Praveengovianalytics/SparkGen-AWS

sparkgen-generate

Generate a new SparkGen-AWS project from the cookiecutter template

sparkgen-template-dev

Develop and modify the SparkGen-AWS cookiecutter template — variables, hooks, files

sparkgen-template-test

Run cookiecutter matrix tests to verify template generates correctly across all variable combinations

sparkgen-agent

Add, modify, remove, list, or show agents in the workflow

sparkgen-chat

Send a chat message to the running agent server and display the response

sparkgen-config

Switch LLM providers, deployment modes, and manage environment configuration

sparkgen-debug

Diagnose issues with Ollama, Docker, AWS, endpoints, guardrails, RAG, or general health

sparkgen-deploy

Deploy SparkGen agent to local, docker, or aws mode

sparkgen-guardrail

Add rules/sets, test guardrails, validate, and manage per-agent overrides

sparkgen-prompt

Validate, render, preview, and manage the 6-layer prompt system

sparkgen-rag

Ingest documents, query knowledge bases, evaluate RAG quality, and manage KBs

sparkgen-test

Run tests — unit, docker, guardrails, prompts, rag-eval, smoke, validate, or all

sparkgen-tool

Add, list, test, or remove MCP tools

sparkgen-workflow

View, validate, and edit the ai_workflow.yaml configuration