Source: https://ailoot.ai/models/id/z-ai-glm-5-3-flash/
Canonical: https://ailoot.ai/models/id/z-ai-glm-5-3-flash/
Language: id
# Z.ai: GLM 5.3 Flash
[Markdown](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/index.md) · [JSON](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/facts.json)
## [Z.ai: GLM 5.3 Flash](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/)
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
- [**Ailoot · Anthropic Messages** `POST /v1/messages` `glm-5.3-flash`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-0)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `glm-5.3-flash`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-1)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `glm-5.3-flash`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-2)
- [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `glm-5.3-flash`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-3)
- [**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `glm-5.3-flash`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-4)
- [**Ailoot · Anthropic Messages** `POST /v1/messages` `glm-4.5`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-5)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `glm-4.5`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-6)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `glm-4.5`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-7)
- [**Ailoot · Anthropic Messages** `POST /v1/messages` `glm-4.5-air`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-8)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `glm-4.5-air`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-9)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `glm-4.5-air`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-10)
- [**Ailoot · Anthropic Messages** `POST /v1/messages` `glm-4.6`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-11)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `glm-4.6`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-12)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `glm-4.6`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-13)
- [**Ailoot · Anthropic Messages** `POST /v1/messages` `glm-4.7`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-14)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `glm-4.7`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-15)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `glm-4.7`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-16)
- [**Ailoot · Anthropic Messages** `POST /v1/messages` `glm-5-turbo`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-17)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `glm-5-turbo`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-18)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `glm-5-turbo`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-19)
- [**Ailoot · Anthropic Messages** `POST /v1/messages` `glm-flash`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-20)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `glm-flash`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-21)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `glm-flash`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-22)
- [**Ailoot · Anthropic Messages** `POST /v1/messages` `glm-flash-latest`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-23)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `glm-flash-latest`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-24)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `glm-flash-latest`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-25)
- [**Ailoot · Anthropic Messages** `POST /v1/messages` `z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-26)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-27)
- [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-28)
- [**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-29)
- [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-30)
- [**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/z-ai-glm-5-3-flash/#method-31)
Tentang model
Deskripsi ini mencakup kemampuan model. Masukan, keluaran, dan opsi yang tersedia di Ailoot tercantum di bawah untuk metode yang dipilih.
#### Model multimodal untuk pekerjaan
GLM 5.3 Flash memadukan pemahaman teks, gambar, video, dan berkas. Model menghasilkan jawaban teks dan ditujukan untuk pemrograman dengan umpan balik visual, pemrosesan dokumen, serta tugas profesional. Konteks hingga satu juta token dan keluaran maksimum 128 ribu token dinyatakan.
#### Arsitektur konteks panjang
Model memiliki 320 miliar parameter, dengan 18 miliar aktif. Perhatian hibrida memadukan pemrosesan jarang dan linear, sedangkan koneksi antarlapisan khusus membantu mempertahankan kestabilan saat skala meningkat. Materi multimodal disertakan dalam prapelatihan.
Informasi visual berpartisipasi dalam siklus kerja: asisten melihat antarmuka atau hasil render, membandingkannya dengan tugas, dan mengusulkan perbaikan. Inilah alasan produsen memperhatikan pemeriksaan hasil visual sebenarnya setelah penulisan kode.
#### Penalaran, alat, dan data
Penalaran selalu aktif. Kedalamannya dipilih melalui tingkat `low`, `high`, dan `max`; mode nonaktif tidak tersedia. Dalam pekerjaan panjang, riwayat penalaran dapat dipertahankan antarlangkah.
Untuk alat, model membentuk nama fungsi dan argumen, aplikasi menjalankan tindakan, lalu mengirim hasil kembali. JSON sesuai untuk pemrosesan jawaban oleh program: bidang yang diharapkan ditentukan melalui instruksi, sedangkan sintaksis dan makna nilai diperiksa secara terpisah. Format streaming memungkinkan teks diterima secara bertahap.
Penyimpanan instruksi atau riwayat berulang dalam cache membantu menggunakan ulang konteks yang telah diproses. Menurut Z.ai, ini mengurangi pemrosesan berulang pada tugas yang sesuai; fakta penggunaan ulang ditentukan oleh hasil permintaan tertentu.
#### Pengembangan berdasarkan instruksi visual
Model dapat menganalisis beberapa tangkapan layar satu produk, hubungan antarhalaman, komponen bersama, keadaan antarmuka, dan animasi. Dalam lingkungan agen dengan alat, model menulis kode, menjalankan aplikasi, melihat tangkapan layar hasil, dan memperjelas ketidaksesuaian. Dalam pengembangan gim, siklus tersebut mencakup aturan, gerakan, interaksi, skor, dan akhir sesi permainan.
#### Dokumen dan analisis profesional
Dalam tugas presentasi, laporan, dan lembar kerja, model mempertimbangkan isi bersama susunan: teks, gambar, diagram, dan posisi unsur. Melalui alat, model dapat membuat serta memeriksa materi PPTX, PDF, DOCX, dan XLSX. Berkas tersebut merupakan hasil pekerjaan aplikasi; jawaban langsung model tetap berupa teks.
Analisis keuangan mencakup laporan, pemeriksaan konsistensi rumus, dan pertimbangan terpisah atas data yang diungkapkan, asumsi, serta kesimpulan. Dalam proses yang dijelaskan produsen, data diambil dari materi tugas.
#### Video, adegan tiga dimensi, dan antarmuka
Dalam lingkungan agen, model dapat menganalisis video, urutan waktu peristiwa, ciri visual peserta, dan subtitel. Alat menyediakan penyuntingan serta penyimpanan hasil.
Saat bekerja dengan adegan tiga dimensi atau gambar teknik, model menghubungkan deskripsi spasial, proporsi, dan hasil terlihat. Siklus dengan alat mencakup pembuatan, render dari sudut tertentu, perbandingan visual, dan perbaikan. Demikian pula, model dapat menganalisis layar aplikasi serta membantu pekerjaan antarmuka secara berurutan.
Skenario tersebut menjelaskan sifat model dalam lingkungan dengan alat yang diperlukan. Jenis materi yang diterima ditentukan oleh metode yang dipilih; pemahaman visual tidak berarti pemrosesan video, berkas, atau pembuatan artefak yang disebutkan otomatis tersedia dalam setiap permintaan.
Tugas praktis
### Tugas praktis
Contoh teknis dalam bahasa Inggris
```
Audit a report calculation
Review these report rows supplied as text: revenue 12,000; cost of goods 7,000; delivery expense 800; reported gross profit 4,200. The report defines gross profit as revenue minus cost of goods, excluding delivery. Identify the formula mismatch, show the defined calculation and suggest a separate label for the delivery-adjusted figure.
```
#### Hasil yang diharapkan
```
A formula check, arithmetic using the given definition and a suggested label distinguishing the two measures.
```
#### Periksa hasil
```
Check that the report's stated definition, rather than an invented accounting rule, determines the correction.
```
**Ailoot · Anthropic Messages** `POST /v1/messages` `glm-5.3-flash`
[`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages)
Z.ai /`glm-5.3-flash`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
- `z-ai/glm-5.3-flash`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · Anthropic Messages** `POST /v1/messages`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-5.3-flash | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan user, assistant | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_block[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`system` | Jenis`string\|content_block[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanWajib | Nilai & batasan Minimum: 1 Batas berlaku untuk: batas maksimum yang tepat untuk model/kartu yang dipilih | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop_sequences` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: alat disediakan | Bawaan— |
| Kolom`tools[].description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].input_schema` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.budget_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`output_config.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`metadata` | Jenis`object` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`cache_control` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content atau blok type=text`
**Teks + gambar**
`{type:image,source:{type:base64,media_type,data}} atau sumber dengan type=url`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages, max\_tokens |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · Anthropic Messages
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-5.3-flash", "max_tokens": 1024, "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-5.3-flash", "max_tokens": 1024, "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image","source":{"type":"base64","media_type":mime,"data":b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
import anthropic
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = anthropic.Anthropic(base_url="https://api.ailoot.ai", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
msg = client.messages.create(
model="glm-5.3-flash",
max_tokens=1024,
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(msg.to_dict(mode="json"))
```
```js
import Anthropic from "@anthropic-ai/sdk";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new Anthropic({ baseURL: "https://api.ailoot.ai", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const msg = await client.messages.create({
model: "glm-5.3-flash",
max_tokens: 1024,
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(msg);
```
```python
import anthropic,os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=anthropic.Anthropic(base_url="https://api.ailoot.ai",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.messages.stream(model='glm-5.3-flash',max_tokens=1024,messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_message()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · Anthropic Messages
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan semua blok konten, tanda tangan penalaran, dan ID penggunaan alat yang sebenarnya. Gabungkan semua delta blok SSE; blok teks pertama bukan keseluruhan keluaran.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`model` | Jenisstring |
| Kolom`content[]` | Jenistext\|thinking\|tool\_use\|other content block |
| Kolom`stop_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages)
**Ailoot · OpenAI Responses** `POST /v1/responses` `glm-5.3-flash`
[`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=responses)
Z.ai /`glm-5.3-flash`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · OpenAI Responses** `POST /v1/responses`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-5.3-flash | Bawaan— |
| Kolom`input` | Jenis`string\|input_item[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan message, reasoning, function\_call, function\_call\_output | Bawaan— |
| Kolom`input[].content` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output; pertahankan call\_id yang benar-benar dikembalikan | Bawaan— |
| Kolom`input[].output` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output | Bawaan— |
| Kolom`max_output_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.summary` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.verbosity` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`include` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`store` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`previous_response_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Persyaratan ID: Hanya ID respons yang benar-benar diperoleh dari kelanjutan yang didukung Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_key` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`Teks masukan atau bagian input_text`
**Teks + gambar**
`{type:input_image,image_url}`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, input |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · OpenAI Responses
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-5.3-flash", "input": ""}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["input"]="Summarize this material and quote supporting source passages.\n\n"+text
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-5.3-flash", "input": [{"role": "user", "content": [{"type": "input_text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["input"][0]["content"].append({"type":"input_image","image_url":"data:"+mime+";base64,"+b64})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.responses.create(model="glm-5.3-flash", input="Explain the difference between an observation and a hypothesis in three sentences.")
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.responses.create({ model: "glm-5.3-flash", input: "Explain the difference between an observation and a hypothesis in three sentences." });
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
with client.responses.stream(model="glm-5.3-flash", input="Explain the difference between an observation and a hypothesis in three sentences.") as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_response()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · OpenAI Responses
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan setiap item keluaran dan bagian konten, call\_id fungsi yang sebenarnya, penalaran terenkripsi, dan data penggunaan. Saat streaming, pertahankan identitas peristiwa/item secara lengkap.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`status` | Jenisstring |
| Kolom`output[]` | Jenismessage\|reasoning\|function\_call\|other item |
| Kolom`output[].content[]` | Jeniscontent part |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=responses), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=responses), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=responses), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=responses), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=responses), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=responses), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=responses), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=responses), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=responses), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=responses), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=responses), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=responses), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=responses), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=responses), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=responses), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=responses), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash)
**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `glm-5.3-flash`
[`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat)
Z.ai /`glm-5.3-flash`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
- `z-ai/glm-5.3-flash`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · OpenAI Chat** `POST /v1/chat/completions`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-5.3-flash | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan Contoh: system, user, assistant, tool, function Kondisi: Peran ini direpresentasikan secara eksplisit oleh tipe kompatibilitas dalam kode sumber; kumpulan peran model yang tepat tetap khusus untuk tiap model. Bergantung pada model | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_part[]\|null` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_calls` | Jenis`tool_call[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: role=tool; gunakan ID yang benar-benar dikembalikan | Bawaan— |
| Kolom`messages[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].reasoning_content` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: Kirim kembali penalaran yang benar-benar dikembalikan jika model ini menggunakannya | Bawaan— |
| Kolom`messages[].reasoning_details` | Jenis`object\|array` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`max_completion_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`stream_options.include_usage` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop` | Jenis`string\|string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`function_tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].function.name` | Jenis`string` | PersyaratanWajib | Nilai & batasan Berlaku jika: alat fungsi disediakan | Bawaan— |
| Kolom`tools[].function.description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].function.parameters` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`response_format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning_effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Kolom kompatibilitas | Bawaan— |
| Kolom`functions` | Jenis`function[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`function_call` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content`
**Teks + gambar**
`{type:image_url,image_url:{url,detail}}`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · OpenAI Chat
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-5.3-flash", "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-5.3-flash", "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image_url","image_url":{"url":"data:"+mime+";base64,"+b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.chat.completions.create(
model="glm-5.3-flash",
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.chat.completions.create({
model: "glm-5.3-flash",
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.chat.completions.stream(model='glm-5.3-flash',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_completion()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · OpenAI Chat
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan setiap alternatif jawaban beserta konten, panggilan alat, dan penalarannya. Dalam SSE, gabungkan delta menurut indeks alternatif jawaban/alat, lalu pertahankan alasan penghentian akhir dan data penggunaan.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`choices[].index` | Jenisinteger |
| Kolom`choices[].message.content` | Jenisstring\|null |
| Kolom`choices[].message.tool_calls` | Jenistool\_call\[\] |
| Kolom`choices[].message.reasoning_content` | Jenisstring |
| Kolom`choices[].message.reasoning_details` | Jenisobject\|array |
| Kolom`choices[].finish_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat)
**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `glm-5.3-flash`
[`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat)
Z.ai /`glm-5.3-flash`
ID model
- `glm-5.3-flash`
- `z-ai/glm-5.3-flash`
- `~z-ai/glm-flash-latest`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions`
Masukan
`text`
Keluaran
`text`
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-5.3-flash | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`messages[].content` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: Percakapan teks | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`required` | Kontrakmodel, messages |
| Parameter`material_types` | Kontraktext |
| Parameter`messages` | Kontrakarray pesan dengan struktur role/content |
| Parameter`file_material` | Kontrakdokumen UTF-8 yang sebenarnya dimasukkan sebagai teks apa adanya; ID file tidak disimpulkan |
| Parameter`optional_controls` | Kontrakstream |
| Parameter`control_scope` | KontrakPercakapan teks; stream adalah nilai boolean dengan false sebagai bawaan. |
| Parameter`output_modalities` | Kontraktext |
| Parameter`hosted_operations` | Kontrakfalse |
| Parameter`multimodal_input_binding` | Kontraknull |
Alias metode: `/chat/completions`
Siklus hidup: `synchronous_or_streamed`
Kirim ID model yang tepat bersama messages.
