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GitHub Repo Analysis: ComposioHQ/composio


Executive Summary

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.

Recent Activity

Team Members and Activities

  1. Prathit (Prat011):

    • Added local audio processing tools.
    • Fixed smolagents plugin issues.
  2. Siddharth Balyan (alt-glitch):

    • Rewrote documentation using Fern.
    • Added JavaScript framework documentation.
  3. Abhishek Patil (abhishekpatil4):

    • Added Together AI plugin.
    • Updated README with new assets.
  4. Viraj (angrybayblade):

    • Released versions v0.7.5 and v0.7.6.
    • Improved MCP server support.
  5. Samvit Jatia (sjd9021):

    • Fixed auth schemes issue.
  6. Shrey Singla (shreysingla11):

    • Addressed pydantic version pinning issues.
  7. Karan Vaidya (kaavee315):

    • Updated tracing functionalities.
  8. Apoorv Taneja (plxity):

    • Enhanced global tracing capabilities.
  9. Utkarsh Dixit (utkarsh-dixit):

    • Worked on MCP command updates.
  10. Devanshu Kumar Singh (Devanshusisodiya):

    • Fixed toolset connection issues.

Recent Pull Requests

Risks

Of Note

  1. Community Engagement Discrepancy: Despite high star count, low watcher engagement suggests passive interest rather than active participation.
  2. Extensive Repository Size: At 924 MB, the repository's size may pose challenges for new contributors or users with limited bandwidth.
  3. License Ambiguity: The unspecified "Other" license could create legal uncertainties for users or contributors seeking clarity on usage rights.

Quantified Reports

Quantify issues



Recent GitHub Issues Activity

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.

Rate pull requests



2/5
This pull request is primarily a test to verify workflow exclusions for documentation changes, and it will be closed without merging. The changes involve redundant conditions in the workflow configuration, which could lead to unexpected behavior. Although the purpose of the PR is clear, its significance is limited as it doesn't contribute directly to the codebase or functionality improvements. The redundancy issue pointed out in the review comments further detracts from its quality.
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2/5
This pull request is primarily a test to verify workflow exclusions and is not intended for merging. It introduces redundant conditions in the workflow configuration, as noted by a review comment, which can lead to inconsistent behavior. The changes are minor and mostly involve adding a test file and updating workflow triggers, which are not significant improvements to the codebase. Overall, the PR lacks substantial impact or quality enhancements.
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2/5
This pull request is primarily a test to verify workflow triggers and will not be merged. It introduces minimal changes, adding a test file and updating workflow conditions. While it serves its purpose, the PR is insignificant in terms of code quality or impact, and does not warrant a higher rating.
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2/5
The pull request introduces documentation for JavaScript framework integrations, which is a valuable addition. However, it contains multiple critical issues identified by the review bot, such as undefined variables, syntax errors, incorrect success messages, and package name errors. These issues indicate insufficient testing and review before submission. The presence of these flaws significantly detracts from the quality of the PR, necessitating a rating of 2, as it needs substantial work to address these problems.
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3/5
The pull request introduces a new feature by creating separate axios instances for each Composio instance, which enhances client isolation and security. However, it has notable flaws: several critical error handling tests are skipped without justification, risking hidden issues; there's no cleanup mechanism for axios instances, potentially causing memory leaks; and error handling is inconsistent across classes. While the code quality and security aspects are commendable, these issues prevent a higher rating. The PR is average with room for improvement in testing and resource management.
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3/5
The pull request makes a minor but sensible improvement by relocating the lock file to a cache directory, enhancing file organization and reducing clutter in working directories. However, the change is minimal, involving only a single line modification without addressing potential migration issues for existing lock files. While it improves system cleanliness, it lacks significant impact or complexity, and additional steps like documentation updates and migration handling are suggested but not implemented. Thus, it is an average PR with room for enhancement.
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3/5
This pull request addresses a specific issue by adding missing packages to the requirements file, which is necessary for the functionality of the resume matching example. The change is straightforward and corrects an oversight, but it is not particularly significant or complex. It involves a minor update to a configuration file without any additional code changes or improvements. Therefore, it is an average update that resolves a specific problem without introducing new features or enhancements.
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3/5
The pull request introduces a practical improvement by optimizing workflow triggers to prevent unnecessary test runs, which can save resources and time. However, the changes are relatively minor and straightforward, involving only configuration adjustments without any complex logic or significant code development. The update is useful but not groundbreaking, fitting the description of an average, unremarkable change. Therefore, it merits a rating of 3.
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3/5
The pull request updates documentation to replace pipenv with uv for Python environment management, which is a straightforward change. While it improves the documentation by providing detailed instructions and adds a new section on package management with uv, it is primarily a documentation update with no significant code changes or enhancements to functionality. The PR is well-executed but lacks the impact or complexity that would warrant a higher rating.
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4/5
This pull request introduces a new feature by adding documentation for integrating Composio with Together AI, which is a significant addition to the project. The changes are well-organized, with clear instructions and examples, enhancing the usability of the software. The PR includes updates to multiple files, demonstrating thoroughness. However, it primarily focuses on documentation rather than code changes, which slightly limits its impact. Overall, it's a quite good contribution but lacks the depth or complexity that would warrant a higher rating.
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Quantify commits



