This guide shows how to use DefaultAzureCredential from the Azure Identity library to authenticate with Azure AI Foundry models through the Copilot SDK.
How it works
Azure AI Foundry's OpenAI-compatible endpoint accepts bearer tokens from Entra ID in place of static API keys. The pattern is:
- Use
DefaultAzureCredentialto obtain a token for thehttps://cognitiveservices.azure.com/.defaultscope - Pass the token as the
bearer_tokenin the BYOK provider config - Refresh the token before it expires (tokens are typically valid for ~1 hour)

Python example
Prerequisites
pip install github-copilot-sdk azure-identity
Basic usage
import asyncio
import os
from azure.identity import DefaultAzureCredential
from copilot import CopilotClient
from copilot.session import PermissionHandler, ProviderConfig
COGNITIVE_SERVICES_SCOPE = "https://cognitiveservices.azure.com/.default"
async def main():
# Get a token using Managed Identity, Azure CLI, or other credential chain
credential = DefaultAzureCredential()
token = credential.get_token(COGNITIVE_SERVICES_SCOPE).token
foundry_url = os.environ["AZURE_AI_FOUNDRY_RESOURCE_URL"]
client = CopilotClient()
await client.start()
session = await client.create_session(
on_permission_request=PermissionHandler.approve_all,
model="gpt-4.1",
provider=ProviderConfig(
type="openai",
base_url=f"{foundry_url.rstrip('/')}/openai/v1/",
bearer_token=token, # Short-lived bearer token
wire_api="responses",
),
)
response = await session.send_and_wait("Hello from Managed Identity!")
print(response.data.content)
await client.stop()
asyncio.run(main())
Token refresh for long-running applications
Bearer tokens expire (typically after ~1 hour). For servers or long-running agents, refresh the token before creating each session:
from azure.identity import DefaultAzureCredential
from copilot import CopilotClient
from copilot.session import PermissionHandler, ProviderConfig
COGNITIVE_SERVICES_SCOPE = "https://cognitiveservices.azure.com/.default"
class ManagedIdentityCopilotAgent:
"""Copilot agent that refreshes Entra ID tokens for Azure AI Foundry."""
def __init__(self, foundry_url: str, model: str = "gpt-4.1"):
self.foundry_url = foundry_url.rstrip("/")
self.model = model
self.credential = DefaultAzureCredential()
self.client = CopilotClient()
def _get_provider_config(self) -> ProviderConfig:
"""Build a ProviderConfig with a fresh bearer token."""
token = self.credential.get_token(COGNITIVE_SERVICES_SCOPE).token
return ProviderConfig(
type="openai",
base_url=f"{self.foundry_url}/openai/v1/",
bearer_token=token,
wire_api="responses",
)
async def chat(self, prompt: str) -> str:
"""Send a prompt and return the response text."""
# Fresh token for each session
session = await self.client.create_session(
on_permission_request=PermissionHandler.approve_all,
model=self.model,
provider=self._get_provider_config(),
)
response = await session.send_and_wait(prompt)
await session.disconnect()
return response.data.content if response else ""
Node.js / TypeScript example
import { DefaultAzureCredential } from "@azure/identity";
import { CopilotClient } from "@github/copilot-sdk";
const credential = new DefaultAzureCredential();
const tokenResponse = await credential.getToken(
"https://cognitiveservices.azure.com/.default"
);
const client = new CopilotClient();
const session = await client.createSession({
model: "gpt-4.1",
provider: {
type: "openai",
baseUrl: `${process.env.AZURE_AI_FOUNDRY_RESOURCE_URL}/openai/v1/`,
bearerToken: tokenResponse.token,
wireApi: "responses",
},
});
const response = await session.sendAndWait({ prompt: "Hello!" });
console.log(response?.data.content);
await client.stop();
.NET example
using Azure.Identity;
using GitHub.Copilot;
var credential = new DefaultAzureCredential();
var token = await credential.GetTokenAsync(
new Azure.Core.TokenRequestContext(
new[] { "https://cognitiveservices.azure.com/.default" }));
await using var client = new CopilotClient();
var foundryUrl = Environment.GetEnvironmentVariable("AZURE_AI_FOUNDRY_RESOURCE_URL");
await using var session = await client.CreateSessionAsync(new SessionConfig
{
Model = "gpt-4.1",
Provider = new ProviderConfig
{
Type = "openai",
BaseUrl = $"{foundryUrl!.TrimEnd('/')}/openai/v1/",
BearerToken = token.Token,
WireApi = "responses",
},
});
var response = await session.SendAndWaitAsync(
new MessageOptions { Prompt = "Hello from Managed Identity!" });
Console.WriteLine(response?.Data.Content);
Environment configuration
| Variable | Description | Example |
|---|---|---|
AZURE_AI_FOUNDRY_RESOURCE_URL | Your Azure AI Foundry resource URL | https://myresource.openai.azure.com |
No API key environment variable is needed—authentication is handled by DefaultAzureCredential, which automatically supports:
- Managed Identity (system-assigned or user-assigned): for Azure-hosted apps
- Azure CLI (
az login): for local development - Environment variables (
AZURE_CLIENT_ID,AZURE_TENANT_ID,AZURE_CLIENT_SECRET): for service principals - Workload Identity: for Kubernetes
See the DefaultAzureCredential documentation for the full credential chain.
When to use this pattern
| Scenario | Recommendation |
|---|---|
| Azure-hosted app with Managed Identity | ✅ Use this pattern |
| App with existing Azure AD service principal | ✅ Use this pattern |
Local development with az login | ✅ Use this pattern |
| Non-Azure environment with static API key | Use BYOK (bring your own key) |
| GitHub Copilot subscription available | Use GitHub OAuth setup |
See also
- BYOK (bring your own key): Static API key configuration
- Backend services setup: Server-side deployment
- Azure Identity documentation