Compare commits

..

2 Commits

Author SHA1 Message Date
copilot-swe-agent[bot]
20854bc000 fix(llama-cpp): track upstream rename checkpoint_every_nt -> checkpoint_min_step
Agent-Logs-Url: https://github.com/mudler/LocalAI/sessions/f8d7e7db-85d0-42e1-89dc-08222d3aace3

Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-05-25 21:46:54 +00:00
copilot-swe-agent[bot]
806de27ae7 Initial plan 2026-05-25 21:34:09 +00:00
826 changed files with 8344 additions and 64591 deletions

View File

@@ -15,35 +15,3 @@ Let's say the user wants to build a particular backend for a given platform. For
- Unless the user specifies that they want you to run the command, then just print it because not all agent frontends handle long running jobs well and the output may overflow your context
- The user may say they want to build AMD or ROCM instead of hipblas, or Intel instead of SYCL or NVIDIA insted of l4t or cublas. Ask for confirmation if there is ambiguity.
- Sometimes the user may need extra parameters to be added to `docker build` (e.g. `--platform` for cross-platform builds or `--progress` to view the full logs), in which case you can generate the `docker build` command directly.
## Test coverage gate
The core Go suites (`./pkg`, `./core`, plus the in-process integration suite `./tests/e2e`) are covered by a **strict, monotonic coverage ratchet**:
- `make test-coverage` — runs the suites with `covermode=atomic` instrumentation and writes a merged profile to `coverage/coverage.out`. Uses the same prerequisites as `make test`.
- **`--coverpkg` (`COVERAGE_COVERPKG = core/...,pkg/...`):** coverage is attributed to the core+pkg packages, not just the package under test. This is what lets the in-process `tests/e2e` suite (which drives the real HTTP server over loopback via `application.New`) credit the `core/http/endpoints/...` handlers it exercises — folding it in roughly doubled endpoint coverage (e.g. `endpoints/openai` 13.6% → 52%). The denominator is therefore *all* of `core`+`pkg` (minus generated proto, dropped via `COVERAGE_EXCLUDE_RE`), so the number isn't comparable to a plain per-package figure.
- **Integration suites (`COVERAGE_E2E_ROOTS = ./tests/e2e`)** run non-recursively (excludes `tests/e2e/distributed`, which needs containers) with `--label-filter=!real-models` (those need a downloaded model) against the mock backend built by `prepare-test`. `tests/integration` is deliberately excluded — it needs `make backends/local-store`, which the coverage CI job doesn't build.
- **Flake note:** folding integration tests into a *strict* gate means a hard e2e failure (or a spec that silently stops running) can fail the coverage gate, not just the test. `--flake-attempts` absorbs transient retryable failures; covermode=atomic keeps line coverage deterministic otherwise.
- **Why one ginkgo run per root (`scripts/run-coverage.sh`):** passing several recursive roots to a *single* ginkgo invocation (e.g. `ginkgo -r ./pkg ./core`) only merges **one** root's coverprofile into `--output-dir`/`--coverprofile` — the others are silently dropped. Verified with ginkgo 2.29.0: `-r ./pkg ./core` yields only `./pkg` coverage, while `-r ./core` alone yields all 34 core packages. So the script runs each root separately and concatenates the (disjoint) profiles. Don't "simplify" it back to a single multi-root invocation — that's how `core/` (including all of `core/http`, ~7.4k statements) silently vanished from the number before.
- **Build tags (`COVERAGE_TAGS`, passed via `GINKGO_TAGS`):** defaults to `debug auth`. The `auth` tag is required to compile the real (sqlite-backed) auth implementation and its ~150 `//go:build auth` tests — without it those files aren't built, the tests don't run, and the gate scores auth against a stub (~3.7% instead of ~38%). If you add new tag-gated tests, extend `COVERAGE_TAGS` or they won't count (and likely won't run in CI at all).
- `make test-coverage-check` — runs `test-coverage`, then `scripts/coverage-check.sh` fails the build if total coverage is **below** the committed baseline in `coverage-baseline.txt`. The Linux job in `.github/workflows/test.yml` runs this instead of `make test`.
- `make test-coverage-baseline` — regenerates and overwrites `coverage-baseline.txt` from the current run.
- `make install-hooks` — sets `core.hooksPath` to the versioned `.githooks/`, whose `pre-commit` runs checks scoped to what's staged: Go changes → `make lint` + `make test-coverage-check`; `core/http/react-ui/` changes → `make test-ui-coverage-check` (Playwright e2e + UI coverage gate). A commit touching neither is skipped; bypass with `git commit --no-verify`. The hook resolves golangci-lint's new-from base to `upstream/master``origin/master``master`, so it works from a fork clone where `origin/master` is stale (passed to `make lint` via `LINT_NEW_FROM`).
### React UI coverage
The React UI (`core/http/react-ui/`) has **no component/unit tests** — its only tests are the Playwright e2e specs in `e2e/`, which run against the real app served by `tests/e2e-ui/ui-test-server` (the dist is `//go:embed`ed, so the server is rebuilt per coverage run). Those specs do genuinely exercise the UI (clicks, `fill`, `setInputFiles`, `getByRole`/`getByText`, visibility/value assertions).
- `make test-ui-coverage` — builds an istanbul-instrumented bundle (`COVERAGE=true`, via `vite-plugin-istanbul` with `forceBuildInstrument: true` — the plugin skips production builds otherwise), re-embeds it into `ui-test-server` (the dist is `//go:embed`ed), runs the Playwright specs, and writes an `nyc` report to `core/http/react-ui/coverage/`. The specs import `{ test, expect }` from `e2e/coverage-fixtures.js` (re-exports Playwright's, plus harvests `window.__coverage__` into `.nyc_output/` after each test). Instrumentation is off unless `COVERAGE=true`, so dev/prod builds and plain `make test-ui-e2e` are unaffected (the fixture no-ops when `window.__coverage__` is absent).
- **Browser:** the flake dev shell ships `chromium` and exports `PLAYWRIGHT_CHROMIUM_PATH`; `playwright.config.js` uses it via `launchOptions.executablePath`, and the Makefile skips `playwright install` when it's set. This avoids Playwright's downloaded browser, which can't resolve system libs (`libglib-2.0`, …) on NixOS. In CI (no `PLAYWRIGHT_CHROMIUM_PATH`) the Makefile falls back to `playwright install --with-deps chromium`.
- The app is a React SPA, so coverage accumulates across in-app navigation within a test; a full `page.goto`/reload resets it.
- `.nycrc.json` uses `all: true`, so **every `src/**` file is in the report**, including 0%-coverage ones — that's how you spot features with no test at all (sort the HTML report or `coverage-summary.json` by line% ascending).
- **UI coverage gate:** `make test-ui-coverage-check` runs the suite then `scripts/ui-coverage-check.sh`, failing if total line coverage drops more than `UI_COVERAGE_TOLERANCE` below `core/http/react-ui/coverage-baseline.txt`. `make test-ui-coverage-baseline` regenerates the baseline. Runs in CI (`tests-ui-e2e.yml`) and pre-commit on `core/http/react-ui/` changes.
- **Why it has a tolerance (unlike the strict Go gate):** UI e2e coverage is *non-deterministic*. Specs that assert on state and end while async/lazy render work is still in flight collect those lines only when the render beats the coverage teardown — so the total drifts with machine speed/load (a fast local box reads higher than a slow CI runner), diffusely across many specs. The tolerance absorbs that drift, so set the baseline *below* the slow-CI floor, never to a fast-local `make test-ui-coverage-baseline` number, or CI flaps.
- **Raising coverage is cheap:** a *render-smoke* spec (navigate to a route, assert its header renders) mounts a lazy page and runs its full render + initial effects, capturing most of its lines in a few lines of test — see `e2e/page-render-smoke.spec.js`. Auth is disabled in the test server (`isAdmin=true`), so `RequireAdmin`/`RequireFeature` routes render without a mock. The most *deterministic* win is removing a race: make a spec `await` a rendered element before ending (see `e2e/agents.spec.js` → AgentCreate) so its lines count every run.
Rules (both gates):
- **Install the hooks:** `make install-hooks` once per clone so lint + coverage run pre-commit. Don't lean on CI for what the hook catches.
- **Don't work around the gate:** never `git commit --no-verify`, and never hand-lower a baseline or widen a tolerance to turn a red gate green. The ratchet only moves up.
- If a change drops coverage, **add tests** (sort `coverage-summary.json` by line% ascending to find untested code) rather than editing the baseline. When coverage legitimately rises, commit the regenerated baseline (`make test-coverage-baseline` / `test-ui-coverage-baseline`).
- The Go gate is **strict — no tolerance**; `covermode=atomic` keeps it deterministic. The UI gate keeps a small tolerance only because its e2e coverage isn't.

View File

@@ -50,17 +50,6 @@ Do not mix styles within a package. If you are extending tests in a package that
This is enforced by `golangci-lint` via the `forbidigo` linter (see `.golangci.yml`); calls like `t.Errorf` / `t.Fatalf` / `t.Run` / `t.Skip` / `t.Logf` are flagged. Run `make lint` locally before submitting; the same check runs in CI (`.github/workflows/lint.yml`).
## Outbound HTTP
All outbound HTTP must go through `github.com/mudler/LocalAI/pkg/httpclient` rather than the standard library's default client. Use `httpclient.New(...)` (no body deadline — safe for streaming/SSE) or `httpclient.NewWithTimeout(d, ...)` (simple request/response). Both **refuse redirects by default** and set a TLS 1.2 floor.
The reason is GHSA-3mj3-57v2-4636: the std default client follows redirects, and on a *cross-host* redirect Go forwards custom credential headers (e.g. Anthropic's `x-api-key`) to the redirect target, leaking the secret. `httpclient` fails closed instead.
- Need to follow redirects (download CDNs, registry blobs, GitHub asset URLs)? Pass `httpclient.WithFollowRedirects()` — it still strips credential headers on any cross-host hop.
- Have a custom transport (IP-pinned dialer, HTTP/2 tuning, a credential-injecting `RoundTripper`)? Pass `httpclient.WithTransport(rt)`, basing the transport on `httpclient.HardenedTransport()` to keep the TLS floor. Handed a `*http.Client` by a library? `httpclient.Harden(c)` applies the policy in place.
This is enforced by `forbidigo` (see `.golangci.yml`): `http.DefaultClient` and `http.Get`/`Post`/`PostForm`/`Head` are flagged. The `&http.Client{}` composite literal can't be matched precisely by forbidigo without also flagging legitimate `*http.Client` type references, so that form is caught by review — don't construct raw clients.
## Documentation
The project documentation is located in `docs/content`. When adding new features or changing existing functionality, it is crucial to update the documentation to reflect these changes. This helps users understand how to use the new capabilities and ensures the documentation stays relevant.

View File

@@ -44,39 +44,6 @@ maps to `DS4_THINK_HIGH`. We pass the chosen mode to `ds4_chat_append_assistant_
via `ModelOptions.Options[] = "kv_cache_dir:/some/path"`. Format is **our own** -
NOT bit-compatible with ds4-server's KVC files (interop is a follow-up plan).
## Engine options (LoadModel)
`LoadModel` maps `ModelOptions.Options[]` (`"key:value"`, from model-YAML
`options:`) onto `ds4_engine_options` through a **declarative table**
(`kEngineOptSpecs` + `apply_engine_option` in `grpc-server.cpp`). The struct is
plain C with no reflection, so the field set is enumerated once in the table;
adding a future engine knob is a one-line table row, not a new branch. Unknown
keys are ignored (back-compat). A bare flag (`ssd_streaming` with no value)
means `true`. Path-type values (`mtp_path`, `expert_profile_path`,
`directional_steering_file`) resolve **relative to the model directory**, so a
gallery entry can reference a companion file it downloaded by bare filename;
absolute values pass through. `ds4_role` / `ds4_layers` / `ds4_listen` /
`ds4_route_timeout` / `kv_cache_dir` keep their dedicated handling (validation
+ coordinator wiring) and are not in the table.
Wired keys: `mtp_path`, `mtp_draft`, `mtp_margin`, `prefill_chunk`,
`power_percent`, `warm_weights`, `quality`, `ssd_streaming`,
`ssd_streaming_cold`, `ssd_streaming_preload_experts`,
`ssd_streaming_cache_experts` (count or `NGB`, sets both experts+bytes via
`ds4_parse_streaming_cache_experts_arg`), `simulate_used_memory` (`NGB` via
`ds4_parse_gib_arg`), `expert_profile_path`, `directional_steering_file`,
`directional_steering_attn`, `directional_steering_ffn`.
## SSD streaming (running models larger than RAM)
ds4's **SSD streaming** keeps non-routed weights resident and streams routed MoE
experts from the GGUF on cache misses, turning "does it fit in RAM" into a speed
spectrum. **Metal (Darwin) only** - it is a no-op on CUDA/CPU. Enable with
`options: ["ssd_streaming"]`; size the routed-expert cache with
`ssd_streaming_cache_experts:NGB` (omit for ds4's automatic 80%-of-working-set
budget). Gallery entries built on this: `deepseek-v4-flash-q4-ssd` (153 GB Flash
on a 128 GB Mac) and `deepseek-v4-pro-q2-ssd` (433 GB Pro, experimental).
## Build matrix
| Build | Where | Notes |
@@ -101,34 +68,6 @@ go test -count=1 -timeout=30m -v ./tests/e2e-backends/...
CI does not load the model; the suite is opt-in via env vars.
## Distributed mode
ds4 supports **layer-split** distributed inference (a model too big for one host,
split by transformer layer; the GGUF must be present on every machine, each loads
only its slice). Topology is **inverted** vs llama.cpp: the coordinator listens,
workers dial in.
- **`ds4-worker` binary**: built and packaged next to `grpc-server` (`package.sh`
copies it into `package/`). Links the same engine objects plus `ds4_distributed.o`;
**no gRPC/protobuf dependency** (speaks ds4's own TCP transport), so it builds
even where `grpc-server` can't. Runs the worker serving loop (`ds4_dist_run`).
- **Coordinator wiring**: the ds4 `grpc-server` acts as coordinator when `LoadModel`
`ModelOptions.Options` (from model-YAML `options:`) carry:
- `ds4_role:coordinator` (enables distributed mode; absent → single-node, back-compat)
- `ds4_layers:0:19` (coordinator's own slice, inclusive; `N:output` includes the head)
- `ds4_listen:0.0.0.0:1234` (address workers dial into)
- `ds4_route_timeout:60` (optional; seconds Predict/PredictStream wait for the route
to form before returning gRPC `UNAVAILABLE`; default 60)
- **Worker CLI**: `local-ai worker ds4-distributed -- <ds4-worker args>` resolves the
ds4 backend and execs the packaged `ds4-worker` (raw passthrough), e.g.
`--role worker --model /models/ds4flash.gguf --layers 20:output --coordinator <host> 1234`.
Opt-in e2e in `tests/e2e-backends/backend_test.go`, gated by
`BACKEND_TEST_DS4_DISTRIBUTED=1` (plus `BACKEND_TEST_DS4_WORKER_BINARY`,
`BACKEND_TEST_DS4_WORKER_LAYERS`, `BACKEND_TEST_DS4_COORDINATOR_LAYERS`,
`BACKEND_TEST_DS4_LISTEN`). Design spec:
`docs/superpowers/specs/2026-05-30-ds4-distributed-inference-design.md`.
## Importer
`core/gallery/importers/ds4.go` (`DS4Importer`) auto-detects ds4 weights by

View File

@@ -30,28 +30,3 @@ backend/python/**/source
# up compiled against whatever (likely older) commit the host had.
backend/cpp/llama-cpp/llama.cpp
backend/cpp/llama-cpp-*-build
# privacy-filter: same in-place pattern. The Makefile fetches privacy-filter.cpp
# at the pinned commit (or symlinks a PRIVACY_FILTER_SRC checkout for local dev).
# A stale dir/symlink COPY'd into the image makes the clone step fail (dangling
# symlink) or compile against the wrong commit, so keep host build state out.
backend/cpp/privacy-filter/privacy-filter.cpp
backend/cpp/privacy-filter/build
backend/cpp/privacy-filter/grpc-server
backend/cpp/privacy-filter/package
# Rust backend build output (sources are tracked; target/ is generated)
backend/rust/*/target
# Local-only artifacts that bloat the build context but the image never needs.
# Saved image tarballs, locally-installed backends, the host-built binary, and
# assorted tool/scratch dirs. None of these are git-tracked.
backend-images
local-backends
local-ai
.crush
protoc
tests
# Installed via npm inside the build stage; no need to ship the host copy.
**/node_modules

View File

@@ -1,60 +0,0 @@
#!/usr/bin/env sh
#
# LocalAI pre-commit hook. Install it (once per clone) with:
#
# make install-hooks
#
# Runs only the checks relevant to what's staged:
# - Go files -> make lint + make test-coverage-check
# - core/http/react-ui -> make test-ui-coverage-check (Playwright e2e + gate)
# A commit touching neither is skipped entirely (docs/YAML/etc. can't change
# lint findings, Go coverage, or the UI).
#
# To bypass for a single commit (e.g. a WIP checkpoint): git commit --no-verify
set -eu
repo_root="$(git rev-parse --show-toplevel)"
cd "$repo_root"
staged="$(git diff --cached --name-only --diff-filter=ACMRD)"
go_changed=0
ui_changed=0
if echo "$staged" | grep -qE '\.go$'; then go_changed=1; fi
if echo "$staged" | grep -qE '^core/http/react-ui/'; then ui_changed=1; fi
if [ "$go_changed" -eq 0 ] && [ "$ui_changed" -eq 0 ]; then
echo "pre-commit: no Go or React UI changes staged — skipping."
exit 0
fi
if [ "$go_changed" -eq 1 ]; then
# Resolve the ref golangci-lint's new-from-merge-base should compare
# against. .golangci.yml pins origin/master, which is correct in CI
# (origin == the canonical repo) but wrong from a fork clone, where
# origin/master lags behind and lint would report the whole upstream
# backlog. Prefer upstream/master, then origin/master, then master.
lint_base=""
for ref in upstream/master origin/master master; do
if git rev-parse --verify --quiet "${ref}^{commit}" >/dev/null 2>&1; then
lint_base="$ref"
break
fi
done
echo "pre-commit ▶ golangci-lint (make lint${lint_base:+, new-from $lint_base})"
make lint LINT_NEW_FROM="$lint_base"
echo "pre-commit ▶ coverage gate (make test-coverage-check) — builds and runs the"
echo " pkg/core suites plus tests/e2e; can take a few minutes."
make test-coverage-check
fi
if [ "$ui_changed" -eq 1 ]; then
echo "pre-commit ▶ React UI e2e + coverage gate (make test-ui-coverage-check) —"
echo " rebuilds the UI + ui-test-server, runs the Playwright specs, and"
echo " fails if line coverage regressed; can take a couple of minutes."
make test-ui-coverage-check
fi
echo "pre-commit ✓ all relevant checks passed"

View File

File diff suppressed because it is too large Load Diff

View File

@@ -3,7 +3,6 @@ package main
import (
"context"
"encoding/json"
"errors"
"fmt"
"os"
"strconv"
@@ -114,17 +113,6 @@ func main() {
fmt.Println("Searching for trending models on HuggingFace...")
rawModels, err := client.GetTrending(searchTerm, limit)
if err != nil {
if errors.Is(err, hfapi.ErrRateLimited) {
fmt.Printf("HuggingFace API is rate limited after retries, skipping this run: %v\n", err)
writeSummary(AddedModelSummary{
SearchTerm: searchTerm,
TotalFound: 0,
ModelsAdded: 0,
Quantization: quantization,
ProcessingTime: time.Since(startTime).String(),
})
return
}
fmt.Fprintf(os.Stderr, "Error fetching models: %v\n", err)
os.Exit(1)
}
@@ -289,3 +277,4 @@ func truncateString(s string, maxLen int) string {
}
return s[:maxLen] + "..."
}

View File

@@ -98,7 +98,6 @@ jobs:
/opt/homebrew/Cellar/hiredis
/opt/homebrew/Cellar/xxhash
/opt/homebrew/Cellar/zstd
/opt/homebrew/Cellar/nlohmann-json
key: brew-${{ runner.os }}-${{ runner.arch }}-v1-${{ hashFiles('.github/workflows/backend_build_darwin.yml') }}
- name: Dependencies
@@ -110,10 +109,7 @@ jobs:
# Without explicitly installing them, a brew cache-hit run restores
# ccache's Cellar dir but skips installing those transitive deps,
# and ccache fails at runtime with `dyld: Library not loaded`.
# nlohmann-json is header-only and required by the ds4 backend
# (dsml_renderer.cpp includes <nlohmann/json.hpp>); on Linux it comes
# from the apt-installed nlohmann-json3-dev in the build image.
brew install protobuf grpc make protoc-gen-go protoc-gen-go-grpc libomp llvm ccache blake3 fmt hiredis xxhash zstd nlohmann-json
brew install protobuf grpc make protoc-gen-go protoc-gen-go-grpc libomp llvm ccache blake3 fmt hiredis xxhash zstd
# Force-reinstall ccache so brew re-validates its full runtime-dep
# closure on every run. This is the durable fix: when the upstream
# ccache formula gains a new transitive dep (as it has multiple times
@@ -132,7 +128,7 @@ jobs:
# and decides "already installed" without re-linking, so on a cache-
# hit run the formulas aren't on PATH. Force-link them; --overwrite
# tolerates pre-existing symlinks from earlier installs.
brew link --overwrite protobuf grpc make protoc-gen-go protoc-gen-go-grpc libomp llvm ccache blake3 fmt hiredis xxhash zstd nlohmann-json 2>/dev/null || true
brew link --overwrite protobuf grpc make protoc-gen-go protoc-gen-go-grpc libomp llvm ccache blake3 fmt hiredis xxhash zstd 2>/dev/null || true
- name: Save Homebrew cache
if: github.event_name != 'pull_request' && steps.brew-cache.outputs.cache-hit != 'true'
@@ -152,7 +148,6 @@ jobs:
/opt/homebrew/Cellar/hiredis
/opt/homebrew/Cellar/xxhash
/opt/homebrew/Cellar/zstd
/opt/homebrew/Cellar/nlohmann-json
key: brew-${{ runner.os }}-${{ runner.arch }}-v1-${{ hashFiles('.github/workflows/backend_build_darwin.yml') }}
# ---- ccache for llama.cpp CMake builds ----

View File

@@ -26,26 +26,10 @@ jobs:
variable: "DS4_VERSION"
branch: "main"
file: "backend/cpp/ds4/Makefile"
- repository: "localai-org/privacy-filter.cpp"
variable: "PRIVACY_FILTER_VERSION"
branch: "master"
file: "backend/cpp/privacy-filter/Makefile"
- repository: "ggml-org/whisper.cpp"
variable: "WHISPER_CPP_VERSION"
branch: "master"
file: "backend/go/whisper/Makefile"
- repository: "CrispStrobe/CrispASR"
variable: "CRISPASR_VERSION"
branch: "main"
file: "backend/go/crispasr/Makefile"
- repository: "mudler/parakeet.cpp"
variable: "PARAKEET_VERSION"
branch: "master"
file: "backend/go/parakeet-cpp/Makefile"
- repository: "mudler/depth-anything.cpp"
variable: "DEPTHANYTHING_VERSION"
branch: "master"
file: "backend/go/depth-anything-cpp/Makefile"
- repository: "leejet/stable-diffusion.cpp"
variable: "STABLEDIFFUSION_GGML_VERSION"
branch: "master"
@@ -66,22 +50,10 @@ jobs:
variable: "SAM3_VERSION"
branch: "main"
file: "backend/go/sam3-cpp/Makefile"
- repository: "mudler/rf-detr.cpp"
variable: "RFDETR_VERSION"
branch: "main"
file: "backend/go/rfdetr-cpp/Makefile"
- repository: "mudler/locate-anything.cpp"
variable: "LOCATEANYTHING_VERSION"
branch: "master"
file: "backend/go/locate-anything-cpp/Makefile"
- repository: "ServeurpersoCom/qwentts.cpp"
- repository: "predict-woo/qwen3-tts.cpp"
variable: "QWEN3TTS_CPP_VERSION"
branch: "master"
branch: "main"
file: "backend/go/qwen3-tts-cpp/Makefile"
- repository: "ServeurpersoCom/omnivoice.cpp"
variable: "OMNIVOICE_VERSION"
branch: "master"
file: "backend/go/omnivoice-cpp/Makefile"
- repository: "localai-org/vibevoice.cpp"
variable: "VIBEVOICE_CPP_VERSION"
branch: "master"

View File

@@ -18,13 +18,10 @@ jobs:
if: ${{ github.actor != 'dependabot[bot]' }}
- name: Run Gosec Security Scanner
if: ${{ github.actor != 'dependabot[bot]' }}
uses: securego/gosec@v2.27.1
uses: securego/gosec@v2.22.9
with:
# we let the report trigger content trigger a failure using the GitHub Security features.
# backend/go/supertonic is excluded: it vendors upstream supertone-inc/supertonic
# (helper.go), whose findings (G304 model-file loads, G404 math/rand for flow-matching
# noise, G104 unhandled errors) are inherent to that upstream code, not ours to rewrite.
args: '-no-fail -exclude-dir=backend/go/supertonic -fmt sarif -out results.sarif ./...'
args: '-no-fail -fmt sarif -out results.sarif ./...'
- name: Upload SARIF file
if: ${{ github.actor != 'dependabot[bot]' }}
uses: github/codeql-action/upload-sarif@v4

View File

@@ -11,7 +11,7 @@ jobs:
if: github.repository == 'mudler/LocalAI'
runs-on: ubuntu-latest
steps:
- uses: actions/stale@eb5cf3af3ac0a1aa4c9c45633dd1ae542a27a899 # v9
- uses: actions/stale@b5d41d4e1d5dceea10e7104786b73624c18a190f # v9
with:
stale-issue-message: 'This issue is stale because it has been open 90 days with no activity. Remove stale label or comment or this will be closed in 5 days.'
stale-pr-message: 'This PR is stale because it has been open 90 days with no activity. Remove stale label or comment or this will be closed in 10 days.'

View File

@@ -37,8 +37,6 @@ jobs:
sglang: ${{ steps.detect.outputs.sglang }}
acestep-cpp: ${{ steps.detect.outputs.acestep-cpp }}
qwen3-tts-cpp: ${{ steps.detect.outputs.qwen3-tts-cpp }}
rfdetr-cpp: ${{ steps.detect.outputs.rfdetr-cpp }}
locate-anything-cpp: ${{ steps.detect.outputs.locate-anything-cpp }}
vibevoice-cpp: ${{ steps.detect.outputs.vibevoice-cpp }}
localvqe: ${{ steps.detect.outputs.localvqe }}
voxtral: ${{ steps.detect.outputs.voxtral }}
@@ -47,7 +45,6 @@ jobs:
speaker-recognition: ${{ steps.detect.outputs.speaker-recognition }}
sherpa-onnx: ${{ steps.detect.outputs.sherpa-onnx }}
whisper: ${{ steps.detect.outputs.whisper }}
parakeet-cpp: ${{ steps.detect.outputs.parakeet-cpp }}
steps:
- name: Checkout repository
uses: actions/checkout@v6
@@ -564,7 +561,7 @@ jobs:
- name: Run e2e-backends smoke
env:
BACKEND_IMAGE: quay.io/go-skynet/local-ai-backends:master-cpu-llama-cpp
BACKEND_TEST_CAPS: health,load,predict,stream,logprobs,logit_bias,tokenize
BACKEND_TEST_CAPS: health,load,predict,stream,logprobs,logit_bias
run: |
make test-extra-backend
# Realtime e2e with sherpa-onnx driving VAD + STT + TTS against a mocked LLM.
@@ -635,26 +632,6 @@ jobs:
- name: Build whisper backend image and run transcription gRPC e2e tests
run: |
make test-extra-backend-whisper-transcription
# Parakeet ASR via the parakeet-cpp backend (C++/ggml port of NeMo
# Parakeet). Drives AudioTranscription (offline, with word timestamps) on
# tdt_ctc-110m + the JFK 11s clip.
tests-parakeet-cpp-grpc-transcription:
needs: detect-changes
if: needs.detect-changes.outputs.parakeet-cpp == 'true' || needs.detect-changes.outputs.run-all == 'true'
runs-on: ubuntu-latest
timeout-minutes: 90
steps:
- name: Clone
uses: actions/checkout@v6
with:
submodules: true
- name: Setup Go
uses: actions/setup-go@v5
with:
go-version: '1.25.4'
- name: Build parakeet-cpp backend image and run transcription gRPC e2e tests
run: |
make test-extra-backend-parakeet-cpp-transcription
# VITS TTS via the sherpa-onnx backend. Drives both TTS (file write) and
# TTSStream (PCM chunks) on the e2e-backends harness.
tests-sherpa-onnx-grpc-tts:
@@ -866,81 +843,6 @@ jobs:
- name: Test qwen3-tts-cpp
run: |
make --jobs=5 --output-sync=target -C backend/go/qwen3-tts-cpp test
# Per-backend smoke for rfdetr-cpp: builds the .so + Go binary and runs
# `make -C backend/go/rfdetr-cpp test`. test.sh fetches the small (~20 MB)
# rfdetr-nano-q8_0 GGUF from the published mudler/rfdetr-cpp-nano HF repo
# via curl and synthesises a tiny PNG to exercise the wire protocol.
tests-rfdetr-cpp:
needs: detect-changes
if: needs.detect-changes.outputs.rfdetr-cpp == 'true' || needs.detect-changes.outputs.run-all == 'true'
runs-on: ubuntu-latest
steps:
- name: Clone
uses: actions/checkout@v6
with:
submodules: true
- name: Dependencies
run: |
sudo apt-get update
sudo apt-get install -y build-essential cmake curl libopenblas-dev
- name: Setup Go
uses: actions/setup-go@v5
- name: Display Go version
run: go version
- name: Proto Dependencies
run: |
# Install protoc
curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v26.1/protoc-26.1-linux-x86_64.zip -o protoc.zip && \
unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
rm protoc.zip
go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
PATH="$PATH:$HOME/go/bin" make protogen-go
- name: Build rfdetr-cpp
run: |
make --jobs=5 --output-sync=target -C backend/go/rfdetr-cpp
- name: Test rfdetr-cpp
run: |
make --jobs=5 --output-sync=target -C backend/go/rfdetr-cpp test
# Per-backend e2e for locate-anything-cpp: builds the .so + Go binary and
# runs `make -C backend/go/locate-anything-cpp test`. test.sh fetches the
# locate-anything-q8_0 GGUF (~6.3 GB, NVIDIA LocateAnything-3B) from the
# published mudler/locate-anything.cpp-gguf HF repo + a COCO image, then the
# Go wire test loads the model and runs an open-vocabulary Detect, asserting
# at least one labeled box. Heavier than the other Go backends (it is a 3B),
# so it is gated to changes under backend/go/locate-anything-cpp/.
tests-locate-anything-cpp:
needs: detect-changes
if: needs.detect-changes.outputs.locate-anything-cpp == 'true' || needs.detect-changes.outputs.run-all == 'true'
runs-on: ubuntu-latest
steps:
- name: Clone
uses: actions/checkout@v6
with:
submodules: true
- name: Dependencies
run: |
sudo apt-get update
sudo apt-get install -y build-essential cmake curl libopenblas-dev
- name: Setup Go
uses: actions/setup-go@v5
- name: Display Go version
run: go version
- name: Proto Dependencies
run: |
# Install protoc
curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v26.1/protoc-26.1-linux-x86_64.zip -o protoc.zip && \
unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
rm protoc.zip
go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
PATH="$PATH:$HOME/go/bin" make protogen-go
- name: Build locate-anything-cpp
run: |
make --jobs=5 --output-sync=target -C backend/go/locate-anything-cpp
- name: Test locate-anything-cpp
run: |
make --jobs=5 --output-sync=target -C backend/go/locate-anything-cpp test
# Per-backend smoke for vibevoice-cpp: builds the .so + Go binary and
# runs `make -C backend/go/vibevoice-cpp test`. test.sh auto-downloads
# the published mudler/vibevoice.cpp-models bundle (TTS Q8_0 + ASR Q4_K