Panjang konteks bukan batas keluaran.
File teks dapat menyediakan teks apa adanya; masukan gambar/audio/objek file memerlukan pengikatan yang tepat.
### Paket
Referensi tarif tidak menambah opsi permintaan. Parameter yang didukung tercantum pada metode yang dipilih.
Mode Fast
Tarif standar Saat mode fast dipilih
Mode Flex
Tarif standar Saat mode flex dipilih
Upaya penalaran maksimum
Tarif standar Saat upaya penalaran maksimum menggunakan penyesuaian default
Upaya penalaran · high
Tarif standar Saat upaya penalaran bernilai high
Upaya penalaran · low
Tarif standar Saat upaya penalaran bernilai low
Upaya penalaran · max
Tarif standar Saat upaya penalaran bernilai max
#### Tarif Ailoot
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiTarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiPanjang permintaan · tingkat 1 | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
### Contoh permintaan
#### Ailoot Ultra · OpenAI Chat
curlPython SDK
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model":"glm-5.3-flash","messages":[{"role":"user","content":"hello"}],"stream":false}')
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
r=json.loads(Path("result.json").read_text())
for x in r.get("choices",[]):
if x.get("message",{}).get("content"): print(x["message"]["content"])
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
result=client.chat.completions.create(model="glm-5.3-flash", messages=[{"role":"user","content":"hello"}], stream=False)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(result.to_dict(mode="json"))
```
### Terima dan simpan hasil
#### Ailoot Ultra · OpenAI Chat
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan setiap alternatif jawaban beserta konten, panggilan alat, dan penalarannya. Dalam SSE, gabungkan delta menurut indeks alternatif jawaban/alat, lalu pertahankan alasan penghentian akhir dan data penggunaan.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`choices[].index` | Jenisinteger |
| Kolom`choices[].message.content` | Jenisstring\|null |
| Kolom`choices[].message.tool_calls` | Jenistool\_call\[\] |
| Kolom`choices[].message.reasoning_content` | Jenisstring |
| Kolom`choices[].message.reasoning_details` | Jenisobject\|array |
| Kolom`choices[].finish_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat)
**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `glm-5.3-flash`
[`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages)
Z.ai /`glm-5.3-flash`
ID model
- `glm-5.3-flash`
- `z-ai/glm-5.3-flash`
- `~z-ai/glm-flash-latest`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks
Hasil
json · sse
### Tersedia di Ailoot · masukan & metode
**Ailoot Ultra · Anthropic Messages** `POST /v1/messages`
Masukan
`text`
Keluaran
`json`, `sse`
Format keluaran
JSON atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-5.3-flash | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan user, assistant | Bawaan— |
| Kolom`messages[].content` | Jenis`string` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
Kombinasi bahan masukan
**Teks** · Teks UTF-8
`string messages[].content`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`required` | Kontrakmodel, messages, max\_tokens |
| Parameter`optional_controls` | Kontrakstream |
| Parameter`material_types` | Kontraktext |
| Parameter`text_file_material` | KontrakBaca dokumen UTF-8 yang sebenarnya dan masukkan teksnya ke string masukan atau konten pesan yang ditunjukkan. |
Siklus hidup: `synchronous_or_streamed`
### Paket
Referensi tarif tidak menambah opsi permintaan. Parameter yang didukung tercantum pada metode yang dipilih.
Mode Fast
Tarif standar Saat mode fast dipilih
Mode Flex
Tarif standar Saat mode flex dipilih
Upaya penalaran maksimum
Tarif standar Saat upaya penalaran maksimum menggunakan penyesuaian default
Upaya penalaran · high
Tarif standar Saat upaya penalaran bernilai high
Upaya penalaran · low
Tarif standar Saat upaya penalaran bernilai low
Upaya penalaran · max
Tarif standar Saat upaya penalaran bernilai max
#### Tarif Ailoot
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiTarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiPanjang permintaan · tingkat 1 | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
### Contoh permintaan
#### Ailoot Ultra · Anthropic Messages
Isi permintaan JSON minimal yang lengkapcurl · gunakan dokumen UTF-8 AndaPython · simpan hasil secara lengkap
```json
{
"model": "glm-5.3-flash",
"max_tokens": 128,
"messages": [
{
"role": "user",
"content": "Summarize the incident report."
}
],
"stream": false
}
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json, os
from pathlib import Path
source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
raise SystemExit('Choose a document containing text')
payload = {'model': 'glm-5.3-flash', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
Path('request.json').write_text(json.dumps(payload, ensure_ascii=False), encoding='utf-8')
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
PY_RESULT
```
```python
import json, os
from pathlib import Path
source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
raise SystemExit('Choose a document containing text')
payload = {'model': 'glm-5.3-flash', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
from urllib.request import Request, urlopen
from urllib.error import HTTPError
api_key = os.environ['AILOOT_API_KEY']
if not api_key.strip():
raise SystemExit('Set AILOOT_API_KEY before making a request')
headers = {'x-api-key': 'PLACEHOLDER_KEY', 'anthropic-version': '2023-06-01', 'Content-Type': 'application/json'}
headers['x-api-key'] = api_key
request = Request('https://api.ailoot.ai/v1/messages', data=json.dumps(payload, ensure_ascii=False).encode('utf-8'), headers=headers, method='POST')
try:
with urlopen(request, timeout=120) as response:
raw = response.read()
Path('response-headers.txt').write_text(str(response.headers), encoding='utf-8')
except HTTPError as error:
Path('result.json').write_bytes(error.read())
Path('response-headers.txt').write_text(str(error.headers), encoding='utf-8')
raise
Path('result.json').write_bytes(raw)
import json
from pathlib import Path
result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
```
### Terima dan simpan hasil
#### Ailoot Ultra · Anthropic Messages
JSON atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan semua blok konten, tanda tangan penalaran, dan ID penggunaan alat yang sebenarnya. Gabungkan semua delta blok SSE; blok teks pertama bukan keseluruhan keluaran.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`model` | Jenisstring |
| Kolom`content[]` | Jenistext\|thinking\|tool\_use\|other content block |
| Kolom`stop_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages)
**Ailoot · Anthropic Messages** `POST /v1/messages` `glm-4.5`
[`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages)
Z.ai /`glm-4.5`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
- `z-ai/glm-5.3-flash`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · Anthropic Messages** `POST /v1/messages`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-4.5 | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan user, assistant | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_block[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`system` | Jenis`string\|content_block[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanWajib | Nilai & batasan Minimum: 1 Batas berlaku untuk: batas maksimum yang tepat untuk model/kartu yang dipilih | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop_sequences` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: alat disediakan | Bawaan— |
| Kolom`tools[].description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].input_schema` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.budget_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`output_config.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`metadata` | Jenis`object` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`cache_control` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content atau blok type=text`
**Teks + gambar**
`{type:image,source:{type:base64,media_type,data}} atau sumber dengan type=url`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages, max\_tokens |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · Anthropic Messages
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.5", "max_tokens": 1024, "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.5", "max_tokens": 1024, "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image","source":{"type":"base64","media_type":mime,"data":b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
import anthropic
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = anthropic.Anthropic(base_url="https://api.ailoot.ai", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
msg = client.messages.create(
model="glm-4.5",
max_tokens=1024,
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(msg.to_dict(mode="json"))
```
```js
import Anthropic from "@anthropic-ai/sdk";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new Anthropic({ baseURL: "https://api.ailoot.ai", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const msg = await client.messages.create({
model: "glm-4.5",
max_tokens: 1024,
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(msg);
```
```python
import anthropic,os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=anthropic.Anthropic(base_url="https://api.ailoot.ai",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.messages.stream(model='glm-4.5',max_tokens=1024,messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_message()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · Anthropic Messages
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan semua blok konten, tanda tangan penalaran, dan ID penggunaan alat yang sebenarnya. Gabungkan semua delta blok SSE; blok teks pertama bukan keseluruhan keluaran.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`model` | Jenisstring |
| Kolom`content[]` | Jenistext\|thinking\|tool\_use\|other content block |
| Kolom`stop_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages)
**Ailoot · OpenAI Responses** `POST /v1/responses` `glm-4.5`
[`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=responses)
Z.ai /`glm-4.5`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · OpenAI Responses** `POST /v1/responses`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-4.5 | Bawaan— |
| Kolom`input` | Jenis`string\|input_item[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan message, reasoning, function\_call, function\_call\_output | Bawaan— |
| Kolom`input[].content` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output; pertahankan call\_id yang benar-benar dikembalikan | Bawaan— |
| Kolom`input[].output` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output | Bawaan— |
| Kolom`max_output_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.summary` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.verbosity` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`include` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`store` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`previous_response_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Persyaratan ID: Hanya ID respons yang benar-benar diperoleh dari kelanjutan yang didukung Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_key` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`Teks masukan atau bagian input_text`
**Teks + gambar**
`{type:input_image,image_url}`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, input |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · OpenAI Responses
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.5", "input": ""}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["input"]="Summarize this material and quote supporting source passages.\n\n"+text
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.5", "input": [{"role": "user", "content": [{"type": "input_text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["input"][0]["content"].append({"type":"input_image","image_url":"data:"+mime+";base64,"+b64})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.responses.create(model="glm-4.5", input="Explain the difference between an observation and a hypothesis in three sentences.")
