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Prompt testing

Promptfoo ✓

Evaluate and test LLM prompts automatically.

Source rating 4.0 (1) 3.6k views 14 saves Unknown
Math Solution Evaluation Mathematics Prompt Evaluation
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Education Educational Technology AI Grading System Prompt testing
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Verdict

A quick read before you dig into the full page.

Best if
Evaluate and test LLM prompts automatically
Skip if
Possibly complex for beginners
Pick this when
Automated math prompt evaluation

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Overview

The LLM Prompt Testing tool is a library designed to evaluate the quality of LLM (Language Model Mathematics) prompts and perform testing. It provides users with the ability to ensure high-quality outputs from LLM models through automatic evaluations.

The tool allows users to create a list of test cases using a representative sample of user inputs. This helps reduce subjectivity when fine-tuning prompts.

Users can also set up evaluation metrics, leveraging the tool's built-in metrics or defining their own custom metrics.With this tool, users can compare prompts and model outputs side-by-side, enabling them to select the best prompt and model for their specific needs.

Additionally, the library can be seamlessly integrated into the existing test or continuous integration (CI) workflow of users.The LLM Prompt Testing tool offers both a web viewer and a command line interface, providing flexibility in how users interact with the library.

Furthermore, it is worth noting that this tool has been trusted by LLM applications serving over 10 million users, highlighting its reliability and popularity within the LLM community.Overall, the LLM Prompt Testing tool empowers users to assess and enhance the quality of LLM prompts, improve model outputs, and make informed decisions based on objective evaluation metrics.

Promptfoo website

Access & connections

Where you can use Promptfoo, and what it plugs into.

Platforms

Web CLI

Integrations

Make

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Text

Output

  • Text

Supported features

  • QA Automation

Pros & cons

Pros

  • Automated math prompt evaluation
  • Provides prompt quality assurance
  • Defines custom metrics
  • Side-by-side prompt comparisons
  • Existing workflow integration capability
  • Web viewer and CLI
  • Used by over 10M users
  • Reduces prompt-tuning subjectivity
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  • Supports LLM-graded evaluations
  • Enable objective decision-making
  • Facilitates high-quality LLM outputs
  • Supports representative user samples
  • Allows prompt and model selection
  • Trustworthy within LLM community
  • Enables prompt testing automation
  • Offers built-in evaluation metrics

Cons

  • No mobile version
  • No multi-language support
  • Possibly complex for beginners
  • No SDK for integration
  • Poor documentation
  • Limited built-in metrics
  • No customer support
  • Dependency on command line
Show 2 more
  • No real-time evaluation
  • GitHub dependent

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Releases 1

Initial release May 20, 2023 Current
Initial release of Promptfoo.

FAQ 12

What is the purpose of Promptfoo?
Promptfoo's primary purpose is to evaluate the quality of Language Model Mathematics (LLM) prompts and conduct tests for the same. It provides automatic evaluations to ensure high-quality outputs from LLM models, empowers users to enhance LLM prompts, make informed decisions based on objective evaluation metrics, and facilitates efficient testing.
How does Promptfoo test LLM prompts?
Promptfoo tests LLM prompts by enabling users to create a list of test cases using a representative sample of user inputs. This approach reduces subjectivity in prompt fine-tuning. The users can also set up evaluation metrics, either using the tool's built-in metrics or defining custom metrics of their own.
Can I define custom metrics in Promptfoo?
Yes, Promptfoo allows users to define their own custom metrics. This feature adds flexibility by accommodating unique evaluation standards.
How does Promptfoo reduce subjectivity in fine-tuning prompts?
Promptfoo reduces subjectivity in fine-tuning prompts by allowing users to create a list of test cases using a representative sample of user inputs. This ensures that a wide variety of scenarios are considered during the evaluation process, resulting in a more objective evaluation.
Can I view the comparisons between prompts and model outputs in Promptfoo?
Yes, Promptfoo allows users to view comparisons between prompts and model outputs side by side. This feature aids users in choosing the best prompt and model for their specific needs.
How can I incorporate Promptfoo into my existing test or CI workflow?
Promptfoo can be incorporated into your existing test or continuous integration (CI) workflow seamlessly. This aids in ensuring consistent quality and testing of LLM model prompts within your environment.
Is there a web viewer available in Promptfoo?
Yes, Promptfoo offers a web viewer. This provides flexibility in how users interact with the tool, making it accessible for a broad range of user capabilities.
Does Promptfoo provide a command line interface?
Yes, Promptfoo provides a command line interface in addition to the web viewer. This allows users who prefer or require a more code-centric interaction method to use the tool effectively.
How many users are served by LLM apps using Promptfoo?
LLM applications using Promptfoo serve over 10 million users. This showcases the tool's popularity and wide-spread use in the LLM community.
Can Promptfoo be used to evaluate the quality of AI language model prompts?
Yes, Promptfoo can be used to evaluate the quality of AI language model prompts, ensuring that the prompts yield high-quality outputs.
Is there a representative sample feature in Promptfoo?
Yes, Promptfoo features a representative sample function. Users can create a list of test cases using a representative sample of user inputs, enabling a more comprehensive and objective evaluation.
How can I use Promptfoo to select the best model and prompt for my needs?
With Promptfoo, you can easily select the best model and prompt for your needs by comparing prompts and model outputs side by side. You also have the option to define your own custom metrics or use built-in metrics for evaluation.
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