# FastADK Example Recommendations

This document outlines the recommended examples for FastADK to comprehensively demonstrate its capabilities and usage patterns.

## Existing Examples

### Basic Examples

| Example | Status | Purpose |
|---------|--------|---------|
| `weather_agent.py` | ✅ Existing | Demonstrates core agent functionality with real API integration (wttr.in) |
| `exception_demo.py` | ✅ Existing | Shows comprehensive exception handling and error management |
| `token_tracking_demo.py` | ✅ Existing | Illustrates token usage tracking and cost estimation |
| `litellm_demo.py` | ✅ Existing | Shows integration with LiteLLM for provider flexibility |
| `reasoning_demo.py` | ✅ Enhanced | Demonstrates chain-of-thought reasoning with visible tool selection |

### Advanced Examples

| Example | Status | Purpose |
|---------|--------|---------|
| `travel_assistant.py` | ✅ Existing | Comprehensive example showing memory, tools, API integration, lifecycle hooks |
| `workflow_demo.py` | ✅ Existing | Demonstrates workflow orchestration with sequential/parallel flows |
| `batch_processing_demo.py` | ✅ Implemented | Shows efficient batch processing of multiple inputs |
| `multi_provider_reasoning.py` | ✅ Enhanced | Demonstrates using multiple providers based on available API keys |

### API Examples

| Example | Status | Purpose |
|---------|--------|---------|
| `http_agent.py` | ✅ Existing | Shows how to serve agents via HTTP API with FastAPI |

### Training Examples

| Example | Status | Purpose |
|---------|--------|---------|
| `fine_tuning_example.py` | ✅ Existing | Demonstrates data format conversion and fine-tuning jobs |

## Recommended Additional Examples

### Additional Advanced Examples

| Example | Status | Purpose |
|---------|--------|---------|
| `memory_backends_demo.py` | 🔄 Planned | Demonstrate different memory backends (in-memory, Redis, vector) |
| `observability_demo.py` | 🔄 Planned | Show logging, metrics, and tracing capabilities |
| `plugin_system_demo.py` | 🔄 Planned | Demonstrate the plugin architecture |
| `context_policies_demo.py` | 🔄 Planned | Show context window management techniques |

### Pattern Examples

| Example | Status | Purpose |
|---------|--------|---------|
| `tool_patterns.py` | 🔄 Planned | Showcase different tool development patterns (async/sync, validation) |
| `configuration_patterns.py` | 🔄 Planned | Demonstrate configuration loading from YAML, environment, etc. |

## Implementation Details

### Batch Processing Demo (`batch_processing_demo.py`)

This example demonstrates FastADK's batch processing capabilities:

- Process multiple inputs efficiently with the BatchProcessor
- Configure parallelism with adjustable batch sizes
- Monitor and report progress during batch operations
- Apply post-processing to aggregate results
- Handle errors gracefully in batch contexts

The example uses a sentiment analysis agent to process multiple text inputs, showing both sequential and parallel approaches with performance comparisons.

### Memory Backends Demo (`memory_backends_demo.py`) - Planned

This example will demonstrate:

- Using different memory backends (InMemory, Redis, Vector)
- Storing and retrieving different data types
- Memory persistence across sessions
- TTL and expiration management
- Search capabilities in vector memory

### Observability Demo (`observability_demo.py`) - Planned

This example will demonstrate:

- Configuring detailed logging
- Setting up metrics collection
- Implementing distributed tracing
- Visualizing agent performance
- Redacting sensitive information

### Plugin System Demo (`plugin_system_demo.py`) - Planned

This example will demonstrate:

- Creating custom plugins
- Registering plugins with the framework
- Plugin lifecycle management
- Event-driven architecture
- Extending core functionality

### Context Policies Demo (`context_policies_demo.py`) - Planned

This example will demonstrate:

- Managing context window size
- Implementing different summarization strategies
- Using token budget constraints
- Dynamic context pruning
- Context prioritization

## Implementation Plan

1. **Phase 1 (Completed)**:
   - Enhance existing examples for better demonstration
   - Implement `batch_processing_demo.py`
   - Fix environment loading in examples

2. **Phase 2 (Next Steps)**:
   - Implement `memory_backends_demo.py`
   - Implement `observability_demo.py`
   - Create README files explaining the examples

3. **Phase 3 (Future)**:
   - Implement `plugin_system_demo.py`
   - Implement `context_policies_demo.py`
   - Implement pattern examples

4. **Final Phase**:
   - Comprehensive testing of all examples
   - Documentation updates
   - Integration testing across examples

## Testing Recommendations

For proper verification:

1. Test all examples with appropriate API keys
2. Run examples with simulated providers as fallback
3. Verify all documented functionality works as described
4. Ensure READMEs match actual example behavior
5. Check for consistent coding style and practices across examples
