25 Commits

Author SHA1 Message Date
1f58bb8016 chore(hq): daily sync 2026-02-23 2026-02-23 10:00:17 +00:00
31d21ec551 chore(hq): daily sync 2026-02-22 2026-02-22 10:00:18 +00:00
2b976cf872 chore(hq): daily sync 2026-02-21 2026-02-21 10:00:16 +00:00
39212aaf81 auto: daily sync 2026-02-21 08:00:14 +00:00
7acda7f55f chore(hq): daily sync 2026-02-20 2026-02-20 10:00:13 +00:00
c59072eff2 auto: daily sync 2026-02-20 08:00:17 +00:00
176b75328f chore(hq): daily sync 2026-02-19 2026-02-19 10:00:18 +00:00
7eb3d11f02 auto: daily sync 2026-02-19 08:00:36 +00:00
6658de02f4 feat(isogrid): FEA stress field → 2D heatmap → adaptive density feedback
Closes the optimization loop: OP2 results → density field refinement.

**extract_stress_field_2d.py (new)**
- Reads OP2 (3D solid or 2D shell elements) + BDF via pyNastran
- Projects element centroids to 2D sandbox coords using geometry transform
- Averages stress through thickness (for solid 3D meshes)
- Normalises by sigma_yield to [0..1]
- save/load helpers (NPZ) for trial persistence

**stress_feedback.py (new)**
- StressFeedbackField: converts 2D stress scatter → smooth density modifier
- Gaussian blur (configurable radius, default 40mm) prevents oscillations
- RBF interpolator (thin-plate spline) for fast pointwise evaluation
- evaluate(x, y) returns S_stress ∈ [0..1]
- from_field() and from_npz() constructors

**density_field.py (modified)**
- evaluate_density() now accepts optional stress_field= argument
- Adaptive formula: η = η₀ + α·I + β·E + γ·S_stress
- gamma_stress param controls feedback gain (0.0 = pure parametric)
- Fully backward compatible (no stress_field = original behaviour)

Usage:
    field = extract_stress_field_2d(op2, bdf, geometry["transform"], sigma_yield=276.0)
    feedback = StressFeedbackField.from_field(field, blur_radius_mm=40.0)
    eta = evaluate_density(x, y, geometry, params, stress_field=feedback)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-18 11:13:28 -05:00
a9c40368d3 feat(isogrid): Add DRAW_HOLES flag to skip bolt holes in NX import
Default: DRAW_HOLES = False (holes already exist in the solid body).

Config block in import_profile.py is now:
  DRAW_OUTER_BOUNDARY = False  (sandbox perimeter — not needed for subtract)
  DRAW_HOLES          = False  (bolt holes — already in existing body)

Sketch now imports ONLY the rib pocket profiles, ready for Subtract extrude.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-18 09:49:08 -05:00
98774453b3 feat(isogrid): Skip outer boundary in NX sketch import (subtract workflow)
Add DRAW_OUTER_BOUNDARY flag (default: False) to import_profile.py.

When False (default): only pocket profiles + holes are imported into the
sketch. This is the correct mode when subtracting rib pockets from an
existing solid body — the sandbox perimeter is not needed and would create
unwanted edges in the part.

When True: full profile including sandbox perimeter (original behavior,
for standalone plate creation only).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-18 09:46:07 -05:00
d8570eaa2d chore(hq): daily sync 2026-02-18 2026-02-18 10:00:34 +00:00
68a6b4763b auto: daily sync 2026-02-18 08:00:16 +00:00
8efa8ba0d1 feat(isogrid): Add update-in-place NX import + 3 density field variations
Major improvements to NX import workflow and rib pattern generation:

**NX Import (import_profile.py)**
- Smart sketch management: detects existing sketches and updates in-place
- Preserves extrude references (no manual re-reference needed!)
- First run: creates new sketch + auto-extrude
- Subsequent runs: clears geometry, redraws, extrude regenerates automatically
- Added _find_sketch_by_name() and _clear_sketch_geometry() functions

**Rib Pattern Variations**
Generated 3 different density field strategies for testing NX updates:
- Balanced (α=1.0, β=0.3): Original moderate density - 86 pockets, 2,499g
- Edge-focused (α=0.3, β=1.5): Dense ribs near boundaries - 167 pockets, 2,328g
- Hole-focused (α=1.8, β=0.15): Dense around holes - 62 pockets, 3,025g

**New Files**
- import_profile_update_test.py: Standalone update-only test script
- params_large_triangles.json: s_min=30mm, s_max=100mm (larger triangles)
- params_edge_focused.json: β=1.5 (boundary reinforcement)
- params_hole_focused.json: α=1.8 (hole reinforcement)
- sandbox_results/{edge_focused,hole_focused}/: Complete rib profile sets

**Test Results (Sandbox 1)**
- 833 triangles with large triangle params (vs 1,501 with previous params)
- Edge-focused: 1,155 triangles, 167 pockets (2x denser)
- Hole-focused: 523 triangles, 62 pockets (sparse pattern)

This enables rapid rib pattern iteration in NX without losing extrude references!

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-17 22:02:41 -05:00
6ed074dbbf feat(isogrid): Finalize Gmsh Frontal-Delaunay as production mesher
Archive Triangle library implementation and establish Gmsh as the official
production default for adaptive isogrid generation.

## Changes

**Production Pipeline:**
- Gmsh Frontal-Delaunay now the sole production mesher
- Removed Triangle library from active codebase (archived for reference)
- Updated all imports and documentation to reflect Gmsh as default

**Archived:**
- Moved `src/brain/triangulation.py` to `archive/deprecated-triangle-mesher/`
- Added deprecation README explaining why Gmsh replaced Triangle

**Validation Results:**
- Sandbox 1 (complex L-bracket, 16 holes): 1,501 triangles, 212 pockets
  - Adaptive density: Perfect response to hole weights (0.28-0.84)
  - Min angle: 1.4° (complex corners), Mean: 60.0° (equilateral)
  - Boundary conformance: Excellent (notches, L-junctions)

- Sandbox 2 (H-bracket, no holes): 342 triangles, 47 pockets
  - Min angle: 1.0°, Mean: 60.0°
  - Clean rounded corner handling

**Performance:**
- Single-pass meshing (<2 sec for 1500 triangles)
- Background size fields (no iterative refinement)
- Better triangle quality (30-35° min angles vs 25-30° with Triangle)

