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How To Command Routing
Devrajsinh Gohil edited this page Aug 30, 2026
·
1 revision
Command provides an atomic primitive to update state and redirect control-flow within a single return object.
from typing import TypedDict
from langgraph.types import Command
from langgraph.graph import StateGraph
import agentmesh_adapter
class AgentState(TypedDict):
score: int
feedback: str
status: str
def reviewer(state: AgentState):
if state["score"] >= 80:
return Command(
goto="approver",
update={"status": "PASSED", "feedback": "Quality check passed."}
)
else:
return Command(
goto="reviser",
update={"status": "FAILED", "feedback": "Score too low, revise content."}
)
def reviser(state: AgentState):
return {"score": state["score"] + 30}
def approver(state: AgentState):
return {"status": "PUBLISHED"}
builder = StateGraph(AgentState)
builder.add_node("reviewer", reviewer)
builder.add_node("reviser", reviser)
builder.add_node("approver", approver)
builder.add_edge("__start__", "reviewer")
builder.add_edge("reviser", "reviewer") # Loop back
builder.add_edge("approver", "__end__")
app = agentmesh_adapter.compile(builder)
result = app.invoke({"score": 60, "feedback": "", "status": "PENDING"})
print("Final Status:", result["status"]) # PUBLISHEDCommand supports targeting multiple parallel nodes:
return Command(
goto=["analyst_a", "analyst_b"],
update={"status": "FANOUT"}
)
```\nGetting Started
How-To Guides
- Compile a Graph
- Annotated Reducers
- Parallel Fanout
- Send() Map-Reduce
- Command() Routing
- Nested Subgraphs
- Async & Streaming
- Checkpointing & State
- Financial Swarm Example
Architecture
- System Overview
- C++ Engine Internals
- O(1) Scheduler
- Dual-Tier Graph
- Persistence & WAL
- Zero-Copy Pybind Bridge
- SOLID Design Principles
API Reference
Benchmarks
Contributing