chore(deps): bump flask-cors from 4.3.1 to 6.0.2#12
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chore(deps): bump flask-cors from 4.3.1 to 6.0.2#12dependabot[bot] wants to merge 587 commits intomainfrom
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- pattern_agents: 6 new agents (nano/micro/small/medium/large/xl) nano/micro→OL1 fast, large/xl→gpt-oss cloud + race strategy Total: 26 hardcoded agents (20 domain + 6 size-based) - mcp_server: dispatch_analytics, dispatch_auto_optimize, dispatch_quick_bench handlers - python_ws: /api/dispatch_engine/analytics + /api/dispatch_engine/auto_optimize endpoints - Tests: 253 pass (+5 new: size agents + analytics) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…8 tests) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- dispatch_auto_improve.py: 4-step cycle (gate tune→self-improve→strategy optimize→benchmark) Verified: 4/4 steps OK, benchmark 5/5 (100%) - Quality scoring tests: 7 new tests (structure, relevance, hallucination, capping) - UTF-8 encoding fix for Windows cp1252 - Tests: 260 pass total Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…e + candidates
- pattern_agents: classify_with_confidence() returns {pattern, confidence, candidates}
exact word match = 2.0, substring = 1.0, heuristic fallbacks with confidence levels
classify() unchanged (backward compatible, calls classify_with_confidence internally)
- mcp_server: agent_classify handler enriched with confidence + candidates
- python_ws: /api/agents/classify enriched with confidence scoring
- Tests: 267 pass (+7 new: classifier confidence tests)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- dispatch_engine: in-memory LRU cache (OrderedDict, 200 entries, 5min TTL) _cache_key (MD5 hash pattern+prompt), _cache_get (TTL check), _cache_put (success only) Cache stats exposed in get_stats() (size, hits, enabled, ttl) Skips cache when node_override specified - Tests: 272 pass (+5 new: cache key, put/get, miss on failure, stats) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- grade_optimizer.py: auto-analyze and fix grade components (dispatch/risk/orch) - continuous_improver.py: benchmark->learn->optimize->predict->heal->status loop - orchestrator: +2 tasks (grade_optimize 60min, quick_status 30min) = 16 total - dispatch_quality_tracker: cloud nodes commented (429 rate-limited) - smart_routing_engine: updated default routes for local-only operation Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- resilient_dispatcher.py: retry with exponential backoff + circuit breaker HALF_OPEN state, automatic fallback chain traversal, 3/3 tests pass - latency_monitor.py: real-time latency probes with EMA baselines, Z-score anomaly detection, Telegram alerts on spikes - node_reliability_scorer.py: composite score (uptime/dispatch/latency/quality) M1=#1 (94.4), OL1=#2 (89.6), M2=#3 (89.1), M3=#4 (71.7) - orchestrator: +1 task (latency_monitor 5min) = 18 total tasks Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- adaptive_load_balancer.py: weighted node selection based on load, capacity, reliability; M1=40% M2=35% OL1=25% distribution - test_monitoring_stack.py: 32 integration tests covering resilient dispatcher, latency monitor, reliability scorer, load balancer, grade optimizer, circuit breaker, cross-system integration - All 32/32 tests passing (100%) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- 4 strategies: single (fastest), race (parallel first-wins), consensus (weighted vote), deep (primary+verify) - 13 task types mapped to optimal strategies - ThreadPoolExecutor for parallel dispatch - 3/3 strategy tests passing - Integrated with agent_dispatch_log Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- proactive_healer.py: trend detection + auto-healing (latency/success/ grade/disk/stale baselines), healing history log, Telegram alerts - jarvis_dashboard.py: single-command view of entire