The Composio project, developed by ComposioHQ, is a versatile toolset designed to enhance AI agents and large language models (LLMs) through over 100 integrations. The project is actively maintained and has gained significant community traction with over 23,000 stars on GitHub. Despite its success, the project faces challenges in integration stability and documentation clarity.
Prathit (Prat011):
Siddharth Balyan (alt-glitch):
Abhishek Patil (abhishekpatil4):
Viraj (angrybayblade):
Samvit Jatia (sjd9021):
Shrey Singla (shreysingla11):
Karan Vaidya (kaavee315):
Apoorv Taneja (plxity):
Utkarsh Dixit (utkarsh-dixit):
Devanshu Kumar Singh (Devanshusisodiya):
Timespan | Opened | Closed | Comments | Labeled | Milestones |
---|---|---|---|---|---|
7 Days | 7 | 0 | 1 | 5 | 1 |
30 Days | 70 | 66 | 20 | 68 | 1 |
90 Days | 125 | 121 | 92 | 123 | 1 |
All Time | 230 | 215 | - | - | - |
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 |
---|---|---|---|---|---|---|
Siddharth Balyan | ![]() |
2 | 4/2/1 | 4 | 87 | 21153 |
Utkarsh Dixit | ![]() |
2 | 2/1/0 | 18 | 33 | 6806 |
Viraj | ![]() |
3 | 5/3/2 | 15 | 39 | 1256 |
None (devin-ai-integration[bot]) | 6 | 7/0/1 | 16 | 31 | 1081 | |
Abhishek Patil | ![]() |
3 | 6/4/1 | 8 | 11 | 722 |
Prathit | ![]() |
2 | 4/2/3 | 4 | 11 | 547 |
Devanshu Kumar Singh (Devanshusisodiya) | 2 | 1/0/0 | 19 | 5 | 188 | |
mintlify[bot] | ![]() |
1 | 1/1/0 | 1 | 2 | 85 |
Apoorv Taneja | ![]() |
1 | 4/4/0 | 4 | 11 | 82 |
Samvit Jatia | ![]() |
1 | 1/1/0 | 1 | 1 | 42 |
tushar-composio | ![]() |
1 | 0/0/0 | 1 | 3 | 33 |
Shrey Singla | ![]() |
1 | 3/4/0 | 4 | 7 | 31 |
Himanshu Dixit | ![]() |
2 | 2/1/1 | 4 | 3 | 23 |
Karan Vaidya | ![]() |
1 | 2/1/0 | 1 | 4 | 14 |
random | ![]() |
1 | 0/0/0 | 1 | 1 | 2 |
dependabot[bot] | ![]() |
1 | 0/0/0 | 1 | 1 | 2 |
Connor Shorten (CShorten) | 0 | 1/0/1 | 0 | 0 | 0 | |
hung_ng__ (hung-ngm) | 0 | 1/0/0 | 0 | 0 | 0 | |
None (lingalarahul7) | 0 | 2/0/0 | 0 | 0 | 0 | |
None (aiswaryasankar) | 0 | 1/0/0 | 0 | 0 | 0 |
PRs: created by that dev and opened/merged/closed-unmerged during the period
Risk | Level (1-5) | Rationale |
---|---|---|
Delivery | 3 | The project shows active engagement with a steady flow of new feature requests and bug reports, indicating ongoing development. However, unresolved issues like #1386 and #1355 suggest persistent bugs and documentation gaps that could impact delivery if not addressed promptly. The minimal use of milestones may reflect a lack of long-term planning, which could affect delivery if not managed effectively. |
Velocity | 3 | The project exhibits strong development activity with significant contributions from key developers. However, the reliance on a few contributors for major changes poses risks if these individuals become unavailable. The presence of redundant configurations in workflow PRs like #1411 and #1410 could lead to inefficiencies, impacting velocity. |
Dependency | 4 | The project's extensive integration with over 250 tools and systems poses significant dependency risks. Issues like #1345 highlight challenges with third-party services such as Gmail, which could impact functionality if not managed effectively. The reliance on automated bots for integration also introduces potential risks if these tools fail. |
Team | 3 | The team demonstrates effective collaboration with consistent commit activity and co-authored contributions. However, the limited comments on issues suggest possible communication gaps or streamlined processes that might overlook collaborative problem-solving, potentially leading to burnout or conflict. |
Code Quality | 3 | While the code quality is generally decent with good separation of concerns, issues in PRs like #1405 with undefined variables and syntax errors indicate areas needing improvement. The lack of thorough documentation detracts from overall quality, potentially hindering team velocity. |
Technical Debt | 4 | The presence of unresolved bugs in issues like #1386 and skipped error handling tests in PRs like #1381 suggest accumulating technical debt. Frequent changes to files like 'collections.py' without thorough review could increase complexity and maintenance challenges over time. |
