Skip to main content
The Tracing page provides comprehensive observability for all LLM requests flowing through the HasteKit LLM Gateway. It allows you to monitor request performance, debug issues, and analyze usage patterns across different providers, models, and virtual keys. Traces Overview The Traces page displays a summary dashboard with key metrics, search and filtering capabilities, and a detailed table of all LLM request traces.

​
Overview

Tracing in the HasteKit LLM Gateway uses OpenTelemetry to collect and display detailed information about every LLM request. Each request generates a trace that includes:
  • Trace ID: Unique identifier for the request
  • Provider: Which LLM provider was used (OpenAI, Anthropic, Gemini, etc.)
  • Model: Specific model that processed the request
  • Duration: How long the request took to complete
  • Status: Whether the request succeeded or failed
  • Timestamp: When the request occurred

​
Searching and Filtering Traces

The Traces page provides several ways to find specific traces:

​
Search by Trace ID

  1. Enter a trace ID in the Search field
  2. The table will filter to show only matching traces
Trace IDs are unique identifiers that can be used to track a specific request through the system.

​
Filter by Service

  1. Click the Service dropdown
  2. Select a specific service, or choose “All Services” to see all traces
This filter helps you focus on requests from specific applications or services.

​
Filter by Time Range

  1. Click the Time Range dropdown
  2. Select a predefined time range:
    • Last 1 hour
    • Last 6 hours
    • Last 24 hours
    • Last 7 days
    • Last 30 days
    • Custom range
The time range filter updates the summary statistics and trace table to show only traces within the selected period.

​
Applying Filters

  1. Set your desired filters (Service, Time Range)
  2. Optionally enter a trace ID in the search field
  3. Click the Apply button to apply all filters
  4. Click Clear to reset all filters to defaults