OpenAI and AI SDK Chatbot

I understand you're encountering a "FUNCTION_INVOCATION_TIMEOUT" error from the frontend. This error occurs when a serverless function takes longer than the allowed execution time to complete 1. Let's address this issue step by step:

Increase the function duration: If you're on a paid plan, you can increase the maximum duration for your functions. You can do this either in the Vercel dashboard or by adding a maxDuration setting to your vercel.json file 1.
{ "functions": { "api/chat/route.ts": { "maxDuration": 60 } } }
This example sets the maximum duration to 60 seconds for the chat API route.
Optimize the chat route: Let's modify the app/api/chat/route.ts file to ensure it's as efficient as possible:

These changes include:

Setting maxDuration to 60 seconds, which aligns with Vercel's limits for the Hobby plan 1.
Adding a maxTokens parameter to limit the response length, which can help prevent timeouts.
Including the experimental_onFunctionCall stub, which is necessary for the correct forwarding of function calls to the client 2.

Consider using Edge Functions: If you continue to experience timeouts, you might want to consider using Edge Functions. They provide an alternative that only requires an initial response within 25 seconds and allow you to continue streaming responses after that time 1.
Check for infinite loops or long-running processes: Ensure that your function doesn't contain any infinite loops or unexpectedly long-running processes that could cause it to timeout 1.
Monitor external API calls: If your function makes calls to external APIs (like OpenAI), ensure these aren't taking too long to respond. Consider implementing timeouts on these calls as well.
Use the AI SDK's error handling: The AI SDK provides ways to handle errors gracefully. You can add error handling to your chat component:

These changes will help handle and display any errors that occur during the chat process.

By implementing these modifications, you should be able to resolve the "FUNCTION_INVOCATION_TIMEOUT" error. If you continue to experience issues, please let me know, and we can explore further optimizations or alternative approaches.

Increase the function duration: If you're on a paid plan, you can increase the maximum duration for your functions. You can do this either in the Vercel dashboard or by adding a maxDuration setting to your vercel.json file 1.
{ "functions": { "api/chat/route.ts": { "maxDuration": 60 } } }
This example sets the maximum duration to 60 seconds for the chat API route.
Optimize the chat route: Let's modify the app/api/chat/route.ts file to ensure it's as efficient as possible:

These changes include:

Setting maxDuration to 60 seconds, which aligns with Vercel's limits for the Hobby plan 1.
Adding a maxTokens parameter to limit the response length, which can help prevent timeouts.
Including the experimental_onFunctionCall stub, which is necessary for the correct forwarding of function calls to the client 2.

Consider using Edge Functions: If you continue to experience timeouts, you might want to consider using Edge Functions. They provide an alternative that only requires an initial response within 25 seconds and allow you to continue streaming responses after that time 1.
Check for infinite loops or long-running processes: Ensure that your function doesn't contain any infinite loops or unexpectedly long-running processes that could cause it to timeout 1.
Monitor external API calls: If your function makes calls to external APIs (like OpenAI), ensure these aren't taking too long to respond. Consider implementing timeouts on these calls as well.
Use the AI SDK's error handling: The AI SDK provides ways to handle errors gracefully. You can add error handling to your chat component:

These changes will help handle and display any errors that occur during the chat process.