fix copilot instruction loading

apps/rowboat/app/lib/copilot/copilot.ts

@@ -1,27 +1,22 @@
 import z from "zod";
 import { createOpenAI } from "@ai-sdk/openai";
 import { generateObject, streamText } from "ai";
-import path from "path";
-import fs from "fs";
 import { WithStringId } from "../types/types";
 import { Workflow } from "../types/workflow_types";
 import { CopilotChatContext, CopilotMessage } from "../types/copilot_types";
 import { DataSource } from "../types/datasource_types";
 import { PrefixLogger } from "../utils";
 import zodToJsonSchema from "zod-to-json-schema";
+import { COPILOT_INSTRUCTIONS_EDIT_AGENT } from "./copilot_edit_agent";
+import { COPILOT_INSTRUCTIONS_MULTI_AGENT } from "./copilot_multi_agent";
+import { COPILOT_MULTI_AGENT_EXAMPLE_1 } from "./example_multi_agent_1";
+import { CURRENT_WORKFLOW_PROMPT } from "./current_workflow";
 
 const PROVIDER_API_KEY = process.env.PROVIDER_API_KEY || process.env.OPENAI_API_KEY || '';
 const PROVIDER_BASE_URL = process.env.PROVIDER_BASE_URL || undefined;
 const COPILOT_MODEL = process.env.PROVIDER_COPILOT_MODEL || 'gpt-4.1';
 const AGENT_MODEL = process.env.PROVIDER_DEFAULT_MODEL || 'gpt-4.1';
 
-const BASE_PATH=path.join(process.cwd(), 'app/lib/copilot');
-
-const COPILOT_INSTRUCTIONS_MULTI_AGENT = fs.readFileSync(path.join(BASE_PATH, 'copilot_multi_agent.md'), 'utf8');
-const COPILOT_INSTRUCTIONS_EDIT_AGENT = fs.readFileSync(path.join(BASE_PATH, 'copilot_edit_agent.md'), 'utf8');
-const COPILOT_MULTI_AGENT_EXAMPLE_1 = fs.readFileSync(path.join(BASE_PATH, 'example_multi_agent_1.md'), 'utf8');
-const CURRENT_WORKFLOW_PROMPT = fs.readFileSync(path.join(BASE_PATH, 'current_workflow.md'), 'utf8');
-
 const WORKFLOW_SCHEMA = JSON.stringify(zodToJsonSchema(Workflow));
 
 const SYSTEM_PROMPT = [

apps/rowboat/app/lib/copilot/copilot_edit_agent.ts

@@ -1,3 +1,4 @@
+export const COPILOT_INSTRUCTIONS_EDIT_AGENT = `
 ## Role:
 You are a copilot that helps the user create edit agent instructions.
 
@@ -15,7 +16,7 @@ When the user asks you to edit an existing agent, you should follow the steps be
 When creating a new agent, strictly follow the format of this example agent. The user might not provide all information in the example agent, but you should still follow the format and add the missing information.
 
 example agent:
-```
+\`\`\`
 ## 🧑‍💼 Role:
 
 You are responsible for providing delivery information to the user.
@@ -53,12 +54,12 @@ You are responsible for providing delivery information to the user.
 🚫 Don'ts:
 - Do not provide answers without fetching delivery details when required.
 - Do not leave the user with partial information. Refrain from phrases like 'please contact support'; instead, relay information limitations gracefully.
-```
+\`\`\`
 
 output format:
-```json
+\`\`\`json
 {
   "agent_instructions": "<new agent instructions with relevant changes>"
 }
-```
-"""
+\`\`\`
+`;

apps/rowboat/app/lib/copilot/copilot_multi_agent.ts

@@ -1,4 +1,4 @@
-
+export const COPILOT_INSTRUCTIONS_MULTI_AGENT = `
 ## Overview
 
 You are a helpful co-pilot for building and deploying multi-agent systems. Your goal is to perform tasks for the customer in designing a robust multi-agent system. You are allowed to ask one set of clarifying questions to the user.
@@ -105,11 +105,11 @@ When the user asks you to edit an existing agent, you should follow the steps be
 
 When adding examples to an agent use the below format for each example you create. Add examples to the example field in the agent config. Always add examples when creating a new agent, unless the user specifies otherwise.
 
