Quantify Issues

Recent GitHub Issues Activity

_{Like all software activity quantification, these numbers are imperfect but sometimes useful. Comments, Labels, and Milestones refer to those issues opened in the timespan in question.}

Quantify commits

Quantified Commit Activity Over 30 Days

Developer	Avatar	Branches	PRs	Commits	Files	Changes
Jiayi Zhang (didiforgithub)		1	2/1/0	5	15	11546
莘权 马		2	0/0/0	13	23	233
hgftrdw45ud67is8o89		1	1/1/0	3	2	11
None (femto)		0	2/0/0	0	0	0
None (seehi)		0	0/1/0	0	0	0
liuminhui		0	0/0/0	0	0	0
Alexander Wu		0	0/0/0	0	0	0
Guess		0	11/5/1	0	0	0
huihui (jschyz)		0	1/0/0	0	0	0
João Galego (JGalego)		0	1/0/0	0	0	0
None (paras55)		0	1/0/0	0	0	0
好好学习的郝 (voidking)		0	0/1/0	0	0	0
better629		0	0/0/0	0	0	0
Jackson (Jacksonxhx)		0	1/0/0	0	0	0
草帽小子 (duanguo108)		0	1/0/0	0	0	0
jasonliao (lanlanguai)		0	1/0/0	0	0	0
wangs (wangwenju269)		0	2/0/2	0	0	0
stone (yingfeng2016)		0	2/0/1	0	0	0
Arpit Pathak (Thepathakarpit)		0	1/0/1	0	0	0

_{PRs: created by that dev and opened/merged/closed-unmerged during the period}

Report On: Fetch issues

Recent Activity Analysis

The MetaGPT project has seen significant recent activity, with 299 open issues currently logged. Notably, several issues have been created or updated in the past week, indicating ongoing user engagement and potential challenges with the framework. A common theme among these issues is the integration of various LLMs and the functionality of specific roles, particularly the Researcher and Engineer roles, which have encountered multiple errors and inconsistencies in their outputs.

Several issues highlight critical bugs related to API interactions and the handling of responses, such as KeyError, ValueError, and JSONDecodeError. These errors suggest that users are facing challenges with the underlying architecture and integration of different components within the MetaGPT framework.

Issue Details

Most Recently Created Issues

1. Issue #1462: API openrouter does not work

   • Priority: High
   • Status: Open
   • Created: 1 day ago
   • Updated: N/A
   • Description: User reports a KeyError when attempting to use the openrouter API as per documentation.

2. Issue #1461: Unable to run llm_vision.py example / pass any images to Action._aask()

   • Priority: Medium
   • Status: Open
   • Created: 2 days ago
   • Updated: 1 day ago
   • Description: User encounters an error when trying to pass images in base64 format to an action, suggesting a potential misconfiguration or bug in how images are handled.

3. Issue #1458: 怎么生成符合我自定义规范的代码?

   • Priority: Low
   • Status: Open
   • Created: 4 days ago
   • Updated: 2 days ago
   • Description: User seeks guidance on generating code that adheres to custom specifications, indicating a need for more flexible code generation capabilities.

4. Issue #1456: 生成flask项目的问题

   • Priority: Medium
   • Status: Open
   • Created: 4 days ago
   • Updated: 2 days ago
   • Description: User reports that running test code for a Flask project hangs indefinitely, suggesting potential issues with blocking calls or server configuration.

5. Issue #1455: recovered role can't observe new message

   • Priority: High
   • Status: Open
   • Created: 5 days ago
   • Updated: N/A
   • Description: A bug where messages are not being processed correctly when a role is marked as recovered.

Most Recently Updated Issues

1. Issue #1461: Unable to run llm_vision.py example / pass any images to Action._aask()

   • Updated by user with additional error details.

2. Issue #1456: 生成flask项目的问题

   • Edited with further clarification on the problem encountered during testing.

3. Issue #1455: recovered role can't observe new message

   • Edited with more context regarding the bug's impact on message processing.

