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trulens
Evaluation and Tracking for LLM Experiments and AI Agents
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python/poetrypythonnodemachine-learningneural-networksllmsexplainable-mlllmopsllm-evaluationevalsmakeai-monitoringai-agentsPythonagent-evaluationllm-evalagent-appai-observabilityagentops
TruLens is a Python toolchain (Poetry-managed, with Make and Node components) for evaluating and tracking LLM experiments and AI agents. Its topics span llmops, ai-observability, and agent evaluation, indicating it monitors and scores LLM and agent behavior.
Reach for it when you need evaluation and tracking around LLM experiments or agent runs rather than ad-hoc logging.
Use it to
- Evaluate LLM experiment outputs
- Track AI agent behavior over runs
- Add observability to LLM applications
- Measure agent performance with evals
- Adopt llmops monitoring practices
For Teams building and evaluating LLM apps and agents
- Role
- agent-app
- Language
- Python
- Licence
- MIT
- Forks
- 340
- Open issues
- 20
- Last push
- 2026-09-14
- Latest release
- 0.0.5 · 2021-02-03
topicsllm-evaluationagent-evaluationai-observabilityllmopsevalsmonitoring