Evaluation & Testing

Trulens

Evaluation and Tracking for LLM Experiments and AI Agents

Status
Generally available
Last checked
Checked · Oct 13, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

Trulens provides tools to evaluate and track the performance of large language models and AI agents, enabling developers to monitor and improve their machine learning experiments effectively.

Trulens stands out by offering a comprehensive set of tools specifically designed for evaluating large language models and AI agents, providing detailed tracking and customizable metrics that are essential for advanced ML projects.

When it fits — and when it doesn’t

A good fit for

  • Teams working on large language models who need detailed performance tracking

  • Data scientists looking to compare multiple versions of a model in an automated way

  • Developers building AI agents that require consistent and reliable evaluation metrics

Look elsewhere if

  • Projects requiring real-time monitoring or streaming data analysis (batch processing only)

  • Teams with limited technical expertise in Python and machine learning frameworks

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited documentation for advanced use cases

    Examples and tutorials are basic, lacking deep dives into complex scenarios

  2. 02

    Performance overhead in real-time monitoring

    Real-time tracking can introduce latency in production environments

What it does well

  • Detailed evaluation metrics for LLMs and AI agents

  • Tracking of model performance over time

  • Integration with various ML frameworks

  • Customizable evaluation criteria

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

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Set up Trulens

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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