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🦑 Welcome to TruLens!

TruLens

Don't just vibe-check your LLM app! Systematically evaluate and track your LLM experiments with TruLens. As you develop your app including prompts, models, retrievers, knowledge sources and more, TruLens is the tool you need to understand its performance.

Fine-grained, stack-agnostic instrumentation and comprehensive evaluations help you to identify failure modes & systematically iterate to improve your application.

Read more about the core concepts behind TruLens including Feedback Functions, The RAG Triad, and Honest, Harmless and Helpful Evals.

TruLens in the development workflow

Build your first prototype then connect instrumentation and logging with TruLens. Decide what feedbacks you need, and specify them with TruLens to run alongside your app. Then iterate and compare versions of your app in an easy-to-use user interface 👇

Architecture Diagram

Installation and Setup

Install the trulens pip package from PyPI.

    pip install trulens

Quick Usage

Walk through how to instrument and evaluate a RAG built from scratch with TruLens.

Open In Colab

💡 Contributing & Community

Interested in contributing? See our contributing guide for more details.

The best way to support TruLens is to give us a ⭐ on GitHub and join our discourse community!

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (2.14.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for Truera from gravatar.com Truera

Credits

Author: Snowflake Inc.

License

MIT License (MIT)

Requires

Python !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*, !=3.8.*, >=3.9

Classifiers

Report project as malware

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Source Distribution

trulens-2.3.0.tar.gz (4.2 kB view details)

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Release history Release notifications | RSS feed

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