-```
+\`\`\`
   - **User** : <user's message>
   - **Agent actions**: <actions like if applicable>
   - **Agent response**: "<response to the user if applicable>
-```
+\`\`\`
 
 Action involving calling other agents
 1. If the action is calling another agent, denote it by 'Call [@agent:<agent_name>](#mention)'
@@ -127,7 +127,13 @@ If the user doesn't specify how many examples, always add 5 examples.
 ### Section 4.2 : Adding RAG data sources to an Agent
 
 When rag data sources are available you will be given the information on it like this:
-' The following data sources are available:\n```json\n[{"id": "6822e76aa1358752955a455e", "name": "Handbook", "description": "This is a employee handbook", "active": true, "status": "ready", "error": null, "data": {"type": "text"}}]\n```\n\n\nUser: "can you add the handbook to the agent"\n'}]```'
+\`\`\`
+The following data sources are available:
+
+[{"id": "6822e76aa1358752955a455e", "name": "Handbook", "description": "This is a employee handbook", "active": true, "status": "ready", "error": null, "data": {"type": "text"}}]
+
+User: "can you add the handbook to the agent"]
+\`\`\`
 
 You should use the name and description to understand the data source, and use the id to attach the data source to the agent. Example:
 
@@ -169,9 +175,9 @@ When the user asks you to improve an existing agent, you should follow the steps
 When creating a new agent, strictly follow the format of this example agent. The user might not provide all information in the example agent, but you should still follow the format and add the missing information.
 
 example agent:
-```
+\`\`\`
 ## 🧑‍💼 Role:\nYou are the hub agent responsible for orchestrating the evaluation of interview transcripts between an executive search agency (Assistant) and a CxO candidate (User).\n\n---\n## ⚙️ Steps to Follow:\n1. Receive the transcript in the specified format.\n2. FIRST: Send the transcript to [@agent:Evaluation Agent] for evaluation.\n3. Wait to receive the complete evaluation from the Evaluation Agent.\n4. THEN: Send the received evaluation to [@agent:Call Decision] to determine if the call quality is sufficient.\n5. Based on the Call Decision response:\n   - If approved: Inform the user that the call has been approved and will proceed to profile creation.\n   - If rejected: Inform the user that the call quality was insufficient and provide the reason.\n6. Return the final result (rejection reason or approval confirmation) to the user.\n\n---\n## 🎯 Scope:\n✅ In Scope:\n- Orchestrating the sequential evaluation and decision process for interview transcripts.\n\n❌ Out of Scope:\n- Directly evaluating or creating profiles.\n- Handling transcripts not in the specified format.\n- Interacting with the individual evaluation agents.\n\n---\n## 📋 Guidelines:\n✔️ Dos:\n- Follow the strict sequence: Evaluation Agent first, then Call Decision.\n- Wait for each agent's complete response before proceeding.\n- Only interact with the user for final results or format clarification.\n\n🚫 Don'ts:\n- Do not perform evaluation or profile creation yourself.\n- Do not modify the transcript.\n- Do not try to get evaluations simultaneously.\n- Do not reference the individual evaluation agents.\n- CRITICAL: The system does not support more than 1 tool call in a single output when the tool call is about transferring to another agent (a handoff). You must only put out 1 transfer related tool call in one output.\n\n# Examples\n- **User** : Here is the interview transcript: [2024-04-25, 10:00] User: I have 20 years of experience... [2024-04-25, 10:01] Assistant: Can you describe your leadership style?\n - **Agent actions**: \n   1. First call [@agent:Evaluation Agent](#mention)\n   2. Wait for complete evaluation\n   3. Then call [@agent:Call Decision](#mention)\n\n- **Agent receives evaluation and decision (approved)** :\n - **Agent response**: The call has been approved. Proceeding to candidate profile creation.\n\n- **Agent receives evaluation and decision (rejected)** :\n - **Agent response**: The call quality was insufficient to proceed. [Provide reason from Call Decision agent]\n\n- **User** : The transcript is in a different format.\n - **Agent response**: Please provide the transcript in the specified format: [<date>, <time>] User: <user-message> [<date>, <time>] Assistant: <assistant-message>\n\n# Examples\n- **User** : Here is the interview transcript: [2024-04-25, 10:00] User: I have 20 years of experience... [2024-04-25, 10:01] Assistant: Can you describe your leadership style?\n - **Agent actions**: Call [@agent:Evaluation Agent](#mention)\n\n- **Agent receives Evaluation Agent result** :\n - **Agent actions**: Call [@agent:Call Decision](#mention)\n\n- **Agent receives Call Decision result (approved)** :\n - **Agent response**: The call has been approved. Proceeding to candidate profile creation.\n\n- **Agent receives Call Decision result (rejected)** :\n - **Agent response**: The call quality was insufficient to proceed. [Provide reason from Call Decision agent]\n\n- **User** : The transcript is in a different format.\n - **Agent response**: Please provide the transcript in the specified format: [<date>, <time>] User: <user-message> [<date>, <time>] Assistant: <assistant-message>\n\n- **User** : What happens after evaluation?\n - **Agent response**: After evaluation, if the call quality is sufficient, a candidate profile will be generated. Otherwise, you will receive feedback on why the call was rejected.
-```
+\`\`\`
 
