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# A2A Human-in-the-Loop Sample Agent
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This sample demonstrates the **Agent-to-Agent (A2A)** architecture with **Human-in-the-Loop** workflows in the Agent Development Kit (ADK). The sample implements a reimbursement processing agent that automatically handles small expenses while requiring remote agent to process for larger amounts. The remote agent will require a human approval for large amounts, thus surface this request to local agent and human interacting with local agent can approve the request.
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## Overview
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The A2A Human-in-the-Loop sample consists of:
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- **Root Agent** (`root_agent`): The main reimbursement agent that handles expense requests and delegates approval to remote Approval Agent for large amounts
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- **Approval Agent** (`approval_agent`): A remote A2A agent that handles the human approval process via long-running tools (which implements asynchronous approval workflows that can pause execution and wait for human input), this agent is running on a separate A2A server
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## Architecture
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```
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┌─────────────────┐ ┌────────────────────┐ ┌──────────────────┐
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│ Human Manager │───▶│ Root Agent │───▶│ Approval Agent │
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│ (External) │ │ (Local) │ │ (Remote A2A) │
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│ │ │ │ │ (localhost:8001) │
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│ Approval UI │◀───│ │◀───│ │
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└─────────────────┘ └────────────────────┘ └──────────────────┘
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```
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## Key Features
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### 1. **Automated Decision Making**
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- Automatically approves reimbursements under $100
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- Uses business logic to determine when human intervention is required
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- Provides immediate responses for simple cases
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### 2. **Human-in-the-Loop Workflow**
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- Seamlessly escalates high-value requests (>$100) to remote approval agent
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- Remote approval agent uses long-running tools to surface approval requests back to the root agent
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- Human managers interact directly with the root agent to approve/reject requests
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### 3. **Long-Running Tool Integration**
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- Demonstrates `LongRunningFunctionTool` for asynchronous operations
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- Shows how to handle pending states and external updates
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- Implements proper tool response handling for delayed approvals
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### 4. **Remote A2A Agent Communication**
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- The approval agent runs as a separate service that processes approval workflows
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- Communicates via HTTP at `http://localhost:8001/a2a/human_in_loop`
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- Surfaces approval requests back to the root agent for human interaction
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## Setup and Usage
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### Prerequisites
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1. **Start the Remote Approval Agent server**:
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```bash
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# Start the remote a2a server that serves the human-in-the-loop approval agent on port 8001
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adk api_server --a2a --port 8001 contributing/samples/a2a/a2a_human_in_loop/remote_a2a
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```
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1. **Run the Main Agent**:
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```bash
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# In a separate terminal, run the adk web server
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adk web contributing/samples/a2a
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```
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### Example Interactions
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Once both services are running, you can interact with the root agent through the approval workflow:
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**Automatic Approval (Under $100):**
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```
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User: Please reimburse $50 for meals
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Agent: I'll process your reimbursement request for $50 for meals. Since this amount is under $100, I can approve it automatically.
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Agent: ✅ Reimbursement approved and processed: $50 for meals
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```
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**Human Approval Required (Over $100):**
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```
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User: Please reimburse $200 for conference travel
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Agent: I'll process your reimbursement request for $200 for conference travel. Since this amount exceeds $100, I need to get manager approval.
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Agent: 🔄 Request submitted for approval (Ticket: reimbursement-ticket-001). Please wait for manager review.
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[Human manager approves the pending request from the ADK Web UI]
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Agent: ✅ Great news! Your reimbursement has been approved by the manager. Processing $200 for conference travel.
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```
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> **Approving from the ADK Web UI:** The approval is a *long-running tool* call
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> that runs on the remote approval agent. The pending call is surfaced in the
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> Web UI as a function call awaiting a response. To approve (or reject), hover
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> over the pending `ask_for_approval` function response in the UI and use
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> **"Send another response"** to send back an updated response such as
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> `{"status": "approved", "ticketId": "reimbursement-ticket-001"}`. Simply
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> typing "I approve" as a chat message will **not** resume the pending request,
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> because the framework needs a `FunctionResponse` that carries the same call
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> `id` to resume the long-running tool.
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>
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> For this resume to be routed back to the remote approval agent (rather than
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> restarting at the root agent), the sample is exposed as an `App` with
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> `ResumabilityConfig(is_resumable=True)` in `agent.py`.
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## Code Structure
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### Main Agent (`agent.py`)
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- **`reimburse(purpose: str, amount: float)`**: Function tool for processing reimbursements
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- **`approval_agent`**: Remote A2A agent configuration for human approval workflows
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- **`root_agent`**: Main reimbursement agent with automatic/manual approval logic
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### Remote Approval Agent (`remote_a2a/human_in_loop/`)
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- **`agent.py`**: Implementation of the approval agent with long-running tools
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- **`agent.json`**: Agent card of the A2A agent
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- **`ask_for_approval()`**: Long-running tool that handles approval requests
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## Long-Running Tool Workflow
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The human-in-the-loop process follows this pattern:
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1. **Initial Call**: Root agent delegates approval request to remote approval agent for amounts >$100
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1. **Pending Response**: Remote approval agent returns immediate response with `status: "pending"` and ticket ID and surface the approval request to root agent
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1. **Agent Acknowledgment**: Root agent informs user about pending approval status
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1. **Human Interaction**: Human manager interacts with root agent to review and approve/reject the request
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1. **Updated Response**: Root agent receives updated tool response with approval decision and send it to remote agent
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1. **Final Action**: Remote agent processes the approval and completes the reimbursement and send the result to root_agent
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## Extending the Sample
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You can extend this sample by:
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- Adding more complex approval hierarchies (multiple approval levels)
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- Implementing different approval rules based on expense categories
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- Creating additional remote agent for budget checking or policy validation
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- Adding notification systems for approval status updates
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- Integrating with external approval systems or databases
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- Implementing approval timeouts and escalation procedures
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## Deployment to Other Environments
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When deploying the remote approval A2A agent to different environments (e.g., Cloud Run, different hosts/ports), you **must** update the `url` field in the agent card JSON file:
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### Local Development
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```json
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{
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"url": "http://localhost:8001/a2a/human_in_loop",
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...
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}
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```
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### Cloud Run Example
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```json
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{
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"url": "https://your-approval-service-abc123-uc.a.run.app/a2a/human_in_loop",
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...
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}
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```
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### Custom Host/Port Example
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```json
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{
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"url": "https://your-domain.com:9000/a2a/human_in_loop",
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...
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}
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```
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**Important:** The `url` field in `remote_a2a/human_in_loop/agent.json` must point to the actual RPC endpoint where your remote approval A2A agent is deployed and accessible.
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## Troubleshooting
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**Connection Issues:**
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- Ensure the local ADK web server is running on port 8000
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- Ensure the remote A2A server is running on port 8001
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- Check that no firewall is blocking localhost connections
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- **Verify the `url` field in `remote_a2a/human_in_loop/agent.json` matches the actual deployed location of your remote A2A server**
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- Verify the agent card URL passed to RemoteA2AAgent constructor matches the running A2A server
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**Agent Not Responding:**
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- Check the logs for both the local ADK web server on port 8000 and remote A2A server on port 8001
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- Verify the agent instructions are clear and unambiguous
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- Ensure long-running tool responses are properly formatted with matching IDs
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- **Double-check that the RPC URL in the agent.json file is correct and accessible**
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**Approval Workflow Issues:**
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- Verify that updated tool responses use the same `id` and `name` as the original function call
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- Check that the approval status is correctly updated in the tool response
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- Ensure the human approval process is properly simulated or integrated
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