Langchain Prompt Template

Overview

This template provides a robust, structured prompt designed for advanced AI agents that need to interact with external tools. It enforces a specific XML-like structure for tool invocation and final answer delivery, making the agent's reasoning process predictable and parsable by downstream systems.

Capabilities

• Tool Integration: Clearly defines available tools using placeholders ({tools}).
• Structured Calling: Instructs the model to use <tool></tool> and <tool_input></tool_input> tags for tool requests.
• Observation Handling: Defines how the agent should process results from tools using <observation></observation>.
• Final Output Formatting: Mandates a final, conclusive answer within <final_answer></final_answer>, preventing rambling responses.

Example Use Cases

This prompt is ideal for building agents that need to perform multi-step tasks, such as:

1. Information Retrieval Pipelines: An agent needs to search the web (Tool A), then use those results to query a database (Tool B), and finally synthesize the answer.
2. Complex Workflow Automation: Implementing an agent that must first check system status via one tool, analyze logs via another, and report findings in a structured summary.
3. Chatbot with External APIs: Any chatbot requiring more than simple knowledge recall, such as booking flights or checking real-time stock prices.