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This project offers a production-ready FastAPI application that demonstrates enterprise-grade integration between business applications and Large Language Models via the Model Context Protocol (MCP). It features robust error handling, structured logging, JWT authentication, rate limiting, and Prometheus metrics. The application showcases intelligent service request analysis with advanced function calling using OpenAI's modern tool_calls format, allowing LLMs to dynamically retrieve and update business data for comprehensive, real-time responses with sophisticated error recovery capabilities.

Características Principales

• Enterprise-grade Error Handling featuring structured exceptions and contextual information.
• Production Monitoring with request correlation, structured logging, and Prometheus metrics.
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• MCP Protocol Compliance for standardized LLM-business application integration.
• Advanced Function Calling with multi-turn conversations, retry logic, and error recovery.
• Intelligent Data Access enabling LLMs to dynamically query and update business data.

Casos de Uso

• Building robust AI agents that interact with business data using advanced function calling.
• Implementing multi-turn LLM conversations with automated error recovery and context management.
• Analyzing natural language service requests and providing data-backed estimates or actions.