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Records LangChain LLM calls (model, prompts, token counts) and tool calls. Also verified: langchain 1.3.15 with instrumentor 0.1.76. The extra no longer installs that older instrumentor. See supported frameworks for how verification works.

In code

Call tracing.init(), attach the framework instrumentor to the provider it returns, and wrap the work in tracing.turn() and tracing.agent().
1

Install

terminal
2

Add the code

app.py
3

Run

terminal
Needs BOTGAUGE_API_KEY, OPENAI_API_KEY, OPENAI_MODEL. Set OPENAI_BASE_URL too if your LLM isn’t api.openai.com.

Zero-code

Leave your app unchanged and start it with botgauge instrument. The sample still wraps the work in tracing.turn() and tracing.agent() so spans carry session and agent ids.
1

Install

terminal
2

Add the code

app.py
3

Run

terminal
Needs BOTGAUGE_API_KEY, OPENAI_API_KEY, OPENAI_MODEL. Set OPENAI_BASE_URL too if your LLM isn’t api.openai.com.

View LangChain spans live

Watch your LangChain LLM and tool calls appear in BotGauge.

Try BotGauge →
See versions not verified if you run a different version, capture and redaction to control exported content, and troubleshooting if spans are missing.