Creating an Agent with Actions in Azure AI Foundry
Azure AI Foundry is an Azure service where you can create agents using various LLMs (including your own). In this post we will look at how to create an agent in Azure AI Foundry that can call actions. Let’s head to Azure AI Foundry to create our agent. AI Foundry is accessible at https://ai.azure.com, however if you don’t have an AI Foundry resource created you may run into the error … Continue reading Creating an Agent with Actions in Azure AI Foundry
The post Creating an Agent with Actions in Azure AI Foundry appeared first on Carl de Souza.
Published on:
Learn moreRelated posts
Introducing Azure HorizonDB - PostgreSQL
Run enterprise Postgres workloads on Azure HorizonDB with around 3x the throughput of self-managed deployments — zone-resilient by default, no...
Azure DevOps and GitHub: Journeying into the AI Era
AI is changing how software gets planned, built, and reviewed. As teams adopt agentic development, the platform underneath those workflows mat...
Introducing azure-functions-skills: An AI-Era Workspace for Azure Functions (Preview)
azure-functions-skills gives GitHub Copilot CLI, Claude Code, Codex CLI, and VS Code the skills, MCP configuration, hooks, and instructions ne...
Announcing the Public Preview of Integrated Embeddings in Azure Cosmos DB: Build AI Apps With Embeddings That Stay in Sync
AI applications built on Azure Cosmos DB depend on embeddings for grounded results. Keeping them in sync with your data is the hard part: it m...
Introducing OmniVec: An Open-Source Embedding Platform for AI Apps on Azure
Today we are open-sourcing OmniVec, a platform for building and operating the embedding pipelines that keep the vector representation of your ...