Config Skills for LlamaFarm

SkillAI & models

Configuration module patterns for LlamaFarm. Covers Pydantic v2 models, JSONSchema generation, YAML processing, and validation.

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What this skill tells your AI

The instructions your AI receives, as published by llama-farm/llamafarm in .claude/skills/config-skills/SKILL.md and read by ahel’s review.

Specialized patterns and best practices for the LlamaFarm configuration module (config/).

Module Overview

The config module provides YAML/TOML/JSON configuration loading with JSONSchema validation:

FilePurpose
datamodel.pyGenerated Pydantic v2 models from JSONSchema
schema.yamlSource JSONSchema with $ref references
compile_schema.pyDereferences $ref to create schema.deref.yaml
generate_types.pyGenerates Python types via datamodel-codegen
validators.pyCustom validators beyond JSONSchema capabilities
helpers/loader.pyConfig loading, saving, and format detection
helpers/generator.pyTemplate-based config generation

Links to Shared Skills

This module follows Python conventions from the shared skills:

TopicLinkKey Relevance
Patternspython-skills/patterns.mdPydantic v2, dataclasses
Typingpython-skills/typing.mdType hints, constrained types
Testingpython-skills/testing.mdPytest fixtures, temp files
Errorspython-skills/error-handling.mdCustom exceptions
Securitypython-skills/security.mdPath traversal prevention

Framework-Specific Checklists

ChecklistDescription
pydantic.mdPydantic v2 configuration patterns, nested models, constraints
jsonschema.mdJSONSchema generation, dereferencing, validation

Tech Stack

  • Python: 3.11+
  • Pydantic: v2 with ConfigDict, Field, constrained types
  • JSONSchema: Draft-07 with $ref dereferencing via jsonref
  • YAML: ruamel.yaml for comment-preserving read/write
  • Code Generation: datamodel-codegen for schema-to-Pydantic

Key Patterns

Generated Pydantic Models

The datamodel.py file is auto-generated from JSONSchema:

# Generated by datamodel-codegen from schema.deref.yaml
from pydantic import BaseModel, ConfigDict, Field, conint, constr

class Database(BaseModel):
    model_config = ConfigDict(extra="forbid")
    name: constr(pattern=r"^[a-z][a-z0-9_]*$", min_length=1, max_length=50)
    type: Type
    config: dict[str, Any] | None = Field(None, description="Database-specific configuration")

Custom Validators for Cross-Field Constraints

JSONSchema draft-07 cannot express all constraints. Custom validators extend validation:

def validate_llamafarm_config(config_dict: dict[str, Any]) -> None:
    """Validate constraints beyond JSONSchema (uniqueness, references)."""
    # Check for duplicate prompt names
    prompt_names = [p.get("name") for p in config_dict.get("prompts", [])]
    duplicates = [name for name in prompt_names if prompt_names.count(name) > 1]
    if duplicates:
        raise ValueError(f"Duplicate prompt set names: {', '.join(set(duplicates))}")

Comment-Preserving YAML with ruamel.yaml

Configuration files preserve user comments when modified:

from ruamel.yaml import YAML
from ruamel.yaml.comments import CommentedMap

def _get_ruamel_yaml() -> YAML:
    yaml_instance = YAML()
    yaml_instance.preserve_quotes = True
    yaml_instance.indent(mapping=2, sequence=4, offset=2)
    return yaml_instance

Directory Structure

config/
├── pyproject.toml       # UV-managed dependencies
├── schema.yaml          # Source JSONSchema with $ref
├── schema.deref.yaml    # Dereferenced schema (generated)
├── datamodel.py         # Pydantic models (generated)
├── compile_schema.py    # Schema compilation script
├── generate_types.py    # Type generation script
├── validators.py        # Custom validation beyond JSONSchema
├── validate_config.py   # CLI validation wrapper
├── __init__.py          # Public API exports
├── helpers/
│   ├── loader.py        # Config loading/saving
│   └── generator.py     # Template-based generation
├── templates/
│   └── default.yaml     # Default config template
└── tests/
    ├── conftest.py      # Shared fixtures
    └── test_*.py        # Test modules

Workflow: Schema Changes

When modifying the configuration schema:

  1. Edit schema.yaml (or referenced schemas like ../rag/schema.yaml)
  2. Run nx run generate-types to compile and generate types
  3. Update validators.py if new cross-field constraints are needed
  4. Test with uv run pytest config/tests/

Common Commands

# Generate types from schema
nx run generate-types

# Validate a config file
uv run python config/validate_config.py path/to/llamafarm.yaml --verbose

# Run tests
uv run pytest config/tests/ -v

# Lint and format
ruff check config/ --fix
ruff format config/

Signals

GitHub stars
838
Forks
56
Last commit
Jun 2026
Advanced
Catalog kind
skill
Gateway key
config-skills
Source
github.com/llama-farm/llamafarm