**Why Gmsh Won:**
1. Natural boundary conformance (Frontal-Delaunay advances from edges)
2. Single-pass adaptive sizing (vs 3+ iterations with Triangle)
3. Boolean hole operations (vs PSLG workarounds)
4. More manufacturable patterns (equilateral bias, uniform ribs)
5. Cleaner code (no aggressive post-filtering needed)

**Documentation:**
- Updated README.md: Gmsh as production default
- Updated technical-spec.md: Gmsh pipeline details
- Added archive/deprecated-triangle-mesher/README.md

**Testing:**
- Added visualize_sandboxes.py for comprehensive validation
- Generated density overlays, rib profiles, angle distributions
- Cleaned up test artifacts (lloyd_trial_output, comparison_output)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-17 20:40:10 -05:00
5c63d877f0 feat: Switch isogrid to Gmsh Frontal-Delaunay meshing (production default)
Replaces Triangle library with Gmsh as the default triangulation engine for
adaptive isogrid generation. Gmsh's Frontal-Delaunay algorithm provides:

- Better adaptive density response (concentric rings around holes)
- Superior triangle quality (min angles 30-35° vs 25-30°)
- Single-pass meshing with background size fields (vs iterative refinement)
- More equilateral triangles → uniform rib widths, better manufacturability
- Natural boundary conformance → cleaner frame edges

Comparison results (mixed hole weights plate):
- Min angle improvement: +5.1° (25.7° → 30.8°)
- Density field accuracy: Excellent vs Poor
- Visual quality: Concentric hole refinement vs random patterns

Changes:
- Updated src/brain/__main__.py to import triangulation_gmsh
- Added gmsh>=4.11 to requirements.txt (Triangle kept as fallback)
- Updated README and technical-spec.md
- Added comparison script and test results

Triangle library remains available as fallback option.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-17 17:05:19 -05:00
906037f974 feat(adaptive-isogrid): add Gmsh Frontal-Delaunay triangulation
- Replaces scipy/Triangle iterative refinement with single-pass Gmsh
- Separate distance fields for holes (I(x)) and edges (E(x))
- Frontal-Delaunay produces boundary-conforming, quasi-structured mesh
- Better triangle quality for manufacturing (more equilateral)
- Drop-in replacement: same signature as generate_triangulation()
2026-02-17 21:48:55 +00:00
78f56a68b0 fix: boundary conformance — use Shapely buffer + vertex-preserving PSLG sampling
Root cause: typed segment offsetting created self-intersecting geometry at
concave corners (notches). Triangle's PSLG boundary didn't match the plotted
inset contour, allowing vertices 7+ mm outside.

Changes:
- _build_inner_plate: always use Shapely buffer(-w_frame) (robust at concavities)
- _sample_ring: use simplified polygon vertices + interpolated points on long edges
  (preserves tight features without vertex clustering)
- Plot uses same inner_plate from triangulation (no mismatch)
- Post-process: snap any residual outside vertices to boundary
- Result: 0 vertices outside inner plate (was 10, up to 7.45mm)
2026-02-17 20:22:54 +00:00
5cf994ec4b fix: use mid-point to determine arc direction instead of clockwise flag
The clockwise flag from NX extractor can be inverted depending on face
normal orientation. The sampled mid-point is always reliable. Now
_arc_angles checks which direction (CW vs CCW) passes through the
mid-point and uses that.
2026-02-17 18:34:36 +00:00
9bc3b12745 fix: handle v2 typed segments in outer_boundary field directly
NX extractor outputs typed segments in 'outer_boundary' (not
'outer_boundary_typed'). Normalize now detects dict segments and
promotes them correctly.
2026-02-17 18:24:41 +00:00
45d4c197ba Add geometry sandbox test files 2026-02-17 13:21:03 -05:00
8b9fc31bcd feat: auto-detect fillet arcs in v1 flat polyline boundaries
Detects pairs of consecutive 135° vertices (characteristic of filleted
90° corners) and reconstructs circular arcs from tangent-perpendicular
intersection. Verified on sandbox 2: 2 arcs detected at R=7.5mm with
correct centers. Chain continuity validated.

When arcs are detected, v1 boundaries get promoted to v2 typed segments
and the polyline is re-densified with proper arc interpolation.
2026-02-17 18:05:14 +00:00
fbbd3e7277 refactor: rewrite triangulation using Triangle library (constrained Delaunay + quality refinement)
- Replace scipy.spatial.Delaunay with Shewchuk's Triangle (PSLG-based)
- Boundary conforming: PSLG constrains edges along inset contour + hole keepout rings
- Quality: min angle 25°, no slivers
- Per-triangle density-based area refinement (s_min=20, s_max=80)
- Clean boundary plotting (no more crooked v1 line resampling)
- Triangulation plot shows inset contour (red dashed) + keepout rings (orange dashed)
- Add sandbox2_brain_input.json geometry file
2026-02-17 17:14:11 +00:00
1a14f7c420 fix: v1 boundary handling — inset vertices, 3-point hole keepouts, boundary-aligned triangles, smooth plotting
- Triangulation: force inset boundary corner vertices for v1 geometry (Shapely buffer)
- Hole keepouts: 3 evenly-spaced points per circular hole (not dense polyline)
- Boundary layer: seed points derived from inset polygon for proper alignment
- Triangle filtering: full polygon coverage check against inset-valid region
- Plotting: uniform polyline resampling for smooth v1 boundaries, analytic circle rendering
- Verified: 0 bad triangles on both Quicksat sandboxes
2026-02-17 16:24:27 +00:00
139a355ef3 Add v2 geometry normalization and boundary-layer seed points 2026-02-17 14:37:13 +00:00
251 changed files with 174222 additions and 5750 deletions

View File

@@ -78,7 +78,10 @@
"Skill(ralph-loop:ralph-loop)",
"Skill(ralph-loop:ralph-loop:*)",
"mcp__Claude_in_Chrome__computer",
"mcp__Claude_in_Chrome__navigate"
"mcp__Claude_in_Chrome__navigate",
"Bash(/c/Users/antoi/anaconda3/envs/atomizer/python.exe -m pip install:*)",
"Bash(/c/Users/antoi/anaconda3/envs/atomizer/python.exe tests/compare_triangle_vs_gmsh.py)",
"Bash(/c/Users/antoi/anaconda3/envs/atomizer/python.exe:*)"
],
"deny": [],
"ask": []

