Responses API

[
  { "role": "user", "content": "What is the total on this invoice?" },
  {
    "role": "user",
    "content": [
      { "type": "input_text", "text": "Reply with the amount and currency only." },
      { "type": "input_image", "image_url": "https://example.com/invoice.png" }
    ]
  }
]

curl https://www.tutujin.com/v1/responses \
  -H "Authorization: Bearer $TUTUJIN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-6.1-sol",
    "instructions": "You are a finance assistant. Be brief and use two decimal places.",
    "input": "Travel cost 1280, meal allowance 80 a day for 3 days. What is the total claim?"
  }'

import os
from openai import OpenAI

client = OpenAI(base_url="https://www.tutujin.com/v1", api_key=os.environ["TUTUJIN_API_KEY"])

resp = client.responses.create(
    model="gpt-6.1-sol",
    instructions="You are a finance assistant. Be brief and use two decimal places.",
    input="Travel cost 1280, meal allowance 80 a day for 3 days. What is the total claim?",
)
print(resp.output_text)
print(resp.usage)

import OpenAI from 'openai'

const client = new OpenAI({ baseURL: 'https://www.tutujin.com/v1', apiKey: process.env.TUTUJIN_API_KEY })

const resp = await client.responses.create({
  model: 'gpt-6.1-sol',
  instructions: 'You are a finance assistant. Be brief and use two decimal places.',
  input: 'Travel cost 1280, meal allowance 80 a day for 3 days. What is the total claim?',
})
console.log(resp.output_text)
console.log(resp.usage)

{
  "id": "resp_...",
  "object": "response",
  "created_at": 1794000000,
  "status": "completed",
  "model": "gpt-6.1-sol",
  "output": [
    {
      "type": "message",
      "id": "msg_...",
      "status": "completed",
      "role": "assistant",
      "content": [
        { "type": "output_text", "text": "The total claim is 1520.00.", "annotations": [] }
      ]
    }
  ],
  "usage": {
    "input_tokens": 48,
    "input_tokens_details": { "cached_tokens": 0 },
    "output_tokens": 15,
    "output_tokens_details": { "reasoning_tokens": 0 },
    "total_tokens": 63
  }
}

event: response.created
data: {"type":"response.created","response":{"id":"resp_...","status":"in_progress"}}

event: response.output_text.delta
data: {"type":"response.output_text.delta","output_index":0,"content_index":0,"delta":"The total"}

event: response.output_text.done
data: {"type":"response.output_text.done","output_index":0,"content_index":0,"text":"The total claim is 1520.00."}

event: response.completed
data: {"type":"response.completed","response":{"id":"resp_...","status":"completed","usage":{"input_tokens":48,"output_tokens":15,"total_tokens":63}}}

stream = client.responses.create(
    model="gpt-6.1-sol",
    input="Write a 60-word product description",
    stream=True,
)
for event in stream:
    if event.type == "response.output_text.delta":
        print(event.delta, end="", flush=True)
    elif event.type == "response.completed":
        print("\n", event.response.usage)

const stream = await client.responses.create({
  model: 'gpt-6.1-sol',
  input: 'Write a 60-word product description',
  stream: true,
})
for await (const event of stream) {
  if (event.type === 'response.output_text.delta') process.stdout.write(event.delta)
  if (event.type === 'response.completed') console.log('\n', event.response.usage)
}