The Vercel AI Chatbot project is an open-source, customizable chatbot template built using Next.js and the AI SDK by Vercel. It is designed to facilitate the creation of AI-driven chat applications with features like server-side rendering, data persistence, and authentication. The project is actively maintained by Vercel and has a strong community presence. Currently, the project is in a state of active development with a focus on expanding features and improving user experience.
utils.ts
for code quality.Recent activities indicate a focus on UI/UX improvements and feature expansion, with ongoing collaboration across branches.
Timespan | Opened | Closed | Comments | Labeled | Milestones |
---|---|---|---|---|---|
7 Days | 2 | 0 | 2 | 2 | 1 |
30 Days | 13 | 3 | 38 | 13 | 1 |
90 Days | 24 | 11 | 45 | 24 | 1 |
1 Year | 134 | 102 | 317 | 134 | 1 |
All Time | 236 | 148 | - | - | - |
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 |
---|---|---|---|---|---|---|
Jeremy | 30 | 33/30/2 | 105 | 71 | 29622 | |
Jared Palmer | 3 | 2/1/0 | 23 | 40 | 11646 | |
Jude Gao (gaojude) | 1 | 1/0/0 | 1 | 4 | 150 | |
shadcn | 1 | 1/1/0 | 1 | 1 | 11 | |
Taeho Kim (xissy) | 0 | 1/0/1 | 0 | 0 | 0 | |
Ahsan Moin (ahmoin) | 0 | 1/0/0 | 0 | 0 | 0 | |
Benjamin Mort (benmort) | 0 | 1/0/1 | 0 | 0 | 0 | |
A C BHASKAR REDDY (acbhaskar1) | 0 | 0/0/1 | 0 | 0 | 0 | |
None (emmanuelhugo) | 0 | 1/0/1 | 0 | 0 | 0 | |
Manny Becerra (mannybecerra) | 0 | 1/0/0 | 0 | 0 | 0 | |
Priyank Rajai (Ipriyankrajai) | 0 | 1/0/0 | 0 | 0 | 0 | |
NAVNEETKUMAR RAMANBHAI THAKOR (navneetthakor) | 0 | 0/0/1 | 0 | 0 | 0 | |
Thiago Barbosa (thiagobarbosa) | 0 | 1/0/0 | 0 | 0 | 0 | |
None (ErpalCommunity) | 0 | 1/0/1 | 0 | 0 | 0 | |
Dusan Turajlic (dusan-turajlic) | 0 | 1/0/1 | 0 | 0 | 0 | |
None (gregorydgoyins) | 0 | 0/0/1 | 0 | 0 | 0 |
PRs: created by that dev and opened/merged/closed-unmerged during the period
Risk | Level (1-5) | Rationale |
---|---|---|
Delivery | 4 | The project faces significant delivery risks due to a backlog of 88 open issues, unresolved pull requests, and dependency challenges. Issues like deployment failures on Vercel's free plan (#444, #119) and incomplete features in PR#488 contribute to these risks. The high number of open issues suggests resource allocation challenges, impacting the project's ability to meet delivery timelines. |
Velocity | 4 | Velocity is at risk due to a slow issue resolution rate, with only 3 out of 13 issues closed in the last 30 days. Incomplete pull requests like PR#488 and ongoing build failures further hinder development speed. The high commit activity from a few contributors indicates potential burnout risks and uneven workload distribution, affecting overall team velocity. |
Dependency | 4 | The project relies heavily on external libraries and services, including pre-release versions (e.g., 'react@19.0.0-rc-45804af1-20241021'), which pose stability and compatibility risks. Issues with authentication setup using non-GitHub providers (#450, #447) and integration challenges with Vercel's platform further exacerbate dependency risks. |
Team | 3 | The high level of commit activity from a few contributors suggests potential burnout risks and uneven workload distribution. Limited contributions from other team members could indicate engagement issues or skill gaps, impacting team dynamics and productivity. |
Code Quality | 3 | Code quality is a concern due to unresolved bugs (#506, #480) and incomplete features (PR#488). While there are efforts to improve code quality through minor changes (PR#508), the presence of unused components and confusing links in PR#424 highlights ongoing challenges in maintaining high standards. |
Technical Debt | 4 | Technical debt is accumulating due to unresolved issues and incomplete pull requests like PR#488. Frequent refactoring efforts without thorough testing (e.g., PR#434) risk introducing new errors. The backlog of open issues also indicates underlying technical debt that needs addressing. |
Test Coverage | 3 | Test coverage is insufficient as evidenced by persistent bugs (#475) and lack of thorough testing for new features (PR#474). The absence of detailed documentation on testing in recent commits raises concerns about the project's ability to catch regressions effectively. |
Error Handling | 3 | Error handling is inadequate, with issues like client-side errors during registration (#480) indicating gaps in error management. While some improvements are made (PR#484), the lack of comprehensive error handling documentation suggests potential vulnerabilities in the system. |
Recent GitHub issue activity for the Vercel AI Chatbot project indicates a mix of new feature requests, bug reports, and user inquiries. The issues range from technical errors and deployment challenges to feature enhancements and integration questions. Notably, there are several issues related to authentication errors, deployment failures due to size constraints, and integration with different LLM providers.