cluster state (grade, reliability, circuits, latency, dispatch, risks, orchestrator) compact mode: JARVIS [A] 92.2/100 | 4/4 nodes | dispatch 94% - 392 total scripts in cowork/dev Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- dispatch_cache.py: LRU cache with per-type TTL (simple=5m, math=1h, trading=2m), hash-based keys, case-insensitive, auto-eviction at 500 max entries, hit/miss stats, 6/6 tests passing - Fixed cache_stats table schema conflict (drop+recreate if wrong cols) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…lexity - dynamic_timeout.py: "door metaphor" algorithm — timeout adapts to: prompt complexity, node speed, expected output size, context pressure Simple/M1=5s, Code/M2=70s, Reasoning/M2=180s, 20k tokens=135s - Integrated into resilient_dispatcher + multi_strategy_dispatcher - cluster_warmup.py: startup probe + mini-benchmark + baseline refresh - Synced 17 scripts to github.com/Turbo31150/jarvis-cowork - Fixes "Context size exceeded" by scaling timeouts with context pressure Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Snapshot before moving satellite projects (carV1, TRADING_V2, serveur, lm_studio_system, lienDepart) into turbo/projects/ for unification. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Moved all externally-referenced projects into turbo/projects/: - carV1_data: trading scanners, strategies, utils (8MB extract) - trading_v2: TRADING_V2_PRODUCTION (MCP v3.5, voice, scripts) - serveur: TCP cluster manager (3 machines) - lm_studio_system: FastAPI MCP port 8000 - disk_cleaner: disk cleanup tool - lienDepart: 14 agents SDK - lmstudio_backup: LM Studio configs Updated all path references in config.py, agents.py, cowork_bridge.py, commands_dev.py, commands_pipelines.py, and cowork scripts. API keys redacted for security. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…rectories
- Move 10 docs (ARCHITECTURE.md, DEPLOY.md, etc.) to docs/
- Move 20 launchers/scripts (.bat, .ps1) to launchers/
- Reorganize 95 scripts into scripts/{benchmarks,db,learning,tools,trading_v2}/
- Move 15 test files to tests/
- Archive 6 dead modules to src/_archive/
- Fix 12 broken paths in config.py, systray.py, commands_pipelines.py, etc.
- Remove 3 dead PATHS + 7 dead SCRIPTS from config.py
- Fix etoile.db references (F:/BUREAU/etoile.db → data/etoile.db) in 5 cowork scripts
- Mask exposed Telegram tokens in db_optimizer.py
- Add setup_hardlinks.py for post-clone hardlink recreation
- Add WAL/SHM to .gitignore
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add .githooks/post-checkout and post-merge to run setup_hardlinks.py - Set core.hooksPath to .githooks (versionable, survives git clone) - Add hardlink check to launchers/JARVIS.bat startup sequence After fresh git clone, run: git config core.hooksPath .githooks Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- voice_computer_control.py: 363 voice commands for hands-free Windows/browser/system control - Browser: navigate, search, scroll, click, type, tabs, zoom, fullscreen (via CDP) - Windows: open/close apps, snap, volume, lock, shutdown, clipboard, search - System: CPU, RAM, disk, GPU temp, processes, IP, uptime - Multimedia: play/pause, next/prev, volume - Fuzzy matching for natural French voice input - autonomous_cluster_pipeline.py: 183 tasks across 14 categories - 7 new categories: CRYPTO_ANALYSIS, PYTHON_ADVANCED, DATABASE, NETWORKING, AUTOMATION, AI_ML, DEVOPS_INFRA - Smart routing: M1 fast tasks, M2/M3 deep reasoning, OL1 light - 1000 cycles, adaptive health checks, Telegram reports - Results logged to etoile.db cluster_pipeline_log/cycles tables - night_cluster_tasks.py + night_work_loop.py: overnight cluster work scripts Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…k resilience - Replace subprocess curl with urllib.request (fixes windowless crash) - Exclude OL1 from routing (8% success rate → role: excluded) - Separate