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
Jacob Weiss		4	5/4/0	11	24	5445
Ashpreet		3	2/2/0	19	50	859
Islam Nofl		1	1/1/0	3	9	272
Yash Pratap Solanky		4	4/6/0	9	14	151
Ayush Chaurasia (AyushExel)		1	1/0/0	4	3	112
Thierry Rochelet		1	0/0/0	1	2	101
William Espegren		1	3/2/0	1	1	3
XiruiYU		1	1/1/0	1	1	2
Blake Johnson (blake41)		0	0/1/0	0	0	0
Tanveer Iqbal (tqiqbal)		0	0/1/0	0	0	0
Anurag (anuragts)		0	0/1/0	0	0	0
BOBOTANG (JavanTang)		0	1/0/0	0	0	0
Sami Finnilä (MB-Finski)		0	1/0/0	0	0	0
gary318 (GuanYixuan)		0	1/0/0	0	0	0
Joel L. (Joelius300)		0	1/0/0	0	0	0
None (GuanyiLi-Craig)		0	1/0/0	0	0	0
Thierry Napspirit (ThierryNapspirit)		0	1/1/0	0	0	0
Kevin Zhang (KevinZhang19870314)		0	1/0/0	0	0	0
siddharth Sambharia (siddharthsambharia-portkey)		0	0/1/0	0	0	0

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

Report On: Fetch issues

Recent Activity Analysis

The GitHub repository for Phidata has seen a steady stream of activity, with 60 open issues currently logged. Recent issues indicate a mix of feature requests, bug reports, and inquiries about functionality, reflecting ongoing user engagement and the evolving nature of the project. Notably, several issues highlight challenges with tool integration and model compatibility, suggesting potential areas for improvement in user experience and documentation.

A recurring theme among the recent issues is the integration of various tools and models, particularly concerning their functionality and expected behavior. Users are expressing concerns about discrepancies between expected outcomes and actual performance, especially in relation to function calling and tool usage. This indicates a potential need for clearer documentation and more robust testing before releases.

Issue Details

Most Recently Created Issues

1. Issue #1098: Workspace supports custom stages

   • Priority: Normal
   • Status: Open
   • Created: 1 day ago
   • Updated: N/A
   • Description: Request to add support for custom workspace stages beyond the built-in ones.

2. Issue #1096: Cannot use non-vectorstore retrievers in LangChainKnowledgeBase

   • Priority: High
   • Status: Open
   • Created: 1 day ago
   • Updated: N/A
   • Description: Issue with using basic retrievers due to instance checks preventing functionality.

3. Issue #1093: A feature of filters is missing from assistant

   • Priority: Normal
   • Status: Open
   • Created: 3 days ago
   • Updated: N/A
   • Description: Suggestion to implement a filtering feature in the assistant's knowledge base retrieval process.

4. Issue #1091: How to set debug_mode in runtime when using Assistant?

   • Priority: Low
   • Status: Open
   • Created: 4 days ago
   • Updated: N/A
   • Description: Inquiry about dynamically setting debug mode during runtime.

5. Issue #1089: AttributeError: 'NoneType' object has no attribute 'model_dump'

   • Priority: High
   • Status: Open
   • Created: 5 days ago
   • Updated: 4 days ago
   • Description: Error encountered while running an example with the Together embedder.

Most Recently Updated Issues

1. Issue #1085: Tools and Function Calls Not Working in OpenAILike Mode

   • Priority: High
   • Status: Open
   • Created: 10 days ago
   • Updated: 0 days ago (edited)
   • Description: Function calls not operational in OpenAILike mode, despite working in Ollama mode.

2. Issue #1080: Error after 4 to 5 queries input

   • Priority: Normal
   • Status: Open
   • Created: 16 days ago
   • Updated: 13 days ago (edited)
   • Description: Encountered an error when running multiple queries continuously.

3. Issue #1079: Why the same python tools run many times?

   • Priority: Normal
   • Status: Open
   • Created: 17 days ago
   • Updated: 12 days ago (edited)
   • Description: Concern regarding excessive tool calls leading to increased token usage.

4. Issue #1077: Inconsistency in output_model parameter.

   • Priority: Normal
   • Status: Open
   • Created: 18 days ago
   • Updated: 17 days ago (edited)
   • Description: Inconsistent output format when using Pydantic schema for structured output.

