Implement LLM provider configuration and update user settings

- Added functionality to update the default LLM provider for users via a new endpoint in UserController.
- Introduced LlmProvider enum to manage available LLM options: Auto, Gemini, OpenAI, and Claude.
- Updated User and UserEntity models to include DefaultLlmProvider property.
- Enhanced database context and migrations to support the new LLM provider configuration.
- Integrated LLM services into the application bootstrap for dependency injection.
- Updated TypeScript API client to include methods for managing LLM providers and chat requests.

assets/documentation/MCP-Frontend-Fix.md

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+# Frontend Fix for MCP Implementation
+
+## Issue
+
+The frontend was trying to import `ManagingApi` which doesn't exist in the generated API client:
+
+```typescript
+import { ManagingApi } from '../generated/ManagingApi'  // ❌ Wrong
+```
+
+**Error**: `The requested module '/src/generated/ManagingApi.ts' does not provide an export named 'ManagingApi'`
+
+## Solution
+
+The generated API client uses individual client classes for each controller, not a single unified `ManagingApi` class.
+
+### Correct Import Pattern
+
+```typescript
+import { LlmClient } from '../generated/ManagingApi'  // ✅ Correct
+```
+
+### Correct Instantiation Pattern
+
+Following the pattern used throughout the codebase:
+
+```typescript
+// ❌ Wrong - this pattern doesn't exist
+const apiClient = new ManagingApi(apiUrl, userToken)
+
+// ✅ Correct - individual client classes
+const llmClient = new LlmClient({}, apiUrl)
+const accountClient = new AccountClient({}, apiUrl)
+const botClient = new BotClient({}, apiUrl)
+// etc.
+```
+
+## Files Fixed
+
+### 1. aiChatService.ts
+
+**Before**:
+```typescript
+import { ManagingApi } from '../generated/ManagingApi'
+
+export class AiChatService {
+  private apiClient: ManagingApi
+  constructor(apiClient: ManagingApi) { ... }
+}
+```
+
+**After**:
+```typescript
+import { LlmClient } from '../generated/ManagingApi'
+
+export class AiChatService {
+  private llmClient: LlmClient
+  constructor(llmClient: LlmClient) { ... }
+}
+```
+
+### 2. AiChat.tsx
+
+**Before**:
+```typescript
+import { ManagingApi } from '../../generated/ManagingApi'
+
+const apiClient = new ManagingApi(apiUrl, userToken)
+const service = new AiChatService(apiClient)
+```
+
+**After**:
+```typescript
+import { LlmClient } from '../../generated/ManagingApi'
+
+const llmClient = new LlmClient({}, apiUrl)
+const service = new AiChatService(llmClient)
+```
+
+## Available Client Classes
+
+The generated `ManagingApi.ts` exports these client classes:
+
+- `AccountClient`
+- `AdminClient`
+- `BacktestClient`
+- `BotClient`
+- `DataClient`
+- `JobClient`
+- **`LlmClient`** ← Used for AI chat
+- `MoneyManagementClient`
+- `ScenarioClient`
+- `SentryTestClient`
+- `SettingsClient`
+- `SqlMonitoringClient`
+- `TradingClient`
+- `UserClient`
+- `WhitelistClient`
+
+## Testing
+
+After these fixes, the frontend should work correctly:
+
+1. No more import errors
+2. LlmClient properly instantiated
+3. All methods available: `llm_Chat()`, `llm_GetProviders()`, `llm_GetTools()`
+
+The AI chat button should now appear and function correctly when you run the app.