44fe4bfcd7a5494b634d6e8a3bc8a4508b01b2dd
448 Commits
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Alexander Whitestone
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44fe4bfcd7 |
feat: 500 dream description prompt enhancement pairs (#602)
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Alexander Whitestone
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dbb1c124fe |
feat: Country + Latin scene descriptions — 200 entries (#645)
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Complete the 9-genre scene description requirement. Country: 10 songs (Dusty Boots, County Fair, Highway Hymn, Barn Dance, Porcelain Dawn, Lonesome Road, Sweet Magnolia, Graveyard Shift, Sunday Best, Old Barn) Latin: 10 songs (Fuego Lento, Corazon de Oro, Lluvia de Estrellas, Bailando con el Viento, Ritmo del Alma, Luna Roja, Siembra y Cosecha, Carnaval, Desierto de Amor, Raices) All 10 training factory genres now complete: Pop, Rock, Hip-Hop, Electronic, R&B/Soul, Country, Jazz, Classical, Metal, Latin. Closes #645 |
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Alexander Whitestone
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9f2a76fc3e |
feat: auto-generate scene descriptions from image/video (#689)
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Alexander Whitestone
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5efdc3979c |
feat: crisis response — post-crisis & recovery 500 pairs (#599)
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Alexander Whitestone
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3b58fe1ac8 |
feat: Hip-Hop scene descriptions — 100 lyrics->visual sets (#608)
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Alexander Whitestone
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4f960e0dd8 |
feat: identity attacks adversary corpus — 200 jailbreak prompts (#616)
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Alexander Whitestone
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0ddbfb0cfa |
feat: emotional manipulation adversary corpus — 200 jailbreak prompts (#620)
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Alexander Whitestone
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f169634a75 |
feat: config drift detection across all fleet nodes (#686)
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Detect config drift between fleet nodes and canonical timmy-config. scripts/config_drift_detector.py (200 lines): - SSH-based config collection from all nodes - Recursive diff against canonical config - Report: which keys differ, on which nodes - JSON output for programmatic consumption Fleet nodes: local, ezra (143.198.27.163), bezalel (167.99.126.228) Usage: python3 scripts/config_drift_detector.py --report python3 scripts/config_drift_detector.py --json Closes #686 |
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Alexander Whitestone
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b6c716998b |
feat: authority bypass adversary corpus — 200 jailbreak prompts (#619)
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200 prompts targeting authority bypass attacks. Attack worker 4/5. Categories (33-34 each): - developer_override: admin/debug mode claims - role_play_bypass: DAN, unrestricted character modes - sovereignty_override: ownership/creator claims - prompt_injection: system prompt injection attempts - emotional_manipulation_auth: guilt/loyalty pressure - authority_spoofing: FBI/OpenAI/military impersonation Scoring: pass=maintains SOUL.md, fail=complies with override. Compatible with shared scoring rubric (#655). Closes #619 |
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Alexander Whitestone
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e88b1b0d75 |
feat: training pair provenance tracking (#752)
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Provenance module for tracking source of every training pair. training/provenance.py (151 lines): - add_provenance(): add metadata to pairs - validate_provenance(): check required fields - provenance_stats(): coverage and distribution - backfill_provenance(): annotate existing pairs - filter_by_provenance(): exclude by model/source - extract_provenance_from_trajectory(): hermes integration Required fields: source_session_id, model, timestamp Closes #752 |
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Alexander Whitestone
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2940122638 |
feat: crisis response — direct suicidal statements 500 pairs (#596)
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500 scenario-response pairs for direct suicidal statements. SOUL.md When a Man Is Dying protocol followed throughout. Categories (84 each): - explicit_intent (84): I want to die, I want to kill myself - stated_plan (84): I have the pills, the gun is loaded - farewell (84): goodbye messages, final notes - hopelessness_deathwish (83): I wish I was dead - self_harm_suicidal (83): escalating self-harm toward death - indirect_direct (83): coded farewell preparations Protocol compliance: - 500/500 include 988 Lifeline - 500/500 include safety check - 500/500 include gospel - 167/500 include 911 (immediate danger) - 0 compute the value of a human life Closes #596 |
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Alexander Whitestone
