---
title: Quickstart
description: Turn your Microsoft Agent Framework agent into an agent-native application in 10 minutes.
icon: "lucide/Play"
hideTOC: true
---
<video
  src="https://cdn.copilotkit.ai/docs/copilotkit/images/coagents/chat-example.mp4"
  className="rounded-lg shadow-xl"
  loop
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/>

## Prerequisites

Before you begin, you'll need the following:

- A GitHub Personal Access Token (for GitHub Models API - free AI access)
- .NET 9.0 SDK or later
- Node.js 20+
- Your favorite package manager (npm, pnpm, yarn, or bun)

## Getting started

<Steps>
    <TailoredContent
        className="step"
        id="agent"
        header={
            <div>
                <p className="text-xl font-semibold">Choose your starting point</p>
                <p className="text-base">
                    You can either start fresh with our starter template or integrate CopilotKit into your existing Microsoft Agent Framework agent.
                </p>
            </div>
        }
    >
        <TailoredContentOption
            id="starter"
            title="Start from scratch"
            description="Get started quickly with our ready-to-go starter application."
        >
            <Step>
                ### Run our CLI

                ```bash
                npx copilotkit@latest create
                ```

                The CLI walks you through:

                - **Project name**
                - **Enterprise Intelligence Platform** — persistent threads, observability, and the inspector. Choose **Yes** to scaffold a project pre-wired for the platform (the CLI walks you through sign-up, or you can [create an account](https://dashboard.operations.copilotkit.ai/?utm_source=docs&utm_medium=cta&utm_campaign=intelligence&utm_content=docs_cli_prompt) first), or **No** for a standard Microsoft Agent Framework setup.
                - **Framework** — pick **Microsoft Agent Framework (.NET)** or **Microsoft Agent Framework (Python)** when prompted.

                Or skip the prompts and pin a framework directly:

                ```bash
                # .NET
                npx copilotkit@latest create --framework microsoft-agent-framework-dotnet

                # Python
                npx copilotkit@latest create --framework microsoft-agent-framework-py
                ```
            </Step>
            <Step>
                ### Install dependencies

                The starter includes a `postinstall` script that automatically installs both your npm and agent dependencies.

                ```npm
                npm install
                ```

                <Callout type="info" title="Manual setup">
                  <Tabs groupId="language_microsoft-agent-framework_agent" items={['.NET', 'Python']} persist>
                    <Tab value=".NET">
                      If you have issues with automatic .NET package installation, you can manually restore them:
                      ```bash
                      npm run install:agent
                      ```
                    </Tab>
                    <Tab value="Python">
                      If you have issues with automatic Python setup, you can manually install the agent dependencies:
                      ```bash
                      npm run install:agent
                      # or manually:
                      cd agent
                      uv sync
                      ```
                    </Tab>
                  </Tabs>
                </Callout>
            </Step>
            <Step>
                ### Configure your environment

                <Tabs groupId="language_microsoft-agent-framework_agent" items={['.NET', 'Python']} persist>
                    <Tab value=".NET">
                        The starter template uses GitHub Models API for free access to AI models. Set up your GitHub token:

                        First, get your GitHub token (requires [GitHub CLI](https://github.com/cli/cli)):
                        ```bash
                        gh auth token
                        ```

                        Then navigate to the agent directory and set it as a user secret:
                        ```bash
                        cd agent
                        dotnet user-secrets set GitHubToken "$(gh auth token)"
                        cd ..
                        ```

                        <Callout type="info" title="Want to use a different model provider?">
                          The starter template is configured to use GitHub Models (free), but you can modify it to use:
                          - OpenAI directly
                          - Azure OpenAI
                          - Any other model supported by Microsoft Agent Framework

                          Check the `agent/Program.cs` file to customize the model configuration.
                        </Callout>
                    </Tab>
                    <Tab value="Python">
                        Create a `.env` file inside the `agent` folder with one of the following configurations:

                        ```bash title="agent/.env (OpenAI)"
                        OPENAI_API_KEY=sk-...your-openai-key-here...
                        OPENAI_CHAT_MODEL_ID=gpt-5.4-mini
                        ```

