promptfoo is an innovative tool designed to enhance the development and evaluation of Large Language Models (LLMs) by providing a comprehensive testing framework. Developed by the organization promptfoo, this open-source project aims to support a wide array of LLM APIs including but not limited to OpenAI, Anthropic, Azure, Google, and HuggingFace. It facilitates test-driven development for LLM applications through features such as side-by-side output comparison, automatic scoring based on predefined test cases, and integration with CI/CD pipelines. The project's GitHub repository indicates a healthy level of activity and community engagement, showcasing its importance and utility in the rapidly evolving domain of artificial intelligence and machine learning.
The recent activities within the promptfoo project reveal a concerted effort to expand its capabilities, address user-reported issues, and improve overall functionality. Contributions from both core team members and the community highlight a vibrant development environment characterized by collaborative efforts to enhance the tool's utility across various LLM platforms.
The open issues within promptfoo cover a broad spectrum from feature requests to bug reports. Notable issues like #588 requesting more flexible assertion capabilities, #572 suggesting CLI enhancements for CSV data retrieval, and #559 discussing more granular reporting options indicate users' desire for more sophisticated testing functionalities. These issues underscore the need for continuous improvement in areas such as assertion flexibility, usability enhancements, and reporting granularity.
The analysis of open pull requests reveals ongoing efforts to integrate new features and fix bugs. PRs like #63 for Weights & Biases integration and #331 addressing scenario expansion issues highlight active development areas. However, some PRs have remained open for extended periods, suggesting potential challenges in integration or prioritization.
Recently closed PRs such as #591 adding CLI watch functionality and #590 fixing Gemini configuration issues demonstrate responsiveness to enhancing developer experience and maintaining compatibility with external APIs.
promptfoo is on a positive trajectory, with active development focused on expanding its capabilities, improving usability, and addressing community feedback. The project benefits from both core team contributions and community engagement, indicating its relevance and value in the LLM development ecosystem. However, challenges such as managing long-standing pull requests and addressing a wide range of open issues highlight areas for improvement in project management and prioritization. Overall, promptfoo stands out as a critical tool for developers working with LLMs, driving forward the test-driven development approach in AI applications.
| Developer | Avatar | Branches | Commits | Files | Changes |
|---|---|---|---|---|---|
| Ian Webster |  |
3 | 50 | 114 | 6458 |
| John Vert |  |
1 | 1 | 3 | 77 |
| Matt Hendrick |  |
1 | 1 | 1 | 35 |
| heartyguy |  |
1 | 1 | 1 | 11 |
| Stefan Streichsbier |  |
1 | 1 | 2 | 8 |
| dependabot[bot] |  |
1 | 1 | 1 | 6 |
| Romain |  |
1 | 1 | 1 | 3 |
promptfoo is a comprehensive tool designed for testing and evaluating the output quality of Large Language Models (LLMs). Developed and maintained by the organization promptfoo, this open-source project aims to facilitate test-driven development for LLM applications. It supports a wide array of LLM APIs including OpenAI, Anthropic, Azure, Google, HuggingFace, and more, allowing users to systematically test prompts, models, and RAGs. With features like side-by-side output comparison, automatic scoring based on predefined test cases, and integration with CI/CD pipelines, promptfoo streamlines the process of improving prompt quality and catching regressions.
The project is hosted on GitHub with its documentation available at promptfoo.dev. It is licensed under the MIT License, emphasizing its open-source nature. The repository shows a healthy level of activity with 946 total commits, 30 open issues, and 129 forks. It has garnered significant attention with 2219 stars and 17 watchers.
Summary
Detailed Reports
gemini-fix, main, and azure-openai-tools.webpack-dev-middleware from 5.3.3 to 5.3.4.The recent activities within the promptfoo project indicate a focused effort on enhancing functionality, fixing bugs, and expanding support for various LLM providers. The contributions from both core team members like Ian Webster and community contributors highlight a collaborative development environment. The introduction of new features such as CLI watch capabilities, support for additional LLM providers like Claude 3 Haiku, and improvements to existing functionalities like gemini configuration settings showcase the project's commitment to staying relevant and useful for its user base.
