Skip to main content

Library to systematically track and evaluate LLM based applications.

Project description

PyPI - Version Azure DevOps builds (job) 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!

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

trulens-1.0.3.tar.gz (4.2 kB view details)

Uploaded Source

Built Distribution

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

trulens-1.0.3-py3-none-any.whl (3.6 kB view details)

Uploaded Python 3

File details

Details for the file trulens-1.0.3.tar.gz.

File metadata

  • Download URL: trulens-1.0.3.tar.gz
  • Upload date:
  • Size: 4.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for trulens-1.0.3.tar.gz
Algorithm Hash digest
SHA256 14cd41328e6234efb439fd4dab26cc6e4af06b3ea827c3dd58bc3c478d54164d
MD5 25a4d4c352035cdf2abba98d30fee53e
BLAKE2b-256 d23a0c17a437f9f9983ca66f44c469f11a5d760c9379a05dc92619eb872ea9a9

See more details on using hashes here.

File details

Details for the file trulens-1.0.3-py3-none-any.whl.

File metadata

  • Download URL: trulens-1.0.3-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-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 8a17c9dab01e747eef85b47c6ff28726953b70ba7db47f3e20f46cfe5d636147
MD5 310a71d1a28787feed1647946a7f306b
BLAKE2b-256 2d09e4ef689ee1a948013e7b48f5c18d105b63e371fa5e2359b6447a18770085

See more details on using hashes here.

Supported by

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