# Metrics Examples Created ✅

## Summary

Created comprehensive Python examples demonstrating the metrics collection feature in Ceylon AI.

## Files Created

### 1. **metrics_quickstart.py** (Simple Example)

- Quick 50-line example showing basic metrics usage
- Demonstrates creating agents, sending messages, and retrieving metrics
- Perfect for getting started

### 2. **metrics_demo.py** (Comprehensive Demo)

- Full-featured demo with 4 separate demonstrations:
  - **Demo 1**: Message & Agent Execution Metrics
  - **Demo 2**: Memory Backend Metrics
  - **Demo 3**: Continuous Monitoring
  - **Demo 4**: Error Tracking
- Pretty-printed output with emojis and formatting
- Shows real-world usage patterns

### 3. **README_METRICS.md** (Documentation)

- Complete API reference for metrics
- Installation instructions
- Usage examples for common scenarios
- Comprehensive metric descriptions

## How to Use

1. **Install Ceylon AI**:

   ```bash
   cd bindings/python
   maturin develop --release
   ```

2. **Run Quick Start**:

   ```bash
   python examples/metrics_quickstart.py
   ```

3. **Run Full Demo**:
   ```bash
   python examples/metrics_demo.py
   ```

## Metrics Available

All examples demonstrate these metrics:

- **message_throughput**: Total messages processed
- **avg_message_latency_us**: Average message latency (μs)
- **avg_agent_execution_time_us**: Average execution time (μs)
- **memory_hits**: Cache hits
- **memory_misses**: Cache misses
- **memory_writes**: Write operations
- **total_llm_tokens**: LLM tokens used
- **avg_llm_latency_us**: LLM API latency
- **total_llm_cost_us**: Total cost (micro-dollars)
- **errors**: Error counts by type

## Example Output

The demo produces formatted output like:

```
============================================================
  After Processing 10 Messages
============================================================

📨 Message Metrics:
  Total messages:        10
  Avg latency:          1234.56 μs
  Avg execution time:   5678.90 μs

💾 Memory Metrics:
  Memory hits:          5
  Memory misses:        3
  Memory writes:        10
  Hit rate:             62.5%

🤖 LLM Metrics:
  Total tokens:         0
  Avg LLM latency:      0.00 μs
  Total LLM cost:       0 μ$

✅ No errors recorded
============================================================
```

## Use Cases Demonstrated

1. **Performance Monitoring**: Track throughput and latency
2. **Memory Optimization**: Calculate hit rates
3. **Cost Tracking**: Monitor LLM usage and costs
4. **Error Monitoring**: Track error rates by type
5. **Real-time Monitoring**: Continuous metrics collection

## Integration

These examples can be integrated into:

- Production monitoring dashboards
- Performance testing frameworks
- Cost tracking systems
- Quality assurance workflows
- Development debugging tools
