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TruLens

TruLens is an open source library for evaluating and tracing AI agents. Instrument with OpenTelemetry and score every step with benchmarked LLM judges.

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llms.txt
https://www.trulens.org/llms.txt
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AI and machine learning
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Interface: a documented API or declared MCP endpoint an agent can call
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2026-10-19T10:43:33.883Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T04:13:40.415Z. Cached copy · Source on trulens.org

# TruLens

> TruLens is an open source library for evaluating and tracing AI agents. Instrument with OpenTelemetry and score every step with benchmarked LLM judges.

Notes for interpreting these docs:

- Tracing is OpenTelemetry-native. Spans carry TruLens semantic conventions, so a trace is portable to any OTel backend.
- Evaluations run two ways: as traces land, or over a dataset after the fact. Both use the same metric definitions.
- Snowflake is one supported logging backend, not a requirement. TruLens runs locally against SQLite or Postgres.
- Metrics are LLM judges with explanations attached. A score without a reason is not the intended output.

## Start here

- [Getting started](https://www.trulens.org/getting_started/): Orientation and the shape of a TruLens workflow
- [Install](https://www.trulens.org/getting_started/install/): Package layout and optional extras
- [Quickstart](https://www.trulens.org/getting_started/quickstarts/quickstart/): Instrument an app, run metrics, read results
- [Viewing results](https://www.trulens.org/getting_started/dashboard/): Leaderboard, Trends, Records and Compare dashboard views
- [Monitoring trends](https://www.trulens.org/getting_started/dashboard/trends/): Evaluation metrics, latency, app and evaluation cost over time, with record investigations
- [GitHub repository](https://github.com/truera/trulens): Source, issues and releases. MIT licensed

## Core concepts

- [Metrics](https://www.trulens.org/getting_started/core_concepts/feedback_functions/): What a metric is and how judges produce scores with reasons
- [RAG triad](https://www.trulens.org/getting_started/core_concepts/rag_triad/): Context relevance, groundedness and answer relevance, and why all three are needed
- [Honest, harmless, helpful](https://www.trulens.org/getting_started/core_concepts/honest_harmless_helpful_evals/): A framework for choosing which metrics matter
- [OpenTelemetry semantic conventions](https://www.trulens.org/otel/semantic_conventions/): The span and attribute names TruLens emits

## Instrumentation

- [Instrumentation overview](https://www.trulens.org/component_guides/instrumentation/): The @instrument decorator, span types and attributes
- [LangChain](https://www.trulens.org/component_guides/instrumentation/langchain/): TruChain
- [LangGraph](https://www.trulens.org/component_guides/instrumentation/langgraph/): TruGraph, for graph and agent workflows
- [LlamaIndex](https://www.trulens.org/component_guides/instrumentation/llama_index/): TruLlama
- [MCP](https://www.trulens.org/component_guides/instrumentation/mcp/): Tracing Model Context Protocol tool calls
- [Span groups](https://www.trulens.org/component_guides/instrumentation/span_groups/): Localising a metric to one hop of a multi-step app

## Metrics and evaluation

- [Evaluation overview](https://www.trulens.org/component_guides/evaluation/): How evaluation fits together
- [Anatomy of a metric](https://www.trulens.org/component_guides/evaluation/feedback_anatomy/
…

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