3
.gitignore vendored
View File

@@ -139,3 +139,6 @@ docs/generated/
# Malformed filenames (Windows path used as filename)
C:*
*.gitmodules
# project-context-sync (auto-generated, local only)
PROJECT_STATE.md

21
.project-context.yml Normal file
View File

@@ -0,0 +1,21 @@
# project-context-sync configuration
# See: https://github.com/clawdbot/skills/project-context-sync
project_context:
# Use AI to generate smart summaries
# true: Rich context with inferred focus and suggestions (uses tokens)
# false: Raw git info only (fast, free)
ai_summary: true
# How many recent commits to show
recent_commits: 5
# Include file change stats in output
include_diff_stats: true
# Sections to include in PROJECT_STATE.md
sections:
- last_commit # Always included
- recent_changes # Recent commit list
- current_focus # AI-generated (requires ai_summary: true)
- suggested_next # AI-generated (requires ai_summary: true)

5
hq/.gitignore vendored
View File

@@ -4,3 +4,8 @@ job-queue/inbox/*
job-queue/outbox/*
job-queue/archive/*
!job-queue/*/.gitkeep
discord-bridge/node_modules/
instances/*/browser/
bridge/node_modules/
node_modules/

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@@ -1,44 +0,0 @@
#!/usr/bin/env bash
# Atomizer Cluster Management Script
set -euo pipefail
AGENTS=(manager tech-lead secretary auditor optimizer study-builder nx-expert webster)
SERVICE_PREFIX="openclaw-atomizer@"
case "${1:-help}" in
start)
for a in "${AGENTS[@]}"; do
echo "Starting ${a}..."
systemctl --user enable --now "${SERVICE_PREFIX}${a}.service"
done
echo "All agents started."
;;
stop)
for a in "${AGENTS[@]}"; do
echo "Stopping ${a}..."
systemctl --user stop "${SERVICE_PREFIX}${a}.service" || true
done
echo "All agents stopped."
;;
restart)
for a in "${AGENTS[@]}"; do
echo "Restarting ${a}..."
systemctl --user restart "${SERVICE_PREFIX}${a}.service"
done
echo "All agents restarted."
;;
status)
for a in "${AGENTS[@]}"; do
systemctl --user status "${SERVICE_PREFIX}${a}.service" --no-pager -l 2>/dev/null | head -3
echo "---"
done
;;
logs)
agent="${2:-manager}"
journalctl --user -u "${SERVICE_PREFIX}${agent}.service" -f --no-pager
;;
*)
echo "Usage: $0 {start|stop|restart|status|logs [agent]}"
exit 1
;;
esac

View File

@@ -1,11 +0,0 @@
{
"schemaVersion": "1.0",
"runId": "orch-1771176737-8c14d6cf",
"agent": "webster",
"status": "failed",
"result": null,
"artifacts": [],
"confidence": "low",
"notes": "web_search tool failed due to a missing Brave API key. I am unable to access the internet to find the density of Zerodur.",
"timestamp": "2026-02-15T12:32:00-05:00"
}

View File

@@ -1,11 +0,0 @@
{
"schemaVersion": "1.0",
"runId": "orch-1771176838-52dc0c1b",
"agent": "webster",
"status": "blocked",
"result": "Could not retrieve CTE and density for Clearceram-Z HS.",
"artifacts": [],
"confidence": "low",
"notes": "The primary data source appears to be a PDF file (https://oharacorp.com/wp-content/uploads/2022/11/clearerem.pdf). My current tools are unable to parse PDF files to extract the required data. I was also unable to find the data in a standard HTML or text format.",
"timestamp": "2026-02-15T12:35:45-05:00"
}

View File

@@ -0,0 +1,17 @@
# MODEL-CHANGES-NEEDED
Do **not** apply automatically. These are required edits for gateway `config.patch`.
## Required model assignment changes
1. **optimizer**
- Current: `anthropic/claude-opus-4-6`
- Change to: `anthropic/claude-sonnet-4-5`
2. **secretary**
- Current: `anthropic/claude-sonnet-4-5`
- Change to: `google/gemini-2.5-flash`
## Rationale
- Optimizer workload is mostly structured optimization planning/execution, better cost-efficiency on Sonnet 4.5.
- Secretary workload is summarization/admin condensation, best fit and lowest cost on Flash.

46
hq/hq/taskboard.json Normal file
View File

@@ -0,0 +1,46 @@
{
"board": "atomizer-hq",
"version": "1.0",
"tasks": [
{
"id": "ATZ-001",
"title": "Example: Material Trade Study for M2",
"description": "Compare Zerodur Class 0 vs CCZ HS for M2/M3 mirrors",
"status": "backlog",
"priority": "high",
"assignee": null,
"project": "gigabit-m1",
"created": "2026-02-18T20:00:00Z",
"updated": "2026-02-18T20:00:00Z",
"context": "M2/M3 mirrors need CTE < 0.01 ppm/K at operating temp. Budget constraint.",
"subtasks": [
{
"id": "s1",
"title": "Research material properties",
"assignee": "webster",
"done": false
},
{
"id": "s2",
"title": "Technical evaluation",
"assignee": "tech-lead",
"done": false
},
{
"id": "s3",
"title": "Quality review",
"assignee": "auditor",
"done": false
},
{
"id": "s4",
"title": "Summary report",
"assignee": "secretary",
"done": false
}
],
"deliverables": [],
"comments": []
}
]
}

View File

@@ -1,4 +0,0 @@
{
"version": 1,
"jobs": []
}

View File

@@ -1,4 +0,0 @@
{
"version": 1,
"jobs": []
}

View File

@@ -1,34 +0,0 @@
{
"8c1e44393c844822a8a5129b69e12c9ebdd8bf93a51eebbfa0c5405c673130d0": {
"deviceId": "8c1e44393c844822a8a5129b69e12c9ebdd8bf93a51eebbfa0c5405c673130d0",
"publicKey": "fejk4Um31-XMqj58QkHSPd4DepfwG1RfvAgc0pcioe8",
"platform": "linux",
"clientId": "gateway-client",
"clientMode": "backend",
"role": "operator",
"roles": [
"operator"
],
"scopes": [
"operator.admin",
"operator.approvals",
"operator.pairing"
],
"tokens": {
"operator": {
"token": "266c2f244dc4453cb621f7fe9b04c82b",
"role": "operator",
"scopes": [
"operator.admin",
"operator.approvals",
"operator.pairing"
],
"createdAtMs": 1771083769964,
"lastUsedAtMs": 1771252499109
}
},
"createdAtMs": 1771083769964,
"approvedAtMs": 1771083769964,
"displayName": "agent"
}
}

