
State Validation and Integrity
Ensuring your graph never processes garbage data.
State Validation and Integrity
Garbage In, Garbage Out. But in an agent, Garbage Out leads to an Infinite Loop.
Pydantic Validation
LangGraph integrates seamlessly with Pydantic.
from pydantic import BaseModel, Field
class AgentState(BaseModel):
summary: str
citation_count: int = Field(ge=0) # Must be positive
# The Runtime automatically checks types on every step
def my_node(state: AgentState):
# If we return this, the graph CRASHES with ValidationError
return {"citation_count": -5}
Why Crash?
Visualizing the Process
graph TD
Start[Input] --> Process[Processing]
Process --> Decision{Check}
Decision -->|Success| End[Complete]
Decision -->|Retry| Process
It is better to crash immediately with a clear ValidationError than to continue processing with invalid data that leads to silent hallucinations 10 steps later.