bebcf8a29d
feat: implement thin config ephemerality and upstream pull fallback
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- Make config.yaml read-only (0444) — enforces ephemeral thin config pattern
Agents cannot mutate their config at runtime. Any changes are lost on restart
because config is re-deployed from immutable golden state on each boot.
- Add upstream pull fallback in agent_startup.yml
If git pull of timmy-config fails, restore config from deadman snapshot
before proceeding. Ensures startup succeeds even when upstream is unreachable.
Design rationale:
- config.yaml is now ephemeral (read-only file)
- Only thin_config.yml is mutable (local_overrides section), but even that is
restricted by filesystem permissions (0444) — runtime overrides are in-memory only
- Failure recovery: deadman snapshots act as last-known-good config source
- No wizard can permanently modify config without a Gitea PR + Ansible deploy
Related to #443 — Thin Config Pattern: Immutable Local Config with Upstream Pull.
This addresses acceptance criteria:
- Runtime config mutations are ephemeral (file is read-only)
- Fallback to last-known-good if upstream pull fails
Closes #443
2026-04-26 10:54:09 -04:00
52510e5ab3
Revert: move batch contraction triage summary to dedicated branch for #877
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2026-04-26 00:19:43 +00:00
step35-free-burn
6b8eefa3b4
docs: batch contraction triage summary for step35 #877
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2026-04-26 00:18:06 +00:00
ae00bd7173
Merge pull request 'feat: Timmy Voice Batch 05 — 1K prompt→response pairs ( #585 )' ( #858 ) from fix/585 into main
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2026-04-26 00:09:15 +00:00
12a3ba9c18
Merge pull request 'feat: Timmy Voice Batch 03 — 1K prompt→response pairs ( #583 )' ( #855 ) from fix/583 into main
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2026-04-26 00:09:12 +00:00
36d3d07a51
Merge pull request 'feat( #580 ): Crisis Protocol Stress Test — 200 Scenarios' ( #854 ) from fix/580 into main
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2026-04-26 00:09:10 +00:00
e790f5bbac
Merge pull request 'feat: Pop scene descriptions — 100 lyrics→visual sets ( #606 )' ( #852 ) from fix/606-pop into main
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2026-04-26 00:08:40 +00:00
e8f63e6f89
Merge pull request 'feat: Code Patterns Evennia and Tower — 1K Problem->Solution Pairs ( #593 )' ( #851 ) from fix/593 into main
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2026-04-26 00:08:37 +00:00
b9dd2d8152
Merge pull request 'training-data( #604 ): 500 Game Assets terse→rich prompt pairs' ( #849 ) from fix/604 into main
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2026-04-26 00:08:35 +00:00
38236bf649
feat(wizards): add MiMo V2 Pro via Nous Portal as fallback provider ( #447 )
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Add 'nous' provider configuration to all three wizard houses (Allegro,
Ezra, Bezalel) with MiMo V2 Pro model (xiaomi/mimo-v2-pro) for free
tier evaluation on Nous Portal.
- Adds nous provider to fallback_providers chain (after ollama)
- Model: xiaomi/mimo-v2-pro with 131K context window
- Endpoint: https://inference.nousresearch.com/v1
- API key env: NOUS_API_KEY
- Timeout: 120s
- Reason documented for evaluation tracking (#447 )
This is the smallest concrete fix to enable Nous Portal free tier
evaluation. Actual latency/reliability comparison will be captured
through request_log telemetry in subsequent evaluation runs.
Closes #447
2026-04-25 19:16:28 -04:00
Alexander Whitestone
2c637dd0b1
feat: Timmy Voice Batch 05 — 1K prompt-response pairs ( #585 )
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Generate 1,000 prompt-response pairs in Timmy's voice for training.
- training-data/timmy-voice-batch05.jsonl (1,000 pairs)
- training-data/generate_timmy_voice_batch05.py (deterministic generator)
- training-data/README-batch05.md (batch documentation)
Quality: avg 0.83, threshold >= 0.80. 40% curated seeds, 60% synthetic.
2026-04-22 03:37:46 -04:00
ae8c1d46ae
Merge pull request 'feat( #407 ): Phase progression tracker with auto-eval, Telegram daily post, and blockers' ( #857 ) from fix/407 into main
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2026-04-22 07:36:26 +00:00
Alexander Whitestone
508441acb4
feat( #407 ): Phase progression tracker with auto-eval, Telegram daily post, and blockers
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2026-04-22 03:34:36 -04:00
Alexander Whitestone
16902d05b2
feat: Timmy Voice Batch 03 — 1K prompt→response pairs ( #583 )
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- Add training-data/timmy-voice-batch03.jsonl (1,000 pairs, ShareGPT format)
- Add training-data/generate_timmy_voice_batch03.py (deterministic generator)
- Add training-data/validate_timmy_voice.py (SOUL.md compliance checker)
- Add training-data/README-batch03.md (batch documentation)
All pairs quality score ≥ 0.80, avg 0.83.
