#Trouble setting up `@ai-sdk`

1 messages · Page 1 of 1 (latest)

proven kettleBOT
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Hi @dusty dragon. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

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It seems like you're encountering some issues while setting up an AI-powered feature in your Next.js application using the App Router. Let's address your concerns based on the information provided in the knowledge sources:

  1. Package Confusion:
    It's possible you might be mixing up some packages. The correct package to use is ai, not @ai-sdk. According to the Vercel AI SDK guide, you should install the ai package:

    npm install ai

  2. Route Handler Setup:
    Your route handler at /api/ai-query should be set up correctly. Make sure it's using the correct imports and following the structure as shown in this Vercel guide. Here's an example of how your route handler might look:

    import { StreamingTextResponse, CohereStream } from 'ai'

export const runtime = 'edge'

export async function POST(req: Request) {
  // Your implementation here
}

  3. Page Implementation:
    For your page at /app/ask-ai/page.tsx, make sure you're using the useChat hook from the ai/react package. Here's an example from the Vercel AI SDK documentation:

    'use client';
import { useChat } from 'ai/react';

export default function Chat() {
  const { messages, input, handleInputChange, handleSubmit } = useChat();
  // Your component implementation
}
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  1. Quota Limit Error:
    The quota limit error you're experiencing is unusual if you haven't used any of your free tier usage. This could be due to a few reasons:
    • There might be an issue with your API key configuration. Double-check that you've correctly set up your OPENAI_API_KEY in your .env.local file.
    • Ensure you're not accidentally making too many API calls, perhaps due to a loop in your code.
    • There could be an issue with your OpenAI account or temporary service disruption.

To troubleshoot this, you can:

  • Verify your API key is correct and properly set in your environment variables.
  • Check your OpenAI account dashboard to confirm your usage and limits.
  • Implement proper error handling in your application to catch and log specific error messages, which can provide more insight into the issue.

If you continue to face issues, you might want to review the Vercel AI SDK documentation for more detailed setup instructions or reach out to OpenAI support regarding the quota limit error.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

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@dusty dragon Kapa.ai is still learning and improving, please let me know how I did by reacting below.

dusty dragon
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@proven kettle Can you verify the code in my query route is correct using the correct package

proven kettleBOT
#

Let me check the knowledge base for you again. Give me one moment! :books:

#

I apologize, but I can't verify the specific code in your query route since you haven't provided it in your question. However, I can guide you on how to set up the route correctly using the latest Vercel AI SDK based on the knowledge sources provided.

To ensure your query route is using the correct package and setup, follow these steps:

  1. First, make sure you have installed the correct packages. You should have:

    npm install ai openai

    Or if you're using pnpm:

    pnpm install ai openai

  2. In your query route file (which should be located at app/api/ai-query/route.ts in the App Router structure), use the following imports:

    import { streamText } from 'ai';
import { openai } from '@ai-sdk/openai';

  3. Your route handler should be structured like this:

    export async function POST(req: Request) {
  // Extract the `messages` from the body of the request
  const { messages } = await req.json();

  // Call the language model
  const result = streamText({
    model: openai('gpt-4o-mini'), // or whichever model you're using
    messages,
  });

  // Respond with the stream
  return result.toDataStreamResponse();
}

This structure is based on the examples provided in the Vercel AI SDK documentation and the Vercel guide on streaming from LLM.

Remember to set your OpenAI API key in your .env.local file:

OPENAI_API_KEY=your_api_key_here
#

If your code follows this structure and you're still encountering issues, please provide your specific code so I can help you identify any potential problems.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@dusty dragon Kapa.ai is still learning and improving, please let me know how I did by reacting below.

dusty dragon
proven kettleBOT
#

Let me check the knowledge base for you again. Give me one moment! :books:

#

I apologize, but I don't see any code provided in your question. Without seeing your specific code, I can't fix or suggest improvements. However, I can provide you with a correct example of how your route handler should look based on the latest Next.js and Vercel AI SDK best practices.

Here's an example of a correctly structured route handler for an AI query:

import { streamText } from 'ai';
import { openai } from '@ai-sdk/openai';

export const runtime = 'edge';

export async function POST(req: Request) {
  try {
    const { messages } = await req.json();

    const response = await streamText({
      model: openai('gpt-4o-mini'),
      messages,
    });

    return response.toDataStreamResponse();
  } catch (error) {
    console.error('Error in AI query:', error);
    return new Response('Error processing your request', { status: 500 });
  }
}

This code is based on the examples provided in the Vercel AI SDK documentation and the Vercel guide on streaming from LLM.

Key points to note:

  1. We're using the streamText function from the ai package.
  2. We're importing openai from @ai-sdk/openai.
  3. We're using the edge runtime for better performance.
  4. We're extracting messages from the request body.
  5. We're using a try-catch block for error handling.

If you can share your specific code, I'd be happy to provide more targeted advice on how to fix or improve it.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

dusty dragon
#

I'm using this query to interact with my database to give admin user some statistics

proven kettleBOT
#

@dusty dragon Kapa.ai is still learning and improving, please let me know how I did by reacting below.

dusty dragon
#

@proven kettle I've included the code as a file

proven kettleBOT
#

Let me check the knowledge base for you again. Give me one moment! :books:

#

I apologize, but I don't see any file or code included in your message. Without seeing the actual code, I can't provide specific feedback or fixes.

If you intended to include a file, it seems that it didn't come through in this conversation. To get the best help, you would need to share the code directly in your message or through a method that allows me to see it.

In the meantime, I can offer some general advice based on common issues when setting up AI queries with Next.js and the Vercel AI SDK:

  1. Make sure you're using the correct imports:

    import { streamText } from 'ai';
import { openai } from '@ai-sdk/openai';

  2. Ensure your route handler is using the POST method and is properly structured:

    export async function POST(req: Request) {
  // Your code here
}

  3. Use the streamText function correctly:

    const response = await streamText({
  model: openai('gpt-4o-mini'),
  messages: [{ role: 'user', content: 'Your prompt here' }],
});

  4. Return the response as a stream:

    return response.toDataStreamResponse();

If you can share your code in a future message, I'd be happy to take a look and provide more specific guidance. Remember to remove any sensitive information like API keys before sharing.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@dusty dragon Kapa.ai is still learning and improving, please let me know how I did by reacting below.

dusty dragon
proven kettleBOT
#

Let me check the knowledge base for you again. Give me one moment! :books: