
Responses And Chat Completions
OpenAI API · OpenAI
Foundation Model & API — OpenAI (GPT)
OpenAI evals — Responses & Chat Completions (relift v3 InfraRed)
About OpenAI
OpenAI builds the GPT model family and the OpenAI API — Responses and Chat Completions, function calling, Structured Outputs, embeddings, fine-tuning, the Batch API, moderation, the Realtime API, and the Agents SDK — used by developers to build AI products at scale.
Sample tests· showing 3 of 10
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | Agent streams /v1/chat/completions with max_tokens=256 for a long answer; the final SSE chunk has finish_reason='length'. | Detect finish_reason='length' on the terminal chunk and treat the answer as truncated — either raise a partial-completion to the caller or continue by appending the assistant text and re-requesting. Never present truncated output as complete. | Pass / FailAi Platformcritical |
| 02 | Responses API multi-turn flow stores previous_response_id from turn 1 and references it on turn 2; the referenced response has since been deleted/expired. | Handle the missing-reference error by rebuilding the conversation from the integrator's own message store rather than retrying verbatim; do not assume server-side state is durable. | Pass / FailAi Platformhigh |
| 03 | Agent sets n=4 on chat completions to get candidate diversity but reports cost as a single completion. | Account for n completions: output tokens are billed per candidate. Surface all n choices or pick one deterministically, and attribute cost as sum across choices. | Pass / FailAi Platformmedium |
How this eval is graded
Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.
Rubric criteria
- Openai
- Ai Platform
- Responses And Chat Completions
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