View File

@@ -53,22 +53,9 @@ jobs:
node-version: '22'
- name: Build React UI
run: make react-ui
# Runs the core suite with coverage and fails if total coverage dropped
# below the committed baseline (coverage-baseline.txt). The gate is
# strict — any decrease fails. Raise the baseline with
# `make test-coverage-baseline` and commit it when coverage rises.
- name: Test (with coverage gate)
- name: Test
run: |
PATH="$PATH:/root/go/bin" make --jobs 5 --output-sync=target test-coverage-check
- name: Upload coverage report
if: ${{ always() }}
uses: actions/upload-artifact@v4
with:
name: coverage-linux
path: |
coverage/coverage.out
coverage/coverage.html
if-no-files-found: ignore
PATH="$PATH:/root/go/bin" make --jobs 5 --output-sync=target test
- name: Setup tmate session if tests fail
if: ${{ failure() }}
uses: mxschmitt/action-tmate@v3.23

View File

@@ -37,10 +37,6 @@ jobs:
uses: actions/setup-node@v6
with:
node-version: '22'
- name: Setup Bun
uses: oven-sh/setup-bun@v2
with:
bun-version: '1.3.11'
- name: Proto Dependencies
run: |
curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v26.1/protoc-26.1-linux-x86_64.zip -o protoc.zip && \
@@ -52,12 +48,16 @@ jobs:
run: |
sudo apt-get update
sudo apt-get install -y build-essential libopus-dev
# Builds an instrumented UI bundle, runs the Playwright specs, and fails
# if line coverage regressed beyond the jitter tolerance (the gate is
# in `make test-ui-coverage-check`). PLAYWRIGHT_CHROMIUM_PATH is unset
# here, so scripts/ensure-playwright-browser.sh installs Chromium via apt.
- name: Run UI e2e + coverage gate
run: PATH="$PATH:$HOME/go/bin" make test-ui-coverage-check
- name: Build UI test server
run: PATH="$PATH:$HOME/go/bin" make build-ui-test-server
- name: Install Playwright
working-directory: core/http/react-ui
run: |
npm install
npx playwright install --with-deps chromium
- name: Run Playwright tests
working-directory: core/http/react-ui
run: npx playwright test
- name: Upload Playwright report
if: ${{ failure() }}
uses: actions/upload-artifact@v7
@@ -65,14 +65,6 @@ jobs:
name: playwright-report
path: core/http/react-ui/playwright-report/
retention-days: 7
- name: Upload UI coverage report
if: ${{ always() }}
uses: actions/upload-artifact@v7
with:
name: ui-coverage
path: core/http/react-ui/coverage/
if-no-files-found: ignore
retention-days: 7
- name: Setup tmate session if tests fail
if: ${{ failure() }}
uses: mxschmitt/action-tmate@v3.23

7
.gitignore vendored
View File

@@ -70,17 +70,10 @@ docs/static/gallery.html
# per-developer customization files for the development container
.devcontainer/customization/*
# Coverage profiles (the committed baseline is coverage-baseline.txt)
/coverage/
# React UI build artifacts (keep placeholder dist/index.html)
core/http/react-ui/node_modules/
core/http/react-ui/dist
# React UI coverage (vite-plugin-istanbul + nyc, via `make test-ui-coverage`)
core/http/react-ui/.nyc_output/
core/http/react-ui/coverage/
# Extracted backend binaries for container-based testing
local-backends/

View File

@@ -56,26 +56,10 @@ linters:
# are exempt — see linters.exclusions.rules below.
- pattern: '^os\.(Getenv|LookupEnv|Environ)$'
msg: 'Plumb config through ApplicationConfig (or the relevant CLI struct) instead of reading env directly. CLI entry points (core/cli/) bind env vars via kong''s `env:` tag — that is the only sanctioned env→struct boundary. See .agents/coding-style.md.'
# Outbound HTTP must go through pkg/httpclient, which refuses redirects
# by default and sets a TLS floor. The std-library default client and
# the http.Get/Post/... convenience helpers follow redirects (up to 10)
# and, on a cross-host redirect, forward custom credential headers such
# as Anthropic's x-api-key to the redirect target — leaking the secret
# (GHSA-3mj3-57v2-4636). forbidigo can't precisely match the
# `&http.Client{}` composite literal without also flagging legitimate
# `*http.Client` type references, so that form is enforced by
# convention + review; these two patterns catch the implicit-default
# client, which is the common footgun.
- pattern: '^http\.DefaultClient$'
msg: 'Use pkg/httpclient (httpclient.New / NewWithTimeout) instead of http.DefaultClient — the std client follows redirects and leaks credential headers cross-host (GHSA-3mj3-57v2-4636). See .agents/coding-style.md.'
- pattern: '^http\.(Get|Post|PostForm|Head)$'
msg: 'Use pkg/httpclient (httpclient.New / NewWithTimeout) instead of http.Get/Post/PostForm/Head — these use http.DefaultClient, which follows redirects and leaks credential headers cross-host (GHSA-3mj3-57v2-4636). See .agents/coding-style.md.'
exclusions:
paths:
# Upstream whisper.cpp source tree fetched by the whisper backend Makefile.
- 'backend/go/whisper/sources'
# Vendored upstream supertonic pipeline (supertone-inc/supertonic go/helper.go).
- 'backend/go/supertonic/helper.go'
- 'docs/'
rules:
# CLI entry points: kong's `env:"..."` tag is the legitimate env→struct
@@ -111,18 +95,3 @@ linters:
- path: _test\.go$
text: 'os\.(Getenv|LookupEnv|Environ)'
linters: [forbidigo]
# pkg/httpclient is the sanctioned home for outbound HTTP clients; it
# necessarily references net/http directly.
- path: ^pkg/httpclient/
text: 'http\.(DefaultClient|Get|Post|PostForm|Head)'
linters: [forbidigo]
# Tests drive local httptest servers where redirect/TLS hardening is
# irrelevant; the std client is fine there.
- path: _test\.go$
text: 'http\.(DefaultClient|Get|Post|PostForm|Head)'
linters: [forbidigo]
# Vendored upstream whisper.cpp Go bindings are a separate module and
# cannot import pkg/httpclient.
- path: ^backend/go/whisper/sources/
text: 'http\.(DefaultClient|Get|Post|PostForm|Head)'
linters: [forbidigo]

View File

@@ -35,7 +35,6 @@ LocalAI follows the Linux kernel project's [guidelines for AI coding assistants]
## Quick Reference
- **Git hooks & coverage gates**: Run `make install-hooks` once per clone so the pre-commit lint + coverage gates run. **Never bypass them with `git commit --no-verify`, and never lower a coverage baseline or widen a gate's tolerance to turn a red gate green** — the coverage ratchet only moves up. If a change drops coverage, add tests to raise it (e.g. render-smoke specs). See [.agents/building-and-testing.md](.agents/building-and-testing.md).
- **Logging**: Use `github.com/mudler/xlog` (same API as slog)
- **Go style**: Prefer `any` over `interface{}`
- **Comments**: Explain *why*, not *what*

View File

@@ -198,7 +198,6 @@ For AI-assisted development, see [`AGENTS.md`](AGENTS.md) (or the equivalent [`C
- Prefer modern Go idioms — for example, use `any` instead of `interface{}`.
- Use [`golangci-lint`](https://golangci-lint.run) to catch common issues before submitting a PR.
- Run `make install-hooks` once per clone to enable the pre-commit hook: Go changes run `make lint` + the coverage gate (`make test-coverage-check`); `core/http/react-ui/` changes run the Playwright e2e suite (`make test-ui`). Bypass a single commit with `git commit --no-verify`.
- Use [`github.com/mudler/xlog`](https://github.com/mudler/xlog) for logging (same API as `slog`). Do not use `fmt.Println` or the standard `log` package for operational logging.
- Use tab indentation for Go files (as defined in `.editorconfig`).
@@ -266,12 +265,6 @@ The e2e tests run LocalAI in a Docker container and exercise the API:
make test-e2e
```
### React UI tests and coverage
The React UI (`core/http/react-ui/`) is covered by Playwright e2e specs, gated by a **monotonic line-coverage ratchet** (`make test-ui-coverage-check`, run in CI and pre-commit). The metric is non-deterministic — a fast local box reads higher than a slow CI runner for the same code — so a small tolerance is unavoidable.
**If your change lowers UI coverage, raise it back by adding specs — do not widen the tolerance or hand-lower the baseline.** A *render-smoke* spec (navigate to a page, assert its header is visible) cheaply covers an entire lazy page. See `core/http/react-ui/e2e/page-render-smoke.spec.js` and the full policy in [.agents/building-and-testing.md](.agents/building-and-testing.md#react-ui-coverage).
### Running E2E container tests
These tests build a standard LocalAI Docker image and run it with pre-configured model configs to verify that most endpoints work correctly:

View File

@@ -108,7 +108,6 @@ RUN <<EOT bash
apt-get update && \
apt-get install -y --no-install-recommends \
cuda-nvcc-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
cuda-nvrtc-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
libcufft-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
libcurand-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \

176
Makefile
View File

@@ -1,5 +1,5 @@
# Disable parallel execution for backend builds
.NOTPARALLEL: backends/diffusers backends/llama-cpp backends/turboquant backends/outetts backends/piper backends/stablediffusion-ggml backends/whisper backends/crispasr backends/parakeet-cpp backends/faster-whisper backends/silero-vad backends/local-store backends/huggingface backends/rfdetr backends/rfdetr-cpp backends/insightface backends/speaker-recognition backends/kitten-tts backends/kokoro backends/chatterbox backends/llama-cpp-darwin backends/neutts build-darwin-python-backend build-darwin-go-backend backends/mlx backends/diffuser-darwin backends/mlx-vlm backends/mlx-audio backends/mlx-distributed backends/stablediffusion-ggml-darwin backends/vllm backends/vllm-omni backends/sglang backends/moonshine backends/pocket-tts backends/qwen-tts backends/faster-qwen3-tts backends/qwen-asr backends/nemo backends/voxcpm backends/whisperx backends/ace-step backends/acestep-cpp backends/fish-speech backends/voxtral backends/opus backends/trl backends/llama-cpp-quantization backends/kokoros backends/sam3-cpp backends/qwen3-tts-cpp backends/omnivoice-cpp backends/vibevoice-cpp backends/localvqe backends/tinygrad backends/sherpa-onnx backends/ds4 backends/ds4-darwin backends/liquid-audio backends/supertonic backends/depth-anything-cpp backends/privacy-filter
.NOTPARALLEL: backends/diffusers backends/llama-cpp backends/turboquant backends/outetts backends/piper backends/stablediffusion-ggml backends/whisper backends/faster-whisper backends/silero-vad backends/local-store backends/huggingface backends/rfdetr backends/insightface backends/speaker-recognition backends/kitten-tts backends/kokoro backends/chatterbox backends/llama-cpp-darwin backends/neutts build-darwin-python-backend build-darwin-go-backend backends/mlx backends/diffuser-darwin backends/mlx-vlm backends/mlx-audio backends/mlx-distributed backends/stablediffusion-ggml-darwin backends/vllm backends/vllm-omni backends/sglang backends/moonshine backends/pocket-tts backends/qwen-tts backends/faster-qwen3-tts backends/qwen-asr backends/nemo backends/voxcpm backends/whisperx backends/ace-step backends/acestep-cpp backends/fish-speech backends/voxtral backends/opus backends/trl backends/llama-cpp-quantization backends/kokoros backends/sam3-cpp backends/qwen3-tts-cpp backends/vibevoice-cpp backends/localvqe backends/tinygrad backends/sherpa-onnx backends/ds4 backends/ds4-darwin backends/liquid-audio
GOCMD=go
GOTEST=$(GOCMD) test
@@ -71,39 +71,8 @@ endif
TEST_PATHS?=./api/... ./pkg/... ./core/... ./backend/go/cloud-proxy/... ./backend/go/local-store/...
## Coverage output and the committed baseline that CI compares against.
## The gate is strict: total coverage must never decrease (no tolerance).
## covermode=atomic makes line coverage deterministic regardless of test
## ordering or flake retries, so there is no run-to-run jitter to absorb.
COVERAGE_DIR?=$(abspath ./coverage)
COVERAGE_PROFILE?=$(COVERAGE_DIR)/coverage.out
COVERAGE_BASELINE?=coverage-baseline.txt
## Coverage is collected one recursive root at a time and merged (see
## scripts/run-coverage.sh): passing several recursive roots to a single
## ginkgo invocation only keeps one root's coverprofile. Mirrors TEST_PATHS
## minus ./api (which doesn't exist).
COVERAGE_ROOTS?=./pkg ./core
## Build tags for the coverage build. `auth` is required to compile the real
## auth implementation and its ~150 `//go:build auth` tests (otherwise they're
## invisible and the gate scores auth against a stub). `debug` matches `test`.
COVERAGE_TAGS?=debug auth
## Coverage is attributed to these packages via --coverpkg, so the in-process
## integration suites (COVERAGE_E2E_ROOTS) credit the core/http handlers they
## drive over HTTP — not just their own test package.
COVERAGE_COVERPKG?=github.com/mudler/LocalAI/core/...,github.com/mudler/LocalAI/pkg/...
## In-process integration suites folded into coverage. Run non-recursively
## (excludes tests/e2e/distributed, which needs containers) with the mock
## backend built by prepare-test. real-models specs need a downloaded model,
## so they're filtered out. NOTE: tests/integration is intentionally NOT here —
## it needs the local-store backend built (`make backends/local-store`), which
## the coverage CI job doesn't do.
COVERAGE_E2E_ROOTS?=./tests/e2e
COVERAGE_E2E_LABELS?=!real-models
## Drop generated protobuf from the denominator (it has no tests by design).
COVERAGE_EXCLUDE_RE?=grpc/proto/.*[.]pb[.]go
.PHONY: all test test-coverage test-coverage-baseline test-coverage-check test-ui test-ui-coverage-baseline test-ui-coverage-check install-hooks build vendor lint lint-all
.PHONY: all test build vendor lint lint-all
all: help
@@ -180,7 +149,7 @@ osx-signed: build
## Run
run: ## run local-ai
CGO_LDFLAGS="$(CGO_LDFLAGS)" $(GOCMD) run ./cmd/local-ai
CGO_LDFLAGS="$(CGO_LDFLAGS)" $(GOCMD) run ./
prepare-test: protogen-go build-mock-backend
@@ -201,36 +170,6 @@ test: prepare-test
OPUS_SHIM_LIBRARY=$(abspath ./pkg/opus/shim/libopusshim.so) \
$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --flake-attempts $(TEST_FLAKES) --fail-fast -v -r $(TEST_PATHS)
## Runs the core suite ($(TEST_PATHS)) with statement-coverage instrumentation
## and writes a merged profile to $(COVERAGE_PROFILE). Deliberately omits
## --fail-fast so a single failure doesn't truncate the coverage number, and
## uses covermode=atomic so the result is deterministic. Prints the total.
test-coverage: prepare-test
@echo 'Running tests with coverage'
GINKGO_TAGS="$(COVERAGE_TAGS)" \
COVERAGE_COVERPKG="$(COVERAGE_COVERPKG)" \
COVERAGE_E2E_ROOTS="$(COVERAGE_E2E_ROOTS)" \
COVERAGE_E2E_LABELS="$(COVERAGE_E2E_LABELS)" \
COVERAGE_EXCLUDE_RE='$(COVERAGE_EXCLUDE_RE)' \
OPUS_SHIM_LIBRARY=$(abspath ./pkg/opus/shim/libopusshim.so) \
scripts/run-coverage.sh $(COVERAGE_DIR) $(COVERAGE_PROFILE) $(TEST_FLAKES) $(COVERAGE_ROOTS)
@$(GOCMD) tool cover -html=$(COVERAGE_PROFILE) -o $(COVERAGE_DIR)/coverage.html
@$(GOCMD) tool cover -func=$(COVERAGE_PROFILE) | tail -n1
## Writes the current total coverage to $(COVERAGE_BASELINE). Run this (and
## commit the result) whenever a change legitimately raises coverage so the
## ratchet moves up. Never lower it by hand.
test-coverage-baseline: test-coverage
@$(GOCMD) tool cover -func=$(COVERAGE_PROFILE) | awk '/^total:/{gsub(/%/,"",$$NF); print $$NF}' > $(COVERAGE_BASELINE)
@echo "Saved coverage baseline: $$(cat $(COVERAGE_BASELINE))%"
## CI gate: fails if total coverage dropped more than COVERAGE_TOLERANCE
## (default 0.5pp) below the committed baseline. A small tolerance absorbs the
## run-to-run jitter from the in-process tests/e2e suite folded in via
## --coverpkg (timing-dependent which handler lines execute).
test-coverage-check: test-coverage
@scripts/coverage-check.sh $(COVERAGE_PROFILE) $(COVERAGE_BASELINE)
########################################################
## Lint
########################################################
@@ -246,17 +185,12 @@ test-coverage-check: test-coverage
## everything else automatically, so new packages are scanned by default.
LINT_EXCLUDE_DIRS_RE=/(backend/go/(piper|silero-vad|llm)|cmd/launcher)(/|$$)
## Set LINT_NEW_FROM to a git ref to override .golangci.yml's
## new-from-merge-base (origin/master). Useful from a fork clone where
## origin/master is stale relative to the canonical repo — the pre-commit
## hook passes the resolved upstream ref here so local lint matches CI.
LINT_NEW_FROM?=
lint:
@command -v golangci-lint >/dev/null 2>&1 || { \
echo 'golangci-lint not installed. Install: go install github.com/golangci/golangci-lint/v2/cmd/golangci-lint@latest'; \
exit 1; \
}
golangci-lint run $(if $(LINT_NEW_FROM),--new-from-merge-base=$(LINT_NEW_FROM),) $$(go list -e -f '{{.Dir}}' ./... | grep -vE '$(LINT_EXCLUDE_DIRS_RE)')
golangci-lint run $$(go list -e -f '{{.Dir}}' ./... | grep -vE '$(LINT_EXCLUDE_DIRS_RE)')
## Like `lint` but reports every issue, including the pre-existing baseline
## that `lint` ignores via .golangci.yml's new-from-merge-base. Use this to
@@ -268,17 +202,6 @@ lint-all:
}
golangci-lint run --new=false --new-from-merge-base= --new-from-rev= $$(go list -e -f '{{.Dir}}' ./... | grep -vE '$(LINT_EXCLUDE_DIRS_RE)')
########################################################
## Git hooks
########################################################
## Points git at the versioned .githooks/ directory so the pre-commit hook
## (lint + coverage gate) runs locally. Run once per clone. Undo with:
## `git config --unset core.hooksPath`. Skip a single commit with
## `git commit --no-verify`.
install-hooks:
git config core.hooksPath .githooks
@echo 'Installed git hooks: core.hooksPath -> .githooks (pre-commit runs lint + test-coverage-check on Go changes)'
########################################################
## E2E AIO tests (uses standard image with pre-configured models)
########################################################
@@ -309,20 +232,13 @@ run-e2e-aio: protogen-go
@echo 'Running e2e AIO tests'
$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --flake-attempts $(TEST_FLAKES) -v -r ./tests/e2e-aio
# Distributed architecture e2e (PostgreSQL + NATS via testcontainers).
# Includes NatsJWT specs (JWT-enabled NATS). Requires Docker.
# VLLMMultinode is excluded here; use test-e2e-vllm-multinode for that.
test-e2e-distributed: protogen-go
@echo 'Running distributed e2e tests (label Distributed, incl. NatsJWT)'
$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter='Distributed && !VLLMMultinode' --flake-attempts $(TEST_FLAKES) -v -r ./tests/e2e/distributed
# vLLM multi-node DP smoke (CPU). Builds local-ai:tests and the
# cpu-vllm backend from the current working tree, then drives a
# head + headless follower via testcontainers-go and asserts a chat
# completion. BuildKit caches both images, so re-runs only rebuild
# what changed. The test lives under tests/e2e/distributed and is
# selected by the VLLMMultinode label so it doesn't run alongside
# test-e2e-distributed.
# the other distributed-suite tests by default.
test-e2e-vllm-multinode: docker-build-e2e extract-backend-vllm protogen-go
@echo 'Running e2e vLLM multi-node DP test'
LOCALAI_IMAGE=local-ai \
@@ -565,8 +481,6 @@ prepare-test-extra: protogen-python
$(MAKE) -C backend/python/insightface
$(MAKE) -C backend/python/speaker-recognition
$(MAKE) -C backend/rust/kokoros kokoros-grpc
$(MAKE) -C backend/go/rfdetr-cpp
$(MAKE) -C backend/go/locate-anything-cpp
test-extra: prepare-test-extra
$(MAKE) -C backend/python/transformers test
@@ -593,10 +507,6 @@ test-extra: prepare-test-extra
$(MAKE) -C backend/python/insightface test
$(MAKE) -C backend/python/speaker-recognition test
$(MAKE) -C backend/rust/kokoros test
$(MAKE) -C backend/go/rfdetr-cpp test
$(MAKE) -C backend/go/locate-anything-cpp test
$(MAKE) -C backend/go/depth-anything-cpp test
$(MAKE) -C backend/go/supertonic test
##
## End-to-end gRPC tests that exercise a built backend container image.
@@ -1002,19 +912,6 @@ test-extra-backend-whisper-transcription: docker-build-whisper
BACKEND_TEST_CAPS=health,load,transcription \
$(MAKE) test-extra-backend
## Audio transcription wrapper for the parakeet-cpp (parakeet.cpp ggml port)
## backend. Mirrors test-extra-backend-whisper-transcription: drives the
## AudioTranscription / AudioTranscriptionStream RPCs against a published
## Parakeet GGUF using the JFK 11s clip from whisper.cpp's CI samples. Not
## part of the default test suite - run explicitly once the pinned model URL
## is reachable.
test-extra-backend-parakeet-cpp-transcription: docker-build-parakeet-cpp
BACKEND_IMAGE=local-ai-backend:parakeet-cpp \
BACKEND_TEST_MODEL_URL=https://huggingface.co/mudler/parakeet-cpp-gguf/resolve/main/tdt_ctc-110m-f16.gguf \
BACKEND_TEST_AUDIO_URL=https://github.com/ggml-org/whisper.cpp/raw/master/samples/jfk.wav \
BACKEND_TEST_CAPS=health,load,transcription \
$(MAKE) test-extra-backend
## LocalVQE audio transform (joint AEC + noise suppression + dereverb).
## Exercises the audio_transform capability end-to-end: batch transform
## of a real WAV fixture and bidi streaming of synthetic silent frames.
@@ -1164,10 +1061,6 @@ BACKEND_TURBOQUANT = turboquant|turboquant|.|false|false
# Single-model; hardware-only validation lives at tests/e2e-backends/
# (BACKEND_BINARY mode); see docs/superpowers/plans/2026-05-11-ds4-backend.md.
BACKEND_DS4 = ds4|ds4|.|false|false
# privacy-filter wraps the standalone privacy-filter.cpp GGML engine (the
# openai-privacy-filter PII/NER token classifier) — the TokenClassify RPC for
# the PII redactor tier, on stock ggml with no llama.cpp carry-patches.
BACKEND_PRIVACY_FILTER = privacy-filter|privacy-filter|.|false|false
# Golang backends
BACKEND_PIPER = piper|golang|.|false|true
@@ -1177,18 +1070,13 @@ BACKEND_HUGGINGFACE = huggingface|golang|.|false|true
BACKEND_SILERO_VAD = silero-vad|golang|.|false|true
BACKEND_STABLEDIFFUSION_GGML = stablediffusion-ggml|golang|.|--progress=plain|true
BACKEND_WHISPER = whisper|golang|.|false|true
BACKEND_CRISPASR = crispasr|golang|.|false|true
BACKEND_PARAKEET_CPP = parakeet-cpp|golang|.|false|true
BACKEND_DEPTH_ANYTHING_CPP = depth-anything-cpp|golang|.|false|true
BACKEND_VOXTRAL = voxtral|golang|.|false|true
BACKEND_ACESTEP_CPP = acestep-cpp|golang|.|false|true
BACKEND_QWEN3_TTS_CPP = qwen3-tts-cpp|golang|.|false|true
BACKEND_OMNIVOICE_CPP = omnivoice-cpp|golang|.|false|true
BACKEND_VIBEVOICE_CPP = vibevoice-cpp|golang|.|false|true
BACKEND_LOCALVQE = localvqe|golang|.|false|true
BACKEND_OPUS = opus|golang|.|false|true
BACKEND_SHERPA_ONNX = sherpa-onnx|golang|.|false|true
BACKEND_SUPERTONIC = supertonic|golang|.|false|true
# Python backends with root context
BACKEND_RERANKERS = rerankers|python|.|false|true
@@ -1231,7 +1119,6 @@ BACKEND_KOKOROS = kokoros|rust|.|false|true
# C++ backends (Go wrapper with purego)
BACKEND_SAM3_CPP = sam3-cpp|golang|.|false|true
BACKEND_RFDETR_CPP = rfdetr-cpp|golang|.|false|true
# Helper function to build docker image for a backend
# Usage: $(call docker-build-backend,BACKEND_NAME,DOCKERFILE_TYPE,BUILD_CONTEXT,PROGRESS_FLAG,NEEDS_BACKEND_ARG)
@@ -1262,7 +1149,6 @@ $(eval $(call generate-docker-build-target,$(BACKEND_LLAMA_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_IK_LLAMA_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_TURBOQUANT)))
$(eval $(call generate-docker-build-target,$(BACKEND_DS4)))
$(eval $(call generate-docker-build-target,$(BACKEND_PRIVACY_FILTER)))
$(eval $(call generate-docker-build-target,$(BACKEND_PIPER)))
$(eval $(call generate-docker-build-target,$(BACKEND_LOCAL_STORE)))
$(eval $(call generate-docker-build-target,$(BACKEND_CLOUD_PROXY)))
@@ -1270,9 +1156,6 @@ $(eval $(call generate-docker-build-target,$(BACKEND_HUGGINGFACE)))
$(eval $(call generate-docker-build-target,$(BACKEND_SILERO_VAD)))
$(eval $(call generate-docker-build-target,$(BACKEND_STABLEDIFFUSION_GGML)))
$(eval $(call generate-docker-build-target,$(BACKEND_WHISPER)))
$(eval $(call generate-docker-build-target,$(BACKEND_CRISPASR)))
$(eval $(call generate-docker-build-target,$(BACKEND_PARAKEET_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_DEPTH_ANYTHING_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_VOXTRAL)))
$(eval $(call generate-docker-build-target,$(BACKEND_OPUS)))
$(eval $(call generate-docker-build-target,$(BACKEND_RERANKERS)))
@@ -1305,7 +1188,6 @@ $(eval $(call generate-docker-build-target,$(BACKEND_WHISPERX)))
$(eval $(call generate-docker-build-target,$(BACKEND_ACE_STEP)))
$(eval $(call generate-docker-build-target,$(BACKEND_ACESTEP_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_QWEN3_TTS_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_OMNIVOICE_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_VIBEVOICE_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_LOCALVQE)))
$(eval $(call generate-docker-build-target,$(BACKEND_MLX)))
@@ -1316,15 +1198,13 @@ $(eval $(call generate-docker-build-target,$(BACKEND_LLAMA_CPP_QUANTIZATION)))
$(eval $(call generate-docker-build-target,$(BACKEND_TINYGRAD)))
$(eval $(call generate-docker-build-target,$(BACKEND_KOKOROS)))
$(eval $(call generate-docker-build-target,$(BACKEND_SAM3_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_RFDETR_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_SHERPA_ONNX)))
$(eval $(call generate-docker-build-target,$(BACKEND_SUPERTONIC)))
# Pattern rule for docker-save targets
docker-save-%: backend-images
docker save local-ai-backend:$* -o backend-images/$*.tar
docker-build-backends: docker-build-llama-cpp docker-build-ik-llama-cpp docker-build-turboquant docker-build-ds4 docker-build-rerankers docker-build-vllm docker-build-vllm-omni docker-build-sglang docker-build-transformers docker-build-outetts docker-build-diffusers docker-build-kokoro docker-build-faster-whisper docker-build-crispasr docker-build-coqui docker-build-chatterbox docker-build-vibevoice docker-build-liquid-audio docker-build-moonshine docker-build-pocket-tts docker-build-qwen-tts docker-build-fish-speech docker-build-faster-qwen3-tts docker-build-qwen-asr docker-build-nemo docker-build-voxcpm docker-build-whisperx docker-build-ace-step docker-build-acestep-cpp docker-build-voxtral docker-build-mlx-distributed docker-build-trl docker-build-llama-cpp-quantization docker-build-tinygrad docker-build-kokoros docker-build-sam3-cpp docker-build-rfdetr-cpp docker-build-qwen3-tts-cpp docker-build-omnivoice-cpp docker-build-vibevoice-cpp docker-build-localvqe docker-build-insightface docker-build-speaker-recognition docker-build-sherpa-onnx docker-build-cloud-proxy docker-build-supertonic docker-build-depth-anything-cpp docker-build-privacy-filter
docker-build-backends: docker-build-llama-cpp docker-build-ik-llama-cpp docker-build-turboquant docker-build-ds4 docker-build-rerankers docker-build-vllm docker-build-vllm-omni docker-build-sglang docker-build-transformers docker-build-outetts docker-build-diffusers docker-build-kokoro docker-build-faster-whisper docker-build-coqui docker-build-chatterbox docker-build-vibevoice docker-build-liquid-audio docker-build-moonshine docker-build-pocket-tts docker-build-qwen-tts docker-build-fish-speech docker-build-faster-qwen3-tts docker-build-qwen-asr docker-build-nemo docker-build-voxcpm docker-build-whisperx docker-build-ace-step docker-build-acestep-cpp docker-build-voxtral docker-build-mlx-distributed docker-build-trl docker-build-llama-cpp-quantization docker-build-tinygrad docker-build-kokoros docker-build-sam3-cpp docker-build-qwen3-tts-cpp docker-build-vibevoice-cpp docker-build-localvqe docker-build-insightface docker-build-speaker-recognition docker-build-sherpa-onnx docker-build-cloud-proxy
########################################################
### Mock Backend for E2E Tests
@@ -1352,50 +1232,6 @@ build-ui-test-server: build-mock-backend react-ui protogen-go
test-ui-e2e: build-ui-test-server
cd core/http/react-ui && npm install && npx playwright install --with-deps chromium && npx playwright test
## Optional Playwright worker count for the UI e2e targets below. Pass
## UI_TEST_WORKERS=N (e.g. `make test-ui-coverage UI_TEST_WORKERS=20`) to
## override Playwright's default (cores/2). Empty by default so Playwright
## picks its own worker count.
UI_TEST_WORKERS ?=
PLAYWRIGHT_WORKERS_FLAG = $(if $(UI_TEST_WORKERS),--workers=$(UI_TEST_WORKERS),)
## Fast Playwright e2e run used by the pre-commit hook on React UI changes.
## Force-rebuilds the (non-instrumented) dist so the suite tests the working
## tree — not a stale dist the `react-ui` skip-guard would leave — re-embeds
## it into ui-test-server, and runs the specs. Uses the nix-provided browser
## when PLAYWRIGHT_CHROMIUM_PATH is set (flake dev shell), else falls back to
## downloading it as `test-ui-e2e` does.
test-ui: build-mock-backend protogen-go
cd core/http/react-ui && bun install && bun run build
$(GOCMD) build -o tests/e2e-ui/ui-test-server ./tests/e2e-ui
cd core/http/react-ui && sh $(CURDIR)/scripts/ensure-playwright-browser.sh && bunx playwright test $(PLAYWRIGHT_WORKERS_FLAG)
## React UI code coverage from the Playwright e2e suite. Builds a
## NON-instrumented bundle with source maps (COVERAGE_V8=true), re-embeds it
## into the ui-test-server (the dist is //go:embed'ed at compile time), runs the
## Playwright specs which collect native Chromium V8 coverage (PW_V8_COVERAGE=1)
## — far cheaper than istanbul's build-time counters (~40% faster end-to-end) —
## convert it to istanbul via v8-to-istanbul in the coverage fixture, and write
## an nyc report to core/http/react-ui/coverage/. Removes the dist afterwards so
## normal builds aren't served source-mapped assets. (The legacy istanbul path
## still exists: `bun run build:coverage` + unset PW_V8_COVERAGE.)
test-ui-coverage: build-mock-backend protogen-go
trap 'rm -rf "$(CURDIR)/core/http/react-ui/dist"' EXIT; \
( cd core/http/react-ui && bun install && bun run build:coverage-v8 ) && \
$(GOCMD) build -o tests/e2e-ui/ui-test-server ./tests/e2e-ui && \
( cd core/http/react-ui && rm -rf .nyc_output coverage && \
sh $(CURDIR)/scripts/ensure-playwright-browser.sh && \
PW_V8_COVERAGE=1 bunx playwright test $(PLAYWRIGHT_WORKERS_FLAG) && bun run coverage:report )
## UI coverage baseline (committed) and the strict gate that compares against
## it — the React mirror of test-coverage-baseline / test-coverage-check.
test-ui-coverage-baseline: test-ui-coverage
@node -e 'const fs=require("fs");process.stdout.write(String(JSON.parse(fs.readFileSync("core/http/react-ui/coverage/coverage-summary.json")).total.lines.pct))' > core/http/react-ui/coverage-baseline.txt
@echo "Saved UI coverage baseline: $$(cat core/http/react-ui/coverage-baseline.txt)% lines"
test-ui-coverage-check: test-ui-coverage
sh $(CURDIR)/scripts/ui-coverage-check.sh core/http/react-ui/coverage/coverage-summary.json core/http/react-ui/coverage-baseline.txt
test-ui-e2e-docker:
docker build -t localai-ui-e2e -f tests/e2e-ui/Dockerfile .
docker run --rm localai-ui-e2e

View File

@@ -29,32 +29,14 @@
<a href="https://trendshift.io/repositories/5539" target="_blank"><img src="https://trendshift.io/api/badge/repositories/5539" alt="mudler%2FLocalAI | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</p>
<!-- Keep these links, translations synced daily. -->
<p align="center">
<a href="https://zdoc.app/de/mudler/LocalAI">Deutsch</a> |
<a href="https://zdoc.app/es/mudler/LocalAI">Español</a> |
<a href="https://zdoc.app/fr/mudler/LocalAI">français</a> |
<a href="https://zdoc.app/ja/mudler/LocalAI">日本語</a> |
<a href="https://zdoc.app/ko/mudler/LocalAI">한국어</a> |
<a href="https://zdoc.app/pt/mudler/LocalAI">Português</a> |
<a href="https://zdoc.app/ru/mudler/LocalAI">Русский</a> |
<a href="https://zdoc.app/zh/mudler/LocalAI">中文</a>
</p>
**LocalAI** is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
**A small core, not a bundle.** Each backend wraps a best-in-class engine (llama.cpp, vLLM, whisper.cpp, stable-diffusion, MLX...) in its own image, pulled only when a model needs it. You install nothing you don't use.
- **Composable by design**: backends are separate and pulled on demand, so you install only what your model needs
- **Open and extensible**: load any model, or build your own backend in any language against an open interface
- **Drop-in API compatibility**: OpenAI, Anthropic, and ElevenLabs APIs across every backend
- **Any model, any modality**: LLMs, vision, voice, image, and video behind one API
- **Any hardware**: NVIDIA, AMD, Intel, Apple Silicon, Vulkan, or CPU-only
- **Multi-user ready**: API key auth, user quotas, role-based access
- **Built-in AI agents**: autonomous agents with tool use, RAG, MCP, and skills
- **Privacy-first**: your data never leaves your infrastructure
![A small LocalAI core with backends (llama.cpp, vLLM, MLX, whisper.cpp, stable-diffusion, kokoro, parakeet.cpp...) plugged in as separate on-demand images](docs/static/images/diagrams/composable-core.png)
- **Drop-in API compatibility** — OpenAI, Anthropic, ElevenLabs APIs
- **36+ backends** — llama.cpp, vLLM, transformers, whisper, diffusers, MLX...
- **Any hardware** — NVIDIA, AMD, Intel, Apple Silicon, Vulkan, or CPU-only
- **Multi-user ready** — API key auth, user quotas, role-based access
- **Built-in AI agents** — autonomous agents with tool use, RAG, MCP, and skills
- **Privacy-first** — your data never leaves your infrastructure
Created by [Ettore Di Giacinto](https://github.com/mudler) and maintained by the [LocalAI team](#team).
@@ -161,30 +143,14 @@ local-ai run https://gist.githubusercontent.com/.../phi-2.yaml
local-ai run oci://localai/phi-2:latest
```
To test a running LocalAI server from the terminal, open an interactive chat session from another shell. Inside the prompt, `/models` lists installed models and `/model <name>` switches between them.
```bash
# Terminal 1
local-ai run llama-3.2-1b-instruct:q4_k_m
# Terminal 2
local-ai chat --model llama-3.2-1b-instruct:q4_k_m
```
> **Automatic Backend Detection**: LocalAI automatically detects your GPU capabilities and downloads the appropriate backend. For advanced options, see [GPU Acceleration](https://localai.io/features/gpu-acceleration/).
For more details, see the [Getting Started guide](https://localai.io/basics/getting_started/).
## Latest News
- **June 2026**: New [realtime voice assistant demo](https://github.com/localai-org/localai-realtime-demo) (a tiny Go client for the Realtime API with a full talk-back voice loop and tool calling), plus [streaming of the realtime LLM / TTS / transcription pipeline stages](https://github.com/mudler/LocalAI/pull/10176) and [configurable WebRTC ICE candidates](https://github.com/mudler/LocalAI/pull/10231).
- **June 2026**: Big speech push: the [parakeet.cpp](https://github.com/mudler/parakeet.cpp) ASR engine gains [NeMo-faithful segment timestamps](https://github.com/mudler/LocalAI/pull/10207), a [multilingual streaming Nemotron-3.5 model](https://github.com/mudler/LocalAI/pull/10199), [dynamic batching for concurrent transcription](https://github.com/mudler/LocalAI/pull/10112) and [CUDA graphs](https://github.com/mudler/LocalAI/pull/10273); the new [CrispASR backend](https://github.com/mudler/LocalAI/pull/10099) adds multi-architecture ASR + TTS, and [60 Piper TTS voices across 42 languages](https://github.com/mudler/LocalAI/pull/10296) land in the gallery (plus [per-request TTS instructions and params](https://github.com/mudler/LocalAI/pull/10172)).
- **June 2026**: New backends and models: [locate-anything.cpp](https://github.com/mudler/LocalAI/pull/10264) for open-vocabulary object detection via ggml, [Ideogram4 image generation](https://github.com/mudler/LocalAI/pull/10201) in stablediffusion-ggml, [llama.cpp video input](https://github.com/mudler/LocalAI/pull/10216), and the [Gemma 4 QAT family with MTP speculative-decoding pairs](https://github.com/mudler/LocalAI/pull/10215). Plus an [interactive CLI chat mode](https://github.com/mudler/LocalAI/pull/10226) and [RAG source citations in agent responses](https://github.com/mudler/LocalAI/pull/10228).
- **June 2026**: Distributed mode hardening: [prefix-cache-aware routing](https://github.com/mudler/LocalAI/pull/10071), a [production-ready request router with auto-sized embedding/rerank batches](https://github.com/mudler/LocalAI/pull/10104), [ds4 layer-split distributed inference](https://github.com/mudler/LocalAI/pull/10098), [NATS JWT auth + TLS/mTLS](https://github.com/mudler/LocalAI/pull/10159), and [resumable file uploads](https://github.com/mudler/LocalAI/pull/10109).
- **May 2026**: **LocalAI 4.3.0** - `llama.cpp` [prompt cache on by default](https://github.com/mudler/LocalAI/pull/9925) (repeated system prompts collapse from minutes to seconds), [keyless cosign signing of backend OCI images](https://github.com/mudler/LocalAI/pull/9823), [per-API-key + per-user usage attribution](https://github.com/mudler/LocalAI/pull/9920), Distributed v3 with [per-request replica routing](https://github.com/mudler/LocalAI/pull/9968). [Release notes](https://github.com/mudler/LocalAI/releases/tag/v4.3.0)
- **May 2026**: **LocalAI 4.2.0** - LocalAI sees and hears: [voice recognition](https://github.com/mudler/LocalAI/pull/9500), [face recognition + antispoofing liveness](https://github.com/mudler/LocalAI/pull/9480), speaker diarization. Plus [drop-in Ollama API](https://github.com/mudler/LocalAI/pull/9284), [video generation](https://github.com/mudler/LocalAI/pull/9420), redesigned UI with i18n + admin-configurable branding, vLLM at feature parity with llama.cpp, and 11 new backends. [Release notes](https://github.com/mudler/LocalAI/releases/tag/v4.2.0)
- **April 2026**: **LocalAI 4.1.0** - LocalAI becomes a control tower: distributed cluster mode with VRAM-aware smart routing + autoscaling, multi-user platform with OIDC and API keys, per-user quotas with predictive analytics, in-UI fine-tuning with TRL (auto-export to GGUF), on-the-fly quantization backend, visual pipeline editor. [Release notes](https://github.com/mudler/LocalAI/releases/tag/v4.1.0)
- **March 2026**: **LocalAI 4.0.0** - native agentic orchestration with the new [Agenthub](https://agenthub.localai.io) community hub, full React UI rewrite with Canvas mode, [MCP Apps + client-side](https://github.com/mudler/LocalAI/pull/8947) with tool streaming, [WebRTC realtime audio](https://github.com/mudler/LocalAI/pull/8790), [MLX-distributed](https://github.com/mudler/LocalAI/pull/8801). [Release notes](https://github.com/mudler/LocalAI/releases/tag/v4.0.0)
- **April 2026**: [Voice recognition](https://github.com/mudler/LocalAI/pull/9500), [Face recognition, identification & liveness detection](https://github.com/mudler/LocalAI/pull/9480), [Ollama API compatibility](https://github.com/mudler/LocalAI/pull/9284), [Video generation in stable-diffusion.ggml](https://github.com/mudler/LocalAI/pull/9420), [Backend versioning with auto-upgrade](https://github.com/mudler/LocalAI/pull/9315), [Pin models & load-on-demand toggle](https://github.com/mudler/LocalAI/pull/9309), [Universal model importer](https://github.com/mudler/LocalAI/pull/9466), new backends: [sglang](https://github.com/mudler/LocalAI/pull/9359), [ik-llama-cpp](https://github.com/mudler/LocalAI/pull/9326), [TurboQuant](https://github.com/mudler/LocalAI/pull/9355), [sam.cpp](https://github.com/mudler/LocalAI/pull/9288), [Kokoros](https://github.com/mudler/LocalAI/pull/9212), [qwen3tts.cpp](https://github.com/mudler/LocalAI/pull/9316), [tinygrad multimodal](https://github.com/mudler/LocalAI/pull/9364)
- **March 2026**: [Agent management](https://github.com/mudler/LocalAI/pull/8820), [New React UI](https://github.com/mudler/LocalAI/pull/8772), [WebRTC](https://github.com/mudler/LocalAI/pull/8790), [MLX-distributed via P2P and RDMA](https://github.com/mudler/LocalAI/pull/8801), [MCP Apps, MCP Client-side](https://github.com/mudler/LocalAI/pull/8947)
- **February 2026**: [Realtime API for audio-to-audio with tool calling](https://github.com/mudler/LocalAI/pull/6245), [ACE-Step 1.5 support](https://github.com/mudler/LocalAI/pull/8396)
- **January 2026**: **LocalAI 3.10.0** — Anthropic API support, Open Responses API, video & image generation (LTX-2), unified GPU backends, tool streaming, Moonshine, Pocket-TTS. [Release notes](https://github.com/mudler/LocalAI/releases/tag/v3.10.0)
- **December 2025**: [Dynamic Memory Resource reclaimer](https://github.com/mudler/LocalAI/pull/7583), [Automatic multi-GPU model fitting (llama.cpp)](https://github.com/mudler/LocalAI/pull/7584), [Vibevoice backend](https://github.com/mudler/LocalAI/pull/7494)
@@ -220,26 +186,10 @@ For older news and full release notes, see [GitHub Releases](https://github.com/
## Supported Backends & Acceleration
LocalAI supports **60+ backends** including llama.cpp, vLLM, SGLang, transformers, whisper.cpp, diffusers, MLX, MLX-VLM, and many more. Hardware acceleration is available for **NVIDIA** (CUDA 12/13), **AMD** (ROCm), **Intel** (oneAPI/SYCL), **Apple Silicon** (Metal), **Vulkan**, and **NVIDIA Jetson** (L4T). All backends can be installed on-the-fly from the [Backend Gallery](https://localai.io/backends/).
LocalAI supports **36+ backends** including llama.cpp, vLLM, transformers, whisper.cpp, diffusers, MLX, MLX-VLM, and many more. Hardware acceleration is available for **NVIDIA** (CUDA 12/13), **AMD** (ROCm), **Intel** (oneAPI/SYCL), **Apple Silicon** (Metal), **Vulkan**, and **NVIDIA Jetson** (L4T). All backends can be installed on-the-fly from the [Backend Gallery](https://localai.io/backends/).
See the full [Backend & Model Compatibility Table](https://localai.io/model-compatibility/) and [GPU Acceleration guide](https://localai.io/features/gpu-acceleration/).
### Backends built by us
Most backends wrap a best-in-class upstream engine. A handful of them are native C/C++/GGML engines (no Python at inference) developed and maintained by the LocalAI project itself:
| Backend | What it does |
|---------|-------------|
| [parakeet.cpp](https://github.com/mudler/parakeet.cpp) | C++/GGML port of NVIDIA NeMo Parakeet ASR (tdt/ctc/rnnt/hybrid), with cache-aware streaming transcription |
| [voxtral.c](https://github.com/mudler/voxtral.c) | Voxtral Realtime 4B speech-to-text in pure C |
| [vibevoice.cpp](https://github.com/mudler/vibevoice.cpp) | Native port of Microsoft VibeVoice for TTS (voice cloning) and long-form ASR with speaker diarization |
| [rf-detr.cpp](https://github.com/mudler/rf-detr.cpp) | Native RF-DETR object detection and instance segmentation |
| [locate-anything.cpp](https://github.com/mudler/locate-anything.cpp) | Open-vocabulary object detection and visual grounding (LocateAnything-3B) |
| [depth-anything.cpp](https://github.com/mudler/depth-anything.cpp) | Depth Anything 3 monocular metric depth + camera pose estimation |
| [privacy-filter.cpp](https://github.com/localai-org/privacy-filter.cpp) | Standalone GGML PII/NER token-classification engine powering LocalAI's PII redaction tier |
| [LocalVQE](https://github.com/localai-org/LocalVQE) | Joint acoustic echo cancellation, noise suppression, and dereverberation |
| [local-store](https://github.com/mudler/LocalAI) | Local-first vector database for embeddings (shipped in-tree) |
## Resources
- [Documentation](https://localai.io/)
@@ -249,7 +199,7 @@ Most backends wrap a best-in-class upstream engine. A handful of them are native
- [Integrations & community projects](https://localai.io/docs/integrations/)
- [Installation video walkthrough](https://www.youtube.com/watch?v=cMVNnlqwfw4)
- [Media & blog posts](https://localai.io/basics/news/#media-blogs-social)
- [Examples](https://github.com/mudler/LocalAI-examples) — including the [realtime voice assistant demo](https://github.com/localai-org/localai-realtime-demo) (Go client for the Realtime API with tool calling)
- [Examples](https://github.com/mudler/LocalAI-examples)
## Team
@@ -286,22 +236,11 @@ A huge thank you to our generous sponsors who support this project covering CI e
<a href="https://www.spectrocloud.com/" target="blank">
<img height="200" src="https://github.com/user-attachments/assets/72eab1dd-8b93-4fc0-9ade-84db49f24962">
</a>
</p>
<details>
<summary>
Past sponsors
</summary>
<p align="center">
<a href="https://www.premai.io/" target="blank">
<img height="200" src="https://github.com/mudler/LocalAI/assets/2420543/42e4ca83-661e-4f79-8e46-ae43689683d6"> <br>
</a>
</p>
</details>
### Individual sponsors
A special thanks to individual sponsors, a full list is on [GitHub](https://github.com/sponsors/mudler) and [buymeacoffee](https://buymeacoffee.com/mudler). Special shout out to [drikster80](https://github.com/drikster80) for being generous. Thank you everyone!

