AgentSkillsCN

ai-foundry-operations

Azure AI Foundry与OpenAI相关操作

SKILL.md
--- frontmatter
name: ai-foundry-operations
description: Azure AI Foundry and OpenAI operations
version: "1.0.0"
license: MIT
tools_required: ["az", "curl"]

When to Use

  • •AI Foundry resource management
  • •Model deployment operations
  • •OpenAI API interactions
  • •RAG pipeline configuration

Prerequisites

  • •Azure CLI authenticated
  • •AI Foundry workspace access
  • •OpenAI resource access

Commands

AI Foundry Resources

bash
# List AI Foundry workspaces
az ml workspace list -o table

# Show workspace details
az ml workspace show --name <workspace> --resource-group <rg>

# List compute resources
az ml compute list --workspace-name <workspace> --resource-group <rg>

OpenAI Deployments

bash
# List Cognitive Services accounts
az cognitiveservices account list -o table

# Show OpenAI account
az cognitiveservices account show --name <account> --resource-group <rg>

# List deployments
az cognitiveservices account deployment list --name <account> --resource-group <rg> -o table

# Check quota
az cognitiveservices usage list --location eastus2 -o table

Model Testing

bash
# Test chat completion
curl -X POST "https://<endpoint>.openai.azure.com/openai/deployments/<deployment>/chat/completions?api-version=2024-02-15-preview" \
  -H "Content-Type: application/json" \
  -H "api-key: $OPENAI_API_KEY" \
  -d '{"messages":[{"role":"user","content":"Hello"}]}'

Best Practices

  1. •Configure content safety filters
  2. •Implement rate limiting
  3. •Use managed identity for authentication
  4. •Monitor token usage and costs
  5. •Enable logging for compliance

Output Format

  1. •Command executed
  2. •Resource status
  3. •Deployment details
  4. •Recommendations

Integration with Agents

Used by: @ai-foundry, @mlops-pipeline