tobi/qmd v2.5.1

on GitHub

[2.5.1] - 2026-05-20

Changes

• Release: publish from GitHub Actions via npm Trusted Publishing/OIDC instead of a long-lived NPM_TOKEN secret.

[2.5.0] - 2026-05-19

Changes

• Dependencies: update core SQLite/config/chunking packages (better-sqlite3, yaml, web-tree-sitter, tree-sitter-go, and tree-sitter-python) while keeping incompatible zod, tsx, and vitest majors pinned.
• Agent skills: add qmd skills list|get|path to serve version-matched runtime skill instructions from the installed CLI, and make qmd skill install write a stable discovery stub so installed agent skills do not go stale after QMD upgrades.
• CLI: add qmd doctor for index/runtime diagnostics, including SQLite/sqlite-vec versions, embedding fingerprint freshness, mixed-fingerprint detection, safe legacy fingerprint adoption, and content-hash sampling.

Fixes

• Launcher: prefer runnable TypeScript source in git checkouts even when ignored dist/ artifacts exist, while packaged installs continue to run dist/.

• GPU: keep node-llama-cpp's documented gpu: "auto" initialization as the primary path, then perform no-build packaged CUDA/Vulkan/Metal probes only if auto falls back to CPU.

• CLI: move GPU/CPU runtime diagnostics out of qmd status; use qmd doctor for device probing and related environment guidance.

• CLI: point unexpected command/setup failures toward qmd doctor so diagnostics are the default next step when QMD behaves incorrectly.

• Doctor: explicitly warn when content_vectors contains multiple non-empty embedding fingerprint names, with the per-fingerprint document/chunk breakdown.

• Embed: make the TTY progress line label byte-based input progress explicitly, show embedded chunks as a count, and shorten the displayed model name.

• Embed: retain per-chunk failure details, retry failed chunks after later successful embeds and again when no other chunks remain, clear recovered errors, and cap retries to avoid endless loops.

• Tests: expand the container smoke harness to cover npm-global, npx-style, and Bun-global install scenarios, always checking auto and QMD_FORCE_CPU=1 doctor modes, with opt-in tiny qmd embed and GPU probe runs for supported container runtimes.

• Embedding: fingerprint vector metadata using the active embedding model and formatting/chunking parameters so stale vectors are treated as pending after search semantics change. Legacy content_vectors columns are migrated lazily on first vector-health/write use to preserve fast QMD startup.

• Skill: expand the packaged QMD skill with retrieval-first workflows, structured query examples, wiki/source collection guidance, and safe fallbacks when model-backed search is unavailable.

• Tests: make bun run test execute the local unit suite under both Node/Vitest and Bun (test:node + test:bun) so runtime-specific regressions are caught before CI.

• Model config: centralize embedding/rerank/generation model resolution so qmd embed, status, query, vsearch, pull, SDK vector search, and bench use the same active .qmd/index.yaml model hints and environment fallbacks.

• GPU/status: qmd status now uses the same embedding model identity as qmd embed when computing pending embeddings, so URI-backed embeddings are not incorrectly reported as pending under the legacy embeddinggemma alias.

• GPU status: qmd status now always shows GPU mode/configuration without unsafe native probing, and CPU-fallback warnings point to QMD_STATUS_DEVICE_PROBE=1 qmd status for an actual backend probe. The no-GPU warning is emitted once per process instead of once per LLM instance during benchmarks.

• GPU: add QMD_FORCE_CPU=1 / --no-gpu to bypass CUDA/Vulkan/Metal probing entirely, and route native llama.cpp stdout noise to stderr so JSON output stays parseable during search/query commands.

• Snippet line numbers: qmd_query (MCP), HTTP /query, and qmd query
  (CLI JSON output and snippet headers) now return absolute source-file
  line numbers instead of chunk-local ones, so the line field can be
  passed back to qmd_get as fromLine without a separate lookup.
  Snippet selection remains scoped to the best matching chunk
  (preserves #149).

• CLI: qmd query --full now emits the full document body in all output
  formats (json, csv, md, xml), restoring the documented behavior of the
  flag. Previously it returned only the best matching chunk (~3.6KB max
  per result). Output payload for --full queries is now proportional
  to total document size.

• macOS Metal: qmd query --json now flushes successful JSON output and uses a safe immediate-exit path on Darwin to avoid ggml Metal finalizer aborts; other commands still dispose LLM contexts/models before the llama runtime. #368

• Embedding: require complete chunk coverage before treating a document as
  embedded, remove partial vectors when chunk/session failures leave a
  document incomplete, and keep qmd status pending counts honest after
  interrupted long embed runs. #637 #378

• Embedding: qmd embed -c <collection> now scopes pending-doc selection
  to the requested collection instead of embedding global pending work.
  Scoped --force clears only collection-owned vectors, preserves shared
  hashes referenced by sibling collections, and drops vectors_vec only
  when the scoped clear empties all vectors.

• Hybrid search: weight RRF lists by query type so original FTS and original vector evidence get the intended 2x boost, instead of accidentally boosting the first lexical expansion. #591

• MCP: seed llama.cpp/GGML quiet env vars before launching qmd mcp so native logs cannot pollute stdio JSON-RPC framing. #593

• CLI: remove CommonJS require() calls from ESM index path normalization so qmd --index <path> no longer crashes with ERR_AMBIGUOUS_MODULE_SYNTAX on Node 22+. #634

• Windows CUDA: serialize llama.cpp embedding/reranking contexts by default to avoid intermittent ggml-cuda.cu:98 crashes in qmd query; set QMD_EMBED_PARALLELISM to opt back into parallel contexts if your driver is stable. #519

• MCP: make qmd mcp --index <name> use the selected index for both foreground and daemon HTTP servers instead of falling back to the default store. #343

• Embedding: respect QMD_EMBED_MODEL consistently for vector indexing and vector-backed search, with default-model fallback when unset.

• Config: use one home-directory resolver for YAML config and the default SQLite cache path, avoiding Windows CLI/MCP split-brain when HOME is unset.

• GPU: respect explicit QMD_LLAMA_GPU=metal|vulkan|cuda backend overrides instead of always using auto GPU selection. #529

• Fix: preserve original filename case in handelize(). The previous
  .toLowerCase() call made indexed paths unreachable on case-sensitive
  filesystems (Linux). qmd update automatically migrates legacy
  lowercase paths without re-embedding.

• CLI: make qmd status skip native node-llama-cpp device probing by
  default so status stays safe on machines with broken or unsupported GPU
  drivers. Set QMD_STATUS_DEVICE_PROBE=1 to opt in.

• CLI: lazy-load node-llama-cpp so lightweight commands such as
  qmd status do not import native ML dependencies or trigger llama.cpp
  builds on ARM/no-GPU machines. #491

• Store: keep content rows referenced by inactive documents during orphan
  cleanup so qmd update preserves soft-deleted tombstones for removed
  files. #585

• Packaging: install AST grammar WASM packages as required dependencies so
  Bun global installs include TypeScript/TSX/JavaScript grammars, and add a
  smoke:package-grammars verification command. #595

• Launcher: add wrapper smoke coverage for scoped package, npm/npx,
  Homebrew/Linuxbrew, Bun global symlink layouts, and $BUN_INSTALL
  false-positive runtime selection regressions. #351 #353 #354 #356 #358 #359