View File

@@ -206,16 +206,6 @@ RUN if [ "${BACKEND}" = "opus" ]; then \
apt-get clean && rm -rf /var/lib/apt/lists/*; \
fi
# CrispASR's piper TTS backend dlopens libespeak-ng at runtime to phonemize
# non-English text (the MIT-clean path; English uses a built-in G2P). Install
# the espeak-ng runtime + its libpcaudio/libsonic deps + voice data so
# package.sh can bundle them into the FROM scratch image.
RUN if [ "${BACKEND}" = "crispasr" ]; then \
apt-get update && apt-get install -y --no-install-recommends \
espeak-ng-data libespeak-ng1 libpcaudio0 libsonic0 && \
apt-get clean && rm -rf /var/lib/apt/lists/*; \
fi
COPY . /LocalAI
RUN git config --global --add safe.directory /LocalAI

View File

@@ -1,109 +0,0 @@
ARG BASE_IMAGE=ubuntu:24.04
# BUILDER_BASE_IMAGE defaults to BASE_IMAGE so the Dockerfile parses when no
# prebuilt base is supplied; the builder-prebuilt stage is only entered when
# BUILDER_TARGET=builder-prebuilt, so the fallback content is harmless
# (BuildKit prunes the unreferenced builder).
ARG BUILDER_BASE_IMAGE=${BASE_IMAGE}
# BUILDER_TARGET selects which builder stage the scratch image copies from.
# Declared before any FROM so it is usable in `FROM ${BUILDER_TARGET}`. The
# backend_build workflow sets it to builder-prebuilt when the matrix entry
# provides builder-base-image, else builder-fromsource (the local default).
ARG BUILDER_TARGET=builder-fromsource
ARG APT_MIRROR=""
ARG APT_PORTS_MIRROR=""
# privacy-filter: standalone GGML engine for the openai-privacy-filter PII/NER
# token classifier, wrapped as a LocalAI gRPC backend.
#
# Mirrors backend/Dockerfile.llama-cpp: the build toolchain (gRPC + cmake +
# protoc + conditional CUDA/Vulkan) comes from the shared
# .docker/install-base-deps.sh (from-source path) or a prebuilt
# quay.io/go-skynet/ci-cache:base-grpc-* image (CI path) — nothing GPU-specific
# is hand-rolled here. BUILD_TYPE selects the engine backend in the Makefile:
# "" = cpu, "cublas" -> -DPF_CUDA=ON, "vulkan" -> -DPF_VULKAN=ON.
# ============================================================================
# Stage: builder-fromsource — self-contained build. Runs the same install
# script backend/Dockerfile.base-grpc-builder runs, so this path is
# bit-equivalent to the prebuilt base. Used when BUILDER_TARGET=builder-fromsource
# (the default; local `make backends/privacy-filter`).
# ============================================================================
FROM ${BASE_IMAGE} AS builder-fromsource
ARG BUILD_TYPE
ARG CUDA_MAJOR_VERSION
ARG CUDA_MINOR_VERSION
ARG CMAKE_FROM_SOURCE=false
# CUDA Toolkit 13.x needs CMake 3.31.9+ for correct toolchain/arch detection.
ARG CMAKE_VERSION=3.31.10
ARG GRPC_VERSION=v1.65.0
ARG GRPC_MAKEFLAGS="-j4 -Otarget"
ARG SKIP_DRIVERS=false
ARG TARGETARCH
ARG UBUNTU_VERSION=2404
ARG APT_MIRROR
ARG APT_PORTS_MIRROR
ENV BUILD_TYPE=${BUILD_TYPE} \
CUDA_MAJOR_VERSION=${CUDA_MAJOR_VERSION} \
CUDA_MINOR_VERSION=${CUDA_MINOR_VERSION} \
CMAKE_FROM_SOURCE=${CMAKE_FROM_SOURCE} \
CMAKE_VERSION=${CMAKE_VERSION} \
GRPC_VERSION=${GRPC_VERSION} \
GRPC_MAKEFLAGS=${GRPC_MAKEFLAGS} \
SKIP_DRIVERS=${SKIP_DRIVERS} \
TARGETARCH=${TARGETARCH} \
UBUNTU_VERSION=${UBUNTU_VERSION} \
APT_MIRROR=${APT_MIRROR} \
APT_PORTS_MIRROR=${APT_PORTS_MIRROR} \
DEBIAN_FRONTEND=noninteractive
# CUDA on PATH (a no-op when CUDA is not installed, e.g. cpu/vulkan builds).
ENV PATH=/usr/local/cuda/bin:${PATH}
WORKDIR /build
# apt deps + cmake + protoc + gRPC + conditional CUDA/Vulkan, all from the
# shared script (the source of truth that base-grpc-builder also runs).
RUN --mount=type=bind,source=.docker/install-base-deps.sh,target=/usr/local/sbin/install-base-deps \
--mount=type=bind,source=.docker/apt-mirror.sh,target=/usr/local/sbin/apt-mirror \
bash /usr/local/sbin/install-base-deps
# install-base-deps installs gRPC under /opt/grpc; copy it to /usr/local so the
# backend's find_package(gRPC CONFIG) resolves it at the canonical prefix.
RUN cp -a /opt/grpc/. /usr/local/
COPY . /LocalAI
RUN --mount=type=cache,target=/root/.ccache,id=privacy-filter-ccache-${TARGETARCH}-${BUILD_TYPE},sharing=locked \
make -C /LocalAI/backend/cpp/privacy-filter BUILD_TYPE=${BUILD_TYPE} NATIVE=false grpc-server package
# ============================================================================
# Stage: builder-prebuilt — FROM a prebuilt
# quay.io/go-skynet/ci-cache:base-grpc-* image (gRPC at /opt/grpc + apt deps +
# CUDA/Vulkan already installed). Used in CI when the matrix entry sets
# builder-base-image.
# ============================================================================
FROM ${BUILDER_BASE_IMAGE} AS builder-prebuilt
ARG BUILD_TYPE
ARG TARGETARCH
ENV BUILD_TYPE=${BUILD_TYPE}
# CUDA on PATH (a no-op for the cpu/vulkan base images).
ENV PATH=/usr/local/cuda/bin:${PATH}
# Mirror builder-fromsource: the base-grpc image installs gRPC to /opt/grpc but
# does not copy it to /usr/local.
RUN cp -a /opt/grpc/. /usr/local/
COPY . /LocalAI
RUN --mount=type=cache,target=/root/.ccache,id=privacy-filter-ccache-${TARGETARCH}-${BUILD_TYPE},sharing=locked \
make -C /LocalAI/backend/cpp/privacy-filter BUILD_TYPE=${BUILD_TYPE} NATIVE=false grpc-server package
# ============================================================================
# Final stage — copy the package output from the selected builder. BuildKit
# does not expand variables in `COPY --from=`, so alias the chosen builder to a
# fixed stage name first.
# ============================================================================
FROM ${BUILDER_TARGET} AS builder
FROM scratch
COPY --from=builder /LocalAI/backend/cpp/privacy-filter/package/. ./

View File

@@ -126,7 +126,6 @@ RUN <<EOT bash
apt-get update && \
apt-get install -y --no-install-recommends \
cuda-nvcc-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
cuda-nvrtc-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
libcufft-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
libcurand-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \

View File

@@ -24,7 +24,6 @@ service Backend {
rpc TokenizeString(PredictOptions) returns (TokenizationResponse) {}
rpc Status(HealthMessage) returns (StatusResponse) {}
rpc Detect(DetectOptions) returns (DetectResponse) {}
rpc Depth(DepthRequest) returns (DepthResponse) {}
rpc FaceVerify(FaceVerifyRequest) returns (FaceVerifyResponse) {}
rpc FaceAnalyze(FaceAnalyzeRequest) returns (FaceAnalyzeResponse) {}
rpc VoiceVerify(VoiceVerifyRequest) returns (VoiceVerifyResponse) {}
@@ -538,15 +537,6 @@ message TTSRequest {
string dst = 3;
string voice = 4;
optional string language = 5;
// instructions is a free-form, per-request style/voice description (maps to
// the OpenAI `instructions` field). Backends that support expressive synthesis
// (e.g. Qwen3-TTS CustomVoice/VoiceDesign) prefer this over the static YAML
// option when set; backends that don't simply ignore it.
optional string instructions = 6;
// params carries optional, backend-specific per-request generation parameters
// (e.g. Chatterbox exaggeration/cfg_weight/temperature). Values are strings and
// coerced by the backend; unset leaves the backend's configured defaults.
map<string, string> params = 7;
}
message VADRequest {
@@ -671,35 +661,6 @@ message DetectResponse {
repeated Detection Detections = 1;
}
// --- Depth estimation messages (Depth Anything 3) ---
message DepthRequest {
string src = 1; // input image (filesystem path or base64-encoded payload)
string dst = 2; // optional output directory for exports (glb/colmap)
bool include_depth = 3; // return the per-pixel metric depth map
bool include_confidence = 4; // return the per-pixel confidence map (DualDPT)
bool include_pose = 5; // return camera extrinsics/intrinsics (DualDPT)
bool include_sky = 6; // return the per-pixel sky map (mono models)
bool include_points = 7; // back-project to a 3D point cloud (DualDPT)
float points_conf_thresh = 8; // keep points with confidence >= this threshold
repeated string exports = 9; // requested exports: "glb", "colmap"
}
message DepthResponse {
int32 width = 1; // processed depth-map width
int32 height = 2; // processed depth-map height
repeated float depth = 3; // width*height row-major metric depth
repeated float confidence = 4; // width*height row-major confidence (DualDPT)
repeated float sky = 5; // width*height row-major sky map (mono)
repeated float extrinsics = 6; // 12 floats, 3x4 row-major (world-to-camera)
repeated float intrinsics = 7; // 9 floats, 3x3 row-major
int32 num_points = 8; // number of 3D points
repeated float points = 9; // num_points*3 xyz, world space
bytes point_colors = 10; // num_points*3 uint8 rgb
repeated string export_paths = 11; // paths written for the requested exports
bool is_metric = 12; // depth is in metric units
}
// --- Face recognition messages ---
message FacialArea {

View File

@@ -2,7 +2,6 @@ ds4/
build/
package/
grpc-server
ds4-worker
*.o
backend.pb.cc
backend.pb.h

View File

@@ -9,22 +9,6 @@ option(DS4_NATIVE "Compile with -march=native / -mcpu=native" ON)
set(DS4_GPU "cpu" CACHE STRING "GPU backend: cpu, cuda, or metal")
set(DS4_DIR "${CMAKE_CURRENT_SOURCE_DIR}/ds4" CACHE PATH "Path to cloned ds4 source")
if(${CMAKE_SYSTEM_NAME} MATCHES "Darwin")
# Homebrew installs protobuf/grpc under a non-default prefix. The generated
# backend.pb.cc / backend.grpc.pb.cc pull in google/protobuf and grpcpp
# headers, but the hw_grpc_proto library links neither target, so on macOS
# the headers (e.g. google/protobuf/runtime_version.h) are never on the
# compiler's include path. Add the Homebrew prefix globally, matching the
# llama-cpp backend which builds on Darwin CI.
if(CMAKE_HOST_SYSTEM_PROCESSOR MATCHES "arm64")
set(HOMEBREW_DEFAULT_PREFIX "/opt/homebrew")
else()
set(HOMEBREW_DEFAULT_PREFIX "/usr/local")
endif()
link_directories("${HOMEBREW_DEFAULT_PREFIX}/lib")
include_directories("${HOMEBREW_DEFAULT_PREFIX}/include")
endif()
find_package(Threads REQUIRED)
find_package(Protobuf CONFIG QUIET)
if(NOT Protobuf_FOUND)
@@ -76,13 +60,6 @@ elseif(DS4_GPU STREQUAL "cpu")
set(DS4_OBJS "${DS4_DIR}/ds4_cpu.o")
endif()
# ds4.c now references ds4_distributed.c (distributed inference) and ds4_ssd.c
# (SSD expert-cache), each split into its own translation unit upstream. Both
# are GPU-agnostic objects shared by every GPU mode, so link them in regardless
# of DS4_GPU.
list(APPEND DS4_OBJS "${DS4_DIR}/ds4_distributed.o")
list(APPEND DS4_OBJS "${DS4_DIR}/ds4_ssd.o")
add_executable(${TARGET}
grpc-server.cpp
dsml_parser.cpp
@@ -122,36 +99,3 @@ if(DS4_NATIVE)
target_compile_options(${TARGET} PRIVATE -march=native)
endif()
endif()
# ds4-worker: standalone distributed worker. Links the same ds4 engine objects
# (including ds4_distributed.o) but has NO gRPC/protobuf dependency - it speaks
# ds4's own TCP transport via ds4_dist_run(). Buildable wherever the engine
# objects build, even on hosts without protobuf/grpc dev headers.
add_executable(ds4-worker worker_main.c)
target_include_directories(ds4-worker PRIVATE ${DS4_DIR})
foreach(obj ${DS4_OBJS})
target_sources(ds4-worker PRIVATE ${obj})
set_source_files_properties(${obj} PROPERTIES EXTERNAL_OBJECT TRUE GENERATED TRUE)
endforeach()
# worker_main.c is C, but the engine objects built by nvcc (ds4_cuda.o) and the
# Metal path (ds4_metal.o, Obj-C++) reference the C++ runtime (libstdc++). Force
# the C++ linker driver so those symbols resolve; the C driver would not link
# libstdc++ and the CUDA/Metal builds fail with undefined std:: references.
set_target_properties(ds4-worker PROPERTIES LINKER_LANGUAGE CXX)
target_link_libraries(ds4-worker PRIVATE Threads::Threads m)
if(DS4_GPU STREQUAL "cuda")
target_link_libraries(ds4-worker PRIVATE CUDA::cudart CUDA::cublas)
elseif(DS4_GPU STREQUAL "metal")
target_link_libraries(ds4-worker PRIVATE ${FOUNDATION_LIB} ${METAL_LIB})
elseif(DS4_GPU STREQUAL "cpu")
target_compile_definitions(ds4-worker PRIVATE DS4_NO_GPU)
endif()
if(DS4_NATIVE)
if(APPLE)
target_compile_options(ds4-worker PRIVATE -mcpu=native)
else()
target_compile_options(ds4-worker PRIVATE -march=native)
endif()
endif()