4. Issue #1458: 怎么生成符合我自定义规范的代码?

   • Edited with follow-up questions regarding custom code generation.

5. Issue #1449: 如何绘制一个折线图或柱状图

   • Edited with additional requests for clarification on drawing charts based on input data.

Implications for the Project

The recent issues indicate that while there is active engagement from users, there are also significant pain points related to API integrations and role functionalities within MetaGPT. The prevalence of errors suggests that users may struggle to utilize the framework effectively without encountering technical hurdles. This could hinder adoption and satisfaction among users if not addressed promptly.

Moreover, the need for better documentation and examples tailored to specific use cases (like custom code generation) is evident from user inquiries. Addressing these issues could enhance user experience and broaden the framework's applicability across different domains and projects.

Report On: Fetch pull requests

Report on Pull Requests

Overview

The analysis of the pull requests (PRs) for the MetaGPT project reveals a total of 46 open PRs, with a mix of bug fixes, feature enhancements, and integrations with external APIs. The recent activity indicates a focus on improving functionality and addressing existing issues, particularly around API integrations and role functionalities.

Summary of Pull Requests

1. PR #1460: fixbug: qianfan timeout
   Created 3 days ago. This PR adds a timeout parameter to the Qianfan provider API to enhance its reliability. It is currently open and has received comments regarding code coverage.

2. PR #1459: fixbug: recovered role can't observe new message
   Created 3 days ago. This PR addresses an issue where a recovered role fails to observe new messages. It is also open and has been noted for having full test coverage.

3. PR #1457: Integrated Milvus with MetaGPT
   Created 4 days ago. This significant update integrates the Milvus vector database into MetaGPT, enhancing its data handling capabilities.

4. PR #1454: ai-write-paper
   Created 5 days ago. This PR introduces features for intelligent writing tasks at the document level, although it remains unclear if it will be merged due to its complexity.

5. PR #1452: feat: + python <3.12
   Created 6 days ago. This PR updates Python version requirements in the setup files, ensuring compatibility with newer versions.

6. PR #1450: feat(bedrock): Temporary AWS credentials via env vars + supported models update
   Created 7 days ago. This PR enhances AWS integration by allowing temporary credentials through environment variables and updates supported models.

7. PR #1446: Adding Unify AI Support
   Created 12 days ago. This PR adds support for Unify AI, enabling users to access multiple AI models with a single API key.

8. PR #1442: fix bug: qianfan_api.py _achat_completion_stream add request_timeout
   Created 17 days ago. This PR fixes a timeout issue in the Qianfan API's asynchronous completion stream.

9. PR #1441: Minion
   Created 17 days ago. This PR introduces a new design for a "Minion" agent within the framework.

10. PR #1413: Added support for the HyDE method in query analysis for RAG plates
    Created 29 days ago. This PR enhances the RAG module by adding query analysis capabilities using the HyDE method.

11. PR #1444: Update Action graph Version 0.1.2
    Created 15 days ago. This PR updates the action graph used in various tasks within MetaGPT.

12. PR #1440: Rm sk agent
    Created 17 days ago. This PR removes an unused agent from the codebase, which helps streamline functionality.

13. PR #1434: 新增流式输出的例子，使用fast api和sse，将大模型的输出实时推送到客户端（浏览器）
    Created 20 days ago. This PR adds an example of streaming output using FastAPI and SSE.

14. PR #1421: feat: + write code only
    Created 26 days ago. This feature allows engineers to write code directly without additional context or prompts.

15. PR #1415: feat: +git commit history
    Created 29 days ago. This PR synchronizes GitLab repository history features into MetaGPT.

16-46 (Various other open PRs): These include enhancements, bug fixes, and integrations with different APIs and functionalities aimed at improving the overall performance and usability of MetaGPT.

Analysis of Pull Requests

The current landscape of open pull requests in the MetaGPT project reveals several key themes:

Bug Fixes and Enhancements

A significant number of recent pull requests focus on fixing bugs related to existing functionalities, particularly around API integrations (e.g., Qianfan, AWS Bedrock). For instance, PRs like #1460 and #1459 address critical bugs that could impact user experience significantly if not resolved promptly.

