#microsoftfoundry

2025-12-18

🟦 Tool calling in LLMs with Python — Microsoft Foundry 🔹

Andrew Hess demos a pro-code pattern: let the model request a function, execute it in Python, and return the real-world result (weather example). This keeps tool use explicit and execution under developer control.

💡 • Model decides when to call a tool; Python runs the call and feeds back results
🔍 • Uses Foundry/Azure SDK flows: define tools, pass to agents, handle tool_call IDs
⚖️ • Outcome: predictable, secure integrations with RAG and managed compute

▶︎hubsite365.com/en-ww/pro-offic

Watch the walkthrough and grab the examples from the repo. 🚀
#MicrosoftFoundry #LLM #Python #AIDevelopment

Brandon H :csharp: :verified:bc3tech@hachyderm.io
2025-12-04
2025-12-01

🟦 Build AI Interface in Power Apps with Microsoft Foundry
Bring LLM power into Power Apps with a custom Microsoft Foundry connector—swap models on the fly and A/B test prompts. 🚀

💡 Custom connector + canvas app + dynamic model selection
🔍 Prompt roles (user/system/assistant), JSON params, and token A/B testing
⚖️ BYOM, agent collaboration, and enterprise-grade security

▶︎hubsite365.com/en-ww/citizen-d

Ready to prototype this in your next Power Platform project?
#PowerApps #MicrosoftFoundry #AI #LowCode

2025-11-27

🟦 Microsoft Foundry: New UI & Agentic Retrieval
a full agent factory with a redesigned UI, Foundry IQ, agent memory, workflows and enterprise controls. It's more than a rename; it reshapes how organizations build and govern AI agents. 🚀

💡 New UI + Foundry IQ simplify RAG and cross-source grounding.
🔍 Agentic retrieval, memory and multi-agent workflows enable stateful, reliable agents.
⚖️ Control plane, Entra Agent ID and M365 integrations secure deployment to Teams and Copilot. 🔹

▶︎hubsite365.com/en-ww/citizen-d

Want a short deep-dive or screenshots?
#MicrosoftFoundry #AzureAI #AIAgents #CopilotStudio

Brandon H :csharp: :verified:bc3tech@hachyderm.io
2025-11-26
Brandon H :csharp: :verified:bc3tech@hachyderm.io
2025-11-21

Client Info

Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst