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Documentation Index

Fetch the complete documentation index at: https://docs.langtrace.ai/llms.txt

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

Tracing is a fundamental feature of Langtrace that enables the collection and analysis of data from your LLM applications. This overview introduces key concepts and components of the tracing system. Tracing Image

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What is Tracing?

In the context of Langtrace, tracing refers to the process of capturing detailed information about the execution of your LLM apps. This includes data such as:
  • Input and output tokens
  • Response times
  • Model parameters
  • User feedback
  • Custom attributes

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Core Components

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SDK

The Langtrace SDK is the primary tool for implementing tracing in your application. It:
  • Integrates easily with your existing codebase
  • Collects traces automatically
  • Allows for custom attribute tracking

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Dashboard

The Langtrace Dashboard provides a web interface for:
  • Visualizing collected traces
  • Analyzing performance metrics
  • Identifying trends and anomalies

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Next Steps

The following sections will dive deeper into specific tracing features and provide implementation guides for various use cases.