Integration regression test for #910: the tags= parameter and the
tag:alpha,beta query shorthand must return the same results for the
same comma string.
Cherry-picked from #918. The validator swap itself (coerce_list ->
parse_tags) landed separately via #932; this carries the remaining
test-only piece with original authorship.
Signed-off-by: K Jagadeeswara Reddy <social@jagadeeswar.com>
Covers the required BM Bossbot Approval status, exact-head-SHA behavior,
Tests-before-Bossbot sequencing, review-thread gating (unresolved threads
block approval; resolution restores it for the same head SHA), the PR
image's content-not-verdict theming, managed PR body blocks, the
companion Codex skills, and troubleshooting.
Signed-off-by: phernandez <paul@basicmachines.co>
Disable the silently-on semantic embedding stack in default test fixtures and deselect on-demand benchmarks from CI int jobs. int SQLite 337s -> 110s, Postgres unit ~25min -> ~13min.
Signed-off-by: phernandez <paul@basicmemory.com>
Adds additive, git-style `bm cloud push`/`pull` that are safe on shared Team workspaces (never delete on the destination; conflicts abort by default with `--on-conflict {fail|keep-local|keep-cloud|keep-both}`), and gates the destructive `bm cloud sync`/`bisync` mirrors to Personal workspaces. Closes#858. Longer-term Team-safe reconciler tracked in #862; workspace-scoped mount info (Codex P1) tracked as a follow-up.
L2-normalizes FastEmbed output vectors at the provider boundary so SQLite vector scoring keeps its unit-vector contract for custom FastEmbed models such as multilingual MiniLM variants.
Zero vectors are preserved as-is to avoid division errors, and the provider tests cover both non-unit vectors and zero-vector behavior.
Verification:
- uv run pytest tests/repository/test_fastembed_provider.py -q
- uv run ruff check src/basic_memory/repository/fastembed_provider.py tests/repository/test_fastembed_provider.py
- uv run ruff format --check src/basic_memory/repository/fastembed_provider.py tests/repository/test_fastembed_provider.py
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Signed-off-by: tk-pkm111 <133480534+tk-pkm111@users.noreply.github.com>
Signed-off-by: phernandez <paul@basicmachines.co>
Adds LiteLLM as a semantic embedding provider, including provider configuration, vector normalization, live-provider evaluation tooling, and documentation for OpenAI, Cohere, Azure Foundry, Azure OpenAI, and NVIDIA NIM-style cases.
Maintainer follow-up on this PR added provider hardening, asymmetric document/query embedding support, dimension-forwarding controls, SQLite/Postgres vector invalidation coverage, and the repeatable live LiteLLM harness.
Verification:
- Full base-repo Tests workflow passed for 3d4e092ceb: https://github.com/basicmachines-co/basic-memory/actions/runs/27072071785
- Live LiteLLM harness passed locally for OpenAI, Cohere, and Azure Foundry.
Co-authored-by: Aarish Alam <arishalam121@gmail.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Signed-off-by: RheagalFire <arishalam121@gmail.com>
Signed-off-by: phernandez <paul@basicmachines.co>
Paul Hernandez