ai-sdk-next-openai/app/api/test-invalid-tool-call/route.ts
2025-09-26 15:46:29 +00:00

105 lines
3.0 KiB
TypeScript

import { openai } from '@ai-sdk/openai';
import {
convertToModelMessages,
InferUITools,
stepCountIs,
streamText,
tool,
UIDataTypes,
UIMessage,
} from 'ai';
import { convertArrayToReadableStream, MockLanguageModelV2 } from 'ai/test';
import { z } from 'zod';
// Allow streaming responses up to 30 seconds
export const maxDuration = 30;
const getWeatherInformationTool = tool({
description: 'show the weather in a given city to the user',
inputSchema: z.object({ city: z.string() }),
execute: async ({ city }: { city: string }) => {
// Add artificial delay of 5 seconds
await new Promise(resolve => setTimeout(resolve, 5000));
const weatherOptions = ['sunny', 'cloudy', 'rainy', 'snowy', 'windy'];
return weatherOptions[Math.floor(Math.random() * weatherOptions.length)];
},
});
const tools = {
// server-side tool with execute function:
getWeatherInformation: getWeatherInformationTool,
} as const;
export type UseChatToolsMessage = UIMessage<
never,
UIDataTypes,
InferUITools<typeof tools>
>;
export async function POST(req: Request) {
const { messages } = await req.json();
console.log('messages', JSON.stringify(messages, null, 2));
const result = streamText({
model: openai('gpt-4o'),
messages: convertToModelMessages(messages),
stopWhen: stepCountIs(5), // multi-steps for server-side tools
tools,
prepareStep: async ({ stepNumber }) => {
// inject invalid tool call in first step:
if (stepNumber === 0) {
return {
model: new MockLanguageModelV2({
doStream: async () => ({
stream: convertArrayToReadableStream([
{ type: 'stream-start', warnings: [] },
{
type: 'tool-input-start',
id: 'call-1',
toolName: 'getWeatherInformation',
providerExecuted: true,
},
{
type: 'tool-input-delta',
id: 'call-1',
delta: `{ "cities": "San Francisco" }`,
},
{
type: 'tool-input-end',
id: 'call-1',
},
{
type: 'tool-call',
toolCallType: 'function',
toolCallId: 'call-1',
toolName: 'getWeatherInformation',
// wrong tool call arguments (city vs cities):
input: `{ "cities": "San Francisco" }`,
},
{
type: 'finish',
finishReason: 'stop',
usage: {
inputTokens: 10,
outputTokens: 20,
totalTokens: 30,
},
},
]),
}),
}),
};
}
},
});
return result.toUIMessageStreamResponse({
// originalMessages: messages, //add if you want to have correct ids
onFinish: options => {
console.log('onFinish', options);
},
});
}