Export and analyze Arize traces and spans by ID for debugging LLM applications.
npx skills add https://github.com/Arize-ai/arize-skills --skill arize-trace
Please help me install this Agent Skill. Skill: arize-trace Source: https://github.com/Arize-ai/arize-skills/tree/main/skills/arize-trace Command: npx skills add https://github.com/Arize-ai/arize-skills --skill arize-trace
This Skill simplifies the process of downloading and analyzing trace data from Arize, enabling faster debugging of LLM application issues.
ax spans export and ax traces export commands.Use the arize-trace skill to export all error traces from the project 'my-llm-project' for the last day.
High-intent search queries and answers about installing and using this skill.
Export Arize traces for debugging LLM errors by using the `ax traces export` command to download data filtered by trace ID, session ID, or span ID for targeted analysis.
Yes, you can filter Arize spans to identify performance bottlenecks by exporting span data with the `ax spans export` command, enabling targeted analysis of latency and errors.
Downloading trace data from Arize for LLM debugging requires the `ax` CLI installed and valid Arize credentials configured to authenticate export commands.
Analyzing error traces from the last 24 hours in Arize involves using export commands with filtering capabilities to download project error traces and pinpoint root causes.
Exporting Arize traces and spans for LLM debugging is constrained by requiring the `ax` CLI and valid Arize credentials to execute the export commands successfully.
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