internal/ai/llm/openai implements Provider over plain net/http against
POST {base}/chat/completions and GET {base}/models, with Bearer auth and
optional extra headers. Structured output uses response_format
json_schema (strict), json_object, or prompt-only with first-JSON-object
extraction, per the configured mode. Usage tokens, model and
finish_reason are parsed.
Errors map 401/403 to ErrAuth, 429 to ErrRateLimited with Retry-After
(seconds or HTTP-date), 408 and transport timeouts to ErrTimeout, and
other non-2xx statuses (and OpenRouter error bodies in a 2xx) to
ErrProvider with a key-redacted excerpt.
Contract tests replay OpenAI, OpenRouter and Ollama /v1 payloads from
httptest servers and assert the key and Authorization value never
appear in an error.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
12 lines
362 B
JSON
12 lines
362 B
JSON
{
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"id": "chatcmpl-419",
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"object": "chat.completion",
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"created": 1741570340,
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"model": "llama3.2",
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"system_fingerprint": "fp_ollama",
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"choices": [
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{"index": 0, "message": {"role": "assistant", "content": "Try a lemon orzo bake tonight."}, "finish_reason": "stop"}
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],
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"usage": {"prompt_tokens": 40, "completion_tokens": 9, "total_tokens": 49}
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}
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