llm-fusion-mcp/config/orchestrator.yaml
Ryan Malloy 80f1ecbf7d
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🚀 Phase 2 Complete: Universal MCP Tool Orchestrator
Revolutionary architecture that bridges remote LLMs with the entire MCP ecosystem!

## 🌟 Key Features Added:
- Real MCP protocol implementation (STDIO + HTTP servers)
- Hybrid LLM provider system (OpenAI-compatible + Native APIs)
- Unified YAML configuration with environment variable substitution
- Advanced error handling with circuit breakers and provider fallback
- FastAPI HTTP bridge for remote LLM access
- Comprehensive tool & resource discovery system
- Complete test suite with 4 validation levels

## 🔧 Architecture Components:
- `src/llm_fusion_mcp/orchestrator.py` - Main orchestrator with hybrid providers
- `src/llm_fusion_mcp/mcp_client.py` - Full MCP protocol implementation
- `src/llm_fusion_mcp/config.py` - Configuration management system
- `src/llm_fusion_mcp/error_handling.py` - Circuit breaker & retry logic
- `config/orchestrator.yaml` - Unified system configuration

## 🧪 Testing Infrastructure:
- Complete system integration tests (4/4 passed)
- MCP protocol validation tests
- Provider compatibility analysis
- Performance benchmarking suite

🎉 This creates the FIRST system enabling remote LLMs to access
the entire MCP ecosystem through a unified HTTP API!

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-06 10:01:37 -06:00

195 lines
4.9 KiB
YAML

# LLM Fusion MCP - Universal Tool Orchestrator Configuration
# Configuration for providers, MCP servers, and HTTP API settings
# =============================================================================
# LLM PROVIDER CONFIGURATION
# =============================================================================
providers:
openai:
api_key: "${OPENAI_API_KEY}"
base_url: "https://api.openai.com/v1"
models:
- "gpt-4o"
- "gpt-4o-mini"
- "o3-high"
- "o3-low"
interface: "openai"
default_model: "gpt-4o-mini"
gemini:
api_key: "${GOOGLE_API_KEY}"
base_url: "https://generativelanguage.googleapis.com/v1beta/openai/"
models:
- "gemini-2.5-flash"
- "gemini-2.5-pro"
- "gemini-2.0-flash"
interface: "openai"
default_model: "gemini-2.5-flash"
anthropic:
api_key: "${ANTHROPIC_API_KEY}"
models:
- "claude-3.5-sonnet-20241022"
- "claude-3.5-haiku-20241022"
interface: "native"
default_model: "claude-3.5-sonnet-20241022"
grok:
api_key: "${XAI_API_KEY}"
base_url: "https://api.x.ai/v1"
models:
- "grok-3"
- "grok-vision-beta"
interface: "native"
default_model: "grok-3"
# Default provider for requests that don't specify one
default_provider: "gemini"
# =============================================================================
# MCP SERVER CONFIGURATION
# =============================================================================
mcp_servers:
# Local STDIO MCP servers
filesystem:
type: "stdio"
command: ["uvx", "mcp-server-filesystem"]
args: ["/home/rpm"]
namespace: "fs"
auto_start: true
restart_on_failure: true
timeout: 30
git:
type: "stdio"
command: ["npx", "@modelcontextprotocol/server-git"]
namespace: "git"
auto_start: true
working_directory: "."
environment:
GIT_EDITOR: "nano"
memory:
type: "stdio"
command: ["npx", "@modelcontextprotocol/server-memory"]
namespace: "memory"
auto_start: true
# Remote HTTP MCP servers (examples)
weather:
type: "http"
url: "https://weather-mcp.example.com"
namespace: "weather"
headers:
Authorization: "Bearer ${WEATHER_API_KEY}"
timeout: 15
database:
type: "http"
url: "https://db-mcp.internal.example.com"
namespace: "db"
auth:
type: "bearer"
token: "${DB_MCP_TOKEN}"
# MCP server connection settings
mcp_settings:
max_concurrent_connections: 10
connection_timeout: 30
heartbeat_interval: 60
auto_reconnect: true
max_reconnect_attempts: 3
# =============================================================================
# HTTP API SERVER CONFIGURATION
# =============================================================================
http_server:
host: "0.0.0.0"
port: 8000
cors_origins: ["*"]
cors_methods: ["GET", "POST", "PUT", "DELETE", "OPTIONS"]
cors_headers: ["*"]
# Authentication (set to false for development)
auth_required: false
api_keys: []
# Rate limiting
rate_limit:
enabled: true
requests_per_minute: 100
burst_limit: 20
# Request/Response limits
max_request_size: 50 # MB
request_timeout: 300 # seconds
# Development settings
reload: true
debug: true
# =============================================================================
# PERFORMANCE CONFIGURATION
# =============================================================================
performance:
# Connection pooling
connection_pool_size: 20
max_connections_per_provider: 10
# Caching
cache:
enabled: true
provider_models_ttl: 300 # 5 minutes
tool_results_ttl: 60 # 1 minute
max_cache_size: 1000 # entries
# Concurrency limits
max_concurrent_requests: 50
max_concurrent_tools: 20
# Timeouts
provider_timeout: 120
tool_timeout: 300
# =============================================================================
# LOGGING CONFIGURATION
# =============================================================================
logging:
level: "${LOG_LEVEL:INFO}"
format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
# Log files
file_logging:
enabled: true
path: "logs/"
max_size: "10MB"
backup_count: 5
# Request logging
access_log: true
error_log: true
# Provider-specific logging
provider_logs:
enabled: true
include_request_body: false
include_response_body: false
# =============================================================================
# MONITORING & HEALTH CHECKS
# =============================================================================
monitoring:
health_check_interval: 30
metrics_enabled: true
# Provider health monitoring
provider_health:
check_interval: 60
failure_threshold: 3
recovery_threshold: 2
# MCP server health monitoring
mcp_health:
check_interval: 30
ping_timeout: 5
restart_failed_servers: true