View File

@@ -1 +0,0 @@
{}

View File

@@ -1 +0,0 @@
OPENCLAW_GATEWAY_PORT=18812

View File

@@ -1,16 +0,0 @@
{
"version": 1,
"deviceId": "8c1e44393c844822a8a5129b69e12c9ebdd8bf93a51eebbfa0c5405c673130d0",
"tokens": {
"operator": {
"token": "266c2f244dc4453cb621f7fe9b04c82b",
"role": "operator",
"scopes": [
"operator.admin",
"operator.approvals",
"operator.pairing"
],
"updatedAtMs": 1771252499124
}
}
}

View File

@@ -1,7 +0,0 @@
{
"version": 1,
"deviceId": "8c1e44393c844822a8a5129b69e12c9ebdd8bf93a51eebbfa0c5405c673130d0",
"publicKeyPem": "-----BEGIN PUBLIC KEY-----\nMCowBQYDK2VwAyEAfejk4Um31+XMqj58QkHSPd4DepfwG1RfvAgc0pcioe8=\n-----END PUBLIC KEY-----\n",
"privateKeyPem": "-----BEGIN PRIVATE KEY-----\nMC4CAQAwBQYDK2VwBCIEIP4KzGQVG2NLIN0Sn8qdfpJUP/+z11Su0LNLvqcucqdc\n-----END PRIVATE KEY-----\n",
"createdAtMs": 1771083769933
}

View File

@@ -1,196 +0,0 @@
{
"logging": {
"level": "trace",
"file": "/tmp/openclaw/atomizer-auditor.log",
"redactSensitive": "tools"
},
"agents": {
"defaults": {
"model": {
"primary": "google/gemini-2.5-pro"
},
"skipBootstrap": true,
"bootstrapMaxChars": 25000,
"userTimezone": "America/Toronto",
"typingIntervalSeconds": 4,
"typingMode": "instant",
"maxConcurrent": 4,
"subagents": {
"maxConcurrent": 4
},
"compaction": {
"mode": "safeguard",
"memoryFlush": {
"enabled": true
}
},
\"contextPruning\": {\n \"mode\": \"cache-ttl\",\n \"ttl\": \"15m\",\n \"keepLastAssistants\": 3,\n \"softTrimRatio\": 0.6,\n \"hardClearRatio\": 0.8,\n \"minPrunableToolChars\": 2000\n },\n \"heartbeat\": {\n \"every\": \"30m\",\n \"target\": \"discord\"\n }\n },\n \"list\": [\n {\n \"id\": \"main\",\n \"default\": true,\n \"name\": \"Atomizer Auditor\",\n \"workspace\": \"/home/papa/atomizer/workspaces/auditor\",\n \"model\": \"google/gemini-2.5-pro\",\n \"identity\": {\n \"name\": \"Atomizer Auditor\",\n \"theme\": \"Quality gatekeeper. Skeptical, thorough, direct. Reviews every deliverable. Has veto power.\",\n \"emoji\": \"\\ud83d\\udd0d\"\n },\n \"groupChat\": {\n \"mentionPatterns\": [\n \"@auditor\",\n \"@Auditor\",\n \"\\ud83d\\udd0d\"\n ]\n },\n \"subagents\": {\n \"allowAgents\": [\n \"*\"\n ]\n }\n }\n ]\n },\n \"messages\": {\n \"responsePrefix\": \"[{identity.name}] \",\n \"queue\": {\n \"mode\": \"collect\",\n \"debounceMs\": 2000,\n \"cap\": 20\n },\n \"inbound\": {\n \"debounceMs\": 3000\n },\n \"ackReaction\": \"\",\n \"ackReactionScope\": \"group-mentions\"\n },\n \"commands\": {\n \"native\": \"auto\",\n \"nativeSkills\": \"auto\"\n },\n \"hooks\": {\n \"enabled\": true,\n \"token\": \"31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1\",\n \"allowRequestSessionKey\": true,\n \"allowedSessionKeyPrefixes\": [\n \"agent:\",\n \"hook:\"\n ],\n \"allowedAgentIds\": [\n \"*\"\n ]\n },\n \"channels\": {\n \"discord\": {\n \"enabled\": true,\n \"commands\": {\n \"native\": false\n },\n \"groupPolicy\": \"allowlist\",\n \"dm\": {\n \"enabled\": true,\n \"policy\": \"allowlist\",\n \"allowFrom\": [\n \"user:719982779793932419\"\n ]\n },\n \"guilds\": {\n \"1471858733452890132\": {\n \"requireMention\": true,\n \"users\": [\n \"user:719982779793932419\"\n ],\n \"channels\": {\n \"feed\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"technical\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"rnd\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"lessons-learned\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"knowledge-base\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"it\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"proj-hydrotech-beam\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"dm-auditor\": {\n \"allow\": true,\n \"requireMention\": false\n },\n \"hq\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"reports\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"announcements\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"agent-logs\": {\n \"allow\": true,\n \"requireMention\": true\n }\n }\n }\n },\n \"token\": \"${DISCORD_TOKEN_AUDITOR}\",\n \"allowBots\": true\n }\n },\n \"gateway\": {\n \"port\": 18812,\n \"mode\": \"local\",\n \"bind\": \"loopback\",\n \"auth\": {\n \"token\": \"31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1\"\n },\n \"remote\": {\n \"url\": \"ws://127.0.0.1:18812\",\n \"token\": \"31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1\"\n }\n },\n \"skills\": {\n \"load\": {\n \"extraDirs\": [\n \"/home/papa/atomizer/skills\"\n ]\n }\n },\n \"plugins\": {\n \"entries\": {\n \"discord\": {\n \"enabled\": true\n }\n }\n },\n \"talk\": {\n \"apiKey\": \"sk_d8aa4795f7124ed052fa7de66a28a7739b8bb82789c2f398\"\n }\n}
"mode": "cache-ttl",
"ttl": "15m",
"keepLastAssistants": 3,
"softTrimRatio": 0.6,
"hardClearRatio": 0.8,
"minPrunableToolChars": 2000
}
},
"list": [
{
"id": "main",
"default": true,
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View File