The active management of dependencies by dependabot[bot] also emphasizes an attention to maintaining a secure and up-to-date codebase. Furthermore, the engagement in documentation updates reflects an understanding of the importance of clear and accessible information for end-users.
promptfoo is a vibrant project with ongoing contributions aimed at refining its capabilities and extending its applicability across various LLM platforms. The development team's recent activities demonstrate a strong commitment to enhancing user experience, broadening the tool's utility, and fostering an open-source community around LLM testing and evaluation.
| Developer | Avatar | Branches | Commits | Files | Changes |
|---|---|---|---|---|---|
| Ian Webster | |
3 | 50 | 114 | 6458 |
| John Vert | |
1 | 1 | 3 | 77 |
| Matt Hendrick | |
1 | 1 | 1 | 35 |
| heartyguy | |
1 | 1 | 1 | 11 |
| Stefan Streichsbier | |
1 | 1 | 2 | 8 |
| dependabot[bot] | |
1 | 1 | 1 | 6 |
| Romain | |
1 | 1 | 1 | 3 |
Assertion Flexibility: Issue #588 requests an option for contains: False in assertions to handle unexpected markup formatting in LLM responses. This highlights a need for more flexible assertion capabilities to accommodate various output expectations.
CLI Enhancements: Issue #572 suggests adding a CLI command to retrieve results from the web UI in a CSV file format. This feature would significantly improve usability for users who prefer or require data in CSV format for further analysis or reporting.
Report Generation: Issue #559 discusses generating separate reports or breakdown reports per test suite instead of a single combined report. This issue underscores the need for more granular reporting options to better analyze and understand the performance of different test suites.
Variable Loading from Files: Issue #557 and #328 point out limitations and bugs related to loading variables from external files, especially when using wildcards or under scenarios / config. These issues indicate challenges in managing test data efficiently, which is crucial for scaling tests across multiple prompts and configurations.
Integration with Testing Frameworks: Issue #16 requests Vitest integration, reflecting a broader need for compatibility with various testing frameworks to accommodate different development workflows.
Prompt-Assertion Pairing: Issue #57 highlights a request for tighter coupling between prompts and assertions, particularly for text classification use cases. This suggests a need for more sophisticated test case definitions that can better reflect the dependencies between prompts and expected outputs.
Self-Hosting and Server Features: Issues #99 and #578 express interest in self-hosting capabilities and server features such as history tracking, sharing, and eval regressions. These requests point towards a demand for more collaborative and persistent testing environments beyond local execution.
Conversation History Handling: Issues #136, #384, and #385 discuss challenges with conversation history (_conversation) management across scenarios and parallel execution. These highlight complexities in testing conversational AI models where context continuity is essential.
Custom Provider Configuration: Issue #518 touches on confusion around configuring providers via the command line, especially regarding passing options through provider config entries. This indicates potential usability improvements in how custom providers are configured and utilized.
Web UI Enhancements: Several issues (e.g., #233, #244) mention limitations or bugs in the web UI, such as missing assertion types in dropdowns or variable ordering issues. These reflect areas for improvement in the web interface to enhance user experience.
The open issues within the promptfoo/promptfoo repository reveal a community actively engaging with the project's development, suggesting enhancements ranging from usability improvements in CLI commands and web UI to deeper technical features like assertion flexibility and conversation history management. The recent closures indicate an ongoing effort to address these concerns, though several notable areas for improvement remain, particularly around test data management, reporting granularity, self-hosting capabilities, and integration with broader testing frameworks.
