nntrivi2001
17d56d0e01
Clean break, no compatibility alias. Renames the product name, the CLI binary (`ccam` -> `agenthub`), the env var prefix (`CCAM_` -> `AGENTHUB_`), the Prometheus metric namespace (`ccam_*` -> `agenthub_*`), the tmux session prefix (`ccam-lane-<id>` -> `agenthub-lane-<id>`), the per-repo runtime profile directory (`.ccam/profile` -> `.agenthub/profile`), the lanes state root (`~/.claude/ccam-lanes` -> `~/.claude/agenthub-lanes`), the bundled plugins (`plugins/ccam*` -> `plugins/agenthub*`) and their slash commands (`/ccam-doctor` -> `/agenthub-doctor`, `/ccam:*` -> `/agenthub:*`). Because there is no alias, an existing install has to be updated by hand: rename its `.ccam/profile` directory and any `CCAM_*` variables, and reinstall the plugin under its new name. Two other name families are deliberately left alone here, since they are not just strings: the `Claude-Code-Monitor` repository/marketplace name, and the `agent-dashboard` npm package plus its `~/.claude/agent-dashboard` runtime directory, which holds the live database and needs a migration rather than a rename. Verified: server 1406/1406, client 459/459, `grep -i ccam` clean across tracked files, `openapi.yaml` regenerated (95 paths, unchanged count).
79 lines
2.8 KiB
Markdown
79 lines
2.8 KiB
Markdown
---
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description: >
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Debug a specific session by inspecting its full event chain (PreToolUse,
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PostToolUse, Stop, SubagentStop, Compaction, APIError, TurnDuration,
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Notification events), agent hierarchy (recursive parent/child tree with
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subagent_type and depth), token usage with compaction baselines, workflow
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intelligence data (orchestration DAG, error propagation by depth), and
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session metadata (thinking_blocks, turn_count, total_turn_duration_ms).
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---
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# Session Debug
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Debug and inspect a Claude Code session from Agent Monitor data.
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## Input
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The user provides: **$ARGUMENTS**
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This may be:
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- A session ID to debug
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- "latest" or "last" for the most recent session
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- "errors" to find and debug the most recent errored session
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## Procedure
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1. **Identify the target session**:
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- If session ID given: `GET /api/sessions/{id}` from `http://localhost:4820`
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- If "latest": `GET /api/sessions?limit=1` (default sort: most recently updated first)
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- If "errors": `GET /api/sessions?limit=10&status=error`
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2. **Collect full session data**:
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- Session metadata: status, model, cwd, timestamps, duration
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- Events: `GET /api/events?session_id={session_id}` — full event timeline
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- Agents: `GET /api/agents?session_id={session_id}` — all agents in session
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- Cost: `GET /api/pricing/cost/{session_id}`
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3. **Analyze the session**:
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### Session Lifecycle
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- Start time → first event → last event → end time
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- Status transitions (active → working → completed/error)
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- Total duration and active-vs-idle time
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### Event Chain Analysis
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- Chronological event list with timestamps and durations
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- Identify the **critical path** (longest chain of dependent events)
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- Flag events that took unusually long
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- Highlight error events with full error context
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### Agent Inspection
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- List all agents: type, task, status, duration
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- Subagent tree visualization (parent → children)
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- Agents that failed and their last known state
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- Agent switching patterns (when and why new agents spawned)
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### Tool Execution Trace
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- Every tool invocation in order with: tool name, duration, success/failure
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- Failed tool calls with error messages
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- Tool retry patterns (same tool called multiple times)
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### Anomaly Detection
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- Events out of expected order
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- Gaps in event timeline (>30s with no events)
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- Duplicate events or agent states
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- Token usage spikes (compaction indicators)
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4. **Diagnosis**:
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- Root cause hypothesis (if errors present)
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- Contributing factors
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- Remediation suggestions
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## Output Format
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Present as a debug report with:
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- Session summary header (ID, status, model, duration, cost)
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- Color-coded timeline (✅ success, ❌ error, ⚠️ warning, ℹ️ info)
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- Agent tree diagram
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- Diagnosis section with numbered findings
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