Source: https://ailoot.ai/models/id/minimax-m2-7-highspeed/
Canonical: https://ailoot.ai/models/id/minimax-m2-7-highspeed/
Language: id

# MiniMax-M2.7-highspeed

[Markdown](https://ailoot.ai/models/id/minimax-m2-7-highspeed/index.md) · [JSON](https://ailoot.ai/models/id/minimax-m2-7-highspeed/facts.json)

## [MiniMax-M2.7-highspeed](https://ailoot.ai/models/id/minimax-m2-7-highspeed/)

M2.7 yang dipercepat untuk pengembangan, tugas kompleks dengan alat, dan pekerjaan dokumen.

- [**Ailoot · Anthropic Messages** `POST /v1/messages` `MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/minimax-m2-7-highspeed/#method-0)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/minimax-m2-7-highspeed/#method-1)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/minimax-m2-7-highspeed/#method-2)
- [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/minimax-m2-7-highspeed/#method-3)
- [**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/minimax-m2-7-highspeed/#method-4)
- [**Ailoot · Anthropic Messages** `POST /v1/messages` `minimax-highspeed`](https://ailoot.ai/models/id/minimax-m2-7-highspeed/#method-5)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `minimax-highspeed`](https://ailoot.ai/models/id/minimax-m2-7-highspeed/#method-6)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `minimax-highspeed`](https://ailoot.ai/models/id/minimax-m2-7-highspeed/#method-7)
- [**Ailoot · Anthropic Messages** `POST /v1/messages` `minimax-highspeed-latest`](https://ailoot.ai/models/id/minimax-m2-7-highspeed/#method-8)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `minimax-highspeed-latest`](https://ailoot.ai/models/id/minimax-m2-7-highspeed/#method-9)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `minimax-highspeed-latest`](https://ailoot.ai/models/id/minimax-m2-7-highspeed/#method-10)

Tentang model

Deskripsi ini mencakup kemampuan model. Masukan, keluaran, dan opsi yang tersedia di Ailoot tercantum di bawah untuk metode yang dipilih.

#### Iterasi yang dipercepat dengan tujuan penggunaan yang sama

MiniMax M2.7-highspeed adalah varian M2.7 yang dipercepat untuk pekerjaan kode, alat, dan materi profesional. Menurut MiniMax, varian ini mempertahankan kemampuan versi standar dan membentuk jawaban lebih cepat. Fokus utamanya adalah pemrograman multibahasa, refaktor yang tepat, dan pekerjaan rekayasa yang panjang.

Model dapat digunakan dalam pengembangan proyek berurutan: menganalisis log, mencari penyebab gangguan, menganalisis keamanan kode, dan menyelesaikan tugas pembelajaran mesin. Melalui alat, model memperoleh informasi tentang keadaan lingkungan dan menggunakannya untuk perubahan berikutnya. Rencana dapat disesuaikan berdasarkan hasil pelaksanaan.

#### Penyiapan dan penyuntingan dokumen

Highspeed mempertahankan penggunaan perkantoran M2.7: pekerjaan dengan Word, Excel, dan PowerPoint, perubahan kompleks, serta beberapa putaran klarifikasi. Model dapat mengarahkan alat penyuntingan dan memeriksa kesesuaian hasil dengan persyaratan yang ditentukan. Dalam skenario percakapan, penekanan M2.7 pada karakter dan interaksi emosional tetap dipertahankan.

#### Pekerjaan dengan alat dan konteks

M2.7 ditujukan untuk instruksi kompleks, keterampilan khusus, dan pemilihan alat secara dinamis. Kemampuan highspeed tersebut berguna dalam proses ketika beberapa tindakan harus tetap terhubung dengan tujuan bersama. Model menghasilkan teks serta panggilan alat, sedangkan pembacaan berkas, perhitungan, dan eksekusi perintah tetap dilakukan oleh lingkungan yang terhubung.

Konteks berjumlah **204 800 token**. Menurut MiniMax, acuan keluaran versi ini sekitar **100 token per detik**. Waktu kerja keseluruhan juga bergantung pada panjang jawaban dan tindakan lingkungan. Kartu ini menerima teks dan mengembalikan hasil teks.

Varian ini mewarisi skenario profesional M2.7: analisis pengamatan tentang operasi sistem, perbandingan log dan perubahan, pemeriksaan hipotesis melalui alat, serta penyiapan perbaikan. Dalam pekerjaan materi keuangan, model dapat berpartisipasi dalam pembacaan laporan, pembentukan asumsi, dan penyiapan perkiraan beserta dokumen dan presentasi berdasarkan templat.

