OpenAI Chat Completions — with server-side model injection

Wire-compatible with the OpenAI /v1/chat/completions endpoint. The caller supplies body.model as an Appstrate model preset id (e.g. m_ or a SYSTEM_PROVIDER_KEYS preset); the platform resolves the preset against org_models + model_provider_credentials, substitutes the real upstream model id, injects the upstream API key, and forwards the request. Streaming responses pass through unchanged; usage is tapped in parallel for accounting.

Authentication: bearer only — API key with the llm-proxy:call scope (headless) or an OIDC-issued JWT (interactive CLI device-flow, dashboard access token). Cookie sessions are rejected.

POST/api/llm-proxy/openai-completions/v1/chat/completions

Authorization

AuthorizationBearer <token>

API key authentication. Use Authorization: Bearer apst_... header. The org is resolved from the key — no X-Org-Id header needed. A key is apst_ + 30 base62 characters + a 6-character base62 CRC32 of those 30, so a malformed key is refused without a lookup.

In: header

Header Parameters

X-Run-Id?string

Optional run id (run_…) to attribute the call to. Populated by appstrate run once the platform mints a remote run record; rolls up into the run's cost/token totals.

Request Body

application/json

OpenAI Chat Completions payload, with model replaced by an Appstrate model preset id. All other fields (messages, tools, stream, response_format, …) pass through untouched.

curl -X POST "https://your-instance/api/llm-proxy/openai-completions/v1/chat/completions" \  -H "Content-Type: application/json" \  -d '{    "model": "string",    "messages": [      {}    ]  }'
{}
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{}