chore: import upstream snapshot with attribution
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This commit is contained in:
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# ADK Workflow Auth Config Sample
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## Overview
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This sample demonstrates how to use `auth_config` on a `FunctionNode` to require user authentication before the node runs.
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When a node has `auth_config`, the workflow automatically:
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1. Pauses the node and emits an `adk_request_credential` FunctionCall event
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1. The invocation ends — the node is marked as waiting
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1. The client sends a new request with the credential as a FunctionResponse
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1. The workflow stores the credential in session state and re-runs the node
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The **ADK web UI** (`adk web`) handles step 3 automatically — it recognizes auth
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requests and presents an auth dialog. If you use a custom client, you need to
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handle the `adk_request_credential` FunctionCall and respond with the credential
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yourself.
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This sample uses **API key** authentication (the simplest credential type).
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## No External Setup Required
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This sample uses a mock weather lookup. No external API key or server is needed. When the auth UI prompts for a key, you can enter any value (e.g., `my-test-key-123`).
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## Sample Inputs
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Send any message (e.g., `go`) to start the workflow.
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## Graph
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```mermaid
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graph TD
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START --> fetch_weather[fetch_weather <br/>pauses for auth on first run]
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fetch_weather --> summarize
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```
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## How To
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1. Define an `AuthConfig` with the auth scheme and credential type:
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```python
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from google.adk.auth.auth_tool import AuthConfig
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from google.adk.auth.auth_credential import AuthCredential, AuthCredentialTypes
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auth_config = AuthConfig(
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auth_scheme=APIKey(**{'in': APIKeyIn.header, 'name': 'X-Api-Key'}),
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raw_auth_credential=AuthCredential(
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auth_type=AuthCredentialTypes.API_KEY,
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api_key='placeholder',
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),
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credential_key='weather_api_key',
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)
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```
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1. Use the `@node` decorator with `auth_config` and `rerun_on_resume=True`:
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```python
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@node(auth_config=auth_config, rerun_on_resume=True)
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def fetch_weather(ctx: Context):
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...
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```
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1. Inside the function, retrieve the credential from `ctx`:
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```python
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def fetch_weather(ctx: Context):
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cred = ctx.get_auth_response(auth_config)
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api_key = cred.api_key
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# Use api_key to call your API...
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```
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## OAuth2
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The same `auth_config` pattern works with OAuth2 and OpenID Connect. The key
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differences:
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- **Auth scheme**: Use `OAuth2` (from `fastapi.openapi.models`) instead of
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`APIKey`. Configure the authorization and token URLs in the OAuth2 flows.
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- **Raw credential**: Set `auth_type=AuthCredentialTypes.OAUTH2` and provide
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`client_id`, `client_secret`, and `redirect_uri` in the `oauth2` field.
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- **Web UI flow**: The ADK web UI recognizes OAuth2 auth requests and opens
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an authorization popup automatically. The user authenticates with the
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provider, and the UI sends the full `AuthConfig` response back. No special
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handling is needed in the node.
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- **Token exchange**: The framework automatically exchanges the authorization
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code for an access token via `AuthHandler.exchange_auth_token()`.
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```python
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from fastapi.openapi.models import OAuth2, OAuthFlowAuthorizationCode, OAuthFlows
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auth_config = AuthConfig(
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auth_scheme=OAuth2(
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flows=OAuthFlows(
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authorizationCode=OAuthFlowAuthorizationCode(
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authorizationUrl='https://provider.com/authorize',
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tokenUrl='https://provider.com/token',
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scopes={'read': 'Read access'},
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)
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)
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),
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raw_auth_credential=AuthCredential(
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auth_type=AuthCredentialTypes.OAUTH2,
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oauth2=OAuth2Auth(
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client_id='YOUR_CLIENT_ID',
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client_secret='YOUR_CLIENT_SECRET',
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redirect_uri='http://localhost:8000/callback',
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),
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),
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credential_key='my_oauth_credential',
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)
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```
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