Files

cryptooda 6f55566db3 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.

2026-01-03 21:55:55 +07:00

6.9 KiB

Raw Blame History

MCP Implementation - Final Summary

✅ Complete Implementation

The MCP (Model Context Protocol) with LLM integration is now fully implemented and configured to use Claude Code API keys as the primary provider.

Key Updates

1. Auto Mode Provider Priority

Updated Selection Order:

Claude (Anthropic) ← Primary (uses Claude Code API keys)
Gemini (Google)
OpenAI (GPT)

When users select "Auto" in the chat interface, the system will automatically use Claude if an API key is configured.

2. BYOK Default Provider

When users bring their own API keys without specifying a provider, the system defaults to Claude.

Quick Setup (3 Steps)

Step 1: Add Your Claude API Key

Choose one method:

Environment Variable (Recommended for Claude Code):

export Llm__Claude__ApiKey="sk-ant-api03-..."

User Secrets (Development):

cd src/Managing.Api
dotnet user-secrets set "Llm:Claude:ApiKey" "sk-ant-api03-..."

appsettings.json:

{
  "Llm": {
    "Claude": {
      "ApiKey": "sk-ant-api03-..."
    }
  }
}

Step 2: Run the Application

# Backend
cd src/Managing.Api
dotnet run

# Frontend (separate terminal)
cd src/Managing.WebApp
npm run dev

Step 3: Test the AI Chat

Login to the app
Click the floating chat button (bottom-right)
Try: "Show me my best backtests from last month"

Architecture Highlights

Flow with Claude

User Query
    ↓
Frontend (AiChat component)
    ↓
POST /Llm/Chat (provider: "auto")
    ↓
LlmService selects Claude (priority #1)
    ↓
ClaudeProvider calls Anthropic API
    ↓
Claude returns tool_calls
    ↓
McpService executes tools (BacktestTools)
    ↓
Results sent back to Claude
    ↓
Final response to user

Key Features

✅ Auto Mode: Automatically uses Claude when available ✅ BYOK Support: Users can bring their own Anthropic API keys ✅ MCP Tool Calling: Claude can call backend tools seamlessly ✅ Backtest Queries: Natural language queries for trading data ✅ Secure: API keys protected, user authentication required ✅ Scalable: Easy to add new providers and tools

Files Modified

Backend

✅ src/Managing.Application/LLM/LlmService.cs - Updated provider priority
✅ All other implementation files from previous steps

Documentation

✅ MCP-Claude-Code-Setup.md - Detailed Claude setup guide
✅ MCP-Quick-Start.md - Updated quick start with Claude
✅ MCP-Implementation-Summary.md - Complete technical overview
✅ MCP-Frontend-Fix.md - Frontend fix documentation

Provider Comparison

Feature	Claude	Gemini	OpenAI
MCP Native Support	✅ Best	Good	Good
Context Window	200K	128K	128K
Tool Calling	Excellent	Good	Good
Cost (per 1M tokens)	$3-$15	Free tier	$5-$15
Speed	Fast	Very Fast	Fast
Reasoning	Excellent	Good	Excellent
Recommended For	MCP Apps	Prototyping	General Use

Why Claude for MCP?

Native MCP Support: Claude was built with MCP in mind
Excellent Tool Use: Best at structured function calling
Large Context: 200K token context window
Reasoning: Strong analytical capabilities for trading data
Code Understanding: Great for technical queries
Production Ready: Enterprise-grade reliability

Example Queries

Once running, try these with Claude:

Simple Queries

"Show me my backtests"
"What's my best strategy?"
"List my BTC backtests"

Advanced Queries

"Find backtests with a score above 85 and winrate over 70%"
"Show me my top 5 strategies by Sharpe ratio from the last 30 days"
"What are my best performing ETH strategies with minimal drawdown?"

Analytical Queries

"Analyze my backtest performance trends"
"Which indicators work best in my strategies?"
"Compare my spot vs futures backtests"

Monitoring Claude Usage

In Application Logs

Look for these messages:

"Claude provider initialized" - Claude is configured
"Auto-selected provider: claude" - Claude is being used
"Successfully executed tool get_backtests_paginated" - Tool calling works

In Anthropic Console

Monitor:

Request count
Token usage
Costs
Rate limits

Cost Estimation

For typical usage with Claude 3.5 Sonnet:

Usage Level	Requests/Day	Est. Cost/Month
Light	10-50	$1-5
Medium	50-200	$5-20
Heavy	200-1000	$20-100

Estimates based on average message length and tool usage

Security Checklist

✅ API keys stored securely (user secrets/env vars)
✅ Never committed to version control
✅ User authentication required for all endpoints
✅ Rate limiting in place (via Anthropic)
✅ Audit logging enabled
✅ Tool execution restricted to user context

Troubleshooting

Claude not being selected

Check:

# Look for this in logs when starting the API
"Claude provider initialized"

If not present:

Verify API key is set
Check environment variable name: Llm__Claude__ApiKey (double underscore)
Restart the API

API key errors

Error: "Invalid API key" or "Authentication failed"

Solution:

Verify key is active in Anthropic Console
Check for extra spaces in the key
Ensure billing is set up

Tool calls not working

Error: Tool execution fails