Quantify commits

Quantified Commit Activity Over 30 Days

Developer	Avatar	Branches	PRs	Commits	Files	Changes
Lars Grammel		8	101/94/1	139	717	53175
github-actions[bot]		1	26/26/0	33	111	21770
Jeremy		3	9/7/1	22	97	14520
Nico Albanese		1	12/12/0	19	56	1615
None (dependabot[bot])		5	26/0/23	5	16	704
Jesús Ferretti		1	1/1/0	1	33	68
DB维一(s.y)		1	1/1/0	1	1	40
Gaspar Garcia Jr (gaspar09)		1	1/0/1	3	2	30
Jack Wilson		1	1/1/0	1	1	12
Dragan Aleksic		1	0/0/0	1	1	12
Shinya Fujino		1	1/1/0	1	4	9
Nikhil S		1	1/1/0	1	1	8
dhruv		1	1/1/0	1	4	8
Xin		1	1/1/0	1	1	2
Axel Rock		1	1/1/0	1	1	2
Vlad Kampov		1	0/0/0	1	1	2
Miguel Victor		1	1/1/0	1	1	2
Rishabh		1	0/0/0	1	1	2
theItalianDev		1	1/1/0	1	1	2
Alan Sunny (nalaso)		0	1/0/0	0	0	0
Johannes Waigel (waigel)		0	1/0/0	0	0	0
Derek (1orZero)		0	1/0/1	0	0	0
Grégoire Hertault (MrHertal)		0	1/0/0	0	0	0
Nicholas Sarvi (hawkrush)		0	1/0/1	0	0	0
jdavis (shoopapa)		0	1/0/0	0	0	0
Brian Hung (BrianHung)		0	2/0/2	0	0	0
Kaden Wilkinson (kdawgwilk)		0	1/0/1	0	0	0
Bhanu Prakash Korthiwada (BhanuNexus)		0	1/0/1	0	0	0
Derek Hsieh (derekyhsieh)		0	1/0/0	0	0	0
Lucas McGartland (lmcgartland)		0	1/0/1	0	0	0
Icaro Asas Virtuais (asasvirtuais)		0	1/0/0	0	0	0
Cody Brouwers		1	1/1/0	1	1	0
Vishal Saugat (vishalsaugat)		0	1/0/0	0	0	0

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

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.}

Report On: Fetch issues

Recent Activity Analysis

The Vercel AI SDK has seen a significant uptick in GitHub issue activity, with 168 open issues currently logged. Recent submissions highlight various bugs, feature requests, and enhancement proposals, indicating active engagement from the community. Notably, issues related to tool usage, error handling, and streaming responses are prevalent, suggesting ongoing challenges in these areas.

Several issues exhibit common themes, such as difficulties with tool integration and streaming data management. For instance, multiple users report problems with the streamText function not handling tool calls correctly or returning unexpected results. Additionally, there are recurring mentions of errors not being caught properly during streaming operations, which could lead to poor user experience and confusion.

Issue Details

Recently Created Issues

1. Issue #2709: Incorrect Link for Google Vertex AI

   • Priority: Low
   • Status: Open
   • Created: 0 days ago
   • Description: The link for Google Vertex AI in the documentation is incorrect.

2. Issue #2707: useChat not sending header options in request

   • Priority: High
   • Status: Open
   • Created: 0 days ago
   • Description: Headers (specifically "Authorization") are not being sent in requests when using useChat in VueJS.

3. Issue #2706: Server-managed state

   • Priority: Medium
   • Status: Open
   • Created: 1 day ago
   • Description: Discussion on managing server state effectively while using the AI SDK.

4. Issue #2705: Unable to render "tool running" for client-side tools

   • Priority: Medium
   • Status: Open
   • Created: 1 day ago
   • Description: Client-side tools do not render a "tool running" state as expected.

5. Issue #2698: Error processing an error response

   • Priority: High
   • Status: Open
   • Created: 1 day ago
   • Description: Errors from the OpenAI provider are not being reported correctly when status 429 occurs.

