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LangGraph multi-agent orchestration for SentinelAI.
Compiles a small state machine that mirrors enrich → detect → correlate stages.
"""
from __future__ import annotations
from typing import Any
try:
from langgraph.graph import END, StateGraph
except ImportError: # pragma: no cover
StateGraph = None # type: ignore[misc, assignment]
END = None # type: ignore[misc, assignment]
def build_soc_graph(handlers: dict[str, Any]):
"""handlers: optional async callables enrich/detect/correlate receiving mutable state dict."""
if StateGraph is None or END is None:
return None
graph = StateGraph(dict)
async def enrich_node(state: dict[str, Any]) -> dict[str, Any]:
fn = handlers.get("enrich")
if fn:
await fn(state)
notes = list(state.get("notes", []))
notes.append("enrich_complete")
return {**state, "notes": notes}
async def detect_node(state: dict[str, Any]) -> dict[str, Any]:
fn = handlers.get("detect")
if fn:
await fn(state)
notes = list(state.get("notes", []))
notes.append("detect_complete")
return {**state, "notes": notes}
async def correlate_node(state: dict[str, Any]) -> dict[str, Any]:
fn = handlers.get("correlate")
if fn:
await fn(state)
notes = list(state.get("notes", []))
notes.append("correlate_complete")
return {**state, "notes": notes}
graph.add_node("enrich", enrich_node)
graph.add_node("detect", detect_node)
graph.add_node("correlate", correlate_node)
graph.set_entry_point("enrich")
graph.add_edge("enrich", "detect")
graph.add_edge("detect", "correlate")
graph.add_edge("correlate", END)
return graph.compile()
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