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The new maxAutomaticRoundtrips in Vercel AI SDK
It simplifies tool calling and feeds the result back to the model
- Authors
- Name
- Nico Prananta
- Follow me on Bluesky
Last month I wrote about how to feed the result of function calls back to the model using the Vercel AI SDK. The team at Vercel have just released a new version (3.1.22) of the SDK with a new feature called maxAutomaticRoundtrips. This feature simplifies tool calling and feeds the result back to the model.
Here's an example of how we needed to do it before:
const { text, toolResults, toolCalls } = await generateText({
...context,
messages,
})
// if there's a tool call, add it to the assistant's message
if (toolResults && toolCalls) {
messages.push({
role: 'assistant' as const,
content: toolCalls,
})
messages.push({
role: 'tool' as const,
content: toolResults,
})
const { text: finalText } = await generateText({
...context,
messages,
})
messages.push({ role: 'assistant', content: finalText })
process.stdout.write(`Assistant: ${finalText}\n`)
} else {
messages.push({ role: 'assistant', content: text })
process.stdout.write(`Assistant: ${text}\n`)
}
Basically, we need to add the tool call to the assistant's message, and then add the tool result to the tool's message as well. This is a bit of a pain.
But the new maxAutomaticRoundtrips feature simplifies this process.
const { text } = await generateText({
...context,
maxAutomaticRoundtrips: 5,
messages,
})
messages.push({ role: 'assistant', content: text })
process.stdout.write(`Assistant: ${text}\n`)
The SDK will automatically call the tool and feed the result back to the model!
Check out the updated demo from the previous post in this repository.
By the way, I'm making a book about Pull Requests Best Practices. Check it out!