skills/azure-ai-projects-ts/SKILL.md
High-level SDK for Azure AI Foundry projects with agents, connections, deployments, and evaluations.
npx skillsauth add ranbot-ai/awesome-skills azure-ai-projects-tsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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High-level SDK for Azure AI Foundry projects with agents, connections, deployments, and evaluations.
npm install @azure/ai-projects @azure/identity
For tracing:
npm install @azure/monitor-opentelemetry @opentelemetry/api
AZURE_AI_PROJECT_ENDPOINT=https://<resource>.services.ai.azure.com/api/projects/<project>
MODEL_DEPLOYMENT_NAME=gpt-4o
import { AIProjectClient } from "@azure/ai-projects";
import { DefaultAzureCredential } from "@azure/identity";
const client = new AIProjectClient(
process.env.AZURE_AI_PROJECT_ENDPOINT!,
new DefaultAzureCredential()
);
| Group | Purpose |
|-------|---------|
| client.agents | Create and manage AI agents |
| client.connections | List connected Azure resources |
| client.deployments | List model deployments |
| client.datasets | Upload and manage datasets |
| client.indexes | Create and manage search indexes |
| client.evaluators | Manage evaluation metrics |
| client.memoryStores | Manage agent memory |
const openAIClient = await client.getOpenAIClient();
// Use for responses
const response = await openAIClient.responses.create({
model: "gpt-4o",
input: "What is the capital of France?"
});
// Use for conversations
const conversation = await openAIClient.conversations.create({
items: [{ type: "message", role: "user", content: "Hello!" }]
});
const agent = await client.agents.createVersion("my-agent", {
kind: "prompt",
model: "gpt-4o",
instructions: "You are a helpful assistant."
});
// Code Interpreter
const agent = await client.agents.createVersion("code-agent", {
kind: "prompt",
model: "gpt-4o",
instructions: "You can execute code.",
tools: [{ type: "code_interpreter", container: { type: "auto" } }]
});
// File Search
const agent = await client.agents.createVersion("search-agent", {
kind: "prompt",
model: "gpt-4o",
tools: [{ type: "file_search", vector_store_ids: [vectorStoreId] }]
});
// Web Search
const agent = await client.agents.createVersion("web-agent", {
kind: "prompt",
model: "gpt-4o",
tools: [{
type: "web_search_preview",
user_location: { type: "approximate", country: "US", city: "Seattle" }
}]
});
// Azure AI Search
const agent = await client.agents.createVersion("aisearch-agent", {
kind: "prompt",
model: "gpt-4o",
tools: [{
type: "azure_ai_search",
azure_ai_search: {
indexes: [{
project_connection_id: connectionId,
index_name: "my-index",
query_type: "simple"
}]
}
}]
});
// Function Tool
const agent = await client.agents.createVersion("func-agent", {
kind: "prompt",
model: "gpt-4o",
tools: [{
type: "function",
function: {
name: "get_weather",
description: "Get weather for a location",
strict: true,
parameters: {
type: "object",
properties: { location: { type: "string" } },
required: ["location"]
}
}
}]
});
// MCP Tool
const agent = await client.agents.createVersion("mcp-agent", {
kind: "prompt",
model: "gpt-4o",
tools: [{
type: "mcp",
server_label: "my-mcp",
server_url: "https://mcp-server.example.com",
require_approval: "always"
}]
});
const openAIClient = await client.getOpenAIClient();
// Create conversation
const conversation = await openAIClient.conversations.create({
items: [{ type: "message", role: "user", content: "Hello!" }]
});
// Generate response using agent
const response = await openAIClient.responses.create(
{ conversation: conversation.id },
{ body: { agent: { name: agent.name, type: "agent_reference" } } }
);
// Cleanup
await openAIClient.conversations.delete(conversation.id);
await client.agents.deleteVersion(agent.name, agent.version);
// List all connections
for await (const conn of client.connections.list()) {
console.log(conn.name, conn.type);
}
// Get connection by name
const conn = await client.connections.get("my-connection");
// Get connection with credentials
const connWithCreds = await client.connections.getWithCredentials("my-connection");
// Get default connection by type
const defaultAzureOpenAI = await client.connections.getDefault("AzureOpenAI", true);
// List all deployments
for await (const deployment of client.deployments.list()) {
if (deployment.type === "ModelDeployment") {
console.log(deployment.name, deployment.modelName);
}
}
// Filter by publisher
for await (const d of client.deployments.list({ modelPublisher: "OpenAI" })) {
console.log(d.name);
}
// Get specific deployment
const deployment = await client.deployments.get("gpt-4o");
// Up
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