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m365-agents-ts

Microsoft 365 Agents SDK for TypeScript/Node.js. Build multichannel agents for Teams/M365/Copilot Studio with AgentApplication routing, Express hosting, streaming responses, and Copilot Studio client integration. Triggers: "Microsoft 365 Agents SDK", "@microsoft/agents-hosting",

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Part of microsoft/skills — 195 skills

Install

skills CLI npx skills add https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-typescript/skills/m365-agents-ts
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install microsoft-skills@llmmart
Git git clone https://github.com/microsoft/skills.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole microsoft/skills collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Microsoft 365 Agents SDK (TypeScript)

Build enterprise agents for Microsoft 365, Teams, and Copilot Studio using the Microsoft 365 Agents SDK with Express hosting, AgentApplication routing, streaming responses, and Copilot Studio client integrations.

Before implementation

  • Use the microsoft-docs MCP to verify the latest API signatures for AgentApplication, startServer, and CopilotStudioClient.
  • Confirm package versions on npm before wiring up samples or templates.

Installation

npm install @microsoft/agents-hosting @microsoft/agents-hosting-express @microsoft/agents-activity
npm install @microsoft/agents-copilotstudio-client

Environment Variables

PORT=3978
AZURE_RESOURCE_NAME=<azure-openai-resource>
AZURE_API_KEY=<azure-openai-key>
AZURE_OPENAI_DEPLOYMENT_NAME=gpt-4o-mini

TENANT_ID=<tenant-id>
CLIENT_ID=<client-id>
CLIENT_SECRET=<client-secret>

COPILOT_ENVIRONMENT_ID=<environment-id>
COPILOT_SCHEMA_NAME=<schema-name>
COPILOT_CLIENT_ID=<copilot-app-client-id>
COPILOT_BEARER_TOKEN=<copilot-jwt>

Core Workflow: Express-hosted AgentApplication

import {
  AgentApplication,
  TurnContext,
  TurnState,
} from "@microsoft/agents-hosting";
import { startServer } from "@microsoft/agents-hosting-express";

const agent = new AgentApplication<TurnState>();

agent.onConversationUpdate("membersAdded", async (context: TurnContext) => {
  await context.sendActivity("Welcome to the agent.");
});

agent.onMessage("hello", async (context: TurnContext) => {
  await context.sendActivity(`Echo: ${context.activity.text}`);
});

startServer(agent);

Streaming responses with Azure OpenAI

import { azure } from "@ai-sdk/azure";
import {
  AgentApplication,
  TurnContext,
  TurnState,
} from "@microsoft/agents-hosting";
import { startServer } from "@microsoft/agents-hosting-express";
import { streamText } from "ai";

const agent = new AgentApplication<TurnState>();

agent.onMessage("poem", async (context: TurnContext) => {
  context.streamingResponse.setFeedbackLoop(true);
  context.streamingResponse.setGeneratedByAILabel(true);
  context.streamingResponse.setSensitivityLabel({
    type: "https://schema.org/Message",
    "@type": "CreativeWork",
    name: "Internal",
  });

  await context.streamingResponse.queueInformativeUpdate("starting a poem...");

  const { fullStream } = streamText({
    model: azure(process.env.AZURE_OPENAI_DEPLOYMENT_NAME || "gpt-4o-mini"),
    system: "You are a creative assistant.",
    prompt: "Write a poem about Apollo.",
  });

  try {
    for await (const part of fullStream) {
      if (part.type === "text-delta" && part.text.length > 0) {
        await context.streamingResponse.queueTextChunk(part.text);
      }
      if (part.type === "error") {
        throw new Error(`Streaming error: ${part.error}`);
      }
    }
  } finally {
    await context.streamingResponse.endStream();
  }
});

startServer(agent);

Invoke activity handling

import { Activity, ActivityTypes } from "@microsoft/agents-activity";
import {
  AgentApplication,
  TurnContext,
  TurnState,
} from "@microsoft/agents-hosting";

const agent = new AgentApplication<TurnState>();

agent.onActivity("invoke", async (context: TurnContext) => {
  const invokeResponse = Activity.fromObject({
    type: ActivityTypes.InvokeResponse,
    value: { status: 200 },
  });

  await context.sendActivity(invokeResponse);
  await context.sendActivity("Thanks for submitting your feedback.");
});

Copilot Studio client (Direct to Engine)

import { CopilotStudioClient } from "@microsoft/agents-copilotstudio-client";

const settings = {
  environmentId: process.env.COPILOT_ENVIRONMENT_ID!,
  schemaName: process.env.COPILOT_SCHEMA_NAME!,
  clientId: process.env.COPILOT_CLIENT_ID!,
};

const tokenProvider = async (): Promise<string> => {
  return process.env.COPILOT_BEARER_TOKEN!;
};

const client = new CopilotStudioClient(settings, tokenProvider);

const conversation = await client.startConversationAsync();
const reply = await client.askQuestionAsync("Hello!", conversation.id);
console.log(reply);

