https://api.rav.chat/v1 with a RavChat API key and you get the RavChat agent: each request runs a real agent turn that can consult sources, work in a project workspace, and produce files.
What’s different from OpenAI
RavChat answers come from an agent, not a bare model. Three practical consequences:Turns can take minutes
Each request runs a real agent turn. Use
stream: true — the stream starts immediately and stays alive with SSE keep-alives.Every response says where it ran
The
x_ravchat block (and x-ravchat-* headers) carry the project, session, and any files the agent produced. Missing context is auto-created and the ids are returned.Billing is in credits
usage.cost is the RavChat credits charged for the turn, from the same pools as your app plan.Start here
Authentication
API keys, project binding, and scopes.
Chat completions
Run an agent turn — requests, the response shape, and
x_ravchat.Streaming
The recommended mode for every integration.
API Reference
Interactive playground for every endpoint.
Works with your stack
The OpenAI JS/Python SDKs, LangChainChatOpenAI, LiteLLM (keep the /v1 suffix), and the Vercel AI SDK (createOpenAICompatible) all work unmodified. See Compatibility for the honest parameter table.