Tugas praktis

### Tugas praktis

Contoh teknis dalam bahasa Inggris

```
Refactor duplicate validation

Refactor these duplicated validation rules into one Python function without changing behavior. create: reject name == "" and count < 1. update: reject name == "" and count < 1. Whitespace-only names are currently allowed and must remain allowed. Return the function, how both callers use it and regression cases for empty, whitespace and positive/zero counts.
```

#### Hasil yang diharapkan

```
A shared validation function, two integration snippets and regression cases preserving the stated behavior.
```

#### Periksa hasil

```
Check that the refactor rejects empty names and zero counts while continuing to allow whitespace-only names.
```

**Ailoot · Anthropic Messages** `POST /v1/messages` `MiniMax-M2.7-highspeed`

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=messages)

MiniMax /`MiniMax-M2.7-highspeed`

ID model

- `MiniMax-M2.7-highspeed`
- `minimax-highspeed`
- `minimax-highspeed-latest`

### Mulai

M2.7 yang dipercepat untuk pengembangan, tugas kompleks dengan alat, dan pekerjaan dokumen.

Masukan yang diterima

Teks

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · Anthropic Messages** `POST /v1/messages`

Masukan

`text`

Keluaran

`text`

Konteks

204.800 tokens

Keluaran maksimum

204.800 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan MiniMax-M2.7-highspeed | 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$0,0006 */ 1K*

Keluaran

US$0,0024 */ 1K*

Pembacaan cache

≈US$0,00006 */ 1K*

Penulisan cache

US$0,000375 */ 1K*

Penulisan cache, 5 menit

US$0,000375 */ 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/)

### 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": "MiniMax-M2.7-highspeed", "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="MiniMax-M2.7-highspeed",
    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: "MiniMax-M2.7-highspeed",
  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='MiniMax-M2.7-highspeed',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

<strong>Ailoot</strong> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=messages), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=messages), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=messages)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=messages)

#### Alias jalur metode

`/chat/completions`

#### ID pemanggil terkait

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=messages), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=messages), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=messages), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=messages)

**Ailoot · OpenAI Responses** `POST /v1/responses` `MiniMax-M2.7-highspeed`

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=responses)

MiniMax /`MiniMax-M2.7-highspeed`

ID model

- `MiniMax-M2.7-highspeed`
- `minimax-highspeed`
- `minimax-highspeed-latest`

### Mulai

M2.7 yang dipercepat untuk pengembangan, tugas kompleks dengan alat, dan pekerjaan dokumen.

Masukan yang diterima

Teks

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · OpenAI Responses** `POST /v1/responses`

Masukan

`text`

Keluaran

`text`

Konteks

204.800 tokens

Keluaran maksimum

204.800 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan MiniMax-M2.7-highspeed | 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$0,0006 */ 1K*

Keluaran

US$0,0024 */ 1K*

Pembacaan cache

≈US$0,00006 */ 1K*

Penulisan cache

US$0,000375 */ 1K*

Penulisan cache, 5 menit

US$0,000375 */ 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/)

### 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": "MiniMax-M2.7-highspeed", "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="MiniMax-M2.7-highspeed", 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: "MiniMax-M2.7-highspeed", 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="MiniMax-M2.7-highspeed", 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

<strong>Ailoot</strong> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=responses), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=responses), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=responses)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed)

#### Alias jalur metode

`/chat/completions`

#### ID pemanggil terkait

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=responses), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=responses), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=responses)

**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `MiniMax-M2.7-highspeed`

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=chat)

MiniMax /`MiniMax-M2.7-highspeed`

ID model

- `MiniMax-M2.7-highspeed`
- `minimax-highspeed`
- `minimax-highspeed-latest`

### Mulai

M2.7 yang dipercepat untuk pengembangan, tugas kompleks dengan alat, dan pekerjaan dokumen.

Masukan yang diterima

Teks

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · OpenAI Chat** `POST /v1/chat/completions`

Masukan

`text`

Keluaran

`text`

Konteks

204.800 tokens

Keluaran maksimum

204.800 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan MiniMax-M2.7-highspeed | 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$0,0006 */ 1K*

Keluaran

US$0,0024 */ 1K*

Pembacaan cache

≈US$0,00006 */ 1K*

Penulisan cache

US$0,000375 */ 1K*

Penulisan cache, 5 menit

US$0,000375 */ 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/)

### 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": "MiniMax-M2.7-highspeed", "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="MiniMax-M2.7-highspeed",
    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: "MiniMax-M2.7-highspeed",
  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='MiniMax-M2.7-highspeed',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

<strong>Ailoot</strong> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=chat), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=chat), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=chat)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=chat)

#### Alias jalur metode

`/chat/completions`

#### ID pemanggil terkait

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=chat), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=chat), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=chat), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=chat)

**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `MiniMax-M2.7-highspeed`

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=chat)

MiniMax /`MiniMax-M2.7-highspeed`

### Mulai

M2.7 yang dipercepat untuk pengembangan, tugas kompleks dengan alat, dan pekerjaan dokumen.