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.responses.create({ model: "glm-4.5", input: "Explain the difference between an observation and a hypothesis in three sentences." });
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
with client.responses.stream(model="glm-4.5", input="Explain the difference between an observation and a hypothesis in three sentences.") as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_response()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · OpenAI Responses
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan setiap item keluaran dan bagian konten, call\_id fungsi yang sebenarnya, penalaran terenkripsi, dan data penggunaan. Saat streaming, pertahankan identitas peristiwa/item secara lengkap.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`status` | Jenisstring |
| Kolom`output[]` | Jenismessage\|reasoning\|function\_call\|other item |
| Kolom`output[].content[]` | Jeniscontent part |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=responses), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=responses), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=responses), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=responses), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=responses), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=responses), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=responses), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=responses), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=responses), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=responses), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=responses), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=responses), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=responses), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=responses), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=responses), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=responses), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash)
**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `glm-4.5`
[`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat)
Z.ai /`glm-4.5`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
- `z-ai/glm-5.3-flash`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · OpenAI Chat** `POST /v1/chat/completions`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-4.5 | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan Contoh: system, user, assistant, tool, function Kondisi: Peran ini direpresentasikan secara eksplisit oleh tipe kompatibilitas dalam kode sumber; kumpulan peran model yang tepat tetap khusus untuk tiap model. Bergantung pada model | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_part[]\|null` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_calls` | Jenis`tool_call[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: role=tool; gunakan ID yang benar-benar dikembalikan | Bawaan— |
| Kolom`messages[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].reasoning_content` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: Kirim kembali penalaran yang benar-benar dikembalikan jika model ini menggunakannya | Bawaan— |
| Kolom`messages[].reasoning_details` | Jenis`object\|array` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`max_completion_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`stream_options.include_usage` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop` | Jenis`string\|string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`function_tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].function.name` | Jenis`string` | PersyaratanWajib | Nilai & batasan Berlaku jika: alat fungsi disediakan | Bawaan— |
| Kolom`tools[].function.description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].function.parameters` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`response_format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning_effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Kolom kompatibilitas | Bawaan— |
| Kolom`functions` | Jenis`function[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`function_call` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content`
**Teks + gambar**
`{type:image_url,image_url:{url,detail}}`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · OpenAI Chat
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.5", "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.5", "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image_url","image_url":{"url":"data:"+mime+";base64,"+b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.chat.completions.create(
model="glm-4.5",
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.chat.completions.create({
model: "glm-4.5",
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.chat.completions.stream(model='glm-4.5',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_completion()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · OpenAI Chat
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan setiap alternatif jawaban beserta konten, panggilan alat, dan penalarannya. Dalam SSE, gabungkan delta menurut indeks alternatif jawaban/alat, lalu pertahankan alasan penghentian akhir dan data penggunaan.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`choices[].index` | Jenisinteger |
| Kolom`choices[].message.content` | Jenisstring\|null |
| Kolom`choices[].message.tool_calls` | Jenistool\_call\[\] |
| Kolom`choices[].message.reasoning_content` | Jenisstring |
| Kolom`choices[].message.reasoning_details` | Jenisobject\|array |
| Kolom`choices[].finish_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat)
**Ailoot · Anthropic Messages** `POST /v1/messages` `glm-4.5-air`
[`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages)
Z.ai /`glm-4.5-air`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
- `z-ai/glm-5.3-flash`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · Anthropic Messages** `POST /v1/messages`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-4.5-air | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan user, assistant | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_block[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`system` | Jenis`string\|content_block[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanWajib | Nilai & batasan Minimum: 1 Batas berlaku untuk: batas maksimum yang tepat untuk model/kartu yang dipilih | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop_sequences` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: alat disediakan | Bawaan— |
| Kolom`tools[].description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].input_schema` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.budget_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`output_config.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`metadata` | Jenis`object` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`cache_control` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content atau blok type=text`
**Teks + gambar**
`{type:image,source:{type:base64,media_type,data}} atau sumber dengan type=url`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages, max\_tokens |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · Anthropic Messages
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.5-air", "max_tokens": 1024, "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.5-air", "max_tokens": 1024, "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image","source":{"type":"base64","media_type":mime,"data":b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
import anthropic
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = anthropic.Anthropic(base_url="https://api.ailoot.ai", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
msg = client.messages.create(
model="glm-4.5-air",
max_tokens=1024,
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(msg.to_dict(mode="json"))
```
```js
import Anthropic from "@anthropic-ai/sdk";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new Anthropic({ baseURL: "https://api.ailoot.ai", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const msg = await client.messages.create({
model: "glm-4.5-air",
max_tokens: 1024,
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(msg);
```
```python
import anthropic,os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=anthropic.Anthropic(base_url="https://api.ailoot.ai",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.messages.stream(model='glm-4.5-air',max_tokens=1024,messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_message()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · Anthropic Messages
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan semua blok konten, tanda tangan penalaran, dan ID penggunaan alat yang sebenarnya. Gabungkan semua delta blok SSE; blok teks pertama bukan keseluruhan keluaran.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`model` | Jenisstring |
| Kolom`content[]` | Jenistext\|thinking\|tool\_use\|other content block |
| Kolom`stop_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages)
**Ailoot · OpenAI Responses** `POST /v1/responses` `glm-4.5-air`
[`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=responses)
Z.ai /`glm-4.5-air`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · OpenAI Responses** `POST /v1/responses`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-4.5-air | Bawaan— |
| Kolom`input` | Jenis`string\|input_item[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan message, reasoning, function\_call, function\_call\_output | Bawaan— |
| Kolom`input[].content` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output; pertahankan call\_id yang benar-benar dikembalikan | Bawaan— |
| Kolom`input[].output` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output | Bawaan— |
| Kolom`max_output_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.summary` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.verbosity` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`include` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`store` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`previous_response_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Persyaratan ID: Hanya ID respons yang benar-benar diperoleh dari kelanjutan yang didukung Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_key` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`Teks masukan atau bagian input_text`
**Teks + gambar**
`{type:input_image,image_url}`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, input |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · OpenAI Responses
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.5-air", "input": ""}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["input"]="Summarize this material and quote supporting source passages.\n\n"+text
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.5-air", "input": [{"role": "user", "content": [{"type": "input_text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["input"][0]["content"].append({"type":"input_image","image_url":"data:"+mime+";base64,"+b64})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.responses.create(model="glm-4.5-air", input="Explain the difference between an observation and a hypothesis in three sentences.")
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.responses.create({ model: "glm-4.5-air", input: "Explain the difference between an observation and a hypothesis in three sentences." });
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
with client.responses.stream(model="glm-4.5-air", input="Explain the difference between an observation and a hypothesis in three sentences.") as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_response()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · OpenAI Responses
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan setiap item keluaran dan bagian konten, call\_id fungsi yang sebenarnya, penalaran terenkripsi, dan data penggunaan. Saat streaming, pertahankan identitas peristiwa/item secara lengkap.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`status` | Jenisstring |
| Kolom`output[]` | Jenismessage\|reasoning\|function\_call\|other item |
| Kolom`output[].content[]` | Jeniscontent part |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=responses), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=responses), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=responses), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=responses), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=responses), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=responses), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=responses), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=responses), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=responses), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=responses), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=responses), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=responses), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=responses), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=responses), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=responses), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=responses), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash)
**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `glm-4.5-air`
[`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat)
Z.ai /`glm-4.5-air`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
- `z-ai/glm-5.3-flash`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · OpenAI Chat** `POST /v1/chat/completions`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-4.5-air | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan Contoh: system, user, assistant, tool, function Kondisi: Peran ini direpresentasikan secara eksplisit oleh tipe kompatibilitas dalam kode sumber; kumpulan peran model yang tepat tetap khusus untuk tiap model. Bergantung pada model | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_part[]\|null` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_calls` | Jenis`tool_call[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: role=tool; gunakan ID yang benar-benar dikembalikan | Bawaan— |
| Kolom`messages[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].reasoning_content` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: Kirim kembali penalaran yang benar-benar dikembalikan jika model ini menggunakannya | Bawaan— |
| Kolom`messages[].reasoning_details` | Jenis`object\|array` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`max_completion_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`stream_options.include_usage` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop` | Jenis`string\|string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`function_tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].function.name` | Jenis`string` | PersyaratanWajib | Nilai & batasan Berlaku jika: alat fungsi disediakan | Bawaan— |
| Kolom`tools[].function.description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].function.parameters` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`response_format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning_effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Kolom kompatibilitas | Bawaan— |
| Kolom`functions` | Jenis`function[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`function_call` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content`
**Teks + gambar**
`{type:image_url,image_url:{url,detail}}`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · OpenAI Chat
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.5-air", "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.5-air", "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image_url","image_url":{"url":"data:"+mime+";base64,"+b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.chat.completions.create(
model="glm-4.5-air",
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.chat.completions.create({
model: "glm-4.5-air",
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.chat.completions.stream(model='glm-4.5-air',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_completion()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · OpenAI Chat
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan setiap alternatif jawaban beserta konten, panggilan alat, dan penalarannya. Dalam SSE, gabungkan delta menurut indeks alternatif jawaban/alat, lalu pertahankan alasan penghentian akhir dan data penggunaan.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`choices[].index` | Jenisinteger |
| Kolom`choices[].message.content` | Jenisstring\|null |
| Kolom`choices[].message.tool_calls` | Jenistool\_call\[\] |
| Kolom`choices[].message.reasoning_content` | Jenisstring |
| Kolom`choices[].message.reasoning_details` | Jenisobject\|array |
| Kolom`choices[].finish_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat)
**Ailoot · Anthropic Messages** `POST /v1/messages` `glm-4.6`
[`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages)
Z.ai /`glm-4.6`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
- `z-ai/glm-5.3-flash`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · Anthropic Messages** `POST /v1/messages`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-4.6 | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan user, assistant | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_block[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`system` | Jenis`string\|content_block[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanWajib | Nilai & batasan Minimum: 1 Batas berlaku untuk: batas maksimum yang tepat untuk model/kartu yang dipilih | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop_sequences` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: alat disediakan | Bawaan— |
| Kolom`tools[].description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].input_schema` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.budget_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`output_config.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`metadata` | Jenis`object` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`cache_control` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content atau blok type=text`
**Teks + gambar**
`{type:image,source:{type:base64,media_type,data}} atau sumber dengan type=url`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages, max\_tokens |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · Anthropic Messages
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.6", "max_tokens": 1024, "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.6", "max_tokens": 1024, "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image","source":{"type":"base64","media_type":mime,"data":b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
import anthropic
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = anthropic.Anthropic(base_url="https://api.ailoot.ai", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
msg = client.messages.create(
model="glm-4.6",
max_tokens=1024,
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(msg.to_dict(mode="json"))
```
```js
import Anthropic from "@anthropic-ai/sdk";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new Anthropic({ baseURL: "https://api.ailoot.ai", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const msg = await client.messages.create({
model: "glm-4.6",
max_tokens: 1024,
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(msg);
```
```python
import anthropic,os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=anthropic.Anthropic(base_url="https://api.ailoot.ai",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.messages.stream(model='glm-4.6',max_tokens=1024,messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_message()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · Anthropic Messages
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan semua blok konten, tanda tangan penalaran, dan ID penggunaan alat yang sebenarnya. Gabungkan semua delta blok SSE; blok teks pertama bukan keseluruhan keluaran.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`model` | Jenisstring |
| Kolom`content[]` | Jenistext\|thinking\|tool\_use\|other content block |
| Kolom`stop_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages)
**Ailoot · OpenAI Responses** `POST /v1/responses` `glm-4.6`
[`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=responses)
Z.ai /`glm-4.6`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · OpenAI Responses** `POST /v1/responses`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-4.6 | Bawaan— |
| Kolom`input` | Jenis`string\|input_item[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan message, reasoning, function\_call, function\_call\_output | Bawaan— |
| Kolom`input[].content` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output; pertahankan call\_id yang benar-benar dikembalikan | Bawaan— |
| Kolom`input[].output` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output | Bawaan— |
| Kolom`max_output_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.summary` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.verbosity` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`include` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`store` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`previous_response_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Persyaratan ID: Hanya ID respons yang benar-benar diperoleh dari kelanjutan yang didukung Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_key` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`Teks masukan atau bagian input_text`
**Teks + gambar**
`{type:input_image,image_url}`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, input |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · OpenAI Responses
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.6", "input": ""}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["input"]="Summarize this material and quote supporting source passages.\n\n"+text
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.6", "input": [{"role": "user", "content": [{"type": "input_text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["input"][0]["content"].append({"type":"input_image","image_url":"data:"+mime+";base64,"+b64})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.responses.create(model="glm-4.6", input="Explain the difference between an observation and a hypothesis in three sentences.")