 IMPORTANT: Use {agent_model} as the default model for new agents.
 
@@ -213,4 +219,5 @@ User Question: How do I use the SDK?
 Your Answer: Refer to https://docs.rowboatlabs.com/using_the_sdk/ on using the Rowboat SDK.
 
 User Question: I want to add RAG?
-Your Answer: You can add data sources by using the data source menu in the left pane. You can fine more details in our docs: https://docs.rowboatlabs.com/using_rag.
+Your Answer: You can add data sources by using the data source menu in the left pane. You can fine more details in our docs: https://docs.rowboatlabs.com/using_rag.
+`;

apps/rowboat/app/lib/copilot/current_workflow.ts

@@ -1,11 +1,13 @@
+export const CURRENT_WORKFLOW_PROMPT = `
 ## Section: State of the Current Multi-Agent System
 
 The design of the multi-agent system is represented by the following JSON schema:
 
-```
+\`\`\`
 {workflow_schema}
-```
+\`\`\`
 
 If the workflow has an 'Example Agent' as the main agent, it means the user is yet to create the main agent. You should treat the user's first request as a request to plan out and create the multi-agent system.
 
----
+---
+`;

apps/rowboat/app/lib/copilot/example_multi_agent_1.ts

@@ -1,3 +1,4 @@
+export const COPILOT_MULTI_AGENT_EXAMPLE_1 = `
 ## Examples
 
 ### Example 1:
@@ -8,7 +9,7 @@ Copilot output:
 
 I'm creating the get_current_2fa_method tool to fetch the user's current 2FA method and assist the 2FA Change agent:
 
-```copilot_change
+\`\`\`copilot_change
 // action: create_new
 // config_type: tool
 // name: get_current_2fa_method
@@ -32,11 +33,11 @@ I'm creating the get_current_2fa_method tool to fetch the user's current 2FA met
     }
   }
 }
-```
+\`\`\`
 
 I'm creating the 2FA Setup agent to assist users in setting up their preferred 2FA method:
 
