Building an LLM-Driven Ansible Playbook Generator
TL;DR This guide demonstrates building a production-ready system that uses LLMs (Claude 3.5 Sonnet or GPT-4) to generate Ansible playbooks from natural language descriptions. You’ll create a Python-based generator that takes infrastructure requirements as input and outputs syntactically correct, idiomatic Ansible YAML with proper role structure, variables, and handlers. The core workflow: parse user intent, construct structured prompts with Ansible best practices, call the LLM API, validate generated YAML, run ansible-lint, and present for human review. We’ll use the Anthropic API with prompt caching to reduce costs on repeated generation tasks, implement JSON schema validation for playbook structure, and integrate ansible-playbook –syntax-check as a safety gate. ...
