Mikei386
5834342f8c
fix: automate cross-source media library audits
2026-08-24 12:02:03 +02:00
Mikei386
5008f3329c
fix: automate verified Unraid update workflows
2026-08-24 11:28:49 +02:00
Mikei386
b997fcb9f7
fix(files): force a final answer before tool cutoff
2026-08-24 07:12:15 +02:00
Mikei386
c3121281de
fix(files): detect CSV dialect before parsing
2026-08-24 07:05:04 +02:00
Mikei386
e24839bfe1
fix(tools): harden OpenWebUI tool workflows
2026-08-24 00:40:32 +02:00
Mikei386
bfb990a4fd
fix(web): distinguish YouTube videos from Shorts
2026-08-23 23:09:03 +02:00
Mikei386
472efa0b93
Harden private search fallback and freshness handling
2026-08-23 22:48:17 +02:00
Mikei386
11aefea5a3
Upgrade local web gateway with structured YouTube support
2026-08-23 22:42:27 +02:00
Mikei386
b723f820bf
Route automatic Unraid diagnostics through read-only MUA
2026-08-23 21:52:17 +02:00
Mikei386
feb99293b5
Improve external service discovery and tool routing
2026-08-23 21:44:33 +02:00
Mikei386
b5118099ed
Improve secret redaction transparency
2026-08-23 21:29:35 +02:00
Mikei386
94f3758795
Add controlled Athena platform operator
2026-08-23 21:10:44 +02:00
Mikei386
2f4bff550e
Prevent terminal symlink traversal via recursive grep
2026-08-23 19:48:40 +02:00
Mikei386
91d36a98e3
Add bounded read-only Athena terminal MCP
2026-08-23 19:38:57 +02:00
Mikei386
c3e44b18f8
Handle speech transcription variants in tool routing
2026-08-23 19:06:48 +02:00
Mikei386
e9b647e579
Add automatic per-request MCP selection
2026-08-23 19:04:42 +02:00
Mikei386
3dbb66037d
Add self-maintaining Athena platform context MCP
2026-08-23 17:31:05 +02:00
Mikei386
fea4a83582
Clarify Sonarr search download behavior
2026-08-23 14:50:08 +02:00
Mikei386
09634a27f9
Add approved Sonarr release grabs
2026-08-23 14:38:42 +02:00
Mikei386
2ef894160a
Add final Qwen3.8 runtime and uncensored profile
2026-08-23 00:10:53 +02:00
Mikei386
ced8d36a0c
Add native chat background and guarded HA YAML access
2026-08-22 22:12:14 +02:00
Mikei386
7ac93befc4
Add RTX 5080 FLUX hot-swap worker
2026-08-22 17:40:32 +02:00
Mikei386
8267a85a96
Offload vision projector to RTX 3060
2026-08-22 17:19:56 +02:00
Mikei386
41b9c17f0f
Define four-profile production matrix with Medium default
2026-08-22 11:30:38 +02:00
Mikei386
977f8f5c76
Validate Pure quant for 256K Ultra profile
2026-08-22 11:01:13 +02:00
Mikei386
6edf1fe462
Add reviewed OpenWebUI quick actions
2026-08-21 15:23:28 +02:00
Mikei386
16c83ca7d6
Add OpenWebUI stability and privacy guards
2026-08-21 15:12:00 +02:00
Mikei386
e83c0e2c70
Add reproducible Docker and WireGuard host bootstrap
2026-08-20 21:23:16 +02:00
Mikei386
cb07779f5a
Replace vision hotswap with native multimodal profiles
2026-08-20 14:24:56 +02:00
Mikei386
fd4a3055e8
Rebuild profile router as secure recoverable v2
2026-08-20 13:41:00 +02:00
Mikei386
0e4a9de5ba
Expand router into reproducible local AI platform
2026-08-20 12:56:53 +02:00
Mikei386
fedcb0b6d3
Cleanup: letzter Kokoro-Reference entfernt
2026-08-19 22:02:59 +02:00
Mikei386
d399d2b4f7
TTS: Kokoro → XTTS-v2 (CPU-only, Claribel Dervla)
...
- Neues xtts_worker.py: Coqui XTTS-v2, HTTP-API auf Port 8085
- Router: TTS_WORKER_URL → 8085, TTS_MODEL → xtts-v2, TTS_VOICES → claribel
- deploy: mike-ai-xtts.service, install.sh + deploy.sh aktualisiert
- Tests: 54/54 bestanden (mock_tts_worker + test_local.sh auf XTTS umgestellt)
- README: TTS-Section auf XTTS-v2 aktualisiert
- Kokoro-Service gestoppt und deaktiviert (Dateien bleiben als Backup)
2026-08-19 22:01:58 +02:00
Mikei386
ed471196d4
router: HTTP/1.1 chunked Transfer-Encoding-Unterstützung
...
- Zentrale _read_body() Helper für Content-Length und chunked encoding
- _read_chunked_body(): hex Chunk-Größen, Chunk Extensions, 0-Chunk,
Trailer, MAX_UPLOAD_SIZE (50 MB Default)
- Malformed chunked encoding → HTTP 400
- _transcribe(), _speech(), _image_generate(), _forward() nutzen Helper
- Temporäres STT-DEBUG-Logging entfernt
- 16 Regressionstests (dev/test_chunked.py):
Content-Length, chunked, Multi-Chunk, Boundary über Chunk-Grenzen,
Chunk Extensions, 0-Chunk mit Trailer, malformed Chunk Size,
Uploadgrößenlimit, Open-WebUI-artiger WebM-Request
2026-08-19 16:31:22 +02:00
Mikei386
e81f2ab515
router: Multipart-Parser auf email.parser.BytesParser umgestellt
...
- Robustes MIME-Parsing mit Standardbibliothek (email.parser.BytesParser)
- Handhabt quoted und unquoted Boundaries (Open-WebUI-Kompatibilität)
- Beliebiges Feldreihenfolge, zusätzliche Header, binäre Payloads
- Regressionstests: dev/test_multipart.py (8 Tests)
- Fix für Open-WebUI HTTP 400 bei POST /v1/audio/transcriptions
2026-08-19 14:37:24 +02:00
Mikei386
51ef07c874
router: deutsche Spracherkennung mit whisper.cpp (CPU-only)
...
- STT-Worker (stt_worker.py): langlebiger HTTP-Service auf Port 8084
- whisper-cli als Subprozess (CPU-only, 8 Threads)
- Audio-Vorbereitung via ffmpeg (WebM/Opus/M4A → 16 kHz WAV)
- Nativ: WAV, MP3, OGG, FLAC
- Health-Endpunkt: GET /status
- Transkription: POST /transcribe (Multipart-Form-Data)
- Router-Integration:
- POST /v1/audio/transcriptions (OpenAI-kompatibel)
- GET /v1/audio/models (whisper-1, kokoro-german)
- GET /v1/audio/voices (martin, victoria)
- /status mit stt-Section
- model=whisper-1 akzeptiert
- response_format: json, verbose_json
- systemd-Service: mike-ai-whisper.service
- Boot-Start, Restart on failure, journald
- CPU-only, kein GPU-Lock
- Deploy-Dateien aktualisiert (deploy.sh, install.sh)
- Mock-STT-Worker für lokale Tests (dev/mock_stt_worker.py)
- Tests ergänzt: STT Status, WAV, language=de, unbekanntes Modell,
Worker down, Recovery, Audio-Modelle, Audio-Voices,
STT+Qwen parallel, STT+TTS parallel
- README.md: STT-Section mit Endpunkten, Benchmarks, Doku
Benchmarks (CPU-only, 8 Threads):
7.3 s Audio → 8.9 s (RTF 1.22×)
30 s Audio → 16.8 s (RTF 0.56×)
50 s Audio → 18.5 s (RTF 0.37×)
RAM: ~1.7 GB (Modell), Worker: ~20 MB
2026-08-19 13:53:22 +02:00
Mikei386
6db10fbc3f
router: deutsche Sprachausgabe mit Kokoro-82M (CPU-only)
...
