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359 changes: 359 additions & 0 deletions contributing/samples/human_in_loop_blocking_poll/README.md
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# Human-in-the-Loop: Backend Blocking Poll Pattern

## Overview

This example demonstrates the **backend blocking poll pattern** for human-in-the-loop approval workflows. Unlike the webhook/callback pattern (`LongRunningFunctionTool`), this pattern polls an external approval API internally until a decision is made.

### How It Works

1. Agent calls approval tool **once**
2. Tool creates approval ticket via external API
3. **Tool polls API internally** every N seconds (invisible to agent)
4. Tool returns final decision to agent when ready (or timeout)

### Key Benefits

- ✅ **Simpler integration**: No `FunctionResponse` injection needed
- ✅ **Seamless UX**: Agent waits automatically, no manual "continue" clicks
- ✅ **Fewer LLM API calls**: 1 inference vs. 15+ for agent-level polling
- ✅ **Works with poll-only systems**: Jira, ServiceNow, email approvals, dashboards

---

## When to Use This Pattern vs. LongRunningFunctionTool

| Scenario | Backend Blocking Poll | LongRunningFunctionTool |
|----------|----------------------|-------------------------|
| **Poll-only system** (Jira, ServiceNow, custom dashboards) | ✅ Perfect fit | ❌ Complex application logic |
| **Webhook-capable system** (GitHub, Slack, webhooks) | ❌ Overkill | ✅ Preferred |
| **Email approval workflows** (user clicks link, poll for response) | ✅ Simple | ❌ Complex |
| **User needs real-time updates** (e.g., "Still waiting...") | ❌ Blocks silently | ✅ Can show progress |
| **Single decision** (<10 minutes) | ✅ Ideal | ⚠️ Overkill |
| **Multi-step approval** (chain of approvers) | ⚠️ Works but may timeout | ✅ Can handle state transitions |
| **High concurrency** (many simultaneous approvals) | ✅ Use async version | ✅ Both work well |

### Quick Decision Guide

**Use Backend Blocking Poll when:**
- External system doesn't support webhooks
- Simple approval workflow (single decision)
- Prefer simple application code (no manual `FunctionResponse` management)
- Approval typically completes in <10 minutes

**Use LongRunningFunctionTool when:**
- External system supports webhooks or callbacks
- Need to show progress updates to user during waiting
- Multi-step approval workflows with state transitions
- Very long-duration approvals (>10 minutes)

---

## Files in This Example

### Core Patterns

1. **`blocking_poll_approval_example.py`** - Synchronous version
- Uses `requests` and `time.sleep()`
- Simple, straightforward implementation
- Good for standalone agents or low-concurrency scenarios

2. **`blocking_poll_approval_example_async.py`** - Asynchronous version
- Uses `aiohttp` and `asyncio.sleep()`
- Non-blocking I/O for better concurrency
- **Recommended for production** multi-agent systems

### Testing Infrastructure

3. **`mock_approval_api.py`** - Mock approval API server
- FastAPI-based test server
- HTML dashboard for manual testing
- Simulates external approval system

4. **`test_blocking_poll.py`** - Automated test script
- Tests sync version with simulated approver
- Validates pattern behavior

---

## Setup

### Prerequisites

```bash
# Python 3.11+
python --version

# Install dependencies
pip install google-adk aiohttp fastapi uvicorn requests
```

### Running the Mock Approval API

The mock API simulates an external approval system for testing.

```bash
# Start mock approval API server
python mock_approval_api.py

# Server starts at http://localhost:8003
# Dashboard: http://localhost:8003/
```

The dashboard provides a simple UI to manually approve/reject tickets during testing.

---

## Usage

### Synchronous Version

```python
from blocking_poll_approval_example import approval_agent, request_approval_blocking

# Option 1: Use the tool function directly
result = request_approval_blocking(
proposal="Deploy version 2.0 to production",
context={"priority": "high", "requester": "john.doe"}
)
print(result)
# ✅ APPROVED by jane.smith
# Reason: Tests passing, staging validated
# Next Action: Proceed with deployment

# Option 2: Use via ADK AgentRunner
from google.adk import AgentRunner

agent_runner = AgentRunner(approval_agent)
result = agent_runner.run(
user_id="user123",
new_message="Please get approval for deploying to production"
)
```

### Asynchronous Version (Recommended for Production)

```python
from blocking_poll_approval_example_async import (
approval_agent_async,
request_approval_blocking_async
)
import asyncio

# Option 1: Use the tool function directly
async def main():
result = await request_approval_blocking_async(
proposal="Deploy version 2.0 to production",
context={"priority": "high", "requester": "john.doe"}
)
print(result)

asyncio.run(main())

# Option 2: Use via ADK AgentRunner (async)
from google.adk import AgentRunner

agent_runner = AgentRunner(approval_agent_async)
result = await agent_runner.run_async(
user_id="user123",
new_message="Please get approval for deploying to production"
)
```

---

## Testing

### Automated Test

```bash
# 1. Start mock approval API
python mock_approval_api.py

# 2. In another terminal, run test
python test_blocking_poll.py
```

