docs(10.2): capture phase context
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# Phase 10.2: Better Logging & Log Management - Context
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**Gathered:** 2026-02-08
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**Status:** Ready for planning
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<domain>
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## Phase Boundary
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Improve operational visibility into the bot's own execution. Add centralized error capture, execution tracing, and debugging infrastructure so that issues (sub-workflow data loss, callback routing confusion, Docker API failures) can be diagnosed programmatically rather than through manual investigation of n8n execution logs.
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This is NOT about container log viewing (the /logs command) — it's about the bot's internal execution logging.
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</domain>
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<decisions>
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## Implementation Decisions
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### Error capture & reporting
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- Errors display inline to the user as summary + cause (e.g., "Failed to stop nginx: Docker API returned 404 (container not found)")
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- Full diagnostic data (sub-workflow name, node, raw response, stack trace) captured in central error store for Claude's use
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- Only report errors on user-triggered actions — no proactive/unsolicited error notifications
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- Error store uses ring buffer: last 50 errors, auto-rotated
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- Manual clear command also available (/clear-errors or similar, hidden/unlisted)
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### Execution traceability
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- All sub-workflows report errors back to main workflow for centralized storage
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- Trace data designed for programmatic access — Claude can query it during debugging sessions
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- Hidden/unlisted Telegram commands for quick error checks (e.g., /errors to see recent errors)
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- File-based access also available for deep investigation during debugging sessions
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### Log output & storage
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- Error/trace data stored in n8n workflow static data (main workflow)
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- Centralized in main workflow — sub-workflows report back, main stores
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- Auto-rotate (ring buffer, 50 entries) + manual clear command
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- Both Telegram commands (quick checks) and file/API access (deep investigation)
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### Debug mode
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- Debug mode is for Claude's use during debugging — not user-facing
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- Must address three specific pain points:
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1. **Sub-workflow data loss** — capture what data was sent to and received from each sub-workflow at boundaries
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2. **Callback routing confusion** — trace which path a callback took through routing logic
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3. **n8n API execution log parsing** — make execution data easily queryable without manual workflow investigation
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### Claude's Discretion
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- Trace format and structure (timeline vs. data snapshots vs. both)
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- Whether to trace all executions or only errors (overhead vs. usefulness)
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- Structured entries vs. simple log lines (what enables best debugging)
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- Debug toggle mechanism (global toggle, per-request, or always-on for errors)
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- Log level granularity (on/off vs. error/warn/info)
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- What specific debug data to capture (raw API responses, sub-workflow I/O, timing)
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- Telegram command naming and exact interface
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</decisions>
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<specifics>
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## Specific Ideas
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- "I want you to be more easily able to track down issues when they occur" — the driving goal is Claude's ability to programmatically diagnose issues
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- Past pain points: sub-workflow boundary data disappearing, callback routing taking unexpected paths, difficulty parsing n8n execution API responses
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- "These logs would resolve these issues" — the logging infrastructure should make the three pain points immediately queryable
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- Error commands should be hidden/unlisted (developer/debug tools, not part of normal command set)
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</specifics>
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<deferred>
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## Deferred Ideas
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None — discussion stayed within phase scope
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</deferred>
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---
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*Phase: 10.2-better-logging-and-log-management*
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*Context gathered: 2026-02-08*
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