Skip to main content
The POST /v1/chat/completions endpoint is 100% compatible with the official OpenAI SDK for Python and Node.js. Just change base_url and api_key.

​
Which models can I use?

17 chat models across 7 providers. All namespaced as <provider>/<model>: 
anthropic/claude-opus-4-8
anthropic/claude-sonnet-4-6
anthropic/claude-haiku-4-5
google/gemini-2.5-pro
google/gemini-2.5-flash
openai/gpt-5
openai/gpt-4.1
openai/gpt-4.1-mini
openai/o4-mini
deepseek/deepseek-chat
deepseek/deepseek-reasoner
moonshot/kimi-k2
moonshot/moonshot-v1-128k
xai/grok-4
xai/grok-3
xai/grok-3-mini
See Chat models for context length, pricing, and capabilities of each one.

​
Features

FeatureSupported
system, user, assistant messages✅
SSE streaming (stream: true)✅
temperature, top_p, max_tokens, stop✅
Multi-turn (conversation)✅
Function calling / tool useComing soon
Vision (image input)Coming soon
JSON modeComing soon

​
Routing

Behind each model id, we call the provider directly with their official SDK:
ProviderSDK we use
Anthropic@anthropic-ai/sdk
Google@google/genai
OpenAIopenai
DeepSeekopenai (OpenAI-compatible)
Moonshotopenai (OpenAI-compatible)
xAIopenai (OpenAI-compatible)
This means the same errors and behaviors from the original provider reach you as-is. If OpenAI has a rate limit, you’ll see it as provider_unavailable with the original message.

​
Next steps

POST /v1/chat/completions

Full endpoint reference with all parameters.