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 MiniMax-M2.7-highspeed | 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

Tidak ditentukan Saat mode fast dipilih

Mode Flex

Tidak ditentukan Saat mode flex dipilih

Upaya penalaran maksimum

Tidak ditentukan Saat upaya penalaran maksimum menggunakan penyesuaian default

#### Tarif Ailoot

#### Harga menurut konfigurasi

| Konfigurasi | Jadwal tarif | Biaya |
| --- | --- | --- |
| KonfigurasiTarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.0012** / 1K token Keluaran · Token keluaran **$0.0096** / 1K token Masukan · Pembacaan cache **$0** / 1K token Masukan · Penulisan cache **$0** / 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":"MiniMax-M2.7-highspeed","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="MiniMax-M2.7-highspeed", 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

<strong>Ailoot</strong> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=chat), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=chat), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=chat)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=chat)

#### Alias jalur metode

`/chat/completions`

#### ID pemanggil terkait

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=chat), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=chat), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=chat), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=chat)

**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `MiniMax-M2.7-highspeed`

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=messages)

MiniMax /`MiniMax-M2.7-highspeed`

### Mulai

M2.7 yang dipercepat untuk pengembangan, tugas kompleks dengan alat, dan pekerjaan dokumen.

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 MiniMax-M2.7-highspeed | 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

Tidak ditentukan Saat mode fast dipilih

Mode Flex

Tidak ditentukan Saat mode flex dipilih

Upaya penalaran maksimum

Tidak ditentukan Saat upaya penalaran maksimum menggunakan penyesuaian default

#### Tarif Ailoot

#### Harga menurut konfigurasi

| Konfigurasi | Jadwal tarif | Biaya |
| --- | --- | --- |
| KonfigurasiTarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.0012** / 1K token Keluaran · Token keluaran **$0.0096** / 1K token Masukan · Pembacaan cache **$0** / 1K token Masukan · Penulisan cache **$0** / 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": "MiniMax-M2.7-highspeed",
  "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': 'MiniMax-M2.7-highspeed', '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': 'MiniMax-M2.7-highspeed', '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

<strong>Ailoot</strong> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=messages), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=messages), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=messages)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=messages)

#### Alias jalur metode

`/chat/completions`

#### ID pemanggil terkait

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=messages), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=messages), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=messages), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=messages)

**Ailoot · Anthropic Messages** `POST /v1/messages` `minimax-highspeed`

[`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=messages)

MiniMax /`minimax-highspeed`

ID model

- `MiniMax-M2.7-highspeed`
- `minimax-highspeed`
- `minimax-highspeed-latest`

### Mulai

M2.7 yang dipercepat untuk pengembangan, tugas kompleks dengan alat, dan pekerjaan dokumen.

Masukan yang diterima

Teks

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · Anthropic Messages** `POST /v1/messages`

Masukan

`text`

Keluaran

`text`

Konteks

204.800 tokens

Keluaran maksimum

204.800 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan minimax-highspeed | 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$0,0006 */ 1K*

Keluaran

US$0,0024 */ 1K*

Pembacaan cache

≈US$0,00006 */ 1K*

Penulisan cache

US$0,000375 */ 1K*

Penulisan cache, 5 menit

US$0,000375 */ 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/)

### 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": "minimax-highspeed", "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="minimax-highspeed",
    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: "minimax-highspeed",
  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='minimax-highspeed',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

<strong>Ailoot</strong> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=messages), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=messages), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=messages)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=messages)

#### Alias jalur metode

`/chat/completions`

#### ID pemanggil terkait

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=messages), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=messages), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=messages), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=messages)

**Ailoot · OpenAI Responses** `POST /v1/responses` `minimax-highspeed`

[`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=responses)

MiniMax /`minimax-highspeed`

ID model

- `MiniMax-M2.7-highspeed`
- `minimax-highspeed`
- `minimax-highspeed-latest`

### Mulai

M2.7 yang dipercepat untuk pengembangan, tugas kompleks dengan alat, dan pekerjaan dokumen.

