Tracing In LangGraph
Tracing helps you understand what’s happening under the hood when an agent run is called. You get to understand the path, tools calls made, context used, latency taken when you run your agent using TrueFoundry’s tracing functionality.
With TrueFoundry, you can easily monitor LangGraph by capturing traces. This data provides real-time insights into AI agent interactions, execution paths, and overall system performance. By integrating, you can instrument LangGraph workflows to capture spans and traces. These traces are then visualized in TrueFoundry, giving you a clear view of execution flows. Real-time observability allows you to analyze resource usage and performance trends, enabling you to optimize workflows. This integration helps fine-tune AI-driven automation, boosting both reliability and efficiency in LangGraph-based applications.
lnstall dependencies:
First, you need to install the following
Setup environment variables:
Add the necessary environment variables to enable tracing
Generate API key from here
Demo LangGraph Agent
The following demo agent is a research agent which researches the latest trends to conduct detailed market research with keen attention to detail. For example, it can generate “A comprehensive report on AI and machine learning”