Quantified Commit Activity Over 14 Days

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

Quantify risks



Project Risk Ratings

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.

Detailed Reports

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Recent Activity Analysis

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.

Anomalies and Themes

  • Integration Challenges: Several issues (#1393, #1345, #1339) highlight difficulties with tool integrations such as VercelToolSet and Gmail, suggesting potential areas for improvement in compatibility or documentation.
  • Bug Reports: Issues like #1386 and #1355 indicate recurring bugs in the TypeScript SDK and documentation errors, pointing to the need for more robust testing and clearer guides.
  • Feature Requests: There is a strong demand for new features (#1391, #1388), including enhanced project capabilities and new SDK functionalities, showcasing user interest in expanding the tool's capabilities.
  • Unresolved Urgent Issues: Some critical issues like #1345 regarding Gmail errors remain open without recent updates, which could impact users relying on these functionalities.
  • Commonalities: Many issues revolve around integration with third-party services (e.g., Gmail, Zoom), suggesting that while Composio offers extensive integration support, maintaining seamless interoperability remains a challenge.

Issue Details

Recently Created Issues

  1. #1395: Does Support DeepSeek

    • Priority: Not specified
    • Status: Open
    • Created: 1 day ago
    • Comments: Indicates compatibility with DeepSeek.
  2. #1393: Update VercelToolSet to support streamText() method

    • Priority: Not specified
    • Status: Open
    • Created: 1 day ago
  3. #1391: 🚀 Feature: requests channel

    • Priority: Not specified
    • Status: Open
    • Created: 2 days ago

Recently Updated Issues

  1. #1355: Issue on docs

    • Priority: Not specified
    • Status: Open
    • Created: 14 days ago
    • Updated: 11 days ago
  2. #1345: Errors with Gmail with LangChain starter code

    • Priority: Not specified
    • Status: Open
    • Created: 17 days ago
    • Updated: 11 days ago
  3. #1228: Bug in example for swekit

    • Priority: Not specified
    • Status: Open
    • Created: 39 days ago
    • Updated: 4 days ago

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.

Report On: Fetch pull requests



Pull Request Analysis for ComposioHQ/composio

Open Pull Requests

PR #1411: Test Workflow Exclusion for Docs Directory

  • State: Open
  • Created by: devin-ai-integration[bot]
  • Summary: This PR is a test to verify that no workflows are triggered when changes are made to the docs directory or markdown files. It will be closed without merging.
  • Notable Comments:
    • entelligence-ai-pr-reviews[bot]: Points out redundancy in paths-ignore and if conditions, suggesting a cleaner configuration.
  • Issues: Redundant configurations could lead to unexpected behavior. Needs cleanup before closure.

PR #1410: Test Workflow Exclusion for Fern Directory

  • State: Open
  • Created by: devin-ai-integration[bot]
  • Summary: Similar to #1411, this PR tests workflow exclusions for the fern directory.
  • Notable Comments:
    • entelligence-ai-pr-reviews[bot]: Highlights redundancy in path filtering logic.
  • Issues: Same as #1411, redundant configurations need addressing.

PR #1409: Verify SWE Workflow Trigger

  • State: Open
  • Created by: devin-ai-integration[bot]
  • Summary: Tests if the SWE workflow is triggered by changes in the python/swe directory.
  • Issues: None significant, but it is a non-merging test PR.

