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/microsoft-foundry

@04110d9
by microsoftmicrosoft/skills3.1k stars
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Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, create agent, update agent, add tool to agent, invoke agent, agent.yaml, agent insights, pull agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, prompt optimizer, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).

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Use this Skill: https://skilld.dev/gh/microsoft/skills/microsoft-foundry

This session only. Nothing lands on disk.

foundry-agentcreatereferencessdk-operations.md

≈554 tokens on demand. Your agent reads this file only when SKILL.md points to it.

SDK Operations for Foundry Agent Service

Use the Foundry MCP tools for agent CRUD operations. When MCP tools are unavailable, use the azure-ai-projects Python SDK or REST API.

Agent Operations via MCP

Operation MCP Tool Description
Create/Update agent agent_update Create a new agent or update an existing one (creates new version)
List/Get agents agent_get List all agents, or get a specific agent by name
Delete agent agent_delete Delete an agent
Invoke agent agent_invoke Send a message to an agent and get a response
Get schema agent_definition_schema_get Get the full JSON schema for agent definitions

SDK Agent Operations

When MCP tools are unavailable, use the azure-ai-projects Python SDK (pip install azure-ai-projects --pre):

from azure.ai.projects import AIProjectClient
from azure.identity import DefaultAzureCredential

endpoint = "https://<resource>.services.ai.azure.com/api/projects/<project>"
client = AIProjectClient(endpoint=endpoint, credential=DefaultAzureCredential())
Operation SDK Method
Create client.agents.create_version(agent_name, definition)
List client.agents.list()
Get client.agents.get(agent_name)
Update client.agents.create_version(agent_name, definition) (creates new version)
Delete client.agents.delete(agent_name)
Chat client.get_openai_client().responses.create(model=<deployment>, input=<text>, extra_body={"agent": {"name": agent_name, "type": "agent_reference"}})

Environment Variables

Variable Description
PROJECT_ENDPOINT Foundry project endpoint (https://<resource>.services.ai.azure.com/api/projects/<project>)
MODEL_DEPLOYMENT_NAME Deployed model name (e.g., gpt-4.1-mini)

References

Source: SKILL.md on GitHub

Third-party checks

2 warnings3d4 checks · Risk SAFE
  • Gen Agent Trust Hub3d

    This skill provides a comprehensive environment for managing the end-to-end lifecycle of AI agents, models, and infrastructure on Microsoft Foundry. It includes sub-skills for deployment, evaluation, fine-tuning, and troubleshooting. The skill utilizes dynamic code execution and shell command wrappers, which are used within the context of local development and cloud orchestration. All external resources and dependencies originate from trusted organizations and well-known services.

  • Socket3d

    2 alerts: gptSecurity, gptAnomaly

  • Snyk3d

    Risk: LOW · No issues

  • Runlayer7mo

    36/36 files flagged

Provenance

Signed by skilld at 04110d9. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 20 hours ago.

Activeupdated last week

Capability

metadata
{
  "author": "Microsoft",
  "version": "1.2.26"
}

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