This release adds 1 notable feature for engineering teams evaluating rollout.
Published 25d
Error & Performance Tracking
✓ No known CVEs patched
✓ No known CVEs patched in this version
Topics
evaluation
hacktoberfest2025
langchain
llama-index
llm
llm-evaluation
+5 more
llm-observability
llmops
openai
playground
prompt-engineering
Summary
AI summaryPersist online‑evaluation runs as hidden monitoring traces.
Full changelog
What's Changed
- [OPIK-7153] dev-runner: run local ai-cost-backend + route ai-spend to it by @LifeXplorer in https://github.com/comet-ml/opik/pull/7284
- [NA] [BE] Update model prices file by @CometActions in https://github.com/comet-ml/opik/pull/7281
- [NA] [SDK] [DOCS] Update automatically OpenAPI spec and Fern code by @CometActions in https://github.com/comet-ml/opik/pull/7280
- [OPIK-7154] [BE] perf: eliminate SELECT_TRACE_LAST_UPDATED_AT ClickHouse query on trace ingestion by @andrescrz in https://github.com/comet-ml/opik/pull/7288
- [OPIK-6994] [BE][FE] feat: persist online-evaluation runs as hidden monitoring traces by @alexkuzmik in https://github.com/comet-ml/opik/pull/7244
- [NA][HELM] Set use_skip_indexes_if_final_exact_mode to 0 by default by @liyaka in https://github.com/comet-ml/opik/pull/7276
- [OPIK-7163] [SDK] fix: reformat test_adk_concurrency.py with pinned ruff-format by @JetoPistola in https://github.com/comet-ml/opik/pull/7296
Full Changelog: https://github.com/comet-ml/opik/compare/2.1.11...2.1.12
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About opik
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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Beta — feedback welcome: [email protected]