fix(backend): Complete AI Model Configuration with all 3 endpoints (POST/GET/PUT)

[morningstarxcdcode]

Summary

Completes the AI Model Configuration implementation that was 90% done. Addresses all integration errors and implements missing endpoints for full CRUD functionality.

Problems Fixed

1. Service Layer Issues

• ❌ Removed bad import from 'inspector' module
• ❌ Fixed removeAgent() using $pull operator (was broken)
• ⚠️ Changed $push to $addToSet for agent deduplication
• ✅ Added getConfig() for retrieving without API keys
• ✅ Added updateConfig() for updates

2. Utility Layer Issues

• ❌ Fixed findAiModelConfigByUserId to search by userId (was using findById)
• ❌ Fixed findAiModelConfigById_And_ModelName parameter from id to userId
• ✅ Added .select('-agents.key') to exclude plaintext keys

3. Routes & Endpoints

• POST /v1/config/agents - Create/setup AI model config ✅
• GET /v1/get/ai-model-config - Retrieve config ✅ (NEW)
• PUT /v1/update/ai-model-config - Update config ✅ (NEW)
• DELETE /v1/config/agents/:agentId - Remove agent ✅ (NEW)

4. Controller Implementation

• ✅ Implemented getAiModelConfig() with authentication
• ✅ Implemented updateAiModelConfig() with Zod validation
• ✅ Implemented removeAgent() with proper error handling
• ✅ Fixed setupAiModelConfig to avoid empty agent placeholders
• ✅ In-memory duplicate checking instead of N+1 DB queries

Security Enhancements

• No plaintext API keys in GET responses
• Proper authentication middleware usage
• Input validation with Zod schemas
• Proper HTTP status codes (401, 404, 500)

Database Operators

• ✅ $addToSet for agent deduplication
• ✅ $pull for safe agent removal
• ✅ .select('-agents.key') to exclude sensitive data

What Was 90% Done

@reshisahil had implemented the POST endpoint and base schema. This PR completes:

• GET endpoint for retrieving user's config
• PUT endpoint for updating config
• DELETE endpoint for removing agents
• Bug fixes in service and utility layers
• Proper security (no plaintext keys)

Testing the Endpoints

# Create config
POST /v1/config/agents
Authorization: Bearer <token>
{
  "agents": [
    {
      "provider": "OpenAI",
      "type": "cloud",
      "model": "gpt-4",
      "key": "sk-..."
    }
  ],
  "system_prompt": "You are helpful."
}

# Get config (no plaintext keys returned)
GET /v1/get/ai-model-config
Authorization: Bearer <token>

# Update config
PUT /v1/update/ai-model-config
Authorization: Bearer <token>
{
  "system_prompt": "New prompt"
}

# Remove agent
DELETE /v1/config/agents/:agentId
Authorization: Bearer <token>

Fixes #3

[gemini-code-assist]

Summary of Changes

Hello @morningstarxcdcode, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request finalizes the AI Model Configuration feature by introducing the necessary GET, PUT, and DELETE API endpoints, thereby enabling comprehensive CRUD operations. It resolves several identified issues within the service and utility layers, including correct agent removal and deduplication logic, and significantly bolsters security by preventing sensitive API key exposure and enforcing robust input validation.

Highlights

• Full CRUD for AI Model Configuration: Implemented missing GET, PUT, and DELETE endpoints to provide complete Create, Read, Update, Delete functionality for AI model configurations.
• Service Layer Enhancements: Fixed removeAgent logic using $pull, switched to $addToSet for agent deduplication, and introduced new getConfig and updateConfig methods.
• Utility Layer Corrections: Updated findAiModelConfigByUserId and findAiModelConfigById_And_ModelName to correctly use userId and added .select('-agents.key') for security.
• Security Improvements: Ensured no plaintext API keys are returned in GET responses, enforced proper authentication middleware, and implemented Zod for input validation.
• Controller Logic Refinements: Modified setupAiModelConfig for cleaner initialization and in-memory duplicate checking, and implemented new controller methods for GET, PUT, and DELETE operations.

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[gemini-code-assist]

Code Review

This pull request is a great step forward, completing the AI Model Configuration feature with full CRUD functionality and addressing several existing bugs. The changes are well-documented in the description, and the code improvements, such as fixing the N+1 query problem and using appropriate database operators, are excellent. My review focuses on enhancing security, maintainability, and consistency. I've suggested changes to prevent leaking error details in responses, to use middleware consistently for authentication, and to improve TypeScript type safety. Overall, this is a solid contribution.

[Copilot]

Pull request overview

This PR completes the AI Model Configuration feature by implementing GET, PUT, and DELETE endpoints alongside the existing POST endpoint, and fixes several bugs in the service and utility layers. The implementation adds proper security measures to prevent exposing plaintext API keys in responses.

Key Changes:

• Added three new CRUD endpoints (GET, PUT, DELETE) with authentication middleware
• Fixed database query methods in utility layer to properly search by userId instead of _id
• Implemented API key exclusion in responses using MongoDB's .select('-agents.key')

Reviewed changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 12 comments.

File	Description
AiModelConfig.utility.ts	Fixed parameter names and queries to use userId consistently; added key exclusion for security
AiModelConfig.service.ts	Removed bad inspector import; fixed removeAgent with $pull operator; added getConfig and updateConfig methods with key exclusion
AiModelConfig.routes.ts	Added GET, PUT, DELETE endpoints with userMiddleware authentication
AiModelConfig.controller.ts	Implemented getAiModelConfig, updateAiModelConfig, and removeAgent methods; improved duplicate checking logic

Comments suppressed due to low confidence (1)

LocalMind-Backend/src/api/v1/AiModelConfig/AiModelConfig.controller.ts:18

• The setupAiModelConfig method manually handles authentication instead of relying on middleware like the other methods. This duplicates authentication logic and creates inconsistency. If userMiddleware is added to the route, this manual authentication code (lines 13-18) can be removed and replaced with accessing req.user._id or req.user.id like in the other controller methods.

      const token = req.headers.authorization?.split(' ')[1] || req.cookies?.token
      if (!token) throw new Error('Authentication token missing')

      const FindUserByToken = await UserUtils.VerifyUserToken(token)

      if (!FindUserByToken) throw new Error('Invalid authentication token')

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