文件POST

# 1. 上传文档
curl https://api.tokentosea.com/v1/files \
  -H "Authorization: Bearer $TOKENTOSEA_API_KEY" \
  -H "Idempotency-Key: $(uuidgen)" \
  -F model=qwen-doc-turbo \
  -F purpose=file-extract \
  -F "file=@report.pdf;type=application/pdf"

# 2. 引用文档提问（引用文档时只支持流式）
curl -N https://api.tokentosea.com/v1/chat/completions \
  -H "Authorization: Bearer $TOKENTOSEA_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $(uuidgen)" \
  -d '{
    "model": "qwen-doc-turbo",
    "messages": [
      {"role": "system", "content": "fileid://file_tts_…"},
      {"role": "user", "content": "请概括文档的主要内容。"}
    ],
    "max_tokens": 1024,
    "enable_thinking": false,
    "stream": true
  }'

import os
import uuid

import requests
from openai import OpenAI

API_KEY = os.environ["TOKENTOSEA_API_KEY"]

with open("report.pdf", "rb") as document:
    uploaded = requests.post(
        "https://api.tokentosea.com/v1/files",
        headers={"Authorization": "Bearer " + API_KEY, "Idempotency-Key": str(uuid.uuid4())},
        data={"model": "qwen-doc-turbo", "purpose": "file-extract"},
        files={"file": ("report.pdf", document, "application/pdf")},
        timeout=120,
    )
uploaded.raise_for_status()
file_id = uploaded.json()["id"]

client = OpenAI(api_key=API_KEY, base_url="https://api.tokentosea.com/v1", max_retries=0)
stream = client.chat.completions.create(
    model="qwen-doc-turbo",
    messages=[
        {"role": "system", "content": "fileid://" + file_id},
        {"role": "user", "content": "请概括文档的主要内容。"},
    ],
    max_tokens=1024,
    stream=True,
    extra_body={"enable_thinking": False},
    extra_headers={"Idempotency-Key": str(uuid.uuid4())},
)
for chunk in stream:
    for choice in chunk.choices:
        print(choice.delta.content or "", end="", flush=True)

import OpenAI from 'openai';
import { randomUUID } from 'node:crypto';
import { readFile } from 'node:fs/promises';

const apiKey = process.env.TOKENTOSEA_API_KEY;

const form = new FormData();
form.set('model', 'qwen-doc-turbo');
form.set('purpose', 'file-extract');
form.set('file', new Blob([await readFile('report.pdf')], { type: 'application/pdf' }), 'report.pdf');
const uploaded = await fetch('https://api.tokentosea.com/v1/files', {
  method: 'POST',
  headers: { Authorization: `Bearer ${apiKey}`, 'Idempotency-Key': randomUUID() },
  body: form,
});
if (!uploaded.ok) throw new Error(await uploaded.text());
const { id: fileId } = await uploaded.json();

const client = new OpenAI({ apiKey, baseURL: 'https://api.tokentosea.com/v1', maxRetries: 0 });
const stream = await client.chat.completions.create(
  {
    model: 'qwen-doc-turbo',
    messages: [
      { role: 'system', content: `fileid://${fileId}` },
      { role: 'user', content: '请概括文档的主要内容。' },
    ],
    max_tokens: 1024,
    enable_thinking: false,
    stream: true,
  },
  { headers: { 'Idempotency-Key': randomUUID() } },
);
for await (const chunk of stream) for (const choice of chunk.choices) process.stdout.write(choice.delta?.content ?? '');