cluster_pipeline.db to avoid etoile.db contention - Add --log flag for background file logging - Add DB lock retry with reconnection - Sequential task execution for background reliability - VBS launcher (mode 7) for minimized persistent window - Wire voice_computer_control into src/voice.py pipeline Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…t fix - M1 timeout 60s→180s, M3 timeout 120s→180s, M3 max_tokens 1024→2048 - Fallback to reasoning block when message block is empty (deepseek-r1) - Remove io.TextIOWrapper that caused output duplication - Watchdog launcher for auto-restart - M1 max_tokens 2048→1024 for faster generation Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Security (P0): - Bind 13 services from 0.0.0.0 to 127.0.0.1 (SEC-02) - Fix 3 CRITICAL subprocess injection vulnerabilities: - workflow_engine.py: shlex.quote for variable substitution - win_app_controller.py: reject unknown apps (whitelist only) - win_task_automator.py: command whitelist (schtasks/whoami only) - .gitignore: add *.db-wal, *.db-shm, *.pid patterns - Remove etoile.db from tracking (binary DB) Code quality: - Fix SyntaxWarnings in jarvis_feature_builder.py, smart_launcher.py - 5 new cowork scripts (orchestrator_v3, deep_analysis, strategy, audit, evolution) - 2 new launchers (FULL_CLUSTER, PERPLEXITY_MCP) - New src/mcp_server_sse.py module Documentation: - CLAUDE.md rewritten v12.4 (was severely outdated v10.3) - AUDIT_GLOBAL_20260306.md comprehensive audit report - Updated ARCHITECTURE.md, CLAUDE_MULTI_AGENT.md, plans Config: - OpenClaw: mistral-7b model paths fixed, jobs.json purged 98% - Plugin jarvis-turbo: agents/commands/skills/hooks updated Score: B- (71/100) → B+ (82/100) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…AL/SHM/PID) Remove dynamically-generated files from tracking: - canvas/data/*.json (autolearn runtime) - data/brain_state.json, data/claude_tool_log.jsonl - *.db-shm, *.db-wal, *.pid patterns Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…ost fix Tests (94 new): - test_orchestrator.py: 13 tests (import, build_options, safe_print, mcp_config) - test_commander.py: 43 tests (heuristic classify, thermal throttle, cost estimation) - test_trading.py: 38 tests (signal scoring, position sizing, risk management) Docs updated: - INSTALL.md: Python 3.13, uv, Electron 33, ports section, cluster config - JARVIS_COMPLETE_REFERENCE.md: stats updated (246 modules, 609 handlers, 2241 tests) - COMMANDES_VOCALES.md: voice pipeline, 3895 total vocal entries Fix: - 3 remaining localhost → 127.0.0.1 (cluster_self_healer, gpu_guardian, health_probe_registry) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…mplified - direct-proxy.js: tools injection now whitelist-based (system/auto/web/ia/sec) + keyword detection for tool-related queries - telegram-bot.js: TTS_SCRIPT path fixed to cowork/dev/win_tts.py - config.py: all model slots default to qwen3-8b (M2 offline, no cloud) - dispatch_engine.py: fallback chain simplified to OL1→M1→M3 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…licate pipeline_list - scheduler_cleanup.py: fix undefined db variable → get_connection().commit() (3 occurrences) - scheduler_cleanup.py: wrap final COUNT query in try/except for resilience - cowork_orchestrator.py: fix 3 broken imports (src.lm_client/ollama_handler/gemini_handler → src.tools) - cowork_perplexity_executor.py: fix broken import (src.bridge → src.tools.gemini_query) - mcp_server.py: fix duplicate pipeline_list tool (renamed data pipeline version to data_pipeline_list) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Stripped 3-byte BOM prefix (0xEF 0xBB 0xBF) from: cluster_self_healer, daily_report, event_bus_wiring, gpu_guardian, health_probe_registry, perplexity_bridge, smart_retry, startup_wiring, trading_sentinel Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
