* 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
When the daemon is already running, ensure_running() calls _register_profile()
with a config dict using short keys (llm_api_key, llm_provider, etc.) that do
not match the HINDSIGHT_API_* prefix filter. This caused api_config to always
be empty, and create_profile() would overwrite the existing .env with an empty
file on every CLI command.
Add an early return guard so _register_profile() skips the create_profile()
call when api_config is empty, preserving any existing profile configuration.
Fixes#894
* fix(embed): clear stale daemon on port before starting new one (#843)
When `uvx hindsight-embed@latest` resolves to a new version, the old
daemon may still be bound to the port, causing EADDRINUSE. Before
starting a daemon, check if the port is occupied, verify it's a
hindsight process via /health, and SIGTERM it if so.
* chore: remove unused signal import from test
* refactor: use cross-platform port check instead of lsof-only
Use socket for port check (works on all platforms), extract PID lookup
into a helper with Windows (netstat) and Unix (lsof) paths, and
extract kill logic into a testable static method.
* refactor: reuse cross-platform helpers in stop() and stop_ui()
* feat(embed): add programmatic UI (control plane) management
Add ability to start/stop the web UI from hindsight-embed, with
configurable port (default: daemon_port + 10000) and hostname
(default: 0.0.0.0). Uses npx to run the published control plane
package, or node directly in dev mode.
New CLI commands:
hindsight-embed ui start [--port PORT] [--hostname HOST]
hindsight-embed ui stop [--port PORT]
hindsight-embed ui status [--port PORT]
hindsight-embed ui logs [-f] [-n N]
New programmatic API:
daemon_client.start_ui(profile, ui_port, hostname)
daemon_client.stop_ui(profile, ui_port)
daemon_client.is_ui_running(profile, ui_port)
daemon_client.get_ui_url(profile, ui_port)
* feat(embed): expose UI management on HindsightEmbedded
Add start_ui(), stop_ui(), is_ui_running(), and ui_url property
to HindsightEmbedded so the UI can be started programmatically:
client = HindsightEmbedded(profile="myapp", ...)
client.start_ui() # starts daemon + UI
print(client.ui_url)
* feat: introduce hindsight-api-slim and hindsight-all-slim packages
Closes#552
- Move all source code from hindsight-api/ to new hindsight-api-slim/
- hindsight-api-slim has heavy ML deps (torch, sentence-transformers,
transformers, einops, flashrank, mlx, mlx-lm, safetensors) and
pg0-embedded as optional extras: [local-ml], [embedded-db], [all]
- hindsight-api becomes a zero-code meta-package depending on
hindsight-api-slim[all] for full backward compatibility
- Add hindsight-all-slim meta-package: hindsight-api-slim + client + embed
- hindsight-all updated to depend on hindsight-api-slim[all]
- pg0.py: lazy-import pg0 with clear ImportError pointing to [embedded-db]
- Dockerfile: replace sed hack with proper uv sync --extra flags
- Update release.yml, test.yml, lint.sh, release.sh, CLAUDE.md and
all path references throughout the repo
* refactor: rename hindsight/ directory to hindsight-all/
* docs: document hindsight-api-slim and hindsight-all-slim package variants
Add package variants table and extras explanation to installation.md
* docs: remove emojis from installation.md, use professional tone
* docs: link Docker slim variant to pip package variants section
* docs: consolidate Docker image variants into single table
* ci: fix working-directory paths after package restructure
- Replace all hindsight-api → hindsight-api-slim in test.yml
- Replace hindsight → hindsight-all in test.yml
- Add --extra embedded-db to test-embed API install step
* ci: add local-ml and embedded-db extras to API sync steps
These extras were previously implicit in the old hindsight-api package
(which bundled everything). Now that hindsight-api-slim uses optional
extras, we must explicitly request local-ml and embedded-db in CI.
* ci: add API install step with embedded-db to test-embed smoke test
The smoke test starts hindsight-api as a daemon, which requires pg0-embedded.
Add a dedicated install step for hindsight-api-slim with embedded-db extra
so the daemon can start successfully.
* ci: remove --no-install-project when using optional extras
When --no-install-project is combined with --extra, the optional deps
are not installed because extras require the project to be active.
Remove --no-install-project from steps that need local-ml or embedded-db.
* ci: fix ordering of uv sync steps to preserve optional extras
When uv sync runs for a different workspace member, it removes optional
extras installed for other members. Fix by always running extra-requiring
API sync last, after other workspace member syncs.
Also remove --no-install-project from embedded-db sync in test-embed,
as --no-install-project prevents optional extras from being active.
* ci: add local-ml extra to test-embed API install for smoke test
The smoke test starts the full API server which needs sentence-transformers
for local embeddings (default provider). Add local-ml extra to the install.
* ci: simplify extras with --all-extras and add slim pip smoke test
- Replace explicit --extra local-ml --extra embedded-db with --all-extras
for cleaner, more maintainable sync steps
- Add test-pip-slim job: tests hindsight-api-slim[embedded-db] without
local ML models, using Cohere for embeddings/reranking (mirrors Docker
slim smoke test approach)
* ci: simplify slim smoke test to health check only (mirrors Docker test)
When HindsightEmbedded(profile="myapp") starts a daemon, the profile
was never written to metadata.json or given a .env file, making it
invisible to `hindsight-embed profile list` and other CLI commands.
Add _register_profile() to DaemonEmbedManager which saves HINDSIGHT_API_*
config to ~/.hindsight/profiles/{name}.env and registers the port in
metadata.json. Called after a successful new daemon start and when the
daemon is already running, so orphaned profiles also get registered on
next use.