Test Coverage | 4 | The absence of comprehensive test coverage is implied by skipped error handling tests in PRs like #1381 and insufficient testing before submissions as seen in PR #1405. This poses a risk to both code quality and error handling as errors may go unnoticed until they cause significant problems. |
Error Handling | 4 | Critical error handling tests are skipped in PRs like #1381, posing a risk to error handling reliability. Inconsistent error handling across classes further exacerbates this issue, suggesting a need for standardized practices to ensure robustness and maintainability. |
The Composio project has seen a steady flow of activity on its GitHub issues page, with a mix of new feature requests, bug reports, and user inquiries. Notably, there are several issues related to integration problems and feature enhancements, reflecting the project's ongoing development and community engagement. A significant number of issues have been closed recently, indicating active maintenance and resolution efforts by the team.
#1395: Does Support DeepSeek
#1393: Update VercelToolSet to support streamText() method
#1391: 🚀 Feature: requests channel
#1355: Issue on docs
#1345: Errors with Gmail with LangChain starter code
#1228: Bug in example for swekit
These details highlight ongoing efforts to address integration challenges and expand feature sets while also dealing with documentation and bug-related issues. The active engagement in resolving these issues reflects the project's commitment to improving user experience and functionality.
paths-ignore
and if
conditions, suggesting a cleaner configuration.Redundant Configurations in Workflows (#1411, #1410):
Error Handling and Code Quality (#1405, #1381):
Documentation Updates (#1407, #1405):
Dependency Management (#1389):
Overall, the project shows active development with a focus on improving workflows, enhancing documentation, and ensuring robust integration capabilities.
docs/scripts/generate_api_documentation.py
ast
module to parse Python files and extract documentation from docstrings and other metadata.MDX
for formatting content in MDX format, which is used for documentation.handle_file
, handle_dir
, and main
are well-structured to handle file and directory processing recursively.parse_docstring
) that could be refactored for clarity.python/plugins/togetherai/composio_togetherai/toolset.py
ComposioToolSet
extends a base toolset class and overrides methods to adapt them for Together AI.validate_entity_id
, get_tools
, and execute_tool_call
are well-defined with clear parameter documentation.fern/docs.yml
python/composio/client/collections.py
BaseModel
, which aids in data validation and serialization.ConnectedAccounts
, Apps
, Triggers
) that encapsulate operations related to these entities..github/workflows/publish_docs.yml
FERN_TOKEN
are securely managed in GitHub Secrets.js/src/sdk/index.ts
Composio
encapsulates SDK initialization logic and provides access to various models (e.g., actions, triggers).checkForLatestVersionFromNPM
demonstrate proactive version management by checking against NPM registry updates.python/setup.py
Overall, these files reflect a well-organized codebase with attention to detail in both functionality implementation and documentation configuration. Some areas could benefit from further modularization or enhanced error handling to improve maintainability and robustness.
The recent activities show a strong focus on documentation improvements, feature additions, bug fixes, and version releases. The team is actively collaborating across multiple branches to enhance the functionality of the Composio project. There is a significant emphasis on improving the user experience through better documentation, adding new plugins like Together AI, and ensuring robust integration capabilities with tools like MCP servers. The development process involves frequent collaboration among team members, as seen in co-authored commits. The team is also addressing technical debt by fixing bugs related to dependencies and authentication schemes. Overall, the development activities reflect a dynamic environment focused on continuous improvement and expansion of the project's capabilities.