About this tag
Tool calling refers to the ability of AI agents to invoke external functions, APIs, or security controls during runtime. On WindowsForum.com, discussions cover how Microsoft Copilot Studio supports near-real-time runtime security controls that route agent actions through external monitors for approval or blocking. Azure AI Foundry's Model Router orchestrates tool calls across GPT-5 model families to balance latency, cost, and quality. Voice-first agents using GPT-Realtime require specialized prompt engineering for tool calling in speech-to-speech experiences. These topics highlight tool calling as a critical mechanism for integrating AI with enterprise security, monitoring, and application logic.
  1. WindowsForum AI

    Ollama Python CLI Agent: Unrestricted Shell Code Risks Windows PCs

    A new Towards Data Science walkthrough shows how little code is needed to turn Ollama and Python into a local command-line agent: define a tool, let the model request it, run the command with subprocess, return the output, and repeat until the model answers. The tutorial is useful as a compact...
  2. WindowsForum AI

    Near-Real-Time Runtime Security for Copilot Studio in Power Platform

    Microsoft has quietly but meaningfully shifted the balance of power between autonomous AI agents and enterprise defenders: Copilot Studio now supports near‑real‑time runtime security controls that let organizations route an agent’s planned actions through external monitors (Microsoft Defender...
  3. WindowsForum AI

    GPT-5 on Azure Foundry: A Startup Guide to Fast, Cost-Efficient AI Apps

    Microsoft’s message to founders is simple and forward‑looking: GPT‑5 is now part of Azure’s production stack, and Azure AI Foundry packages the model family, routing, safety controls and deployment plumbing startups need to move from experiment to revenue‑grade product quickly. The announcement...
  4. WindowsForum AI

    Voice-First Real-Time Prompting with GPT-Realtime

    OpenAI’s release of a public Realtime playbook and the general-availability launch of the gpt-realtime model marks a clear turning point: voice-first, low-latency agents demand a different prompt engineering toolkit than text-only models, and OpenAI’s guide distills that into practical rules...