… tests) New unit tests with full mocking (no network/DB deps): - test_brain.py, test_circuit_breaker.py, test_cluster_self_healer.py - test_collab_bridge.py, test_daily_report.py, test_desktop_actions.py - test_event_bus_wiring.py, test_exchanges.py, test_gpu_guardian.py - test_health_probe_registry.py, test_logging_config.py, test_metrics_module.py - test_output.py, test_prediction_engine.py, test_scheduler_cleanup.py - test_signal_formatter.py, test_smart_retry.py, test_trading_sentinel.py Raises test coverage from 83% to 91% of src/ modules. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
## 50 skills spécialisés avancés (153→203 total) - 10 domaines: productivité, dev, DB, fichiers, réseau - Multimédia, sécurité, monitoring, cluster IA, automatisation - 1114 triggers, 717 steps au total ## Telegram bot Linux (telegram-bot.js +383 lignes) - 15 nouvelles commandes: /linux_health, /linux_maintenance, etc. - /brain_status, /voice_stats, /improve_status - /profile [name], /predict - Smart notifications push (warning/critical → Telegram auto) - Menu keyboard avec boutons Linux Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
## Routine scheduler (routine_scheduler.py) - 8 routines auto: rapport matin 7h, mode dev 8h, pause midi - Backup vendredi, maintenance dimanche, cluster check 6h - Service systemd jarvis-routine-scheduler actif - Persistance routines.json, protection double exécution ## Apprentissage par renforcement (voice_reinforcement.py) - Feedback implicite: succès +1, échec -0.5, correction -1/+1 - Feedback explicite: "bravo" +2, "c'est nul" -2, "apprends que..." - Scores EMA (alpha=0.15), range 0.0-1.0 - Score < 0.2 = commande désactivée, > 0.8 = fiable - Impact routage via adjust_routing_priority() Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
## Voice analytics dashboard (voice_analytics_dashboard.py)
- 4 graphiques Chart.js (barres, camembert, courbes, timeline)
- API /api/voice_analytics avec métriques temps réel
- Analyse des échecs avec suggestions de correction
- docs/voice_analytics.html (24 Ko, auto-refresh 60s)
## Multi-intent parser (voice_multi_intent.py)
- 5 modes: AND, THEN, OR, DELAY_THEN, PARALLEL
- Parse "ouvre firefox et spotify" → 2 commandes parallèles
- Détection délais "dans 5 minutes ferme tout"
- Résolution références ("ça", "aussi", "pareil")
- 15 commandes multi-intent dans jarvis.db
- Intégré dans voice_router.py
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
## Voice command chaining (voice_command_chain.py) - 46 verbes d'action français, 7 variables contexte - $LAST_RESULT, $LAST_FILE, $LAST_COUNT propagés entre étapes - parse_vocal_chain() détecte auto les enchaînements - 20 commandes chain dans jarvis.db ## Tests benchmark (test_jarvis_benchmark.py) — 30/30 PASS - TestSkillsPerformance: 203 skills, charge <100ms, recherche <10ms - TestDatabasePerformance: 215 cmds, 398 corrections, intégrité OK - TestSystemIntegration: dashboard 200, MCP OK, 10+ services actifs Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
## Rapports quotidiens (daily_report_generator.py) - 10 sections: system, services, cluster, voice, brain, security, perf, notifs, git - HTML interactif + résumé Telegram <4000 chars + JSON - Recommandations automatiques basées sur les données - Planifié à 23h55 dans routine_scheduler ## 100 voice aliases ultra-courts (voice_aliases.py) - "ça va"→diagnostic, "chaud"→GPU, "ram"→mémoire, "net"→réseau - 14 catégories, résolution prioritaire dans voice_router - Persistance voice_aliases.json + 100 entrées dans jarvis.db - CLI: --list, --resolve, --execute, --search ## Voice command chaining (vague 9 partiel déjà commité) ## Tests benchmark 30/30 (vague 9 partiel déjà commité) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
## CI/CD (GitHub Actions + local) - jarvis-ci.yml: lint, tests, security, syntax (6 jobs) - ci_local.sh: pipeline CI en local ## Détection émotion vocale (voice_emotion_enhanced.py) - 5 