saravanakumardb1
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093682eace
|
docs(local-llm): add systematic dashboard bug & improvement review
DASHBOARD_REVIEW.md — comprehensive code review of all 6 dashboard files
(1,395 lines). Organized into 7 sections:
- 10 bugs (B1–B10): hardcoded header, blocking pull, escape during stream,
auto-refresh during streaming, no abort controller, vm_stat page size, etc.
- 5 code quality issues (CQ1–CQ5): monolithic component, inline styles,
duplicated constants, no error boundary, no loading skeleton
- 16 feature ideas (F1–F16): pull progress, chat mode, prompt history,
token/s metrics, model search, whisper test, extraction integration, etc.
- 5 performance items (P1–P5): request deduplication, cache TTL, du latency
- 3 security notes (S1–S3): input validation, shell injection pattern, CORS
- Priority matrix and 5-sprint implementation roadmap
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2026-02-19 14:36:51 -08:00 |
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saravanakumardb1
|
b77afce9ae
|
docs(local-llm): add Mission Control dashboard documentation
- docs/05-mission-control-dashboard.md: complete dashboard reference with
architecture diagram, API route docs (request/response examples),
UI feature descriptions, design tokens table, v1/v2 changelog,
and future improvements roadmap
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2026-02-19 13:03:30 -08:00 |
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saravanakumardb1
|
3561deee52
|
docs(local-llm): add multimodal stack, model recommendations, and troubleshooting
- docs/04-multimodal-local-stack.md: vision models (llava, qwen2.5vl, moondream2),
audio pipeline architecture, video understanding status, Kimi alternatives,
complete local AI stack diagram
- docs/07-model-recommendations.md: 6-tier model guide (coding, fast, general,
reasoning, vision, embeddings), recommended 10-model stack for M4 Pro 48GB,
use-case quick reference, hardware scaling guide
- docs/08-troubleshooting.md: corporate Forcepoint proxy workarounds, MLX warning,
JSON parse errors, slow inference, whisper-cli vs whisper-cpp naming, audio
format conversion, proxy-corrupted downloads detection
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2026-02-19 13:01:22 -08:00 |
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saravanakumardb1
|
80f794dee7
|
docs(local-llm): add Ollama setup, extraction evals, and env vars reference
- docs/02-ollama-setup-and-models.md: installation, server config, memory management,
idle timeout, manual load/unload, OpenAI-compatible API, native API reference,
performance tuning flags (flash attention, KV cache)
- docs/06-extraction-service-evals.md: promptfoo eval suite against Ollama, 19 cases
across 5 tasks, assertion patterns for JSON string output, Python sidecar config
- docs/09-environment-variables.md: comprehensive var reference for Ollama server,
evals, Python sidecar, dashboard, whisper CLI flags, proxy/network settings
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2026-02-19 13:01:05 -08:00 |
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saravanakumardb1
|
464ffb92ec
|
docs(local-llm): add docs index, hardware specs, and whisper-cpp setup
- docs/README.md: documentation index with quick start, file structure, status table
- docs/01-hardware-and-prerequisites.md: M4 Pro 48GB specs, toolchain inventory,
disk budget, network environment (Forcepoint proxy details)
- docs/03-whisper-cpp-setup.md: whisper-cpp installation, GGML model guide,
ffmpeg audio conversion, CLI usage, real-time streaming, LysnrAI integration
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2026-02-19 13:00:48 -08:00 |
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