Inspect Runnables
Last updated
Last updated
Author: ranian963
Peer Review:
This is a part of LangChain Open Tutorial
In this tutorial, we introduce how to inspect and visualize various components (including the graph structure) of a Runnable
chain. Understanding the underlying graph structure can help diagnose and optimize complex chain flows.
Set up the environment. You may refer to Environment Setup for more details.
[Note]
langchain-opentutorial
is a package that provides a set of easy-to-use environment setup, useful functions and utilities for tutorials.
You can checkout the langchain-opentutorial
for more details.
You can alternatively set OPENAI_API_KEY
in .env
file and load it.
[Note] This is not necessary if you've already set OPENAI_API_KEY
in previous steps.
LangChain Runnable
objects can be composed into pipelines, commonly referred to as chains or flows. After setting up a runnable
, you might want to inspect its structure to see what's happening under the hood.
By inspecting these, you can:
Understand the sequence of transformations and data flows.
Visualize the graph for debugging.
Retrieve or modify prompts or sub-chains as needed.
We'll create a runnable chain that includes a retriever from FAISS, a prompt template, and a ChatOpenAI model. Then we’ll inspect the chain’s graph to understand how data flows between these components.
We can inspect the chain’s internal graph of nodes (steps) and edges (data flows).
We can also print the graph in an ASCII-based diagram to visualize the chain flow.
Finally, we can retrieve the actual prompts used in this chain. This is helpful to see exactly what LLM instructions are being sent.