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- Optimize agent prompts with Prompt Optimizer (preview) - Microsoft Foundry
Learn how to use Prompt Optimizer in Microsoft Foundry to automatically improve your agent's system instructions using AI-driven prompt engineering best practices
- azure-ai-docs articles foundry observability how-to prompt . . . - GitHub
Use Prompt Optimizer in Microsoft Foundry to automatically improve your agent's system instructions Prompt Optimizer applies prompt-engineering best practices to restructure, clarify, and enhance your instructions It provides transparent, paragraph-level reasoning for every change
- Best Practices for Agent System Prompts - docs. treasuredata. com
The behavior and quality of an agent in AI Agent Foundry depend heavily on its System Prompt This guide outlines best practices for designing effective prompts to ensure your agent performs as intended
- Prompt Engineering For Agent Optimization - AppMakers USA
This guide breaks down practical techniques founders and product teams can use to boost agent performance, covering foundational strategies, advanced optimization tools, and domain-specific adaptations that improve agent intelligence without rewriting the architecture
- Quickstart: Create a prompt agent - Microsoft Foundry
In this quickstart, you create a prompt agent in Foundry Agent Service and have a conversation with it A prompt agent is a declaratively defined agent that combines model configuration, instructions, tools, and natural language prompts to drive behavior If you don't have an Azure subscription, create a free account
- Stop Picking Models. Start Routing Prompts. | by Mouhamadou Diallo . . .
Azure AI Foundry’s Model Router is a model that routes each prompt in real time to the most suitable underlying LLM based on attributes like complexity, task type, and reasoning needs — while
- GitHub-Copilot-for-Azure plugin skills microsoft-foundry SKILL. md at . . .
This skill helps developers work with Microsoft Foundry resources, covering model discovery and deployment, complete dev lifecycle of AI agent, evaluation workflows, and troubleshooting
- Prompt engineering techniques - Microsoft Foundry
In practice, the prompt acts to help the model complete the desired task, but it's more of an art than a science, often requiring experience and intuition to craft a successful prompt The goal of this article is to help get you started with this learning process
- skills . github plugins azure-skills skills microsoft-foundry foundry . . .
Agent Observability Loop Orchestrate the full eval-driven optimization cycle for a Foundry agent This skill manages the multi-step workflow for a selected agent root and environment: reusing or refreshing foundry cache, auto-creating evaluators, generating test datasets, running batch evals, clustering failures, optimizing prompts, redeploying, and comparing versions Use this skill instead
- Prompt Flow Isn’t Just Prompts: How to Design, Debug, and . . . - Medium
Prompt Flow is a game-changing tool inside Azure AI Foundry that transforms how we build, test, and deploy Large Language Model (LLM) applications Think of it as your AI app’s entire lifecycle
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