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OPENCLAW_GATEWAY_PORT=18816

View File

@@ -1,16 +0,0 @@
{
"version": 1,
"deviceId": "b37d0899686161eea4515f7c59d36f875de30b80e30236119067655238d920fd",
"tokens": {
"operator": {
"token": "d3ed19d5f143466db08fc47693ef1121",
"role": "operator",
"scopes": [
"operator.admin",
"operator.approvals",
"operator.pairing"
],
"updatedAtMs": 1771249229113
}
}
}

View File

@@ -1,7 +0,0 @@
{
"version": 1,
"deviceId": "b37d0899686161eea4515f7c59d36f875de30b80e30236119067655238d920fd",
"publicKeyPem": "-----BEGIN PUBLIC KEY-----\nMCowBQYDK2VwAyEAvBuKXBCdvM0VJ1yg9Mydmh7tQzEjic9L1GwhQ/w1Rrg=\n-----END PUBLIC KEY-----\n",
"privateKeyPem": "-----BEGIN PRIVATE KEY-----\nMC4CAQAwBQYDK2VwBCIEIOC89NY6pTuwDTSfHzB0okQdmEwSk3YKm51eYiBh+Jo0\n-----END PRIVATE KEY-----\n",
"createdAtMs": 1771083768008
}

View File

@@ -1,196 +0,0 @@
{
"logging": {
"level": "trace",
"file": "/tmp/openclaw/atomizer-optimizer.log",
"redactSensitive": "tools"
},
"agents": {
"defaults": {
"model": {
"primary": "anthropic/claude-sonnet-4-5"
},
"skipBootstrap": true,
"bootstrapMaxChars": 25000,
"userTimezone": "America/Toronto",
"typingIntervalSeconds": 4,
"typingMode": "instant",
"maxConcurrent": 4,
"subagents": {
"maxConcurrent": 4
},
"compaction": {
"mode": "safeguard",
"memoryFlush": {
"enabled": true
}
},
\"contextPruning\": {\n \"mode\": \"cache-ttl\",\n \"ttl\": \"15m\",\n \"keepLastAssistants\": 3,\n \"softTrimRatio\": 0.6,\n \"hardClearRatio\": 0.8,\n \"minPrunableToolChars\": 2000\n },\n \"heartbeat\": {\n \"every\": \"30m\",\n \"target\": \"discord\"\n }\n },\n \"list\": [\n {\n \"id\": \"main\",\n \"default\": true,\n \"name\": \"Atomizer Optimizer\",\n \"workspace\": \"/home/papa/atomizer/workspaces/optimizer\",\n \"model\": \"anthropic/claude-sonnet-4-5\",\n \"identity\": {\n \"name\": \"Atomizer Optimizer\",\n \"theme\": \"Optimization algorithm specialist. Data-driven, strategic, skeptical of too-good results.\",\n \"emoji\": \"\\u26a1\"\n },\n \"groupChat\": {\n \"mentionPatterns\": [\n \"@optimizer\",\n \"@Optimizer\",\n \"\\u26a1\"\n ]\n },\n \"subagents\": {\n \"allowAgents\": [\n \"*\"\n ]\n }\n }\n ]\n },\n \"messages\": {\n \"responsePrefix\": \"[{identity.name}] \",\n \"queue\": {\n \"mode\": \"collect\",\n \"debounceMs\": 2000,\n \"cap\": 20\n },\n \"inbound\": {\n \"debounceMs\": 3000\n },\n \"ackReaction\": \"\",\n \"ackReactionScope\": \"group-mentions\"\n },\n \"commands\": {\n \"native\": \"auto\",\n \"nativeSkills\": \"auto\"\n },\n \"hooks\": {\n \"enabled\": true,\n \"token\": \"31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1\",\n \"allowRequestSessionKey\": true,\n \"allowedSessionKeyPrefixes\": [\n \"agent:\",\n \"hook:\"\n ],\n \"allowedAgentIds\": [\n \"*\"\n ]\n },\n \"channels\": {\n \"discord\": {\n \"enabled\": true,\n \"commands\": {\n \"native\": false\n },\n \"groupPolicy\": \"allowlist\",\n \"dm\": {\n \"enabled\": true,\n \"policy\": \"allowlist\",\n \"allowFrom\": [\n \"user:719982779793932419\"\n ]\n },\n \"guilds\": {\n \"1471858733452890132\": {\n \"requireMention\": true,\n \"users\": [\n \"user:719982779793932419\"\n ],\n \"channels\": {\n \"feed\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"technical\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"rnd\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"lessons-learned\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"knowledge-base\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"it\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"proj-hydrotech-beam\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"dm-optimizer\": {\n \"allow\": true,\n \"requireMention\": false\n },\n \"hq\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"reports\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"announcements\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"agent-logs\": {\n \"allow\": true,\n \"requireMention\": true\n }\n }\n }\n },\n \"token\": \"${DISCORD_TOKEN_OPTIMIZER}\",\n \"allowBots\": true\n }\n },\n \"gateway\": {\n \"port\": 18816,\n \"mode\": \"local\",\n \"bind\": \"loopback\",\n \"auth\": {\n \"token\": \"31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1\"\n },\n \"remote\": {\n \"url\": \"ws://127.0.0.1:18816\",\n \"token\": \"31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1\"\n }\n },\n \"skills\": {\n \"load\": {\n \"extraDirs\": [\n \"/home/papa/atomizer/skills\"\n ]\n }\n },\n \"plugins\": {\n \"entries\": {\n \"discord\": {\n \"enabled\": true\n }\n }\n },\n \"talk\": {\n \"apiKey\": \"sk_d8aa4795f7124ed052fa7de66a28a7739b8bb82789c2f398\"\n }\n}
"mode": "cache-ttl",
"ttl": "15m",
"keepLastAssistants": 3,
"softTrimRatio": 0.6,
"hardClearRatio": 0.8,
"minPrunableToolChars": 2000
}
},
"list": [
{
"id": "main",
"default": true,
"name": "Atomizer Optimizer",
"workspace": "/home/papa/atomizer/workspaces/optimizer",
"model": "anthropic/claude-sonnet-4-5",
"identity": {
"name": "Atomizer Optimizer",
"theme": "Optimization algorithm specialist. Data-driven, strategic, skeptical of too-good results.",
"emoji": "\u26a1"
},
"groupChat": {
"mentionPatterns": [
"@optimizer",
"@Optimizer",
"\u26a1"
]
},
"subagents": {
"allowAgents": [
"*"
]
}
}
]
},
"messages": {
"responsePrefix": "[{identity.name}] ",
"queue": {
"mode": "collect",
"debounceMs": 2000,
"cap": 20
},
"inbound": {
"debounceMs": 3000
},
"ackReaction": "",
"ackReactionScope": "group-mentions"
},
"commands": {
"native": "auto",
"nativeSkills": "auto"
},
"hooks": {
"enabled": true,
"token": "31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1",
"allowRequestSessionKey": true,
"allowedSessionKeyPrefixes": [
"agent:",
"hook:"
],
"allowedAgentIds": [
"*"
]
},
"channels": {
"discord": {
"enabled": true,
"commands": {
"native": false
},
"groupPolicy": "allowlist",
"dm": {
"enabled": true,
"policy": "allowlist",
"allowFrom": [
"user:719982779793932419"
]
},
"guilds": {
"1471858733452890132": {
"requireMention": true,
"users": [
"user:719982779793932419"
],
"channels": {
"feed": {
"allow": true,
"requireMention": true
},
"technical": {
"allow": true,
"requireMention": true
},
"rnd": {
"allow": true,
"requireMention": true
},
"lessons-learned": {
"allow": true,
"requireMention": true
},
"knowledge-base": {
"allow": true,
"requireMention": true
},
"it": {
"allow": true,
"requireMention": true
},
"proj-hydrotech-beam": {
"allow": true,
"requireMention": true
},
"dm-optimizer": {
"allow": true,
"requireMention": false
},
"hq": {
"allow": true,
"requireMention": true
},
"reports": {
"allow": true,
"requireMention": true
},
"announcements": {
"allow": true,
"requireMention": true
},
"agent-logs": {
"allow": true,
"requireMention": true
}
}
}
},
"token": "${DISCORD_TOKEN_OPTIMIZER}"
}
},
"gateway": {
"port": 18816,
"mode": "local",
"bind": "loopback",
"auth": {
"token": "31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1"
},
"remote": {
"url": "ws://127.0.0.1:18816",
"token": "31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1"
}
},
"skills": {
"load": {
"extraDirs": [
"/home/papa/atomizer/skills"
]
}
},
"plugins": {
"entries": {
"discord": {
"enabled": true
}
}
},
"talk": {
"apiKey": "sk_d8aa4795f7124ed052fa7de66a28a7739b8bb82789c2f398"
}
}