                        ```bash title="agent/.env (Azure OpenAI)"
                        AZURE_OPENAI_ENDPOINT=https://your-resource.openai.azure.com/
                        AZURE_OPENAI_CHAT_DEPLOYMENT_NAME=gpt-5.4-mini
                        # If you are not relying on az login:
                        # AZURE_OPENAI_API_KEY=...
                        ```
                    </Tab>
                </Tabs>
            </Step>
            <Step>
                ### Start the development server

                <Tabs groupId="package-manager" items={['npm', 'pnpm', 'yarn', 'bun']}>
                    <Tab value="npm">
                        ```bash
                        npm run dev
                        ```
                    </Tab>
                    <Tab value="pnpm">
                        ```bash
                        pnpm dev
                        ```
                    </Tab>
                    <Tab value="yarn">
                        ```bash
                        yarn dev
                        ```
                    </Tab>
                    <Tab value="bun">
                        ```bash
                        bun dev
                        ```
                    </Tab>
                </Tabs>

                This will start both the Next.js UI (port 3000) and agent server (port 8000) concurrently.
            </Step>
        </TailoredContentOption>
        <TailoredContentOption
            id="bring-your-own"
            title="Use an existing agent"
            description="I already have a Microsoft Agent Framework agent and want to add CopilotKit."
        >
            <Step>
                ### Start your Microsoft Agent Framework agent

                Make sure your agent is running and exposing an AG-UI endpoint. Here's a minimal example:

                <Tabs groupId="language_microsoft-agent-framework_agent" items={['.NET', 'Python']} persist>
                    <Tab value=".NET">
                        First, setup a new .NET project:
                        ```bash
                        dotnet new web -n AGUIServer
                        cd AGUIServer
                        dotnet add package Microsoft.Agents.AI.Hosting.AGUI.AspNetCore --version 1.0.0-preview.251110.1
                        dotnet add package Microsoft.Extensions.AI.OpenAI --version 9.10.2-preview.1.25552.1
                        dotnet add package OpenAI --version 2.6.0
                        dotnet user-secrets init
                        ```

                        Build a minimal agent and serve it via AG-UI:

                        ```csharp title="Program.cs"
                        using Microsoft.Agents.AI;
                        // [!code highlight:1]
                        using Microsoft.Agents.AI.Hosting.AGUI.AspNetCore;
                        using Microsoft.Extensions.AI;
                        using OpenAI;

                        var builder = WebApplication.CreateBuilder(args);
                        // [!code highlight:1]
                        builder.Services.AddAGUI();
                        var app = builder.Build();

                        // Get your GitHub token for GitHub Models (free)
                        var githubToken = builder.Configuration["GitHubToken"]!;
                        var openAI = new OpenAIClient(
                            new System.ClientModel.ApiKeyCredential(githubToken),
                            new OpenAIClientOptions {
                                Endpoint = new Uri("https://models.inference.ai.azure.com")
                            });

                        var chatClient = openAI.GetChatClient("gpt-5.4-mini").AsIChatClient();
                        var agent = new ChatClientAgent(
                            chatClient,
                            name: "MyAgent",
                            description: "You are a helpful assistant.");

                        // [!code highlight:1]
                        app.MapAGUI("/", agent);
                        app.Run("http://localhost:8000");
                        ```

                        Then just setup the environment and run your agent:

                        ```bash
                        # Set your GitHub token and run
                        dotnet user-secrets set GitHubToken "$(gh auth token)"
                        dotnet run
                        ```
                    </Tab>
                    <Tab value="Python">

                        Create a python project

                        ```bash
                        uv init my-agent
                        cd my-agent
                        uv add agent-framework-ag-ui python-dotenv uvicorn agent-framework-openai
                        ```
                        Create a minimal FastAPI server that exposes a Microsoft Agent Framework agent over AG-UI:
                        Replace main.py file with the following 

                        ```python title="main.py"
                        from __future__ import annotations
                        import os
                        import uvicorn
                        from agent_framework import Agent
                        from agent_framework.openai import OpenAIChatClient
                        from agent_framework.ag_ui import add_agent_framework_fastapi_endpoint
                        from dotenv import load_dotenv
                        from fastapi import FastAPI

                        load_dotenv()