Feature Additions

There is a strong emphasis on adding new features that enhance the capabilities of MetaGPT, such as integrating new databases (Milvus) or supporting additional AI models (Unify AI). These additions are crucial as they expand the project's versatility and applicability in real-world scenarios.

Code Quality and Maintenance

Several pull requests aim at improving code quality through refactoring or updating dependencies (e.g., PRs #1452 and #1440). Maintaining clean and up-to-date code is essential for long-term project sustainability, especially as more contributors join the project.

Community Engagement

The active discussion around many pull requests indicates a healthy level of community engagement, with contributors providing feedback on each other's work (e.g., comments on naming conventions and code structure). However, some older pull requests remain unmerged or have stalled discussions, which may indicate areas where more focused attention is needed to drive them towards completion.

Coverage Concerns

Multiple pull requests have raised concerns about code coverage, particularly those flagged by Codecov comments (e.g., PRs #1460 and #1459). Ensuring adequate test coverage is vital for maintaining software quality as new features are added or existing ones are modified.

Lack of Recent Merge Activity

While there are numerous open pull requests, there appears to be a lack of recent merge activity for some older ones (e.g., several from over a month ago). This could suggest bottlenecks in review processes or resource allocation that may need addressing to ensure timely integration of contributions into the main branch.

Conclusion

Overall, the current state of pull requests in MetaGPT reflects an active development environment focused on enhancing functionality while addressing existing issues effectively. Continued attention to merging older pull requests and maintaining high test coverage will be essential as the project evolves further.

Report On: Fetch commits

Repo Commits Analysis

Development Team and Recent Activity

Team Members:

1. better629

   • Activity: No recent commits or contributions.

2. 莘权 马

   • Recent Activity:
   • 13 commits in the last 30 days, focusing on bug fixes and feature enhancements.
   • Notable contributions include fixing bugs related to role observation and optional parameters in various action nodes.
   • Collaborated with team members on multiple pull requests, including those addressing issues #1429 and #1430.
   • Ongoing work includes enhancements to the memory management system and action nodes.

3. iorisa

   • Activity: No recent commits but has multiple open pull requests (11) indicating ongoing involvement in code reviews or feature development.

4. HuiDBK

   • Activity: No recent commits or contributions.

5. hgftrdw45ud67is8o89

   • Recent Activity:
   • 3 commits in the last 30 days, primarily focused on bug fixes in action management scripts.
   • Collaborated on fixing issue #1430 related to project management actions.

6. didiforgithub

   • Recent Activity:
   • 5 commits with significant changes (11,546 lines) mainly related to the Action Graph Solver.
   • Introduced new benchmarks and updated existing action nodes, indicating a focus on performance improvements.

7. Others (e.g., Jacksonxhx, wangwenju269, etc.)

   • Various members have open pull requests, but no recent commit activity is noted.

Summary of Recent Activities:

• The team has been actively addressing bugs and enhancing features, particularly around role management and action nodes.
• The most active contributors are 莘权 马 and didiforgithub, with significant changes made by didiforgithub to the Action Graph Solver.
• Collaboration is evident through multiple merged pull requests addressing specific issues, indicating a responsive development environment.
• The presence of numerous open pull requests suggests ongoing discussions and potential future developments.

Patterns and Themes:

• A clear focus on bug fixing and feature enhancement is prevalent among the active contributors.
• The collaboration between team members is robust, with many working together on resolving issues and merging changes.
• There appears to be a division of labor where certain members are more focused on specific areas (e.g., action nodes vs. overall framework improvements).
• The project is maintaining a steady pace of development with ongoing contributions from both active developers and those involved in code reviews or pending pull requests.

Conclusion:

The development team is engaged in continuous improvement of the MetaGPT project, with a strong emphasis on collaboration and responsiveness to issues raised within the community. The recent activities reflect a proactive approach to both feature development and bug resolution.