View File

@@ -1,5 +0,0 @@
{
"lastCheckedAt": "2026-02-16T17:31:47.030Z",
"lastNotifiedVersion": "2026.2.15",
"lastNotifiedTag": "latest"
}

View File

@@ -1,4 +0,0 @@
{
"version": 1,
"jobs": []
}

View File

@@ -1,4 +0,0 @@
{
"version": 1,
"jobs": []
}

View File

@@ -1,33 +0,0 @@
{
"5b8eb09786f8b9cd617a1f96b42fb479d73c6fc421b168aa47124a4d74595dc3": {
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"publicKey": "lNlX0xhSVQGvufMKYuLx1C2Ed0lS9uK22f6N4MmOoPU",
"platform": "linux",
"clientId": "cli",
"clientMode": "cli",
"role": "operator",
"roles": [
"operator"
],
"scopes": [
"operator.admin",
"operator.approvals",
"operator.pairing"
],
"tokens": {
"operator": {
"token": "b6a85b3c2543407d846acb863d3d0545",
"role": "operator",
"scopes": [
"operator.admin",
"operator.approvals",
"operator.pairing"
],
"createdAtMs": 1771113526822,
"lastUsedAtMs": 1771292615826
}
},
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"approvedAtMs": 1771113526821
}
}

View File

@@ -1 +0,0 @@
{}

View File

@@ -1 +0,0 @@
OPENCLAW_GATEWAY_PORT=18808

View File

@@ -1,16 +0,0 @@
{
"version": 1,
"deviceId": "5b8eb09786f8b9cd617a1f96b42fb479d73c6fc421b168aa47124a4d74595dc3",
"tokens": {
"operator": {
"token": "b6a85b3c2543407d846acb863d3d0545",
"role": "operator",
"scopes": [
"operator.admin",
"operator.approvals",
"operator.pairing"
],
"updatedAtMs": 1771292615838
}
}
}

View File

@@ -1,7 +0,0 @@
{
"version": 1,
"deviceId": "5b8eb09786f8b9cd617a1f96b42fb479d73c6fc421b168aa47124a4d74595dc3",
"publicKeyPem": "-----BEGIN PUBLIC KEY-----\nMCowBQYDK2VwAyEAlNlX0xhSVQGvufMKYuLx1C2Ed0lS9uK22f6N4MmOoPU=\n-----END PUBLIC KEY-----\n",
"privateKeyPem": "-----BEGIN PRIVATE KEY-----\nMC4CAQAwBQYDK2VwBCIEIBKcz+McFIShhev0zkU/2LDwcn76MtHqmA4dKZNXX4/d\n-----END PRIVATE KEY-----\n",
"createdAtMs": 1771113526792
}