Recently Updated Issues

1. Issue #2667: Errors when transpiling

   • Priority: Bug
   • Status: Open
   • Last Updated: 3 days ago
   • Description: Errors encountered while transpiling TypeScript code using the SDK.

2. Issue #2656: AI_TypeValidationError error with streamText().toAIStream()

   • Priority: Bug
   • Status: Open
   • Last Updated: 3 days ago
   • Description: Type validation errors occur intermittently when using specific models.

3. Issue #2590: Make VercelAI SDK tracing fully compatible with OTEL GenAI semantic conventions

   • Priority: Enhancement
   • Status: Open
   • Last Updated: 10 days ago
   • Description: Request for improved compatibility with OpenTelemetry standards for better observability.

Common Themes and Observations

• A significant number of issues revolve around the functionality of tool calls within the SDK, particularly regarding how they interact with streaming responses and error handling.
• Users frequently report that errors during streaming are not handled gracefully, leading to confusion and potential data loss.
• There is a clear demand for better documentation and examples related to new features such as structured outputs and tool integrations.
• The community appears eager for enhancements that would allow for more flexibility in managing state and handling errors effectively, particularly in real-time applications where user experience is critical.

This analysis highlights both the vibrancy of community engagement around the Vercel AI SDK and the ongoing challenges developers face as they integrate AI capabilities into their applications.

Report On: Fetch pull requests

Report on Pull Requests for Vercel AI SDK

Overview

The Vercel AI SDK repository has an active pull request (PR) landscape, with a total of 51 open PRs and numerous recent contributions focused on enhancing functionality, fixing bugs, and updating dependencies. This report summarizes the latest PRs and analyzes the trends and themes emerging from these contributions.

Summary of Pull Requests

1. PR #2708: Bump react from 18.2.0 to 19.0.0-rc-1eaccd82-20240816

   • State: Open
   • Significance: Updates React to a release candidate version, which includes important deprecations and new features that may affect existing codebases.

2. PR #2703: docs: fix syntax error in code snippet

   • State: Open
   • Significance: A minor documentation fix that improves code clarity for contributors.

3. PR #2685: Bump eslint-config-turbo from 1.13.3 to 2.0.14

   • State: Open
   • Significance: Updates ESLint configuration, which is crucial for maintaining code quality and adherence to coding standards.

4. PR #2678: [prototype] language model v2 spec

   • State: Open
   • Significance: Drafting specifications for a new language model version, indicating ongoing development towards enhanced AI capabilities.

5. PR #2658: feat (provider/cohere): support tool calls

   • State: Open
   • Significance: Introduces support for tool calls in the Cohere provider, expanding functionality for users leveraging this provider.

6. PR #2632: [wip] restrict useChat output

   • State: Open
   • Significance: A work-in-progress aimed at refining the output of the useChat hook, indicating ongoing improvements in user interaction handling.

7. PR #2624: add more possible file types in attachments

   • State: Open
   • Significance: Enhances attachment capabilities by allowing various file types, which is critical for applications requiring diverse input formats.

8. PR #2613: [prototype] bedrock anthropic with invokemodel

   • State: Open
   • Significance: A prototype implementation suggesting exploration into integrating Bedrock with Anthropics, showcasing innovative approaches in AI interactions.

9. PR #2612: [prototype] provider error handling

   • State: Open
   • Significance: Focuses on improving error handling mechanisms within providers, essential for robust application performance.

10. PR #2595: [prototype]: tschema example

    • State: Open
    • Significance: Introduces examples related to TSchema, reflecting efforts to enhance schema management within the SDK.

Analysis of Pull Requests

Trends and Themes

1. Dependency Management and Upgrades The majority of recent PRs involve updates to key dependencies such as React and ESLint configurations (#2708, #2685). These updates are crucial for maintaining compatibility with evolving libraries and ensuring adherence to coding standards across the project. The frequent upgrades indicate a proactive approach to dependency management, which is essential for long-term project sustainability.

