LlamaFarm Config Validation Skill

Schema-aware guidance for validating LlamaFarm configurations.

When to Load

Activate this skill when:

• Validating llamafarm.yaml files
• User encounters config errors
• Editing LlamaFarm configuration
• Running /validate command

Core Schema Reference

Required Top-Level Fields

version: v1              # Required, must be "v1"
name: my-project         # Required, project identifier
namespace: default       # Required, organization/team grouping
runtime:                 # Required, model configuration
  models: []

Provider Enum

Valid values for runtime.models[].provider:

• openai - OpenAI API or compatible endpoints
• ollama - Ollama local models
• lemonade - Lemonade runtime with NPU/GPU acceleration
• universal - LlamaFarm Universal Runtime

Core Naming Patterns

Field	Pattern	Example
Prompt names	^[a-z][a-z0-9_]*$	default, system_prompt
Database names	^[a-z][a-z0-9_]*$	main_db, vectors
Dataset names	^[a-zA-Z0-9_-]+$	research, fda-letters

Validation Commands

# Using LlamaFarm CLI
lf projects validate --config llamafarm.yaml

# Using Python validator
cd /path/to/llamafarm/config
uv run python validate_config.py llamafarm.yaml --verbose

Exit codes: 0 = valid, 1 = invalid, 2 = error

Progressive Disclosure

For detailed references, load these files as needed:

• parsers.md - Parser types, patterns, and configurations
• extractors.md - Extractor types and configurations
• strategies.md - Retrieval and embedding strategies
• cross-references.md - Dataset→strategy→database validation