Masukan yang diterima

Teks

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · OpenAI Responses** `POST /v1/responses`

Masukan

`text`

Keluaran

`text`

Konteks

204.800 tokens

Keluaran maksimum

204.800 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan minimax-highspeed | 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$0,0006 */ 1K*

Keluaran

US$0,0024 */ 1K*

Pembacaan cache

≈US$0,00006 */ 1K*

Penulisan cache

US$0,000375 */ 1K*

Penulisan cache, 5 menit

US$0,000375 */ 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/)

### 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": "minimax-highspeed", "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="minimax-highspeed", 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: "minimax-highspeed", 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="minimax-highspeed", 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

<strong>Ailoot</strong> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=responses), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=responses), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=responses)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed)

#### Alias jalur metode

`/chat/completions`

#### ID pemanggil terkait

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=responses), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=responses), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=responses)

**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `minimax-highspeed`

[`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=chat)

MiniMax /`minimax-highspeed`

ID model

- `MiniMax-M2.7-highspeed`
- `minimax-highspeed`
- `minimax-highspeed-latest`

### Mulai

M2.7 yang dipercepat untuk pengembangan, tugas kompleks dengan alat, dan pekerjaan dokumen.

Masukan yang diterima

Teks

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · OpenAI Chat** `POST /v1/chat/completions`

Masukan

`text`

Keluaran

`text`

Konteks

204.800 tokens

Keluaran maksimum

204.800 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan minimax-highspeed | 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$0,0006 */ 1K*

Keluaran

US$0,0024 */ 1K*

Pembacaan cache

≈US$0,00006 */ 1K*

Penulisan cache

US$0,000375 */ 1K*

Penulisan cache, 5 menit

US$0,000375 */ 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/)

### 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": "minimax-highspeed", "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="minimax-highspeed",
    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: "minimax-highspeed",
  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='minimax-highspeed',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

<strong>Ailoot</strong> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=chat), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=chat), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=chat)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=chat)

#### Alias jalur metode

`/chat/completions`

#### ID pemanggil terkait

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=chat), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=chat), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=chat), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=chat)

**Ailoot · Anthropic Messages** `POST /v1/messages` `minimax-highspeed-latest`

[`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=messages)

MiniMax /`minimax-highspeed-latest`

ID model

- `MiniMax-M2.7-highspeed`
- `minimax-highspeed`
- `minimax-highspeed-latest`

### Mulai

M2.7 yang dipercepat untuk pengembangan, tugas kompleks dengan alat, dan pekerjaan dokumen.

Masukan yang diterima

Teks

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · Anthropic Messages** `POST /v1/messages`

Masukan

`text`

Keluaran

`text`

Konteks

204.800 tokens

Keluaran maksimum

204.800 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan minimax-highspeed-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`

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$0,0006 */ 1K*

Keluaran

US$0,0024 */ 1K*

Pembacaan cache

≈US$0,00006 */ 1K*

Penulisan cache

US$0,000375 */ 1K*

Penulisan cache, 5 menit

US$0,000375 */ 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/)

### 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": "minimax-highspeed-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
```

```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="minimax-highspeed-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: "minimax-highspeed-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='minimax-highspeed-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

<strong>Ailoot</strong> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=messages), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=messages), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=messages)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=messages)

#### Alias jalur metode

`/chat/completions`

#### ID pemanggil terkait

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=messages), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=messages), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=messages), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=messages)

**Ailoot · OpenAI Responses** `POST /v1/responses` `minimax-highspeed-latest`

[`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=responses)

MiniMax /`minimax-highspeed-latest`

ID model

- `MiniMax-M2.7-highspeed`
- `minimax-highspeed`
- `minimax-highspeed-latest`

### Mulai

M2.7 yang dipercepat untuk pengembangan, tugas kompleks dengan alat, dan pekerjaan dokumen.

Masukan yang diterima

Teks

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · OpenAI Responses** `POST /v1/responses`

Masukan

`text`

Keluaran

`text`

Konteks

204.800 tokens

Keluaran maksimum

204.800 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan minimax-highspeed-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`

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$0,0006 */ 1K*

Keluaran

US$0,0024 */ 1K*

Pembacaan cache

≈US$0,00006 */ 1K*

Penulisan cache

US$0,000375 */ 1K*

Penulisan cache, 5 menit

US$0,000375 */ 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/)

### 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": "minimax-highspeed-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
```

```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="minimax-highspeed-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: "minimax-highspeed-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="minimax-highspeed-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

<strong>Ailoot</strong> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=responses), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=responses), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=responses)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed)

#### Alias jalur metode

`/chat/completions`

#### ID pemanggil terkait

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=responses), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=responses), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=responses)

**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `minimax-highspeed-latest`

[`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=chat)

MiniMax /`minimax-highspeed-latest`

ID model

- `MiniMax-M2.7-highspeed`
- `minimax-highspeed`
- `minimax-highspeed-latest`

### Mulai

M2.7 yang dipercepat untuk pengembangan, tugas kompleks dengan alat, dan pekerjaan dokumen.

