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Developing instructions for declarative agents is often iterative and typically consists of the following steps Improve accuracy and reduce errors with these expert tips. Create instructions and conversation starters for your agent following the structure and format described in this article.
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This lab will guide you with suggestions to help refine your agent instructions approach drawing from techniques we have experimented over time Provide detailed explanations and prioritize this customer's requests.; These practices have generally contributed to enhancing our agent's behaviour and consistency.
This document explains agent instructions in the context of the azure ai agent service, detailing how they guide agent behavior and define capabilities
Agent instructions serve as the foundation for agent personality, available tools, and response behavior in the contoso sales agent system. To write effective instructions for your declarative agent, consider the following questions What is the goal your agent must accomplish What workflows do you envision your end users going through
Is there business logic you would like to incorporate Is there a desired end user experience you would like to incorporate? Learn how to create your first agent in microsoft copilot studio Give your agent instructions to follow for calling tools, using knowledge sources, and responding to inputs.
There's a bunch of different ways to write effective instructions for an agent, but there's some things we always recommend including
Here's a structure that might work for you Clearly define who the ai is and what its purpose is. Agent instructions are the most critical factor in determining how effective, specialized, and coordinated your ai agents will be This comprehensive guide covers everything you need to know about writing instructions that create powerful, reliable agents.
Dynamic instructions are functions that receive runtime context and return instructions Functions can return a plain string based on context
