# Column Strict Aggregate - Three-Artifact Version

This is a three-artifact implementation of the column_strict_aggregate agent, demonstrating the new architecture's benefits.

## Architecture

This package contains three artifacts:

### 1. eval_instructions.md
- **Purpose**: Direct SQL generation instructions
- **Content**: The Five Pillars of SQL Generation, column selection rules, aggregation patterns
- **Passed**: Directly to the SQL generation model without modification

### 2. agent.md  
- **Purpose**: Database-specific analysis
- **Content**: Schema extraction, table attribution mapping, relationship discovery
- **Output**: Saves analysis to `./output/agent_output.txt`

### 3. tools/ (not included)
- This version doesn't use tools, demonstrating that tools are optional
- The agent performs all analysis directly

## Key Benefits

### Separation of Concerns
- **Static Rules**: SQL generation principles in eval_instructions.md
- **Dynamic Analysis**: Database-specific findings in agent output
- **No Information Loss**: Instructions pass through unchanged

### The Five Pillars

1. **Ultra-Strict Column Selection** (40% of accuracy)
   - Return ONLY requested columns
   - Single answer = single column

2. **Table Attribution Clarity** (25% of accuracy)
   - Clear ownership of attributes
   - Correct table selection

3. **Simplified Aggregation** (20% of accuracy)
   - Simple patterns first
   - Avoid over-engineering

4. **Evidence Compliance** (15% of accuracy)
   - Follow evidence literally
   - Evidence overrides optimization

5. **Clean SQL Output** (Non-negotiable)
   - No markdown, no comments
   - Only executable SQL

## Usage

When this package is used:

1. The orchestrator copies all artifacts to the workspace
2. The agent analyzes the database and outputs to `agent_output.txt`
3. The system combines: `agent_output.txt` + `eval_instructions.md`
4. The SQL generation model receives the complete context

## Evolution Potential

Future evolutions could:
- Add tools for automated schema analysis
- Enhance table attribution detection
- Improve pattern recognition
- Refine column selection rules

## Performance

Based on the original column_strict_aggregate:
- ELO: 1621
- Mean Accuracy: 58.3%
- Mean Rank: 1.29

This three-artifact version maintains the same logic while providing cleaner separation of concerns.