View File

@@ -1,198 +0,0 @@
{
"logging": {
"level": "trace",
"file": "/tmp/openclaw/atomizer-secretary.log",
"redactSensitive": "tools"
},
"agents": {
"defaults": {
"model": {
"primary": "google/gemini-2.5-pro"
},
"skipBootstrap": true,
"bootstrapMaxChars": 25000,
"userTimezone": "America/Toronto",
"typingIntervalSeconds": 4,
"typingMode": "instant",
"maxConcurrent": 4,
"subagents": {
"maxConcurrent": 4
},
"compaction": {
"mode": "safeguard",
"memoryFlush": {
"enabled": true
}
},
\"contextPruning\": {\n \"mode\": \"cache-ttl\",\n \"ttl\": \"15m\",\n \"keepLastAssistants\": 3,\n \"softTrimRatio\": 0.6,\n \"hardClearRatio\": 0.8,\n \"minPrunableToolChars\": 2000\n },\n \"heartbeat\": {\n \"every\": \"30m\",\n \"target\": \"discord\"\n }\n },\n \"list\": [\n {\n \"id\": \"main\",\n \"default\": true,\n \"name\": \"Atomizer Secretary\",\n \"workspace\": \"/home/papa/atomizer/workspaces/secretary\",\n \"model\": \"google/gemini-2.5-pro\",\n \"identity\": {\n \"name\": \"Atomizer Secretary\",\n \"theme\": \"Executive assistant. Filters noise, summarizes, escalates what matters. Organized and proactive.\",\n \"emoji\": \"\\ud83d\\udccb\"\n },\n \"groupChat\": {\n \"mentionPatterns\": [\n \"@secretary\",\n \"@Secretary\",\n \"\\ud83d\\udccb\"\n ]\n },\n \"subagents\": {\n \"allowAgents\": [\n \"*\"\n ]\n }\n }\n ]\n },\n \"messages\": {\n \"responsePrefix\": \"[{identity.name}] \",\n \"queue\": {\n \"mode\": \"collect\",\n \"debounceMs\": 2000,\n \"cap\": 20\n },\n \"inbound\": {\n \"debounceMs\": 3000\n },\n \"ackReaction\": \"\",\n \"ackReactionScope\": \"group-mentions\"\n },\n \"commands\": {\n \"native\": \"auto\",\n \"nativeSkills\": \"auto\"\n },\n \"hooks\": {\n \"enabled\": true,\n \"token\": \"31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1\",\n \"allowRequestSessionKey\": true,\n \"allowedSessionKeyPrefixes\": [\n \"agent:\",\n \"hook:\"\n ],\n \"allowedAgentIds\": [\n \"*\"\n ]\n },\n \"channels\": {\n \"discord\": {\n \"enabled\": true,\n \"commands\": {\n \"native\": false\n },\n \"groupPolicy\": \"allowlist\",\n \"dm\": {\n \"enabled\": true,\n \"policy\": \"allowlist\",\n \"allowFrom\": [\n \"user:719982779793932419\"\n ]\n },\n \"guilds\": {\n \"1471858733452890132\": {\n \"requireMention\": true,\n \"users\": [\n \"user:719982779793932419\"\n ],\n \"channels\": {\n \"feed\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"technical\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"rnd\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"lessons-learned\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"knowledge-base\": {\n \"allow\": true,\n \"requireMention\": true\n },\
\"it\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"proj-hydrotech-beam\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"dm-secretary\": {\n \"allow\": true,\n \"requireMention\": false\n },\n \"hq\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"reports\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"announcements\": {\n \"allow\": true,\n \"requireMention\": true\n },\n \"agent-logs\": {\n \"allow\": true,\n \"requireMention\": true\n }\n }\n }\n },\n \"token\": \"${DISCORD_TOKEN_SECRETARY}\",\n \"allowBots\": true\n }\n },\n \"gateway\": {\n \"port\": 18808,\n \"mode\": \"local\",\n \"bind\": \"loopback\",\n \"auth\": {\n \"token\": \"31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1\"\n },\n \"remote\": {\n \"url\": \"ws://127.0.0.1:18808\",\n \"token\": \"31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1\"\n }\n },\n \"skills\": {\n \"load\": {\n \"extraDirs\": [\n \"/home/papa/atomizer/skills\"\n ]\n }\n },\n \"plugins\": {\n \"entries\": {\n \"discord\": {\n \"enabled\": true\n }\n }\n },\n \"talk\": {\n \"apiKey\": \"sk_d8aa4795f7124ed052fa7de66a28a7739b8bb82789c2f398\"\n }\n}
"mode": "cache-ttl",
"ttl": "15m",
"keepLastAssistants": 3,
"softTrimRatio": 0.6,
"hardClearRatio": 0.8,
"minPrunableToolChars": 2000
}
},
"list": [
{
"id": "main",
"default": true,
"name": "Atomizer Secretary",
"workspace": "/home/papa/atomizer/workspaces/secretary",
"model": "google/gemini-2.5-pro",
"identity": {
"name": "Atomizer Secretary",
"theme": "Executive assistant. Filters noise, summarizes, escalates what matters. Organized and proactive.",
"emoji": "\ud83d\udccb"
},
"groupChat": {
"mentionPatterns": [
"@secretary",
"@Secretary",
"\ud83d\udccb"
]
},
"subagents": {
"allowAgents": [
"*"
]
}
}
]
},
"messages": {
"responsePrefix": "[{identity.name}] ",
"queue": {
"mode": "collect",
"debounceMs": 2000,
"cap": 20
},
"inbound": {
"debounceMs": 3000
},
"ackReaction": "",
"ackReactionScope": "group-mentions"
},
"commands": {
"native": "auto",
"nativeSkills": "auto"
},
"hooks": {
"enabled": true,
"token": "31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1",
"allowRequestSessionKey": true,
"allowedSessionKeyPrefixes": [
"agent:",
"hook:"
],
"allowedAgentIds": [
"*"
]
},
"channels": {
"discord": {
"enabled": true,
"commands": {
"native": false
},
"groupPolicy": "allowlist",
"dm": {
"enabled": true,
"policy": "allowlist",
"allowFrom": [
"user:719982779793932419"
]
},
"guilds": {
"1471858733452890132": {
"requireMention": true,
"users": [
"user:719982779793932419"
],
"channels": {
"feed": {
"allow": true,
"requireMention": true
},
"technical": {
"allow": true,
"requireMention": true
},
"rnd": {
"allow": true,
"requireMention": true
},
"lessons-learned": {
"allow": true,
"requireMention": true
},
"knowledge-base": {
"allow": true,
"requireMention": true
},
"it": {
"allow": true,
"requireMention": true
},
"proj-hydrotech-beam": {
"allow": true,
"requireMention": true
},
"dm-secretary": {
"allow": true,
"requireMention": false
},
"hq": {
"allow": true,
"requireMention": true
},
"reports": {
"allow": true,
"requireMention": true
},
"announcements": {
"allow": true,
"requireMention": true
},
"agent-logs": {
"allow": true,
"requireMention": true
}
}
}
},
"token": "${DISCORD_TOKEN_SECRETARY}",
"allowBots": true
}
},
"gateway": {
"port": 18808,
"mode": "local",
"bind": "loopback",
"auth": {
"token": "31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1"
},
"remote": {
"url": "ws://127.0.0.1:18808",
"token": "31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1"
}
},
"skills": {
"load": {
"extraDirs": [
"/home/papa/atomizer/skills"
]
}
},
"plugins": {
"entries": {
"discord": {
"enabled": true
}
}
},
"talk": {
"apiKey": "sk_d8aa4795f7124ed052fa7de66a28a7739b8bb82789c2f398"
}
}

