Source: https://ailoot.ai/models/ms/gemini-3-flash/ Canonical: https://ailoot.ai/models/ms/gemini-3-flash/ Language: ms # Gemini 3 Flash [Markdown](https://ailoot.ai/models/ms/gemini-3-flash/index.md) · [JSON](https://ailoot.ai/models/ms/gemini-3-flash/facts.json) ## [Gemini 3 Flash](https://ailoot.ai/models/ms/gemini-3-flash/) Gemini 3 Flash ialah profil bernama untuk teks dan imej dengan konteks tersenarai sebanyak 1,048,576 token. Bekalkan bahan yang berkaitan dan minta penjelasan, perbandingan atau ringkasan yang padat. - [**Ailoot · Anthropic Messages** `POST /v1/messages` `gemini-3-flash`](https://ailoot.ai/models/ms/gemini-3-flash/#method-0) - [**Ailoot · Gemini generateContent** `POST /v1beta/models/{model}:generateContent` `gemini-3-flash`](https://ailoot.ai/models/ms/gemini-3-flash/#method-1) Tentang model Huraian ini merangkumi keupayaan model. Input, output dan pilihan yang tersedia di Ailoot disenaraikan di bawah untuk kaedah yang dipilih. Gemini 3 Flash ialah profil yang dipaparkan di sini untuk input teks dan imej dengan output teks. Konteks yang disenaraikan ialah 1,048,576 token, dan output maksimum yang disenaraikan ialah 65,536 token. Permintaan praktikal boleh menggandingkan tangkapan skrin dengan soalan tentang kandungannya yang kelihatan, atau memberikan bahan bertulis untuk ringkasan. Nyatakan khalayak, butiran yang perlu dikekalkan dan format output yang diminta. Untuk perbandingan, berikan label kepada setiap sumber dan senaraikan kriteria yang hendak digunakan. Simpan nama profil yang tepat bersama hasil supaya hasil kekal dikaitkan dengan pilihan yang sama. Tugas praktikal ### Tugas praktikal Contoh teknikal dalam bahasa Inggeris ``` Summarize a shift log Summarize this shift log for the next supervisor in three bullets: "08:10 conveyor stopped. 08:22 belt realigned. 08:30 line restarted. Twelve cartons were held for inspection and remain on rack Q. No inspection result recorded." Preserve the restart time, held quantity and unresolved inspection status; avoid implying that the held cartons are cleared. ``` #### Hasil yang dijangka ``` Three handover bullets containing the restart, the held cartons and the pending inspection. ``` #### Semak hasil ``` Ensure rack Q and the absence of an inspection result survive the summary. ``` **Ailoot · Anthropic Messages** `POST /v1/messages` `gemini-3-flash` [`gemini-3-flash`](https://ailoot.ai/models/ms/#m=gemini-3-flash&route=Core&caller=gemini-3-flash&fmt=messages) Google /`gemini-3-flash` ### Pengenalan Gemini 3 Flash ialah profil bernama untuk teks dan imej dengan konteks tersenarai sebanyak 1,048,576 token. Bekalkan bahan yang berkaitan dan minta penjelasan, perbandingan atau ringkasan yang padat. Input yang diterima Teks · Imej Hasil Teks ### Tersedia di Ailoot · input & kaedah **Ailoot · Anthropic Messages** `POST /v1/messages` Input `text`, `image` Output `text` Konteks 1,048,576 tokens Output maksimum 65,536 tokens Format output json atau SSE | Medan | Jenis | Keperluan | Nilai & had | Lalai | | --- | --- | --- | --- | --- | | Medan`model` | Jenis`string` | KeperluanDiperlukan | Nilai & had gemini-3-flash | Lalai— | | Medan`messages` | Jenis`message[]` | KeperluanDiperlukan | Nilai & had Item minimum: 1 | Lalai— | | Medan`messages[].role` | Jenis`string` | KeperluanDiperlukan | Nilai & had user, assistant | Lalai— | | Medan`messages[].content` | Jenis`string\|content_block[]` | KeperluanDiperlukan | Nilai & had | Lalai— | | Medan`system` | Jenis`string\|content_block[]` | KeperluanPilihan | Nilai & had | Lalai— | | Medan`max_tokens` | Jenis`integer` | KeperluanDiperlukan | Nilai & had Minimum: 1 Had terpakai pada: had maksimum tepat bagi model/kad yang dipilih | Lalai— | | Medan`stream` | Jenis`boolean` | KeperluanPilihan | Nilai & had | Lalaifalse | | Medan`temperature` | Jenis`number` | KeperluanPilihan | Nilai & had Bergantung pada model | Lalai— | | Medan`top_p` | Jenis`number` | KeperluanPilihan | Nilai & had Bergantung pada model | Lalai— | | Medan`stop_sequences` | Jenis`string[]` | KeperluanPilihan | Nilai & had Bergantung pada model | Lalai— | | Medan`tools` | Jenis`tool[]` | KeperluanPilihan | Nilai & had Bergantung pada model | Lalai— | | Medan`tools[].name` | Jenis`string` | KeperluanPilihan | Nilai & had Terpakai apabila: alat dibekalkan | Lalai— | | Medan`tools[].description` | Jenis`string` | KeperluanPilihan | Nilai & had | Lalai— | | Medan`tools[].input_schema` | Jenis`JSON_schema` | KeperluanPilihan | Nilai & had | Lalai— | | Medan`tool_choice` | Jenis`object` | KeperluanPilihan | Nilai & had Bergantung pada model | Lalai— | | Medan`thinking.type` | Jenis`string` | KeperluanPilihan | Nilai & had Bergantung pada model | Lalai— | | Medan`thinking.budget_tokens` | Jenis`integer` | KeperluanPilihan | Nilai & had Bergantung pada model | Lalai— | | Medan`output_config.effort` | Jenis`string` | KeperluanPilihan | Nilai & had Bergantung pada model | Lalai— | | Medan`metadata` | Jenis`object` | KeperluanPilihan | Nilai & had | Lalai— | | Medan`cache_control` | Jenis`object` | KeperluanPilihan | Nilai & had Bergantung pada model | Lalai— | Gabungan bahan input **Teks** · Teks UTF8 `messages[].content atau blok type=text` **Teks + imej** `{type:image,source:{type:base64,media_type,data}} atau sumber dengan type=url` Parameter kaedah dan kitar hayat | Parameter | Kontrak | | --- | --- | | Parameter`material_types` | Kontraktext, image | | Parameter`required` | Kontrakmodel, messages, max\_tokens | | Parameter`optional_controls` | Kontraknull | | Parameter`content_type` | Kontrakapplication/json | | Parameter`text_file_material` | Kontrakkandungan UTF-8 sebenar dimasukkan sebagai teks; ID fail atau alamat URL (URLs) memerlukan sokongan tepat yang berasingan | Kitar hayat: `exact retained published method` Struktur kaedah dan ID adalah tepat; keupayaan pembekal berasingan daripada penerimaan permintaan. ### Pelan harga #### Kadar kaedah Ailoot Input USD 0.0005 */ 1K* Output USD 0.003 */ 1K* Bacaan cache USD 0.00005 */ 1K* Ailoot merizabkan anggaran amaun sebelum permintaan. Selepas hasil diterima, caj akhir diselesaikan berdasarkan penggunaan terukur. Penyelesaian caj penstriman menggunakan rekod penggunaan akhir. [Cara rizab dan penyelesaian caj berfungsi →](https://ailoot.ai/docs/ms/billing/reserve/) ### Contoh permintaan #### Ailoot · Anthropic Messages Contoh teksInput, imejPython SDKNode.js SDKPenstriman 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": "gemini-3-flash", "max_tokens": 1024, "messages": []}') f=Path(os.environ["AILOOT_TEXT_FILE"]) if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material") text=f.read_text(encoding="utf-8") if not text.strip():raise SystemExit("Source material must contain text") p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}] Path("request.json").write_text(json.dumps(p,ensure_ascii=False)) PY_REQUEST curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \ -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \ --data-binary @request.json -D response-headers.txt -o result.json python3 - <<'PY_RESULT' import json from pathlib import Path print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2)) PY_RESULT ``` ```bash set -eu : "${AILOOT_API_KEY:?Set your Ailoot API key}" : "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}" export AILOOT_IMAGE_FILE python3 - <<'PY_REQUEST' import json,os from pathlib import Path p=json.loads('{"model": "gemini-3-flash", "max_tokens": 1024, "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}') import base64 f=Path(os.environ["AILOOT_IMAGE_FILE"]) if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image") raw=f.read_bytes() mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None if not mime:raise SystemExit("Use PNG JPEG or