Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

PyPI - Version Azure Build Status GitHub PyPI - Downloads Slack Docs Open In Colab

🦑 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 slack community!

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

trulens-1.1.0a4.tar.gz (4.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

trulens-1.1.0a4-py3-none-any.whl (3.6 kB view details)

Uploaded Python 3

File details

Details for the file trulens-1.1.0a4.tar.gz.

File metadata

  • Download URL: trulens-1.1.0a4.tar.gz
  • Upload date:
  • Size: 4.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for trulens-1.1.0a4.tar.gz
Algorithm Hash digest
SHA256 95a0f2ae12a38d516a91d99d967d63cad0daa2a00427c2b0c2e690b97121714e
MD5 2beb96294109af07cd8e9ec8c656ea1f
BLAKE2b-256 d3d88695cc9ca5f5aa9ad83aa8bda2eb0e45f69181e03c2c84af6f91e9fab17b

See more details on using hashes here.

File details

Details for the file trulens-1.1.0a4-py3-none-any.whl.

File metadata

  • Download URL: trulens-1.1.0a4-py3-none-any.whl
  • Upload date:
  • Size: 3.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for trulens-1.1.0a4-py3-none-any.whl
Algorithm Hash digest
SHA256 edbc8e9c03937508507a9d990a740c12b692a3dfad44128a3edc0d0dd08d3cbd
MD5 28237e5c2c375e9f1f958728a7b48582
BLAKE2b-256 1cc89d78a34ad51d69506a13b6b60cd312df66f3fd41674156616fbaec122e79

See more details on using hashes here.

Release history Release notifications | RSS feed

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page