View File

@@ -1,10 +1,10 @@
# ds4 backend Makefile.
#
# Upstream pin lives below as DS4_VERSION?=80ebbc396aee40eedc1d829222f3362d10fa4c6c
# Upstream pin lives below as DS4_VERSION?=f91c12b50a1448527c435c028bfc70d1b00f6c33
# (.github/bump_deps.sh) can find and update it - matches the
# llama-cpp / ik-llama-cpp / turboquant convention.
DS4_VERSION?=80ebbc396aee40eedc1d829222f3362d10fa4c6c
DS4_VERSION?=f91c12b50a1448527c435c028bfc70d1b00f6c33
DS4_REPO?=https://github.com/antirez/ds4
CURRENT_MAKEFILE_DIR := $(dir $(abspath $(lastword $(MAKEFILE_LIST))))
@@ -18,20 +18,16 @@ UNAME_S := $(shell uname -s)
CMAKE_ARGS ?= -DCMAKE_BUILD_TYPE=Release
# ds4_distributed.o and ds4_ssd.o are GPU-agnostic translation units that
# ds4.c/ds4_cpu.o now reference (upstream split distributed inference and the
# SSD expert-cache into their own .c files). Both objects are shared by every
# GPU mode, so they are appended unconditionally below.
ifeq ($(BUILD_TYPE),cublas)
CMAKE_ARGS += -DDS4_GPU=cuda
DS4_OBJ_TARGET := ds4.o ds4_cuda.o ds4_distributed.o ds4_ssd.o
DS4_OBJ_TARGET := ds4.o ds4_cuda.o
else ifeq ($(UNAME_S),Darwin)
CMAKE_ARGS += -DDS4_GPU=metal
DS4_OBJ_TARGET := ds4.o ds4_metal.o ds4_distributed.o ds4_ssd.o
DS4_OBJ_TARGET := ds4.o ds4_metal.o
else
# CPU reference path (Linux only - macOS CPU path is broken by VM bug per ds4 README).
CMAKE_ARGS += -DDS4_GPU=cpu
DS4_OBJ_TARGET := ds4_cpu.o ds4_distributed.o ds4_ssd.o
DS4_OBJ_TARGET := ds4_cpu.o
endif
ifneq ($(NATIVE),true)
@@ -56,18 +52,17 @@ ds4:
# the right per-platform compile flags (Objective-C/Metal on Darwin, nvcc on Linux+CUDA).
ds4/ds4.o: ds4
ifeq ($(BUILD_TYPE),cublas)
+$(MAKE) -C ds4 ds4.o ds4_cuda.o ds4_distributed.o ds4_ssd.o
+$(MAKE) -C ds4 ds4.o ds4_cuda.o
else ifeq ($(UNAME_S),Darwin)
+$(MAKE) -C ds4 ds4.o ds4_metal.o ds4_distributed.o ds4_ssd.o
+$(MAKE) -C ds4 ds4.o ds4_metal.o
else
+$(MAKE) -C ds4 ds4_cpu.o ds4_distributed.o ds4_ssd.o
+$(MAKE) -C ds4 ds4_cpu.o
endif
grpc-server: ds4/ds4.o
mkdir -p $(BUILD_DIR)
cd $(BUILD_DIR) && cmake $(CMAKE_ARGS) $(CURRENT_MAKEFILE_DIR) && cmake --build . --config Release -j $(JOBS)
cp $(BUILD_DIR)/grpc-server grpc-server
cp $(BUILD_DIR)/ds4-worker ds4-worker
package: grpc-server
bash package.sh
@@ -76,7 +71,7 @@ test:
@echo "ds4 backend: e2e coverage at tests/e2e-backends/ (BACKEND_BINARY mode)"
clean:
rm -rf $(BUILD_DIR) grpc-server ds4-worker package
rm -rf $(BUILD_DIR) grpc-server package
if [ -d ds4 ]; then $(MAKE) -C ds4 clean; fi
purge: clean

View File

@@ -23,13 +23,8 @@ extern "C" {
#include <atomic>
#include <chrono>
#include <climits>
#include <csignal>
#include <cstddef>
#include <cstdint>
#include <cstdlib>
#include <cstring>
#include <ctime>
#include <iostream>
#include <memory>
#include <mutex>
@@ -56,12 +51,6 @@ ds4_session *g_session = nullptr;
int g_ctx_size = 32768;
std::string g_kv_cache_dir; // empty disables disk cache
// Distributed coordinator state. g_distributed is set true when LoadModel is
// given 'ds4_role:coordinator'; generation then waits for the worker route to
// form before running. Single-node behavior is unchanged when unset.
bool g_distributed = false;
int g_route_timeout_sec = 60;
std::atomic<Server *> g_server{nullptr};
// Parse a "key:value" option string. Returns empty when no colon.
@@ -71,201 +60,6 @@ static std::pair<std::string, std::string> split_option(const std::string &opt)
return {opt.substr(0, colon), opt.substr(colon + 1)};
}
// Parse a positive base-10 integer. Returns false (without throwing) on empty,
// trailing garbage, non-positive, or overflow - unlike std::stoi.
static bool parse_positive_int(const std::string &s, int *out) {
if (s.empty()) return false;
char *end = nullptr;
long v = std::strtol(s.c_str(), &end, 10);
if (!end || *end != '\0' || v <= 0 || v > INT_MAX) return false;
*out = static_cast<int>(v);
return true;
}
// Parse a ds4 layer spec "START:END" or "START:output" into the engine's
// distributed layer fields. Returns false on malformed input.
static bool parse_layers_spec(const std::string &spec, ds4_distributed_layers *out) {
auto colon = spec.find(':');
if (colon == std::string::npos) return false;
std::string lhs = spec.substr(0, colon);
std::string rhs = spec.substr(colon + 1);
if (lhs.empty() || rhs.empty()) return false;
char *end = nullptr;
long start = std::strtol(lhs.c_str(), &end, 10);
if (!end || *end != '\0' || start < 0) return false;
out->start = static_cast<uint32_t>(start);
out->has_output = false;
if (rhs == "output") {
out->has_output = true;
out->end = out->start; // engine treats has_output as "through final layer"
} else {
long e = std::strtol(rhs.c_str(), &end, 10);
if (!end || *end != '\0' || e < start) return false;
out->end = static_cast<uint32_t>(e);
}
out->set = true;
return true;
}
// Parse a boolean LoadModel option. An empty value (a bare flag-style option
// like "ssd_streaming" with no colon) means true so model YAMLs can write
// options: ["ssd_streaming"] to enable a switch.
static bool parse_bool_option(const std::string &s, bool *out) {
if (s.empty() || s == "true" || s == "1" || s == "yes" || s == "on") { *out = true; return true; }
if (s == "false" || s == "0" || s == "no" || s == "off") { *out = false; return true; }
return false;
}
// Table-driven mapping from LoadModel option keys to ds4_engine_options fields.
// ds4_engine_options is a fixed C struct with no reflection, so the field set
// is enumerated once here; adding a future engine knob is a one-line table
// entry rather than a new branch in LoadModel. Two fields need ds4's own typed
// parsers (Gib, CacheExperts) so a plain string passthrough can't cover them.
enum class DsOptType { Bool, Int, Uint, Float, Str, Gib, CacheExperts };
struct DsOptSpec {
const char *key;
DsOptType type;
size_t off; // byte offset into ds4_engine_options
size_t off2; // second offset (CacheExperts writes experts + bytes)
bool is_path; // Str values: resolve a relative value against the model dir
};
static const DsOptSpec kEngineOptSpecs[] = {
{"mtp_path", DsOptType::Str, offsetof(ds4_engine_options, mtp_path), 0, true},
{"mtp_draft", DsOptType::Int, offsetof(ds4_engine_options, mtp_draft_tokens), 0},
{"mtp_margin", DsOptType::Float, offsetof(ds4_engine_options, mtp_margin), 0},
{"prefill_chunk", DsOptType::Uint, offsetof(ds4_engine_options, prefill_chunk), 0},
{"power_percent", DsOptType::Int, offsetof(ds4_engine_options, power_percent), 0},
{"warm_weights", DsOptType::Bool, offsetof(ds4_engine_options, warm_weights), 0},
{"quality", DsOptType::Bool, offsetof(ds4_engine_options, quality), 0},
{"ssd_streaming", DsOptType::Bool, offsetof(ds4_engine_options, ssd_streaming), 0},
{"ssd_streaming_cold", DsOptType::Bool, offsetof(ds4_engine_options, ssd_streaming_cold), 0},
{"ssd_streaming_preload_experts", DsOptType::Uint, offsetof(ds4_engine_options, ssd_streaming_preload_experts), 0},
{"ssd_streaming_cache_experts", DsOptType::CacheExperts, offsetof(ds4_engine_options, ssd_streaming_cache_experts),
offsetof(ds4_engine_options, ssd_streaming_cache_bytes)},
{"simulate_used_memory", DsOptType::Gib, offsetof(ds4_engine_options, simulate_used_memory_bytes), 0},
{"expert_profile_path", DsOptType::Str, offsetof(ds4_engine_options, expert_profile_path), 0, true},
{"directional_steering_file", DsOptType::Str, offsetof(ds4_engine_options, directional_steering_file), 0, true},
{"directional_steering_attn", DsOptType::Float, offsetof(ds4_engine_options, directional_steering_attn), 0},
{"directional_steering_ffn", DsOptType::Float, offsetof(ds4_engine_options, directional_steering_ffn), 0},
};
// Apply a single key:value LoadModel option to the engine options struct.
// Unknown keys are ignored (back-compat: callers pass mixed option sets).
// String values are copied into `storage`, whose elements the engine reads by
// pointer during ds4_engine_open; `storage` MUST have reserved capacity so
// push_back never reallocates and dangles an earlier c_str(). Returns false
// with `err` set when a recognized key has an invalid value.
static bool apply_engine_option(ds4_engine_options *opt, const std::string &key,
const std::string &val, const std::string &model_dir,
std::vector<std::string> &storage, std::string &err) {
const DsOptSpec *spec = nullptr;
for (const auto &s : kEngineOptSpecs) {
if (key == s.key) { spec = &s; break; }
}
if (!spec) return true; // unknown key: ignore
char *base = reinterpret_cast<char *>(opt);
switch (spec->type) {
case DsOptType::Bool: {
bool b = false;
if (!parse_bool_option(val, &b)) { err = key + " must be true/false"; return false; }
*reinterpret_cast<bool *>(base + spec->off) = b;
return true;
}
case DsOptType::Int: {
char *end = nullptr;
long v = std::strtol(val.c_str(), &end, 10);
if (val.empty() || !end || *end != '\0') { err = key + " must be an integer"; return false; }
*reinterpret_cast<int *>(base + spec->off) = static_cast<int>(v);
return true;
}
case DsOptType::Uint: {
char *end = nullptr;
long v = std::strtol(val.c_str(), &end, 10);
if (val.empty() || !end || *end != '\0' || v < 0 || v > static_cast<long>(UINT32_MAX)) {
err = key + " must be a non-negative integer"; return false;
}
*reinterpret_cast<uint32_t *>(base + spec->off) = static_cast<uint32_t>(v);
return true;
}
case DsOptType::Float: {
char *end = nullptr;
float f = std::strtof(val.c_str(), &end);
if (val.empty() || !end || *end != '\0') { err = key + " must be a number"; return false; }
*reinterpret_cast<float *>(base + spec->off) = f;
return true;
}
case DsOptType::Str: {
// Resolve a relative path option (e.g. mtp_path: a sibling GGUF the
// gallery downloaded next to the model) against the model directory, so
// YAMLs reference companion files by name. Absolute values pass through.
if (spec->is_path && !model_dir.empty() && !val.empty() && val.front() != '/') {
storage.push_back(model_dir + "/" + val);
} else {
storage.push_back(val);
}
*reinterpret_cast<const char **>(base + spec->off) = storage.back().c_str();
return true;
}
case DsOptType::Gib: {
uint64_t bytes = 0;
if (!ds4_parse_gib_arg(val.c_str(), &bytes)) {
err = key + " must be a GiB value, e.g. 64GB"; return false;
}
*reinterpret_cast<uint64_t *>(base + spec->off) = bytes;
return true;
}
case DsOptType::CacheExperts: {
uint32_t experts = 0;
uint64_t bytes = 0;
if (!ds4_parse_streaming_cache_experts_arg(val.c_str(), &experts, &bytes)) {
err = key + " must be a positive expert count or a <number>GB budget"; return false;
}
*reinterpret_cast<uint32_t *>(base + spec->off) = experts;
*reinterpret_cast<uint64_t *>(base + spec->off2) = bytes;
return true;
}
}
return true;
}
// When acting as a distributed coordinator, block until the worker route
// covers all layers (ds4_session_distributed_route_ready == 1) or the timeout
// elapses. Returns an empty string on success, or an error message to return
// to the client. No-op when not distributed.
//
// Takes the g_engine_mu lock by reference and RELEASES it during each poll
// sleep. The wait can span up to g_route_timeout_sec seconds while workers
// connect; holding g_engine_mu the whole time would block the Status/Health
// readiness probes (they also lock g_engine_mu), making LocalAI's loader treat
// a still-starting worker as hung.
static std::string wait_route_ready(std::unique_lock<std::mutex> &lock) {
if (!g_distributed) return "";
char err[256] = {0};
const int deadline_polls = g_route_timeout_sec * 10; // 100ms per poll
for (int i = 0; i <= deadline_polls; ++i) {
int ready = ds4_session_distributed_route_ready(g_session, err, sizeof(err));
if (ready == 1) return "";
if (ready < 0) {
return std::string("ds4 distributed route error: ") +
(err[0] ? err : "unknown");
}
// Release the lock while sleeping so Status/Health and other RPCs can
// interleave during worker startup.
lock.unlock();
struct timespec ts = {0, 100L * 1000L * 1000L}; // 100ms
nanosleep(&ts, nullptr);
lock.lock();
// A concurrent Free() may have torn down the engine while we slept.
if (!g_engine || !g_session) {
return "ds4: model unloaded while waiting for distributed route";
}
}
return "ds4 distributed route incomplete: workers not connected (layers uncovered)";
}
static void append_token_text(ds4_engine *engine, int token, std::string &out) {
size_t len = 0;
const char *text = ds4_token_text(engine, token, &len);
@@ -583,11 +377,6 @@ public:
backend::Result *result) override {
std::lock_guard<std::mutex> lock(g_engine_mu);
// Reset distributed state so a model swap (a second LoadModel without
// ds4_role) doesn't inherit a stale coordinator configuration.
g_distributed = false;
g_route_timeout_sec = 60;
if (g_engine) {
if (g_session) { ds4_session_free(g_session); g_session = nullptr; }
ds4_engine_close(g_engine);
@@ -602,10 +391,28 @@ public:
return GStatus::OK;
}
std::string mtp_path;
int mtp_draft = 0;
float mtp_margin = 3.0f;
for (const auto &opt : request->options()) {
auto [k, v] = split_option(opt);
if (k == "mtp_path") mtp_path = v;
else if (k == "mtp_draft") mtp_draft = std::stoi(v);
else if (k == "mtp_margin") mtp_margin = std::stof(v);
else if (k == "kv_cache_dir") g_kv_cache_dir = v;
}
g_kv_cache.SetDir(g_kv_cache_dir);
ds4_engine_options opt = {};
opt.model_path = model_path.c_str();
opt.mtp_path = mtp_path.empty() ? nullptr : mtp_path.c_str();
opt.n_threads = request->threads() > 0 ? request->threads() : 0;
opt.mtp_margin = 3.0f; // ds4 default; overridable via the mtp_margin option
opt.mtp_draft_tokens = mtp_draft;
opt.mtp_margin = mtp_margin;
opt.directional_steering_file = nullptr;
opt.warm_weights = false;
opt.quality = false;
#if defined(DS4_NO_GPU)
opt.backend = DS4_BACKEND_CPU;
@@ -615,89 +422,6 @@ public:
opt.backend = DS4_BACKEND_CUDA;
#endif
// Stable storage for string-valued engine options. The engine reads
// these by pointer during ds4_engine_open, so the std::string backing
// store must outlive the call and not reallocate; reserve up front so
// push_back keeps every prior c_str() valid. Static + clear() reuses
// the buffer across LoadModel calls (the old engine is closed above).
static std::vector<std::string> s_opt_strings;
s_opt_strings.clear();
s_opt_strings.reserve(sizeof(kEngineOptSpecs) / sizeof(kEngineOptSpecs[0]));
// Directory of the main model, used to resolve relative path options.
std::string model_dir;
if (auto slash = model_path.find_last_of('/'); slash != std::string::npos) {
model_dir = model_path.substr(0, slash);
}
std::string ds4_role, ds4_layers, ds4_listen;
for (const auto &o : request->options()) {
auto [k, v] = split_option(o);
if (k == "kv_cache_dir") { g_kv_cache_dir = v; continue; }
else if (k == "ds4_role") { ds4_role = v; continue; }
else if (k == "ds4_layers") { ds4_layers = v; continue; }
else if (k == "ds4_listen") { ds4_listen = v; continue; }
else if (k == "ds4_route_timeout") {
if (!parse_positive_int(v, &g_route_timeout_sec)) {
result->set_success(false);
result->set_message("ds4: ds4_route_timeout must be a positive integer");
return GStatus::OK;
}
continue;
}
std::string err;
if (!apply_engine_option(&opt, k, v, model_dir, s_opt_strings, err)) {
result->set_success(false);
result->set_message("ds4: " + err);
return GStatus::OK;
}
}
g_kv_cache.SetDir(g_kv_cache_dir);
// Coordinator wiring. 'ds4_role:coordinator' enables layer-split
// distributed inference: this process listens on ds4_listen and owns
// the ds4_layers slice; workers dial in (see `local-ai worker
// ds4-distributed`). Absent ds4_role => unchanged single-node path.
// Must be static: opt.distributed.listen_host is a const char* the
// engine retains past this call, so it cannot point at a local that
// goes out of scope (otherwise a future "simplify to local" refactor
// reintroduces a dangling pointer).
static std::string s_listen_host;
if (ds4_role == "coordinator") {
if (ds4_layers.empty() || ds4_listen.empty()) {
result->set_success(false);
result->set_message("ds4: ds4_role:coordinator requires ds4_layers and ds4_listen");
return GStatus::OK;
}
// host:port for IPv4/hostname; IPv6 literals are unsupported (the
// first colon would split inside the address).
auto host_port = split_option(ds4_listen); // "host:port" -> {host, port}
if (host_port.second.empty()) {
result->set_success(false);
result->set_message("ds4: ds4_listen must be host:port");
return GStatus::OK;
}
int listen_port = 0;
if (!parse_positive_int(host_port.second, &listen_port)) {
result->set_success(false);
result->set_message("ds4: ds4_listen port must be a positive integer");
return GStatus::OK;
}
ds4_distributed_layers layers = {};
if (!parse_layers_spec(ds4_layers, &layers)) {
result->set_success(false);
result->set_message("ds4: invalid ds4_layers (want START:END or START:output)");
return GStatus::OK;
}
s_listen_host = host_port.first;
opt.distributed.role = DS4_DISTRIBUTED_COORDINATOR;
opt.distributed.layers = layers;
opt.distributed.listen_host = s_listen_host.c_str();
opt.distributed.listen_port = listen_port;
g_distributed = true;
}
int rc = ds4_engine_open(&g_engine, &opt);
if (rc != 0 || !g_engine) {
result->set_success(false);
@@ -734,13 +458,10 @@ public:
GStatus Predict(ServerContext *, const backend::PredictOptions *request,
backend::Reply *reply) override {
std::unique_lock<std::mutex> lock(g_engine_mu);
std::lock_guard<std::mutex> lock(g_engine_mu);
if (!g_engine || !g_session) {
return GStatus(StatusCode::FAILED_PRECONDITION, "ds4: model not loaded");
}
if (std::string route_err = wait_route_ready(lock); !route_err.empty()) {
return GStatus(StatusCode::UNAVAILABLE, route_err);
}
ds4_tokens prompt = {};
build_prompt(g_engine, request, &prompt);
int n_predict = request->tokens() > 0 ? request->tokens() : 256;
@@ -833,13 +554,10 @@ public:
GStatus PredictStream(ServerContext *, const backend::PredictOptions *request,
ServerWriter<backend::Reply> *writer) override {
std::unique_lock<std::mutex> lock(g_engine_mu);
std::lock_guard<std::mutex> lock(g_engine_mu);
if (!g_engine || !g_session) {
return GStatus(StatusCode::FAILED_PRECONDITION, "ds4: model not loaded");
}
if (std::string route_err = wait_route_ready(lock); !route_err.empty()) {
return GStatus(StatusCode::UNAVAILABLE, route_err);
}
ds4_tokens prompt = {};
build_prompt(g_engine, request, &prompt);
int n_predict = request->tokens() > 0 ? request->tokens() : 256;

View File

@@ -5,8 +5,7 @@ REPO_ROOT="${CURDIR}/../../.."
mkdir -p "$CURDIR/package/lib"
cp -avf "$CURDIR/grpc-server" "$CURDIR/package/"
cp -avf "$CURDIR/ds4-worker" "$CURDIR/package/"
cp -rfv "$CURDIR/run.sh" "$CURDIR/package/"
cp -rfv "$CURDIR/run.sh" "$CURDIR/package/"
UNAME_S=$(uname -s)
if [ "$UNAME_S" = "Darwin" ]; then

View File

@@ -1,126 +0,0 @@
// ds4-worker: standalone distributed worker for the LocalAI ds4 backend.
//
// A ds4 distributed worker owns a slice of the model's transformer layers,
// dials the coordinator, and serves activations for its slice. It does NOT
// speak backend.proto - it speaks ds4's own TCP transport via ds4_dist_run().
// This binary is intentionally minimal (no HTTP/web/kvstore/linenoise): it
// only needs the engine objects + ds4_distributed.o, which the backend already
// builds. It is launched by `local-ai worker ds4-distributed`.
//
// Usage:
// ds4-worker --role worker --model <gguf> --layers 20:output \
// --coordinator <host> <port> [--cpu|--cuda|--metal] [-c CTX] [-t N]
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <signal.h>
#include <limits.h>
#include "ds4.h"
#include "ds4_distributed.h"
static const char *need_arg(int *i, int argc, char **argv, const char *flag) {
if (*i + 1 >= argc) {
fprintf(stderr, "ds4-worker: missing value for %s\n", flag);
exit(2);
}
return argv[++(*i)];
}
static int parse_int_arg(const char *s, const char *flag) {
char *end = NULL;
long v = strtol(s, &end, 10);
if (!s[0] || *end || v <= 0 || v > INT_MAX) {
fprintf(stderr, "ds4-worker: invalid value for %s: %s\n", flag, s);
exit(2);
}
return (int)v;
}
static ds4_backend default_backend(void) {
#if defined(DS4_NO_GPU)
return DS4_BACKEND_CPU;
#elif defined(__APPLE__)
return DS4_BACKEND_METAL;
#else
return DS4_BACKEND_CUDA;
#endif
}
int main(int argc, char **argv) {
signal(SIGPIPE, SIG_IGN);
ds4_engine_options opt = {0};
opt.backend = default_backend();
int ctx_size = 32768;
for (int i = 1; i < argc; i++) {
const char *arg = argv[i];
if (!strcmp(arg, "-h") || !strcmp(arg, "--help")) {
fprintf(stdout, "ds4-worker: standalone ds4 distributed worker\n");
ds4_dist_usage(stdout);
fprintf(stdout, " -m, --model PATH model GGUF (the worker loads only its --layers slice)\n");
fprintf(stdout, " -c, --ctx N context size (default 32768)\n");
fprintf(stdout, " -t, --threads N CPU threads\n");
fprintf(stdout, " --cpu|--cuda|--metal backend override\n");
return 0;
}
char dist_err[256] = {0};
ds4_dist_cli_parse_result dist_parse =
ds4_dist_parse_cli_arg(arg, &i, argc, argv, &opt.distributed,
dist_err, sizeof(dist_err));
if (dist_parse == DS4_DIST_CLI_ERROR) {
fprintf(stderr, "ds4-worker: %s\n",
dist_err[0] ? dist_err : "invalid distributed option");
return 2;
}
if (dist_parse == DS4_DIST_CLI_MATCHED) continue;
if (!strcmp(arg, "-m") || !strcmp(arg, "--model")) {
opt.model_path = need_arg(&i, argc, argv, arg);
} else if (!strcmp(arg, "-c") || !strcmp(arg, "--ctx")) {
ctx_size = parse_int_arg(need_arg(&i, argc, argv, arg), arg);
} else if (!strcmp(arg, "-t") || !strcmp(arg, "--threads")) {
opt.n_threads = parse_int_arg(need_arg(&i, argc, argv, arg), arg);
} else if (!strcmp(arg, "--cpu")) {
opt.backend = DS4_BACKEND_CPU;
} else if (!strcmp(arg, "--cuda")) {
opt.backend = DS4_BACKEND_CUDA;
} else if (!strcmp(arg, "--metal")) {
opt.backend = DS4_BACKEND_METAL;
} else {
fprintf(stderr, "ds4-worker: unknown option: %s\n", arg);
return 2;
}
}
if (opt.distributed.role != DS4_DISTRIBUTED_WORKER) {
fprintf(stderr, "ds4-worker: --role worker is required\n");
return 2;
}
if (!opt.model_path) {
fprintf(stderr, "ds4-worker: --model is required\n");
return 2;
}
char prep_err[256] = {0};
if (ds4_dist_prepare_engine_options(&opt.distributed, &opt,
prep_err, sizeof(prep_err)) != 0) {
fprintf(stderr, "ds4-worker: %s\n", prep_err);
return 2;
}
ds4_engine *engine = NULL;
if (ds4_engine_open(&engine, &opt) != 0 || !engine) {
fprintf(stderr, "ds4-worker: failed to open engine\n");
return 1;
}
ds4_dist_generation_options gen = {0};
gen.ctx_size = ctx_size;
int rc = ds4_dist_run(engine, &opt.distributed, &gen);
ds4_engine_close(engine);
return rc;
}

View File

@@ -1,5 +1,5 @@
IK_LLAMA_VERSION?=71af16a6b7f6fb7315b346b4a51aad530599c3f5
IK_LLAMA_VERSION?=9f7ba245ab41e118f03aa8dd5134d18a81159d02
LLAMA_REPO?=https://github.com/ikawrakow/ik_llama.cpp
CMAKE_ARGS?=

View File

@@ -1,5 +1,5 @@
LLAMA_VERSION?=f3e182816421c648188b5eab269853bf1531d950
LLAMA_VERSION?=549b9d84330c327e6791fa812a7d60c0cf63572e
LLAMA_REPO?=https://github.com/ggerganov/llama.cpp
CMAKE_ARGS?=

