This release adds 1 notable feature for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Topics
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Summary
AI summaryAdded ClickHouse partition‑health observability metrics.
Changes in this release
| Type | Severity | Summary | CVE |
|---|---|---|---|
| Feature | Low |
Adds ClickHouse partition-health observability metrics. Adds ClickHouse partition-health observability metrics. Source: llm_adapter@2026-07-14 Confidence: high |
— |
| Feature | Low |
Introduces single‑run optimization overview in the frontend. Introduces single‑run optimization overview in the frontend. Source: llm_adapter@2026-07-14 Confidence: high |
— |
| Bugfix | Medium |
Tolerates extra OpenAI usage keys and excludes litellm 1.92.* versions. Tolerates extra OpenAI usage keys and excludes litellm 1.92.* versions. Source: llm_adapter@2026-07-14 Confidence: high |
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Full changelog
What's Changed
- [OPIK-6887] [BE] test: add partition-pruning and partition-stability staging gates by @andrescrz in https://github.com/comet-ml/opik/pull/7464
- [NA] [SDK] fix: tolerate extra openai usage keys and exclude litellm 1.92.* by @alexkuzmik in https://github.com/comet-ml/opik/pull/7465
- [OPIK-6904] Add ClickHouse partition-health observability metrics by @thiagohora in https://github.com/comet-ml/opik/pull/7458
- [OPIK-7043] [FE] Single-run optimization overview by @awkoy in https://github.com/comet-ml/opik/pull/7310
Full Changelog: https://github.com/comet-ml/opik/compare/2.1.26...2.1.27
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Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
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