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WeChat bot on Vercel Functions
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This project provides a serverless solution to integrate AI capabilities into WeChat Official Accounts using Vercel Functions. It targets developers and users looking for a low-cost, easy-to-deploy method to add advanced AI features like conversational bots to their WeChat presence without managing traditional servers.
How It Works
The solution leverages Vercel's serverless functions to handle incoming WeChat messages and interact with various AI models. It utilizes Redis for state management, enabling features like continuous conversation history. The architecture is designed for minimal cost and operational overhead, relying on Vercel's infrastructure and a user-provided domain.
Quick Start & Requirements
GPT_TOKEN
, WX_TOKEN
, botType
(e.g., gpt
, spark
, qwen
, gemini
), and optionally GPT_URL
, gptModel
, maxOutput
. Connect the Vercel Redis instance to the project.Highlighted Details
/api/check
) and a chat test endpoint (/api/chat
).Maintenance & Community
The project welcomes contributions via Pull Requests and Issues. Discussions are available on GitHub.
Licensing & Compatibility
The repository does not explicitly state a license in the README. Users should verify licensing for commercial use or integration with closed-source applications.
Limitations & Caveats
Vercel's free tier has a 10-second function timeout, which may affect responses to long AI queries. WeChat's message length limit of 500+ characters can also cause response failures, though this can be mitigated by setting maxOutput
. Vercel's default domain is blocked in China, necessitating a custom domain.
6 days ago
1 day