PR #1408: Update Workflow Triggers for SWE Tests and Fern Directory

  • State: Open
  • Created by: devin-ai-integration[bot]
  • Summary: Updates GitHub workflow to run SWE tests only on relevant changes and prevent unnecessary triggers.
  • Issues: None noted, but it's crucial for optimizing CI/CD processes.

PR #1407: Add Together AI Docs

  • State: Open
  • Created by: Abhishek Patil
  • Summary: Introduces documentation for Together AI integration.
  • Issues: None significant, documentation enhancement.

PR #1405: JavaScript Framework Documentation Update

  • State: Open
  • Created by: Siddharth Balyan
  • Summary: Adds documentation for JavaScript framework integrations.
  • Notable Comments:
    • Multiple suggestions from entelligence-ai-pr-reviews[bot] on code improvements and error handling.
  • Issues: Several code quality improvements suggested, indicating potential runtime errors if not addressed.

Recently Closed Pull Requests

PR #1389: Add Missing Packages in Resume Matching Example

  • State: Closed
  • Created by: hung_ng__
  • Summary: Added missing packages to ensure functionality of the resume matching example.
  • Resolution: Successfully merged after adding necessary dependencies.

PR #1382 & #1381 & #1379 (Axios Instance Creation)

  • These related PRs focus on creating new Axios instances for each Composio instance to improve isolation and error handling.
  • Notable issues included skipped error handling tests and missing cleanup mechanisms which were highlighted in reviews.

Notable Issues Across Pull Requests

  1. Redundant Configurations in Workflows (#1411, #1410):

    • Redundancies in path filtering logic could lead to unexpected behavior. These need cleanup before closure.
  2. Error Handling and Code Quality (#1405, #1381):

    • Several suggestions indicate potential runtime errors due to undefined variables or incorrect configurations. Addressing these is crucial for maintaining code robustness.
  3. Documentation Updates (#1407, #1405):

    • Enhancements in documentation are ongoing, which is vital for user guidance and integration support.
  4. Dependency Management (#1389):

    • Ensuring all necessary packages are included is critical for example functionality and user experience.

Recommendations

  1. Prioritize cleaning up redundant configurations in workflow-related PRs to prevent future issues.
  2. Address code quality suggestions promptly to avoid runtime errors and improve maintainability.
  3. Continue enhancing documentation to support user adoption and integration efforts.
  4. Regularly review dependency lists to ensure completeness and compatibility across examples and core functionalities.

Overall, the project shows active development with a focus on improving workflows, enhancing documentation, and ensuring robust integration capabilities.

Report On: Fetch Files For Assessment



Source Code Assessment

1. docs/scripts/generate_api_documentation.py

  • Purpose: This script is designed to generate API documentation for the Composio SDK.
  • Structure and Quality:
    • The script uses Python's ast module to parse Python files and extract documentation from docstrings and other metadata.
    • It includes a class MDX for formatting content in MDX format, which is used for documentation.
    • Functions like handle_file, handle_dir, and main are well-structured to handle file and directory processing recursively.
    • Error handling is present but could be more granular to provide specific feedback on different types of errors.
    • The script is lengthy (542 lines), but it is modularized with clear function definitions.
    • There are some duplicated functions (parse_docstring) that could be refactored for clarity.
  • Recommendations:
    • Consider breaking down the script into smaller modules or classes for better maintainability.
    • Improve error handling to differentiate between possible error cases.

2. python/plugins/togetherai/composio_togetherai/toolset.py

  • Purpose: This file is part of the Together AI plugin, providing a toolset for integrating with the Together AI framework.
  • Structure and Quality:
    • The class ComposioToolSet extends a base toolset class and overrides methods to adapt them for Together AI.
    • Methods like validate_entity_id, get_tools, and execute_tool_call are well-defined with clear parameter documentation.
    • The use of type hints throughout the file enhances readability and maintainability.
    • The file is concise (146 lines) and focuses on core functionalities without unnecessary complexity.
  • Recommendations:
    • Ensure consistent error handling across all methods, especially where external inputs are processed.

3. fern/docs.yml

  • Purpose: This YAML file configures documentation settings, including navigation structure, analytics, and styling.
  • Structure and Quality:
    • The file is well-organized with clear sections for instances, analytics, colors, typography, layout, navigation, etc.
    • It uses environment variables for sensitive data like API keys, which is a good practice.
    • The navigation structure is detailed, providing a comprehensive guide to the documentation layout.
  • Recommendations:
    • Regularly review and update redirects to ensure they remain relevant as the documentation evolves.

