Co-authored-by: dev_agent <dev_agent@cubecraftlabs.com> Co-committed-by: dev_agent <dev_agent@cubecraftlabs.com>
This commit was merged in pull request #35.
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# OpenAI-compatible adapter fixtures
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These are the vendor response bodies the contract tests in `openai_test.go`
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replay. They are **not live captures**. Product AI is tested with fakes, and
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live vendor calls are opt-in and never use credentials, so no request was
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sent to a vendor to make them. Each fixture is adapted from the response
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shape in that vendor's public API documentation or open source, then
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sanitized:
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- IDs, timestamps, fingerprints and token counts are illustrative values in
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the documented format, not values from a real account.
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- Message content is replaced with MealQuest dinner text.
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- No real credential appears anywhere. `{{KEY}}` is a placeholder the tests
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replace with a fake key, to prove the adapter redacts a key echoed back in
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a vendor body.
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The tests check the adapter against these bodies with independent
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assertions on both the request sent (path, headers, `response_format`,
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messages) and the response decoded. The request side does not depend on the
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fixtures.
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Below, *not in the public example* marks fields or values that were added
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for a test case and do not come from the vendor's documented example.
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## OpenAI
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Sources: API reference, "The chat completion object" and "List models"
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(<https://platform.openai.com/docs/api-reference/chat/object>,
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<https://platform.openai.com/docs/api-reference/models/list>); the
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Structured Outputs guide, for `refusal`
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(<https://platform.openai.com/docs/guides/structured-outputs>); and the error
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codes guide (<https://platform.openai.com/docs/guides/error-codes>).
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| Fixture | Shape | Not in the public example |
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| --- | --- | --- |
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| `openai_chat_json_schema.json` | Chat completion object with `usage` details, `service_tier`, `system_fingerprint`. | The JSON reply content. |
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| `openai_chat_refusal.json` | Structured Outputs refusal: `content: null`, `refusal` set. | — |
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| `openai_models.json` | `{object: list, data: [model]}`. | — |
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| `openai_error_invalid_key.json` | Error object, `code: invalid_api_key`, message echoing the key. | The full key in the message; OpenAI masks most of it. Kept whole to test redaction. |
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| `openai_error_server.json` | Error object, `type: server_error`. | The `Authorization: Bearer {{KEY}}` text; added to test redaction. |
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## OpenRouter
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Sources: API reference, chat completion response and errors
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(<https://openrouter.ai/docs/api-reference/overview>,
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<https://openrouter.ai/docs/api-reference/errors>), and "List available
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models" (<https://openrouter.ai/docs/api-reference/list-available-models>).
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| Fixture | Shape | Not in the public example |
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| --- | --- | --- |
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| `openrouter_chat_json_object.json` | Chat completion with `provider`, `native_finish_reason` and `message.reasoning`. | The JSON reply content. |
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| `openrouter_chat_upstream_error.json` | An `error` object (`code`, `message`, `metadata.provider_name`, `metadata.raw`) in an HTTP 200 body, which OpenRouter documents for upstream failures. | `user_id`. |
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| `openrouter_error_rate_limited.json` | Error object, `code: 429`, rate-limit `metadata`. | The `Key {{KEY}}` text; added to test redaction. |
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| `openrouter_models.json` | `{data: [model]}` with `name`, `context_length`, `architecture`, `pricing`, `supported_parameters`. | The second model is a minimal entry, to test optional fields. |
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## Ollama
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Ollama's OpenAI compatibility page
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(<https://github.com/ollama/ollama/blob/main/docs/openai.md>) documents
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requests but shows no response bodies. The shapes come from its `openai`
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middleware source (<https://github.com/ollama/ollama/blob/main/openai/openai.go>):
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`chatcmpl-<n>` IDs, `system_fingerprint: fp_ollama`, `owned_by: library` on
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models, and errors as `{error: {message, type: api_error, param, code}}`.
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| Fixture | Shape | Not in the public example |
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| --- | --- | --- |
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| `ollama_chat_text.json` | Plain chat completion. | — |
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| `ollama_chat_prompt_only.json` | Chat completion. | The reply text: prose and stray braces around a fenced JSON object, to test prompt-only extraction. |
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| `ollama_chat_truncated.json` | Chat completion with `finish_reason: length`. | The cut-off JSON reply. |
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| `ollama_models.json` | `{object: list, data: [model]}`. | — |
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| `ollama_error_not_found.json` | Middleware error object for a missing model. | — |
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{
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"id": "chatcmpl-417",
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"object": "chat.completion",
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"created": 1741570322,
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"model": "llama3.2",
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"system_fingerprint": "fp_ollama",
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"choices": [
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{
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"index": 0,
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"message": {
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"role": "assistant",
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"content": "Sure! Here is a dinner {idea} for you:\n```json\n{\"dinners\": [{\"name\": \"Crock pot chili\", \"why\": \"A Quick dinner like your {Regular} stew.\"}]}\n```\nEnjoy {\"not\": \"this one\"}!"