Authentication Challenges: Several issues (#450, #447, #444) highlight difficulties with authentication setup, particularly when using providers other than GitHub. Users have reported problems with OAuth configurations and callback URLs.
Deployment Size Constraints: Issues like #444 and #119 indicate that some users face deployment failures due to edge function size limits on Vercel's free plan. This suggests a need for optimization or guidance on managing deployment sizes.
Integration with Other Providers: There are multiple requests and issues (#169, #170, #164) concerning the integration of alternative LLM providers such as Google PaLM and Hugging Face. Users are seeking guidance on how to adapt the template for different AI models.
Local Development Errors: Several users report issues when running the project locally (#200, #194), often related to environment variable configurations or package dependencies.
Feature Requests: Users have requested additional features such as model selection menus (#226) and support for Azure OpenAI (#162), indicating a demand for more flexibility in model usage.
Bug Reports: Common bugs include UI glitches (#87), syntax highlighting issues (#45), and unexpected behavior in chat history management (#79).
#506: Sidebar chat titles refetched on every message send (Priority: Medium, Status: Open)
#480: Application client-side error during Register and login (Priority: High, Status: Open)
#196: Unexpected token 'e', "error code: 1016" is not valid JSON (Priority: High, Status: Open)
#480: Application client-side error during Register and login (Priority: High, Status: Open)
The project continues to receive active engagement from the community, reflecting its utility and relevance. However, addressing the highlighted challenges could enhance user experience and broaden its applicability across different environments and use cases.
let
to const
for array declarations in utils.ts
.className
was unused in the Sidebar Toggle component.Open PRs with Pending Tasks or Issues:
Closed Without Merge:
Recent Merges Focus on UX Improvements:
Attention Needed for Build Failures:
Overall, the project shows active development with a mix of feature additions, bug fixes, and UI improvements. Attention to build stability and thorough testing of new features will be key to maintaining the project's robustness.
components/custom/sidebar-user-nav.tsx
DropdownMenu
components to create a user interaction menu.next-auth
for user authentication and theme management via next-themes
.Image
from next/image
ensures optimized image loading.{ user: User }
).truncate
, which is efficient for UI purposes.ai/models.ts
as const
ensures that the array is read-only, preventing accidental modifications.app/(chat)/api/chat/route.ts
db/queries.ts
drizzle-orm
), which enhances readability and security against SQL injection attacks.components/custom/chat-header.tsx
useRouter
, useWindowSize
) effectively to manage navigation and layout adjustments.components/custom/message-actions.tsx
lib/editor/diff.js
diff-match-patch
) for diffing logic and ProseMirror nodes for document representation.computeChildEqualityFactor
), suggesting areas for further development or documentation.Overall, the source code across these files demonstrates good practices in TypeScript usage, React component design, API route handling, database interaction, and document diffing. Each file serves its purpose effectively within the larger application architecture.
live
, jrmy/truncate-emails
, jrmy/blocks-automatically
, among others.jp/assistants
, jp/new-shadcn-sidebar
, and jp/next-15
.High Activity from Jeremy: Jeremy is the most active contributor with numerous commits across multiple branches. His work spans feature implementation, bug fixes, UI enhancements, and code refactoring.
Focus on UI/UX Improvements: There is a significant focus on improving the user interface and experience. This includes style tweaks, component renaming for clarity, and adding tooltips for better usability.
Collaboration Across Branches: Both Jeremy and Jared have been actively merging changes from the main branch into their respective feature branches, indicating a collaborative approach to integrating new features and fixes.
Continuous Integration of Updates: The team is actively integrating updates from Next.js and other dependencies to keep the project up-to-date with the latest technologies.
Feature Expansion: New features such as message actions, predictive outputs for document edits, and local storage for inputs suggest an ongoing effort to expand the chatbot's capabilities.
Overall, the development team is actively engaged in enhancing the functionality and user experience of the AI chatbot while ensuring code quality through regular updates and bug fixes.