2. Documentation Improvements Several PRs focus on enhancing documentation (#2703, #2679), which is vital for onboarding new contributors and ensuring that existing users can effectively utilize the SDK's features. Clear documentation helps mitigate confusion regarding usage patterns and encourages community engagement through better understanding.

3. Feature Expansion There is a notable emphasis on expanding features related to AI capabilities (#2678, #2658). The introduction of new specifications for language models and support for tool calls indicates an ongoing commitment to enhancing the SDK's functionality and versatility across different use cases.

4. Error Handling Enhancements Improvements in error handling mechanisms (#2612) reflect a growing awareness of the importance of robustness in software applications, particularly those interacting with external APIs or services where failures can occur unpredictably.

5. Community Engagement The presence of discussions around proposed changes (e.g., PR #2703 comments about running prettier fixes) suggests an active community engaged in collaborative development practices. This engagement is critical for fostering a positive contributor experience and ensuring that changes align with project goals.

Notable Anomalies

• Some PRs remain in draft status for extended periods (e.g., PR #2678), indicating potential bottlenecks in review processes or uncertainty regarding implementation details.
• Multiple PRs addressing similar issues (e.g., several updates related to React) could lead to confusion if not managed properly; it may be beneficial to consolidate efforts where applicable.

Conclusion

The pull request activity within the Vercel AI SDK repository demonstrates a vibrant development environment focused on continuous improvement through dependency updates, feature expansions, and robust documentation practices. The collaborative nature of contributions indicates a healthy community dynamic, although attention should be given to managing draft PRs effectively to maintain momentum in development efforts.

Report On: Fetch commits

Repo Commits Analysis

Development Team and Recent Activity

Team Members and Their Recent Activities

1. Lars Grammel (lgrammel)

   • Recent Contributions:
   • Added cache control support for the anthropic provider.
   • Updated custom fetch examples across various AI core modules.
   • Deprecated prompt helpers to streamline functionality.
   • Implemented fixes and features related to object generation and streaming text.
   • Engaged in extensive refactoring, particularly around error handling and type validation.
   • Collaboration: Frequently collaborates with other team members, including Jeremy, on features and bug fixes.

2. Jeremy Philemon (jeremyphilemon)

   • Recent Contributions:
   • Merged updates from the main branch into feature branches.
   • Added tests for the cohere chat language model.
   • Worked on enhancing tool call support within the cohere provider.
   • Collaboration: Collaborated with Lars on various features, including caching and tool choice mapping.

3. Nico Albanese (nicoalbanese)

   • Recent Contributions:
   • Made documentation fixes and enhancements, including updates to getting started guides and reference pages.
   • Collaboration: Works closely with Lars on documentation improvements.

4. Gaspar Garcia Jr (gaspar09)

   • Recent Contributions:
   • Implemented caching mechanisms in the anthropic provider.
   • Collaboration: Limited collaboration noted; primarily focused on individual contributions.

5. Others (e.g., DBvc, axel-rock, jackwilson323)

   • Minimal recent activity; primarily focused on minor fixes or documentation changes.

Patterns and Themes

• Active Development: The team is actively pushing new features, bug fixes, and enhancements, particularly in the last few days, indicating a strong focus on improving the SDK's capabilities.
• Documentation Focus: There is a consistent effort to improve documentation alongside code changes, ensuring that users have access to up-to-date information about new features and usage guidelines.
• Collaborative Efforts: Many contributions involve collaboration between team members, particularly Lars and Jeremy, suggesting a cohesive development environment where knowledge sharing is encouraged.
• Refactoring and Cleanup: A significant amount of recent commits involve refactoring existing code to improve structure, reduce complexity, and enhance maintainability.

Conclusions

The Vercel AI SDK development team is demonstrating robust activity with a clear focus on enhancing functionality while maintaining high-quality documentation. The collaborative nature of the team's efforts suggests an effective workflow that prioritizes both feature development and user experience through thorough documentation.