Evaluation & Testing

regllm

Offline regression testing for Large Language Model responses using Ollama and Zod.

Status
Not yet determined
Last checked
Unverified
License
Open source
Pricing
Free tier · from $0
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What it is

regllm is a library that enables developers to run offline regression tests on Large Language Model (LLM) responses, ensuring consistency and reliability in AI-driven applications. It leverages Ollama and Zod for robust validation and testing.

regllm stands out as the only library providing offline regression testing capabilities specifically tailored for Large Language Models, ensuring robust and reliable model performance in controlled environments.

When it fits — and when it doesn’t

A good fit for

  • Developers who need to ensure the reliability of Large Language Models in offline environments

  • Teams working on applications that require consistent and validated LLM responses

  • Projects where regression testing is critical for maintaining model performance

Look elsewhere if

  • Real-time or online testing scenarios requiring immediate feedback

  • Applications that do not have a need for offline validation of AI models

Known weaknesses

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

  1. 01

    Steep learning curve for non-JavaScript developers

    API heavily relies on JavaScript-specific patterns and TypeScript, which may be unfamiliar to developers from other language backgrounds

  2. 02

    Limited documentation and examples

    The official documentation lacks detailed guides and practical examples for complex use cases, making it difficult for new users to fully leverage the tool's capabilities

  3. 03

    Dependency on Ollama and Zod can introduce instability

    Integration with external libraries like Ollama and Zod may lead to compatibility issues or unexpected behavior if those libraries undergo changes that regllm does not support

  4. 04

    Performance bottlenecks during large-scale testing

    Running extensive offline regression tests on a large dataset can be slow and resource-intensive, potentially leading to long test execution times

What it does well

  • Offline regression testing for LLM responses

  • Integration with Ollama and Zod for validation

  • Ensures consistency in AI-driven applications

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 regllm

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

Open the setup guide →