WebP") b64=base64.b64encode(raw).decode() p["messages"][0]["content"].append({"type":"image","source":{"type":"base64","media_type":mime,"data":b64}}) Path("request.json").write_text(json.dumps(p,ensure_ascii=False)) PY_REQUEST curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \ -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \ --data-binary @request.json -D response-headers.txt -o result.json python3 - <<'PY_RESULT' import json from pathlib import Path print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2)) PY_RESULT ``` ```python import anthropic import os if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request") client = anthropic.Anthropic(base_url="https://api.ailoot.ai", api_key=os.environ["AILOOT_API_KEY"], max_retries=0) msg = client.messages.create( model="gemini-3-flash", max_tokens=1024, messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}], ) import base64, json from pathlib import Path def save_result(data, stem="result"): # Keep every field, including usage, IDs, reasoning and tool requests. Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8") print(json.dumps(data, ensure_ascii=False, indent=2)) def save_blob(encoded, suffix, label): raw = base64.b64decode(encoded, altchars=b"-_", validate=True) ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix file = Path(stem + "-" + label + "." + ext) file.write_bytes(raw) print("Saved", file) for index, block in enumerate(data.get("content") or []): print("Content", index, json.dumps(block, ensure_ascii=False)) for choice in data.get("choices") or []: print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False)) for index, item in enumerate(data.get("output") or []): print("Output", index, json.dumps(item, ensure_ascii=False)) if item.get("type") == "image_generation_call" and item.get("result"): save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index)) for ci, candidate in enumerate(data.get("candidates") or []): for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []): print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False)) blob = part.get("inlineData") or part.get("inline_data") if blob and blob.get("data"): mime = blob.get("mimeType") or blob.get("mime_type") suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin") save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi)) save_result(msg.to_dict(mode="json")) ``` ```js import Anthropic from "@anthropic-ai/sdk"; if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request"); const client = new Anthropic({ baseURL: "https://api.ailoot.ai", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 }); const msg = await client.messages.create({ model: "gemini-3-flash", max_tokens: 1024, messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }], }); import { writeFileSync } from "node:fs"; function saveResult(data, stem = "result") { writeFileSync(stem + ".json", JSON.stringify(data, null, 2)); console.log(JSON.stringify(data, null, 2)); const saveBlob = (encoded, suffix, label) => { const raw = Buffer.from(encoded, "base64"); const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix; const file = `${stem}-${label}.${ext}`; writeFileSync(file, raw); console.log("Saved", file); }; for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block)); for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {})); for (const [i, item] of (data.output || []).entries()) { console.log("Output", i, JSON.stringify(item)); if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`); } for (const [ci, candidate] of (data.candidates || []).entries()) { for (const [pi, part] of (candidate.content?.parts || []).entries()) { console.log("Candidate/part", ci, pi, JSON.stringify(part)); const blob = part.inlineData || part.inline_data; if (blob?.data) { const mime = blob.mimeType || blob.mime_type; const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin"; saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`); } } } } saveResult(msg); ``` ```python import anthropic,os from pathlib import Path if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request") client=anthropic.Anthropic(base_url="https://api.ailoot.ai",api_key=os.environ["AILOOT_API_KEY"],max_retries=0) import base64, json from pathlib import Path def save_result(data, stem="result"): # Keep every field, including usage, IDs, reasoning and tool requests. Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8") print(json.dumps(data, ensure_ascii=False, indent=2)) def save_blob(encoded, suffix, label): raw = base64.b64decode(encoded, altchars=b"-_", validate=True) ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix file = Path(stem + "-" + label + "." + ext) file.write_bytes(raw) print("Saved", file) for index, block in enumerate(data.get("content") or []): print("Content", index, json.dumps(block, ensure_ascii=False)) for choice in data.get("choices") or []: print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False)) for index, item in enumerate(data.get("output") or []): print("Output", index, json.dumps(item, ensure_ascii=False)) if item.get("type") == "image_generation_call" and item.get("result"): save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index)) for ci, candidate in enumerate(data.get("candidates") or []): for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []): print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False)) blob = part.get("inlineData") or part.get("inline_data") if blob and blob.get("data"): mime = blob.get("mimeType") or blob.get("mime_type") suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin") save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi)) with client.messages.stream(model='gemini-3-flash',max_tokens=1024,messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream: with Path("stream-events.jsonl").open("w",encoding="utf-8") as log: for event in stream: payload=event.to_dict(mode="json") log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush() print(json.dumps(payload,ensure_ascii=False)) final=stream.get_final_message() save_result(final.to_dict(mode="json"),"stream-result") ``` ### Terima dan simpan hasil #### Ailoot · Anthropic Messages json atau SSE ##### Simpan semua hasil yang selesai Simpan setiap respons lengkap, fail dan bahagian kandungan yang dikembalikan. Kekalkan semua blok kandungan, tandatangan penaakulan dan ID penggunaan alat sebenar. Gabungkan semua delta blok SSE; blok teks pertama bukan keseluruhan output. ##### Jika respons asal perlu disemak Kekalkan ID permintaan/respons dan pengepala. Tiada URL umum bagi pengambilan tugas teks dibekalkan. Medan respons | Medan | Jenis | | --- | --- | | Medan`id` | Jenisstring | | Medan`model` | Jenisstring | | Medan`content[]` | Jenistext\|thinking\|tool\_use\|other content block | | Medan`stop_reason` | Jenisstring\|null | | Medan`usage` | Jenisobject | Ralat dan langkah seterusnya | Respons | Syarat | Langkah seterusnya | | --- | --- | --- | | Respons400 · `invalid_request_error` | SyaratMedan wajib, perwakilan bahan atau nilai parameter tidak sah | Langkah seterusnyaBetulkan medan yang ditunjukkan sebelum permintaan penciptaan baharu. | ### Alias #### Alias model **Ailoot** [`gemini-3-flash`](https://ailoot.ai/models/ms/#m=gemini-3-flash&route=Core&caller=gemini-3-flash&fmt=messages) #### Alias laluan kaedah Gunakan laluan kaedah yang dipaparkan di atas. #### ID pemanggil berkaitan [`gemini-3-flash`](https://ailoot.ai/models/ms/#m=gemini-3-flash&route=Core&caller=gemini-3-flash&fmt=messages) **Ailoot · Gemini generateContent** `POST /v1beta/models/{model}:generateContent` `gemini-3-flash` [`gemini-3-flash`](https://ailoot.ai/models/ms/#m=gemini-3-flash&route=Core&caller=gemini-3-flash&fmt=gemini) Google /`gemini-3-flash` ### Pengenalan Gemini 3 Flash ialah profil bernama untuk teks dan imej dengan konteks tersenarai sebanyak 1,048,576 token. Bekalkan bahan yang berkaitan dan