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Documentation Index

Fetch the complete documentation index at: https://docs.runcascade.com/llms.txt

Use this file to discover all available pages before exploring further.

Cascade provides auto-instrumentation for LangGraph and LangChain. A single function call translates the framework’s native events into Cascade spans with no changes to your existing agent code.

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Setup

from cascade import init_tracing
from cascade.integrations import instrument_langgraph

init_tracing(project="my_langgraph_app")
instrument_langgraph()

# Existing LangGraph code - no changes needed
app = graph.compile()
result = app.invoke({"messages": [...]})
Requires langgraph and langchain-core packages:
pip install langgraph langchain-core

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What gets traced automatically

The integration automatically captures:
  • Graph node executions: chains and their relationships
  • LLM calls: with model, prompt, completion, and token counts
  • Tool calls: with input and output values
  • Retriever calls: with query and retrieved documents
  • Agent delegations: sub-agent handoffs and orchestration