Microsoft Agent Framework

Send requests from your Microsoft Agent Framework agents through the Logfire AI Gateway.

Microsoft Agent Framework is Microsoft’s SDK for building multi-agent AI applications. Both examples point an OpenAI chat completion client at an OpenAI-compatible gateway route.

Before you start

• Complete the AI Gateway prerequisites, including setting LOGFIRE_GATEWAY_API_KEY in your terminal.
• Use an existing Microsoft Agent Framework project with the packages imported by your chosen example installed.

Model data passes through Logfire

This configuration sends prompts, tool inputs, and model responses through the Logfire AI Gateway and the selected model provider. If gateway telemetry is enabled, Logfire stores the conversation content in your selected project. Calls to built-in providers count toward your gateway spend.

Python

Set api_key to your gateway key and base_url to the OpenAI-compatible gateway route. Copy the route and a supported model name from the Gateway Connect tab.

microsoft-agent-framework-gateway.py

import asyncio
import os

from agent_framework.openai import OpenAIChatCompletionClient


async def main() -> None:
    agent = OpenAIChatCompletionClient(
        model='gpt-5.4-mini',
        api_key=os.environ['LOGFIRE_GATEWAY_API_KEY'],
        base_url='https://gateway-us.pydantic.dev/proxy/openai',
    ).as_agent(
        name='WeatherAgent',
        instructions='You are a concise weather assistant.',
    )
    result = await agent.run('What is the weather in London?')
    print(result)


if __name__ == '__main__':
    asyncio.run(main())

.NET

Pass the same key and route to the .NET OpenAIClient.

microsoft-agent-framework-gateway.cs

using Microsoft.Agents.AI;
using OpenAI;
using OpenAI.Chat;

using var cts = new CancellationTokenSource(TimeSpan.FromSeconds(60));

var apiKey = Environment.GetEnvironmentVariable("LOGFIRE_GATEWAY_API_KEY");
if (string.IsNullOrWhiteSpace(apiKey))
{
    throw new InvalidOperationException("LOGFIRE_GATEWAY_API_KEY is required");
}

OpenAIClientOptions options = new()
{
    Endpoint = new Uri("https://gateway-us.pydantic.dev/proxy/openai")
};

OpenAIClient client = new(
    new System.ClientModel.ApiKeyCredential(apiKey),
    options
);

var chatClient = client.GetChatClient("gpt-5.4-mini");
AIAgent agent = chatClient.AsAIAgent(
    instructions: "You are a concise weather assistant.",
    name: "WeatherAgent"
);

Console.WriteLine(await agent.RunAsync("What is the weather in London?", cancellationToken: cts.Token));

Verify it worked

Run either example from your terminal. It prints the agent’s response. That confirms the client reached the gateway. Organization admins can also open AI Engineering > Gateway > Spending to see usage for the key. If telemetry is enabled, open the selected project’s Live view to inspect the request trace.

Troubleshooting

• The example reports that LOGFIRE_GATEWAY_API_KEY is missing: set the environment variable in the same terminal where you run the example.
• The request returns an authentication or model error: copy the URL and model name again from the Gateway Connect tab, and confirm that the selected route supports the OpenAI request format.