alvis d9668928c0 Hindsight: route consolidation/reflect to local gemma3:4b (kb#88) + rationale
Per-stage LLM routing so Hindsight's high-volume background jobs stop burning
the rate-limited Kimi subscription:
- CONSOLIDATION + REFLECT -> ollama/gemma3:4b via LiteLLM :4000 (local GPU, free)
- RETAIN (fact extraction) stays on Kimi (hindsight-llm) for quality
Fixes the Kimi 5h window maxing at 100% from ~1100 background calls/3h (dropped
to ~38%). Documents the reasoning in HINDSIGHT-MIGRATION.md section 10:
frequent/mechanical/background stages -> cheap local model; user-facing,
quality-critical, low-volume -> Kimi.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014t8Qg9gi7H7HtT8MncoXAB
2026-07-16 20:30:35 +00:00
2026-03-05 11:22:34 +00:00
2026-03-05 11:22:34 +00:00
2026-03-17 03:06:18 +00:00
2026-03-05 11:22:34 +00:00

Agap Home Server

Docker Compose configurations for the Agap self-hosted home server infrastructure.

Services

  • Immich (immich-app/) — Photo management and backup (port 2283)
  • Gitea (gitea/) — Self-hosted Git server with web UI (port 3000, SSH 222)
  • Open WebUI (openai/) — AI chat interface with Ollama, GPU-accelerated (port 3125)

Quick Start

Start Immich (main service)

docker compose up -d

Start Gitea (from gitea/ directory)

cd gitea
docker compose up -d

Start Open WebUI (from openai/ directory)

cd openai
docker compose up -d

Configuration

Environment variables are in the root .env file for Immich:

  • UPLOAD_LOCATION — where photo originals are stored
  • THUMB_LOCATION — thumbnail cache directory
  • ENCODED_VIDEO_LOCATION — transcoded video cache
  • DB_DATA_LOCATION — Postgres database directory
  • DB_PASSWORD — Postgres password

Storage

Media is stored on:

  • /mnt/media/upload — Immich originals
  • /mnt/ssd1/media/ — Immich thumbnails, encoded video, and Postgres database
  • /mnt/misc/gitea — Gitea repositories and data

GPU Support

For GPU acceleration (Open WebUI/Ollama, Immich ML):

  1. Install NVIDIA Docker runtime: sudo ./nvidia-docker-install.sh
  2. Install CUDA toolkit: ./install-cuda.sh

Documentation

See CLAUDE.md for detailed developer instructions and Gitea wiki integration guidelines.

See the Gitea wiki for infrastructure documentation (storage, network, services setup).

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