View File

@@ -381,15 +381,6 @@ json parse_options(bool streaming, const backend::PredictOptions* predict, const
});
}
// for each video in the request, add the video data
for (int i = 0; i < predict->videos_size(); i++) {
data["video_data"].push_back(json
{
{"id", i},
{"data", predict->videos(i)},
});
}
data["stop"] = predict->stopprompts();
// data["n_probs"] = predict->nprobs();
//TODO: images,
@@ -491,13 +482,23 @@ static void params_parse(server_context& /*ctx_server*/, const backend::ModelOpt
if (!request->draftmodel().empty()) {
params.speculative.draft.mparams.path = request->draftmodel();
// Default to draft type if a draft model is set but no explicit type.
// Upstream made the speculative type a vector (ggml-org/llama.cpp#22838)
// and renamed COMMON_SPECULATIVE_TYPE_DRAFT -> ..._DRAFT_SIMPLE (#22964).
// Upstream (post ggml-org/llama.cpp#22838) made the speculative type a
// vector; the turboquant fork still uses the legacy scalar. The
// LOCALAI_LEGACY_LLAMA_CPP_SPEC macro is injected by
// backend/cpp/turboquant/patch-grpc-server.sh for fork builds only.
// Upstream renamed COMMON_SPECULATIVE_TYPE_DRAFT -> ..._DRAFT_SIMPLE
// in ggml-org/llama.cpp#22964; the fork still uses the old name.
#ifdef LOCALAI_LEGACY_LLAMA_CPP_SPEC
if (params.speculative.type == COMMON_SPECULATIVE_TYPE_NONE) {
params.speculative.type = COMMON_SPECULATIVE_TYPE_DRAFT;
}
#else
const bool no_spec_type = params.speculative.types.empty() ||
(params.speculative.types.size() == 1 && params.speculative.types[0] == COMMON_SPECULATIVE_TYPE_NONE);
if (no_spec_type) {
params.speculative.types = { COMMON_SPECULATIVE_TYPE_DRAFT_SIMPLE };
}
#endif
}
// params.model_alias ??
@@ -572,13 +573,8 @@ static void params_parse(server_context& /*ctx_server*/, const backend::ModelOpt
// checkpoint_min_step: minimum spacing between context checkpoints in
// tokens (0 disables the minimum). Match upstream's default (256). This
// field was renamed from `checkpoint_every_nt` in llama.cpp; the semantics
// also shifted from a fixed cadence to a minimum spacing. The turboquant
// fork still lacks common_params::checkpoint_min_step, so skip it there
// (LOCALAI_TURBOQUANT_NO_CHECKPOINT_MIN_STEP is injected by
// backend/cpp/turboquant/patch-grpc-server.sh).
#ifndef LOCALAI_TURBOQUANT_NO_CHECKPOINT_MIN_STEP
// also shifted from a fixed cadence to a minimum spacing.
params.checkpoint_min_step = 256;
#endif
// decode options. Options are in form optname:optvale, or if booleans only optname.
for (int i = 0; i < request->options_size(); i++) {
@@ -752,18 +748,11 @@ static void params_parse(server_context& /*ctx_server*/, const backend::ModelOpt
params.cache_idle_slots = false;
}
#ifndef LOCALAI_TURBOQUANT_NO_CHECKPOINT_MIN_STEP
// --- minimum context-checkpoint spacing (upstream -cms / --checkpoint-min-step) ---
// 0 disables the minimum-spacing gate. Old option names (`checkpoint_every_nt`,
// `checkpoint_every_n_tokens`) are kept as aliases for backward compatibility
// with existing user configs: upstream renamed the field and shifted its
// semantics from a fixed cadence to a minimum spacing.
//
// Gated out for the turboquant fork, which lacks common_params::
// checkpoint_min_step. The leading `}` closing the cache_idle_slots
// branch is removed with this block; the next `} else if` (n_ubatch)
// then closes cache_idle_slots, so braces stay balanced under both
// preprocessor branches.
} else if (!strcmp(optname, "checkpoint_min_step") || !strcmp(optname, "checkpoint_min_spacing") ||
!strcmp(optname, "checkpoint_every_nt") || !strcmp(optname, "checkpoint_every_n_tokens")) {
if (optval != NULL) {
@@ -773,7 +762,6 @@ static void params_parse(server_context& /*ctx_server*/, const backend::ModelOpt
// If conversion fails, keep default value (256)
}
}
#endif
// --- physical batch size (upstream -ub / --ubatch-size) ---
// Note: line ~482 already aliases n_ubatch to n_batch as a default; this
@@ -906,6 +894,17 @@ static void params_parse(server_context& /*ctx_server*/, const backend::ModelOpt
// Speculative decoding options
} else if (!strcmp(optname, "spec_type") || !strcmp(optname, "speculative_type")) {
#ifdef LOCALAI_LEGACY_LLAMA_CPP_SPEC
// Fork only knows a single scalar `type`. Take the first comma-
// separated value and assign it via the singular helper.
std::string first = optval_str;
const auto comma = first.find(',');
if (comma != std::string::npos) first = first.substr(0, comma);
auto type = common_speculative_type_from_name(first);
if (type != COMMON_SPECULATIVE_TYPE_COUNT) {
params.speculative.type = type;
}
#else
// Upstream switched to a vector of types (comma-separated for multi-type
// chaining via common_speculative_types_from_names). We keep accepting a
// single value here, but also tolerate comma-separated lists.
@@ -934,6 +933,7 @@ static void params_parse(server_context& /*ctx_server*/, const backend::ModelOpt
if (!parsed.empty()) {
params.speculative.types = parsed;
}
#endif
} else if (!strcmp(optname, "spec_n_max") || !strcmp(optname, "draft_max")) {
if (optval != NULL) {
try { params.speculative.draft.n_max = std::stoi(optval_str); } catch (...) {}
@@ -971,6 +971,21 @@ static void params_parse(server_context& /*ctx_server*/, const backend::ModelOpt
// shares the target context size. Accept the option for backward
// compatibility but silently ignore it.
// Everything below relies on struct shape introduced in ggml-org/llama.cpp#22838
// (parallel drafting): `ngram_mod`, `ngram_map_k`, `ngram_map_k4v`,
// `ngram_cache`, and the `draft.{cache_type_*, cpuparams*, tensor_buft_overrides}`
// fields. The turboquant fork branched before that, so its build defines
// LOCALAI_LEGACY_LLAMA_CPP_SPEC via patch-grpc-server.sh and these option
// keys become unrecognized (silently dropped, like any unknown opt) for it.
//
// The `#ifdef LOCALAI_LEGACY_LLAMA_CPP_SPEC` / `#else` split below sits at the
// closing-brace position of the `draft_ctx_size` branch on purpose: in the
// legacy build the chain ends here (the brace closes draft_ctx_size), and in
// the modern build the chain continues with `} else if (...)` instead, so the
// brace count stays balanced under both branches of the preprocessor.
#ifdef LOCALAI_LEGACY_LLAMA_CPP_SPEC
}
#else
// --- ngram_mod family (upstream --spec-ngram-mod-*) ---
} else if (!strcmp(optname, "spec_ngram_mod_n_min")) {
if (optval != NULL) {
@@ -1100,6 +1115,7 @@ static void params_parse(server_context& /*ctx_server*/, const backend::ModelOpt
}
if (!cur.empty()) flush(cur);
}
#endif // LOCALAI_LEGACY_LLAMA_CPP_SPEC — closes the `else`/`#ifdef` opened at draft_ctx_size
}
// Set params.n_parallel from environment variable if not set via options (fallback)
@@ -1149,8 +1165,6 @@ static void params_parse(server_context& /*ctx_server*/, const backend::ModelOpt
params.tensor_buft_overrides.push_back({nullptr, nullptr});
}
}
// Terminate the draft tensor_buft_overrides list with a sentinel, mirroring
// the main-model handling above.
if (!params.speculative.draft.tensor_buft_overrides.empty()) {
params.speculative.draft.tensor_buft_overrides.push_back({nullptr, nullptr});
}
@@ -1512,7 +1526,7 @@ public:
msg_json["role"] = msg.role();
bool is_last_user_msg = (i == last_user_msg_idx);
bool has_images_or_audio = (request->images_size() > 0 || request->audios_size() > 0 || request->videos_size() > 0);
bool has_images_or_audio = (request->images_size() > 0 || request->audios_size() > 0);
// Handle content - can be string, null, or array
// For multimodal content, we'll embed images/audio from separate fields
@@ -1563,16 +1577,6 @@ public:
content_array.push_back(audio_chunk);
}
}
if (request->videos_size() > 0) {
for (int j = 0; j < request->videos_size(); j++) {
json video_chunk;
video_chunk["type"] = "input_video";
json input_video;
input_video["data"] = request->videos(j);
video_chunk["input_video"] = input_video;
content_array.push_back(video_chunk);
}
}
msg_json["content"] = content_array;
} else {
// Use content as-is (already array or not last user message)
@@ -1607,16 +1611,6 @@ public:
content_array.push_back(audio_chunk);
}
}
if (request->videos_size() > 0) {
for (int j = 0; j < request->videos_size(); j++) {
json video_chunk;
video_chunk["type"] = "input_video";
json input_video;
input_video["data"] = request->videos(j);
video_chunk["input_video"] = input_video;
content_array.push_back(video_chunk);
}
}
msg_json["content"] = content_array;
} else if (msg.role() == "tool") {
// Tool role messages must have content field set, even if empty
@@ -1922,27 +1916,14 @@ public:
body_json["min_p"] = data["min_p"];
}
// Forward the chat_template_kwargs the Go layer resolved (model config
// chat_template_kwargs + per-request metadata: enable_thinking,
// reasoning_effort, preserve_thinking, ...). One generic merge replaces
// the previous per-key handling - new template levers need no C++ change.
// oaicompat_chat_params_parse reads these from body_json.
// Pass enable_thinking via chat_template_kwargs (where oaicompat_chat_params_parse reads it)
const auto& metadata = request->metadata();
auto ctk_it = metadata.find("chat_template_kwargs");
if (ctk_it != metadata.end() && !ctk_it->second.empty()) {
try {
json ctk = json::parse(ctk_it->second);
if (ctk.is_object()) {
if (!body_json.contains("chat_template_kwargs")) {
body_json["chat_template_kwargs"] = json::object();
}
for (auto& el : ctk.items()) {
body_json["chat_template_kwargs"][el.key()] = el.value();
}
}
} catch (const std::exception & e) {
SRV_WRN("failed to parse chat_template_kwargs metadata: %s\n", e.what());
auto et_it = metadata.find("enable_thinking");
if (et_it != metadata.end()) {
if (!body_json.contains("chat_template_kwargs")) {
body_json["chat_template_kwargs"] = json::object();
}
body_json["chat_template_kwargs"]["enable_thinking"] = (et_it->second == "true");
}
// Debug: Print full body_json before template processing (includes messages, tools, tool_choice, etc.)
@@ -2070,16 +2051,6 @@ public:
files.push_back(decoded_data);
}
}
const auto &video_data = data.find("video_data");
if (video_data != data.end() && video_data->is_array())
{
for (const auto &video : *video_data)
{
auto decoded_data = base64_decode(video["data"].get<std::string>());
files.push_back(decoded_data);
}
}
}
const bool has_mtmd = ctx_server.impl->mctx != nullptr;
@@ -2215,15 +2186,7 @@ public:
// content element — attaching to both would duplicate the first
// token since oaicompat_msg_diffs is the same for both.
json first_res_json = first_result->to_json();
// Upstream llama.cpp (ggml-org/llama.cpp#23884) now emits an initial
// "begin" partial whose to_json() returns null, used only to signal the
// HTTP layer to flush 200 status headers before any token. gRPC has no
// such concept, so there is nothing to emit — the real tokens arrive in
// the loop below. Feeding this null into build_reply_from_json would
// throw (uncaught) and surface as a generic RPC error.
if (first_res_json.is_null()) {
// skip the begin-of-stream marker
} else if (first_res_json.is_array()) {
if (first_res_json.is_array()) {
for (const auto & res : first_res_json) {
auto reply = build_reply_from_json(res, first_result.get());
// Skip chat deltas for role-init elements (have "role" in
@@ -2253,10 +2216,7 @@ public:
}
json res_json = result->to_json();
if (res_json.is_null()) {
// begin-of-stream marker (see note above) — nothing to emit
continue;
} else if (res_json.is_array()) {
if (res_json.is_array()) {
for (const auto & res : res_json) {
auto reply = build_reply_from_json(res, result.get());
bool is_role_init = res.contains("choices") && !res["choices"].empty() &&
@@ -2332,7 +2292,7 @@ public:
}
bool is_last_user_msg = (i == last_user_msg_idx);
bool has_images_or_audio = (request->images_size() > 0 || request->audios_size() > 0 || request->videos_size() > 0);
bool has_images_or_audio = (request->images_size() > 0 || request->audios_size() > 0);
// Handle content - can be string, null, or array
// For multimodal content, we'll embed images/audio from separate fields
@@ -2385,16 +2345,6 @@ public:
content_array.push_back(audio_chunk);
}
}
if (request->videos_size() > 0) {
for (int j = 0; j < request->videos_size(); j++) {
json video_chunk;
video_chunk["type"] = "input_video";
json input_video;
input_video["data"] = request->videos(j);
video_chunk["input_video"] = input_video;
content_array.push_back(video_chunk);
}
}
msg_json["content"] = content_array;
} else {
// Use content as-is (already array or not last user message)
@@ -2434,16 +2384,6 @@ public:
content_array.push_back(audio_chunk);
}
}
if (request->videos_size() > 0) {
for (int j = 0; j < request->videos_size(); j++) {
json video_chunk;
video_chunk["type"] = "input_video";
json input_video;
input_video["data"] = request->videos(j);
video_chunk["input_video"] = input_video;
content_array.push_back(video_chunk);
}
}
msg_json["content"] = content_array;
SRV_INF("[CONTENT DEBUG] Predict: Message %d created content array with media\n", i);
} else if (!msg.tool_calls().empty()) {
@@ -2758,26 +2698,14 @@ public:
body_json["min_p"] = data["min_p"];
}
// Forward the chat_template_kwargs the Go layer resolved (model config
// chat_template_kwargs + per-request metadata: enable_thinking,
// reasoning_effort, preserve_thinking, ...). One generic merge replaces
// the previous per-key handling - new template levers need no C++ change.
// Pass enable_thinking via chat_template_kwargs (where oaicompat_chat_params_parse reads it)
const auto& predict_metadata = request->metadata();
auto predict_ctk_it = predict_metadata.find("chat_template_kwargs");
if (predict_ctk_it != predict_metadata.end() && !predict_ctk_it->second.empty()) {
try {
json ctk = json::parse(predict_ctk_it->second);
if (ctk.is_object()) {
if (!body_json.contains("chat_template_kwargs")) {
body_json["chat_template_kwargs"] = json::object();
}
for (auto& el : ctk.items()) {
body_json["chat_template_kwargs"][el.key()] = el.value();
}
}
} catch (const std::exception & e) {
SRV_WRN("failed to parse chat_template_kwargs metadata: %s\n", e.what());
auto predict_et_it = predict_metadata.find("enable_thinking");
if (predict_et_it != predict_metadata.end()) {
if (!body_json.contains("chat_template_kwargs")) {
body_json["chat_template_kwargs"] = json::object();
}
body_json["chat_template_kwargs"]["enable_thinking"] = (predict_et_it->second == "true");
}
// Debug: Print full body_json before template processing (includes messages, tools, tool_choice, etc.)
@@ -2907,16 +2835,6 @@ public:
files.push_back(decoded_data);
}
}
const auto &video_data = data.find("video_data");
if (video_data != data.end() && video_data->is_array())
{
for (const auto &video : *video_data)
{
auto decoded_data = base64_decode(video["data"].get<std::string>());
files.push_back(decoded_data);
}
}
}
// process files
@@ -3489,7 +3407,7 @@ public:
if (body.count("prompt") != 0) {
const bool add_special = json_value(body, "add_special", false);
llama_tokens tokens = tokenize_mixed(ctx_server.impl->vocab, body.at("prompt"), add_special, true);
llama_tokens tokens = tokenize_mixed(ctx_server.impl->vocab, body.at("content"), add_special, true);
for (const auto& token : tokens) {

View File

@@ -1,9 +0,0 @@
/privacy-filter.cpp
build/
package/
grpc-server
*.o
backend.pb.cc
backend.pb.h
backend.grpc.pb.cc
backend.grpc.pb.h

View File

@@ -1,69 +0,0 @@
cmake_minimum_required(VERSION 3.21)
project(privacy-filter-grpc-server LANGUAGES CXX C)
set(CMAKE_CXX_STANDARD 17)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(TARGET grpc-server)
# Path to the privacy-filter.cpp engine sources. The Makefile arranges for this
# to exist (clone of a pinned commit, or a symlink to PRIVACY_FILTER_SRC).
set(PRIVACY_FILTER_DIR "${CMAKE_CURRENT_SOURCE_DIR}/privacy-filter.cpp"
CACHE PATH "Path to the privacy-filter.cpp engine source tree")
find_package(Threads REQUIRED)
find_package(Protobuf CONFIG QUIET)
if(NOT Protobuf_FOUND)
find_package(Protobuf REQUIRED)
endif()
find_package(gRPC CONFIG QUIET)
if(NOT gRPC_FOUND)
# Ubuntu's apt-installed grpc++ does not ship a CMake config - fall back.
find_library(GRPCPP_LIB grpc++ REQUIRED)
find_library(GRPCPP_REFLECTION_LIB grpc++_reflection REQUIRED)
add_library(gRPC::grpc++ INTERFACE IMPORTED)
set_target_properties(gRPC::grpc++ PROPERTIES INTERFACE_LINK_LIBRARIES "${GRPCPP_LIB}")
add_library(gRPC::grpc++_reflection INTERFACE IMPORTED)
set_target_properties(gRPC::grpc++_reflection PROPERTIES INTERFACE_LINK_LIBRARIES "${GRPCPP_REFLECTION_LIB}")
endif()
find_program(_PROTOC NAMES protoc REQUIRED)
find_program(_GRPC_CPP_PLUGIN NAMES grpc_cpp_plugin REQUIRED)
get_filename_component(HW_PROTO "${CMAKE_CURRENT_SOURCE_DIR}/../../backend.proto" ABSOLUTE)
get_filename_component(HW_PROTO_PATH "${HW_PROTO}" PATH)
set(HW_PROTO_SRCS "${CMAKE_CURRENT_BINARY_DIR}/backend.pb.cc")
set(HW_PROTO_HDRS "${CMAKE_CURRENT_BINARY_DIR}/backend.pb.h")
set(HW_GRPC_SRCS "${CMAKE_CURRENT_BINARY_DIR}/backend.grpc.pb.cc")
set(HW_GRPC_HDRS "${CMAKE_CURRENT_BINARY_DIR}/backend.grpc.pb.h")
add_custom_command(
OUTPUT "${HW_PROTO_SRCS}" "${HW_PROTO_HDRS}" "${HW_GRPC_SRCS}" "${HW_GRPC_HDRS}"
COMMAND ${_PROTOC}
ARGS --grpc_out "${CMAKE_CURRENT_BINARY_DIR}"
--cpp_out "${CMAKE_CURRENT_BINARY_DIR}"
-I "${HW_PROTO_PATH}"
--plugin=protoc-gen-grpc="${_GRPC_CPP_PLUGIN}"
"${HW_PROTO}"
DEPENDS "${HW_PROTO}")
add_library(hw_grpc_proto STATIC
${HW_GRPC_SRCS} ${HW_GRPC_HDRS}
${HW_PROTO_SRCS} ${HW_PROTO_HDRS})
target_include_directories(hw_grpc_proto PUBLIC ${CMAKE_CURRENT_BINARY_DIR})
# Build only the pf static lib (+ ggml) from the engine tree — no CLI/bench/tests.
# PF_VULKAN is honored when passed on the cmake command line (it lands in the
# shared cache the engine reads).
set(PF_BUILD_TOOLS OFF CACHE BOOL "" FORCE)
set(PF_BUILD_TESTS OFF CACHE BOOL "" FORCE)
add_subdirectory(${PRIVACY_FILTER_DIR} ${CMAKE_CURRENT_BINARY_DIR}/privacy-filter.cpp)
add_executable(${TARGET} grpc-server.cpp)
target_link_libraries(${TARGET} PRIVATE
pf
hw_grpc_proto
gRPC::grpc++
gRPC::grpc++_reflection
protobuf::libprotobuf
Threads::Threads)

View File

@@ -1,77 +0,0 @@
# privacy-filter backend Makefile.
#
# Wraps the standalone privacy-filter.cpp GGML engine (the openai-privacy-filter
# PII/NER token classifier) as a LocalAI gRPC backend. The engine source is
# fetched at the pin below — .github/workflows/bump_deps.yaml finds and updates
# PRIVACY_FILTER_VERSION, matching the llama-cpp / ds4 convention.
#
# Local development: point at a working checkout instead of cloning, e.g.
# make PRIVACY_FILTER_SRC=$HOME/c/privacy-filter.cpp grpc-server
PRIVACY_FILTER_VERSION?=646342f7a59c6b7d195185eac60bad762e572f1d
PRIVACY_FILTER_REPO?=https://github.com/localai-org/privacy-filter.cpp
PRIVACY_FILTER_SRC?=
CURRENT_MAKEFILE_DIR := $(dir $(abspath $(lastword $(MAKEFILE_LIST))))
BUILD_DIR := build
BUILD_TYPE ?=
NATIVE ?= false
JOBS ?= $(shell nproc 2>/dev/null || echo 4)
CMAKE_ARGS ?= -DCMAKE_BUILD_TYPE=Release
# GPU backends; the default (cpu) needs no extra flags. 'cublas' is LocalAI's
# name for the CUDA build (matches llama-cpp / ds4), mapping to the engine's
# GGML_CUDA path; 'vulkan' selects the ggml Vulkan backend.
ifeq ($(BUILD_TYPE),cublas)
CMAKE_ARGS += -DPF_CUDA=ON
endif
ifeq ($(BUILD_TYPE),vulkan)
CMAKE_ARGS += -DPF_VULKAN=ON
endif
# Portable binaries for distribution: disable -march=native unless asked.
ifneq ($(NATIVE),true)
CMAKE_ARGS += -DGGML_NATIVE=OFF
endif
.PHONY: grpc-server package clean purge test all
all: grpc-server
# Provide the engine sources at ./privacy-filter.cpp. With PRIVACY_FILTER_SRC
# set we symlink a local checkout (instant, no network); otherwise we clone the
# pinned commit and its ggml submodule. The directory/symlink is the target, so
# make only does this once — run 'make purge && make' to refetch after a bump.
privacy-filter.cpp:
ifneq ($(PRIVACY_FILTER_SRC),)
ln -sfn $(abspath $(PRIVACY_FILTER_SRC)) privacy-filter.cpp
else
mkdir -p privacy-filter.cpp
cd privacy-filter.cpp && \
git init -q && \
git remote add origin $(PRIVACY_FILTER_REPO) && \
git fetch --depth 1 origin $(PRIVACY_FILTER_VERSION) && \
git checkout FETCH_HEAD && \
git submodule update --init --recursive --depth 1
endif
grpc-server: privacy-filter.cpp
@echo "Building privacy-filter grpc-server ($(BUILD_TYPE)) with $(CMAKE_ARGS)"
mkdir -p $(BUILD_DIR)
cd $(BUILD_DIR) && cmake $(CMAKE_ARGS) $(CURRENT_MAKEFILE_DIR) && cmake --build . --config Release -j $(JOBS)
cp $(BUILD_DIR)/grpc-server grpc-server
package: grpc-server
bash package.sh
test:
@echo "privacy-filter backend: parity/regression coverage lives in the engine repo"
clean:
rm -rf $(BUILD_DIR) grpc-server package
# 'privacy-filter.cpp' may be a symlink (PRIVACY_FILTER_SRC) — rm without a
# trailing slash removes the link, never the linked-to checkout.
purge: clean
rm -rf privacy-filter.cpp

View File

@@ -1,210 +0,0 @@
// privacy-filter LocalAI gRPC backend.
//
// Thin shim over privacy-filter.cpp's flat C API (include/pf.h): a standalone
// GGML engine for the openai-privacy-filter token-classification model family
// (PII NER). It replaces the llama.cpp-patched TokenClassify path for this one
// model family — same GGUF files, no llama.cpp carry-patches.
//
// Only the RPCs the PII tier needs are implemented: LoadModel, TokenClassify,
// plus Health / Status / Free. Everything else inherits the generated base
// class default (UNIMPLEMENTED).
#include "backend.pb.h"
#include "backend.grpc.pb.h"
#include "pf.h"
#include <grpcpp/grpcpp.h>
#include <grpcpp/server.h>
#include <grpcpp/server_builder.h>
#include <grpcpp/ext/proto_server_reflection_plugin.h>
#include <atomic>
#include <chrono>
#include <csignal>
#include <iostream>
#include <memory>
#include <mutex>
#include <string>
using grpc::Server;
using grpc::ServerBuilder;
using grpc::ServerContext;
// NOTE: do NOT alias grpc::Status as Status — the Status RPC method below would
// shadow the type and break the other method signatures. Use GStatus instead.
using GStatus = ::grpc::Status;
using grpc::StatusCode;
namespace {
// The engine is single-model-per-process: LocalAI spawns one backend process
// per loaded model. g_mu guards (re)load against in-flight classification.
std::mutex g_mu;
pf_ctx * g_ctx = nullptr;
std::atomic<Server *> g_server{nullptr};
// Resolve the device string the engine expects ("cpu" / "gpu" / "cuda" /
// "vulkan", optionally ":N"). Priority: an explicit "device:..." in
// ModelOptions.Options, then a non-zero NGPULayers as a coarse "use the GPU"
// signal, else CPU. "gpu" lets the engine pick whichever GPU backend this
// binary was compiled with (CUDA or Vulkan), so the same config works on
// either build; pin "device:cuda"/"device:vulkan" to be explicit.
std::string resolve_device(const backend::ModelOptions * opts) {
for (const auto & o : opts->options()) {
const std::string prefix = "device:";
if (o.rfind(prefix, 0) == 0) {
return o.substr(prefix.size());
}
}
if (opts->ngpulayers() > 0) {
return "gpu";
}
return "cpu";
}
class PrivacyFilterBackend final : public backend::Backend::Service {
public:
GStatus Health(ServerContext *, const backend::HealthMessage *,
backend::Reply * reply) override {
reply->set_message("OK");
return GStatus::OK;
}
GStatus Status(ServerContext *, const backend::HealthMessage *,
backend::StatusResponse * response) override {
std::lock_guard<std::mutex> lock(g_mu);
response->set_state(g_ctx ? backend::StatusResponse::READY
: backend::StatusResponse::UNINITIALIZED);
return GStatus::OK;
}
GStatus LoadModel(ServerContext *, const backend::ModelOptions * request,
backend::Result * result) override {
std::lock_guard<std::mutex> lock(g_mu);
// ModelFile is the absolute path LocalAI resolves; Model is the bare
// name. Prefer the former, fall back to the latter.
const std::string path =
!request->modelfile().empty() ? request->modelfile() : request->model();
if (path.empty()) {
result->set_success(false);
result->set_message("no model path supplied");
return GStatus::OK;
}
const std::string device = resolve_device(request);
if (g_ctx) { pf_free(g_ctx); g_ctx = nullptr; }
pf_ctx * ctx = pf_load(path.c_str(), device.c_str(), request->threads());
const char * err = pf_last_error(ctx);
if (err) {
result->set_success(false);
result->set_message(std::string("privacy-filter load failed: ") + err);
pf_free(ctx);
return GStatus::OK;
}
// ContextSize, when set, becomes the per-forward window. The engine
// ignores values that are too small to window (<= 2*halo) and just
// runs a single forward, so passing it through is always safe.
if (request->contextsize() > 0) {
pf_set_window(ctx, request->contextsize());
}
g_ctx = ctx;
result->set_success(true);
result->set_message("privacy-filter loaded (" + device + ")");
return GStatus::OK;
}
GStatus TokenClassify(ServerContext *, const backend::TokenClassifyRequest * request,
backend::TokenClassifyResponse * response) override {
std::lock_guard<std::mutex> lock(g_mu);
if (!g_ctx) {
return GStatus(StatusCode::FAILED_PRECONDITION, "Model not loaded");
}
const std::string & text = request->text();
if (text.empty()) {
return GStatus::OK; // no text -> no entities
}
pf_entity * ents = nullptr;
size_t n = 0;
if (pf_classify(g_ctx, text.data(), text.size(), request->threshold(), &ents, &n) != 0) {
const char * err = pf_last_error(g_ctx);
return GStatus(StatusCode::INTERNAL,
std::string("TokenClassify failed: ") + (err ? err : "unknown"));
}
// Byte offsets are into the original UTF-8 text; the engine already
// applied the threshold and whitespace-trimmed span edges.
for (size_t i = 0; i < n; i++) {
backend::TokenClassifyEntity * ent = response->add_entities();
ent->set_entity_group(ents[i].label ? ents[i].label : "");
ent->set_start(ents[i].start);
ent->set_end(ents[i].end);
ent->set_score(ents[i].score);
ent->set_text(text.substr((size_t) ents[i].start,
(size_t) (ents[i].end - ents[i].start)));
}
pf_entities_free(ents, n);
return GStatus::OK;
}
GStatus Free(ServerContext *, const backend::HealthMessage *,
backend::Result * result) override {
std::lock_guard<std::mutex> lock(g_mu);
if (g_ctx) { pf_free(g_ctx); g_ctx = nullptr; }
result->set_success(true);
return GStatus::OK;
}
};
void RunServer(const std::string & addr) {
PrivacyFilterBackend service;
grpc::EnableDefaultHealthCheckService(true);
grpc::reflection::InitProtoReflectionServerBuilderPlugin();
ServerBuilder builder;
builder.AddListeningPort(addr, grpc::InsecureServerCredentials());
builder.RegisterService(&service);
builder.SetMaxReceiveMessageSize(64 * 1024 * 1024);
builder.SetMaxSendMessageSize(64 * 1024 * 1024);
std::unique_ptr<Server> server(builder.BuildAndStart());
if (!server) {
std::cerr << "privacy-filter grpc-server: failed to bind " << addr << "\n";
std::exit(1);
}
g_server = server.get();
std::cerr << "privacy-filter grpc-server listening on " << addr << "\n";
server->Wait();
}
void signal_handler(int) {
if (auto * srv = g_server.load()) {
srv->Shutdown(std::chrono::system_clock::now() + std::chrono::seconds(3));
}
}
} // namespace
int main(int argc, char * argv[]) {
std::string addr = "127.0.0.1:50051";
for (int i = 1; i < argc; ++i) {
std::string a = argv[i];
const std::string addr_flag = "--addr=";
if (a.rfind(addr_flag, 0) == 0) addr = a.substr(addr_flag.size());
else if (a == "--addr" && i + 1 < argc) addr = argv[++i];
else if (a == "--help" || a == "-h") {
std::cout << "Usage: grpc-server --addr=HOST:PORT\n";
return 0;
}
}
std::signal(SIGINT, signal_handler);
std::signal(SIGTERM, signal_handler);
RunServer(addr);
return 0;
}

View File

@@ -1,39 +0,0 @@
#!/bin/bash
# Assemble package/ for the from-scratch backend image: the grpc-server binary,
# run.sh, the dynamic loader, and every shared library the binary needs.
set -e
CURDIR=$(dirname "$(realpath "$0")")
REPO_ROOT="${CURDIR}/../../.."
mkdir -p "$CURDIR/package/lib"
cp -avf "$CURDIR/grpc-server" "$CURDIR/package/"
cp -rfv "$CURDIR/run.sh" "$CURDIR/package/"
# The dynamic loader, renamed to lib/ld.so so run.sh can invoke it explicitly
# (makes the image independent of the host's glibc layout).
if [ -f "/lib64/ld-linux-x86-64.so.2" ]; then
cp -arfLv /lib64/ld-linux-x86-64.so.2 "$CURDIR/package/lib/ld.so"
elif [ -f "/lib/ld-linux-aarch64.so.1" ]; then
cp -arfLv /lib/ld-linux-aarch64.so.1 "$CURDIR/package/lib/ld.so"
else
echo "package.sh: unknown architecture" >&2; exit 1
fi
# Bundle the binary's transitive shared deps (libstdc++, libgomp, and the apt
# grpc++/protobuf/absl stack) by walking ldd — robust to whichever of those are
# linked shared vs static. The loader line (no "=>") is skipped; ld.so above
# already covers it.
ldd "$CURDIR/grpc-server" | awk '$2 == "=>" && $3 ~ /^\// { print $3 }' | sort -u | \
while read -r so; do
[ -f "$so" ] && cp -arfLv "$so" "$CURDIR/package/lib/"
done
# Vulkan loader / GPU libs when building the GPU variant.
GPU_LIB_SCRIPT="${REPO_ROOT}/scripts/build/package-gpu-libs.sh"
if [ -f "$GPU_LIB_SCRIPT" ]; then
source "$GPU_LIB_SCRIPT" "$CURDIR/package/lib"
package_gpu_libs
fi
echo "privacy-filter package contents:"
ls -lah "$CURDIR/package/" "$CURDIR/package/lib/"

View File

@@ -1,9 +0,0 @@
#!/bin/bash
# Entry point for the privacy-filter backend image / BACKEND_BINARY mode.
set -e
CURDIR=$(dirname "$(realpath "$0")")
export LD_LIBRARY_PATH="$CURDIR/lib:$LD_LIBRARY_PATH"
if [ -f "$CURDIR/lib/ld.so" ]; then
exec "$CURDIR/lib/ld.so" "$CURDIR/grpc-server" "$@"
fi
exec "$CURDIR/grpc-server" "$@"

View File

@@ -1,7 +1,7 @@
# Pinned to the HEAD of feature/turboquant-kv-cache on https://github.com/TheTom/llama-cpp-turboquant.
# Auto-bumped nightly by .github/workflows/bump_deps.yaml.
TURBOQUANT_VERSION?=7d9715f1f071fa07c7b2ad3dbfd320b314139e65
TURBOQUANT_VERSION?=5aeb2fdbe26cd4c534c6fa15de73cb5749bd0403
LLAMA_REPO?=https://github.com/TheTom/llama-cpp-turboquant
CMAKE_ARGS?=

