feat(graphiti): Integrate Langfuse Tracer for enhanced monitoring and tracing of Graphiti operations

feat(graphiti): Define entity and edge types in new graphiti_schema for structured data extraction
feat(graphiti): Enhance ingest_episode_event_step with schema integration for improved episode processing

src/steps/graphiti/ingest_episode_event_step.py

@@ -10,6 +10,7 @@ from typing import Any
 from motia import FlowContext, queue
 
 from services.graphiti_client import get_graphiti, GraphitiError
+from services.graphiti_schema import ENTITY_TYPES, EDGE_TYPES, EDGE_TYPE_MAP, EXTRACTION_INSTRUCTIONS
 from graphiti_core.nodes import EpisodeType
 
 
@@ -81,6 +82,10 @@ async def handler(event_data: dict[str, Any], ctx: FlowContext[Any]) -> None:
             reference_time=reference_time,
             source=EpisodeType.text,
             group_id=rag_akten_id,
+            entity_types=ENTITY_TYPES,
+            edge_types=EDGE_TYPES,
+            edge_type_map=EDGE_TYPE_MAP,
+            custom_extraction_instructions=EXTRACTION_INSTRUCTIONS,
         )
 
         episode_id = result.episode.uuid