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Catalyst uses the LangChain callback path for LangGraph workflows. A compiled graph emits a graph-level CHAIN span and node-level CHAIN spans parented under the graph run.

​
Install

bun add @inference/tracing @langchain/core @langchain/langgraph

​
TypeScript State Graph

TypeScript
import { setup } from "@inference/tracing";
import * as CallbackManagerModule from "@langchain/core/callbacks/manager";
import { Annotation, END, START, StateGraph } from "@langchain/langgraph";

const tracing = await setup({
  serviceName: "counter-graph",
  modules: { langchainCallbacksManager: CallbackManagerModule },
});

const State = Annotation.Root({
  count: Annotation<number>({
    reducer: (_left, right) => right,
    default: () => 0,
  }),
});

const graph = new StateGraph(State)
  .addNode("increment", (state) => ({ count: state.count + 1 }))
  .addNode("double", (state) => ({ count: state.count * 2 }))
  .addEdge(START, "increment")
  .addEdge("increment", "double")
  .addEdge("double", END)
  .compile();

const result = await graph.invoke({ count: 1 });
console.log(result);

await tracing.shutdown();

​
Python State Graph

Python
from inference_catalyst_tracing import setup
from langgraph.graph import END, START, StateGraph
from typing_extensions import TypedDict

class GraphState(TypedDict):
    count: int

tracing = setup(service_name="counter-graph")

def increment(state: GraphState) -> GraphState:
    return {"count": state["count"] + 1}

def double(state: GraphState) -> GraphState:
    return {"count": state["count"] * 2}

builder = StateGraph(GraphState)
builder.add_node("increment", increment)
builder.add_node("double", double)
builder.add_edge(START, "increment")
builder.add_edge("increment", "double")
builder.add_edge("double", END)

graph = builder.compile()
print(graph.invoke({"count": 1}))

tracing.shutdown()

​
What To Look For

  • A graph span named LangGraph
  • Node spans named after graph nodes
  • openinference.span.kind=CHAIN on graph and node spans
  • Node spans parented under the graph span
For agent-style graphs, model and tool spans created inside node functions appear below the active graph or node context.