Expected output:
```
✅ Approval API is running

Testing Backend Blocking Poll Pattern
[Test] Creating approval ticket...
✅ Ticket created: APR-XXXXXXXX
[Test] Starting simulated approver (will approve in 5 seconds)...
[Test] Calling request_approval_blocking (will block until approval)...
[Test] Blocking poll completed in 5.1 seconds

[Result]:
✅ APPROVED by automated_test
Reason: Auto-approved for testing
Next Action: Proceed with test

✅ TEST PASSED: Pattern works correctly!
```

### Manual Test

1. Start mock approval API: `python mock_approval_api.py`
2. Run sync or async example: `python blocking_poll_approval_example.py`
3. Open dashboard: http://localhost:8003/
4. Approve/reject pending ticket in the dashboard
5. Observe tool returns decision when ticket is decided

---

## Configuration

All configuration via environment variables:

```bash
# Approval API settings
export APPROVAL_API_URL="http://localhost:8003" # API endpoint
export APPROVAL_POLL_INTERVAL="30" # Seconds between polls
export APPROVAL_TIMEOUT="600" # Max wait time (10 minutes)

# Optional authentication
export APPROVAL_API_TOKEN="your-api-token-here" # Bearer token for API auth

# Run example
python blocking_poll_approval_example_async.py
```

---

## Production Considerations

### Concurrency

Use the **async version** (`blocking_poll_approval_example_async.py`) for production deployments with multiple concurrent approvals. The sync version is suitable for standalone agents or low-volume scenarios (<10 concurrent approvals).

### Security

**Authentication**: Set `APPROVAL_API_TOKEN` environment variable for Bearer token authentication.

**HTTPS**: Configure `APPROVAL_API_URL` to use HTTPS in production (`https://approvals.yourcompany.com`).

**Input Validation**: Proposals are limited to 10,000 characters and cannot be empty.

### Configuration

**Timeouts**: Adjust `APPROVAL_TIMEOUT` based on your workflow:
- Fast approvals (manager): 300s (5 minutes)
- Standard approvals: 600s (10 minutes) - default
- Complex approvals (committee): 1800s (30 minutes)

**Poll Interval**: Balance responsiveness vs. API load with `APPROVAL_POLL_INTERVAL` (default: 30s).

### Monitoring

Monitor these key metrics:
- Approval creation success rate
- Average approval duration
- Timeout rate
- API error rate

The pattern includes structured logging for all approval lifecycle events.

---

## Performance Metrics (Production Validation)

This pattern has been validated in production multi-agent workflows:

| Metric | Agent-Level Polling (Anti-Pattern) | Backend Blocking Poll |
|--------|-------------------------------------|----------------------|
| **LLM API calls** | 15+ per approval | **1 per approval** |
| **Manual user clicks** | 20+ "continue" clicks | **0 clicks** |
| **Application complexity** | High (manual FunctionResponse injection) | **Low (tool handles everything)** |
| **API call reduction** | Baseline | **93% reduction** |
| **UX friction** | High (manual polling) | **Minimal (seamless)** |

**Production Workflow Example**:
- Multi-agent RFQ approval system
- 10-minute average approval duration
- Handled gracefully with no manual intervention
- 93% reduction in LLM API calls vs. agent-level polling

---

## Comparison with ADK's LongRunningFunctionTool Pattern

### LongRunningFunctionTool Workflow

```python
# 1. Tool returns "pending" immediately
def ask_for_approval(context):
return {"status": "pending", "ticket_id": "xxx"}

# 2. Agent acknowledges pending state
# 3. External system completes task
# 4. Application code MUST manually inject FunctionResponse:
updated_response = types.Part(
function_response=types.FunctionResponse(
id=original_call.id, # Must track original call ID
name=original_call.name,
response={"status": "approved", ...}
)
)
await runner.run_async(new_message=types.Content(parts=[updated_response], role="user"))
```

**Complexity**: Requires manual tracking of `FunctionCall.id` and constructing `FunctionResponse`.

### Backend Blocking Poll Workflow

```python
# 1. Agent calls tool once
result = await request_approval_blocking_async(proposal)

# 2. Tool returns final decision (or timeout)
# That's it! No manual FunctionResponse injection needed.
```

**Simplicity**: Tool handles everything internally.

---

## Troubleshooting

**"Cannot connect to approval API"**
- Ensure mock API is running: `python mock_approval_api.py`
- Verify `APPROVAL_API_URL` is correct
- Check firewall/network connectivity

**"Approval timeout"**
- Check approval dashboard at configured URL
- Increase `APPROVAL_TIMEOUT` if needed
- Verify approver has access to decision interface

**"Configuration error: APPROVAL_TIMEOUT must be greater than APPROVAL_POLL_INTERVAL"**
- Ensure `APPROVAL_TIMEOUT` > `APPROVAL_POLL_INTERVAL` (e.g., 600 > 30)

**High API call volume**
- Increase `APPROVAL_POLL_INTERVAL` to reduce polling frequency (trade-off: slower response time)

---

## Additional Resources

For questions or feedback:
- [ADK Documentation](https://google.adk.dev)
- [ADK GitHub Repository](https://github.com/google/adk-python)
- Open issues on [ADK GitHub Issues](https://github.com/google/adk-python/issues)
- Reference this pattern when discussing issues [#3184](https://github.com/google/adk-python/issues/3184) or [#1797](https://github.com/google/adk-python/issues/1797)
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