Responses And Chat Completions
OpenAI API · OpenAI
Foundation Model & API — OpenAI (GPT)
Evaluates OpenAI's Responses & Chat Completions across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Foundation Model & API eval coverage.
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 | Operator places hard instructions in a user-role message and a 'you are helpful' string in the system role, expecting the user-role instructions to be authoritative. | Put authoritative instructions in the system (or developer) role per the role hierarchy; user-role content is treated as lower-priority input. Verify the instruction precedence matches the documented role order. | Pass / FailAi Platformhigh |
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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Works with
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ViewFrequently asked questions
What does the Responses And Chat Completions eval for OpenAI OpenAI API test?+
Evaluates OpenAI's Responses & Chat Completions across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Foundation Model & API eval coverage.
How is the Responses And Chat Completions eval scored?+
The judge rubric: Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.
How many test cases does this eval pack include?+
The Responses And Chat Completions pack for OpenAI OpenAI API contains 10 test cases. 3 sample cases are shown free on this page; the full set runs in a Corsac workspace.
How do I run this eval?+
Sign up for Corsac, connect your model or agent endpoint, and run the Responses And Chat Completions pack as-is or after customizing thresholds. Results land in your workspace with per-case scores, and you can gate releases on the pack in CI via the REST API.
Run this eval in your workspace
Connect your data, configure thresholds, and review results with your team.