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deploying-scalable-agents Skill

AI Agent SkillJupyter NotebookOpen source

Take a working agent prototype to a scalable, observable production deployment on Microsoft Foundry. Covers deployment patterns (client-hosted, hosted agents, agent workflows), the agent lifecycle, model routing, response caching, evaluation gates, human-in-the-loop approval, observability with OpenTelemetry, cost opti Published by microsoft in ai-agents-for-beginners.

What is deploying-scalable-agents Skill?

Take a working agent prototype to a scalable, observable production deployment on Microsoft Foundry. Covers deployment patterns (client-hosted, hosted agents, agent workflows), the agent lifecycle, model routing, response caching, evaluation gates, human-in-the-loop approval, observability with OpenTelemetry, cost opti Published by microsoft in ai-agents-for-beginners. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Testing
  • Deployment
  • Testing use cases
  • Deployment use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use deploying-scalable-agents Skill

  • Use it for testing.
  • Use it for deployment.

Built with

Jupyter NotebookCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/ai-agents-for-beginners
  • Skill file: .agents/skills/deploying-scalable-agents/SKILL.md

What it does

Take a working agent prototype to a scalable, observable production deployment on Microsoft Foundry. Covers deployment patterns (client-hosted, hosted agents, agent workflows), the agent lifecycle, model routing, response caching, evaluation gates, human-in-the-loop approval, observability with OpenTelemetry, cost opti

Skill instructions

Deploying Scalable Agents with Microsoft Foundry Companion skill for Lesson 16 – Deploying Scalable Agents. Use it to help a learner move an agent from prototype to a scalable, observable production deployment. Ground every recommendation in the lesson content and the runnable notebook; do not invent Foundry APIs. Triggers Activate this skill when a learner wants to: - Deploy an agent to Microsoft Foundry as a hosted agent and make it versioned/observable. - Choose between client-hosted, hosted-agent, and agent-workflow deployment patterns. - Add model routing, response caching, or bounded concurrency to control latency and cost. - Add an evaluation gate so a bad agent version cannot ship. - Add a human-in-the-loop approval step for high-risk actions. - Instrument an agent with OpenTelemetry tracing for production observability. - Smoke-test a deployed agent as a fast post-deploy gate. Core mental model A production agent is mostly the operational skeleton around the model (~80%), not

Explore related resources

Frequently asked questions

What is deploying-scalable-agents?

deploying-scalable-agents is a open-source AI agent skill with Copy skill directory. Take a working agent prototype to a scalable, observable production deployment on Microsoft Foundry.

Who is deploying-scalable-agents best for?

deploying-scalable-agents is best for reusing agent instructions, scripts, and references, testing workflows, deployment workflows.

How do I install deploying-scalable-agents?

Install or run deploying-scalable-agents using Copy skill directory. Check deploying-scalable-agents for the latest setup command.

Is deploying-scalable-agents actively maintained?

deploying-scalable-agents may need a closer maintenance check before production use.

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License
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