provider-openai

OpenAI Chat Completions provider worker behind llm-router. Implements the provider protocol from tech-specs/2026-06-agentic/llm-router.md: provider::openai::stream (SSE chunks → AssistantMessageEvent frames into a router-owned channel) and provider::openai::refresh_models (live GET /v1/models filtered to chat/reasoning families ∪ curated capability snapshot → router::models::reconcile).

Behavior

• Registration: self-declares via router::provider::register with backoff until acked, and re-declares on the router::ready trigger type. The declaration ships a static curated models slice (no cold-catalog hole) and credential_env_var: OPENAI_API_KEY.
• Identity binding: the router returns a registration_token on first registration; it is persisted in iii-state (scope provider-openai, key registration_token) and presented on every later register/resolve/reconcile. If that state is lost the router rejects re-registration — the operator must clear the binding on the router side.
• Credentials: resolved per request via router::provider::resolve (config slice → OPENAI_API_KEY env on the router → none). Both api_key and oauth credential shapes are sent as Authorization: Bearer; v1 performs no OAuth refresh.
• Liveness: ping at least every 30s of upstream silence; a failed channel write (caller gone / router::abort) drops the SSE receiver and aborts the in-flight HTTP request.
• Errors: 401/403 → auth_expired, 429 → rate_limited (except insufficient_quota, a billing wall → permanent), context_length_exceeded → context_overflow, 5xx/network → transient, other 4xx → permanent. No transport retries here — the router owns retry policy.
• Structured output: native. A response_format with a schema maps to strict json_schema mode; without one, json_object mode (the caller must mention "JSON" in the prompt per OpenAI's rules). Every curated record declares supports_structured_output: true.
• Reasoning: thinking_level maps to reasoning_effort per model family (src/reasoning.rs — the ladders encode real 400s: o1 and chat-tuned variants take no param, pro is high-only, xhigh is gpt-5.2+). No reasoning text is streamed back on Chat Completions; completion_tokens_details.reasoning_tokens lands on usage.reasoning.
• Prompt caching: automatic on OpenAI's side — no request markers. prompt_tokens_details.cached_tokens lands on usage.cache_read.
• Curated snapshot: src/curated.rs carries windows / output ceilings / capability flags / pricing (USD per MTok). Update it against models.dev when OpenAI ships new models — discovery only supplies bare ids.

Tests

cargo test                                            # unit (pure modules + TCP stubs)
III_ENGINE_BIN=$(which iii) cargo test --test integration -- --test-threads=1

The integration suite spawns a real engine, the real router (path dep), this provider, and a local stub upstream — no external API calls anywhere.

Running

The binary takes the standard worker CLI flags: --url (engine WebSocket, default ws://127.0.0.1:49134, falls back to the III_WS_URL environment variable), --manifest (print the registry manifest and exit), and --config (accepted but ignored with a warning — provider config comes from the llm-router configuration entry).