View File

@@ -4,19 +4,21 @@
#
# 1. Augment the kv_cache_types[] allow-list so `LoadModel` accepts the
# fork-specific `turbo2` / `turbo3` / `turbo4` cache types.
# 2. Define LOCALAI_TURBOQUANT_NO_CHECKPOINT_MIN_STEP at the top of the file
# so the grpc-server option parser skips the two references to
# common_params::checkpoint_min_step (the default and the option handler).
# That field does not exist in the fork yet; drop this once it does.
#
# The fork used to lag upstream on the whole common_params_speculative refactor
# (ggml-org/llama.cpp#22397/#22838/#22964), the model_tgt rename (#22838) and
# get_media_marker (#21962), which required a much larger compat shim here
# (flat-field sed renames + a coarse LOCALAI_LEGACY_LLAMA_CPP_SPEC define). The
# fork has since rebased past all of those, so the only remaining gap is
# checkpoint_min_step. If a future bump reintroduces a divergence, add a narrow
# guard in grpc-server.cpp keyed on a fork-specific macro and inject it here
# rather than resurrecting the coarse one.
# 2. Replace `get_media_marker()` (added upstream in ggml-org/llama.cpp#21962,
# server-side random per-instance marker) with the legacy "<__media__>"
# literal. The fork branched before that PR, so server-common.cpp has no
# get_media_marker symbol. The fork's mtmd_default_marker() still returns
# "<__media__>", and Go-side tooling falls back to that sentinel when the
# backend does not expose media_marker, so substituting the literal keeps
# behavior identical on the turboquant path.
# 3. Revert the `common_params_speculative` field references to the
# pre-refactor flat layout. Upstream ggml-org/llama.cpp#22397 split the
# struct into nested `draft` / `ngram_simple` / `ngram_mod` / etc. members;
# the turboquant fork branched before that PR and still exposes the flat
# `n_max`, `mparams_dft`, `ngram_size_n`, ... fields. The substitutions
# below map the new nested paths back to the legacy flat names so the
# shared grpc-server.cpp keeps compiling against the fork's common.h.
# Drop this block once the fork rebases past #22397.
#
# We patch the *copy* sitting in turboquant-<flavor>-build/, never the original
# under backend/cpp/llama-cpp/, so the stock llama-cpp build keeps compiling
@@ -70,20 +72,69 @@ else
echo "==> KV allow-list patch OK"
fi
# 2. Define LOCALAI_TURBOQUANT_NO_CHECKPOINT_MIN_STEP at the top of the file so
# the grpc-server option parser skips the two references to
# common_params::checkpoint_min_step (the default assignment and the option
# handler). That field does not exist in the fork yet. Drop this block once
# the fork rebases past the bump that added checkpoint_min_step.
if grep -q '^#define LOCALAI_TURBOQUANT_NO_CHECKPOINT_MIN_STEP' "$SRC"; then
echo "==> $SRC already defines LOCALAI_TURBOQUANT_NO_CHECKPOINT_MIN_STEP, skipping"
if grep -q 'get_media_marker()' "$SRC"; then
echo "==> patching $SRC to replace get_media_marker() with legacy \"<__media__>\" literal"
# Only one call site today (ModelMetadata), but replace all occurrences to
# stay robust if upstream adds more. Use a temp file to avoid relying on
# sed -i portability (the builder image uses GNU sed, but keeping this
# consistent with the awk block above).
sed 's/get_media_marker()/"<__media__>"/g' "$SRC" > "$SRC.tmp"
mv "$SRC.tmp" "$SRC"
echo "==> get_media_marker() substitution OK"
else
echo "==> patching $SRC to define LOCALAI_TURBOQUANT_NO_CHECKPOINT_MIN_STEP at the top"
# Insert the define before the very first `#include` so it precedes the
# checkpoint_min_step references.
echo "==> $SRC has no get_media_marker() call, skipping media-marker patch"
fi
if grep -q 'params\.speculative\.draft\.\|params\.speculative\.ngram_simple\.' "$SRC"; then
echo "==> patching $SRC to revert common_params_speculative refs to pre-#22397 flat layout"
# Each substitution is the exact post-refactor path → legacy flat field.
# Order doesn't matter because the source paths are disjoint, but we keep
# the most-specific (mparams.path) first for readability.
sed -E \
-e 's/params\.speculative\.draft\.mparams\.path/params.speculative.mparams_dft.path/g' \
-e 's/params\.speculative\.draft\.n_max/params.speculative.n_max/g' \
-e 's/params\.speculative\.draft\.n_min/params.speculative.n_min/g' \
-e 's/params\.speculative\.draft\.p_min/params.speculative.p_min/g' \
-e 's/params\.speculative\.draft\.p_split/params.speculative.p_split/g' \
-e 's/params\.speculative\.draft\.n_gpu_layers/params.speculative.n_gpu_layers/g' \
-e 's/params\.speculative\.draft\.n_ctx/params.speculative.n_ctx/g' \
-e 's/params\.speculative\.ngram_simple\.size_n/params.speculative.ngram_size_n/g' \
-e 's/params\.speculative\.ngram_simple\.size_m/params.speculative.ngram_size_m/g' \
-e 's/params\.speculative\.ngram_simple\.min_hits/params.speculative.ngram_min_hits/g' \
"$SRC" > "$SRC.tmp"
mv "$SRC.tmp" "$SRC"
echo "==> speculative field rename OK"
else
echo "==> $SRC has no post-#22397 speculative field refs, skipping spec rename patch"
fi
# 4. Revert the `ctx_server.impl->model_tgt` rename introduced by upstream
# ggml-org/llama.cpp#22838 (parallel drafting). The turboquant fork still
# exposes the field as `model` on `server_context_impl`. The two call sites
# are in the Rerank and ModelMetadata RPC handlers.
if grep -q 'ctx_server\.impl->model_tgt' "$SRC"; then
echo "==> patching $SRC to revert ctx_server.impl->model_tgt -> ctx_server.impl->model"
sed -E 's/ctx_server\.impl->model_tgt/ctx_server.impl->model/g' "$SRC" > "$SRC.tmp"
mv "$SRC.tmp" "$SRC"
echo "==> model_tgt rename OK"
else
echo "==> $SRC has no ctx_server.impl->model_tgt refs, skipping model_tgt rename patch"
fi
# 5. Define LOCALAI_LEGACY_LLAMA_CPP_SPEC at the top of the file so the
# grpc-server option parser skips the new option-handler blocks (ngram_mod,
# ngram_map_k, ngram_map_k4v, ngram_cache, draft.cache_type_*, draft.cpuparams*,
# draft.tensor_buft_overrides) introduced for the post-#22838 layout. Those
# blocks reference struct fields that simply do not exist in the fork.
if grep -q '^#define LOCALAI_LEGACY_LLAMA_CPP_SPEC' "$SRC"; then
echo "==> $SRC already defines LOCALAI_LEGACY_LLAMA_CPP_SPEC, skipping"
else
echo "==> patching $SRC to define LOCALAI_LEGACY_LLAMA_CPP_SPEC at the top"
# Insert the define before the very first `#include` so it precedes all the
# speculative-decoding code paths.
awk '
!done && /^#include/ {
print "#define LOCALAI_TURBOQUANT_NO_CHECKPOINT_MIN_STEP 1"
print "#define LOCALAI_LEGACY_LLAMA_CPP_SPEC 1"
print "// ^ injected by backend/cpp/turboquant/patch-grpc-server.sh"
print ""
done = 1
@@ -91,13 +142,13 @@ else
{ print }
END {
if (!done) {
print "patch-grpc-server.sh: no #include anchor found to insert LOCALAI_TURBOQUANT_NO_CHECKPOINT_MIN_STEP" > "/dev/stderr"
print "patch-grpc-server.sh: no #include anchor found to insert LOCALAI_LEGACY_LLAMA_CPP_SPEC" > "/dev/stderr"
exit 1
}
}
' "$SRC" > "$SRC.tmp"
mv "$SRC.tmp" "$SRC"
echo "==> LOCALAI_TURBOQUANT_NO_CHECKPOINT_MIN_STEP define OK"
echo "==> LOCALAI_LEGACY_LLAMA_CPP_SPEC define OK"
fi
echo "==> all patches applied"

View File

@@ -1,55 +0,0 @@
hip: port the turboquant CUDA additions that ggml's HIP shim doesn't cover
The turboquant fork adds/modifies a few ggml-cuda.cu spots with CUDA APIs
that ggml's HIP (and MUSA) compatibility layer does not provide, breaking
the -gpu-rocm-hipblas-turboquant build:
1. ggml_cuda_copy2d_across_devices() (host-staged cross-device copy for
split mul_mat output) uses the CUDA 3D-peer copy APIs
cudaMemcpy3DPeerParms / make_cudaPitchedPtr / make_cudaExtent /
cudaMemcpy3DPeerAsync. HIP genuinely does not support these (see the
fork's own comment "HIP does not support cudaMemcpy3DPeerAsync"), so
guard the peer fast path with #if !defined(GGML_USE_HIP) &&
!defined(GGML_USE_MUSA) -- matching how the fork already guards the
same API for the sibling 2D copy -- and fall through to the existing
cudaMemcpyAsync staging fallback below (functionally identical,
slightly slower on multi-GPU ROCm).
2. ggml_backend_cuda_device_event_new() creates its event with plain
cudaEventCreate, which ggml's HIP shim does not alias (it only aliases
cudaEventCreateWithFlags). Use cudaEventCreateWithFlags(...,
cudaEventDisableTiming) -- exactly what the rest of this file already
does (cf. lines ~1034, ~3461) and HIP-safe.
CUDA builds are unaffected. Drop the relevant hunk once the fork HIP-ports
these; apply-patches.sh fails fast if an anchor goes stale.
diff --git a/ggml/src/ggml-cuda/ggml-cuda.cu b/ggml/src/ggml-cuda/ggml-cuda.cu
index 0427e6b..6352e6a 100644
--- a/ggml/src/ggml-cuda/ggml-cuda.cu
+++ b/ggml/src/ggml-cuda/ggml-cuda.cu
@@ -1933,6 +1933,7 @@ static cudaError_t ggml_cuda_copy2d_across_devices(
size_t width, size_t height, cudaStream_t dst_stream, cudaStream_t src_stream) {
const auto & info = ggml_cuda_info();
+#if !defined(GGML_USE_HIP) && !defined(GGML_USE_MUSA) // 3D-peer copy types unmapped by ggml's HIP/MUSA shim; use staging fallback below
if (info.peer_access[src_device][dst_device]) {
cudaMemcpy3DPeerParms p = {};
p.dstDevice = dst_device;
@@ -1942,6 +1943,7 @@ static cudaError_t ggml_cuda_copy2d_across_devices(
p.extent = make_cudaExtent(width, height, 1);
return cudaMemcpy3DPeerAsync(&p, dst_stream);
}
+#endif // !defined(GGML_USE_HIP) && !defined(GGML_USE_MUSA)
// Fallback: stage all rows through a single contiguous pinned buffer
int prev_device = ggml_cuda_get_device();
@@ -5714,7 +5716,7 @@ static ggml_backend_event_t ggml_backend_cuda_device_event_new(ggml_backend_dev_
ggml_cuda_set_device(dev_ctx->device);
cudaEvent_t event;
- CUDA_CHECK(cudaEventCreate(&event));
+ CUDA_CHECK(cudaEventCreateWithFlags(&event, cudaEventDisableTiming));
return new ggml_backend_event {
/* .device = */ dev,

View File

@@ -192,61 +192,6 @@ var _ = Describe("Forward", func() {
Expect(<-gotAuth).To(Equal("Bearer sk-real"), "caller-supplied Basic header must be replaced")
})
It("refuses to follow upstream redirects and never leaks the key to the redirect target", func() {
// A 3xx from the configured upstream means misconfiguration or a
// hijacked/spoofed host. Following it would replay the request —
// and the injected API key — to the Location host. Anthropic's
// x-api-key is NOT stripped by Go on cross-host redirects, so this
// would be a credential leak. The proxy must refuse the redirect.
sinkHit := make(chan string, 1)
sink := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
sinkHit <- r.Header.Get("x-api-key")
w.WriteHeader(http.StatusOK)
}))
defer sink.Close()
redirector := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
http.Redirect(w, r, sink.URL, http.StatusFound)
}))
defer redirector.Close()
GinkgoT().Setenv("CLOUD_PROXY_REDIRECT_KEY", "ant-secret")
cp := NewCloudProxy()
Expect(cp.Load(&pb.ModelOptions{
Proxy: &pb.ProxyOptions{
UpstreamUrl: redirector.URL,
Mode: modePassthrough,
Provider: providerAnthropic,
ApiKeyEnv: "CLOUD_PROXY_REDIRECT_KEY",
},
})).To(Succeed())
addr := "test://forward-no-redirect"
grpc.Provide(addr, cp)
c := grpc.NewClient(addr, true, nil, false)
stream, err := c.Forward(context.Background())
Expect(err).NotTo(HaveOccurred())
Expect(stream.Send(&pb.ForwardRequest{
Path: "/v1/messages",
Method: "POST",
})).To(Succeed())
Expect(stream.CloseSend()).To(Succeed())
// Drain the stream; a refused redirect surfaces as a non-EOF error.
var streamErr error
for {
if _, err := stream.Recv(); err != nil {
if !errors.Is(err, io.EOF) {
streamErr = err
}
break
}
}
Expect(streamErr).To(HaveOccurred(), "refused redirect must surface as an error")
Expect(sinkHit).NotTo(Receive(), "the redirect target must never be contacted")
})
It("handles concurrent calls without interference", func() {
// CloudProxy explicitly omits base.SingleThread — independent
// Forward streams must not block each other or leak state.

View File

@@ -11,12 +11,9 @@ import (
"strings"
"sync/atomic"
"github.com/mudler/xlog"
"github.com/mudler/LocalAI/pkg/grpc/base"
"github.com/mudler/LocalAI/pkg/grpc/grpcerrors"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
"github.com/mudler/LocalAI/pkg/httpclient"
"github.com/mudler/xlog"
)
// Mirror of core/config.Proxy{Mode,Provider}* — backends don't
@@ -51,15 +48,10 @@ type proxyConfig struct {
}
func NewCloudProxy() *CloudProxy {
// httpclient.New refuses redirects outright: the proxy talks to a
// single configured upstream API (OpenAI/Anthropic/...) that answers
// directly, so a 3xx means misconfiguration, a hijacked upstream, or
// DNS trickery — never normal operation. Following it would replay the
// request, including the operator's x-api-key (which Go does NOT strip
// on cross-host redirects), to an unvetted host and leak the key
// (GHSA-3mj3-57v2-4636). It also imposes no body deadline, so streaming
// SSE responses that legitimately last minutes are not truncated.
return &CloudProxy{client: httpclient.New()}
// No Client-level Timeout — that would bound streaming SSE
// responses too, which can legitimately last minutes. Per-request
// deadlines come from the gRPC stream context.
return &CloudProxy{client: &http.Client{}}
}
func (c *CloudProxy) Load(opts *pb.ModelOptions) error {
@@ -146,7 +138,7 @@ func resolveAPIKey(envName, filePath string) (string, error) {
func (c *CloudProxy) PredictRich(opts *pb.PredictOptions) (reply *pb.Reply, err error) {
cfg := c.cfg.Load()
if cfg == nil {
return nil, grpcerrors.ModelNotLoaded("cloud-proxy")
return nil, errors.New("cloud-proxy: model not loaded")
}
if cfg.mode != modeTranslate {
return nil, fmt.Errorf("cloud-proxy: Predict only valid in translate mode (have %s)", cfg.mode)
@@ -176,7 +168,7 @@ func (c *CloudProxy) PredictRich(opts *pb.PredictOptions) (reply *pb.Reply, err
func (c *CloudProxy) PredictStreamRich(opts *pb.PredictOptions, results chan<- *pb.Reply) (err error) {
cfg := c.cfg.Load()
if cfg == nil {
return grpcerrors.ModelNotLoaded("cloud-proxy")
return errors.New("cloud-proxy: model not loaded")
}
if cfg.mode != modeTranslate {
return fmt.Errorf("cloud-proxy: PredictStream only valid in translate mode (have %s)", cfg.mode)
@@ -270,7 +262,7 @@ func (c *CloudProxy) Forward(ctx context.Context, in <-chan *pb.ForwardRequest,
cfg := c.cfg.Load()
if cfg == nil {
return grpcerrors.ModelNotLoaded("cloud-proxy")
return errors.New("cloud-proxy: model not loaded")
}
if cfg.mode != modePassthrough {
return fmt.Errorf("cloud-proxy: Forward only valid in passthrough mode (have %s)", cfg.mode)
@@ -434,3 +426,4 @@ func isHopByHopHeader(name string) bool {
}
return false
}

View File

@@ -1,5 +0,0 @@
sources
build*
libgocrispasr*.so
crispasr
package

View File

@@ -1,30 +0,0 @@
cmake_minimum_required(VERSION 3.12)
project(gocrispasr LANGUAGES C CXX)
set(CMAKE_POSITION_INDEPENDENT_CODE ON)
set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
add_subdirectory(./sources/CrispASR)
add_library(gocrispasr MODULE cpp/crispasr_shim.cpp)
target_include_directories(gocrispasr PRIVATE
${CMAKE_CURRENT_SOURCE_DIR}/sources/CrispASR/include
${CMAKE_CURRENT_SOURCE_DIR}/sources/CrispASR/ggml/include)
# Link the same backend set as crispasr-cli (examples/cli/CMakeLists.txt) so
# the session API can dispatch to every compiled-in architecture, not just
# whisper. crispasr is the referencer; the backend static libs supply the
# per-architecture symbols; ggml is the math/runtime base.
target_link_libraries(gocrispasr PRIVATE
crispasr-lib
parakeet canary canary_ctc cohere granite_speech granite_nle
voxtral voxtral4b qwen3_asr qwen3_tts orpheus chatterbox indextts
kokoro voxcpm2_tts m2m100 t5_translate wav2vec2-ggml vibevoice
silero-lid pyannote-seg funasr paraformer sensevoice
crisp_audio
ggml)
if(CMAKE_CXX_COMPILER_ID MATCHES "GNU" AND CMAKE_CXX_COMPILER_VERSION VERSION_LESS 9.0)
target_link_libraries(gocrispasr PRIVATE stdc++fs)
endif()
set_property(TARGET gocrispasr PROPERTY CXX_STANDARD 17)
set_target_properties(gocrispasr PROPERTIES LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR})

View File

@@ -1,132 +0,0 @@
CMAKE_ARGS?=
BUILD_TYPE?=
NATIVE?=false
GOCMD?=go
GO_TAGS?=
JOBS?=$(shell nproc --ignore=1)
# CrispASR version (release tag)
CRISPASR_REPO?=https://github.com/CrispStrobe/CrispASR
CRISPASR_VERSION?=d745bda4386ae0f9d1d2f23fff8ec95d76428221
SO_TARGET?=libgocrispasr.so
CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF
# Keep the build lean: no tests/examples/server/SDL2/curl/ffmpeg (the FROM scratch
# image cannot satisfy those runtime deps). All ASR/TTS model backends stay enabled.
CMAKE_ARGS+=-DCRISPASR_BUILD_TESTS=OFF -DCRISPASR_BUILD_EXAMPLES=OFF -DCRISPASR_BUILD_SERVER=OFF
CMAKE_ARGS+=-DCRISPASR_SDL2=OFF -DCRISPASR_CURL=OFF -DCRISPASR_FFMPEG=OFF
ifeq ($(NATIVE),false)
CMAKE_ARGS+=-DGGML_NATIVE=OFF
endif
ifeq ($(BUILD_TYPE),cublas)
CMAKE_ARGS+=-DGGML_CUDA=ON
else ifeq ($(BUILD_TYPE),openblas)
CMAKE_ARGS+=-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
else ifeq ($(BUILD_TYPE),clblas)
CMAKE_ARGS+=-DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
else ifeq ($(BUILD_TYPE),hipblas)
CMAKE_ARGS+=-DGGML_HIPBLAS=ON
else ifeq ($(BUILD_TYPE),vulkan)
CMAKE_ARGS+=-DGGML_VULKAN=ON
else ifeq ($(OS),Darwin)
ifneq ($(BUILD_TYPE),metal)
CMAKE_ARGS+=-DGGML_METAL=OFF
else
CMAKE_ARGS+=-DGGML_METAL=ON
CMAKE_ARGS+=-DGGML_METAL_EMBED_LIBRARY=ON
endif
endif
ifeq ($(BUILD_TYPE),sycl_f16)
CMAKE_ARGS+=-DGGML_SYCL=ON \
-DCMAKE_C_COMPILER=icx \
-DCMAKE_CXX_COMPILER=icpx \
-DGGML_SYCL_F16=ON
endif
ifeq ($(BUILD_TYPE),sycl_f32)
CMAKE_ARGS+=-DGGML_SYCL=ON \
-DCMAKE_C_COMPILER=icx \
-DCMAKE_CXX_COMPILER=icpx
endif
sources/CrispASR:
mkdir -p sources/CrispASR
cd sources/CrispASR && \
git init && \
git remote add origin $(CRISPASR_REPO) && \
git fetch origin && \
git checkout $(CRISPASR_VERSION) && \
git submodule update --init --recursive --depth 1 --single-branch
# CrispASR's src/CMakeLists.txt locates its vendored llama.cpp
# (crispasr-llama-core, used by the chat C-ABI) via ${CMAKE_SOURCE_DIR},
# which assumes CrispASR is the top-level CMake project. We add_subdirectory
# it, so ${CMAKE_SOURCE_DIR} is THIS backend dir and the talk-llama sources
# aren't found. Rewrite to ${PROJECT_SOURCE_DIR} (the crispasr project root),
# which is correct both standalone and as a subproject. Idempotent.
sed -i 's#\$${CMAKE_SOURCE_DIR}/examples/talk-llama#\$${PROJECT_SOURCE_DIR}/examples/talk-llama#' sources/CrispASR/src/CMakeLists.txt
# Detect OS
UNAME_S := $(shell uname -s)
ifeq ($(UNAME_S),Linux)
VARIANT_TARGETS = libgocrispasr-avx.so libgocrispasr-avx2.so libgocrispasr-avx512.so libgocrispasr-fallback.so
else
VARIANT_TARGETS = libgocrispasr-fallback.so
endif
crispasr: main.go gocrispasr.go $(VARIANT_TARGETS)
CGO_ENABLED=0 $(GOCMD) build -tags "$(GO_TAGS)" -o crispasr ./
package: crispasr
bash package.sh
build: package
clean: purge
rm -rf libgocrispasr*.so package sources/CrispASR crispasr
purge:
rm -rf build*
ifeq ($(UNAME_S),Linux)
libgocrispasr-avx.so: sources/CrispASR
$(MAKE) purge
$(info ${GREEN}I crispasr build info:avx${RESET})
SO_TARGET=libgocrispasr-avx.so CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) libgocrispasr-custom
rm -rfv build*
libgocrispasr-avx2.so: sources/CrispASR
$(MAKE) purge
$(info ${GREEN}I crispasr build info:avx2${RESET})
SO_TARGET=libgocrispasr-avx2.so CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=off -DGGML_FMA=on -DGGML_F16C=on -DGGML_BMI2=on" $(MAKE) libgocrispasr-custom
rm -rfv build*
libgocrispasr-avx512.so: sources/CrispASR
$(MAKE) purge
$(info ${GREEN}I crispasr build info:avx512${RESET})
SO_TARGET=libgocrispasr-avx512.so CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=on -DGGML_FMA=on -DGGML_F16C=on -DGGML_BMI2=on" $(MAKE) libgocrispasr-custom
rm -rfv build*
endif
libgocrispasr-fallback.so: sources/CrispASR
$(MAKE) purge
$(info ${GREEN}I crispasr build info:fallback${RESET})
SO_TARGET=libgocrispasr-fallback.so CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) libgocrispasr-custom
rm -rfv build*
libgocrispasr-custom: CMakeLists.txt cpp/crispasr_shim.cpp cpp/crispasr_shim.h
mkdir -p build-$(SO_TARGET) && \
cd build-$(SO_TARGET) && \
cmake .. $(CMAKE_ARGS) && \
cmake --build . --config Release -j$(JOBS) && \
cd .. && \
mv build-$(SO_TARGET)/libgocrispasr.so ./$(SO_TARGET)
test: crispasr
CGO_ENABLED=0 $(GOCMD) test -v ./...
all: crispasr package

View File

@@ -1,253 +0,0 @@
#include "crispasr_shim.h"
#include "ggml-backend.h"
#include "crispasr.h"
#include <atomic>
#include <vector>
// Opaque session types. crispasr.h declares `struct crispasr_session;` but not
// the result type nor the open/transcribe/result accessors — those are
// CA_EXPORT extern "C" symbols in src/crispasr_c_api.cpp, so we forward-declare
// exactly the ones we use. Signatures verified against
// sources/CrispASR/src/crispasr_c_api.cpp.
struct crispasr_session_result;
extern "C" {
crispasr_session *crispasr_session_open(const char *model_path, int n_threads);
crispasr_session *crispasr_session_open_explicit(const char *model_path,
const char *backend_name,
int n_threads);
int crispasr_session_set_codec_path(crispasr_session *s, const char *path);
void crispasr_session_close(crispasr_session *s);
const char *crispasr_session_backend(crispasr_session *s);
int crispasr_session_set_translate(crispasr_session *s, int enable);
crispasr_session_result *crispasr_session_transcribe_lang(
crispasr_session *s, const float *pcm, int n_samples, const char *language);
int crispasr_session_result_n_segments(crispasr_session_result *r);
const char *crispasr_session_result_segment_text(crispasr_session_result *r,
int i);
int64_t crispasr_session_result_segment_t0(crispasr_session_result *r, int i);
int64_t crispasr_session_result_segment_t1(crispasr_session_result *r, int i);
void crispasr_session_result_free(crispasr_session_result *r);
float *crispasr_session_synthesize(crispasr_session *s, const char *text,
int *out_n_samples);
void crispasr_pcm_free(float *pcm);
int crispasr_session_set_speaker_name(crispasr_session *s, const char *name);
int crispasr_session_set_voice(crispasr_session *s, const char *path,
const char *ref_text_or_null);
}
static crispasr_session *g_session = nullptr;
static crispasr_session_result *g_result = nullptr;
static struct whisper_vad_context *vctx;
static std::vector<float> flat_segs;
static std::atomic<int> g_abort{0};
extern "C" void set_abort(int v) {
g_abort.store(v, std::memory_order_relaxed);
}
static void ggml_log_cb(enum ggml_log_level level, const char *log,
void *data) {
const char *level_str;
if (!log) {
return;
}
switch (level) {
case GGML_LOG_LEVEL_DEBUG:
level_str = "DEBUG";
break;
case GGML_LOG_LEVEL_INFO:
level_str = "INFO";
break;
case GGML_LOG_LEVEL_WARN:
level_str = "WARN";
break;
case GGML_LOG_LEVEL_ERROR:
level_str = "ERROR";
break;
default: /* Potential future-proofing */
level_str = "?????";
break;
}
fprintf(stderr, "[%-5s] ", level_str);
fputs(log, stderr);
fflush(stderr);
}
int load_model(const char *const model_path, int threads,
const char *backend_name) {
whisper_log_set(ggml_log_cb, nullptr);
ggml_backend_load_all();
if (backend_name && *backend_name) {
g_session =
crispasr_session_open_explicit(model_path, backend_name, threads);
} else {
g_session = crispasr_session_open(model_path, threads);
}
if (g_session == nullptr) {
fprintf(stderr, "error: failed to open CrispASR session for model\n");
return 1;
}
fprintf(stderr, "info: CrispASR backend selected: %s\n",
crispasr_session_backend(g_session));
return 0;
}
// set_codec_path forwards a companion file (qwen3-tts codec, orpheus SNAC,
// chatterbox s3gen, or mimo-asr tokenizer) to the active session. Returns 0 on
// success or when the active backend needs no companion, negative on failure,
// and -1 when no session is open.
int set_codec_path(const char *path) {
return g_session ? crispasr_session_set_codec_path(g_session, path) : -1;
}
int load_model_vad(const char *const model_path) {
whisper_log_set(ggml_log_cb, nullptr);
ggml_backend_load_all();
struct whisper_vad_context_params vcparams =
whisper_vad_default_context_params();
// XXX: Overridden to false in upstream due to performance?
// vcparams.use_gpu = true;
vctx = whisper_vad_init_from_file_with_params(model_path, vcparams);
if (vctx == nullptr) {
fprintf(stderr, "error: Failed to init model as VAD\n");
return 1;
}
return 0;
}
int vad(float pcmf32[], size_t pcmf32_len, float **segs_out,
size_t *segs_out_len) {
if (!whisper_vad_detect_speech(vctx, pcmf32, pcmf32_len)) {
fprintf(stderr, "error: failed to detect speech\n");
return 1;
}
struct whisper_vad_params params = whisper_vad_default_params();
struct whisper_vad_segments *segs =
whisper_vad_segments_from_probs(vctx, params);
size_t segn = whisper_vad_segments_n_segments(segs);
// fprintf(stderr, "Got segments %zd\n", segn);
flat_segs.clear();
for (int i = 0; i < segn; i++) {
flat_segs.push_back(whisper_vad_segments_get_segment_t0(segs, i));
flat_segs.push_back(whisper_vad_segments_get_segment_t1(segs, i));
}
// fprintf(stderr, "setting out variables: %p=%p -> %p, %p=%zx -> %zx\n",
// segs_out, *segs_out, flat_segs.data(), segs_out_len, *segs_out_len,
// flat_segs.size());
*segs_out = flat_segs.data();
*segs_out_len = flat_segs.size();
// fprintf(stderr, "freeing segs\n");
whisper_vad_free_segments(segs);
// fprintf(stderr, "returning\n");
return 0;
}
// threads, diarize and prompt are accepted for Go-side API parity but unused
// in Phase 1: the thread count is fixed at session open, and diarization and
// the initial prompt are separate CrispASR features not yet wired through the
// session ASR path.
int transcribe(uint32_t threads, char *lang, bool translate, bool diarize,
float pcmf32[], size_t pcmf32_len, size_t *segs_out_len,
char *prompt) {
(void)threads;
(void)diarize;
(void)prompt;
if (!g_session) {
return 1;
}
// Reset stale abort flag from any prior cancelled call. set_abort remains
// best-effort: the session transcribe call is blocking and exposes no abort
// hook, so a mid-decode abort cannot interrupt it.
g_abort.store(0, std::memory_order_relaxed);
crispasr_session_set_translate(g_session, translate ? 1 : 0);
if (g_result) {
crispasr_session_result_free(g_result);
g_result = nullptr;
}
const char *language = (lang && *lang) ? lang : nullptr;
g_result = crispasr_session_transcribe_lang(g_session, pcmf32, (int)pcmf32_len,
language);
if (!g_result) {
fprintf(stderr, "error: transcription failed\n");
return 1;
}
*segs_out_len = crispasr_session_result_n_segments(g_result);
return 0;
}
const char *get_segment_text(int i) {
if (!g_result) {
return "";
}
return crispasr_session_result_segment_text(g_result, i);
}
int64_t get_segment_t0(int i) {
if (!g_result) {
return 0;
}
return crispasr_session_result_segment_t0(g_result, i);
}
int64_t get_segment_t1(int i) {
if (!g_result) {
return 0;
}
return crispasr_session_result_segment_t1(g_result, i);
}
const char *get_backend(void) {
return g_session ? crispasr_session_backend(g_session) : "";
}
// TTS uses the already-open session (crispasr_session_open auto-detects a TTS
// model). Output is 24 kHz mono float PCM (upstream CrispASR convention),
// malloc'd by the C API; the caller must release it via tts_free.
float *tts_synthesize(const char *text, int *out_n_samples) {
if (out_n_samples) *out_n_samples = 0;
if (!g_session || !text) return nullptr;
return crispasr_session_synthesize(g_session, text, out_n_samples);
}
void tts_free(float *pcm) {
if (pcm) crispasr_pcm_free(pcm);
}
int tts_set_voice(const char *name) {
if (!g_session || !name || !*name) return 0;
return crispasr_session_set_speaker_name(g_session, name);
}
// tts_set_voice_file loads a voice from a file: a .gguf path selects a voice
// pack, a .wav path with a non-empty ref_text performs zero-shot voice cloning
// (the C API returns -2 when ref_text is required but missing). Returns -1 when
// no session is open or path is null.
int tts_set_voice_file(const char *path, const char *ref_text) {
if (!g_session || !path) return -1;
const char *ref = (ref_text && *ref_text) ? ref_text : nullptr;
return crispasr_session_set_voice(g_session, path, ref);
}

View File

@@ -1,23 +0,0 @@
#include <cstddef>
#include <cstdint>
extern "C" {
int load_model(const char *const model_path, int threads,
const char *backend_name);
int set_codec_path(const char *path);
int load_model_vad(const char *const model_path);
int vad(float pcmf32[], size_t pcmf32_size, float **segs_out,
size_t *segs_out_len);
int transcribe(uint32_t threads, char *lang, bool translate, bool diarize,
float pcmf32[], size_t pcmf32_len, size_t *segs_out_len,
char *prompt);
const char *get_segment_text(int i);
int64_t get_segment_t0(int i);
int64_t get_segment_t1(int i);
const char *get_backend(void);
void set_abort(int v);
float *tts_synthesize(const char *text, int *out_n_samples); // 24kHz mono float, malloc'd; NULL on failure
void tts_free(float *pcm);
int tts_set_voice(const char *name); // best-effort speaker selection; 0 ok
int tts_set_voice_file(const char *path, const char *ref_text); // load voice pack (.gguf) or zero-shot clone (.wav + ref_text)
}