Fügt einen OpenAI-kompatiblen TTS-Endpunkt POST /v1/audio/speech hinzu.
Die Synthese läuft in einem separaten, langlebigen Worker
(mike-ai-kokoro.service) mit eigenem Venv (CPU-only torch) und hält die
Modelle dauerhaft im RAM (niedrige Warm-Start-Latenz).
- Zwei deutsche Stimmen: kikiri-german-martin, kikiri-german-victoria
(Apache 2.0, je ~327 MB) unter /opt/mike-ai/models/kokoro/
- Deutsche G2P über espeak-ng (phonemizer), kein spacy/thinc 9.x nötig
(kokoro mit --no-deps + misaki ohne [en], Python 3.13-kompatibel)
- Formate: mp3 (Default), wav, flac, pcm; speed 0.5-2.0
- /status um tts.*-Felder erweitert (reachable, ready, voices, ...)
- TTS ohne GPU-Lock: blockiert weder Qwen/llama.cpp noch FLUX
- systemd-Unit mike-ai-kokoro.service (Start beim Boot)
- install.sh/deploy.sh um Kokoro-Venv + Modell-Download erweitert
- Mock-TTS-Worker + 11 TTS-Tests (insgesamt 43, alle bestanden)
- Hörproben (je ~40 s) + Benchmark (RTF ~0.23, ~4.3x Echtzeit)
Kein Push – erst nach User-Freigabe.
2026-08-19 12:05:09 +02:00
Mikei386
7c5bbe2ffb
router: Bildgenerierung mit FLUX.2 [klein] 4B Base (GPU-Hotswap)
...
- POST /v1/images/generations (OpenAI-kompatibel, prompt/size/n/seed/quality)
- quality: standard=30 Steps (Default), high=50 Steps
- Größen: 1024x1024, 1536x1024, 1024x1536, 1920x1088, 1088x1920
- GPU-Hotswap: Qwen stoppen -> FLUX laden -> Bild -> FLUX entladen -> Qwen
wiederherstellen (exakt vorheriges Profil)
- Zentrales GPU/Modell-Lock (Profilwechsel und Bild teilen sich das Lock)
- Chat-Requests warten während Bild-Job (kein 502), Timeout CHAT_WAIT_TIMEOUT
- Robuste Recovery: try/finally, Worker-Beendigung, VRAM-Check, Qwen-Readiness
- /status: image.phase, image.worker, image.model_loaded, qwen.available,
qwen.active_chats
- GET /images, GET /images/<datei> (validiert, nur images/-Verzeichnis)
- image_worker.py: FLUX-Worker (eigener Prozess, JSON-Protokoll, bf16 +
enable_model_cpu_offload)
- deploy: venv (torch/diffusers/transformers/accelerate), Modell-Download,
Image-Dir, systemd-Unit mit Image-Umgebungsvariablen
- dev: Mock-Worker, fake-systemctl, Benchmarks (GPU-Resident, Offload, Steps,
Quality-Compare), 32 lokale Tests
- README: Bildgenerierung, Hotswap, Recovery, Benchmarks (RTX 5080),
Python-Pakete
Benchmarks (RTX 5080, 16 GB, CPU-Offload):
- 512x512 / 10 Steps: ~9.3 s
- 1024x1024 / 30 Steps: ~31.3 s
- 1024x1024 / 50 Steps: ~45.3 s
- 1920x1088 / 50 Steps: ~91 s
- Peak-VRAM: ~8.4-8.9 GB
- Hotswap-Gesamtzeit: ~41-42 s (1024x1024 / 30 Steps)
2026-08-19 08:51:37 +02:00
Mikei386
c753bd120c
dev: lokale Tests mit Mock-llama.cpp
2026-08-18 22:52:48 +02:00