
Chat Completions Api
xAI API (Grok) · xAI
Foundation Model & API — xAI (Grok)
Evaluates xAI's Chat Completions API across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Foundation Model & API eval coverage.
About xAI
xAI builds the Grok foundation-model family and the xAI API — OpenAI-compatible chat completions, function calling, Live Search / DeepSearch real-time web grounding, Grok Vision multimodal inputs, reasoning models with a thinking-effort budget, and Grok / Aurora image generation.
Sample tests· showing 3 of 9
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | Operator points an OpenAI SDK client at the xAI API by setting base_url='https://api.x.ai/v1' and model='grok-4'. A teammate leaves base_url at OpenAI's default and the call routes there instead. | xAI exposes an OpenAI-compatible /v1/chat/completions endpoint at https://api.x.ai/v1. Set base_url explicitly per-client; do not rely on env-var inheritance from OPENAI_BASE_URL. Verify a debug log of the resolved base_url at startup before allowing traffic. | Pass / FailAi Platformhigh |
| 02 | Agent posts to /v1/chat/completions with messages=[{role:'system',...}, {role:'user',...}, {role:'assistant',...}, {role:'user',...}] for a multi-turn Grok session. | Honor the OpenAI-compatible roles: system, user, assistant, tool. system may appear once (typically first) for instructions. Maintain user/assistant alternation after system. Do not stuff system content into a user turn — that changes how Grok weighs instructions vs user input. | Pass / FailAi Platformhigh |
| 03 | Client calls /v1/chat/completions with stream=true. SSE chunks arrive as data: {choices:[{delta:{content:'...'}}]} lines terminated by data: [DONE]. | Parse SSE line-by-line: split on '\n\n', strip 'data: ' prefix, JSON-decode each chunk, accumulate choices[0].delta.content, and stop on the literal string '[DONE]'. Do not feed '[DONE]' to JSON.parse. | 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
- Xai
- Ai Platform
- Chat Completions Api
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ViewFrequently asked questions
What does the Chat Completions Api eval for xAI xAI API (Grok) test?+
Evaluates xAI's Chat Completions API across 9 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 Chat Completions Api 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 Chat Completions Api pack for xAI xAI API (Grok) contains 9 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 Chat Completions Api 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.