promptfoo/promptfoo ProjectPR #63: Weights & Biases integration
PR #331: Fix for Scenarios with Variables
evaluator.ts, which might require careful review to ensure no functionality is lost.PR #396: Enhancements including Seed for Azure and Cache for Repeats
PR #482: DPO Download Button Feature
PR #521: Fix for Undefined prompt.id in conversationKey
prompt.id was undefined within conversationKey, affecting conversation tracking.PR #527: Rename id to model
id to model across various configurations and documentation, related to issue #511.PR #591: CLI Watch for Vars and Providers
PR #590: Fix for Gemini Configuration in Vertex AI
PR #589: Support Relative Paths for Custom Providers
PR #586: Lazy Import of Azure Peer Dependency
PR #583: Load File Before Running Prompt Function
id to model"The pull request introduces a significant change by renaming the id property to model across various files, primarily within provider configurations and related functions. This change affects a wide range of files, including TypeScript source files, documentation, and configuration examples. The modification aims to standardize the terminology used within the project, making it clearer that this property refers to the model identifier rather than a generic ID. Additionally, the pull request includes updates to provider labels and adjustments to ensure backward compatibility.
Clarity and Maintainability: The changes enhance clarity by using a more descriptive term (model) for what was previously referred to as id. This makes the codebase more intuitive, especially for new contributors or when integrating new models. The addition of comments and type annotations further improves readability and maintainability.
Consistency: The pull request applies the changes consistently across the entire codebase, including source files, examples, and documentation. This consistency is crucial for avoiding confusion and ensuring that future additions or modifications adhere to the same standards.
Backward Compatibility: The author has taken steps to maintain backward compatibility by allowing both id and model properties in certain contexts. While this approach is practical for a transitional period, it may introduce some complexity. Clear documentation on the deprecation of id and the preferred use of model will be essential for guiding users through this change.
Documentation Updates: The pull request includes updates to documentation and comments, reflecting the changes in terminology and providing guidance on using the new model property. This proactive approach ensures that the documentation remains accurate and useful.
Error Handling and Validation: The changes include checks and validation (e.g., using invariant function) to ensure that necessary properties are provided when configuring providers. This attention to error handling contributes to the robustness of the code.
Performance Impact: The modifications are primarily related to configuration properties and do not introduce significant computational overhead or performance impact. The focus is on improving clarity and maintainability rather than altering functionality or performance characteristics.
Test Coverage: While the pull request does not explicitly mention updates to test cases, it is crucial that existing tests are reviewed to ensure they reflect the changes made in this pull request. Additionally, new tests should be considered to cover any new logic or validation introduced.
id property in favor of model, including timelines and migration guides for users.This pull request makes thoughtful changes aimed at improving clarity and consistency within the codebase by renaming a key property from id to model. The approach taken respects backward compatibility while setting a clear path for future standardization. With attention to documentation, testing, and a clear deprecation strategy, these changes will enhance the project's maintainability and ease of use.
Analyzing the provided source code files and documentation updates from the promptfoo repository, we can derive insights into the structure, quality, and recent developments in the project. Here's a detailed analysis:
src/providers/vertex.ts)Structure and Quality:
vertex.ts file is well-structured, following a class-based approach to encapsulate functionality related to Google Vertex AI integration.VertexGenericProvider class and a specific VertexChatProvider class for handling chat models like Gemini and Bison.google-auth-library) is handled elegantly, with checks to ensure the library is installed as a peer dependency.Recent Developments:
src/providers/azureopenai.ts)Structure and Quality:
Recent Developments:
src/providers/mistral.ts)Structure and Quality:
promptfoo, broadening its utility.Recent Developments:
src/providers/huggingface.ts)Structure and Quality:
promptfoo's functionality to include support for Hugging Face's token classification models.Recent Developments:
promptfoo can interact with.Structure and Quality:
examples/huggingface-pii/promptfooconfig.yaml, examples/custom-provider-embeddings/customProvider.js, examples/azure-openai-assistant/promptfooconfig.yaml) provide clear, real-world scenarios on how promptfoo can be configured for specific tasks.promptfoo for their needs.Recent Developments:
promptfoo.The promptfoo project exhibits a high level of code quality, thoughtful architecture, and active development focused on expanding its capabilities across various AI model providers. The consistent design across different integrations, combined with comprehensive documentation and examples, makes it a valuable tool for developers working with AI models.