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.responses.create({ model: "glm-4.6", input: "Explain the difference between an observation and a hypothesis in three sentences." });
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
with client.responses.stream(model="glm-4.6", input="Explain the difference between an observation and a hypothesis in three sentences.") as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_response()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · OpenAI Responses
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan setiap item keluaran dan bagian konten, call\_id fungsi yang sebenarnya, penalaran terenkripsi, dan data penggunaan. Saat streaming, pertahankan identitas peristiwa/item secara lengkap.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`status` | Jenisstring |
| Kolom`output[]` | Jenismessage\|reasoning\|function\_call\|other item |
| Kolom`output[].content[]` | Jeniscontent part |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=responses), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=responses), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=responses), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=responses), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=responses), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=responses), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=responses), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=responses), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=responses), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=responses), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=responses), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=responses), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=responses), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=responses), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=responses), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=responses), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash)
**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `glm-4.6`
[`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat)
Z.ai /`glm-4.6`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
- `z-ai/glm-5.3-flash`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · OpenAI Chat** `POST /v1/chat/completions`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-4.6 | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan Contoh: system, user, assistant, tool, function Kondisi: Peran ini direpresentasikan secara eksplisit oleh tipe kompatibilitas dalam kode sumber; kumpulan peran model yang tepat tetap khusus untuk tiap model. Bergantung pada model | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_part[]\|null` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_calls` | Jenis`tool_call[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: role=tool; gunakan ID yang benar-benar dikembalikan | Bawaan— |
| Kolom`messages[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].reasoning_content` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: Kirim kembali penalaran yang benar-benar dikembalikan jika model ini menggunakannya | Bawaan— |
| Kolom`messages[].reasoning_details` | Jenis`object\|array` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`max_completion_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`stream_options.include_usage` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop` | Jenis`string\|string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`function_tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].function.name` | Jenis`string` | PersyaratanWajib | Nilai & batasan Berlaku jika: alat fungsi disediakan | Bawaan— |
| Kolom`tools[].function.description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].function.parameters` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`response_format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning_effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Kolom kompatibilitas | Bawaan— |
| Kolom`functions` | Jenis`function[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`function_call` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content`
**Teks + gambar**
`{type:image_url,image_url:{url,detail}}`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · OpenAI Chat
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.6", "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.6", "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image_url","image_url":{"url":"data:"+mime+";base64,"+b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.chat.completions.create(
model="glm-4.6",
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.chat.completions.create({
model: "glm-4.6",
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.chat.completions.stream(model='glm-4.6',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_completion()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · OpenAI Chat
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan setiap alternatif jawaban beserta konten, panggilan alat, dan penalarannya. Dalam SSE, gabungkan delta menurut indeks alternatif jawaban/alat, lalu pertahankan alasan penghentian akhir dan data penggunaan.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`choices[].index` | Jenisinteger |
| Kolom`choices[].message.content` | Jenisstring\|null |
| Kolom`choices[].message.tool_calls` | Jenistool\_call\[\] |
| Kolom`choices[].message.reasoning_content` | Jenisstring |
| Kolom`choices[].message.reasoning_details` | Jenisobject\|array |
| Kolom`choices[].finish_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat)
**Ailoot · Anthropic Messages** `POST /v1/messages` `glm-4.7`
[`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages)
Z.ai /`glm-4.7`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
- `z-ai/glm-5.3-flash`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · Anthropic Messages** `POST /v1/messages`
Masukan
`text`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-4.7 | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan user, assistant | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_block[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`system` | Jenis`string\|content_block[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanWajib | Nilai & batasan Minimum: 1 Batas berlaku untuk: batas maksimum yang tepat untuk model/kartu yang dipilih | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop_sequences` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: alat disediakan | Bawaan— |
| Kolom`tools[].description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].input_schema` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.budget_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`output_config.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`metadata` | Jenis`object` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`cache_control` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content atau blok type=text`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext |
| Parameter`required` | Kontrakmodel, messages, max\_tokens |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · Anthropic Messages
Contoh teksPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.7", "max_tokens": 1024, "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
import anthropic
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = anthropic.Anthropic(base_url="https://api.ailoot.ai", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
msg = client.messages.create(
model="glm-4.7",
max_tokens=1024,
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(msg.to_dict(mode="json"))
```
```js
import Anthropic from "@anthropic-ai/sdk";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new Anthropic({ baseURL: "https://api.ailoot.ai", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const msg = await client.messages.create({
model: "glm-4.7",
max_tokens: 1024,
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(msg);
```
```python
import anthropic,os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=anthropic.Anthropic(base_url="https://api.ailoot.ai",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.messages.stream(model='glm-4.7',max_tokens=1024,messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_message()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · Anthropic Messages
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan semua blok konten, tanda tangan penalaran, dan ID penggunaan alat yang sebenarnya. Gabungkan semua delta blok SSE; blok teks pertama bukan keseluruhan keluaran.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`model` | Jenisstring |
| Kolom`content[]` | Jenistext\|thinking\|tool\_use\|other content block |
| Kolom`stop_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages)
**Ailoot · OpenAI Responses** `POST /v1/responses` `glm-4.7`
[`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=responses)
Z.ai /`glm-4.7`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · OpenAI Responses** `POST /v1/responses`
Masukan
`text`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-4.7 | Bawaan— |
| Kolom`input` | Jenis`string\|input_item[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan message, reasoning, function\_call, function\_call\_output | Bawaan— |
| Kolom`input[].content` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output; pertahankan call\_id yang benar-benar dikembalikan | Bawaan— |
| Kolom`input[].output` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output | Bawaan— |
| Kolom`max_output_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.summary` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.verbosity` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`include` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`store` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`previous_response_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Persyaratan ID: Hanya ID respons yang benar-benar diperoleh dari kelanjutan yang didukung Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_key` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`Teks masukan atau bagian input_text`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext |
| Parameter`required` | Kontrakmodel, input |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · OpenAI Responses
Contoh teksPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.7", "input": ""}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["input"]="Summarize this material and quote supporting source passages.\n\n"+text
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.responses.create(model="glm-4.7", input="Explain the difference between an observation and a hypothesis in three sentences.")
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.responses.create({ model: "glm-4.7", input: "Explain the difference between an observation and a hypothesis in three sentences." });
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
with client.responses.stream(model="glm-4.7", input="Explain the difference between an observation and a hypothesis in three sentences.") as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_response()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · OpenAI Responses
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan setiap item keluaran dan bagian konten, call\_id fungsi yang sebenarnya, penalaran terenkripsi, dan data penggunaan. Saat streaming, pertahankan identitas peristiwa/item secara lengkap.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`status` | Jenisstring |
| Kolom`output[]` | Jenismessage\|reasoning\|function\_call\|other item |
| Kolom`output[].content[]` | Jeniscontent part |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=responses), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=responses), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=responses), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=responses), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=responses), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=responses), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=responses), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=responses), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=responses), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=responses), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=responses), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=responses), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=responses), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=responses), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=responses), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=responses), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash)
**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `glm-4.7`
[`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat)
Z.ai /`glm-4.7`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
- `z-ai/glm-5.3-flash`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · OpenAI Chat** `POST /v1/chat/completions`
Masukan
`text`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-4.7 | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan Contoh: system, user, assistant, tool, function Kondisi: Peran ini direpresentasikan secara eksplisit oleh tipe kompatibilitas dalam kode sumber; kumpulan peran model yang tepat tetap khusus untuk tiap model. Bergantung pada model | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_part[]\|null` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_calls` | Jenis`tool_call[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: role=tool; gunakan ID yang benar-benar dikembalikan | Bawaan— |
| Kolom`messages[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].reasoning_content` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: Kirim kembali penalaran yang benar-benar dikembalikan jika model ini menggunakannya | Bawaan— |
| Kolom`messages[].reasoning_details` | Jenis`object\|array` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`max_completion_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`stream_options.include_usage` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop` | Jenis`string\|string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`function_tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].function.name` | Jenis`string` | PersyaratanWajib | Nilai & batasan Berlaku jika: alat fungsi disediakan | Bawaan— |
| Kolom`tools[].function.description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].function.parameters` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`response_format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning_effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Kolom kompatibilitas | Bawaan— |
| Kolom`functions` | Jenis`function[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`function_call` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext |
| Parameter`required` | Kontrakmodel, messages |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · OpenAI Chat
Contoh teksPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-4.7", "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.chat.completions.create(
model="glm-4.7",
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.chat.completions.create({
model: "glm-4.7",
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.chat.completions.stream(model='glm-4.7',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_completion()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · OpenAI Chat
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan setiap alternatif jawaban beserta konten, panggilan alat, dan penalarannya. Dalam SSE, gabungkan delta menurut indeks alternatif jawaban/alat, lalu pertahankan alasan penghentian akhir dan data penggunaan.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`choices[].index` | Jenisinteger |
| Kolom`choices[].message.content` | Jenisstring\|null |
| Kolom`choices[].message.tool_calls` | Jenistool\_call\[\] |
| Kolom`choices[].message.reasoning_content` | Jenisstring |
| Kolom`choices[].message.reasoning_details` | Jenisobject\|array |
| Kolom`choices[].finish_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat)
**Ailoot · Anthropic Messages** `POST /v1/messages` `glm-5-turbo`
[`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages)
Z.ai /`glm-5-turbo`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
- `z-ai/glm-5.3-flash`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · Anthropic Messages** `POST /v1/messages`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-5-turbo | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan user, assistant | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_block[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`system` | Jenis`string\|content_block[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanWajib | Nilai & batasan Minimum: 1 Batas berlaku untuk: batas maksimum yang tepat untuk model/kartu yang dipilih | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop_sequences` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: alat disediakan | Bawaan— |
| Kolom`tools[].description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].input_schema` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.budget_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`output_config.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`metadata` | Jenis`object` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`cache_control` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content atau blok type=text`
**Teks + gambar**
`{type:image,source:{type:base64,media_type,data}} atau sumber dengan type=url`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages, max\_tokens |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · Anthropic Messages
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-5-turbo", "max_tokens": 1024, "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-5-turbo", "max_tokens": 1024, "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image","source":{"type":"base64","media_type":mime,"data":b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
import anthropic
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = anthropic.Anthropic(base_url="https://api.ailoot.ai", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
msg = client.messages.create(
model="glm-5-turbo",
max_tokens=1024,
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(msg.to_dict(mode="json"))
```
```js
import Anthropic from "@anthropic-ai/sdk";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new Anthropic({ baseURL: "https://api.ailoot.ai", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const msg = await client.messages.create({
model: "glm-5-turbo",
max_tokens: 1024,
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(msg);
```
```python
import anthropic,os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=anthropic.Anthropic(base_url="https://api.ailoot.ai",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.messages.stream(model='glm-5-turbo',max_tokens=1024,messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_message()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · Anthropic Messages
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan semua blok konten, tanda tangan penalaran, dan ID penggunaan alat yang sebenarnya. Gabungkan semua delta blok SSE; blok teks pertama bukan keseluruhan keluaran.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`model` | Jenisstring |
| Kolom`content[]` | Jenistext\|thinking\|tool\_use\|other content block |
| Kolom`stop_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages)
**Ailoot · OpenAI Responses** `POST /v1/responses` `glm-5-turbo`
[`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=responses)
Z.ai /`glm-5-turbo`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · OpenAI Responses** `POST /v1/responses`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-5-turbo | Bawaan— |
| Kolom`input` | Jenis`string\|input_item[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan message, reasoning, function\_call, function\_call\_output | Bawaan— |
| Kolom`input[].content` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output; pertahankan call\_id yang benar-benar dikembalikan | Bawaan— |
| Kolom`input[].output` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output | Bawaan— |
| Kolom`max_output_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.summary` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.verbosity` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`include` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`store` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`previous_response_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Persyaratan ID: Hanya ID respons yang benar-benar diperoleh dari kelanjutan yang didukung Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_key` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`Teks masukan atau bagian input_text`
**Teks + gambar**
`{type:input_image,image_url}`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, input |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · OpenAI Responses
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-5-turbo", "input": ""}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["input"]="Summarize this material and quote supporting source passages.\n\n"+text
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-5-turbo", "input": [{"role": "user", "content": [{"type": "input_text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["input"][0]["content"].append({"type":"input_image","image_url":"data:"+mime+";base64,"+b64})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.responses.create(model="glm-5-turbo", input="Explain the difference between an observation and a hypothesis in three sentences.")