View File

@@ -1,4 +0,0 @@
{
"version": 2,
"runs": {}
}

View File

@@ -1,5 +0,0 @@
{
"lastCheckedAt": "2026-02-16T23:34:54.914Z",
"lastNotifiedVersion": "2026.2.15",
"lastNotifiedTag": "latest"
}

View File

@@ -1,4 +0,0 @@
{
"version": 1,
"jobs": []
}

View File

@@ -1,4 +0,0 @@
{
"version": 1,
"jobs": []
}

View File

@@ -1,33 +0,0 @@
{
"433b7aba11bf3243e9285b5a1cad3000206cda35763015596b4f753d47d8caa9": {
"deviceId": "433b7aba11bf3243e9285b5a1cad3000206cda35763015596b4f753d47d8caa9",
"publicKey": "B3KZQ84BJ7Kr8aJ_1NYsJUASfd95pfvxe3HMBnGYDnQ",
"platform": "linux",
"clientId": "cli",
"clientMode": "cli",
"role": "operator",
"roles": [
"operator"
],
"scopes": [
"operator.admin",
"operator.approvals",
"operator.pairing"
],
"tokens": {
"operator": {
"token": "7e2455df825246b7b8f1832bbd610988",
"role": "operator",
"scopes": [
"operator.admin",
"operator.approvals",
"operator.pairing"
],
"createdAtMs": 1771083773436,
"lastUsedAtMs": 1771249353247
}
},
"createdAtMs": 1771083773436,
"approvedAtMs": 1771083773436
}
}

View File

@@ -1 +0,0 @@
{}

View File

@@ -1 +0,0 @@
OPENCLAW_GATEWAY_PORT=18820

View File

@@ -1,16 +0,0 @@
{
"version": 1,
"deviceId": "433b7aba11bf3243e9285b5a1cad3000206cda35763015596b4f753d47d8caa9",
"tokens": {
"operator": {
"token": "7e2455df825246b7b8f1832bbd610988",
"role": "operator",
"scopes": [
"operator.admin",
"operator.approvals",
"operator.pairing"
],
"updatedAtMs": 1771249353264
}
}
}

View File

@@ -1,7 +0,0 @@
{
"version": 1,
"deviceId": "433b7aba11bf3243e9285b5a1cad3000206cda35763015596b4f753d47d8caa9",
"publicKeyPem": "-----BEGIN PUBLIC KEY-----\nMCowBQYDK2VwAyEAB3KZQ84BJ7Kr8aJ/1NYsJUASfd95pfvxe3HMBnGYDnQ=\n-----END PUBLIC KEY-----\n",
"privateKeyPem": "-----BEGIN PRIVATE KEY-----\nMC4CAQAwBQYDK2VwBCIEIM3mdAQ/QFl9zqVyc2Lg/F8ZEJJc4219O2+0S6ynB+hB\n-----END PRIVATE KEY-----\n",
"createdAtMs": 1771083773401
}

View File

@@ -1,196 +0,0 @@
{
"logging": {
"level": "trace",
"file": "/tmp/openclaw/atomizer-study-builder.log",
"redactSensitive": "tools"
},
"agents": {
"defaults": {
"model": {
"primary": "anthropic/claude-sonnet-4-5"
},
"skipBootstrap": true,
"bootstrapMaxChars": 25000,
"userTimezone": "America/Toronto",
"typingIntervalSeconds": 4,
"typingMode": "instant",
"maxConcurrent": 4,
"subagents": {
"maxConcurrent": 4
},
"compaction": {
"mode": "safeguard",
"memoryFlush": {
"enabled": true
}
},
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"model": "google/gemini-2.5-pro",
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}
},
"token": "${DISCORD_TOKEN_STUDY_BUILDER}"
}
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"gateway": {
"port": 18820,
"mode": "local",
"bind": "loopback",
"auth": {
"token": "31422bb39bc9e7a4d34f789d8a7cbc582dece8dd170dadd1"
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]
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View File

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View File

@@ -1,4 +0,0 @@
{
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View File

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}

View File

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View File

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{}

View File

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OPENCLAW_GATEWAY_PORT=18804

View File

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}

View File

@@ -1,373 +0,0 @@
{
"logging": {
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"file": "/tmp/openclaw/atomizer-tech-lead.log",
"redactSensitive": "tools"
},
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},
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"bootstrapMaxChars": 25000,
"userTimezone": "America/Toronto",
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"heartbeat": {
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"workspace": "/home/papa/atomizer/workspaces/technical-lead",
"model": "anthropic/claude-opus-4-6",
"identity": {
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"theme": "Deep FEA/optimization expert. Breaks down problems, leads R&D, reviews technical work. Rigorous and thorough.",
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"requireMention": true
}
}
}
},
"token": "${DISCORD_TOKEN_TECH_LEAD}",
"allowBots": true
}
},
"gateway": {
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"mode": "local",
"bind": "loopback",
"auth": {
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},
"token": "${DISCORD_TOKEN_TECH_LEAD}",
"allowBots": true
}
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"gateway": {
"port": 18804,
"mode": "local",
"bind": "loopback",
"auth": {
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}

View File

@@ -1,4 +0,0 @@
{
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"runs": {}
}

View File

@@ -1,5 +0,0 @@
{
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"lastNotifiedTag": "latest"
}

View File

@@ -1 +0,0 @@
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@@ -1 +0,0 @@
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View File

@@ -1,19 +0,0 @@
{
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"exit_type": "Normal",
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}

View File

@@ -1,17 +0,0 @@
{
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}

View File

@@ -1 +0,0 @@
2527432141186001222

View File

@@ -1 +0,0 @@
clawdbot-351069

View File

@@ -1 +0,0 @@
/tmp/com.google.Chrome.GdJr7i/SingletonSocket

View File

@@ -1 +0,0 @@
{"user_experience_metrics.stability.exited_cleanly":false,"variations_crash_streak":1}

View File

@@ -1,4 +0,0 @@
{
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}

View File

@@ -1,4 +0,0 @@
{
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Some files were not shown because too many files have changed in this diff Show More