Python: Add an azure function streaming example

python/samples/getting_started/azure_functions/09_agent_streaming_signalr/README.md

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+# Agent Response Callbacks with Azure SignalR
+
+This sample demonstrates how to use Azure SignalR Service with agent response callbacks to enable real-time streaming for durable agents. The agent streams responses directly to connected web clients as the agent generates them.
+
+## Key Concepts Demonstrated
+
+- Using `AgentResponseCallbackProtocol` to capture streaming agent responses
+- Real-time delivery of streaming chunks via Azure SignalR Service REST API
+- Custom SignalR negotiation endpoint for browser client authentication
+- Automatic reconnection support using SignalR JavaScript client
+- Durable agent execution with streaming callbacks
+- Conversation continuity across multiple messages
+- **User isolation** - Each user only receives messages for their own conversation via SignalR groups
+
+## Prerequisites
+
+1. **Azure SignalR Service** - Create a SignalR Service instance in Azure (Serverless mode)
+2. **Azure Functions Core Tools** - For local development
+3. **Azure OpenAI** - Configured for agent model
+
+Update `local.settings.json` with your configuration:
+
+```json
+{
+  "Values": {
+    "FUNCTIONS_WORKER_RUNTIME": "python",
+    "AzureWebJobsStorage": "UseDevelopmentStorage=true",
+    "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
+    "TASKHUB_NAME": "default",
+    "AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
+    "AZURE_OPENAI_API_KEY": "<AZURE_OPENAI_API_KEY>",
+    "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME":  "<AZURE_OPENAI_CHAT_DEPLOYMENT_NAME>",
+    "AzureSignalRConnectionString": "Endpoint=https://<your-signalr>.service.signalr.net;AccessKey=<your-key>;Version=1.0;ServiceMode=Serverless;",
+    "SIGNALR_HUB_NAME": "travel",
+  }
+}
+```
+
+**Note:** There is no local SignalR emulation. You must use a deployed Azure SignalR Service instance.
+
+## Running the Sample
+
+### 1. Start the Azure Functions host
+
+```bash
+func start
+```
+
+The function app will start on `http://localhost:7071`
+
+### 2. Open the web interface
+
+Navigate to `http://localhost:7071/api/index` in your browser. The page will automatically:
+
+- Connect to Azure SignalR Service via the `/api/agent/negotiate` endpoint
+- Display the connection status (Connected/Disconnected)
+- Enable the chat interface
+
+Screenshot
+
+### 3. Send a message to the agent
+
+Type a travel planning request in the input box, for example:
+
+```text
+Plan a 3-day trip to Singapore
+```
+
+Click "Send" or press Enter. The agent will:
+
+- Execute in the background via durable orchestration
+- Stream responses in real-time as they're generated
+
+### 4. Continue the conversation
+
+The client maintains the `conversationId` (thread_id) across messages, so you can have a multi-turn conversation:
+
+```text
+Include neighbouring countries as well
+```
+
+The agent will have context from previous messages in the same conversation.
+
+## API Endpoints
+
+### POST `/api/agents/TravelPlanner/run`
+
+Start or continue an agent conversation.
+
+**Query Parameters:**
+
+- `thread_id` (required for user isolation) - Conversation ID obtained from `/api/agent/create-thread`
+
+**Headers:**
+
+- `Content-Type: text/plain` - Plain text prompt
+- `X-Wait-For-Response: false` - Return immediately without waiting for agent response
+
+**Request Body:** Plain text prompt
+
+```text
+Plan a 3-day trip to Singapore
+```
+
+**Response (202 Accepted):**
+
+```json
+{
+  "message": "Plan a 3-day trip to Singapore",
+  "thread_id": "a1b2c3d4e5f6789012345678901234ab",
+  "correlation_id": "f8e7d6c5b4a39281...",
+  "status": "accepted"
+}
+```
+
+### GET/POST `/api/agent/negotiate`
+
+SignalR negotiation endpoint for browser clients.
+
+**Response (200 OK):**
+
+```json
+{
+  "url": "https://<your-signalr>.service.signalr.net/client/?hub=travel",
+  "accessToken": "<jwt-token>"
+}
+```
+
+### GET `/api/index`
+
+Serves the web interface (index.html).
+
+### POST `/api/agent/create-thread`
+
+Create a new thread_id before starting a conversation. This is required for user isolation - the client must join a SignalR group before the agent starts streaming.
+
+**Response (200 OK):**
+
+```json
+{
+  "thread_id": "a1b2c3d4e5f6789012345678901234ab"
+}
+```
+
+> **Note:** The agent framework auto-generates thread_ids, but we create one upfront so the client can join the SignalR group before sending messages, avoiding a race condition where messages stream before the client is subscribed.
+
+### POST `/api/agent/join-group`
+
+Add a SignalR connection to a conversation group for user isolation.
+
+**Request Body:**
+
+```json
+{
+  "group": "<thread_id>",
+  "connectionId": "<signalr_connection_id>"
+}
+```
+
+**Response (200 OK):**
+
+```json
+{
+  "status": "joined",
+  "group": "<thread_id>"
+}
+```
+
+## How It Works
+
+### 1. SignalR Service Client
+
+A custom `SignalRServiceClient` class communicates with Azure SignalR Service via REST API:
+
+```python
+class SignalRServiceClient:
+    def __init__(self, connection_string: str, hub_name: str):
+        # Parse connection string for endpoint and access key
+        self._endpoint = ...
+        self._access_key = ...
+        self._hub_name = hub_name
+
+    async def send(self, *, target: str, arguments: list, group: str | None = None):
+        # Generate JWT token for authentication
+        token = self._generate_token(url)
+
+        # POST message to SignalR REST API
+        # Broadcasts to all connected clients
+        async with session.post(url, headers={...}, json={...}):
+            ...