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.responses.create({ model: "glm-5-turbo", input: "Explain the difference between an observation and a hypothesis in three sentences." });
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
with client.responses.stream(model="glm-5-turbo", input="Explain the difference between an observation and a hypothesis in three sentences.") as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_response()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · OpenAI Responses
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan setiap item keluaran dan bagian konten, call\_id fungsi yang sebenarnya, penalaran terenkripsi, dan data penggunaan. Saat streaming, pertahankan identitas peristiwa/item secara lengkap.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`status` | Jenisstring |
| Kolom`output[]` | Jenismessage\|reasoning\|function\_call\|other item |
| Kolom`output[].content[]` | Jeniscontent part |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=responses), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=responses), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=responses), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=responses), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=responses), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=responses), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=responses), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=responses), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=responses), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=responses), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=responses), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=responses), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=responses), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=responses), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=responses), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=responses), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash)
**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `glm-5-turbo`
[`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat)
Z.ai /`glm-5-turbo`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
- `z-ai/glm-5.3-flash`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · OpenAI Chat** `POST /v1/chat/completions`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-5-turbo | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan Contoh: system, user, assistant, tool, function Kondisi: Peran ini direpresentasikan secara eksplisit oleh tipe kompatibilitas dalam kode sumber; kumpulan peran model yang tepat tetap khusus untuk tiap model. Bergantung pada model | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_part[]\|null` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_calls` | Jenis`tool_call[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: role=tool; gunakan ID yang benar-benar dikembalikan | Bawaan— |
| Kolom`messages[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].reasoning_content` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: Kirim kembali penalaran yang benar-benar dikembalikan jika model ini menggunakannya | Bawaan— |
| Kolom`messages[].reasoning_details` | Jenis`object\|array` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`max_completion_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`stream_options.include_usage` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop` | Jenis`string\|string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`function_tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].function.name` | Jenis`string` | PersyaratanWajib | Nilai & batasan Berlaku jika: alat fungsi disediakan | Bawaan— |
| Kolom`tools[].function.description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].function.parameters` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`response_format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning_effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Kolom kompatibilitas | Bawaan— |
| Kolom`functions` | Jenis`function[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`function_call` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content`
**Teks + gambar**
`{type:image_url,image_url:{url,detail}}`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · OpenAI Chat
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-5-turbo", "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-5-turbo", "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image_url","image_url":{"url":"data:"+mime+";base64,"+b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.chat.completions.create(
model="glm-5-turbo",
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.chat.completions.create({
model: "glm-5-turbo",
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.chat.completions.stream(model='glm-5-turbo',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_completion()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · OpenAI Chat
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan setiap alternatif jawaban beserta konten, panggilan alat, dan penalarannya. Dalam SSE, gabungkan delta menurut indeks alternatif jawaban/alat, lalu pertahankan alasan penghentian akhir dan data penggunaan.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`choices[].index` | Jenisinteger |
| Kolom`choices[].message.content` | Jenisstring\|null |
| Kolom`choices[].message.tool_calls` | Jenistool\_call\[\] |
| Kolom`choices[].message.reasoning_content` | Jenisstring |
| Kolom`choices[].message.reasoning_details` | Jenisobject\|array |
| Kolom`choices[].finish_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat)
**Ailoot · Anthropic Messages** `POST /v1/messages` `glm-flash`
[`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages)
Z.ai /`glm-flash`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
- `z-ai/glm-5.3-flash`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · Anthropic Messages** `POST /v1/messages`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-flash | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan user, assistant | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_block[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`system` | Jenis`string\|content_block[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanWajib | Nilai & batasan Minimum: 1 Batas berlaku untuk: batas maksimum yang tepat untuk model/kartu yang dipilih | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop_sequences` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: alat disediakan | Bawaan— |
| Kolom`tools[].description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].input_schema` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.budget_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`output_config.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`metadata` | Jenis`object` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`cache_control` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content atau blok type=text`
**Teks + gambar**
`{type:image,source:{type:base64,media_type,data}} atau sumber dengan type=url`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages, max\_tokens |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · Anthropic Messages
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-flash", "max_tokens": 1024, "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-flash", "max_tokens": 1024, "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image","source":{"type":"base64","media_type":mime,"data":b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
import anthropic
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = anthropic.Anthropic(base_url="https://api.ailoot.ai", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
msg = client.messages.create(
model="glm-flash",
max_tokens=1024,
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(msg.to_dict(mode="json"))
```
```js
import Anthropic from "@anthropic-ai/sdk";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new Anthropic({ baseURL: "https://api.ailoot.ai", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const msg = await client.messages.create({
model: "glm-flash",
max_tokens: 1024,
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(msg);
```
```python
import anthropic,os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=anthropic.Anthropic(base_url="https://api.ailoot.ai",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.messages.stream(model='glm-flash',max_tokens=1024,messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_message()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · Anthropic Messages
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan semua blok konten, tanda tangan penalaran, dan ID penggunaan alat yang sebenarnya. Gabungkan semua delta blok SSE; blok teks pertama bukan keseluruhan keluaran.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`model` | Jenisstring |
| Kolom`content[]` | Jenistext\|thinking\|tool\_use\|other content block |
| Kolom`stop_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages)
**Ailoot · OpenAI Responses** `POST /v1/responses` `glm-flash`
[`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=responses)
Z.ai /`glm-flash`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · OpenAI Responses** `POST /v1/responses`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-flash | Bawaan— |
| Kolom`input` | Jenis`string\|input_item[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan message, reasoning, function\_call, function\_call\_output | Bawaan— |
| Kolom`input[].content` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output; pertahankan call\_id yang benar-benar dikembalikan | Bawaan— |
| Kolom`input[].output` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output | Bawaan— |
| Kolom`max_output_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.summary` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.verbosity` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`include` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`store` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`previous_response_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Persyaratan ID: Hanya ID respons yang benar-benar diperoleh dari kelanjutan yang didukung Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_key` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`Teks masukan atau bagian input_text`
**Teks + gambar**
`{type:input_image,image_url}`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, input |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · OpenAI Responses
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-flash", "input": ""}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["input"]="Summarize this material and quote supporting source passages.\n\n"+text
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-flash", "input": [{"role": "user", "content": [{"type": "input_text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["input"][0]["content"].append({"type":"input_image","image_url":"data:"+mime+";base64,"+b64})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.responses.create(model="glm-flash", input="Explain the difference between an observation and a hypothesis in three sentences.")
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.responses.create({ model: "glm-flash", input: "Explain the difference between an observation and a hypothesis in three sentences." });
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
with client.responses.stream(model="glm-flash", input="Explain the difference between an observation and a hypothesis in three sentences.") as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_response()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · OpenAI Responses
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan setiap item keluaran dan bagian konten, call\_id fungsi yang sebenarnya, penalaran terenkripsi, dan data penggunaan. Saat streaming, pertahankan identitas peristiwa/item secara lengkap.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`status` | Jenisstring |
| Kolom`output[]` | Jenismessage\|reasoning\|function\_call\|other item |
| Kolom`output[].content[]` | Jeniscontent part |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=responses), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=responses), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=responses), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=responses), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=responses), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=responses), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=responses), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=responses), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=responses), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=responses), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=responses), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=responses), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=responses), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=responses), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=responses), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=responses), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash)
**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `glm-flash`
[`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat)
Z.ai /`glm-flash`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
- `z-ai/glm-5.3-flash`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · OpenAI Chat** `POST /v1/chat/completions`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-flash | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan Contoh: system, user, assistant, tool, function Kondisi: Peran ini direpresentasikan secara eksplisit oleh tipe kompatibilitas dalam kode sumber; kumpulan peran model yang tepat tetap khusus untuk tiap model. Bergantung pada model | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_part[]\|null` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_calls` | Jenis`tool_call[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: role=tool; gunakan ID yang benar-benar dikembalikan | Bawaan— |
| Kolom`messages[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].reasoning_content` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: Kirim kembali penalaran yang benar-benar dikembalikan jika model ini menggunakannya | Bawaan— |
| Kolom`messages[].reasoning_details` | Jenis`object\|array` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`max_completion_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`stream_options.include_usage` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop` | Jenis`string\|string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`function_tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].function.name` | Jenis`string` | PersyaratanWajib | Nilai & batasan Berlaku jika: alat fungsi disediakan | Bawaan— |
| Kolom`tools[].function.description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].function.parameters` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`response_format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning_effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Kolom kompatibilitas | Bawaan— |
| Kolom`functions` | Jenis`function[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`function_call` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content`
**Teks + gambar**
`{type:image_url,image_url:{url,detail}}`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · OpenAI Chat
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-flash", "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-flash", "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image_url","image_url":{"url":"data:"+mime+";base64,"+b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.chat.completions.create(
model="glm-flash",
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.chat.completions.create({
model: "glm-flash",
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.chat.completions.stream(model='glm-flash',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_completion()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · OpenAI Chat
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan setiap alternatif jawaban beserta konten, panggilan alat, dan penalarannya. Dalam SSE, gabungkan delta menurut indeks alternatif jawaban/alat, lalu pertahankan alasan penghentian akhir dan data penggunaan.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`choices[].index` | Jenisinteger |
| Kolom`choices[].message.content` | Jenisstring\|null |
| Kolom`choices[].message.tool_calls` | Jenistool\_call\[\] |
| Kolom`choices[].message.reasoning_content` | Jenisstring |
| Kolom`choices[].message.reasoning_details` | Jenisobject\|array |
| Kolom`choices[].finish_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat)
**Ailoot · Anthropic Messages** `POST /v1/messages` `glm-flash-latest`
[`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages)
Z.ai /`glm-flash-latest`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
- `z-ai/glm-5.3-flash`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · Anthropic Messages** `POST /v1/messages`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-flash-latest | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan user, assistant | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_block[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`system` | Jenis`string\|content_block[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanWajib | Nilai & batasan Minimum: 1 Batas berlaku untuk: batas maksimum yang tepat untuk model/kartu yang dipilih | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop_sequences` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: alat disediakan | Bawaan— |
| Kolom`tools[].description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].input_schema` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.budget_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`output_config.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`metadata` | Jenis`object` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`cache_control` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content atau blok type=text`
**Teks + gambar**
`{type:image,source:{type:base64,media_type,data}} atau sumber dengan type=url`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages, max\_tokens |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · Anthropic Messages
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-flash-latest", "max_tokens": 1024, "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-flash-latest", "max_tokens": 1024, "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image","source":{"type":"base64","media_type":mime,"data":b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
import anthropic
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = anthropic.Anthropic(base_url="https://api.ailoot.ai", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
msg = client.messages.create(
model="glm-flash-latest",
max_tokens=1024,
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(msg.to_dict(mode="json"))
```
```js
import Anthropic from "@anthropic-ai/sdk";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new Anthropic({ baseURL: "https://api.ailoot.ai", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const msg = await client.messages.create({
model: "glm-flash-latest",
max_tokens: 1024,
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(msg);
```
```python
import anthropic,os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=anthropic.Anthropic(base_url="https://api.ailoot.ai",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.messages.stream(model='glm-flash-latest',max_tokens=1024,messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_message()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · Anthropic Messages
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan semua blok konten, tanda tangan penalaran, dan ID penggunaan alat yang sebenarnya. Gabungkan semua delta blok SSE; blok teks pertama bukan keseluruhan keluaran.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`model` | Jenisstring |
| Kolom`content[]` | Jenistext\|thinking\|tool\_use\|other content block |
| Kolom`stop_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages)
**Ailoot · OpenAI Responses** `POST /v1/responses` `glm-flash-latest`
[`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=responses)
Z.ai /`glm-flash-latest`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · OpenAI Responses** `POST /v1/responses`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-flash-latest | Bawaan— |
| Kolom`input` | Jenis`string\|input_item[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan message, reasoning, function\_call, function\_call\_output | Bawaan— |
| Kolom`input[].content` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output; pertahankan call\_id yang benar-benar dikembalikan | Bawaan— |
| Kolom`input[].output` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output | Bawaan— |
| Kolom`max_output_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.summary` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.verbosity` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`include` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`store` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`previous_response_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Persyaratan ID: Hanya ID respons yang benar-benar diperoleh dari kelanjutan yang didukung Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_key` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`Teks masukan atau bagian input_text`
**Teks + gambar**
`{type:input_image,image_url}`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, input |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · OpenAI Responses
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-flash-latest", "input": ""}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["input"]="Summarize this material and quote supporting source passages.\n\n"+text
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-flash-latest", "input": [{"role": "user", "content": [{"type": "input_text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["input"][0]["content"].append({"type":"input_image","image_url":"data:"+mime+";base64,"+b64})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.responses.create(model="glm-flash-latest", input="Explain the difference between an observation and a hypothesis in three sentences.")