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},
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"finish_reason": "stop"
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}
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],
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"usage": {"prompt_tokens": 512, "completion_tokens": 58, "total_tokens": 570}
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}
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{
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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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{
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"id": "chatcmpl-418",
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"object": "chat.completion",
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"created": 1741570330,
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"model": "llama3.2",
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"system_fingerprint": "fp_ollama",
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"choices": [
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{
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"index": 0,
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"message": {"role": "assistant", "content": "{\"dinners\": [{\"name\": \"Crock pot ch"},
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"finish_reason": "length"
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}
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],
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"usage": {"prompt_tokens": 512, "completion_tokens": 16, "total_tokens": 528}
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}
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{"error": {"message": "model \"llama9\" not found, try pulling it first", "type": "api_error", "param": null, "code": null}}
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{
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"object": "list",
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"data": [
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{"id": "llama3.2:latest", "object": "model", "created": 1741000000, "owned_by": "library"},
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{"id": "qwen2.5:7b", "object": "model", "created": 1740000000, "owned_by": "library"}
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]
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}
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{
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"id": "chatcmpl-B9MHDbslfkBeAs8l4bebGdFOJ6PeG",
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"object": "chat.completion",
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"created": 1741570283,
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"model": "gpt-4o-2024-08-06",
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"choices": [
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{
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"index": 0,
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"message": {
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"role": "assistant",
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"content": "{\"dinners\":[{\"name\":\"Sheet-pan gnocchi\",\"why\":\"Like your Regular tray bake, but quicker.\"}]}",
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"refusal": null,
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"annotations": []
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},
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"logprobs": null,
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"finish_reason": "stop"
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}
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],
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"usage": {
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"prompt_tokens": 1117,
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"completion_tokens": 46,
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"total_tokens": 1163,
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"prompt_tokens_details": {"cached_tokens": 0, "audio_tokens": 0},
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"completion_tokens_details": {"reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0}
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},
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"service_tier": "default",
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"system_fingerprint": "fp_fc9f1d7035"
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}
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{
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"id": "chatcmpl-B9MHDbslfkBeAs8l4bebGdFOJ6PeH",
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"object": "chat.completion",
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"created": 1741570290,
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"model": "gpt-4o-2024-08-06",
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"choices": [
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{
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"index": 0,
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"message": {"role": "assistant", "content": null, "refusal": "I'm sorry, I can't help with that request.", "annotations": []},
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"logprobs": null,
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"finish_reason": "stop"
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}
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],
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"usage": {"prompt_tokens": 210, "completion_tokens": 11, "total_tokens": 221},
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"system_fingerprint": "fp_fc9f1d7035"
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}
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{
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"error": {
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"message": "Incorrect API key provided: {{KEY}}. You can find your API key at https://platform.openai.com/account/api-keys.",
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"type": "invalid_request_error",
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"param": null,
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"code": "invalid_api_key"
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}
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}
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@@ -0,0 +1 @@
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{"error": {"message": "The server had an error while processing your request. Authorization: Bearer {{KEY}}", "type": "server_error", "param": null, "code": null}}
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{
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"object": "list",
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"data": [
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{"id": "gpt-4o-2024-08-06", "object": "model", "created": 1722814719, "owned_by": "system"},
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{"id": "gpt-4o-mini", "object": "model", "created": 1721172741, "owned_by": "system"}
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]
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}
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{
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"id": "gen-1741570300-xQmT9vWb4kR2nP7sL3aE",
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"provider": "OpenAI",
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"model": "openai/gpt-4o-mini",
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"object": "chat.completion",
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"created": 1741570300,
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"choices": [
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{
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"logprobs": null,
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"finish_reason": "stop",
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"native_finish_reason": "stop",
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"index": 0,
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"message": {
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"role": "assistant",
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"content": "{\n \"dinners\": [{\"name\": \"Chicken tinga tacos\", \"why\": \"Close to your taco-night Regular.\"}]\n}",
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"refusal": null,
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"reasoning": null
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}
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}
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],
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"usage": {"prompt_tokens": 842, "completion_tokens": 31, "total_tokens": 873}
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}
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{
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"id": "gen-1741570311-aB3dE5fG7hJ9kL1mN2pQ",
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"error": {"code": 502, "message": "Upstream error from provider", "metadata": {"provider_name": "Lambda", "raw": "upstream returned 502"}},
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"user_id": "user_2abcDEF"
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}
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{"error": {"code": 429, "message": "Rate limit exceeded: free-models-per-min. Key {{KEY}}", "metadata": {"headers": {"X-RateLimit-Limit": "20", "X-RateLimit-Remaining": "0"}}}}
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{
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"data": [
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{
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"id": "openai/gpt-4o-mini",
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"canonical_slug": "openai/gpt-4o-mini",
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"name": "OpenAI: GPT-4o-mini",
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"created": 1721260800,
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"description": "GPT-4o mini is OpenAI's newest model after GPT-4 Omni.",
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"context_length": 128000,
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"architecture": {"modality": "text+image->text", "input_modalities": ["text", "image"], "output_modalities": ["text"], "tokenizer": "GPT"},
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"pricing": {"prompt": "0.00000015", "completion": "0.0000006"},
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"supported_parameters": ["max_tokens", "temperature", "response_format", "structured_outputs"]
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},
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{
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"id": "anthropic/claude-sonnet-5",
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"name": "Anthropic: Claude Sonnet 5",
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"created": 1767225600,
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"context_length": 200000,
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"supported_parameters": ["max_tokens", "temperature"]
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}
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]
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}
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