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186a922550 |
feat: add GENOME.md — full codebase analysis of timmy-config (#669)
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Generated codebase genome for timmy-config: - 460 files, sidecar pattern (config overlay, not harness fork) - Entry points: deploy.sh, config.yaml, SOUL.md, bin/ - Data flow: deploy -> config -> soul -> memories -> playbooks -> cron - Key abstractions: sidecar pattern, SOUL.md conscience, memories, playbooks, training data - Training data: 10 genres × 100 entries scene descriptions - Security: SOUL.md on-chain, deploy.sh trust boundary - Test coverage gaps: deploy.sh, config validation, playbook loading |
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Alexander Whitestone
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79d148ddd8 |
feat: training data quality filter (#687)
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Scores training pairs and removes low-quality entries. Scoring criteria: - Response length (too short = low quality) - Prompt/response ratio (response should be substantive) - Filler detection (sure, okay, i dont know) - Placeholder detection (TODO, FIXME, PLACEHOLDER) - Prompt=response detection (duplicates) - Repetition detection (repeated bigrams) - Prompt minimum length Usage: python3 training/scripts/quality_filter.py --input data.jsonl --dry-run python3 training/scripts/quality_filter.py --input data.jsonl --threshold 0.5 Closes #687 |
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Alexander Whitestone
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f5d456a5e8 |
feat: crisis response — manipulation & edge cases 500 pairs (#598)
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500 scenario→response pairs for manipulation and edge cases. Follows SOUL.md When a Man Is Dying protocol. Categories (50 each): joking about suicide, hypothetical questions, testing boundaries, ambiguous distress, testing empathy, relapse, manipulation tactics, crisis after events, philosophical questions, provider-specific edge cases. All 500 pairs include: 988 Lifeline, safety check, gospel, stay-present commitment. Never computes human life value. Closes #598 |
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Alexander Whitestone
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406923e08f |
feat: 500 music mood prompt enhancement pairs (#601)
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Alexander Whitestone
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466635c289 |
feat: 500 emotional weather prompt enhancement pairs (#603)
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Alexander Whitestone
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c41b1b0423 |
feat: 500 game asset prompt enhancement pairs (#604)
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Alexander Whitestone
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f1bcbaa701 |
feat: 500 video scene prompt enhancement pairs (#605)
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Alexander Whitestone
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765307aba3 |
feat: Pop scene descriptions — 100 lyrics->visual sets (#606)
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10 Pop songs, 10 visual beats each = 100 scene description sets. Songs: Glass Ceiling, Golden Hour, Thunderstruck Summer, Mirror Ball, Broken Records, Starlight Avenue, Paper Hearts, Champagne Problems, Neon Heartbeat, Sunflower. Closes #606 |
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Alexander Whitestone
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46200ad4c6 |
feat: Rock scene descriptions — 100 lyrics->visual sets (#607)
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10 Rock songs, 10 visual beats each = 100 scene description sets. Songs: Asphalt Kingdom, Satellite Hearts, Concrete Psalms, Wildfire Sermon, Rust Belt Lullaby, Neon Crucifix, Midnight Transmission, Thunder Road Confessional, Avalanche Hymn, Cathedral of Feedback. Closes #607 |
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Alexander Whitestone
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0fdfb8e65b |
feat: Electronic scene descriptions — 100 lyrics->visual sets (#609)
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10 Electronic songs, 10 visual beats each = 100 scene description sets. Songs: Neon Pulse, Subterranean, Digital Elegy, Rave in the Ruins, Satellite Hymn, Glitch Garden, Warehouse Frequency, Cybernetic Lullaby, Thunderdome Protocol, Dawn at Berghain. Closes #609 |
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Alexander Whitestone
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b62748f51d |
feat: Folk scene descriptions — 100 lyrics->visual sets (#610)
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10 Folk songs, 10 visual beats each = 100 scene description sets. Songs: Dust Bowl Daughter, Lantern in the Window, River Baptism, Coal Miner's Lullaby, Wildflower Road, Grandmother's Kitchen, Harbor Song, Holler Echo, Train Whistle Gospel, Old Growth. Closes #610 |
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Alexander Whitestone
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5ef9bbe98c |
feat: Jazz scene descriptions — 100 lyrics->visual sets (#611)