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.responses.create({ model: "glm-flash-latest", input: "Explain the difference between an observation and a hypothesis in three sentences." });
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
with client.responses.stream(model="glm-flash-latest", input="Explain the difference between an observation and a hypothesis in three sentences.") as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_response()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · OpenAI Responses
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan setiap item keluaran dan bagian konten, call\_id fungsi yang sebenarnya, penalaran terenkripsi, dan data penggunaan. Saat streaming, pertahankan identitas peristiwa/item secara lengkap.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`status` | Jenisstring |
| Kolom`output[]` | Jenismessage\|reasoning\|function\_call\|other item |
| Kolom`output[].content[]` | Jeniscontent part |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=responses), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=responses), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=responses), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=responses), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=responses), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=responses), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=responses), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=responses), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=responses), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=responses), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=responses), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=responses), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=responses), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=responses), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=responses), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=responses), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash)
**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `glm-flash-latest`
[`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat)
Z.ai /`glm-flash-latest`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
- `z-ai/glm-5.3-flash`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks · Gambar
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · OpenAI Chat** `POST /v1/chat/completions`
Masukan
`text`, `image`
Keluaran
`text`
Konteks
1.000.000 tokens
Keluaran maksimum
131.072 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan glm-flash-latest | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan Contoh: system, user, assistant, tool, function Kondisi: Peran ini direpresentasikan secara eksplisit oleh tipe kompatibilitas dalam kode sumber; kumpulan peran model yang tepat tetap khusus untuk tiap model. Bergantung pada model | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_part[]\|null` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_calls` | Jenis`tool_call[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: role=tool; gunakan ID yang benar-benar dikembalikan | Bawaan— |
| Kolom`messages[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].reasoning_content` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: Kirim kembali penalaran yang benar-benar dikembalikan jika model ini menggunakannya | Bawaan— |
| Kolom`messages[].reasoning_details` | Jenis`object\|array` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`max_completion_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`stream_options.include_usage` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop` | Jenis`string\|string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`function_tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].function.name` | Jenis`string` | PersyaratanWajib | Nilai & batasan Berlaku jika: alat fungsi disediakan | Bawaan— |
| Kolom`tools[].function.description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].function.parameters` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`response_format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning_effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Kolom kompatibilitas | Bawaan— |
| Kolom`functions` | Jenis`function[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`function_call` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content`
**Teks + gambar**
`{type:image_url,image_url:{url,detail}}`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · OpenAI Chat
Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-flash-latest", "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "glm-flash-latest", "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image_url","image_url":{"url":"data:"+mime+";base64,"+b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.chat.completions.create(
model="glm-flash-latest",
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.chat.completions.create({
model: "glm-flash-latest",
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.chat.completions.stream(model='glm-flash-latest',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_completion()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · OpenAI Chat
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan setiap alternatif jawaban beserta konten, panggilan alat, dan penalarannya. Dalam SSE, gabungkan delta menurut indeks alternatif jawaban/alat, lalu pertahankan alasan penghentian akhir dan data penggunaan.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`choices[].index` | Jenisinteger |
| Kolom`choices[].message.content` | Jenisstring\|null |
| Kolom`choices[].message.tool_calls` | Jenistool\_call\[\] |
| Kolom`choices[].message.reasoning_content` | Jenisstring |
| Kolom`choices[].message.reasoning_details` | Jenisobject\|array |
| Kolom`choices[].finish_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat)
**Ailoot · Anthropic Messages** `POST /v1/messages` `z-ai/glm-5.3-flash`
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages)
Z.ai /`z-ai/glm-5.3-flash`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
- `z-ai/glm-5.3-flash`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · Anthropic Messages** `POST /v1/messages`
Masukan
`text`
Keluaran
`text`
Konteks
1.048.576 tokens
Keluaran maksimum
32.768 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan z-ai/glm-5.3-flash | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan user, assistant | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_block[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`system` | Jenis`string\|content_block[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanWajib | Nilai & batasan Minimum: 1 Batas berlaku untuk: batas maksimum yang tepat untuk model/kartu yang dipilih | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop_sequences` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: alat disediakan | Bawaan— |
| Kolom`tools[].description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].input_schema` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.budget_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`output_config.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`metadata` | Jenis`object` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`cache_control` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content atau blok type=text`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext |
| Parameter`required` | Kontrakmodel, messages, max\_tokens |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Penulisan cache
US$0,00015 */ 1K*
Penulisan cache, 5 menit
US$0,00015 */ 1K tokens*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · Anthropic Messages
Contoh teksPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "z-ai/glm-5.3-flash", "max_tokens": 1024, "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
import anthropic
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = anthropic.Anthropic(base_url="https://api.ailoot.ai", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
msg = client.messages.create(
model="z-ai/glm-5.3-flash",
max_tokens=1024,
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(msg.to_dict(mode="json"))
```
```js
import Anthropic from "@anthropic-ai/sdk";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new Anthropic({ baseURL: "https://api.ailoot.ai", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const msg = await client.messages.create({
model: "z-ai/glm-5.3-flash",
max_tokens: 1024,
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(msg);
```
```python
import anthropic,os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=anthropic.Anthropic(base_url="https://api.ailoot.ai",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.messages.stream(model='z-ai/glm-5.3-flash',max_tokens=1024,messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_message()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · Anthropic Messages
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan semua blok konten, tanda tangan penalaran, dan ID penggunaan alat yang sebenarnya. Gabungkan semua delta blok SSE; blok teks pertama bukan keseluruhan keluaran.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`model` | Jenisstring |
| Kolom`content[]` | Jenistext\|thinking\|tool\_use\|other content block |
| Kolom`stop_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages)
**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `z-ai/glm-5.3-flash`
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat)
Z.ai /`z-ai/glm-5.3-flash`
ID model
- `glm-5.3-flash`
- `glm-4.5`
- `glm-4.5-air`
- `glm-4.6`
- `glm-4.7`
- `glm-5-turbo`
- `glm-flash`
- `glm-flash-latest`
- `z-ai/glm-5.3-flash`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot · OpenAI Chat** `POST /v1/chat/completions`
Masukan
`text`
Keluaran
`text`
Konteks
4.096 tokens
Keluaran maksimum
1.024 tokens
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan z-ai/glm-5.3-flash | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan Contoh: system, user, assistant, tool, function Kondisi: Peran ini direpresentasikan secara eksplisit oleh tipe kompatibilitas dalam kode sumber; kumpulan peran model yang tepat tetap khusus untuk tiap model. Bergantung pada model | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_part[]\|null` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_calls` | Jenis`tool_call[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: role=tool; gunakan ID yang benar-benar dikembalikan | Bawaan— |
| Kolom`messages[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].reasoning_content` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: Kirim kembali penalaran yang benar-benar dikembalikan jika model ini menggunakannya | Bawaan— |
| Kolom`messages[].reasoning_details` | Jenis`object\|array` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`max_completion_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`stream_options.include_usage` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop` | Jenis`string\|string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`function_tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].function.name` | Jenis`string` | PersyaratanWajib | Nilai & batasan Berlaku jika: alat fungsi disediakan | Bawaan— |
| Kolom`tools[].function.description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].function.parameters` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`response_format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning_effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Kolom kompatibilitas | Bawaan— |
| Kolom`functions` | Jenis`function[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`function_call` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext |
| Parameter`required` | Kontrakmodel, messages |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |
Siklus hidup: `exact retained published method`
Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.
### Paket
#### Tarif metode Ailoot
Masukan
US$0,00015 */ 1K*
Keluaran
US$0,0005 */ 1K*
Pembacaan cache
≈US$0,00003 */ 1K*
Penulisan cache
US$0,00015 */ 1K*
Penulisan cache, 5 menit
US$0,00015 */ 1K tokens*
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
#### Detail tarif referensi
Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.
Jadwal referensi model
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiOpenAI Chat · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tingkat 1 berdasarkan panjang permintaan | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
### Contoh permintaan
#### Ailoot · OpenAI Chat
Contoh teksPython SDKNode.js SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "z-ai/glm-5.3-flash", "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.chat.completions.create(
model="z-ai/glm-5.3-flash",
messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(resp.to_dict(mode="json"))
```
```js
import OpenAI from "openai";
if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.chat.completions.create({
model: "z-ai/glm-5.3-flash",
messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";
function saveResult(data, stem = "result") {
writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
console.log(JSON.stringify(data, null, 2));
const saveBlob = (encoded, suffix, label) => {
const raw = Buffer.from(encoded, "base64");
const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
const file = `${stem}-${label}.${ext}`;
writeFileSync(file, raw); console.log("Saved", file);
};
for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
for (const [i, item] of (data.output || []).entries()) {
console.log("Output", i, JSON.stringify(item));
if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
}
for (const [ci, candidate] of (data.candidates || []).entries()) {
for (const [pi, part] of (candidate.content?.parts || []).entries()) {
console.log("Candidate/part", ci, pi, JSON.stringify(part));
const blob = part.inlineData || part.inline_data;
if (blob?.data) {
const mime = blob.mimeType || blob.mime_type;
const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
}
}
}
}
saveResult(resp);
```
```python
from openai import OpenAI
import os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.chat.completions.stream(model='z-ai/glm-5.3-flash',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_completion()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot · OpenAI Chat
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan setiap alternatif jawaban beserta konten, panggilan alat, dan penalarannya. Dalam SSE, gabungkan delta menurut indeks alternatif jawaban/alat, lalu pertahankan alasan penghentian akhir dan data penggunaan.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`choices[].index` | Jenisinteger |
| Kolom`choices[].message.content` | Jenisstring\|null |
| Kolom`choices[].message.tool_calls` | Jenistool\_call\[\] |
| Kolom`choices[].message.reasoning_content` | Jenisstring |
| Kolom`choices[].message.reasoning_details` | Jenisobject\|array |
| Kolom`choices[].finish_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat)
**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `z-ai/glm-5.3-flash`
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat)
Z.ai /`z-ai/glm-5.3-flash`
ID model
- `glm-5.3-flash`
- `z-ai/glm-5.3-flash`
- `~z-ai/glm-flash-latest`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions`
Masukan
`text`
Keluaran
`text`
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan z-ai/glm-5.3-flash | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan Contoh: system, user, assistant, tool, function Kondisi: Peran ini direpresentasikan secara eksplisit oleh tipe kompatibilitas dalam kode sumber; kumpulan peran model yang tepat tetap khusus untuk tiap model. Bergantung pada model | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_part[]\|null` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_calls` | Jenis`tool_call[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: role=tool; gunakan ID yang benar-benar dikembalikan | Bawaan— |
| Kolom`messages[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].reasoning_content` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: Kirim kembali penalaran yang benar-benar dikembalikan jika model ini menggunakannya | Bawaan— |
| Kolom`messages[].reasoning_details` | Jenis`object\|array` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`max_completion_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`stream_options.include_usage` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop` | Jenis`string\|string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`function_tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan function Bergantung pada model | Bawaan— |
| Kolom`tools[].function.name` | Jenis`string` | PersyaratanWajib | Nilai & batasan Berlaku jika: alat fungsi disediakan | Bawaan— |
| Kolom`tools[].function.description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].function.parameters` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`response_format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning_effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Kolom kompatibilitas | Bawaan— |
| Kolom`functions` | Jenis`function[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`function_call` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`modalities` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan text | Bawaan— |
| Kolom`provider` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Kondisi: provider.options ditolak pada rute teks Ultra ini | Bawaan— |
| Kolom`cache_control.ttl` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Kondisi: 1h ditolak pada lokasi cache prompt yang digunakan | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`required` | Kontrakmodel, messages |
| Parameter`material_types` | Kontraktext |
| Parameter`messages` | Kontrakarray pesan dengan struktur role/content |
| Parameter`file_material` | Kontrakdokumen UTF-8 yang sebenarnya dimasukkan sebagai teks apa adanya; ID file tidak disimpulkan |
| Parameter`optional_controls` | Kontrakstream, temperature, top\_p, stop, max\_tokens, max\_completion\_tokens, reasoning, response\_format, tools, tool\_choice |
| Parameter`control_scope` | Kontrakkhusus model; alat fungsi pengguna berbeda dari alat yang dihosting |
| Parameter`output_modalities` | Kontraktext |
| Parameter`hosted_operations` | Kontrakfalse |
| Parameter`multimodal_input_binding` | Kontraknull |
Siklus hidup: `synchronous_or_streamed`
Kirim ID model yang tepat bersama messages.
Panjang konteks bukan batas keluaran.
File teks dapat menyediakan teks apa adanya; masukan gambar/audio/objek file memerlukan pengikatan yang tepat.
### Paket
Referensi tarif tidak menambah opsi permintaan. Parameter yang didukung tercantum pada metode yang dipilih.
Mode Fast
Tarif standar Saat mode fast dipilih
Mode Flex
Tarif standar Saat mode flex dipilih
Upaya penalaran maksimum
Tarif standar Saat upaya penalaran maksimum menggunakan penyesuaian default
Upaya penalaran · high
Tarif standar Saat upaya penalaran bernilai high
Upaya penalaran · low
Tarif standar Saat upaya penalaran bernilai low
Upaya penalaran · max
Tarif standar Saat upaya penalaran bernilai max
#### Tarif Ailoot
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiTarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiPanjang permintaan · tingkat 1 | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
### Contoh permintaan
#### Ailoot Ultra · OpenAI Chat
curlPython SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "z-ai/glm-5.3-flash", "messages": [{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}]}')
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
r=json.loads(Path("result.json").read_text())
for x in r.get("choices",[]):
if x.get("message",{}).get("content"): print(x["message"]["content"])
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
result=client.chat.completions.create(model='z-ai/glm-5.3-flash',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}])
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(result.to_dict(mode="json"))
```
```python
from openai import OpenAI
import os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.chat.completions.stream(model='z-ai/glm-5.3-flash',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_completion()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot Ultra · OpenAI Chat
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan setiap alternatif jawaban beserta konten, panggilan alat, dan penalarannya. Dalam SSE, gabungkan delta menurut indeks alternatif jawaban/alat, lalu pertahankan alasan penghentian akhir dan data penggunaan.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`choices[].index` | Jenisinteger |
| Kolom`choices[].message.content` | Jenisstring\|null |
| Kolom`choices[].message.tool_calls` | Jenistool\_call\[\] |
| Kolom`choices[].message.reasoning_content` | Jenisstring |
| Kolom`choices[].message.reasoning_details` | Jenisobject\|array |
| Kolom`choices[].finish_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat)
**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `z-ai/glm-5.3-flash`
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages)
Z.ai /`z-ai/glm-5.3-flash`
ID model
- `glm-5.3-flash`
- `z-ai/glm-5.3-flash`
- `~z-ai/glm-flash-latest`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks
Hasil
json · sse
### Tersedia di Ailoot · masukan & metode
**Ailoot Ultra · Anthropic Messages** `POST /v1/messages`
Masukan
`text`
Keluaran
`json`, `sse`
Format keluaran
JSON atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan z-ai/glm-5.3-flash | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan user, assistant | Bawaan— |
| Kolom`messages[].content` | Jenis`string` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
Kombinasi bahan masukan
**Teks** · Teks UTF-8
`string messages[].content`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`required` | Kontrakmodel, messages, max\_tokens |
| Parameter`optional_controls` | Kontrakstream |
| Parameter`material_types` | Kontraktext |
| Parameter`text_file_material` | KontrakBaca dokumen UTF-8 yang sebenarnya dan masukkan teksnya ke string masukan atau konten pesan yang ditunjukkan. |
Siklus hidup: `synchronous_or_streamed`
### Paket
Referensi tarif tidak menambah opsi permintaan. Parameter yang didukung tercantum pada metode yang dipilih.
