Query and filter Ara agent traces with Braintrust permalinks and SQL-backed transcripts.
npx skills add https://github.com/Aradotso/ara.engineer --skill trace-aradotso
Please help me install this Agent Skill. Skill: trace Source: https://github.com/Aradotso/ara.engineer/tree/main/skills/trace Command: npx skills add https://github.com/Aradotso/ara.engineer --skill trace-aradotso
Debugging and auditing Ara agent traces across builds, conversations, and tools by providing structured, searchable trace data and shareable Braintrust links.
Run bt view logs to locate recent webhook.inbound entries, then use /trace commands to inspect, filter, and generate Braintrust permalinks for sharing.
High-intent search queries and answers about installing and using this skill.
To debug agent traces, you can identify, extract, and correlate conversation and tool invocation data to generate SQL-backed inline transcripts and shareable Braintrust permalinks for auditing.
The best way to query inbound webhooks is by running bt view logs to locate recent webhook.inbound entries, then using /trace commands to inspect, filter, and correlate website-agent stack data.
Yes, you can aggregate top-user statistics and generate per-user trace summaries from conversation transcripts while strictly preserving user privacy across the queried data views.
Yes, trace debugging supports production performance analysis and auditing by enabling end-to-end scoring and allowing you to grow regression datasets to maintain trace quality.
You perform health checks on agent traces by applying end-to-end scoring and querying structured trace data across builds, tool invocations, and user conversations to maintain quality.
Trace queries may fail if the data views are not properly filtered; use /trace commands to inspect and correlate inbound webhooks, turns, and conversations across the website-agent stack.
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