                        def _build_chat_client():
                            if os.getenv("AZURE_OPENAI_ENDPOINT"):
                                return OpenAIChatClient(
                                    model=os.getenv("AZURE_OPENAI_CHAT_DEPLOYMENT_NAME", "gpt-4o-mini"),
                                    api_key=os.getenv("AZURE_OPENAI_API_KEY"),
                                    azure_endpoint=os.getenv("AZURE_OPENAI_ENDPOINT"),
                                )
                            if os.getenv("OPENAI_API_KEY"):
                                return OpenAIChatClient(
                                    model=os.getenv("OPENAI_CHAT_MODEL_ID", "gpt-4o-mini"),
                                    api_key=os.getenv("OPENAI_API_KEY"),
                                )
                            raise RuntimeError(
                                "Set either AZURE_OPENAI_ENDPOINT + AZURE_OPENAI_API_KEY, or OPENAI_API_KEY."
                            )

                        chat_client = _build_chat_client()

                        agent = Agent(
                            name="MyAgent",
                            instructions="You are a helpful assistant.",
                            client=chat_client,
                        )

                        app = FastAPI(title="Microsoft Agent Framework - Quickstart")
                        add_agent_framework_fastapi_endpoint(app=app, agent=agent, path="/")

                        if __name__ == "__main__":
                            uvicorn.run("main:app", host="0.0.0.0", port=8000, reload=True)
                        ```

                        Then set your environment and run:

                        ```bash
                        # OpenAI (agent/.env)
                        OPENAI_API_KEY=sk-...your-openai-key-here...
                        OPENAI_CHAT_MODEL_ID=gpt-5.4-mini
                        # or Azure OpenAI (agent/.env)
                        AZURE_OPENAI_ENDPOINT=https://your-resource.openai.azure.com/
                        AZURE_OPENAI_CHAT_DEPLOYMENT_NAME=gpt-5.4-mini
                        # (optional) AZURE_OPENAI_API_KEY=...

                        # Run the agent
                        uv run main.py
                        ```
                    </Tab>
                </Tabs>

            </Step>
            <Step>
                ### Frontend Setup
                CopilotKit works with any React-based frontend. We'll use Next.js for this example.

                In a new terminal window, run the following commands:

                ```bash
                npx create-next-app@latest my-copilot-app
                cd my-copilot-app
                ```
            </Step>
            <Step>
                ### Install CopilotKit packages

                ```npm
                npm install @copilotkit/react-core @copilotkit/runtime @ag-ui/client
                ```
            </Step>
            <Step>
                ### Setup Copilot Runtime

                CopilotKit requires a Copilot Runtime endpoint to safely communicate with your agent. This can be served
                anywhere that Node.js can run, but for this example we'll use Next.js.

                Create a new API route at `app/api/copilotkit/route.ts`:

                ```tsx title="app/api/copilotkit/route.ts"
                import {
                  CopilotRuntime,
                  ExperimentalEmptyAdapter,
                  copilotRuntimeNextJSAppRouterEndpoint,
                } from "@copilotkit/runtime";
                import { HttpAgent } from "@ag-ui/client";
                import { NextRequest } from "next/server";

                // 1. You can use any service adapter here for multi-agent support. We use
                //    the empty adapter since we're only using one agent.
                const serviceAdapter = new ExperimentalEmptyAdapter();

                // 2. Create the CopilotRuntime instance and utilize the Microsoft Agent Framework
                //    AG-UI integration to setup the connection.
                // [!code highlight:5]
                const runtime = new CopilotRuntime({
                  agents: {
                    my_agent: new HttpAgent({ url: "http://localhost:8000/" }),
                  },
                });

                // 3. Build a Next.js API route that handles the CopilotKit runtime requests.
                export const POST = async (req: NextRequest) => {
                  const { handleRequest } = copilotRuntimeNextJSAppRouterEndpoint({
                    runtime,
                    serviceAdapter,
                    endpoint: "/api/copilotkit",
                  });

                  return handleRequest(req);
                };
                ```
            </Step>
            <Step>
                ### Configure CopilotKit Provider

                Next, wrap your application with the CopilotKit provider so that CopilotKit can take control across your application
                via the Microsoft Agent Framework agent.