Masukan yang diterima

Teks

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · OpenAI Chat** `POST /v1/chat/completions`

Masukan

`text`

Keluaran

`text`

Konteks

204.800 tokens

Keluaran maksimum

204.800 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan minimax-highspeed-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`

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$0,0006 */ 1K*

Keluaran

US$0,0024 */ 1K*

Pembacaan cache

≈US$0,00006 */ 1K*

Penulisan cache

US$0,000375 */ 1K*

Penulisan cache, 5 menit

US$0,000375 */ 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/)

### 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": "minimax-highspeed-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
```

```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="minimax-highspeed-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: "minimax-highspeed-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='minimax-highspeed-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

<strong>Ailoot</strong> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=chat), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=chat), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=chat)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=chat)

#### Alias jalur metode

`/chat/completions`

#### ID pemanggil terkait

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=chat), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=chat), [`minimax-highspeed`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=chat), [`minimax-highspeed-latest`](https://ailoot.ai/models/id/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=chat)

FAQ · MiniMax-M2.7-highspeed

Input dan hasil apa yang tersedia?

`POST /v1/messages` · `MiniMax-M2.7-highspeed`: `text` → `text` `POST /v1/responses` · `MiniMax-M2.7-highspeed`: `text` → `text` `POST /v1/chat/completions` · `MiniMax-M2.7-highspeed`: `text` → `text` `POST /v1/chat/completions` · `MiniMax-M2.7-highspeed`: `text` → `text` `POST /v1/messages` · `MiniMax-M2.7-highspeed`: `text` → `json`, `sse` `POST /v1/messages` · `minimax-highspeed`: `text` → `text` `POST /v1/responses` · `minimax-highspeed`: `text` → `text` `POST /v1/chat/completions` · `minimax-highspeed`: `text` → `text` `POST /v1/messages` · `minimax-highspeed-latest`: `text` → `text` `POST /v1/responses` · `minimax-highspeed-latest`: `text` → `text` `POST /v1/chat/completions` · `minimax-highspeed-latest`: `text` → `text`

Kolom apa yang digunakan permintaan?

`POST /v1/messages` · `MiniMax-M2.7-highspeed`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `MiniMax-M2.7-highspeed`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `MiniMax-M2.7-highspeed`: `model`, `messages`, `stream` `POST /v1/chat/completions` · `MiniMax-M2.7-highspeed`: `model`, `messages`, `stream` `POST /v1/messages` · `MiniMax-M2.7-highspeed`: `model`, `messages`, `max_tokens`, `stream` `POST /v1/messages` · `minimax-highspeed`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `minimax-highspeed`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `minimax-highspeed`: `model`, `messages`, `stream` `POST /v1/messages` · `minimax-highspeed-latest`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `minimax-highspeed-latest`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `minimax-highspeed-latest`: `model`, `messages`, `stream`

Batasan apa yang berlaku?

`POST /v1/messages` · `MiniMax-M2.7-highspeed`: `ctx`: `204800`; `max_out`: `204800`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `MiniMax-M2.7-highspeed`: `ctx`: `204800`; `max_out`: `204800` `POST /v1/chat/completions` · `MiniMax-M2.7-highspeed`: `ctx`: `204800`; `max_out`: `204800`; `messages.min_items`: `1` `POST /v1/chat/completions` · `MiniMax-M2.7-highspeed`: `messages.min_items`: `1` `POST /v1/messages` · `minimax-highspeed`: `ctx`: `204800`; `max_out`: `204800`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `minimax-highspeed`: `ctx`: `204800`; `max_out`: `204800` `POST /v1/chat/completions` · `minimax-highspeed`: `ctx`: `204800`; `max_out`: `204800`; `messages.min_items`: `1` `POST /v1/messages` · `minimax-highspeed-latest`: `ctx`: `204800`; `max_out`: `204800`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `minimax-highspeed-latest`: `ctx`: `204800`; `max_out`: `204800` `POST /v1/chat/completions` · `minimax-highspeed-latest`: `ctx`: `204800`; `max_out`: `204800`; `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.