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

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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 slack community!

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (2.15.0)

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

Metadata

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (2.15.0)

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

Release files for trulens 1.0.1a2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for trulens 1.0.1a2
File Size Uploaded
trulens-1.0.1a2.tar.gz 4.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for trulens 1.0.1a2
File Interpreter ABI Platform
trulens-1.0.1a2-py3-none-any.whl 3.6 kB Python 3 none any Details

Total release size: 7.7 kB

Release files / trulens-1.0.1a2.tar.gz

Download URL trulens-1.0.1a2.tar.gz
Size 4.1 kB
Tags Source
SHA-256 checksum
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BLAKE2b-256 checksum
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Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/5.1.1 CPython/3.11.9

Release files / trulens-1.0.1a2-py3-none-any.whl

Download URL trulens-1.0.1a2-py3-none-any.whl
Size 3.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums 		916d43df3fb8910a2c3f450c76f7d5fa7cc4d07e2632e23d2fab542f29676d70
BLAKE2b-256 checksum
How to use checksums 		974e7823c800b72e1513ad9e2e1dc0b7c5301e02045563763b043c5082129481
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/5.1.1 CPython/3.11.9

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2.15.0

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