5. Issue #1071: Ollama: Wrong user message repeated in prompt as the latest user message

   • Priority: Normal
   • Status: Open
   • Created: 20 days ago
   • Updated: N/A
   • Description: Issue with chat history where the wrong user message is repeated as the latest prompt.

Themes and Commonalities

The recent issues reflect several common themes:

• Integration Challenges: Many users are facing difficulties integrating various tools and models, particularly around function calling and expected behavior.
• Feature Requests: There are multiple requests for enhancements, such as custom stages in workspaces and additional filtering capabilities.
• Error Reporting: Users are reporting specific errors related to object attributes and function calls, indicating potential bugs or gaps in functionality.
• Documentation Needs: Several inquiries suggest that users are struggling to understand how to effectively utilize certain features, pointing towards a need for improved documentation or examples.

Overall, these insights highlight both user engagement with the Phidata project and areas where improvements could enhance usability and functionality.

Report On: Fetch pull requests

Report on Pull Requests

Overview

The repository phidatahq/phidata currently has 28 open pull requests (PRs), showcasing a variety of enhancements, bug fixes, and feature additions aimed at improving the functionality and usability of the Phidata framework for building autonomous AI assistants.

Summary of Pull Requests

Open Pull Requests

• PR #1099: Resolves the discrepancy between LanceDb.create and other VectorDb.create methods by ensuring that the table is created only if it does not exist. This change is crucial to prevent data loss during data loading processes.

• PR #1097: Relaxed instance check from VectorStoreRetriever to BaseRetriever, allowing for greater flexibility in retriever types. This is the contributor's first PR, indicating a new addition to the community.

• PR #1095: Fixes a bug related to the Ollama function call, enhancing the reliability of function execution within the framework.

• PR #1094: Introduces a filters function for the assistant, expanding its search capabilities and making it more versatile in handling queries.

• PR #1092: Adds functionality to set debug mode at runtime, which aids developers in troubleshooting and improving code quality.

• PR #1090: Addresses an issue with OpenAI embedder usage, ensuring correct functionality and integration with external APIs.

• PR #1088: Implements a custom streaming function for AzureOpenAIChat to handle token usage details during streaming operations, addressing a known limitation.

• PR #1086: Adds support for DeepSeek, enabling users to leverage this tool within the Phidata framework.

• PR #1082: Introduces a clean messages function to limit tool call results in messages, enhancing message management within responses.

• PR #1081: Adds hybrid search and reranking support in LanceDB vectorstore, significantly improving search capabilities.

• PR #1072: Fixes an issue with appending user messages when using Ollama, improving interaction accuracy.

• PR #1069: Enhances UI and error handling for the research assistant, improving user experience and robustness.

• PR #1061: Provides cookbook examples for Pinecone integration, facilitating easier adoption of this technology within Phidata.

• PR #1040: Updates instructions in the README to return JSON objects correctly, enhancing documentation clarity.

Closed Pull Requests

Numerous PRs have been successfully merged, including significant features like hybrid search capabilities (PR #1073) and improvements to existing tools (e.g., PRs related to Ollama and Claude). These contributions reflect ongoing enhancements to the framework's functionality and user experience.

Analysis of Pull Requests

The current set of open pull requests highlights several key themes within the Phidata project:

1. Bug Fixes and Reliability Improvements: A significant number of recent PRs focus on fixing bugs that could lead to data loss or incorrect behavior. For example, PR #1099 addresses a critical issue where LanceDb.create would overwrite existing tables, potentially discarding important data. Similarly, PR #1095 resolves a function call bug that could disrupt normal operations. Such fixes are essential for maintaining user trust and ensuring that developers can rely on the framework for production-level applications.

2. Feature Enhancements: Many PRs introduce new functionalities that enhance user experience. The addition of filtering capabilities (PR #1094) and hybrid search support (PR #1081) are notable examples that expand the assistant's capabilities significantly. This trend indicates an active effort by contributors to make Phidata more versatile and powerful for various use cases.

3. Community Engagement and Contributions: The presence of first-time contributors like Joel L. (PR #1097) suggests that Phidata is fostering a welcoming environment for new developers. This is crucial for sustaining long-term growth and innovation within the project. The community's involvement in discussions about PRs also reflects a collaborative spirit that can lead to higher-quality contributions.

