housekeeping

apps/rowboat/app/lib/utils.ts

@@ -1,8 +1,3 @@
-import { z } from "zod";
-import { generateObject } from "ai";
-import { openai } from "@ai-sdk/openai";
-import { Message } from "./types/types";
-
 // create a PrefixLogger class that wraps console.log with a prefix
 // and allows chaining with a parent logger
 export class PrefixLogger {
@@ -29,50 +24,3 @@ export class PrefixLogger {
         return new PrefixLogger(childPrefix, this);
     }
 }
-
-export async function mockToolResponse(toolId: string, messages: z.infer<typeof Message>[], mockInstructions: string): Promise<string> {
-    const prompt = `Given below is a chat between a user and a customer support assistant.
-The assistant has requested a tool call with ID {{toolID}}.
-
-Your job is to come up with the data that the tool call should return.
-
-In order to help you mock the responses, the user has provided some contextual information,
-and also some instructions on how to mock the tool call.
-
->>>CHAT_HISTORY
-{{messages}}
-<<<END_OF_CHAT_HISTORY
-
->>>MOCK_INSTRUCTIONS
-{{mockInstructions}}
-<<<END_OF_MOCK_INSTRUCTIONS
-
-The current date is {{date}}.
-`
-        .replace('{{toolID}}', toolId)
-        .replace(`{{date}}`, new Date().toISOString())
-        .replace('{{mockInstructions}}', mockInstructions)
-        .replace('{{messages}}', JSON.stringify(messages.map((m) => {
-            let tool_calls;
-            if ('tool_calls' in m && m.role == 'assistant') {
-                tool_calls = m.tool_calls;
-            }
-            let { role, content } = m;
-            return {
-                role,
-                content,
-                tool_calls,
-            }
-        })));
-    // console.log(prompt);
-
-    const { object } = await generateObject({
-        model: openai("gpt-4o"),
-        prompt: prompt,
-        schema: z.object({
-            result: z.any(),
-        }),
-    });
-
-    return JSON.stringify(object);
-}