claude-mem/test-results/test-09-hook-timeout.json

[{"type":"text","text":"## Added PreToolUse hook to lifecycle configuration\n*Source: claude-mem://observation/10541*\n\n**New PreToolUse hook executes pre-tool-use-hook.js before any tool is invoked by Claude.**\n\nA new PreToolUse lifecycle hook was added to the claude-mem plugin configuration to enable capturing state before tools are executed. This complements the existing PostToolUse hook that runs save-hook.js after tool execution. By adding pre-tool-use-hook.js with the same wildcard matcher and timeout settings as PostToolUse, the system can now monitor and potentially intercept or prepare for tool invocations before they occur. This creates a complete before/after hook pattern for tool usage tracking.\n\n---\nType: feature | Facts: Added PreToolUse hook section to plugin/hooks/hooks.json before the existing PostToolUse hook; PreToolUse hook runs pre-tool-use-hook.js script with 120s timeout; PreToolUse hook uses matcher \"*\" to trigger on all tool invocations; The hook system now captures both before and after states of tool usage | Concepts: what-changed, pattern, why-it-exists | Files: plugin/hooks/hooks.json\n\n---\nDate: 11/17/2025, 7:16:47 PM\n\n---\n\n## Claude-mem plugin hooks configuration structure\n*Source: claude-mem://observation/10539*\n\n**The hooks.json file defines five lifecycle hooks that trigger Node.js scripts at different session stages.**\n\nThe hooks.json configuration file reveals the complete lifecycle management system for the claude-mem plugin. It defines five distinct lifecycle events with corresponding Node.js scripts. At session start, the system performs installation checks and loads context. During the session, it captures user prompts and saves tool usage data. At session stop and end, it generates summaries and performs cleanup. All scripts are referenced using ${CLAUDE_PLUGIN_ROOT} environment variable for portability, and each has defined timeout limits to prevent hanging operations.\n\n---\nType: discovery | Facts: File plugin/hooks/hooks.json configures SessionStart, UserPromptSubmit, PostToolUse, Stop, and SessionEnd hooks; SessionStart hook runs smart-install.js, context-hook.js, and user-message-hook.js with timeouts of 300s and 10s; UserPromptSubmit hook executes new-hook.js with 120s timeout on every user prompt submission; PostToolUse hook runs save-hook.js with 120s timeout after any tool use (matcher: \"*\"); Stop hook triggers summary-hook.js and SessionEnd triggers cleanup-hook.js, both with 120s timeouts; SessionStart hooks use matcher \"startup|clear|compact\" to control when they execute | Concepts: how-it-works, why-it-exists, pattern | Files: plugin/hooks/hooks.json\n\n---\nDate: 11/17/2025, 7:13:54 PM\n\n---\n\n## Phase 3: Conditional Blocking Logic Implemented in Save Hook\n*Source: claude-mem://observation/10478*\n\n**Save hook now conditionally blocks based on Endless Mode configuration, waits for observations, and transforms transcripts.**\n\nPhase 3 of the Endless Mode implementation has been completed in the save-hook.ts file. The hook now implements conditional blocking logic based on the EndlessModeConfig.enabled flag. When Endless Mode is enabled (and tool_use_id and transcript_path are available), the hook switches to synchronous mode by appending wait_until_obs_is_saved=true to the endpoint URL and increasing the timeout from 2 to 90 seconds. After sending the observation request, the hook awaits the JSON response and handles three possible states. On 'completed' status, it receives the observation data and calls transformTranscript() to replace the tool output in the JSONL file with compressed observation markdown. On 'timeout' status, it logs a warning and falls back to using the full output while the observation continues processing in the background. On 'queued' status (async mode), it simply logs success. The implementation includes error handling for transcript transformation failures that allows execution to continue even if compression fails. This completes the integration of all three phases: synchronous observation endpoint (Phase 1), transcript transformation logic (Phase 2), and conditional blocking behavior (Phase 3).