Openlayer
ChatGPT pluginMonitor and govern AI
Openlayer helps teams inspect AI projects, data sources, traces, tests, evaluation results, and governance controls, and manage private workspace resources through ChatGPT.
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3 listing changes logged · latest Sep 22: Status, Availability, Sign-in. See what changed
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Example prompts
- “Find my most recently updated Openlayer project and summarize its latest test results.”
- “Investigate my latest failing evaluation and show the production examples and judge explanations that best explain the failure.”
- “Review the tests in my most recently updated project, identify an important coverage gap, and help me create a test for it.”
Skills
openlayer
Use when integrating, instrumenting, evaluating, or testing an app with Openlayer — the AI evaluation and observability platform. Covers BOTH modes: (1) MONITORING/live — add tracing to LLM or agent code with the openlayer Python or TypeScript SDK (@trace, trace_openai / trace_anthropic / trace_litellm / trace_bedrock and the LangChain callback), publish inference rows, enrich traces with user/session context, metadata, and guardrails; and (2) DEVELOPMENT/offline — author openlayer.json + tests.json, push commits with the Openlayer CLI or MCP, gate CI/CD, and run the fix-loop on failing rows. Also covers creating tests (the prebuilt catalog, thresholds), inference pipelines, and programmatic data access. Trigger when the user mentions Openlayer, OPENLAYER_API_KEY, OPENLAYER_INFERENCE_PIPELINE_ID, openlayer.json, tests.json, an inference pipeline, "openlayer push", openlayer-mcp, trace_openai / trace_anthropic, Openlayer guardrails, or LLM evals.
- Categories
- Sign-in
- On Install
- Availability
- Available
- Version
- 1.0.0
- Created
- September 1, 2026
- More info
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