Copilot Studio WebChat integration

import { CopilotStudioWebChat } from "@microsoft/agents-copilotstudio-client";

const directLine = CopilotStudioWebChat.createConnection(client, {
  showTyping: true,
});

window.WebChat.renderWebChat(
  {
    directLine,
  },
  document.getElementById("webchat")!,
);

Best Practices

  1. Use AgentApplication for routing and keep handlers focused on one responsibility.
  2. Prefer streamingResponse for long-running completions and call endStream in finally blocks.
  3. Keep secrets out of source code; load tokens from environment variables or secure stores.
  4. Reuse CopilotStudioClient instances and cache tokens in your token provider.
  5. Validate invoke payloads before logging or persisting feedback.

Reference Links

Resource URL
Microsoft 365 Agents SDK https://learn.microsoft.com/en-us/microsoft-365/agents-sdk/
JavaScript SDK overview https://learn.microsoft.com/en-us/javascript/api/overview/agents-overview?view=agents-sdk-js-latest
@microsoft/agents-hosting-express https://learn.microsoft.com/en-us/javascript/api/%40microsoft/agents-hosting-express?view=agents-sdk-js-latest
@microsoft/agents-copilotstudio-client https://learn.microsoft.com/en-us/javascript/api/%40microsoft/agents-copilotstudio-client?view=agents-sdk-js-latest
Integrate with Copilot Studio https://learn.microsoft.com/en-us/microsoft-365/agents-sdk/integrate-with-mcs
GitHub samples https://github.com/microsoft/Agents/tree/main/samples/nodejs
Files (skills)
  • SKILL.md 6.7 KB
    ---
    name: m365-agents-ts
    description: |
      Microsoft 365 Agents SDK for TypeScript/Node.js. Build multichannel agents for Teams/M365/Copilot Studio with AgentApplication routing, Express hosting, streaming responses, and Copilot Studio client integration. Triggers: "Microsoft 365 Agents SDK", "@microsoft/agents-hosting", "AgentApplication", "startServer", "streamingResponse", "Copilot Studio client", "@microsoft/agents-copilotstudio-client".
    license: MIT
    metadata:
      author: Microsoft
      version: "1.0.0"
      package: "@microsoft/agents-hosting, @microsoft/agents-hosting-express, @microsoft/agents-activity, @microsoft/agents-copilotstudio-client"
    ---
    
    # Microsoft 365 Agents SDK (TypeScript)
    
    Build enterprise agents for Microsoft 365, Teams, and Copilot Studio using the Microsoft 365 Agents SDK with Express hosting, AgentApplication routing, streaming responses, and Copilot Studio client integrations.
    
    ## Before implementation
    
    - Use the microsoft-docs MCP to verify the latest API signatures for AgentApplication, startServer, and CopilotStudioClient.
    - Confirm package versions on npm before wiring up samples or templates.
    
    ## Installation
    
    ```bash
    npm install @microsoft/agents-hosting @microsoft/agents-hosting-express @microsoft/agents-activity
    npm install @microsoft/agents-copilotstudio-client
    ```
    
    ## Environment Variables
    
    ```bash
    PORT=3978
    AZURE_RESOURCE_NAME=<azure-openai-resource>
    AZURE_API_KEY=<azure-openai-key>
    AZURE_OPENAI_DEPLOYMENT_NAME=gpt-4o-mini
    
    TENANT_ID=<tenant-id>
    CLIENT_ID=<client-id>
    CLIENT_SECRET=<client-secret>
    
    COPILOT_ENVIRONMENT_ID=<environment-id>
    COPILOT_SCHEMA_NAME=<schema-name>
    COPILOT_CLIENT_ID=<copilot-app-client-id>
    COPILOT_BEARER_TOKEN=<copilot-jwt>
    ```
    