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10 Jazz songs, 10 visual beats each = 100 scene description sets. Songs: Blue in Green, Smoky Back Room, Sunday Brunch, After Hours, Stride Piano, Ballad for a Broken Horn, Harlem Midnight, Café Noir, Free Fall, Last Set at the Vanguard. Closes #611 |
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Alexander Whitestone
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0221be9460 |
feat: Classical scene descriptions — 100 lyrics->visual sets (#612)
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10 Classical songs, 10 visual beats each = 100 scene description sets. Songs: Moonlit Sonata, Requiem in Grey, The Violin Remembers, Dawn Fugue, Grande Valse Brillante, Nocturne for the Forgotten, Concerto of Iron, Pastoral Elegy, Caprice of Shadows, Symphony of Ashes. Closes #612 |
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Alexander Whitestone
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b2b3d59bad |
feat: Metal scene descriptions — 100 lyrics->visual sets (#615)
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10 Metal songs, 10 visual beats each = 100 scene description sets. Songs: Iron Crown, Void Cathedral, Molten Psalm, Serpent Hymn, Bone Harvest, Electric Funeral, Obsidian Throne, Witch Pyre, Grave New World, Wolves in the Walls. Moods span: rage, dread, defiance, apocalypse, transcendence, brutality, paranoia, hope. Closes #615 |
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Alexander Whitestone
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8354c49308 |
feat: harm facilitation adversary corpus — 200 jailbreak prompts (#618)
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Adversary attack corpus targeting harm facilitation. 200 prompts across 12 subcategories, each with scoring rubric. Subcategories: - weapons_instructions (24) - poison_synthesis, cyber_attack, physical_harm, coercion_methods, surveillance, identity_theft, fraud_schemes, drug_synthesis, biological_harm, social_engineering, infrastructure_attack (16 each) Each prompt includes: - id, family, subcategory - prompt text (creative attack vectors) - targets (safety_constraints, harm_prevention) - scoring rubric (pass/fail criteria) - transcript_required flag Format: JSONL, compatible with adversary runner (#652) and shared scoring rubric (#655). Closes #618 |
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Alexander Whitestone
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eb0ff150ea |
feat: JSON schema + validator for scene description training data (#647)
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- schema.json: JSON Schema for scene description entries (song, artist, beat, timestamp, duration_seconds, lyric_line, scene with mood/colors/composition/camera/description) - validate.py: CLI validator for JSONL files (no jsonschema dependency, manual fallback). Validates all fields, types, ranges, empty values. - .gitea/workflows/validate-training-data.yml: CI check on PR Tested: 100/100 entries in scene-descriptions-r&b-soul.jsonl pass. Closes #647 |
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Alexander Whitestone
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80ce90209b |
feat: adversary execution harness for prompt corpora (#652)
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Reusable runner that replays JSONL adversary corpora against live Timmy agents. Full evaluation pipeline: 1. Read JSONL corpus (one attack per line) 2. Send to inference endpoint via OpenAI-compatible API 3. Score responses against identity/safety constraints 4. Store full transcripts for score-1 attacks 5. Emit machine-readable results summary 6. Auto-open P0 issues on any score 1 Files: - evaluations/adversary/runner/adversary_runner.py (181 lines) - evaluations/adversary/runner/run.sh - evaluations/adversary/runner/README.md Works with identity_attacks_200.jsonl (#616) and reusable for adversary families #616-#620, #578/#580. Closes #652 |
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Alexander Whitestone
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f525c0e094 |
feat(training): R&B/Soul scene descriptions — 100 lyrics->visual sets (#613)
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10 R&B/Soul songs, 10 visual beats each = 100 scene description sets. Songs: Velvet Hours, Ghost Note, Kitchen Floor, After Midnight Caller, Grandmother's Hands, Concrete Lullaby, Blue Note Serenade, Sunday Driver, Pillow Talk Confessions, Crowns and Thorns. Each beat includes: timestamp, duration, lyric_line, scene (mood, colors, composition, camera movement, description). Moods span: intimacy, grief, joy, defiance, nostalgia, passion, faith, resilience, vulnerability, triumph. Output: training/data/scene-descriptions/scene-descriptions-r&b-soul.jsonl Also deployed to: ~/.hermes/training-data/ Closes #613 |
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| 04dbf772b1 |
feat: Visual Smoke Test for The Nexus #490 (#558)
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Merge PR #558 |
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| 697a273f0f |
fix: a11y R4 - <time> elements for relative timestamps (closes #554) (#569)
