This release adds 1 notable feature for engineering teams evaluating rollout.
Published 1mo
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 summaryAdd source_queue_id to scores/comments and scope feedback by queue.
Full changelog
What's Changed
- [OPIK-6028] [CI] perf: build Docker images once via GHCR, parallelize E2E tests by @JetoPistola in https://github.com/comet-ml/opik/pull/7117
- [OPIK-6777] [FE] Improve Logs search discoverability & visual consistency by @miguelgrc in https://github.com/comet-ml/opik/pull/7149
- [OPIK-7007] [FE] Strip UTM params from internal docs links by @jverre in https://github.com/comet-ml/opik/pull/7157
- [OPIK-6918] [FE] test: add E2E tests for Prompt Library and Playground by @natagh23 in https://github.com/comet-ml/opik/pull/7129
- [OPIK-6617] [CI] feat(release): add NPM_TOKEN and PYPI_API_TOKEN preflight checks (recreates #6790) by @JetoPistola in https://github.com/comet-ml/opik/pull/7122
- [OPIK-6968] [BE] perf: filter trace_threads join in getMinimalThreadInfoByIds by @thiagohora in https://github.com/comet-ml/opik/pull/7158
- [NA] [SDK] [DOCS] Update automatically OpenAPI spec and Fern code by @CometActions in https://github.com/comet-ml/opik/pull/7163
- [NA] [BE][FE] chore: sync provider model definitions by @CometActions in https://github.com/comet-ml/opik/pull/7162
- [OPIK-6791] [BE][FE] Add source_queue_id to scores/comments and scope feedback by queue by @miguelgrc in https://github.com/comet-ml/opik/pull/7134
- [NA][QA] add OpenRouter API key fallback via custom provider in playground E2E tests by @AndreiCautisanu in https://github.com/comet-ml/opik/pull/7155
- [OPIK-6130][E2E] test: add Agent Playground local runner E2E by @AndreiCautisanu in https://github.com/comet-ml/opik/pull/7156
Full Changelog: https://github.com/comet-ml/opik/compare/2.0.70...2.0.71
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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]