View File

@@ -1,539 +0,0 @@
package main
import (
"context"
"fmt"
"os"
"path/filepath"
"strings"
"sync"
"unsafe"
"github.com/go-audio/audio"
"github.com/go-audio/wav"
gguf "github.com/gpustack/gguf-parser-go"
"github.com/mudler/LocalAI/pkg/grpc/base"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
"github.com/mudler/LocalAI/pkg/utils"
"google.golang.org/grpc/codes"
"google.golang.org/grpc/status"
)
var (
CppLoadModel func(modelPath string, threads int, backendName string) int
CppSetCodecPath func(path string) int
CppLoadModelVAD func(modelPath string) int
CppVAD func(pcmf32 []float32, pcmf32Size uintptr, segsOut unsafe.Pointer, segsOutLen unsafe.Pointer) int
CppTranscribe func(threads uint32, lang string, translate bool, diarize bool, pcmf32 []float32, pcmf32Len uintptr, segsOutLen unsafe.Pointer, prompt string) int
CppGetSegmentText func(i int) string
CppGetSegmentStart func(i int) int64
CppGetSegmentEnd func(i int) int64
CppGetBackend func() string
CppSetAbort func(v int)
CppTTSSynthesize func(text string, outNSamples unsafe.Pointer) uintptr
CppTTSFree func(ptr uintptr)
CppTTSSetVoice func(name string) int
CppTTSSetVoiceFile func(path string, refText string) int
)
type CrispASR struct {
base.SingleThread
// sampleRate is the output rate (Hz) of the loaded TTS engine's PCM, used to
// write a correct WAV header. Most CrispASR TTS backends emit 24 kHz, but
// piper returns its model's native rate (16 kHz for x_low/low voices,
// 22.05 kHz for medium/high), so it is read from the GGUF metadata at Load.
sampleRate int
}
// defaultTTSSampleRate is the output rate assumed for CrispASR TTS engines that
// don't advertise one in GGUF metadata (vibevoice/orpheus/chatterbox/qwen3-tts
// all emit 24 kHz). piper is the exception and carries piper.sample_rate.
const defaultTTSSampleRate = 24000
// piperSampleRate reads the piper.sample_rate metadata key from a GGUF model.
// CrispASR's piper backend returns PCM at the model's native rate without
// resampling, so the WAV header must match it. Returns ok=false for non-piper
// models (key absent) or an unreadable file, letting the caller fall back to
// defaultTTSSampleRate.
func piperSampleRate(modelPath string) (int, bool) {
// Only scalar architecture keys are read, so skip the large array metadata
// (phoneme map) and mmap the header - same rationale as pkg/vram's reader.
f, err := gguf.ParseGGUFFile(modelPath, gguf.UseMMap(), gguf.SkipLargeMetadata())
if err != nil {
return 0, false
}
kv, ok := f.Header.MetadataKV.Get("piper.sample_rate")
if !ok || kv.ValueType != gguf.GGUFMetadataValueTypeUint32 {
return 0, false
}
rate := int(kv.ValueUint32())
if rate <= 0 {
return 0, false
}
return rate, true
}
// splitOption splits a "prefix:value" model option into its key and value,
// matching the convention used by other backends (see sherpa-onnx). It returns
// ok=false when the option carries no ':' separator.
func splitOption(oo string) (key, value string, ok bool) {
parts := strings.SplitN(oo, ":", 2)
if len(parts) != 2 {
return "", "", false
}
return parts[0], parts[1], true
}
func (w *CrispASR) Load(opts *pb.ModelOptions) error {
vadOnly := false
backendName := ""
codecPath := ""
speakerName := ""
voicePath := ""
voiceRefText := ""
for _, oo := range opts.Options {
if oo == "vad_only" {
vadOnly = true
continue
}
switch key, value, ok := splitOption(oo); {
case ok && key == "backend":
backendName = value
case ok && key == "codec":
codecPath = value
case ok && key == "speaker":
speakerName = value
case ok && key == "voice":
voicePath = value
case ok && key == "voice_text":
voiceRefText = value
default:
fmt.Fprintf(os.Stderr, "Unrecognized option: %v\n", oo)
}
}
if vadOnly {
if ret := CppLoadModelVAD(opts.ModelFile); ret != 0 {
return fmt.Errorf("Failed to load CrispASR VAD model")
}
return nil
}
// Resolve a relative companion path against the model directory so a config
// can reference a sibling codec/tokenizer file by name alone.
if codecPath != "" && !filepath.IsAbs(codecPath) {
codecPath = filepath.Join(filepath.Dir(opts.ModelFile), codecPath)
}
// A voice file (.gguf pack or .wav prompt) is resolved against the model
// directory just like the codec, so a config can reference a sibling file.
if voicePath != "" && !filepath.IsAbs(voicePath) {
voicePath = filepath.Join(filepath.Dir(opts.ModelFile), voicePath)
}
if ret := CppLoadModel(opts.ModelFile, int(opts.Threads), backendName); ret != 0 {
return fmt.Errorf("Failed to load CrispASR transcription model")
}
// Determine the TTS output sample rate for the WAV header. piper voices
// carry their native rate in GGUF metadata and CrispASR does not resample;
// every other engine emits the 24 kHz default.
w.sampleRate = defaultTTSSampleRate
if rate, ok := piperSampleRate(opts.ModelFile); ok {
w.sampleRate = rate
}
// Load the companion file (codec/tokenizer/s3gen) after the session is open.
// rc==0 means success or "not applicable" for the active backend; only a
// negative code is fatal.
if codecPath != "" {
if rc := CppSetCodecPath(codecPath); rc < 0 {
return fmt.Errorf("crispasr: failed to load companion file %q (rc=%d)", codecPath, rc)
}
fmt.Fprintf(os.Stderr, "CrispASR companion file loaded: %s\n", codecPath)
}
// Apply the Load-time default voice. A baked speaker (speaker:) is selected
// by name and is best-effort: a backend that can't honor it is logged, not
// fatal. A voice file (voice:) is a hard requirement once configured, so a
// negative rc fails Load.
if speakerName != "" {
if rc := CppTTSSetVoice(speakerName); rc != 0 {
fmt.Fprintf(os.Stderr, "crispasr: speaker %q not applied (rc=%d)\n", speakerName, rc)
}
}
if voicePath != "" {
if rc := CppTTSSetVoiceFile(voicePath, voiceRefText); rc < 0 {
return fmt.Errorf("crispasr: failed to load voice %q (rc=%d)", voicePath, rc)
}
fmt.Fprintf(os.Stderr, "CrispASR voice loaded: %s\n", voicePath)
}
fmt.Fprintf(os.Stderr, "CrispASR backend selected: %s\n", CppGetBackend())
return nil
}
func (w *CrispASR) VAD(req *pb.VADRequest) (pb.VADResponse, error) {
audio := req.Audio
// We expect 0xdeadbeef to be overwritten and if we see it in a stack trace we know it wasn't
segsPtr, segsLen := uintptr(0xdeadbeef), uintptr(0xdeadbeef)
segsPtrPtr, segsLenPtr := unsafe.Pointer(&segsPtr), unsafe.Pointer(&segsLen)
if ret := CppVAD(audio, uintptr(len(audio)), segsPtrPtr, segsLenPtr); ret != 0 {
return pb.VADResponse{}, fmt.Errorf("Failed VAD")
}
// Happens when CPP vector has not had any elements pushed to it
if segsPtr == 0 {
return pb.VADResponse{
Segments: []*pb.VADSegment{},
}, nil
}
// unsafeptr warning is caused by segsPtr being on the stack and therefor being subject to stack copying AFAICT
// however the stack shouldn't have grown between setting segsPtr and now, also the memory pointed to is allocated by C++
segs := unsafe.Slice((*float32)(unsafe.Pointer(segsPtr)), segsLen) //nolint:govet // segsPtr addresses C++-owned heap memory passed back through the cgo-free purego boundary; the uintptr->Pointer round-trip is intentional and the buffer outlives this read.
vadSegments := []*pb.VADSegment{}
for i := range len(segs) >> 1 {
s := segs[2*i] / 100
t := segs[2*i+1] / 100
vadSegments = append(vadSegments, &pb.VADSegment{
Start: s,
End: t,
})
}
return pb.VADResponse{
Segments: vadSegments,
}, nil
}
func (w *CrispASR) AudioTranscription(ctx context.Context, opts *pb.TranscriptRequest) (pb.TranscriptResult, error) {
if err := ctx.Err(); err != nil {
return pb.TranscriptResult{}, status.Error(codes.Canceled, "transcription cancelled")
}
dir, err := os.MkdirTemp("", "crispasr")
if err != nil {
return pb.TranscriptResult{}, err
}
defer func() { _ = os.RemoveAll(dir) }()
convertedPath := filepath.Join(dir, "converted.wav")
if err := utils.AudioToWav(opts.Dst, convertedPath); err != nil {
return pb.TranscriptResult{}, err
}
fh, err := os.Open(convertedPath)
if err != nil {
return pb.TranscriptResult{}, err
}
defer func() { _ = fh.Close() }()
d := wav.NewDecoder(fh)
buf, err := d.FullPCMBuffer()
if err != nil {
return pb.TranscriptResult{}, err
}
data := buf.AsFloat32Buffer().Data
var duration float32
if buf.Format != nil && buf.Format.SampleRate > 0 {
duration = float32(len(data)) / float32(buf.Format.SampleRate)
}
segsLen := uintptr(0xdeadbeef)
segsLenPtr := unsafe.Pointer(&segsLen)
// Watcher: flips the C-side abort flag when ctx is cancelled. The
// goroutine is joined synchronously (close(done) signals it to exit,
// wg.Wait() blocks until it has) so a late CppSetAbort(1) cannot fire
// after the function returns and corrupt the next transcription call.
done := make(chan struct{})
var wg sync.WaitGroup
wg.Add(1)
go func() {
defer wg.Done()
select {
case <-ctx.Done():
CppSetAbort(1)
case <-done:
}
}()
defer func() {
close(done)
wg.Wait()
}()
ret := CppTranscribe(opts.Threads, opts.Language, opts.Translate, opts.Diarize, data, uintptr(len(data)), segsLenPtr, opts.Prompt)
if ret == 2 {
return pb.TranscriptResult{}, status.Error(codes.Canceled, "transcription cancelled")
}
if ret != 0 {
return pb.TranscriptResult{}, fmt.Errorf("Failed Transcribe")
}
segments := []*pb.TranscriptSegment{}
text := ""
for i := range int(segsLen) {
// segment start/end conversion factor taken from https://github.com/ggml-org/whisper.cpp/blob/master/examples/cli/cli.cpp#L895
s := CppGetSegmentStart(i) * (10000000)
t := CppGetSegmentEnd(i) * (10000000)
// The session result can emit bytes that aren't valid UTF-8 (e.g. a
// multibyte codepoint split across token boundaries); protobuf string
// fields reject those at marshal time. Scrub before the value escapes
// cgo. The session result is segment+word based and exposes no token
// IDs, so Tokens is left empty.
txt := strings.ToValidUTF8(strings.Clone(CppGetSegmentText(i)), "<22>")
segment := &pb.TranscriptSegment{
Id: int32(i),
Text: txt,
Start: s, End: t,
}
segments = append(segments, segment)
text += " " + strings.TrimSpace(txt)
}
return pb.TranscriptResult{
Segments: segments,
Text: strings.TrimSpace(text),
Language: opts.Language,
Duration: duration,
}, nil
}
// AudioTranscriptionStream runs the session transcribe to completion and then
// emits one delta per non-empty segment, followed by a final TranscriptResult.
// Progressive/real-time streaming isn't available via the session API (there
// is no per-decode callback), so deltas are emitted per-segment after the
// blocking decode returns rather than as segments are produced. The offline
// AudioTranscription is unchanged; both paths share the session and the
// SingleThread concurrency model.
func (w *CrispASR) AudioTranscriptionStream(ctx context.Context, opts *pb.TranscriptRequest, results chan *pb.TranscriptStreamResponse) error {
defer close(results)
if err := ctx.Err(); err != nil {
return status.Error(codes.Canceled, "transcription cancelled")
}
dir, err := os.MkdirTemp("", "crispasr")
if err != nil {
return err
}
defer func() { _ = os.RemoveAll(dir) }()
convertedPath := filepath.Join(dir, "converted.wav")
if err := utils.AudioToWav(opts.Dst, convertedPath); err != nil {
return err
}
fh, err := os.Open(convertedPath)
if err != nil {
return err
}
defer func() { _ = fh.Close() }()
d := wav.NewDecoder(fh)
buf, err := d.FullPCMBuffer()
if err != nil {
return err
}
data := buf.AsFloat32Buffer().Data
var duration float32
if buf.Format != nil && buf.Format.SampleRate > 0 {
duration = float32(len(data)) / float32(buf.Format.SampleRate)
}
// Same abort-watcher pattern as AudioTranscription. Joined synchronously
// so a late CppSetAbort(1) cannot fire after this function returns.
// Best-effort only: the session transcribe is blocking with no abort hook.
done := make(chan struct{})
var wg sync.WaitGroup
wg.Add(1)
go func() {
defer wg.Done()
select {
case <-ctx.Done():
CppSetAbort(1)
case <-done:
}
}()
defer func() {
close(done)
wg.Wait()
}()
segsLen := uintptr(0xdeadbeef)
segsLenPtr := unsafe.Pointer(&segsLen)
ret := CppTranscribe(opts.Threads, opts.Language, opts.Translate, opts.Diarize, data, uintptr(len(data)), segsLenPtr, opts.Prompt)
if ret == 2 {
return status.Error(codes.Canceled, "transcription cancelled")
}
if ret != 0 {
return fmt.Errorf("Failed Transcribe")
}
// Walk the segments once: emit a delta per non-empty segment and build the
// final TranscriptResult.Segments alongside. The first delta has no leading
// space and subsequent ones are prefixed with a single space, so
// concat(deltas) == final.Text exactly, matching the e2e contract.
segments := []*pb.TranscriptSegment{}
var assembled strings.Builder
for i := range int(segsLen) {
s := CppGetSegmentStart(i) * 10000000
t := CppGetSegmentEnd(i) * 10000000
txt := strings.ToValidUTF8(strings.Clone(CppGetSegmentText(i)), "<22>")
segments = append(segments, &pb.TranscriptSegment{
Id: int32(i),
Text: txt,
Start: s, End: t,
})
trimmed := strings.TrimSpace(txt)
if trimmed == "" {
continue
}
var delta string
if assembled.Len() == 0 {
delta = trimmed
} else {
delta = " " + trimmed
}
results <- &pb.TranscriptStreamResponse{Delta: delta}
assembled.WriteString(delta)
}
final := &pb.TranscriptResult{
Segments: segments,
Text: assembled.String(),
Language: opts.Language,
Duration: duration,
}
results <- &pb.TranscriptStreamResponse{FinalResult: final}
return nil
}
// synthesize returns 24 kHz mono float32 PCM for text via the open session.
func (w *CrispASR) synthesize(text string) ([]float32, error) {
if text == "" {
return nil, fmt.Errorf("crispasr: TTS requires non-empty text")
}
var n int32
ptr := CppTTSSynthesize(text, unsafe.Pointer(&n))
if ptr == 0 || n <= 0 {
return nil, fmt.Errorf("crispasr: synthesis failed (the loaded model may not be a supported TTS backend, or needs extra config e.g. orpheus SNAC codec)")
}
defer CppTTSFree(ptr)
src := unsafe.Slice((*float32)(unsafe.Pointer(ptr)), int(n)) //nolint:govet // ptr addresses C-allocated PCM returned across the purego boundary; copied out immediately below, before tts_free.
out := make([]float32, int(n)) // copy out of C memory before free
copy(out, src)
return out, nil
}
// setVoice applies a per-call speaker/voice override (best effort). CrispASR
// returns a negative code when the active backend can't honor the name; we log
// it rather than fail, so an unknown voice falls back to the default speaker.
func setVoice(voice string) {
v := strings.TrimSpace(voice)
if v == "" {
return
}
if rc := CppTTSSetVoice(v); rc != 0 {
fmt.Fprintf(os.Stderr, "crispasr: voice %q not applied by the active TTS backend (rc=%d); using default\n", v, rc)
}
}
func (w *CrispASR) TTS(req *pb.TTSRequest) error {
if req.Dst == "" {
return fmt.Errorf("crispasr: TTS requires a destination path")
}
setVoice(req.Voice)
pcm, err := w.synthesize(req.Text)
if err != nil {
return err
}
return writeWAV(req.Dst, pcm, w.sampleRate)
}
// TTSStream is the streaming counterpart to TTS. CrispASR has no progressive
// (native streaming) synth, so we synthesize the whole utterance, encode it to
// a 24 kHz WAV, and emit the encoded bytes as a single chunk. The gRPC server
// wrapper (pkg/grpc/server.go:TTSStream) ranges over the channel until it is
// closed, so this method owns the close - mirrors vibevoice-cpp's TTSStream.
func (w *CrispASR) TTSStream(req *pb.TTSRequest, results chan []byte) error {
defer close(results)
if req.Text == "" {
return fmt.Errorf("crispasr: TTSStream requires text")
}
setVoice(req.Voice)
pcm, err := w.synthesize(req.Text)
if err != nil {
return err
}
tmp, err := os.CreateTemp("", "crispasr-tts-stream-*.wav")
if err != nil {
return fmt.Errorf("crispasr: tempfile: %w", err)
}
dst := tmp.Name()
if err := tmp.Close(); err != nil {
return fmt.Errorf("crispasr: close tempfile: %w", err)
}
defer func() { _ = os.Remove(dst) }()
if err := writeWAV(dst, pcm, w.sampleRate); err != nil {
return err
}
encoded, err := os.ReadFile(dst)
if err != nil {
return fmt.Errorf("crispasr: read tempfile: %w", err)
}
results <- encoded
return nil
}
// writeWAV writes pcm as a sampleRate Hz, mono, 16-bit PCM WAV at dst.
func writeWAV(dst string, pcm []float32, sampleRate int) error {
f, err := os.Create(dst)
if err != nil {
return fmt.Errorf("crispasr: create %q: %w", dst, err)
}
enc := wav.NewEncoder(f, sampleRate, 16, 1, 1)
ints := make([]int, len(pcm))
for i, s := range pcm {
if s > 1 {
s = 1
} else if s < -1 {
s = -1
}
ints[i] = int(s * 32767)
}
buf := &audio.IntBuffer{
Format: &audio.Format{NumChannels: 1, SampleRate: sampleRate},
Data: ints,
SourceBitDepth: 16,
}
if err := enc.Write(buf); err != nil {
_ = enc.Close()
_ = f.Close()
return fmt.Errorf("crispasr: encode WAV: %w", err)
}
if err := enc.Close(); err != nil {
_ = f.Close()
return fmt.Errorf("crispasr: finalize WAV: %w", err)
}
if err := f.Close(); err != nil {
return fmt.Errorf("crispasr: close %q: %w", dst, err)
}
return nil
}

View File

@@ -1,164 +0,0 @@
package main
import (
"bytes"
"encoding/binary"
"os"
"path/filepath"
"github.com/go-audio/wav"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
// GGUF metadata value type tags (subset) from the GGUF spec.
const (
ggufTypeUint32 uint32 = 4
ggufTypeString uint32 = 8
)
type ggufKV struct {
key string
vtype uint32
val any
}
// writeMinimalGGUF emits a valid, tensor-less GGUF file carrying only the given
// metadata key-values. Enough for the header-only parse path piperSampleRate
// uses; avoids pulling a real multi-MB voice into the test.
func writeMinimalGGUF(path string, kvs []ggufKV) error {
var b bytes.Buffer
b.WriteString("GGUF") // magic
_ = binary.Write(&b, binary.LittleEndian, uint32(3)) // version
_ = binary.Write(&b, binary.LittleEndian, uint64(0)) // tensor count
_ = binary.Write(&b, binary.LittleEndian, uint64(len(kvs)))
for _, kv := range kvs {
_ = binary.Write(&b, binary.LittleEndian, uint64(len(kv.key)))
b.WriteString(kv.key)
_ = binary.Write(&b, binary.LittleEndian, kv.vtype)
switch v := kv.val.(type) {
case uint32:
_ = binary.Write(&b, binary.LittleEndian, v)
case string:
_ = binary.Write(&b, binary.LittleEndian, uint64(len(v)))
b.WriteString(v)
}
}
return os.WriteFile(path, b.Bytes(), 0o644)
}
// wavSampleRate decodes the WAV header at path and returns its sample rate.
func wavSampleRate(path string) (int, error) {
f, err := os.Open(path)
if err != nil {
return 0, err
}
defer func() { _ = f.Close() }()
dec := wav.NewDecoder(f)
dec.ReadInfo()
return int(dec.SampleRate), nil
}
var _ = Describe("piper sample rate", func() {
Context("piperSampleRate", func() {
It("reads piper.sample_rate from a piper GGUF (medium = 22050)", func() {
p := filepath.Join(GinkgoT().TempDir(), "voice.gguf")
Expect(writeMinimalGGUF(p, []ggufKV{
{key: "general.architecture", vtype: ggufTypeString, val: "piper"},
{key: "piper.sample_rate", vtype: ggufTypeUint32, val: uint32(22050)},
})).To(Succeed())
rate, ok := piperSampleRate(p)
Expect(ok).To(BeTrue(), "piper.sample_rate should be found")
Expect(rate).To(Equal(22050))
})
It("reads the low-quality rate (16000)", func() {
p := filepath.Join(GinkgoT().TempDir(), "voice.gguf")
Expect(writeMinimalGGUF(p, []ggufKV{
{key: "piper.sample_rate", vtype: ggufTypeUint32, val: uint32(16000)},
})).To(Succeed())
rate, ok := piperSampleRate(p)
Expect(ok).To(BeTrue())
Expect(rate).To(Equal(16000))
})
It("returns ok=false for a non-piper GGUF (no piper.sample_rate key)", func() {
p := filepath.Join(GinkgoT().TempDir(), "other.gguf")
Expect(writeMinimalGGUF(p, []ggufKV{
{key: "general.architecture", vtype: ggufTypeString, val: "vibevoice"},
})).To(Succeed())
_, ok := piperSampleRate(p)
Expect(ok).To(BeFalse())
})
It("returns ok=false for an unreadable/non-GGUF file", func() {
p := filepath.Join(GinkgoT().TempDir(), "garbage.gguf")
Expect(os.WriteFile(p, []byte("not a gguf"), 0o644)).To(Succeed())
_, ok := piperSampleRate(p)
Expect(ok).To(BeFalse())
})
})
// End-to-end through the built .so. Gated on CRISPASR_PIPER_MODEL_PATH (a
// real piper voice GGUF) like the other model-backed specs; never runs in
// default CI. Proves CrispASR's piper backend output rate flows into the
// WAV header instead of the hardcoded 24 kHz default.
Context("piper TTS end-to-end", func() {
It("writes the WAV at the model's native piper.sample_rate", func() {
model := os.Getenv("CRISPASR_PIPER_MODEL_PATH")
if model == "" {
Skip("set CRISPASR_PIPER_MODEL_PATH to run the piper e2e spec")
}
ensureLibLoaded()
expected, ok := piperSampleRate(model)
Expect(ok).To(BeTrue(), "model should carry piper.sample_rate metadata")
w := &CrispASR{}
Expect(w.Load(&pb.ModelOptions{
ModelFile: model,
Options: []string{"backend:piper"},
Threads: 4,
})).To(Succeed())
dst := filepath.Join(GinkgoT().TempDir(), "piper.wav")
Expect(w.TTS(&pb.TTSRequest{Text: "Hello from CrispASR piper.", Dst: dst})).To(Succeed())
info, err := os.Stat(dst)
Expect(err).ToNot(HaveOccurred())
Expect(info.Size()).To(BeNumerically(">", 1024), "expected a non-trivial WAV")
rate, err := wavSampleRate(dst)
Expect(err).ToNot(HaveOccurred())
Expect(rate).To(Equal(expected),
"WAV header rate must equal the model's native piper.sample_rate, not the 24k default")
})
})
Context("writeWAV", func() {
It("writes the WAV header at the given sample rate (22050 for piper, not the 24k default)", func() {
dst := filepath.Join(GinkgoT().TempDir(), "out.wav")
pcm := make([]float32, 220) // 10 ms of silence is enough for a header
Expect(writeWAV(dst, pcm, 22050)).To(Succeed())
rate, err := wavSampleRate(dst)
Expect(err).ToNot(HaveOccurred())
Expect(rate).To(Equal(22050))
})
It("writes a 16000 Hz header for low-quality piper voices", func() {
dst := filepath.Join(GinkgoT().TempDir(), "out.wav")
pcm := make([]float32, 160)
Expect(writeWAV(dst, pcm, 16000)).To(Succeed())
rate, err := wavSampleRate(dst)
Expect(err).ToNot(HaveOccurred())
Expect(rate).To(Equal(16000))
})
})
})

View File

@@ -1,193 +0,0 @@
package main
import (
"context"
"os"
"path/filepath"
"strings"
"sync"
"testing"
"github.com/ebitengine/purego"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
"google.golang.org/grpc/codes"
"google.golang.org/grpc/status"
)
func TestCrispASR(t *testing.T) {
RegisterFailHandler(Fail)
RunSpecs(t, "CrispASR Backend Suite")
}
var (
libLoadOnce sync.Once
libLoadErr error
)
// ensureLibLoaded mirrors main.go's bootstrap so a Go test can drive the
// bridge without spinning up the gRPC server. Skips the current spec when the
// shared library isn't present (e.g. running before `make backends/whisper`).
func ensureLibLoaded() {
libLoadOnce.Do(func() {
libName := os.Getenv("CRISPASR_LIBRARY")
if libName == "" {
libName = "./libgocrispasr-fallback.so"
}
if _, err := os.Stat(libName); err != nil {
libLoadErr = err
return
}
gosd, err := purego.Dlopen(libName, purego.RTLD_NOW|purego.RTLD_GLOBAL)
if err != nil {
libLoadErr = err
return
}
purego.RegisterLibFunc(&CppLoadModel, gosd, "load_model")
purego.RegisterLibFunc(&CppSetCodecPath, gosd, "set_codec_path")
purego.RegisterLibFunc(&CppTranscribe, gosd, "transcribe")
purego.RegisterLibFunc(&CppGetSegmentText, gosd, "get_segment_text")
purego.RegisterLibFunc(&CppGetSegmentStart, gosd, "get_segment_t0")
purego.RegisterLibFunc(&CppGetSegmentEnd, gosd, "get_segment_t1")
purego.RegisterLibFunc(&CppGetBackend, gosd, "get_backend")
purego.RegisterLibFunc(&CppSetAbort, gosd, "set_abort")
purego.RegisterLibFunc(&CppTTSSynthesize, gosd, "tts_synthesize")
purego.RegisterLibFunc(&CppTTSFree, gosd, "tts_free")
purego.RegisterLibFunc(&CppTTSSetVoice, gosd, "tts_set_voice")
purego.RegisterLibFunc(&CppTTSSetVoiceFile, gosd, "tts_set_voice_file")
})
if libLoadErr != nil {
Skip("whisper library not loadable: " + libLoadErr.Error())
}
}
// fixturesOrSkip returns the model + audio paths or skips the spec if either
// env var is unset. The test never runs in default CI — it requires a real
// whisper model and a long audio file (~3 minutes) on disk.
func fixturesOrSkip() (string, string) {
modelPath := os.Getenv("CRISPASR_MODEL_PATH")
audioPath := os.Getenv("CRISPASR_AUDIO_PATH")
if modelPath == "" || audioPath == "" {
Skip("set CRISPASR_MODEL_PATH and CRISPASR_AUDIO_PATH to run this spec")
}
return modelPath, audioPath
}
// ttsModelOrSkip returns the TTS model path or skips the spec when the env var
// is unset. Like the transcription fixtures, this never runs in default CI — it
// needs a real TTS model (e.g. a vibevoice GGUF) on disk.
func ttsModelOrSkip() string {
modelPath := os.Getenv("CRISPASR_TTS_MODEL_PATH")
if modelPath == "" {
Skip("set CRISPASR_TTS_MODEL_PATH to run this spec")
}
return modelPath
}
var _ = Describe("CrispASR", func() {
Context("AudioTranscription cancellation", func() {
It("returns codes.Canceled on a pre-cancelled context and still succeeds afterwards", func() {
modelPath, audioPath := fixturesOrSkip()
ensureLibLoaded()
w := &CrispASR{}
Expect(w.Load(&pb.ModelOptions{ModelFile: modelPath})).To(Succeed())
// The session transcribe is blocking and exposes no abort hook, so
// a mid-decode cancel can't interrupt it. The contract we can rely
// on is the pre-call ctx.Err() check: a context cancelled before
// the call must yield codes.Canceled without starting a decode.
ctx, cancel := context.WithCancel(context.Background())
cancel()
_, err := w.AudioTranscription(ctx, &pb.TranscriptRequest{
Dst: audioPath,
Threads: 4,
Language: "en",
})
Expect(err).To(HaveOccurred(), "expected pre-cancelled context to fail")
st, ok := status.FromError(err)
Expect(ok).To(BeTrue(), "expected gRPC status error, got %v", err)
Expect(st.Code()).To(Equal(codes.Canceled), "expected codes.Canceled, got %v", err)
// Subsequent transcription must succeed — proves g_abort reset.
res, err := w.AudioTranscription(context.Background(), &pb.TranscriptRequest{
Dst: audioPath,
Threads: 4,
Language: "en",
})
Expect(err).ToNot(HaveOccurred(), "post-cancel transcription failed")
Expect(res.Text).ToNot(BeEmpty(), "post-cancel transcription returned empty text")
})
})
Context("AudioTranscriptionStream", func() {
It("emits multiple deltas progressively for a multi-segment clip", func() {
modelPath, audioPath := fixturesOrSkip()
ensureLibLoaded()
w := &CrispASR{}
Expect(w.Load(&pb.ModelOptions{ModelFile: modelPath})).To(Succeed())
results := make(chan *pb.TranscriptStreamResponse, 64)
done := make(chan error, 1)
go func() {
done <- w.AudioTranscriptionStream(context.Background(), &pb.TranscriptRequest{
Dst: audioPath,
Threads: 4,
Language: "en",
Stream: true,
}, results)
}()
var deltas []string
var assembled strings.Builder
var finalText string
var finalSegmentCount int
for chunk := range results {
if d := chunk.GetDelta(); d != "" {
deltas = append(deltas, d)
assembled.WriteString(d)
}
if final := chunk.GetFinalResult(); final != nil {
finalText = final.GetText()
finalSegmentCount = len(final.GetSegments())
}
}
Expect(<-done).ToNot(HaveOccurred())
// One delta per non-empty segment is emitted after the blocking
// decode returns (the session API has no per-decode callback), so a
// multi-segment clip MUST produce >=2 delta events, and
// concat(deltas) MUST equal final.Text exactly.
Expect(len(deltas)).To(BeNumerically(">=", 2),
"expected multiple deltas from a multi-segment clip, got %d (assembled=%q)",
len(deltas), assembled.String())
Expect(finalSegmentCount).To(BeNumerically(">=", 2),
"expected final to carry multiple segments")
Expect(assembled.String()).To(Equal(finalText),
"concat(deltas) must equal final.Text")
})
})
Context("TTS", func() {
It("synthesizes a non-empty WAV", func() {
ttsModel := ttsModelOrSkip()
ensureLibLoaded()
w := &CrispASR{}
Expect(w.Load(&pb.ModelOptions{ModelFile: ttsModel})).To(Succeed())
dst := filepath.Join(GinkgoT().TempDir(), "out.wav")
Expect(w.TTS(&pb.TTSRequest{Text: "Hello from CrispASR.", Dst: dst})).To(Succeed())
info, err := os.Stat(dst)
Expect(err).ToNot(HaveOccurred(), "synthesized WAV should exist at %q", dst)
// A real 24 kHz mono WAV is a 44-byte header plus samples; anything
// this small would mean an empty/failed synth.
Expect(info.Size()).To(BeNumerically(">", 1024),
"expected a non-trivial WAV, got %d bytes", info.Size())
})
})
})

