Python MOC
This map organizes the Python foundation most relevant to agent systems, tool execution, and schema-driven development.
Fundamentals
- python: Language overview and why Python dominates agent ecosystems.
- python-data-model: Identity, mutability, types, and special method dispatch.
- python-typing: Gradual typing and metadata-bearing annotations.
- python-decorators: Behavioral extension pattern (used in FastMCP).
- python-context-managers: Resource safety pattern (used in MCP Clients).
Concurrency
- python-asyncio: Event loops, coroutines, tasks, and cancellation semantics.
Schema and Validation
- pydantic: Runtime parsing, validation, and JSON Schema emission for tool inputs.
- pattern-schema-driven-tools: The core methodology of using Pydantic as a source of truth for agent capabilities.
- pydantic-fastapi-agents: Wiring Pydantic models into FastAPI routes and MCP tool surfaces — the execution infrastructure side of schema-driven development.
Standard Library Hubs
- python-standard-library-hubs: Why these modules matter together.
- python-pathlib: Filesystem navigation and path-safe code.
- python-json: Deterministic serialization boundaries.
- python-sqlite: Embedded persistence for local memory and caches.
Applied Workflow Notes
- audio-overview-workflow: Python-assisted transcription artifacts in a PowerShell-led pipeline.
- verbalized-sampling-experiment: Practical local workflow debugging on Windows plus transcript-first ingestion.