* docs: add best practice for filtering recall by memory shape (#856)
Add guidance on using entity labels with `tag: true` to deterministically
filter recall results when a bank contains different memory shapes
(e.g., concise rules vs. detailed procedures).
* feat: add OpenRouter support for LLM, embeddings, and reranking
OpenRouter is OpenAI-compatible for chat/embeddings and Cohere-compatible
for reranking, so no new provider classes are needed.
- LLM: added as OpenAICompatibleLLM provider (default model: qwen/qwen3.5-9b)
- Embeddings: reuses OpenAIEmbeddings with OpenRouter base URL (default: perplexity/pplx-embed-v1-0.6b)
- Reranker: reuses CohereCrossEncoder with OpenRouter rerank endpoint (default: cohere/rerank-v3.5)
- API key fallback chain: dedicated key → shared OPENROUTER_API_KEY → LLM_API_KEY
* chore: regenerate docs skill references and fix formatting
* fix: make LiteLLM SDK embeddings encoding_format configurable (#925)
The hardcoded encoding_format='float' breaks providers like Voyage AI
(only accepts 'base64') and Gemini (doesn't support the parameter at all).
Add HINDSIGHT_API_EMBEDDINGS_LITELLM_SDK_ENCODING_FORMAT config option
that defaults to 'float' for backwards compatibility. Set to empty string
to omit the parameter for incompatible providers.
* chore: regenerate docs skill after configuration change
* feat: add optional LiteLLM SDK embedding output dimensions
Allow configuring an optional output dimension for litellm-sdk embeddings and pass it through only when set, while preserving default behavior.
Made-with: Cursor
* test: assert wrapped init error for invalid dimensions
Add a LiteLLM SDK embeddings test that verifies invalid OpenAI dimensions fail during initialize() and preserve provider error details in the wrapped RuntimeError.
Made-with: Cursor
* fix: parse query params from base_url in OpenAI embeddings client
The OpenAI-compatible LLM provider already parses query parameters
(e.g. ?api-version=xxx for Azure OpenAI) from the base_url and passes
them as default_query to the OpenAI client. However, the OpenAI
embeddings provider did not do this, causing Azure OpenAI embeddings
to fail with 404 errors at runtime.
This applies the same URL parsing logic from the LLM provider to the
embeddings provider, enabling Azure OpenAI embeddings to work correctly.
* ci: add workflow to build fork Docker image
* ci: add slim image build (no local models)
* ci: remove fork build workflow per review request
---------
Co-authored-by: Antoine Khater <ak@ptgroup.eu>
* 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)
2026-03-13 13:50:03 +01:00
Renamed from hindsight-api/hindsight_api/engine/embeddings.py (Browse further)
