Agency Swarm, a Python framework for automating AI agent management using OpenAI's API, is experiencing a period of stagnation with unresolved issues and limited recent development activity.
Recent issues in the Agency Swarm project highlight significant user frustrations, particularly around API limitations and multi-thread management. Key issues include #162, which addresses token limits for lower-tier OpenAI accounts, and #163, which discusses insufficient support for managing multiple threads. These issues suggest a need for architectural improvements to enhance user experience and scalability.
Summary
Quantified Reports
Detailed Reportsagency_swarm/threads/thread.py.agency_swarm/util/files.py.agency_swarm/agency/agency.py and agency_swarm/util/files.py.agency_swarm/threads/thread.py.The development activity is primarily focused on bug fixes and minor enhancements, indicating a stabilization phase rather than new feature development. All recent contributions are by Arsenii Shatokhin, suggesting a lack of collaboration or additional team members.
| Timespan | Opened | Closed | Comments | Labeled | Milestones |
|---|---|---|---|---|---|
| 7 Days | 1 | 1 | 0 | 1 | 1 |
| 30 Days | 1 | 3 | 0 | 1 | 1 |
| 90 Days | 11 | 18 | 25 | 5 | 1 |
| All Time | 95 | 90 | - | - | - |
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.
| Developer | Avatar | Branches | PRs | Commits | Files | Changes |
|---|---|---|---|---|---|---|
| github-actions[bot] |  |
1 | 0/0/0 | 1 | 63 | 29789 |
| Arsenii Shatokhin |  |
1 | 0/0/0 | 17 | 15 | 266 |
PRs: created by that dev and opened/merged/closed-unmerged during the period
The recent activity in the GitHub issues for the Agency Swarm project shows a moderate level of engagement, with five open issues currently being discussed. Notably, several issues revolve around API limitations and user experience challenges, particularly concerning token limits and multi-thread management. A recurring theme is the need for enhancements to support better error handling and configurability, especially regarding OpenAI's API constraints.
Several issues highlight significant user frustrations, such as difficulties in managing multiple threads and the lack of configurable model settings for different usage tiers. The presence of stale issues suggests that some concerns may not be receiving timely attention, potentially impacting user satisfaction and project adoption.
Issue #164: Question: restart or finish a run of Genesis possible?
Issue #162: genesis facing token limit for usage tier 1 openai accounts - suggesting having configurable model setting
Issue #163: Insufficient support managing multiple threads when several users interact with the same agency simultaneously.
Issue #160: Genesis with Open Source / Third Party models
Issue #158: Token Usage Statistics
Issue #166: Add File Attachment Support to Message Tool
Issue #161: Fails to read/access files(csv, pdf, etc...)
Issue #165: Shared state Initialization
Issue #152: Agency Swarm
Issue #151: Duplicate call_ids Submitted When Calling Tool Multiple Times Causes openai.BadRequestError
Overall, these insights suggest that while there is active engagement from users seeking improvements and clarifications, addressing these key issues promptly will be essential for maintaining momentum and satisfaction within the community.
The analysis of the pull requests (PRs) for the VRSEN/agency-swarm repository reveals a total of 8 open PRs, primarily focusing on enhancing functionality, improving code readability, and fixing bugs. The repository has a mix of contributions from various developers, indicating active community engagement.
PR #157: Increase max_retries from 5 to 10
genesis command. Introduces a mechanism to handle "rate limit exceeded" errors with a proposed exponential backoff strategy.PR #155: Simplified add_tool for improved readability
add_tool function, which is crucial for maintainability and future development.PR #154: Fixed unnecessary close statement in file context handler
PR #153: Fixed incorrect print statement
PR #146: Browser agent fix
PR #144: Add support for zip, tar.gz, and git repo uploading as files
PR #70: Remove requirement-already-satisfied output from genesis_agency notebook
PR #6: Create SECURITY.md
The current state of open pull requests in the VRSEN/agency-swarm repository reflects a proactive approach towards enhancing both functionality and usability. Notably, PRs like #157 and #144 indicate an ongoing effort to improve user experience by addressing common issues such as rate limiting and file handling. The introduction of features like exponential backoff in PR #157 demonstrates a thoughtful approach to error handling that aligns with best practices in API usage.
A significant portion of the open PRs (specifically those created by FPSteiner) focuses on code quality improvements through simplifications and bug fixes. This trend suggests a strong emphasis on maintainability within the codebase, which is crucial as the project scales. The consistent contributions from FPSteiner highlight an active engagement in refining existing functionalities rather than just adding new features.
Moreover, PR #146 showcases an expansion of capabilities within the Browsing Agent, which is vital for enhancing the overall functionality of the agency swarm framework. This aligns with the project's goal of creating versatile AI agents capable of performing complex tasks autonomously.
However, it is worth noting that while there are several open PRs that address important issues or introduce new features, there is also a backlog of older PRs that have not yet been merged or reviewed. For instance, PR #70 has been open for over seven months without any indication of merging or further discussion. This could indicate potential bottlenecks in the review process or resource constraints within the development team.
Additionally, there is an observable trend where multiple PRs focus on fixing typos or improving documentation (e.g., PRs #136, #135). While these contributions are valuable for overall project quality, they may also suggest that there could be a need for more rigorous initial reviews or automated linting tools to catch such issues before they reach the PR stage.
In conclusion, while the current set of open pull requests reflects a vibrant and engaged community contributing to meaningful enhancements in functionality and usability, attention should be given to improving the review process to ensure timely integration of these contributions. Addressing this could enhance developer morale and maintain momentum within the project’s development cycle.
agency_swarm/threads/thread.py. agency_swarm/util/files.py.agency_swarm/agency/agency.py, agency_swarm/util/__init__.py, and agency_swarm/util/files.py.agency_swarm/agency/agency.py and agency_swarm/util/files.py.agency_swarm/threads/thread.py.pyproject.toml, requirements.txt, and setup.py.agency_swarm/tools/BaseTool.py.agency_swarm/util/oai.py.The development team, led by Arsenii Shatokhin, is actively engaged in refining the Agency Swarm project through consistent bug fixes and feature enhancements. The focus on stabilizing the application while improving functionality reflects a methodical approach to software development.