Recap Relay dev caught that all audio endpoints route through Spark
Control but chat-completions didn't — clients had to know about both
SC AND the direct vLLM URL on Spark 1. Closes that last gap.
New endpoints:
POST /v1/chat/completions — OpenAI-shape, forwards to vLLM on Spark 1
POST /v1/completions — legacy OpenAI completions, same path
Implementation (image/app/llm_proxy.py):
- Dumb forwarder: request body passed through verbatim, response body
streamed back chunk-by-chunk. No transformation. vLLM already speaks
the same shape; adding any logic here would just create skew.
- Streaming: parses body for `stream: true` and uses httpx.AsyncClient
.stream() + FastAPI StreamingResponse if so. Non-streaming path is
a simple post-and-return.
- 30-minute timeout to accommodate large-context completions (default
httpx 5s would kill anything substantial).
- On upstream non-200 in streaming mode: emits one SSE `error` event
so the client's parser doesn't hang on an empty stream forever.
- On upstream connection error: HTTP 502 with "vllm unreachable" detail.
Now clients can use ONE host for everything:
POST https://spark-control/api/audio/diarize-chunk
POST https://spark-control/v1/audio/transcriptions
POST https://spark-control/v1/chat/completions
GET https://spark-control/api/endpoints (still works for clients that
prefer the direct URLs)
No parakeet container changes. No Reapply patches needed.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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