4. Documentation and Usability Improvements: Several PRs aim to improve documentation or usability features, such as allowing runtime debug mode settings (PR #1092) or updating README instructions (PR #1040). These changes are vital for onboarding new users and ensuring that existing users can leverage all features effectively without confusion.

5. Integration with External Tools: The integration of tools like AzureOpenAIChat (PR #1088) and DeepSeek (PR #1086) showcases an ongoing effort to expand Phidata's ecosystem by incorporating popular technologies. This not only enhances functionality but also positions Phidata as a competitive option among frameworks designed for AI assistants.

In conclusion, the current landscape of pull requests in the Phidata repository demonstrates a vibrant development community focused on enhancing functionality, fixing critical issues, and improving user experience through thoughtful contributions. As these changes are implemented, they will likely lead to a more robust framework capable of meeting diverse user needs in building autonomous AI assistants.

Report On: Fetch commits

Repo Commits Analysis

Development Team and Recent Activity

Team Members and Recent Activities

1. Ashpreet (ashpreetbedi)

   • Recent Activity:
   • Committed 19 times, contributing 859 changes across 50 files.
   • Worked on multiple features including the addition of a new example for "Mixture of Agents" and various bug fixes related to the Ollama tool.
   • Collaborated with Jacob Weiss on the "Mixture of Agents" example, which involved substantial additions to the codebase.
   • Merged several pull requests including updates to the Pinecone hybrid search and fixes for infinite loops in the Ollama structured output.
   • In Progress: Ongoing work in branches related to OpenAI embedder usage and structured output.

2. Jacob Weiss (jacobweiss2305)

   • Recent Activity:
   • Made 11 commits with 5445 changes across 24 files, indicating significant contributions particularly to the "Mixture of Agents" example.
   • Collaborated with Ashpreet on adding new features and examples, specifically in advanced RAG implementations.
   • In Progress: Active work on branches involving updates to Claude and Pinecone integrations.

3. Yash Pratap Solanky (ysolanky)

   • Recent Activity:
   • Completed 9 commits with 151 changes across 14 files.
   • Focused on bug fixes for OpenAI embedder usage and Azure OpenAI streaming issues.
   • Contributed to limiting tool call results in messages and made updates across multiple branches.
   • In Progress: Ongoing work in branches related to Azure OpenAI and structured output.

4. William Espegren (WilliamEspegren)

   • Recent Activity:
   • Contributed 1 commit with 3 changes, primarily focused on integrating new tools into the project.
   • Involved in several pull requests but with limited recent activity compared to others.
   • In Progress: Active participation in multiple branches.

5. CorrM (Islam Nofl)

   • Recent Activity:
   • Made 3 commits with 272 changes across 9 files, focusing on fixing bugs related to Ollama's structured output.
   • Collaborated closely with Ashpreet on merging fixes and enhancements.
   • In Progress: Engaged in ongoing improvements for Ollama.

6. Thierry Rochelet

   • Recent Activity:
   • Made a single commit adding significant content (101 changes) related to Google search tools.
   • In Progress: No ongoing activities reported.

7. Ayush Chaurasia (AyushExel)

   • Recent Activity:
   • Contributed 4 commits with 112 changes focusing on updates to various components within the project, particularly around LanceDB.
   • In Progress: Active work on LanceDB-related updates.

Patterns, Themes, and Conclusions

• Active Collaboration: There is a notable pattern of collaboration among team members, especially between Ashpreet and Jacob Weiss, who are working together on significant features like the "Mixture of Agents."
• Focus on Bug Fixes and Enhancements: The recent activity highlights a strong focus on fixing bugs, particularly related to tool integration (e.g., OpenAI embedder issues) and improving existing functionalities such as Ollama's structured output handling.
• Branch Utilization: Multiple active branches indicate ongoing development efforts across various features and bug fixes, suggesting a dynamic workflow where team members are addressing both immediate issues and long-term enhancements concurrently.
• High Volume Contributions by Key Members: Ashpreet remains a central figure in the development process, contributing significantly more than other members, which may indicate a leadership role or primary responsibility for critical components of the project.

Overall, the development team is actively engaged in enhancing Phidata's capabilities while addressing bugs effectively, showcasing a collaborative environment focused on continuous improvement.