Add clarification latency, backlog, session-duration, and AI cost metrics #3

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tral merged 1 commit from worktree-ai-observability into master 2026-07-22 21:27:50 -07:00
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Four higher-value metrics on top of the existing observability build-out:
vibekanka_discord_clarification_response_seconds (human responsiveness SLA),
vibekanka_clarification_backlog (full DB-level pending count, vs. the
narrower in-memory _outstanding gauge), vibekanka_session_processing_duration_seconds
(end-to-end process_transcript time, broader than the AI-call duration
alone), and vibekanka_ai_cost_usd_total (estimated USD cost from token
counts via a hand-maintained per-model price table).

Co-Authored-By: Claude Sonnet 5 noreply@anthropic.com

Four higher-value metrics on top of the existing observability build-out: vibekanka_discord_clarification_response_seconds (human responsiveness SLA), vibekanka_clarification_backlog (full DB-level pending count, vs. the narrower in-memory _outstanding gauge), vibekanka_session_processing_duration_seconds (end-to-end process_transcript time, broader than the AI-call duration alone), and vibekanka_ai_cost_usd_total (estimated USD cost from token counts via a hand-maintained per-model price table). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Four higher-value metrics on top of the existing observability build-out:
vibekanka_discord_clarification_response_seconds (human responsiveness SLA),
vibekanka_clarification_backlog (full DB-level pending count, vs. the
narrower in-memory _outstanding gauge), vibekanka_session_processing_duration_seconds
(end-to-end process_transcript time, broader than the AI-call duration
alone), and vibekanka_ai_cost_usd_total (estimated USD cost from token
counts via a hand-maintained per-model price table).

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
tral merged commit fd6f3b3570 into master 2026-07-22 21:27:50 -07:00
tral deleted branch worktree-ai-observability 2026-07-22 21:27:54 -07:00
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