Mode Fast
Tarif standar Saat mode fast dipilih
Mode Flex
Tarif standar Saat mode flex dipilih
Upaya penalaran maksimum
Tarif standar Saat upaya penalaran maksimum menggunakan penyesuaian default
Upaya penalaran · high
Tarif standar Saat upaya penalaran bernilai high
Upaya penalaran · low
Tarif standar Saat upaya penalaran bernilai low
Upaya penalaran · max
Tarif standar Saat upaya penalaran bernilai max
#### Tarif Ailoot
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiTarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiPanjang permintaan · tingkat 1 | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
### Contoh permintaan
#### Ailoot Ultra · Anthropic Messages
Isi permintaan JSON minimal yang lengkapcurl · gunakan dokumen UTF-8 AndaPython · simpan hasil secara lengkap
```json
{
"model": "z-ai/glm-5.3-flash",
"max_tokens": 128,
"messages": [
{
"role": "user",
"content": "Summarize the incident report."
}
],
"stream": false
}
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json, os
from pathlib import Path
source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
raise SystemExit('Choose a document containing text')
payload = {'model': 'z-ai/glm-5.3-flash', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
Path('request.json').write_text(json.dumps(payload, ensure_ascii=False), encoding='utf-8')
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
PY_RESULT
```
```python
import json, os
from pathlib import Path
source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
raise SystemExit('Choose a document containing text')
payload = {'model': 'z-ai/glm-5.3-flash', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
from urllib.request import Request, urlopen
from urllib.error import HTTPError
api_key = os.environ['AILOOT_API_KEY']
if not api_key.strip():
raise SystemExit('Set AILOOT_API_KEY before making a request')
headers = {'x-api-key': 'PLACEHOLDER_KEY', 'anthropic-version': '2023-06-01', 'Content-Type': 'application/json'}
headers['x-api-key'] = api_key
request = Request('https://api.ailoot.ai/v1/messages', data=json.dumps(payload, ensure_ascii=False).encode('utf-8'), headers=headers, method='POST')
try:
with urlopen(request, timeout=120) as response:
raw = response.read()
Path('response-headers.txt').write_text(str(response.headers), encoding='utf-8')
except HTTPError as error:
Path('result.json').write_bytes(error.read())
Path('response-headers.txt').write_text(str(error.headers), encoding='utf-8')
raise
Path('result.json').write_bytes(raw)
import json
from pathlib import Path
result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
```
### Terima dan simpan hasil
#### Ailoot Ultra · Anthropic Messages
JSON atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan semua blok konten, tanda tangan penalaran, dan ID penggunaan alat yang sebenarnya. Gabungkan semua delta blok SSE; blok teks pertama bukan keseluruhan keluaran.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`model` | Jenisstring |
| Kolom`content[]` | Jenistext\|thinking\|tool\_use\|other content block |
| Kolom`stop_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages)
**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `~z-ai/glm-flash-latest`
[`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat)
Z.ai /`~z-ai/glm-flash-latest`
ID model
- `glm-5.3-flash`
- `z-ai/glm-5.3-flash`
- `~z-ai/glm-flash-latest`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks
Hasil
Teks
### Tersedia di Ailoot · masukan & metode
**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions`
Masukan
`text`
Keluaran
`text`
Format keluaran
json atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan ~z-ai/glm-flash-latest | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan Contoh: system, user, assistant, tool, function Kondisi: Peran ini direpresentasikan secara eksplisit oleh tipe kompatibilitas dalam kode sumber; kumpulan peran model yang tepat tetap khusus untuk tiap model. Bergantung pada model | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_part[]\|null` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_calls` | Jenis`tool_call[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: role=tool; gunakan ID yang benar-benar dikembalikan | Bawaan— |
| Kolom`messages[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].reasoning_content` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: Kirim kembali penalaran yang benar-benar dikembalikan jika model ini menggunakannya | Bawaan— |
| Kolom`messages[].reasoning_details` | Jenis`object\|array` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`max_completion_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`stream_options.include_usage` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop` | Jenis`string\|string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`function_tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan function Bergantung pada model | Bawaan— |
| Kolom`tools[].function.name` | Jenis`string` | PersyaratanWajib | Nilai & batasan Berlaku jika: alat fungsi disediakan | Bawaan— |
| Kolom`tools[].function.description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].function.parameters` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`response_format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning_effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Kolom kompatibilitas | Bawaan— |
| Kolom`functions` | Jenis`function[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`function_call` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`modalities` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan text | Bawaan— |
| Kolom`provider` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Kondisi: provider.options ditolak pada rute teks Ultra ini | Bawaan— |
| Kolom`cache_control.ttl` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Kondisi: 1h ditolak pada lokasi cache prompt yang digunakan | Bawaan— |
Kombinasi bahan masukan
**Teks** · Teks UTF8
`messages[].content`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`required` | Kontrakmodel, messages |
| Parameter`material_types` | Kontraktext |
| Parameter`messages` | Kontrakarray pesan dengan struktur role/content |
| Parameter`file_material` | Kontrakdokumen UTF-8 yang sebenarnya dimasukkan sebagai teks apa adanya; ID file tidak disimpulkan |
| Parameter`optional_controls` | Kontrakstream, temperature, top\_p, stop, max\_tokens, max\_completion\_tokens, reasoning, response\_format, tools, tool\_choice |
| Parameter`control_scope` | Kontrakkhusus model; alat fungsi pengguna berbeda dari alat yang dihosting |
| Parameter`output_modalities` | Kontraktext |
| Parameter`hosted_operations` | Kontrakfalse |
| Parameter`multimodal_input_binding` | Kontraknull |
Siklus hidup: `synchronous_or_streamed`
Kirim ID model yang tepat bersama messages.
Panjang konteks bukan batas keluaran.
File teks dapat menyediakan teks apa adanya; masukan gambar/audio/objek file memerlukan pengikatan yang tepat.
### Paket
Referensi tarif tidak menambah opsi permintaan. Parameter yang didukung tercantum pada metode yang dipilih.
Mode Fast
Tarif standar Saat mode fast dipilih
Mode Flex
Tarif standar Saat mode flex dipilih
Upaya penalaran maksimum
Tarif standar Saat upaya penalaran maksimum menggunakan penyesuaian default
Upaya penalaran · high
Tarif standar Saat upaya penalaran bernilai high
Upaya penalaran · low
Tarif standar Saat upaya penalaran bernilai low
Upaya penalaran · max
Tarif standar Saat upaya penalaran bernilai max
#### Tarif Ailoot
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiTarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiPanjang permintaan · tingkat 1 | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
### Contoh permintaan
#### Ailoot Ultra · OpenAI Chat
curlPython SDKAliran Python
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "~z-ai/glm-flash-latest", "messages": [{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}]}')
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
-H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
r=json.loads(Path("result.json").read_text())
for x in r.get("choices",[]):
if x.get("message",{}).get("content"): print(x["message"]["content"])
PY_RESULT
```
```python
from openai import OpenAI
import os
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
result=client.chat.completions.create(model='~z-ai/glm-flash-latest',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}])
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
save_result(result.to_dict(mode="json"))
```
```python
from openai import OpenAI
import os
from pathlib import Path
if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path
def save_result(data, stem="result"):
# Keep every field, including usage, IDs, reasoning and tool requests.
Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(data, ensure_ascii=False, indent=2))
def save_blob(encoded, suffix, label):
raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
file = Path(stem + "-" + label + "." + ext)
file.write_bytes(raw)
print("Saved", file)
for index, block in enumerate(data.get("content") or []):
print("Content", index, json.dumps(block, ensure_ascii=False))
for choice in data.get("choices") or []:
print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
for index, item in enumerate(data.get("output") or []):
print("Output", index, json.dumps(item, ensure_ascii=False))
if item.get("type") == "image_generation_call" and item.get("result"):
save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
for ci, candidate in enumerate(data.get("candidates") or []):
for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
blob = part.get("inlineData") or part.get("inline_data")
if blob and blob.get("data"):
mime = blob.get("mimeType") or blob.get("mime_type")
suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))
with client.chat.completions.stream(model='~z-ai/glm-flash-latest',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
for event in stream:
payload=event.to_dict(mode="json")
log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
print(json.dumps(payload,ensure_ascii=False))
final=stream.get_final_completion()
save_result(final.to_dict(mode="json"),"stream-result")
```
### Terima dan simpan hasil
#### Ailoot Ultra · OpenAI Chat
json atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan setiap alternatif jawaban beserta konten, panggilan alat, dan penalarannya. Dalam SSE, gabungkan delta menurut indeks alternatif jawaban/alat, lalu pertahankan alasan penghentian akhir dan data penggunaan.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`choices[].index` | Jenisinteger |
| Kolom`choices[].message.content` | Jenisstring\|null |
| Kolom`choices[].message.tool_calls` | Jenistool\_call\[\] |
| Kolom`choices[].message.reasoning_content` | Jenisstring |
| Kolom`choices[].message.reasoning_details` | Jenisobject\|array |
| Kolom`choices[].finish_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=chat), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=chat), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=chat), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=chat), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=chat), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=chat), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=chat), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=chat), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=chat), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=chat)
**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `~z-ai/glm-flash-latest`
[`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages)
Z.ai /`~z-ai/glm-flash-latest`
ID model
- `glm-5.3-flash`
- `z-ai/glm-5.3-flash`
- `~z-ai/glm-flash-latest`
### Mulai
GLM 5.3 Flash adalah model multimodal Z.ai untuk pengembangan visual, analisis dokumen, dan pekerjaan agen dengan hasil berupa teks.
Masukan yang diterima
Teks
Hasil
json · sse
### Tersedia di Ailoot · masukan & metode
**Ailoot Ultra · Anthropic Messages** `POST /v1/messages`
Masukan
`text`
Keluaran
`json`, `sse`
Format keluaran
JSON atau SSE
| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan ~z-ai/glm-flash-latest | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan user, assistant | Bawaan— |
| Kolom`messages[].content` | Jenis`string` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
Kombinasi bahan masukan
**Teks** · Teks UTF-8
`string messages[].content`
Parameter metode dan siklus hidup
| Parameter | Kontrak |
| --- | --- |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`required` | Kontrakmodel, messages, max\_tokens |
| Parameter`optional_controls` | Kontrakstream |
| Parameter`material_types` | Kontraktext |
| Parameter`text_file_material` | KontrakBaca dokumen UTF-8 yang sebenarnya dan masukkan teksnya ke string masukan atau konten pesan yang ditunjukkan. |
Siklus hidup: `synchronous_or_streamed`
### Paket
Referensi tarif tidak menambah opsi permintaan. Parameter yang didukung tercantum pada metode yang dipilih.
Mode Fast
Tarif standar Saat mode fast dipilih
Mode Flex
Tarif standar Saat mode flex dipilih
Upaya penalaran maksimum
Tarif standar Saat upaya penalaran maksimum menggunakan penyesuaian default
Upaya penalaran · high
Tarif standar Saat upaya penalaran bernilai high
Upaya penalaran · low
Tarif standar Saat upaya penalaran bernilai low
Upaya penalaran · max
Tarif standar Saat upaya penalaran bernilai max
#### Tarif Ailoot
#### Harga menurut konfigurasi
Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.
| Konfigurasi | Jadwal tarif | Token konteks, lebih dari | Token konteks, hingga dan termasuk | Biaya |
| --- | --- | --- | --- | --- |
| KonfigurasiTarif dasar token | Jadwal tarifTarif dasar | Token konteks, lebih dari— | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiPanjang permintaan · tingkat 1 | Jadwal tarif— | Token konteks, lebih dari0 | Token konteks, hingga dan termasukTanpa batas atas | Biaya Masukan · Token masukan **$0.0003** / 1K token Keluaran · Token keluaran **$0.001** / 1K token Masukan · Pembacaan cache **$0.00006** / 1K token Masukan · Penulisan cache **—** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)
### Contoh permintaan
#### Ailoot Ultra · Anthropic Messages
Isi permintaan JSON minimal yang lengkapcurl · gunakan dokumen UTF-8 AndaPython · simpan hasil secara lengkap
```json
{
"model": "~z-ai/glm-flash-latest",
"max_tokens": 128,
"messages": [
{
"role": "user",
"content": "Summarize the incident report."
