langchain-visualizer
Visualization and debugging tool for LangChain workflows
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
44views this month
Decision brief
A Python-based tool for visualizing LangChain workflows, offering detailed insights into prompt interactions and execution flow.
Good fit when
- You prioritize UI aesthetics and colored highlighting of prompt parts.
- Need real-time visualization features during agent executions.
Avoid when
- Prefer the native tracing functionality provided by LangChain itself.
- Do not need detailed LLM call costs or execution flow insights.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (915d since push)
- As of Sep 8, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 8, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install langchain-visualizerSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A Python-based visualization and debugging tool that integrates with LangChain to provide insights into workflow interactions, execution flow, prompt details, and more.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Sep 8, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 8, 2026)
# LangChain VisualizerSource link
Source: README excerpt (regex_v1, Sep 8, 2026)
If you haven't yet set up your [OpenAI API keys](https://openai.com/api/) or SERP API keys, you can [replay the recorded iSource link
Source: README excerpt (regex_v1, Sep 8, 2026)
1. Add `import langchain_visualizer` as **the first import** in your Python entrypoint fileSource link
Tags
README
LangChain Visualizer Adapts Ought's ICE visualizer for use with LangChain so that you can view LangChain interactions with a beautiful UI. You can now See the full prompt text being sent with every interaction with the LLM Tell from the coloring which parts of the prompt are hard...
For agents
This page has a .md twin and JSON over the API.