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/v1/chat/completions answered ordinary client payloads with a bare HTTP 422 (a plain-text body no OpenAI client can parse), so Open WebUI showed neither an answer nor an error — it just hung. Parse the body leniently instead: content as string/null/content-part array, tools: null, stream: null, a string reasoning_effort, max_completion_tokens, messages[].name and tool_call_id, and a missing Content-Type. Unreadable bodies now come back as an OpenAI error envelope with 400. Responses are strict OpenAI JSON: no "tool_calls": null, finish_reason mapped to the spec's closed set (cortiq serve's max_tokens -> length), never an empty id, and `model` echoes the id the client requested — the model that actually answered stays in cortiq.selected_model and X-Cortiq-Selected-Model. Streaming is re-normalised rather than forwarded verbatim: a leading role delta, message-shaped chunks converted to delta, one terminal finish_reason, always a trailing data: [DONE], and an SSE error event when the upstream dies mid-flight. Adds X-Accel-Buffering: no so a fronting proxy cannot buffer the stream into a hang. GET /v1/models now lists managed [[cmf.servers]] models with their live running/healthy state, so clients can pin a local .cmf directly. Also strips client bookkeeping keys (chat_id, session_id, metadata, features, ...) from the upstream call and drops the leftover [to_wire] debug prints.