\n\n---\nType: feature | Facts: Save hook checks EndlessModeConfig.getConfig().enabled to determine blocking behavior; Blocking mode requires enabled flag, tool_use_id, and transcript_path to all be present; Endpoint URL conditionally includes query parameter wait_until_obs_is_saved=true for synchronous mode; Timeout increased from 2 seconds to 90 seconds when Endless Mode is enabled; Hook awaits response JSON and handles three states: completed, timeout, and queued; On status 'completed', hook calls transformTranscript() to replace tool output with compressed observation; On status 'timeout', hook logs warning and falls back to full output while observation completes asynchronously; Transcript transformation errors are caught and logged but don't fail the hook execution; Async mode behavior remains unchanged when Endless Mode is disabled | Concepts: how-it-works, what-changed, pattern | Files: src/hooks/save-hook.ts\n\n---\nDate: 11/17/2025, 6:36:54 PM\n\n---\n\n## Endless Mode Implementation Plan Documentation Created\n*Source: claude-mem://observation/10420*\n\n**Comprehensive four-phase plan documented for completing Endless Mode with blocking observation creation and transcript transformation.**\n\nA comprehensive implementation plan was documented to complete the Endless Mode feature. The plan acknowledges that infrastructure components (TransformLayer.ts, EndlessModeConfig.ts, tool_use_id tracking) are already in place on the experiment/endless-mode branch, but critical components are missing. The implementation is divided into four phases: Phase 1 creates a synchronous observation endpoint that blocks until observation creation completes (with timeout fallback), Phase 2 implements transcript file transformation to replace full tool outputs with compressed observations on disk, Phase 3 adds conditional blocking behavior to the save-hook based on configuration, and Phase 4 defines comprehensive testing procedures. The plan includes specific success criteria for each phase and overall success metrics targeting 80-95% token reduction while maintaining sub-120s hook execution times. This completes the architecture described in endless-mode-blocking-hooks-plan.md and supersedes the earlier UserPromptSubmit hook approach.\n\n---\nType: decision | Facts: Created endless-mode-implementation-plan.md in docs/context directory; Infrastructure is complete including TransformLayer.ts, EndlessModeConfig.ts, and tool_use_id tracking; Missing components identified: synchronous observation endpoint, transcript file transformation, and blocking save-hook behavior; Phase 1 focuses on creating synchronous observation endpoint in worker-service.ts with 60-90s wait time; Phase 2 implements transcript transformation in save-hook.ts to replace full tool results with compressed observation markdown; Phase 3 adds conditional blocking logic to save-hook based on EndlessModeConfig with timeout fallback; Phase 4 defines testing and validation procedures targeting 80-95% token reduction; TransformLayer.ts currently only handles in-memory SDK transformation, not on-disk transcript transformation | Concepts: pattern, trade-off, how-it-works, problem-solution | Files: docs/context/endless-mode-implementation-plan.md\n\n---\nDate: 11/17/2025, 4:00:05 PM\n\n---\n\n## Save-hook sends tool_use_id to worker observation endpoint\n*Source: claude-mem://observation/10406*\n\n**Modified POST request body to include extracted tool_use_id alongside tool data for observation storage**\n\nThe final portion of the save-hook changes completes the tool_use_id integration by including it in the HTTP request body sent to the worker service. After extracting the tool_use_id from the transcript via getLatestToolUseId, the hook adds it to the observation data payload alongside the tool name, inputs, outputs, prompt number, and working directory. This ensures the worker service receives the linking information needed to store observations with their corresponding tool_use_id in the database. The logging also captures this ID for debugging, displaying either the actual ID or '(none)' when extraction fails. This completes the data flow from transcript parsing through observation storage, establishing the foundation for EndlessMode's later retrieval and compression operations.\n\n---\nType: feature | Facts: POST request to worker observations endpoint now includes tool_use_id field in body; Tool_use_id added alongside existing fields: tool_name, tool_input, tool_response, prompt_number, cwd; Request maintains 2-second timeout via AbortSignal; Logger output includes toolUseId field showing extracted ID or '(none)' if not found | Concepts: what-changed, how-it-works | Files: src/hooks/save-hook.ts\n\n---\nDate: 11/17/2025, 3:49:43 PM"}]