Auto Router

Your prompt will be processed by a meta-model and routed to one of dozens of models (see below), optimizing for the best possible output. To see which model was used, visit [Activity](/activity), or read the `model` attribute of the response. Your response will be priced at the same rate as the routed model. Learn more, including how to customize the models for routing, in our [docs](/docs/guides/routing/routers/auto-router). Requests will be routed to the following models: - [openai/gpt-5.2](/openai/gpt-5.2) - [openai/gpt-5.2-pro](/openai/gpt-5.2-pro) - [openai/gpt-5.1](/openai/gpt-5.1) - [openai/gpt-5](/openai/gpt-5) - [openai/gpt-5-mini](/openai/gpt-5-mini) - [openai/gpt-5-nano](/openai/gpt-5-nano) - [openai/gpt-4.1](/openai/gpt-4.1) - [openai/gpt-4.1-mini](/openai/gpt-4.1-mini) - [openai/gpt-4.1-nano](/openai/gpt-4.1-nano) - [openai/gpt-oss-120b](/openai/gpt-oss-120b) - [anthropic/claude-opus-4.5](/anthropic/claude-opus-4.5) - [anthropic/claude-sonnet-4.5](/anthropic/claude-sonnet-4.5) - [anthropic/claude-haiku-4.5](/anthropic/claude-haiku-4.5) - [google/gemini-3-pro-preview](/google/gemini-3-pro-preview) - [google/gemini-2.5-pro](/google/gemini-2.5-pro) - [google/gemini-2.5-flash](/google/gemini-2.5-flash) - [mistralai/mistral-large](/mistralai/mistral-large) - [mistralai/mistral-large-2407](/mistralai/mistral-large-2407) - [mistralai/mistral-large-2411](/mistralai/mistral-large-2411) - [mistralai/mistral-medium-3.1](/mistralai/mistral-medium-3.1) - [mistralai/mistral-nemo](/mistralai/mistral-nemo) - [mistralai/mistral-7b-instruct](/mistralai/mistral-7b-instruct) - [mistralai/mixtral-8x7b-instruct](/mistralai/mixtral-8x7b-instruct) - [mistralai/mixtral-8x22b-instruct](/mistralai/mixtral-8x22b-instruct) - [mistralai/codestral-2508](/mistralai/codestral-2508) - [x-ai/grok-4](/x-ai/grok-4) - [x-ai/grok-3](/x-ai/grok-3) - [x-ai/grok-3-mini](/x-ai/grok-3-mini) - [deepseek/deepseek-r1](/deepseek/deepseek-r1) - [meta-llama/llama-3.3-70b-instruct](/meta-llama/llama-3.3-70b-instruct) - [meta-llama/llama-3.1-405b-instruct](/meta-llama/llama-3.1-405b-instruct) - [meta-llama/llama-3.1-70b-instruct](/meta-llama/llama-3.1-70b-instruct) - [meta-llama/llama-3.1-8b-instruct](/meta-llama/llama-3.1-8b-instruct) - [meta-llama/llama-3-70b-instruct](/meta-llama/llama-3-70b-instruct) - [meta-llama/llama-3-8b-instruct](/meta-llama/llama-3-8b-instruct) - [qwen/qwen3-235b-a22b](/qwen/qwen3-235b-a22b) - [qwen/qwen3-32b](/qwen/qwen3-32b) - [qwen/qwen3-14b](/qwen/qwen3-14b) - [cohere/command-r-plus-08-2024](/cohere/command-r-plus-08-2024) - [cohere/command-r-08-2024](/cohere/command-r-08-2024) - [moonshotai/kimi-k2-thinking](/moonshotai/kimi-k2-thinking) - [perplexity/sonar](/perplexity/sonar)

API 사용법

from openai import OpenAI

client = OpenAI(
    api_key="your-dream-api-key",
    base_url="https://api.invoicedream.co.kr/v1"
)

response = client.chat.completions.create(
    model="openrouter/auto",
    messages=[
        {"role": "user", "content": "안녕하세요"}
    ]
)

print(response.choices[0].message.content)

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'your-dream-api-key',
  baseURL: 'https://api.invoicedream.co.kr/v1'
});

const response = await client.chat.completions.create({
  model: 'openrouter/auto',
  messages: [{ role: 'user', content: '안녕하세요' }]
});

console.log(response.choices[0].message.content);

curl https://api.invoicedream.co.kr/v1/chat/completions \
  -H "Authorization: Bearer your-dream-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openrouter/auto",
    "messages": [{"role": "user", "content": "안녕하세요"}]
  }'