style: prettier format

lib/feedback.ts

@@ -1,22 +1,22 @@
-import { streamText } from 'ai';
-import { z } from 'zod';
+import { streamText } from 'ai'
+import { z } from 'zod'
 import { zodToJsonSchema } from 'zod-to-json-schema'
 
-import { o3MiniModel } from './ai/providers';
-import { systemPrompt } from './prompt';
+import { o3MiniModel } from './ai/providers'
+import { systemPrompt } from './prompt'
 
 type PartialFeedback = DeepPartial<z.infer<typeof feedbackTypeSchema>>
 
 export const feedbackTypeSchema = z.object({
-  questions: z.array(z.string())
+  questions: z.array(z.string()),
 })
 
 export function generateFeedback({
   query,
   numQuestions = 3,
 }: {
-  query: string;
-  numQuestions?: number;
+  query: string
+  numQuestions?: number
 }) {
   const schema = z.object({
     questions: z
@@ -24,22 +24,22 @@ export function generateFeedback({
       .describe(
         `Follow up questions to clarify the research direction, max of ${numQuestions}`,
       ),
-  });
-  const jsonSchema = JSON.stringify(zodToJsonSchema(schema));
+  })
+  const jsonSchema = JSON.stringify(zodToJsonSchema(schema))
   const prompt = [
     `Given the following query from the user, ask some follow up questions to clarify the research direction. Return a maximum of ${numQuestions} questions, but feel free to return less if the original query is clear: <query>${query}</query>`,
     `You MUST respond in JSON with the following schema: ${jsonSchema}`,
-  ].join('\n\n');
+  ].join('\n\n')
 
   const stream = streamText({
     model: o3MiniModel,
     system: systemPrompt(),
     prompt,
-  });
+  })
 
   return parseStreamingJson(
     stream.textStream,
     feedbackTypeSchema,
-    (value: PartialFeedback) => !!value.questions && value.questions.length > 0
+    (value: PartialFeedback) => !!value.questions && value.questions.length > 0,
   )
 }