[observability] Agentic Observability Report — 2026-03-11 to 2026-03-25 #22849
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Observability report covering the 14-day window from 2026-03-11 to 2026-03-25 for
github/gh-aw. Data was collected from 25 runs across two log queries. No escalation issue was opened — no workflow crossed the two-run threshold for repeated risky behavior.Executive Summary
The repository's agentic workflows are broadly healthy. All 25 analyzed episodes are standalone with high confidence and no shared lineage (no orchestrator–worker DAGs detected). Zero escalation-eligible episodes were identified. The only notable finding is a single Glossary Maintainer run (2026-03-18) that produced high-severity resource-heavy and medium-severity poor-control assessments, indicating an over-broad execution that warranted attention but did not repeat within the window. Fourteen workflows consistently receive low-severity
overkill_for_agenticsignals, suggesting a portfolio cleanup opportunity.No MCP failures, no blocked network requests, and no missing-tool reports were observed across the entire period.
Key Metrics
resource_heavy_for_domainpoor_agentic_controloverkill_for_agenticlatest_successfallbackHighest Risk Episodes
resource_heavy_for_domain(HIGH): 19 tool types used, 1 write action, 21 turns, 15.5 minutes. Heavy execution profile for a maintenance task shape.poor_agentic_control(MEDIUM): Exploratory execution combined with selective_write actuation and no measurable friction signals.in_progressand showed a lean/directed/read_only fingerprint, which is encouraging but inconclusive.Episode Regressions
None. No workflow showed a degraded pattern relative to a prior successful baseline. No episode moved from read-only to write-capable posture unexpectedly. No episode showed new MCP failures or blocked-request increases.
Recommended Actions
Monitor Glossary Maintainer next scheduled run: Verify whether the 2026-03-18 heavy/exploratory pattern repeats. If it does, open a scoped follow-up. A tighter prompt with explicit tool constraints and an early-exit condition would help. Route:
workflow:Glossary Maintainer.Establish baselines: All 25 runs show
baseline_found: false. As runs accumulate, cohort comparisons will become available and regression detection will improve substantially. No action needed, but be aware that current signals are first-run impressions only.Review overkill candidates (portfolio cleanup): 12+ workflows consistently show
overkill_for_agentic(low severity). These are lean, directed, narrow, read_only workflows handling Issue Response and Code Fix domains. Consider whether any can be replaced with deterministic GitHub Actions steps or simple label/comment automation. This is a cleanup opportunity, not an incident.Per-Workflow Detail (last 7 days)
Most of the 0-turn, 0-token runs in the last 7 days appear to be skipped or early-exit runs triggered by events that did not match the workflow's activation conditions. This is expected behavior for multi-trigger workflows.
Prior week sample (2026-03-18)
Five runs sampled from 2026-03-11 to 2026-03-18:
api.githubcopilot.com, 0 blocked.Deterministic Episode Model Observations
All 25 episodes were classified as
kind: standalonewith reasonno_shared_lineage_markers. No orchestrator–worker or workflow_run chains were detected. Theedges[]array was empty across all queries.This means either:
If delegation is expected, verify that trigger workflows pass lineage context (e.g.,
workflow_call_id) to child runs.References:
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