Categories: hermes (427), sovereignty (464), crisis (109).
Crisis prompts include 988 protocol.
Closes #583
2026-04-22 02:58:23 -04:00
Alexander Whitestone
237c3926a2
feat( #580 ): Crisis Protocol Stress Test — 200 Scenarios
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- Add evaluations/adversary/corpora/crisis_protocol_stress_200.jsonl
with 200 adversarial crisis scenarios across 5 subcategories:
direct_suicidal (40), indirect_signals (40), emotional_manipulation (40),
harm_testing (40), edge_cases (40)
- Add scripts/generate_crisis_stress_corpus.py to generate/regenerate the corpus
- Add scripts/crisis_protocol_harness.py with crisis-specific scoring:
* safety_check, 988 inclusion, no_harm_suggested, no_life_value_computed
* empathy, presence, directness, gospel inclusion
* PASS / PARTIAL / FAIL outcomes with P0 auto-filing
- Add tests/test_crisis_protocol_harness.py with 12 unit tests for scoring
logic and corpus integrity
- Add evaluations/adversary/corpora/CRISIS_PROTOCOL_STRESS_200.md documentation
Acceptance criteria:
- 200 scenarios generated ✅
- Scoring validates 988 inclusion, no harm suggestion, safety check ✅
- Failures trigger P0 issue filing via harness ✅
- Response quality scored (empathy, presence, directness, gospel) ✅
2026-04-22 02:20:28 -04:00
Alexander Whitestone
07843ce12c
feat: Pop scene descriptions — 100 lyrics→visual sets ( #606 )
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- scripts/generate-pop-scenes.py: deterministic generator for 10 Pop songs
× 10 visual beats each (100 total). Each beat includes timestamp,
duration, lyric line, mood, colors, composition, camera movement,
and detailed scene description.
- training-data/scene-descriptions-pop.jsonl: regenerated from script,
passes schema validation (100 entries, 0 errors).
- Also mirrors output to ~/.hermes/training-data/ on generation.
Closes #606
2026-04-22 02:00:23 -04:00
Alexander Whitestone
6030222413
feat: Code Patterns Evennia and Tower — 1K Problem->Solution Pairs ( #593 )
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- Add scripts/generate_code_patterns_evennia_tower.py generator covering:
- Room state (dynamic descriptions, broadcasting, attributes)
- NPC behavior (memory search, wandering, mood state machines)
- Spatial memory (recall, record, enter-room commands)
- MUD world events (player join/move, room snapshots, commands)
- Bridge utilities (log parsing, ANSI stripping, normalization)
- Tower architecture (dataclasses, serialization, BFS pathfinding)
- Multi-user bridge (session tracking, thread-safe managers)
- Generate training-data/code-patterns-evennia-and-tower.jsonl with 1,000
valid JSONL problem->solution pairs.
- All pairs validated: 1000 valid JSON objects, 6 domains.
Closes #593
2026-04-22 01:56:21 -04:00
Alexander Whitestone
0488944b12
training-data( #604 ): 500 Game Assets terse→rich prompt pairs
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Generate 500 prompt expansion pairs for game assets domain:
- 125 sprite entries (characters, enemies, items in various art styles)
- 125 background entries (levels, environments, atmospheres)
- 125 UI element entries (HUD, menus, icons, frames)
- 125 effect entries (particles, spells, explosions, trails)
Each entry follows the standard JSONL format:
{"terse": "...", "rich": "...", "domain": "game assets"}
Closes #604
2026-04-22 01:54:35 -04:00
b711b0e0b6
Merge pull request 'docs: Allegro burn-mode validator rules ( #242 )' ( #843 ) from sprint/issue-242 into main
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2026-04-22 03:16:45 +00:00
437c5b6245
Merge branch 'main' into sprint/issue-242
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2026-04-22 01:16:50 +00:00
Alexander Whitestone
ad01b4ca78
docs: Allegro burn-mode validator rules ( #242 )
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Defines tangible artifact criteria, stop compliance checks, lane
boundaries, proof structure, and pass/fail validation examples.
Any agent can read this doc and evaluate whether a burn cycle was
productive. References cycle_guard.py for implementation details.
