# config/llm - Functional Specification

**Version**: v1.1.9 | **Status**: Active | **Last Updated**: February 2026

## Purpose

LLM and AI model configuration directory providing templates and examples for model definitions, provider configurations, and inference parameters. Ensures consistent LLM configuration across all modules and environments.

## Design Principles

### Modularity
- LLM configurations organized by purpose
- Self-contained configuration files
- Composable model patterns
- Clear provider boundaries

### Internal Coherence
- Consistent model structure
- Unified parameter schemas
- Standardized naming conventions
- Logical organization

### Parsimony
- Essential LLM configuration only
- Minimal required fields
- Clear defaults
- Direct model patterns

### Functionality
- Working LLM configurations
- Validated schemas
- Practical examples
- Current best practices

### Testing
- Configuration validation tests
- Schema verification
- Example validation
- Integration testing

### Documentation
- Clear LLM documentation
- Usage examples
- Schema specifications
- Validation rules

## Architecture

```mermaid
graph TD
    subgraph "LLM Configuration Sources"
        Models[models.yaml]
        Providers[providers.yaml]
        Inference[inference.yaml]
    end

    subgraph "Configuration Types"
        ModelConfig[Model Config]
        ProviderConfig[Provider Config]
        InferenceConfig[Inference Config]
    end

    subgraph "Validation"
        Schema[Schema Validation]
        Provider[Provider Validation]
        Parameter[Parameter Validation]
    end

    Models --> ModelConfig
    Providers --> ProviderConfig
    Inference --> InferenceConfig

    ModelConfig --> Schema
    ProviderConfig --> Provider
    InferenceConfig --> Parameter
```

## Functional Requirements

### Configuration Types
1. **Models**: Model definitions, capabilities, context windows, default parameters
2. **Providers**: Provider configurations, API endpoints, authentication, rate limits
3. **Inference**: Inference parameters, temperature, top-p, top-k, max tokens

### Configuration Standards
- YAML format for readability
- Environment variable references for API keys
- JSON Schema validation
- Provider validation
- Clear documentation

## Quality Standards

### Configuration Quality
- Valid schema compliance
- LLM best practices
- Clear documentation
- Working examples

### Validation Standards
- Schema validation
- Provider validation
- Parameter validation
- Error reporting

## Interface Contracts

### Configuration Interface
- Standardized YAML format
- Consistent structure
- Clear schema definitions
- Validation rules

### Template Interface
- Reusable templates
- Parameterization support
- Clear documentation
- Example usage

## Implementation Guidelines

### Configuration Creation
1. Define LLM configuration purpose
2. Create schema definition
3. Provide examples
4. Document usage
5. Validate configuration

### Template Development
- Create reusable templates
- Document parameters
- Provide examples
- Validate templates

## Navigation

- **Human Documentation**: [README.md](README.md)
- **Technical Documentation**: [AGENTS.md](AGENTS.md)
- **Repository Root**: [../../README.md](../../README.md)
- **Repository SPEC**: [../../SPEC.md](../../SPEC.md)



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