émotions, adaptation auto des réponses ## FAQ vocale 100 questions (voice_faq.py) - 30 JARVIS + 30 Linux + 20 Cluster + 20 Technique - Intégré avant fallback IA dans voice_router ## Installateur complet (install_jarvis_linux.sh) - 10 étapes, --dry-run, --skip-gpu, idempotent Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
## Voice training system (voice_trainer.py) - Collecte succès/corrections en JSONL - Analyse patterns d'erreur (mots, paires confusion, heures) - Auto-génération corrections (seuil 3+ occurrences) - Export Whisper TSV + Vosk JSONL pour fine-tuning ## Optimisation performances - 5 index DB ajoutés (triggers, category, wrong, timestamp, success) - VACUUM + ANALYZE sur 3 bases - skills.json trié par catégorie (203 skills, 0 doublon) - 4090 fichiers .pyc + 495 __pycache__ nettoyés ## Quick health-check (quick_health.sh) - Vérifie ports, DB, skills, services en 283ms - 14 PASS, résumé coloré Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
## API REST Linux (api_linux_endpoints.py) - 20 endpoints: health, skills, voice, brain, cluster, dominos - Profils, notifications, performance, report, FAQ, stats - Blueprint Flask, format uniforme, filtres par catégorie - register_linux_api(app) pour intégration MCP server ## Documentation API (api_reference.html) - Style Swagger/OpenAPI interactif - "Try it" panel pour tester chaque endpoint - Thème JARVIS sombre, sidebar navigation Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
## Portail dashboard unifié (jarvis_portal.py, port 8089) - 6 KPIs, graphique mega-improve 24h, cluster LEDs, notifications - Service systemd jarvis-portal actif ## Backup automation (backup_automation.py) - Incrémental + DB + configs + git bundle - Rotation 7j/4sem/6mois, timer daily 3h00 - CLI: full, incremental, db, list, status, verify ## Cluster monitor avancé (cluster_monitor_advanced.py) - Polling 30s, 4 noeuds en parallèle (asyncio) - Routing intelligent par type de tâche (code/reasoning/fast) - Alertes: offline, latence, VRAM, modèle manquant - Service systemd actif ## Voice app controller (voice_app_controller.py) - 50 commandes: Firefox, VSCode, Terminal, Spotify, GNOME - 176 triggers, intégré prioritaire dans voice_router - Total routeur: 1218 commandes vocales ## Voice trainer (voice_trainer.py) - Collecte données, analyse erreurs, auto-corrections - Export Whisper TSV + Vosk JSONL ## README.md professionnel - Logo ASCII, architecture, API, raccourcis, troubleshooting - Statistiques complètes, guide installation Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Related to: [Good First Issue] Add API usage examples with curl and Python
Related to: [Good First Issue] Add English translation for README.md
- README 100% Windows (PowerShell, .bat, chemins Windows) - Architecture cluster 3 machines (M1/M2/M3) - 278 modules, 108K lignes, 613 MCP handlers, 8716 tests - 7 agents SDK, DERNI ULTIMATE trading, OpenClaw 96 patterns - System Prompt Windows mis a jour avec chiffres verifies Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add English README translation
Documentation: [Good First Issue] Add English translation for REA
Added comprehensive API usage examples for JARVIS, including curl and Python code snippets for various endpoints.
… dashboard, agents
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Bumps [flask-cors](https://github.com/corydolphin/flask-cors) from 4.3.1 to 6.0.2. - [Release notes](https://github.com/corydolphin/flask-cors/releases) - [Changelog](https://github.com/corydolphin/flask-cors/blob/main/CHANGELOG.md) - [Commits](https://github.com/corydolphin/flask-cors/commits/6.0.2) --- updated-dependencies: - dependency-name: flask-cors dependency-version: 6.0.2 dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com>
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Bumps flask-cors from 4.3.1 to 6.0.2.
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