DSPy ReAct Agent for Airline Customer Service - Part 5/5 скачать в хорошем качестве

DSPy ReAct Agent for Airline Customer Service - Part 5/5

Build a DSPy ReAct agent for airline customer service that combines reasoning with tool execution. This tutorial demonstrates agent initialization with domain-specific tools like flight booking and itinerary management. #DSPy #ReAct #Python #AI #CustomerService #LLM #AgenticAI Zen Koan Explanation: The code creates a ReAct agent that dynamically selects and executes tools (like `fetch_flight_info` or `book_flight`) to complete tasks, such as booking a flight, by interleaving reasoning and action steps. The zen koan humorously highlights this behavior—while the agent can fetch itineraries (via tools), its "dream" of doing so is only realized through explicit tool calls, emphasizing the gap between the agent's potential capabilities and its actual execution. Source: https://dspy.ai/tutorials/customer_se...