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Spark Forge Azure

Instalação: pip install sparkforge-azure (PyPI, Python >= 3.10). Instalação portátil/agentic: docs/installation/quickstart.md — clone → setup → install. Delegação agêntica: forge.agentic.json (SpecialistAgenticManifest/v1). Docs: commands · skills · agents · tutorial · economy · troubleshooting

Logo do SparkForge

Plataforma de engenharia agentica para Data Engineering em Azure — sibling de spark-forge-aws. Inteligencia probabilistica opera dentro de limites deterministicos, com evidencia e custo explicitos: Facts → Rules → Findings, grafo federado de workspace, recusas nomeadas e um journal de decisoes append-only (local, em .sparkforge-azure/journal.jsonl, fora do git).

  • CLI: sparkforge-azure — uma saida JSON por comando, 0 ok, 1 findings, 2 recusa
  • MCP: prefixo sfa_, allowlist, sem execute/write por padrao
  • Portabilidade: sparkforge-azure distribution init integra um repo qualquer (instalado via wheel, sem checkout); workspace declara monorepo/multi-repo com arestas explicitas; context resolve devolve contexto bounded por scope (target|direct|transitive|all); distribution detach desfaz a integracao preservando estado e conteudo do usuario. Quickstart: docs/guides/SPARKFORGE_AZURE_PORTABLE.md
  • Especificacao: SDD em docs/sdd/ — sdd-define abre a feature e sparkforge-azure sdd check e o gate (no sibling AWS e sparkforge sdd check)

Documentacao completa: docs/README.md — CLI (docs/reference/cli.md), tools MCP (docs/reference/mcp-tools.md), mapa de modulos (docs/architecture/MODULE-MAP.md) e runbook (docs/operations/runbook.md).

Work in progress (v0.1.0 foundation). See docs/ROADMAP.md.

Graph Studio

sparkforge-azure graph view|ui projects graph.json through forge/ForgeGraphView/v1 and serves the embedded local explorer (declinable at install via --components). Full docs: the-forge/docs/graph-studio/.

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