* feat: add built-in llama.cpp LLM provider for fully local inference Add `llamacpp` as a new LLM provider that manages a llama-cpp-python server subprocess. Auto-downloads Gemma 4 E2B Q4_K_M (~3.5 GB) on first use and runs inference locally via Metal/CUDA with no external services needed. - New provider: `HINDSIGHT_API_LLM_PROVIDER=llamacpp` - Singleton server shared across retain/reflect/consolidation - Configurable: model path, GPU layers, context size, grammar enforcement - User-extensible via `HINDSIGHT_API_LLAMACPP_EXTRA_ARGS` - Flash attention + prompt caching enabled by default - LLM provider cleanup on shutdown (stops subprocess) - hindsight-embed: `--ui` flag on `daemon start`, removed FORCE_CPU on macOS - Docs: configuration.md, models.mdx, providers grid updated * chore: regenerate docs skill and update lockfile for local-llm dep |
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Website
This website is built using Docusaurus, a modern static website generator.
Installation
npm install
Local Development
npm start
This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.
Build
npm run build
This command generates static content into the build directory and can be served using any static contents hosting service.
Deployment
Using SSH:
USE_SSH=true npm run deploy
Not using SSH:
GIT_USER=<Your GitHub username> npm run deploy
If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the gh-pages branch.