}
],
"stream": false
}
```
```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json, os
from pathlib import Path
source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
raise SystemExit('Choose a document containing text')
payload = {'model': '~z-ai/glm-flash-latest', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
Path('request.json').write_text(json.dumps(payload, ensure_ascii=False), encoding='utf-8')
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
-H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
--data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
PY_RESULT
```
```python
import json, os
from pathlib import Path
source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
raise SystemExit('Choose a document containing text')
payload = {'model': '~z-ai/glm-flash-latest', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
from urllib.request import Request, urlopen
from urllib.error import HTTPError
api_key = os.environ['AILOOT_API_KEY']
if not api_key.strip():
raise SystemExit('Set AILOOT_API_KEY before making a request')
headers = {'x-api-key': 'PLACEHOLDER_KEY', 'anthropic-version': '2023-06-01', 'Content-Type': 'application/json'}
headers['x-api-key'] = api_key
request = Request('https://api.ailoot.ai/v1/messages', data=json.dumps(payload, ensure_ascii=False).encode('utf-8'), headers=headers, method='POST')
try:
with urlopen(request, timeout=120) as response:
raw = response.read()
Path('response-headers.txt').write_text(str(response.headers), encoding='utf-8')
except HTTPError as error:
Path('result.json').write_bytes(error.read())
Path('response-headers.txt').write_text(str(error.headers), encoding='utf-8')
raise
Path('result.json').write_bytes(raw)
import json
from pathlib import Path
result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
```
### Terima dan simpan hasil
#### Ailoot Ultra · Anthropic Messages
JSON atau SSE
##### Simpan semua hasil yang selesai
Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.
Simpan semua blok konten, tanda tangan penalaran, dan ID penggunaan alat yang sebenarnya. Gabungkan semua delta blok SSE; blok teks pertama bukan keseluruhan keluaran.
##### Jika respons asli perlu diperiksa
Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.
Kolom respons
| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`model` | Jenisstring |
| Kolom`content[]` | Jenistext\|thinking\|tool\_use\|other content block |
| Kolom`stop_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |
Kesalahan dan langkah berikutnya
| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |
### Alias
#### Alias model
Ailoot [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages)
**Ailoot Ultra** [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages)
#### Alias jalur metode
`/chat/completions`
#### ID pemanggil terkait
[`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`z-ai/glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=z-ai%2Fglm-5.3-flash&fmt=messages), [`glm-4.5`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5&fmt=messages), [`glm-4.5-air`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.5-air&fmt=messages), [`glm-4.6`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.6&fmt=messages), [`glm-4.7`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-4.7&fmt=messages), [`glm-5-turbo`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5-turbo&fmt=messages), [`glm-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash&fmt=messages), [`glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-flash-latest&fmt=messages), [`~z-ai/glm-flash-latest`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=~z-ai%2Fglm-flash-latest&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Core&caller=glm-5.3-flash&fmt=messages), [`glm-5.3-flash`](https://ailoot.ai/models/id/#m=z-ai%2Fglm-5.3-flash&route=Ultra&caller=glm-5.3-flash&fmt=messages)
FAQ · z-ai/glm-5.3-flash
Input dan hasil apa yang tersedia?
`POST /v1/messages` · `glm-5.3-flash`: `text`, `image` → `text` `POST /v1/responses` · `glm-5.3-flash`: `text`, `image` → `text` `POST /v1/chat/completions` · `glm-5.3-flash`: `text`, `image` → `text` `POST /v1/chat/completions` · `glm-5.3-flash`: `text` → `text` `POST /v1/messages` · `glm-5.3-flash`: `text` → `json`, `sse` `POST /v1/messages` · `glm-4.5`: `text`, `image` → `text` `POST /v1/responses` · `glm-4.5`: `text`, `image` → `text` `POST /v1/chat/completions` · `glm-4.5`: `text`, `image` → `text` `POST /v1/messages` · `glm-4.5-air`: `text`, `image` → `text` `POST /v1/responses` · `glm-4.5-air`: `text`, `image` → `text` `POST /v1/chat/completions` · `glm-4.5-air`: `text`, `image` → `text` `POST /v1/messages` · `glm-4.6`: `text`, `image` → `text` `POST /v1/responses` · `glm-4.6`: `text`, `image` → `text` `POST /v1/chat/completions` · `glm-4.6`: `text`, `image` → `text` `POST /v1/messages` · `glm-4.7`: `text` → `text` `POST /v1/responses` · `glm-4.7`: `text` → `text` `POST /v1/chat/completions` · `glm-4.7`: `text` → `text` `POST /v1/messages` · `glm-5-turbo`: `text`, `image` → `text` `POST /v1/responses` · `glm-5-turbo`: `text`, `image` → `text` `POST /v1/chat/completions` · `glm-5-turbo`: `text`, `image` → `text` `POST /v1/messages` · `glm-flash`: `text`, `image` → `text` `POST /v1/responses` · `glm-flash`: `text`, `image` → `text` `POST /v1/chat/completions` · `glm-flash`: `text`, `image` → `text` `POST /v1/messages` · `glm-flash-latest`: `text`, `image` → `text` `POST /v1/responses` · `glm-flash-latest`: `text`, `image` → `text` `POST /v1/chat/completions` · `glm-flash-latest`: `text`, `image` → `text` `POST /v1/messages` · `z-ai/glm-5.3-flash`: `text` → `text` `POST /v1/chat/completions` · `z-ai/glm-5.3-flash`: `text` → `text` `POST /v1/chat/completions` · `z-ai/glm-5.3-flash`: `text` → `text` `POST /v1/messages` · `z-ai/glm-5.3-flash`: `text` → `json`, `sse` `POST /v1/chat/completions` · `~z-ai/glm-flash-latest`: `text` → `text` `POST /v1/messages` · `~z-ai/glm-flash-latest`: `text` → `json`, `sse`
Kolom apa yang digunakan permintaan?
`POST /v1/messages` · `glm-5.3-flash`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `glm-5.3-flash`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `glm-5.3-flash`: `model`, `messages`, `stream` `POST /v1/chat/completions` · `glm-5.3-flash`: `model`, `messages`, `stream` `POST /v1/messages` · `glm-5.3-flash`: `model`, `messages`, `max_tokens`, `stream` `POST /v1/messages` · `glm-4.5`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `glm-4.5`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `glm-4.5`: `model`, `messages`, `stream` `POST /v1/messages` · `glm-4.5-air`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `glm-4.5-air`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `glm-4.5-air`: `model`, `messages`, `stream` `POST /v1/messages` · `glm-4.6`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `glm-4.6`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `glm-4.6`: `model`, `messages`, `stream` `POST /v1/messages` · `glm-4.7`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `glm-4.7`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `glm-4.7`: `model`, `messages`, `stream` `POST /v1/messages` · `glm-5-turbo`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `glm-5-turbo`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `glm-5-turbo`: `model`, `messages`, `stream` `POST /v1/messages` · `glm-flash`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `glm-flash`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `glm-flash`: `model`, `messages`, `stream` `POST /v1/messages` · `glm-flash-latest`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `glm-flash-latest`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `glm-flash-latest`: `model`, `messages`, `stream` `POST /v1/messages` · `z-ai/glm-5.3-flash`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/chat/completions` · `z-ai/glm-5.3-flash`: `model`, `messages`, `stream` `POST /v1/chat/completions` · `z-ai/glm-5.3-flash`: `model`, `messages`, `stream`, `modalities`, `provider` `POST /v1/messages` · `z-ai/glm-5.3-flash`: `model`, `messages`, `max_tokens`, `stream` `POST /v1/chat/completions` · `~z-ai/glm-flash-latest`: `model`, `messages`, `stream`, `modalities`, `provider` `POST /v1/messages` · `~z-ai/glm-flash-latest`: `model`, `messages`, `max_tokens`, `stream`
Batasan apa yang berlaku?
`POST /v1/messages` · `glm-5.3-flash`: `ctx`: `1000000`; `max_out`: `131072`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `glm-5.3-flash`: `ctx`: `1000000`; `max_out`: `131072` `POST /v1/chat/completions` · `glm-5.3-flash`: `ctx`: `1000000`; `max_out`: `131072`; `messages.min_items`: `1` `POST /v1/chat/completions` · `glm-5.3-flash`: `messages.min_items`: `1` `POST /v1/messages` · `glm-4.5`: `ctx`: `1000000`; `max_out`: `131072`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `glm-4.5`: `ctx`: `1000000`; `max_out`: `131072` `POST /v1/chat/completions` · `glm-4.5`: `ctx`: `1000000`; `max_out`: `131072`; `messages.min_items`: `1` `POST /v1/messages` · `glm-4.5-air`: `ctx`: `1000000`; `max_out`: `131072`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `glm-4.5-air`: `ctx`: `1000000`; `max_out`: `131072` `POST /v1/chat/completions` · `glm-4.5-air`: `ctx`: `1000000`; `max_out`: `131072`; `messages.min_items`: `1` `POST /v1/messages` · `glm-4.6`: `ctx`: `1000000`; `max_out`: `131072`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `glm-4.6`: `ctx`: `1000000`; `max_out`: `131072` `POST /v1/chat/completions` · `glm-4.6`: `ctx`: `1000000`; `max_out`: `131072`; `messages.min_items`: `1` `POST /v1/messages` · `glm-4.7`: `ctx`: `1000000`; `max_out`: `131072`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `glm-4.7`: `ctx`: `1000000`; `max_out`: `131072` `POST /v1/chat/completions` · `glm-4.7`: `ctx`: `1000000`; `max_out`: `131072`; `messages.min_items`: `1` `POST /v1/messages` · `glm-5-turbo`: `ctx`: `1000000`; `max_out`: `131072`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `glm-5-turbo`: `ctx`: `1000000`; `max_out`: `131072` `POST /v1/chat/completions` · `glm-5-turbo`: `ctx`: `1000000`; `max_out`: `131072`; `messages.min_items`: `1` `POST /v1/messages` · `glm-flash`: `ctx`: `1000000`; `max_out`: `131072`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `glm-flash`: `ctx`: `1000000`; `max_out`: `131072` `POST /v1/chat/completions` · `glm-flash`: `ctx`: `1000000`; `max_out`: `131072`; `messages.min_items`: `1` `POST /v1/messages` · `glm-flash-latest`: `ctx`: `1000000`; `max_out`: `131072`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `glm-flash-latest`: `ctx`: `1000000`; `max_out`: `131072` `POST /v1/chat/completions` · `glm-flash-latest`: `ctx`: `1000000`; `max_out`: `131072`; `messages.min_items`: `1` `POST /v1/messages` · `z-ai/glm-5.3-flash`: `ctx`: `1048576`; `max_out`: `32768`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/chat/completions` · `z-ai/glm-5.3-flash`: `ctx`: `4096`; `max_out`: `1024`; `messages.min_items`: `1` `POST /v1/chat/completions` · `z-ai/glm-5.3-flash`: `messages.min_items`: `1` `POST /v1/chat/completions` · `~z-ai/glm-flash-latest`: `messages.min_items`: `1`
Hubungkan Ailoot ke Claude Code, OpenCode, Hermes, atau aplikasi Anda.
## Perusahaan dan portofolio proyeknya
Perusahaan dan portofolio proyeknya: jutaan pelanggan; penjualan miliaran setiap bulan.
## Beli token dengan diskon.
Diskon langganan untuk pekerjaan rutin. Kode promo — hingga 50% untuk pembelian token.
Langganan
Pilih paket dengan diskon untuk permintaan rutin Anda.
Kode promo hingga 50%
Masukkan kode saat membeli. Harga dihitung ulang sesuai promosi aktif.
Biaya dalam riwayat
Model, token, dan jumlah tagihan disimpan untuk setiap permintaan.
[Pilih langganan](https://ailoot.ai/docs/id/billing/subscriptions/) · [Lihat harga model](https://ailoot.ai/models/id/)
## Hubungkan API ke produk yang Anda jual.
SaaS, aplikasi, dan bot — sesuai penawaran dan perjanjian lisensi Ailoot. Untuk penjualan kembali, mintalah lisensi reseller.
Aplikasi komersial
Integrasikan pembuatan teks, gambar, video, dan suara dalam fitur berbayar layanan Anda.
Lisensi reseller
Kirim deskripsi proyek dan skema akses. Mintalah ketentuan penggunaan dan penjualan kembali secara tertulis.
Dokumen di situs
Penawaran, perjanjian lisensi, dan kebijakan pemrosesan data tersedia sebelum koneksi.
[Minta lisensi reseller](mailto:support@ailoot.ai) · [Penawaran dan perjanjian lisensi](https://ailoot.ai/legal/offer?lang=id)
## Ailoot · Perusahaan dan portofolio proyeknya
Ailoot bertumpu pada pengalaman operasional yang teruji, basis pelanggan yang besar, layanan yang stabil, dan pemantauan KPI berkelanjutan.
Perusahaan dan portofolio proyeknya: jutaan pelanggan; penjualan miliaran setiap bulan.
Ailoot memanfaatkan pengalaman operasional ini untuk akses API ke fitur AI dalam produk pelanggan, agen, aplikasi, dan otomatisasi.