4. python/composio/client/collections.py

  • Purpose: This file handles client-side logic for managing collections of server objects in Composio.
  • Structure and Quality:
    • The file defines multiple data models using Pydantic's BaseModel, which aids in data validation and serialization.
    • It includes several collection classes (ConnectedAccounts, Apps, Triggers) that encapsulate operations related to these entities.
    • The use of type hints and Pydantic models improves code clarity and robustness against invalid data inputs.
    • At 1651 lines, the file is extensive but logically structured into sections based on functionality.
  • Recommendations:
    • Consider splitting this file into smaller modules based on logical groupings (e.g., separate files for accounts, apps, triggers) to enhance maintainability.

5. .github/workflows/publish_docs.yml

  • Purpose: This GitHub Actions workflow automates the publishing of documentation upon changes to the master branch.
  • Structure and Quality:
    • The workflow uses standard GitHub Actions syntax with clear steps for checking out the repository, installing dependencies, and running the documentation generation command.
    • Conditional execution based on branch name and run number ensures it only triggers under specific circumstances.
  • Recommendations:
    • Ensure secrets like FERN_TOKEN are securely managed in GitHub Secrets.

6. js/src/sdk/index.ts

  • Purpose: Central file for the JavaScript SDK providing core functionalities for interacting with Composio services.
  • Structure and Quality:
    • The main class Composio encapsulates SDK initialization logic and provides access to various models (e.g., actions, triggers).
    • TypeScript's type system is leveraged effectively to define interfaces and types for method parameters and return values.
    • Methods like checkForLatestVersionFromNPM demonstrate proactive version management by checking against NPM registry updates.
  • Recommendations:
    • Maintain consistency in logging practices across methods to aid in debugging and monitoring.

7. python/setup.py

  • Purpose: Setup configuration for installing the Composio core package using setuptools.
  • Structure and Quality:
    • The script defines package metadata, dependencies, entry points, and additional package data scanning logic.
    • Dependencies are categorized into core requirements and optional extras, facilitating flexible installation configurations.
  • Recommendations:
    • Regularly update dependency versions to incorporate security patches and new features.

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.

Report On: Fetch commits



Development Team and Recent Activity

Team Members and Activities

Prathit (Prat011)

  • Worked on adding a local audio processing tool with features like transcription, analysis, and effects.
  • Fixed issues in the smolagents plugin and added a loan underwriting agent.
  • Collaborated with Viraj on the smol agent plugin.

Siddharth Balyan (alt-glitch)

  • Rewrote documentation and switched to using Fern for documentation purposes.
  • Added JavaScript framework documentation for Composio integrations.
  • Collaborated with mintlify[bot] on MCP Docs.

Abhishek Patil (abhishekpatil4)

  • Added Together AI plugin and documentation.
  • Restructured documentation and updated README with new assets.
  • Collaborated with Viraj and ellipsis-dev[bot] on various tasks.

Viraj (angrybayblade)

  • Released versions v0.7.5 and v0.7.6, fixed property title issues, and pinned dependencies.
  • Worked on MCP server support and local tools caching improvements.
  • Collaborated with multiple team members including Abhishek Patil and Devanshu Kumar Singh.

Samvit Jatia (sjd9021)

  • Fixed missing available auth schemes issue.

Shrey Singla (shreysingla11)

  • Fixed issues related to pydantic version pinning and connected account bugs.

Karan Vaidya (kaavee315)

  • Allowed tracing to get log and session ID, updated calendly links in Py SDK logs.

Apoorv Taneja (plxity)

  • Added global level tracing, allowed tracing in toolset, and added props for controlling tracing.

Utkarsh Dixit (utkarsh-dixit)

  • Worked on MCP command for Claude/Windsurf, node 16 fixes, and backend client updates.
  • Collaborated with Devanshu Kumar Singh on various tasks.

Devanshu Kumar Singh (Devanshusisodiya)

  • Fixed issues with initiate_connection on toolset, enum iterators, and API key wrapper.
  • Worked on v1-v2 shift and ENG-2885 branches.

Patterns, Themes, and Conclusions

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.