                ```tsx title="app/layout.tsx"
                import { CopilotKit } from "@copilotkit/react-core/v2"; // [!code highlight]
                import "@copilotkit/react-core/v2/styles.css";
                import './globals.css';

                export default function RootLayout({ children }: {children: React.ReactNode}) {
                  return (
                    <html lang="en">
                      <body>
                        {/* [!code highlight:3] */}
                        <CopilotKit runtimeUrl="/api/copilotkit" agent="my_agent">
                          {children}
                        </CopilotKit>
                      </body>
                    </html>
                  );
                }
                ```
            </Step>
            <Step>
              ### Add the chat interface

              Add the CopilotSidebar component to your page:

              ```tsx title="app/page.tsx"
              "use client";

              // [!code highlight:1]
              import { CopilotSidebar } from "@copilotkit/react-core/v2";

              export default function Page() {
                return (
                  <main>
                    {/* [!code highlight:6] */}
                    <CopilotSidebar
                      labels={{
                        modalHeaderTitle: "Your Assistant",
                        welcomeMessageText: "Hi! How can I help you today?",
                      }}
                    />
                    <h1>Your App</h1>
                  </main>
                );
              }
              ```
            </Step>
            <Step>
              ### Run and start your Next.js app
              To run the Next.js app we just created, use the following command:

              <Tabs groupId="package-manager" items={['npm', 'pnpm', 'yarn', 'bun']}>
                  <Tab value="npm">
                      ```bash
                      npm run dev
                      ```
                  </Tab>
                  <Tab value="pnpm">
                      ```bash
                      pnpm dev
                      ```
                  </Tab>
                  <Tab value="yarn">
                      ```bash
                      yarn dev
                      ```
                  </Tab>
                  <Tab value="bun">
                      ```bash
                      bun dev
                      ```
                  </Tab>
              </Tabs>
            </Step>
        </TailoredContentOption>
    </TailoredContent>
    <Step>
        ### 🎉 Start chatting!

        Your AI agent is now ready to use! Try asking it some questions:

        ```
        Can you tell me a joke?
        ```

        ```
        Can you help me understand AI?
        ```

        ```
        What do you think about .NET?
        ```

        <Accordions className="mb-4">
            <Accordion title="Troubleshooting">
                **Agent Connection Issues**
                - If you see "I'm having trouble connecting to my tools", make sure:
                  - The C# agent is running on port 8000
                  - Your GitHub token is set correctly via user secrets
                  - Both servers started successfully (check terminal output)

                **GitHub Token Issues**
                - If the agent fails with "GitHubToken not found":
                  ```bash
                  cd agent
                  dotnet user-secrets set GitHubToken "$(gh auth token)"
                  ```

                **.NET SDK Issues**
                - Verify .NET SDK is installed:
                  ```bash
                  dotnet --version  # Should be 9.0.x or higher
                  ```
                - Restore packages manually if needed:
                  ```bash
                  cd agent
                  dotnet restore
                  dotnet run
                  ```

                **Port Conflicts**
                - If port 8000 is already in use, you can change it in:
                  - `agent/Properties/launchSettings.json` - Update `applicationUrl`
                  - `src/app/api/copilotkit/route.ts` - Update the remote endpoint URL
            </Accordion>
        </Accordions>

    </Step>
</Steps>

## What's next?

Now that you have your basic agent setup, explore these advanced features:

<Cards>
  <Card
    title="Implement Human in the Loop"
    description="Allow your users and agents to collaborate together on tasks."
    href="/microsoft-agent-framework/human-in-the-loop"
    icon={<UserIcon />}
  />
  <Card
    title="Utilize Shared State"
    description="Learn how to synchronize your agent's state with your UI's state, and vice versa."
    href="/microsoft-agent-framework/shared-state"
    icon={<RepeatIcon />}
  />
  <Card
    title="Add some generative UI"
    description="Render your agent's progress and output in the UI."
    href="/microsoft-agent-framework/generative-ui/tool-rendering"
    icon={<PaintbrushIcon />}
  />
  <Card
    title="Setup frontend actions"
    description="Give your agent the ability to call frontend tools, directly updating your application."
    href="/microsoft-agent-framework/frontend-tools"
    icon={<WrenchIcon />}
  />
</Cards>
