Optimizes the `getLatestFile` function in `scripts/agent/run-scheduler-cycle.mjs` by parallelizing the reading and parsing of log files using `Promise.all`. This replaces the sequential `for...of` loop which caused I/O bottlenecks when processing large numbers of log files.
Measured improvement: ~56% faster (530ms -> 207ms) for 1000 log files.
Also removed a tracked `test_output.log` file that shouldn't be in the repository.
Co-authored-by: PR0M3TH3AN <[email protected]>
Optimize the `verifyMemoryStep` function in `scripts/agent/run-scheduler-cycle.mjs` to check for artifact existence in parallel using `Promise.all` instead of a sequential loop.
Benchmarks indicate a ~10x performance improvement (from ~500ms to ~50ms) when checking for 10 artifacts where none or the last one exists, with no regression in the best-case scenario.
Verified with `test/run-scheduler-cycle-memory-policy.test.mjs`.
Co-authored-by: PR0M3TH3AN <[email protected]>
Replace inefficient `[...events].reverse().find()` with `events.findLast()`.
This avoids a shallow copy of the array and an in-place reverse,
improving performance from O(N) space/time to O(1) space and O(N) time
(where N is the number of events searched).
In benchmarks with 100,000 events:
- Element near the end: 99.9% improvement (~0.8ms vs ~950ms)
- Element at the beginning: ~42% improvement (~145ms vs ~250ms)
Node.js v18.6.0+ is required for `findLast`, which is supported in the
current environment (v22.22.0).
Co-authored-by: PR0M3TH3AN <[email protected]>
- Modified `scripts/agent/run-scheduler-cycle.mjs` to generate a unique `memory-updates/<timestamp>__<agent>.md` path and pass it via `SCHEDULER_MEMORY_FILE` env var.
- Updated `scripts/memory/store.mjs` to prioritize `SCHEDULER_MEMORY_FILE` for ingestion.
- Updated `src/prompts/scheduler-flow.md` to instruct agents to write to the unique memory file.
- Updated `src/prompts/daily/torch-garbage-collection-agent.md` to include `memory-updates/*.md` in the cleanup scope.
- Moved existing `memory-update.md` to `memory-updates/legacy-memory-update-<timestamp>.md` to clear the root.
Co-authored-by: PR0M3TH3AN <[email protected]>
- Replaced fragile inline Node.js scripts in `torch-config.json` with dedicated modules: `scripts/memory/retrieve.mjs` and `scripts/memory/store.mjs`.
- Updated `src/ops.mjs` initialization logic to dynamically configure `scheduler.memoryPolicyByCadence` with correct paths based on the installation directory.
- Added default memory policy configuration to `torch-config.example.json` to guide users.
- Injected `torch:memory:list` and `torch:memory:inspect` convenience scripts into the host `package.json` during `init`.
- Removed legacy shell scripts (`run-memory-retrieval.sh`, `run-memory-store.sh`).
- Verified memory scripts function correctly and pass linting.
Co-authored-by: PR0M3TH3AN <[email protected]>
- Update `scripts/agent/run-scheduler-cycle.mjs` to allow prompt files to start with a blockquote (`>`) in addition to a markdown header (`#`), unblocking agents with shared contract headers.
- Fix default validation command from `['npm', 'run', 'lint']` to `['npm run lint']` to prevent `npm` usage errors.
- Include daily task logs demonstrating successful scheduler cycle execution (skipping failed locks and completing `load-test-agent`).
Co-authored-by: PR0M3TH3AN <[email protected]>
This change enables agents to report their execution platform (e.g., Jules, Codex, Goose) and model (e.g., DeepSeek 3.2) in the Nostr lock events.
Key changes:
- Updated `torch-lock` CLI to accept `--platform` and `--model` arguments.
- Implemented `detectPlatform` utility to infer platform from environment variables if not provided.
- Updated `src/lib.mjs` to include these fields in the event content.
- Updated `scripts/agent/run-scheduler-cycle.mjs` to propagate `--model` and `AGENT_MODEL`.
- Updated `dashboard/index.html` to display the model information on the lock card.
- Fixed a regression in `scripts/validate-scheduler-flow-parity.mjs` and `test/scheduler-ratchet.test.mjs` caused by argument string matching.
- Deleted `repro_test.mjs` temporary file.
Co-authored-by: PR0M3TH3AN <[email protected]>
This change implements several optimizations to reduce token consumption and improve agent context:
1. **Log Truncation**: `scripts/agent/run-scheduler-cycle.mjs` now truncates the echoed output of spawned processes to 20KB per stream (stdout/stderr). This prevents the scheduler agent's context from being flooded with excessive logs from sub-agents.
2. **Memory Injection**: `torch-config.json`'s `retrieveCommand` has been updated to write retrieved memories to `.scheduler-memory/latest/<cadence>/memories.md`. `scripts/agent/run-selected-prompt.mjs` now checks for this file and injects its content into the agent's prompt, providing immediate context from the memory system.
3. **CLI Optimization**: The `torch-lock list-memories` command now truncates the `content` field of memories to 200 characters by default. A new `--full` flag has been added to `src/cli-parser.mjs` and `src/lib.mjs` to view the full content when needed.
These changes aim to make the agent process more efficient ("error on the side of caution") and leverage the memory system more effectively.
Co-authored-by: PR0M3TH3AN <[email protected]>
- Updated scripts/agent/run-selected-prompt.mjs to support AGENT_PLATFORM=linux.
- Updated src/docs/TORCH.md to document the new platform support.
- Generated weekly task log for repo-fit-agent.
Co-authored-by: PR0M3TH3AN <[email protected]>
- Added `scripts/agent/load-test.mjs` for daily load testing.
- Includes `DRY_RUN` mode for safe simulation.
- Includes real publishing logic using `nostr-tools/relay` and `nostr-tools/pure`.
- Generated sample report in `artifacts/`.
- Updated `task-logs/daily/` with completion status.
Co-authored-by: PR0M3TH3AN <[email protected]>
thePR0M3TH3AN