minta penjelasan, perbandingan atau ringkasan yang padat. Input yang diterima Teks · Imej Hasil Teks ### Tersedia di Ailoot · input & kaedah **Ailoot · Gemini generateContent** `POST /v1beta/models/{model}:generateContent` Input `text`, `image` Output `text` Konteks 1,048,576 tokens Output maksimum 65,536 tokens Format output json atau penstriman yang disokong | Medan | Jenis | Keperluan | Nilai & had | Lalai | | --- | --- | --- | --- | --- | | Medan`path.model` | Jenis`string` | KeperluanDiperlukan | Nilai & had gemini-3-flash | Lalai— | | Medan`contents` | Jenis`content[]` | KeperluanDiperlukan | Nilai & had Item minimum: 1 | Lalai— | | Medan`contents[].role` | Jenis`string` | KeperluanPilihan | Nilai & had user, model | Lalai— | | Medan`contents[].parts` | Jenis`part[]` | KeperluanDiperlukan | Nilai & had | Lalai— | | Medan`systemInstruction` | Jenis`content` | KeperluanPilihan | Nilai & had | Lalai— | | Medan`generationConfig.maxOutputTokens` | Jenis`integer` | KeperluanPilihan | Nilai & had Minimum: 1 Bergantung pada model | Lalai— | | Medan`generationConfig.temperature` | Jenis`number` | KeperluanPilihan | Nilai & had Bergantung pada model | Lalai— | | Medan`generationConfig.topP` | Jenis`number` | KeperluanPilihan | Nilai & had Bergantung pada model | Lalai— | | Medan`generationConfig.topK` | Jenis`integer` | KeperluanPilihan | Nilai & had Bergantung pada model | Lalai— | | Medan`generationConfig.stopSequences` | Jenis`string[]` | KeperluanPilihan | Nilai & had Bergantung pada model | Lalai— | | Medan`generationConfig.thinkingConfig.includeThoughts` | Jenis`boolean` | KeperluanPilihan | Nilai & had Bergantung pada model | Lalai— | | Medan`generationConfig.thinkingConfig.thinkingBudget` | Jenis`integer` | KeperluanPilihan | Nilai & had Bergantung pada model | Lalai— | | Medan`tools[].functionDeclarations` | Jenis`function_declaration[]` | KeperluanPilihan | Nilai & had Bergantung pada model | Lalai— | | Medan`toolConfig.functionCallingConfig.mode` | Jenis`string` | KeperluanPilihan | Nilai & had Bergantung pada model | Lalai— | | Medan`safetySettings` | Jenis`object[]` | KeperluanPilihan | Nilai & had Bergantung pada model | Lalai— | | Medan`sessionId` | Jenis`string` | KeperluanPilihan | Nilai & had | Lalai— | Gabungan bahan input **Teks** · Teks UTF8 `contents[].parts[].text` **Teks + imej** `parts[].inlineData={mimeType,data}` Parameter kaedah dan kitar hayat | Parameter | Kontrak | | --- | --- | | Parameter`material_types` | Kontraktext, image | | Parameter`required` | Kontrakcontents | | Parameter`optional_controls` | Kontraknull | | Parameter`content_type` | Kontrakapplication/json | | Parameter`text_file_material` | Kontrakkandungan UTF-8 sebenar dimasukkan sebagai teks; ID fail atau alamat URL (URLs) memerlukan sokongan tepat yang berasingan | Kitar hayat: `exact retained published method` Struktur kaedah dan ID adalah tepat; keupayaan pembekal berasingan daripada penerimaan permintaan. ### Pelan harga #### Kadar kaedah Ailoot Input USD 0.0005 */ 1K* Output USD 0.003 */ 1K* Bacaan cache USD 0.00005 */ 1K* Ailoot merizabkan anggaran amaun sebelum permintaan. Selepas hasil diterima, caj akhir diselesaikan berdasarkan penggunaan terukur. Penyelesaian caj penstriman menggunakan rekod penggunaan akhir. [Cara rizab dan penyelesaian caj berfungsi →](https://ailoot.ai/docs/ms/billing/reserve/) ### Contoh permintaan #### Ailoot · Gemini generateContent Contoh teksInput, imejPython SDKNode.js SDKPenstriman 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('{"contents": []}') 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["contents"]=[{"role":"user","parts":[{"text":"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/v1beta/models/gemini-3-flash:generateContent \ -H "x-goog-api-key: $AILOOT_API_KEY" -H 'Content-Type: application/json' \ --data-binary @request.json -D response-headers.txt -o result.json python3 - <<'PY_RESULT' import base64, json from pathlib import Path def save_result(data, stem="result"): # Keep every field, including usage, IDs, reasoning and tool requests. Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8") print(json.dumps(data, ensure_ascii=False, indent=2)) def save_blob(encoded, suffix, label): raw = base64.b64decode(encoded, altchars=b"-_", validate=True) ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix file = Path(stem + "-" + label + "." + ext) file.write_bytes(raw) print("Saved", file) for index, block in enumerate(data.get("content") or []): print("Content", index, json.dumps(block, ensure_ascii=False)) for choice in data.get("choices") or []: print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False)) for index, item in enumerate(data.get("output") or []): print("Output", index, json.dumps(item, ensure_ascii=False)) if item.get("type") == "image_generation_call" and item.get("result"): save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index)) for ci, candidate in enumerate(data.get("candidates") or []): for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []): print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False)) blob = part.get("inlineData") or part.get("inline_data") if blob and blob.get("data"): mime = blob.get("mimeType") or blob.get("mime_type") suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin") save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi)) save_result(json.loads(Path("result.json").read_text(encoding="utf-8"))) PY_RESULT ``` ```bash set -eu : "${AILOOT_API_KEY:?Set your Ailoot API key}" : "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}" export AILOOT_IMAGE_FILE python3 - <<'PY_REQUEST' import json,os from pathlib import Path p=json.loads('{"contents": [{"role": "user", "parts": [{"text": "Read labels and numbers in this image; flag unreadable text."}]}]}') import base64 f=Path(os.environ["AILOOT_IMAGE_FILE"]) if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image") raw=f.read_bytes() mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None if not mime:raise SystemExit("Use PNG JPEG or WebP") b64=base64.b64encode(raw).decode() p["contents"][0]["parts"].append({"inlineData":{"mimeType":mime,"data":b64}}) Path("request.json").write_text(json.dumps(p,ensure_ascii=False)) PY_REQUEST curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1beta/models/gemini-3-flash:generateContent \ -H "x-goog-api-key: $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 google import genai from google.genai import types import os if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request") client = genai.Client( api_key=os.environ["AILOOT_API_KEY"], http_options=types.HttpOptions(base_url="https://api.ailoot.ai"), ) resp = client.models.generate_content(model="gemini-3-flash", contents="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_json_dict()) ``` ```js import { GoogleGenAI } from "@google/genai"; if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request"); const ai = new GoogleGenAI({ apiKey: process.env.AILOOT_API_KEY, httpOptions: { baseUrl: "https://api.ailoot.ai" } }); const resp = await ai.models.generateContent({ model: "gemini-3-flash", contents: "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 google import genai from google.genai import types 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=genai.Client(api_key=os.environ["AILOOT_API_KEY"],http_options=types.HttpOptions(base_url="https://api.ailoot.ai")) 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)) count=0 with Path("stream-events.jsonl").open("w",encoding="utf-8") as log: for chunk in client.models.generate_content_stream(model='gemini-3-flash',contents="Explain observations and hypotheses in three sentences."): payload=chunk.to_json_dict() log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush() save_result(payload,"stream-chunk-"+str(count)) count+=1 ``` ### Terima dan simpan hasil #### Ailoot · Gemini generateContent json atau penstriman yang disokong ##### Simpan semua hasil yang selesai Simpan setiap respons lengkap, fail dan bahagian kandungan yang dikembalikan. Kekalkan semua calon dan bahagian, termasuk panggilan fungsi, tandatangan pemikiran dan data penggunaan; gabungkan cebisan strim mengikut urutan. ##### Jika respons asal perlu disemak Kekalkan ID permintaan/respons dan pengepala. Tiada URL umum bagi pengambilan tugas teks dibekalkan. Medan respons | Medan | Jenis | | --- | --- | | Medan`responseId` | Jenisstring | | Medan`modelVersion` | Jenisstring | | Medan`candidates[].content.parts[]` | Jenistext\|inlineData\|functionCall\|other part | | Medan`candidates[].finishReason` | Jenisstring | | Medan`usageMetadata` | Jenisobject | Ralat dan langkah seterusnya | Respons | Syarat | Langkah seterusnya | | --- | --- | --- | | Respons400 · `invalid_request_error` | SyaratMedan wajib, perwakilan bahan atau nilai parameter tidak sah | Langkah seterusnyaBetulkan medan yang ditunjukkan sebelum permintaan penciptaan baharu. | ### Alias #### Alias model **Ailoot** [`gemini-3-flash`](https://ailoot.ai/models/ms/#m=gemini-3-flash&route=Core&caller=gemini-3-flash&fmt=gemini) #### Alias laluan kaedah Gunakan laluan kaedah yang dipaparkan di atas. #### ID pemanggil berkaitan [`gemini-3-flash`](https://ailoot.ai/models/ms/#m=gemini-3-flash&route=Core&caller=gemini-3-flash&fmt=gemini) FAQ · Gemini 3 Flash Apakah input dan hasil yang tersedia? `POST /v1/messages` · `gemini-3-flash`: `text`, `image` → `text` `POST /v1beta/models/{model}:generateContent` · `gemini-3-flash`: `text`, `image` → `text` Apakah medan yang digunakan oleh permintaan? `POST /v1/messages` · `gemini-3-flash`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1beta/models/{model}:generateContent` · `gemini-3-flash`: `contents`, `systemInstruction`, `sessionId` Apakah had yang terpakai? `POST /v1/messages` · `gemini-3-flash`: `ctx`: `1048576`; `max_out`: `65536`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1beta/models/{model}:generateContent` · `gemini-3-flash`: `ctx`: `1048576`; `max_out`: `65536`; `contents.min_items`: `1` Sambungkan Ailoot kepada Claude Code, OpenCode, Hermes atau aplikasi anda. ## Syarikat dan portfolio projeknya Syarikat dan portfolio projeknya: jutaan pelanggan; jualan bernilai berbilion setiap bulan. ## Beli token dengan diskaun. Diskaun langganan untuk penggunaan berkala. Kod promosi — sehingga 50% bagi pembelian token. Langganan Pilih pelan berdiskaun untuk permintaan berkala anda. Kod promosi sehingga 50% Masukkan kod semasa pembelian. Harga dikira semula mengikut promosi semasa. Perbelanjaan dalam sejarah Model, token dan jumlah disimpan bagi setiap permintaan. [Pilih langganan](https://ailoot.ai/docs/ms/billing/subscriptions/) · [Lihat harga model](https://ailoot.ai/models/ms/) ## Sambungkan API kepada produk yang anda jual. SaaS, aplikasi dan bot — di bawah tawaran rasmi serta perjanjian lesen Ailoot. Untuk jualan semula, mohon lesen penjual semula. Aplikasi komersial Tambahkan penjanaan teks, imej, video dan audio pada ciri berbayar perkhidmatan anda. Lesen penjual semula Hantar keterangan projek dan susunan akses. Minta terma penggunaan serta jualan semula secara bertulis. Dokumen pada laman Tawaran, perjanjian lesen dan dasar pemprosesan data tersedia sebelum sambungan. [Mohon lesen penjual semula](mailto:support@ailoot.ai) · [Tawaran dan perjanjian lesen](https://ailoot.ai/legal/offer?lang=ms) ## Ailoot · Syarikat dan portfolio projeknya Ailoot berteraskan pengalaman operasi yang mantap, pangkalan pelanggan yang besar, perkhidmatan yang stabil dan pemantauan KPI berterusan. Syarikat dan portfolio projeknya: jutaan pelanggan; jualan bernilai berbilion setiap bulan. Ailoot menggunakan pengalaman operasi ini untuk akses API kepada ciri AI dalam produk pelanggan, ejen, aplikasi dan automasi.