Config reference: graph_indexing

• Enterprise tuning surface

  ---

  Defaults + constraints are rendered directly from Pydantic.

• Env keys when available

  ---

  Many fields have an env-style alias (from TriBridConfig.to_flat_dict()).

• Tooltip-level guidance

  ---

  If a matching glossary entry exists, you’ll see deeper tuning notes.

Config reference Config API & workflow Glossary

Total parameters: 14

Group index

• (root)

(root)

JSON key	Env key(s)	Type	Default	Constraints	Summary
graph_indexing.ast_calls_weight	—	float	1.0	≥ 0.0, ≤ 1.0	Edge weight for AST call relationships (function->callee).
graph_indexing.ast_contains_weight	—	float	1.0	≥ 0.0, ≤ 1.0	Edge weight for AST containment relationships (module->class/function, class->method).
graph_indexing.ast_imports_weight	—	float	1.0	≥ 0.0, ≤ 1.0	Edge weight for AST import relationships (module->imported_module).
graph_indexing.ast_inherits_weight	—	float	1.0	≥ 0.0, ≤ 1.0	Edge weight for AST inheritance relationships (class->base).
graph_indexing.build_code_graph	—	bool	false	—	Build an AST code graph during indexing: module, class and function entities with contains/inherits/imports/calls relationships (tree-sitter; Python, TypeScript, JavaScript), each linked to the chunk that defines it
graph_indexing.build_lexical_graph	—	bool	true	—	Build lexical graph (Document/Chunk nodes + NEXT_CHUNK relationships)
graph_indexing.enabled	—	bool	true	—	Enable graph building during indexing (Neo4j)
graph_indexing.schema_proposal_max_output_tokens	—	int	16384	≥ 256, ≤ 32768	Maximum output tokens for one schema proposal; incomplete responses fail without approval
graph_indexing.schema_proposal_reasoning_effort	—	Literal["minimal", "low", "medium", "high", "xhigh"]	"low"	allowed="minimal", "low", "medium", "high", "xhigh"	Reasoning effort for schema proposals, independent of semantic KG extraction effort
graph_indexing.schema_proposal_timeout_s	—	int	60	≥ 5, ≤ 80	Total seconds allowed for schema proposal sampling and generation, below the public HTTP deadline
graph_indexing.semantic_kg_llm_model	—	str	""	—	Optional LiteLLM alias for GraphRAG semantic extraction; empty uses the gateway default
graph_indexing.semantic_kg_llm_timeout_s	—	int	90	≥ 5, ≤ 600	Timeout (seconds) for semantic KG LLM extraction per chunk
graph_indexing.semantic_kg_max_chunks	—	int	40000	≥ 1, ≤ 100000	Maximum eligible chunks for a semantic GraphRAG run. Runs above this ceiling fail before promotion; the corpus is never sliced into a partial graph.
graph_indexing.semantic_kg_reasoning_effort	—	Literal["minimal", "low", "medium", "high", "xhigh"]	"medium"	allowed="minimal", "low", "medium", "high", "xhigh"	Reasoning effort for semantic KG extraction when using OpenAI Responses-compatible models.