The catalog package

Summary

Submodules

help	Docstring extractor for PyFluent’s generated settings_.py.
index	Lexical fallback over the PyFluent API catalog (the default in practice).
retriever	API retrieval (RAG over the Fluent API catalog).
schema	Static index over PyFluent’s canonical settings.json schema.

Description

Solve settings catalog (discovery, indexing, retrieval).

• ansys.fluent.mcp.solve.catalog.schema: Offline-cached PyFluent settings tree (~62k paths) used by the plan validator and the indexer.

• ansys.fluent.mcp.solve.catalog.index: Keyword inverted index built on top of the schema. Drives find_setting_path.

• ansys.fluent.mcp.solve.catalog.help: Help/description dataclasses attached to catalog entries.

• ansys.fluent.mcp.solve.catalog.retriever: Semantic plus lexical retriever that returns ranked candidates for find_api/RAG flows.

The catalog is consumed by BOTH backends (path validation, find_setting_path) and the agent intelligence layer (RAG grounding). Keeping it separate makes that dual ownership explicit.