+```
+
+### 2. SignalR Callback
+
+`SignalRCallback` implements `AgentResponseCallbackProtocol` to capture streaming updates:
+
+```python
+class SignalRCallback(AgentResponseCallbackProtocol):
+    async def on_streaming_response_update(self, update, context):
+        # Send each chunk to the specific conversation group
+        await self._client.send(
+            target="agentMessage",
+            arguments=[{
+                "conversationId": context.thread_id,
+                "correlationId": context.correlation_id,
+                "text": update.text
+            }],
+            group=context.thread_id  # User isolation via groups
+        )
+
+    async def on_agent_response(self, response, context):
+        # Notify completion to the specific group
+        await self._client.send(
+            target="agentDone",
+            arguments=[{
+                "conversationId": context.thread_id,
+                "status": "completed"
+            }],
+            group=context.thread_id  # User isolation via groups
+        )
+```
+
+The callback is configured as the default callback in the AgentFunctionApp.
+
+### 3. Negotiate Endpoint
+
+The `/api/agent/negotiate` endpoint provides SignalR connection info for browser clients:
+
+```python
+@app.route(route="agent/negotiate", methods=["POST", "GET"])
+def negotiate(req):
+    # Build client URL for the SignalR hub
+    client_url = f"{base_url}/client/?hub={SIGNALR_HUB_NAME}"
+
+    # Generate JWT token for client authentication
+    access_token = signalr_client._generate_token(client_url)
+
+    return {
+        "url": client_url,
+        "accessToken": access_token
+    }
+```
+
+### 4. Browser Client
+
+The client uses the SignalR JavaScript library with user isolation:
+
+```javascript
+// Get connection info from negotiate endpoint
+const { url, accessToken } = await fetch('/api/agent/negotiate').then(r => r.json());
+
+// Connect to SignalR
+const connection = new signalR.HubConnectionBuilder()
+    .withUrl(url, { accessTokenFactory: () => accessToken })
+    .withAutomaticReconnect()
+    .build();
+
+// Listen for streaming messages
+connection.on('agentMessage', (data) => {
+    // Append text chunk to UI
+    updateAgentMessage(data.text);
+});
+
+// Listen for completion
+connection.on('agentDone', (data) => {
+    // Enable input, clear typing indicator
+    isAgentProcessing = false;
+});
+
+await connection.start();
+
+// Before sending the first message, create thread and join group
+async function sendMessage(message) {
+    if (!conversationId) {
+        // 1. Get thread_id from server
+        const { thread_id } = await fetch('/api/agent/create-thread', { method: 'POST' })
+            .then(r => r.json());
+        conversationId = thread_id;
+
+        // 2. Join the SignalR group for this thread
+        await fetch('/api/agent/join-group', {
+            method: 'POST',
+            headers: { 'Content-Type': 'application/json' },
+            body: JSON.stringify({
+                group: conversationId,
+                connectionId: connection.connectionId
+            })
+        });
+    }
+
+    // 3. Now send message - agent will stream to this group
+    await fetch(`/api/agents/TravelPlanner/run?thread_id=${conversationId}`, {
+        method: 'POST',
+        body: message
+    });
+}
+```
+
+### 5. Thread Management and User Isolation
+
+The sample implements user isolation using SignalR groups:
+
+1. **Thread Creation**: Before the first message, client requests a `thread_id` from `/api/agent/create-thread`
+2. **Group Joining**: Client joins a SignalR group named after the `thread_id` via `/api/agent/join-group`
+3. **Message Sending**: Client sends message with `thread_id` query parameter
+4. **Streaming**: Agent callback sends messages to the `thread_id` group, not broadcast
+
+This ensures:
+
+- Each user only sees their own conversation
+- No race condition between message sending and group subscription
+- Multiple users can use the app simultaneously without interference
+
+```
+┌─────────┐      ┌──────────┐      ┌─────────────┐      ┌─────────┐
+│ Client  │      │ Functions│      │   SignalR   │      │  Agent  │
+└────┬────┘      └────┬─────┘      └──────┬──────┘      └────┬────┘
+     │                │                   │                  │
+     │ create-thread  │                   │                  │
+     │───────────────>│                   │                  │
+     │<─ thread_id ───│                   │                  │
+     │                │                   │                  │
+     │ join-group     │  add to group     │                  │
+     │───────────────>│──────────────────>│                  │
+     │<─ joined ──────│                   │                  │
+     │                │                   │                  │
+     │ run (thread_id)│                   │                  │
+     │───────────────>│────────────────────────────────────>│
+     │<─ 202 accepted │                   │                  │
+     │                │                   │    streaming     │
+     │                │                   │<─────────────────│
+     │   agentMessage │<── to group ──────│                  │
+     │<───────────────│                   │                  │
+     │   agentDone    │<── to group ──────│                  │
+     │<───────────────│                   │                  │
+```
+
+### 6. Agent Execution
+
+The agent is defined with tools and streaming is automatic:
+
+```python
+def create_travel_agent():
+    return AzureOpenAIChatClient(credential=AzureCliCredential()).create_agent(
+        name="TravelPlanner",
+        instructions="...",
+        tools=[get_weather_forecast, get_local_events]
+    )
+
+# Create AgentFunctionApp with SignalR callback
+app = AgentFunctionApp(
+    agents=[create_travel_agent()],
+    default_callback=signalr_callback,  # All agents use this callback
+    enable_health_check=True
+)
+```
+
+The framework automatically:
+
+- Creates durable orchestrations for agent runs
+- Invokes the callback as responses stream
+- Manages conversation state (thread_id)