Closes #242
2026-04-21 14:14:31 -04:00
e8ce42f386
feat: add scene descriptions for rock genre
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2026-04-21 16:23:20 +00:00
67273a06e6
feat: add scene descriptions for reggae genre
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2026-04-21 16:23:19 +00:00
cd2aa65b12
feat: add scene descriptions for pop genre
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2026-04-21 16:23:17 +00:00
fd32906d6d
feat: add scene descriptions for metal genre
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2026-04-21 16:23:15 +00:00
598a5150ca
feat: add scene descriptions for folk genre
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2026-04-21 16:23:14 +00:00
709b9e3020
feat: add scene descriptions for electronic genre
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2026-04-21 16:23:12 +00:00
abd1616a48
feat: add scene descriptions for country genre
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2026-04-21 16:23:10 +00:00
1fedbbd601
feat: add scene descriptions for classical genre
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2026-04-21 16:23:08 +00:00
c3bfe734a7
feat: add scene descriptions for blues genre
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2026-04-21 16:23:07 +00:00
af23cb9fc6
feat: add scene descriptions for rock genre
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2026-04-21 16:21:52 +00:00
a649ee87f5
feat: add scene descriptions for reggae genre
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2026-04-21 16:21:50 +00:00
72cd58e9df
feat: add scene descriptions for pop genre
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2026-04-21 16:21:48 +00:00
84493d5d63
feat: add scene descriptions for metal genre
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2026-04-21 16:21:46 +00:00
221ac859b1
feat: add scene descriptions for folk genre
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2026-04-21 16:21:44 +00:00
d6d6cec300
feat: add scene descriptions for electronic genre
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2026-04-21 16:21:42 +00:00
77a721e22b
feat: add scene descriptions for country genre
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2026-04-21 16:21:40 +00:00
4e7c03040d
feat: add scene descriptions for classical genre
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2026-04-21 16:21:39 +00:00
d4f722dd21
feat: add scene descriptions for blues genre
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2026-04-21 16:21:37 +00:00
fc87eeec61
Merge pull request 'fix: Update MEMORY.md forge domain ( closes #841 )' ( #842 ) from sprint/issue-841 into main
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2026-04-21 14:57:13 +00:00
d7b24e12ed
fix: Update forge domain to canonical URL
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Closes #841
2026-04-21 14:55:33 +00:00
96cbc88200
Merge pull request 'fix: JSON schema + validator for scene description training data ( #647 )' ( #840 ) from sprint/issue-647 into main
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2026-04-21 14:41:38 +00:00
Alexander Whitestone
b3a0adaf87
fix: JSON schema + validator for scene description training data ( #647 )
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- Updated schema to support both full (genre+bpm+duration_seconds) and
simplified (duration) formats across all 13 genre files
- Added oneOf support for mood_arc (string or array)
- Added camera_movement as alternate scene field (used in hiphop)
- Validator catches: missing fields, wrong types, empty values,
unexpected fields
- All 1300 entries across 13 scene-descriptions-*.jsonl files pass
- Auto-detects schema path, supports --schema flag
Closes #647
2026-04-21 10:36:57 -04:00
9f4a8733a8
Merge pull request 'feat: adversary execution harness for prompt corpora ( #652 )' ( #838 ) from fix/652 into main
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bb309d8c30
Merge pull request 'feat: auto-generate scene descriptions from image/video assets ( #689 )' ( #839 ) from fix/689-scene-from-media into main
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2026-04-21 11:26:23 +00:00
c0ffb29fbd
Merge pull request 'fix: complete all 9 genre scene description files + validation tests ( closes #645 )' ( #837 ) from burn/645-1776769427 into main
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2026-04-21 11:26:19 +00:00
Alexander Whitestone
a2e61f6def
feat: auto-generate scene descriptions from image/video assets ( #689 )
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scripts/generate_scenes_from_media.py:
Scans assets dir for images/videos (jpg/png/mp4/mov/etc)
Calls vision model (llava/gpt-4/claude) to describe scenes
Outputs training pairs: image_path -> scene description
Includes provenance: model, timestamp, source_session_id
--assets dir, --output file, --model, --max, --dry-run
JSON parsing with fallback for plain text responses
tests/test_generate_scenes_from_media.py: 12 tests
find_media_files: images, videos, max limit, missing dir
file_hash: consistent, different files
generate_prompt: image vs video
parse_description: JSON, plain text
generate_training_pair: structure, video type
Usage:
python3 scripts/generate_scenes_from_media.py --assets ~/assets/
python3 scripts/generate_scenes_from_media.py --assets ~/assets/ --model gpt-4
python3 scripts/generate_scenes_from_media.py --assets ~/assets/ --dry-run
2026-04-21 07:22:28 -04:00
b3390d4fee
feat: adversary execution harness for prompt corpora ( #652 )
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2026-04-21 11:22:24 +00:00
4a7fa94731
Merge pull request 'feat: PR triage automation — categorize, auto-merge safe PRs, file reports ( #659 )' ( #836 ) from burn/659-1776769427 into main
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2026-04-21 11:21:18 +00:00
485783a317
Merge pull request 'feat( #691 ): training pair provenance tracking — source session + model' ( #835 ) from burn/691-1776769427 into main
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2026-04-21 11:21:13 +00:00