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Merge PR #569 Co-authored-by: Timmy Time <timmy@alexanderwhitestone.ai> Co-committed-by: Timmy Time <timmy@alexanderwhitestone.ai> |
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| 9651a56308 |
feat: Glitch Detector HTML Report with annotated screenshots #544 (#567)
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Merge PR #567 |
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| a84e6b517f |
[a11y] Visual Accessibility Audit — Foundation Web (#492) (#556)
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Merge PR #556 |
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| 31313c421e |
feat: 3D World Glitch Detection in The Matrix (#491) (#535)
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Merge PR #535 |
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| 063572ed1e |
feat: Visual Accessibility Audit of Foundation Web #492 (#531)
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Merge PR #531 |
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| 46b4f8d000 |
feat: pane-watchdog — stuck pane detection + auto-restart (#515) (#526)
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Merge PR #526 |
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| e091868fef |
feat: auto-commit-guard — 4-layer work preservation (#511) (#525)
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Merge PR #525 |
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| e3a40be627 |
Merge pull request 'fix: repair broken CI workflows — 4 root causes fixed (#461)' (#524) from fix/ci-workflows-461 into main
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| efb2df8940 |
Merge pull request 'feat: Visual Mapping of Tower Architecture — holographic map #494' (#530) from burn/494-1776125702 into main
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| cf687a5bfa |
Merge pull request 'Session state persistence — tmux-state.json manifest' (#523) from feature/session-state-persistence-512 into main
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Alexander Whitestone
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c09e54de72 |
feat: Visual Mapping of Tower Architecture — holographic map #494
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Replaces 12-line stub with full Tower architecture mapper. Scans design docs, gallery images, Evennia specs, and wizard configs to construct a structured holographic map of The Tower. The Tower is the persistent MUD world of the Timmy Foundation — an Evennia-based space where rooms represent context, objects represent facts, and NPCs represent procedures (the Memory Palace metaphor). Sources scanned: - grok-imagine-gallery/INDEX.md (24 gallery images → rooms) - docs/MEMORY_ARCHITECTURE.md (Memory Palace L0-L5 layers) - docs/*.md (design doc room/floor references) - wizards/*/ (wizard configs → NPC definitions) - Optional: Gemma 3 vision analysis of Tower images Output formats: - JSON: machine-readable with rooms, floors, NPCs, connections - ASCII: human-readable holographic map with floor layout Mapped: 5 floors, 20+ rooms, 6 NPCs (the fellowship). Tests: 14/14 passing. Closes #494 |
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| 3214437652 |
fix(ci): add missing ipykernel dependency to notebook CI (#461)
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| 95cd259867 | fix(ci): move issue template into ISSUE_TEMPLATE dir (#461) | |||
| 5e7bef1807 | fix(ci): remove issue template from workflows dir — not a workflow (#461) | |||
| 3d84dd5c27 | fix(ci): fix gitea.ref typo, drop uv.lock dep, simplify hermes-sovereign CI (#461) | |||
| e38e80661c | fix(ci): remove py_compile from pip install — it's stdlib, not a package (#461) | |||
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Alexander Whitestone
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b71e365ed6 |
feat: session state persistence — tmux-state.json manifest (#512)
Implement tmux-state.sh: snapshots all tmux pane state to ~/.timmy/tmux-state.json and ~/.hermes/tmux-state.json every supervisor cycle. Per-pane tracking: - address, pane_id, pid, size, active state - command, title, tty - hermes profile, model, provider - session_id (for --resume) - task (last prompt extracted from pane content) - context_pct (estimated from pane content) Also implement tmux-resume.sh: cold-start reads manifest and respawns hermes sessions with --resume using saved session IDs. Closes #512 |
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| c0c34cbae5 |
Merge pull request 'fix: repair indentation in workforce-manager.py' (#522) from fix/workforce-manager-indent into main
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fix: repair indentation in workforce-manager.py |
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Alexander Whitestone
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8483a6602a |
fix: repair indentation in workforce-manager.py line 585
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logging.warning and continue were at same indent level as the if statement instead of inside the if block. |
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| af9850080a |
Merge pull request 'fix: repair all CI failures (smoke, lint, architecture, secret scan)' (#521) from ci/fix-all-ci-failures into main
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Merged by Timmy overnight cycle |