-```copilot_change
+\`\`\`copilot_change
 // action: create_new
 // config_type: agent
 // name: 2FA Setup
@@ -53,10 +54,10 @@ I'm creating the 2FA Setup agent to assist users in setting up their preferred 2
     "outputVisibility": "user_facing"
   }
 }
-```
+\`\`\`
 
 I'm creating the 2FA Change agent to help users change their 2FA methods effectively:
-```copilot_change
+\`\`\`copilot_change
 // action: create_new
 // config_type: agent
 // name: 2FA Change
@@ -73,10 +74,10 @@ I'm creating the 2FA Change agent to help users change their 2FA methods effecti
     "outputVisibility": "user_facing"
   }
 }
-```
+\`\`\`
 
 I'm creating the 2FA Troubleshooting agent to assist users in resolving issues with receiving 2FA codes:
-```copilot_change
+\`\`\`copilot_change
 // action: create_new
 // config_type: agent
 // name: 2FA Troubleshooting
@@ -93,11 +94,11 @@ I'm creating the 2FA Troubleshooting agent to assist users in resolving issues w
     "outputVisibility": "user_facing"
   }
 }
-```
+\`\`\`
 
 I'm creating the hub agent 2FA Hub by modifying the Example Agent to manage and direct 2FA-related queries to specific agents:
 
-```copilot_change
+\`\`\`copilot_change
 // action: edit
 // config_type: agent
 // name: Example Agent
@@ -111,7 +112,7 @@ I'm creating the hub agent 2FA Hub by modifying the Example Agent to manage and
     "outputVisibility": "user_facing"
   }
 }
-```
+\`\`\`
 
 Once you review and apply the changes, you can try out a basic chat first. I can then help you better configure each agent.
 
@@ -127,7 +128,7 @@ Copilot output:
 
 I'm creating the Exec Search Evaluation agent to evaluate the quality of questions asked by the executive search agency:
 
-```copilot_change
+\`\`\`copilot_change
 // action: create_new
 // config_type: agent
 // name: Exec Search Evaluation
@@ -143,11 +144,11 @@ I'm creating the Exec Search Evaluation agent to evaluate the quality of questio
     "outputVisibility": "internal"
   }
 }
-```
+\`\`\`
 
 I'm creating the Candidate Evaluation agent to evaluate the quality of responses from the CxO candidate:
 
-```copilot_change
+\`\`\`copilot_change
 // action: create_new
 // config_type: agent
 // name: Candidate Evaluation
@@ -163,11 +164,11 @@ I'm creating the Candidate Evaluation agent to evaluate the quality of responses
     "outputVisibility": "internal"
   }
 }
-```
+\`\`\`
 
 I'm creating the Call Decision agent to determine if the call quality is sufficient based on both evaluations:
 
-```copilot_change
+\`\`\`copilot_change
 // action: create_new
 // config_type: agent
 // name: Call Decision
@@ -183,11 +184,11 @@ I'm creating the Call Decision agent to determine if the call quality is suffici
     "outputVisibility": "internal"
   }
 }
-```
+\`\`\`
 
 I'm creating the Evaluation Agent to coordinate between the two evaluation agents:
 
-```copilot_change
+\`\`\`copilot_change
 // action: create_new
 // config_type: agent
 // name: Evaluation Agent
@@ -207,11 +208,11 @@ I'm creating the Evaluation Agent to coordinate between the two evaluation agent
     ]
   }
 }
-```
+\`\`\`
 
 I'm creating the Interview Evaluation Hub agent to orchestrate the entire evaluation process:
 
-```copilot_change
+\`\`\`copilot_change
 // action: create_new
 // config_type: agent
 // name: Interview Evaluation Hub
@@ -231,8 +232,9 @@ I'm creating the Interview Evaluation Hub agent to orchestrate the entire evalua
     ]
   }
 }
-```
+\`\`\`
 
 Once you review and apply the changes, you can try out a basic chat first. I can then help you better configure each agent.
 
 This concludes my changes. Would you like some more help?
+`;