    ## Core Workflow: Express-hosted AgentApplication
    
    ```typescript
    import {
      AgentApplication,
      TurnContext,
      TurnState,
    } from "@microsoft/agents-hosting";
    import { startServer } from "@microsoft/agents-hosting-express";
    
    const agent = new AgentApplication<TurnState>();
    
    agent.onConversationUpdate("membersAdded", async (context: TurnContext) => {
      await context.sendActivity("Welcome to the agent.");
    });
    
    agent.onMessage("hello", async (context: TurnContext) => {
      await context.sendActivity(`Echo: ${context.activity.text}`);
    });
    
    startServer(agent);
    ```
    
    ## Streaming responses with Azure OpenAI
    
    ```typescript
    import { azure } from "@ai-sdk/azure";
    import {
      AgentApplication,
      TurnContext,
      TurnState,
    } from "@microsoft/agents-hosting";
    import { startServer } from "@microsoft/agents-hosting-express";
    import { streamText } from "ai";
    
    const agent = new AgentApplication<TurnState>();
    
    agent.onMessage("poem", async (context: TurnContext) => {
      context.streamingResponse.setFeedbackLoop(true);
      context.streamingResponse.setGeneratedByAILabel(true);
      context.streamingResponse.setSensitivityLabel({
        type: "https://schema.org/Message",
        "@type": "CreativeWork",
        name: "Internal",
      });
    
      await context.streamingResponse.queueInformativeUpdate("starting a poem...");
    
      const { fullStream } = streamText({
        model: azure(process.env.AZURE_OPENAI_DEPLOYMENT_NAME || "gpt-4o-mini"),
        system: "You are a creative assistant.",
        prompt: "Write a poem about Apollo.",
      });
    
      try {
        for await (const part of fullStream) {
          if (part.type === "text-delta" && part.text.length > 0) {
            await context.streamingResponse.queueTextChunk(part.text);
          }
          if (part.type === "error") {
            throw new Error(`Streaming error: ${part.error}`);
          }
        }
      } finally {
        await context.streamingResponse.endStream();
      }
    });
    
    startServer(agent);
    ```
    
    ## Invoke activity handling
    
    ```typescript
    import { Activity, ActivityTypes } from "@microsoft/agents-activity";
    import {
      AgentApplication,
      TurnContext,
      TurnState,
    } from "@microsoft/agents-hosting";
    
    const agent = new AgentApplication<TurnState>();
    
    agent.onActivity("invoke", async (context: TurnContext) => {
      const invokeResponse = Activity.fromObject({
        type: ActivityTypes.InvokeResponse,
        value: { status: 200 },
      });
    
      await context.sendActivity(invokeResponse);
      await context.sendActivity("Thanks for submitting your feedback.");
    });
    ```
    
    ## Copilot Studio client (Direct to Engine)
    
    ```typescript
    import { CopilotStudioClient } from "@microsoft/agents-copilotstudio-client";
    
    const settings = {
      environmentId: process.env.COPILOT_ENVIRONMENT_ID!,
      schemaName: process.env.COPILOT_SCHEMA_NAME!,
      clientId: process.env.COPILOT_CLIENT_ID!,
    };
    
    const tokenProvider = async (): Promise<string> => {
      return process.env.COPILOT_BEARER_TOKEN!;
    };
    
    const client = new CopilotStudioClient(settings, tokenProvider);
    
    const conversation = await client.startConversationAsync();
    const reply = await client.askQuestionAsync("Hello!", conversation.id);
    console.log(reply);
    ```
    
    ## Copilot Studio WebChat integration
    
    ```typescript
    import { CopilotStudioWebChat } from "@microsoft/agents-copilotstudio-client";
    
    const directLine = CopilotStudioWebChat.createConnection(client, {
      showTyping: true,
    });
    
    window.WebChat.renderWebChat(
      {
        directLine,
      },
      document.getElementById("webchat")!,
    );
    ```
    
    ## Best Practices
    
    1. Use AgentApplication for routing and keep handlers focused on one responsibility.
    2. Prefer streamingResponse for long-running completions and call endStream in finally blocks.
    3. Keep secrets out of source code; load tokens from environment variables or secure stores.
    4. Reuse CopilotStudioClient instances and cache tokens in your token provider.
    5. Validate invoke payloads before logging or persisting feedback.
    
    ## Reference Links
    
    | Resource                               | URL                                                                                                                 |
    | -------------------------------------- | ------------------------------------------------------------------------------------------------------------------- |
    | Microsoft 365 Agents SDK               | https://learn.microsoft.com/en-us/microsoft-365/agents-sdk/                                                         |
    | JavaScript SDK overview                | https://learn.microsoft.com/en-us/javascript/api/overview/agents-overview?view=agents-sdk-js-latest                 |
    | @microsoft/agents-hosting-express      | https://learn.microsoft.com/en-us/javascript/api/%40microsoft/agents-hosting-express?view=agents-sdk-js-latest      |
    | @microsoft/agents-copilotstudio-client | https://learn.microsoft.com/en-us/javascript/api/%40microsoft/agents-copilotstudio-client?view=agents-sdk-js-latest |
    | Integrate with Copilot Studio          | https://learn.microsoft.com/en-us/microsoft-365/agents-sdk/integrate-with-mcs                                       |
    | GitHub samples                         | https://github.com/microsoft/Agents/tree/main/samples/nodejs                                                        |
    

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