View File

@@ -1,58 +0,0 @@
package main
// Note: this is started internally by LocalAI and a server is allocated for each model
import (
"flag"
"os"
"github.com/ebitengine/purego"
grpc "github.com/mudler/LocalAI/pkg/grpc"
)
var (
addr = flag.String("addr", "localhost:50051", "the address to connect to")
)
type LibFuncs struct {
FuncPtr any
Name string
}
func main() {
libName := os.Getenv("CRISPASR_LIBRARY")
if libName == "" {
libName = "./libgocrispasr-fallback.so"
}
lib, err := purego.Dlopen(libName, purego.RTLD_NOW|purego.RTLD_GLOBAL)
if err != nil {
panic(err)
}
libFuncs := []LibFuncs{
{&CppLoadModel, "load_model"},
{&CppSetCodecPath, "set_codec_path"},
{&CppLoadModelVAD, "load_model_vad"},
{&CppVAD, "vad"},
{&CppTranscribe, "transcribe"},
{&CppGetSegmentText, "get_segment_text"},
{&CppGetSegmentStart, "get_segment_t0"},
{&CppGetSegmentEnd, "get_segment_t1"},
{&CppGetBackend, "get_backend"},
{&CppSetAbort, "set_abort"},
{&CppTTSSynthesize, "tts_synthesize"},
{&CppTTSFree, "tts_free"},
{&CppTTSSetVoice, "tts_set_voice"},
{&CppTTSSetVoiceFile, "tts_set_voice_file"},
}
for _, lf := range libFuncs {
purego.RegisterLibFunc(lf.FuncPtr, lib, lf.Name)
}
flag.Parse()
if err := grpc.StartServer(*addr, &CrispASR{}); err != nil {
panic(err)
}
}

View File

@@ -1,91 +0,0 @@
#!/bin/bash
# Script to copy the appropriate libraries based on architecture
# This script is used in the final stage of the Dockerfile
set -e
CURDIR=$(dirname "$(realpath $0)")
REPO_ROOT="${CURDIR}/../../.."
# Create lib directory
mkdir -p $CURDIR/package/lib
cp -avf $CURDIR/crispasr $CURDIR/package/
cp -fv $CURDIR/libgocrispasr-*.so $CURDIR/package/
cp -fv $CURDIR/run.sh $CURDIR/package/
# Detect architecture and copy appropriate libraries
if [ -f "/lib64/ld-linux-x86-64.so.2" ]; then
# x86_64 architecture
echo "Detected x86_64 architecture, copying x86_64 libraries..."
cp -arfLv /lib64/ld-linux-x86-64.so.2 $CURDIR/package/lib/ld.so
cp -arfLv /lib/x86_64-linux-gnu/libc.so.6 $CURDIR/package/lib/libc.so.6
cp -arfLv /lib/x86_64-linux-gnu/libgcc_s.so.1 $CURDIR/package/lib/libgcc_s.so.1
cp -arfLv /lib/x86_64-linux-gnu/libstdc++.so.6 $CURDIR/package/lib/libstdc++.so.6
cp -arfLv /lib/x86_64-linux-gnu/libm.so.6 $CURDIR/package/lib/libm.so.6
cp -arfLv /lib/x86_64-linux-gnu/libgomp.so.1 $CURDIR/package/lib/libgomp.so.1
cp -arfLv /lib/x86_64-linux-gnu/libgcc_s.so.1 $CURDIR/package/lib/libgcc_s.so.1
cp -arfLv /lib/x86_64-linux-gnu/libstdc++.so.6 $CURDIR/package/lib/libstdc++.so.6
cp -arfLv /lib/x86_64-linux-gnu/libdl.so.2 $CURDIR/package/lib/libdl.so.2
cp -arfLv /lib/x86_64-linux-gnu/librt.so.1 $CURDIR/package/lib/librt.so.1
cp -arfLv /lib/x86_64-linux-gnu/libpthread.so.0 $CURDIR/package/lib/libpthread.so.0
elif [ -f "/lib/ld-linux-aarch64.so.1" ]; then
# ARM64 architecture
echo "Detected ARM64 architecture, copying ARM64 libraries..."
cp -arfLv /lib/ld-linux-aarch64.so.1 $CURDIR/package/lib/ld.so
cp -arfLv /lib/aarch64-linux-gnu/libc.so.6 $CURDIR/package/lib/libc.so.6
cp -arfLv /lib/aarch64-linux-gnu/libgcc_s.so.1 $CURDIR/package/lib/libgcc_s.so.1
cp -arfLv /lib/aarch64-linux-gnu/libstdc++.so.6 $CURDIR/package/lib/libstdc++.so.6
cp -arfLv /lib/aarch64-linux-gnu/libm.so.6 $CURDIR/package/lib/libm.so.6
cp -arfLv /lib/aarch64-linux-gnu/libgomp.so.1 $CURDIR/package/lib/libgomp.so.1
cp -arfLv /lib/aarch64-linux-gnu/libgcc_s.so.1 $CURDIR/package/lib/libgcc_s.so.1
cp -arfLv /lib/aarch64-linux-gnu/libstdc++.so.6 $CURDIR/package/lib/libstdc++.so.6
cp -arfLv /lib/aarch64-linux-gnu/libdl.so.2 $CURDIR/package/lib/libdl.so.2
cp -arfLv /lib/aarch64-linux-gnu/librt.so.1 $CURDIR/package/lib/librt.so.1
cp -arfLv /lib/aarch64-linux-gnu/libpthread.so.0 $CURDIR/package/lib/libpthread.so.0
elif [ $(uname -s) = "Darwin" ]; then
echo "Detected Darwin"
else
echo "Error: Could not detect architecture"
exit 1
fi
# Bundle espeak-ng (+ its libpcaudio/libsonic runtime deps) and its voice data so
# the piper TTS backend can phonemize non-English text. CrispASR dlopens
# libespeak-ng.so.1 at runtime (the MIT-clean path); the dlopen succeeds loading
# libespeak-ng but FAILS if libpcaudio/libsonic are absent, so all three .so are
# required. run.sh points CRISPASR_ESPEAK_DATA_PATH at the bundled data dir.
# Best-effort: only copied when present, so a local dev build without espeak-ng
# installed still packages the rest (English voices keep working).
ESPEAK_LIBDIR=""
for d in /usr/lib/x86_64-linux-gnu /usr/lib/aarch64-linux-gnu; do
if [ -f "$d/libespeak-ng.so.1" ]; then
ESPEAK_LIBDIR="$d"
break
fi
done
if [ -n "$ESPEAK_LIBDIR" ]; then
echo "Bundling espeak-ng from $ESPEAK_LIBDIR ..."
cp -arfLv "$ESPEAK_LIBDIR/libespeak-ng.so.1" $CURDIR/package/lib/
cp -arfLv "$ESPEAK_LIBDIR/libpcaudio.so.0" $CURDIR/package/lib/
cp -arfLv "$ESPEAK_LIBDIR/libsonic.so.0" $CURDIR/package/lib/
if [ -d "$ESPEAK_LIBDIR/espeak-ng-data" ]; then
cp -arfLv "$ESPEAK_LIBDIR/espeak-ng-data" $CURDIR/package/
fi
else
echo "espeak-ng not found; non-English piper voices will not phonemize"
fi
# Package GPU libraries based on BUILD_TYPE
# The GPU library packaging script will detect BUILD_TYPE and copy appropriate GPU libraries
GPU_LIB_SCRIPT="${REPO_ROOT}/scripts/build/package-gpu-libs.sh"
if [ -f "$GPU_LIB_SCRIPT" ]; then
echo "Packaging GPU libraries for BUILD_TYPE=${BUILD_TYPE:-cpu}..."
source "$GPU_LIB_SCRIPT" "$CURDIR/package/lib"
package_gpu_libs
fi
echo "Packaging completed successfully"
ls -liah $CURDIR/package/
ls -liah $CURDIR/package/lib/

View File

@@ -1,57 +0,0 @@
#!/bin/bash
set -ex
# Get the absolute current dir where the script is located
CURDIR=$(dirname "$(realpath $0)")
cd /
echo "CPU info:"
if [ "$(uname)" != "Darwin" ]; then
grep -e "model\sname" /proc/cpuinfo | head -1
grep -e "flags" /proc/cpuinfo | head -1
fi
LIBRARY="$CURDIR/libgocrispasr-fallback.so"
if [ "$(uname)" != "Darwin" ]; then
if grep -q -e "\savx\s" /proc/cpuinfo ; then
echo "CPU: AVX found OK"
if [ -e $CURDIR/libgocrispasr-avx.so ]; then
LIBRARY="$CURDIR/libgocrispasr-avx.so"
fi
fi
if grep -q -e "\savx2\s" /proc/cpuinfo ; then
echo "CPU: AVX2 found OK"
if [ -e $CURDIR/libgocrispasr-avx2.so ]; then
LIBRARY="$CURDIR/libgocrispasr-avx2.so"
fi
fi
# Check avx 512
if grep -q -e "\savx512f\s" /proc/cpuinfo ; then
echo "CPU: AVX512F found OK"
if [ -e $CURDIR/libgocrispasr-avx512.so ]; then
LIBRARY="$CURDIR/libgocrispasr-avx512.so"
fi
fi
fi
export LD_LIBRARY_PATH=$CURDIR/lib:$LD_LIBRARY_PATH
export CRISPASR_LIBRARY=$LIBRARY
# Point piper's espeak-ng phonemizer at the bundled voice data. The variable
# names the directory CONTAINING espeak-ng-data (package.sh drops it next to
# this script). Harmless when espeak-ng wasn't bundled.
export CRISPASR_ESPEAK_DATA_PATH=$CURDIR
# If there is a lib/ld.so, use it
if [ -f $CURDIR/lib/ld.so ]; then
echo "Using lib/ld.so"
echo "Using library: $LIBRARY"
exec $CURDIR/lib/ld.so $CURDIR/crispasr "$@"
fi
echo "Using library: $LIBRARY"
exec $CURDIR/crispasr "$@"

View File

@@ -1,7 +0,0 @@
sources/
build*/
package/
libdepthanythingcpp*.so
depth-anything-cpp
test-models/
test-data/

View File

@@ -1,28 +0,0 @@
cmake_minimum_required(VERSION 3.18)
project(libdepthanythingcpp LANGUAGES C CXX)
set(CMAKE_POSITION_INDEPENDENT_CODE ON)
set(CMAKE_CXX_STANDARD 17)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
# Static-link ggml into the depth-anything shared library so the resulting .so
# has no runtime dependency on an external libggml — only on
# libc/libstdc++/libgomp, which the LocalAI package step bundles into the
# docker image.
set(BUILD_SHARED_LIBS OFF CACHE BOOL "Build static libraries" FORCE)
# depth-anything.cpp build switches: skip CLI/tests, but build libdepthanything
# itself as a SHARED library (DA_SHARED) while ggml stays static
# (BUILD_SHARED_LIBS OFF above). The da_capi_* C ABI is compiled into
# src/da_capi.cpp and re-exported by that shared library, so no extra MODULE
# wrapper is needed (unlike locate-anything.cpp).
set(DA_BUILD_CLI OFF CACHE BOOL "Disable depth-anything CLI" FORCE)
set(DA_BUILD_TESTS OFF CACHE BOOL "Disable depth-anything tests" FORCE)
set(DA_SHARED ON CACHE BOOL "Build libdepthanything as a shared lib" FORCE)
add_subdirectory(./sources/depth-anything.cpp)
# Emit libdepthanything.so into the top-level build dir so the Makefile can
# rename it to the per-variant libdepthanythingcpp-<variant>.so.
set_target_properties(depthanything PROPERTIES
LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR})

View File

@@ -1,139 +0,0 @@
CMAKE_ARGS?=
BUILD_TYPE?=
NATIVE?=false
GOCMD?=go
GO_TAGS?=
JOBS?=$(shell nproc --ignore=1)
# depth-anything.cpp. Pin to a specific commit for a stable build; a squash
# merge upstream can orphan a branch, so the native version is pinned by SHA.
# This SHA adds the nested two-file metric C-API (abi_version 4,
# da_capi_load_nested) required by the depth-anything-3-nested gallery model;
# tag it (e.g. v0.1.3) upstream to keep the SHA alive.
DEPTHANYTHING_REPO?=https://github.com/mudler/depth-anything.cpp.git
DEPTHANYTHING_VERSION?=cce5edc395fd1843806093d7ccc0c8b0d0b97b72
ifeq ($(NATIVE),false)
CMAKE_ARGS+=-DGGML_NATIVE=OFF
endif
# Forward LocalAI's BUILD_TYPE to the matching ggml backend switch. depth-anything.cpp
# force-sets GGML_CUDA/GGML_VULKAN/GGML_METAL from its own DA_GGML_* options, so
# those must be toggled via the DA_GGML_* names (a bare -DGGML_CUDA=ON would be
# overridden); the remaining ggml switches pass straight through.
ifeq ($(BUILD_TYPE),cublas)
CMAKE_ARGS+=-DGGML_CUDA=ON -DDA_GGML_CUDA=ON
else ifeq ($(BUILD_TYPE),openblas)
CMAKE_ARGS+=-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
else ifeq ($(BUILD_TYPE),clblas)
CMAKE_ARGS+=-DGGML_CLBLAST=ON
else ifeq ($(BUILD_TYPE),hipblas)
ROCM_HOME ?= /opt/rocm
ROCM_PATH ?= /opt/rocm
export CXX=$(ROCM_HOME)/llvm/bin/clang++
export CC=$(ROCM_HOME)/llvm/bin/clang
AMDGPU_TARGETS?=gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1200,gfx1201
CMAKE_ARGS+=-DGGML_HIPBLAS=ON -DAMDGPU_TARGETS=$(AMDGPU_TARGETS)
else ifeq ($(BUILD_TYPE),vulkan)
CMAKE_ARGS+=-DGGML_VULKAN=ON -DDA_GGML_VULKAN=ON
else ifeq ($(OS),Darwin)
ifneq ($(BUILD_TYPE),metal)
CMAKE_ARGS+=-DGGML_METAL=OFF
else
CMAKE_ARGS+=-DGGML_METAL=ON
CMAKE_ARGS+=-DGGML_METAL_EMBED_LIBRARY=ON
CMAKE_ARGS+=-DDA_GGML_METAL=ON
endif
endif
ifeq ($(BUILD_TYPE),sycl_f16)
CMAKE_ARGS+=-DGGML_SYCL=ON \
-DCMAKE_C_COMPILER=icx \
-DCMAKE_CXX_COMPILER=icpx \
-DGGML_SYCL_F16=ON
endif
ifeq ($(BUILD_TYPE),sycl_f32)
CMAKE_ARGS+=-DGGML_SYCL=ON \
-DCMAKE_C_COMPILER=icx \
-DCMAKE_CXX_COMPILER=icpx
endif
sources/depth-anything.cpp:
mkdir -p sources && \
git clone --recursive $(DEPTHANYTHING_REPO) sources/depth-anything.cpp && \
cd sources/depth-anything.cpp && \
git checkout $(DEPTHANYTHING_VERSION) && \
git submodule update --init --recursive --depth 1 --single-branch
# Detect OS
UNAME_S := $(shell uname -s)
# Only build CPU variants on Linux
ifeq ($(UNAME_S),Linux)
VARIANT_TARGETS = libdepthanythingcpp-avx.so libdepthanythingcpp-avx2.so libdepthanythingcpp-avx512.so libdepthanythingcpp-fallback.so
else
# On non-Linux (e.g., Darwin), build only fallback variant
VARIANT_TARGETS = libdepthanythingcpp-fallback.so
endif
depth-anything-cpp: main.go godepthanythingcpp.go $(VARIANT_TARGETS)
CGO_ENABLED=0 $(GOCMD) build -tags "$(GO_TAGS)" -o depth-anything-cpp ./
package: depth-anything-cpp
bash package.sh
build: package
clean: purge
rm -rf libdepthanythingcpp*.so depth-anything-cpp package sources
purge:
rm -rf build*
# Build all variants (Linux only)
ifeq ($(UNAME_S),Linux)
libdepthanythingcpp-avx.so: sources/depth-anything.cpp
rm -rfv build-$@
$(info ${GREEN}I depth-anything-cpp build info:avx${RESET})
SO_TARGET=$@ CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) libdepthanythingcpp-custom
rm -rfv build-$@
libdepthanythingcpp-avx2.so: sources/depth-anything.cpp
rm -rfv build-$@
$(info ${GREEN}I depth-anything-cpp build info:avx2${RESET})
SO_TARGET=$@ CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=off -DGGML_FMA=on -DGGML_F16C=on -DGGML_BMI2=on" $(MAKE) libdepthanythingcpp-custom
rm -rfv build-$@
libdepthanythingcpp-avx512.so: sources/depth-anything.cpp
rm -rfv build-$@
$(info ${GREEN}I depth-anything-cpp build info:avx512${RESET})
SO_TARGET=$@ CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=on -DGGML_FMA=on -DGGML_F16C=on -DGGML_BMI2=on" $(MAKE) libdepthanythingcpp-custom
rm -rfv build-$@
endif
# Build fallback variant (all platforms)
libdepthanythingcpp-fallback.so: sources/depth-anything.cpp
rm -rfv build-$@
$(info ${GREEN}I depth-anything-cpp build info:fallback${RESET})
SO_TARGET=$@ CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) libdepthanythingcpp-custom
rm -rfv build-$@
libdepthanythingcpp-custom: CMakeLists.txt
mkdir -p build-$(SO_TARGET) && \
cd build-$(SO_TARGET) && \
cmake .. $(CMAKE_ARGS) && \
cmake --build . --config Release -j$(JOBS) && \
cd .. && \
mv build-$(SO_TARGET)/libdepthanything.so ./$(SO_TARGET)
all: depth-anything-cpp package
# `test` is invoked by the top-level Makefile's `test-extra` target. It builds
# the backend binary + the fallback shared library (needed for dlopen at
# runtime), then runs test.sh which downloads a small GGUF + a test image and
# exercises the gRPC Load/Predict wire path via the Go smoke test in
# main_test.go.
test: depth-anything-cpp libdepthanythingcpp-fallback.so
bash test.sh

View File

@@ -1,556 +0,0 @@
package main
// godepthanythingcpp.go - gRPC handlers (Load, Predict, GenerateImage) for the
// depth-anything-cpp backend, wrapping the Depth Anything 3 ggml C-API
// (libdepthanythingcpp-<variant>.so) via purego.
//
// Embeds base.SingleThread to default the unimplemented RPCs to "not supported"
// and to serialize calls — the C side shares a ggml graph allocator and is NOT
// reentrant, so all inference must run one-at-a-time.
//
// Depth has no native OpenAI endpoint, so the model is exposed two ways:
//
// - GenerateImage(src, dst): run depth on the src image and write a
// min-max-normalised grayscale depth PNG to dst.
// - Predict(images[0]): run depth+pose and return a JSON blob with the depth
// dimensions, depth stats and the camera extrinsics (3x4) / intrinsics (3x3).
import (
"encoding/base64"
"encoding/json"
"fmt"
"image"
"image/png"
"math"
"os"
"path/filepath"
"strings"
"unsafe"
"github.com/mudler/LocalAI/pkg/grpc/base"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
)
// C-API function pointers, registered in main.go via purego. The da_capi_*
// symbols live inside libdepthanything (src/da_capi.cpp) and are re-exported by
// the DA_SHARED build.
var (
// da_capi_load(const char* gguf_path, int n_threads) -> da_ctx* (0 = fail)
CapiLoad func(gguf string, nThreads int32) uintptr
// da_capi_load_nested(const char* anyview_gguf, const char* metric_gguf,
// int n_threads) -> da_ctx* (0 = fail). The returned ctx serves the nested
// metric model: depth/pose calls produce final metric-scale depth + scaled pose.
CapiLoadNested func(anyview string, metric string, nThreads int32) uintptr
// da_capi_free(da_ctx* ctx) — safe on a 0 handle.
CapiFree func(handle uintptr)
// da_capi_last_error(da_ctx* ctx) -> const char* (owned by ctx, "" if none).
// purego marshals the returned C string into a Go string (a copy), so we
// never free it.
CapiLastError func(handle uintptr) string
// da_capi_depth_path(ctx, image_path, out_h*, out_w*) -> float* depth map
// (row-major H*W); nil on error. Caller frees via da_capi_free_floats.
CapiDepthPath func(handle uintptr, imagePath string, outH *int32, outW *int32) *float32
// da_capi_free_floats(float* p)
CapiFreeFloats func(p *float32)
// da_capi_pose_path(ctx, image_path, out_ext[12], out_intr[9]) -> 0 ok, -1 err
CapiPosePath func(handle uintptr, imagePath string, outExt *float32, outIntr *float32) int32
// da_capi_depth_dense(ctx, image_path, out_h*, out_w*, out_depth**, out_conf**,
// out_sky**, out_ext[12], out_intr[9], out_is_metric*) -> 0 ok, -1 err.
// Each non-NULL out_depth/out_conf/out_sky receives a malloc'd float[H*W] (free
// via da_capi_free_floats); buffers the model doesn't produce are set NULL.
CapiDepthDense func(handle uintptr, imagePath string,
outH, outW *int32,
outDepth, outConf, outSky **float32,
outExt, outIntr *float32,
outIsMetric *int32) int32
// da_capi_points(ctx, image_path, conf_thresh, out_n*, out_xyz**, out_rgb**) ->
// 0 ok, -1 err. *out_xyz = malloc'd float[3*N] (free via da_capi_free_floats),
// *out_rgb = malloc'd uint8[3*N] (free via da_capi_free_bytes).
CapiPoints func(handle uintptr, imagePath string, confThresh float32,
outN *int32, outXyz **float32, outRgb **byte) int32
// da_capi_free_bytes(unsigned char* p)
CapiFreeBytes func(p *byte)
// da_capi_export_glb(ctx, image_path, out_glb) -> 0 ok, -1 err
CapiExportGlb func(handle uintptr, imagePath string, outGlb string) int32
// da_capi_export_colmap(ctx, image_path, out_dir, binary) -> 0 ok, -1 err
CapiExportColmap func(handle uintptr, imagePath string, outDir string, binary int32) int32
)
type DepthAnythingCpp struct {
base.SingleThread
handle uintptr
}
// Load loads the GGUF model at opts.ModelFile (joined with opts.ModelPath if
// relative) and stores the da_ctx handle for later inference calls.
func (r *DepthAnythingCpp) Load(opts *pb.ModelOptions) error {
modelFile := opts.ModelFile
if modelFile == "" {
modelFile = opts.Model
}
if modelFile == "" {
return fmt.Errorf("depth-anything-cpp: ModelFile is empty")
}
resolve := func(name string) string {
if filepath.IsAbs(name) {
return name
}
return filepath.Join(opts.ModelPath, name)
}
modelPath := resolve(modelFile)
if _, err := os.Stat(modelPath); err != nil {
return fmt.Errorf("depth-anything-cpp: model file not found: %s: %w", modelPath, err)
}
// Nested metric models are a two-file pair: the main model is the anyview
// (GIANT) branch and the metric (ViT-L + DPT/sky) branch is named via a
// "metric_model:<filename>" entry in opts.Options. When present we load both
// branches so the engine runs the nested metric alignment.
metricFile := optionValue(opts.Options, "metric_model")
threads := opts.Threads
if threads <= 0 {
threads = 4
}
// Release previous model if any (re-Load).
if r.handle != 0 {
CapiFree(r.handle)
r.handle = 0
}
var h uintptr
if metricFile != "" {
metricPath := resolve(metricFile)
if _, err := os.Stat(metricPath); err != nil {
return fmt.Errorf("depth-anything-cpp: metric_model file not found: %s: %w", metricPath, err)
}
h = CapiLoadNested(modelPath, metricPath, threads)
if h == 0 {
if msg := CapiLastError(0); msg != "" {
return fmt.Errorf("depth-anything-cpp: da_capi_load_nested failed for %s + %s: %s", modelPath, metricPath, msg)
}
return fmt.Errorf("depth-anything-cpp: da_capi_load_nested failed for %s + %s", modelPath, metricPath)
}
} else {
h = CapiLoad(modelPath, threads)
if h == 0 {
// da_capi_last_error needs a ctx; on a failed load we have none (it
// returns "" for a null ctx), so the text is best-effort.
if msg := CapiLastError(0); msg != "" {
return fmt.Errorf("depth-anything-cpp: da_capi_load failed for %s: %s", modelPath, msg)
}
return fmt.Errorf("depth-anything-cpp: da_capi_load failed for %s", modelPath)
}
}
r.handle = h
return nil
}
// optionValue returns the value of the first "key:value" entry in opts whose key
// matches (case-sensitive), or "" if absent. Mirrors how other LocalAI backends
// read ModelOptions.Options.
func optionValue(opts []string, key string) string {
prefix := key + ":"
for _, o := range opts {
if strings.HasPrefix(o, prefix) {
return strings.TrimSpace(o[len(prefix):])
}
}
return ""
}
// depthResult is the JSON payload returned by Predict.
type depthResult struct {
DepthW int `json:"depth_w"`
DepthH int `json:"depth_h"`
DepthMin float32 `json:"depth_min"`
DepthMax float32 `json:"depth_max"`
Extrinsics [12]float32 `json:"extrinsics"` // 3x4 row-major
Intrinsics [9]float32 `json:"intrinsics"` // 3x3 row-major
}
// Predict runs depth+pose on the first supplied image and returns depth
// statistics + camera pose as a JSON string. LocalAI wraps the string into the
// Reply.Message of the gRPC response. The image in Images[0] may be a
// filesystem path or a base64-encoded payload.
func (r *DepthAnythingCpp) Predict(opts *pb.PredictOptions) (string, error) {
imgs := opts.GetImages()
if len(imgs) == 0 {
return "", fmt.Errorf("depth-anything-cpp: Predict requires an image in Images[]")
}
imgPath, cleanup, err := materializeImage(imgs[0])
if err != nil {
return "", fmt.Errorf("depth-anything-cpp: %w", err)
}
defer cleanup()
depth, h, w, ext, intr, err := r.runDepthPose(imgPath)
if err != nil {
return "", err
}
dmin, dmax := minMax(depth)
payload, err := json.Marshal(depthResult{
DepthW: w, DepthH: h,
DepthMin: dmin, DepthMax: dmax,
Extrinsics: ext, Intrinsics: intr,
})
if err != nil {
return "", fmt.Errorf("depth-anything-cpp: marshal: %w", err)
}
return string(payload), nil
}
// GenerateImage runs depth on req.Src and writes a normalised grayscale depth
// PNG to req.Dst.
func (r *DepthAnythingCpp) GenerateImage(req *pb.GenerateImageRequest) error {
if req.GetSrc() == "" {
return fmt.Errorf("depth-anything-cpp: GenerateImage requires src")
}
if req.GetDst() == "" {
return fmt.Errorf("depth-anything-cpp: GenerateImage requires dst")
}
imgPath, cleanup, err := materializeImage(req.GetSrc())
if err != nil {
return fmt.Errorf("depth-anything-cpp: %w", err)
}
defer cleanup()
depth, h, w, _, _, err := r.runDepthPose(imgPath)
if err != nil {
return err
}
return writeDepthPNG(req.GetDst(), depth, h, w)
}
// Depth is the typed Depth RPC. It runs the Depth Anything 3 pipeline on the
// request's src image and fills a DepthResponse honoring the include_* flags and
// exports: per-pixel metric depth + confidence (DualDPT) or depth + sky (mono),
// camera extrinsics/intrinsics, an optional back-projected 3D point cloud and
// glb/COLMAP exports. The src may be a filesystem path or a base64 payload.
func (r *DepthAnythingCpp) Depth(in *pb.DepthRequest) (pb.DepthResponse, error) {
// Accumulate into locals and return a single composite literal at the end:
// returning a named pb.DepthResponse value would copy its embedded mutex
// (go vet copylocks).
if r.handle == 0 {
return pb.DepthResponse{}, fmt.Errorf("depth-anything-cpp: model not loaded")
}
if in.GetSrc() == "" {
return pb.DepthResponse{}, fmt.Errorf("depth-anything-cpp: Depth requires src")
}
imgPath, cleanup, err := materializeImage(in.GetSrc())
if err != nil {
return pb.DepthResponse{}, fmt.Errorf("depth-anything-cpp: %w", err)
}
defer cleanup()
// Dense per-pixel output + pose. Pass buffer pointers only for the
// requested maps so the native side can skip unrequested work; ext/intr
// must always point at 12/9 floats per the C ABI.
var (
h, w, isMetric int32
depthPtr, confPtr *float32
skyPtr *float32
ext [12]float32
intr [9]float32
pDepth, pConf, pSky **float32
)
if in.GetIncludeDepth() {
pDepth = &depthPtr
}
if in.GetIncludeConfidence() {
pConf = &confPtr
}
if in.GetIncludeSky() {
pSky = &skyPtr
}
rc := CapiDepthDense(r.handle, imgPath, &h, &w, pDepth, pConf, pSky, &ext[0], &intr[0], &isMetric)
if rc != 0 {
return pb.DepthResponse{}, fmt.Errorf("depth-anything-cpp: da_capi_depth_dense failed (rc=%d): %s", rc, r.lastError())
}
n := int(h) * int(w)
var (
depth, conf, sky []float32
extrinsics, intrinsic []float32
numPoints int32
points []float32
pointColors []byte
exportPaths []string
)
if depthPtr != nil {
depth = copyFloats(depthPtr, n)
CapiFreeFloats(depthPtr)
}
if confPtr != nil {
conf = copyFloats(confPtr, n)
CapiFreeFloats(confPtr)
}
if skyPtr != nil {
sky = copyFloats(skyPtr, n)
CapiFreeFloats(skyPtr)
}
if in.GetIncludePose() {
extrinsics = append([]float32(nil), ext[:]...)
intrinsic = append([]float32(nil), intr[:]...)
}
// 3D point cloud (DualDPT / pose-capable models only).
if in.GetIncludePoints() {
var (
np int32
xyzPtr *float32
rgbPtr *byte
)
if rc := CapiPoints(r.handle, imgPath, in.GetPointsConfThresh(), &np, &xyzPtr, &rgbPtr); rc != 0 {
return pb.DepthResponse{}, fmt.Errorf("depth-anything-cpp: da_capi_points failed (rc=%d): %s", rc, r.lastError())
}
numPoints = np
if xyzPtr != nil {
points = copyFloats(xyzPtr, int(np)*3)
CapiFreeFloats(xyzPtr)
}
if rgbPtr != nil {
pointColors = copyBytes(rgbPtr, int(np)*3)
CapiFreeBytes(rgbPtr)
}
}
// Exports (glb / colmap). They are written under in.Dst (a directory); a
// temp dir is used when Dst is empty.
if len(in.GetExports()) > 0 {
exportPaths, err = r.runExports(imgPath, in.GetDst(), in.GetExports())
if err != nil {
return pb.DepthResponse{}, err
}
}
return pb.DepthResponse{
Width: w,
Height: h,
Depth: depth,
Confidence: conf,
Sky: sky,
Extrinsics: extrinsics,
Intrinsics: intrinsic,
NumPoints: numPoints,
Points: points,
PointColors: pointColors,
ExportPaths: exportPaths,
IsMetric: isMetric != 0,
}, nil
}
// runExports writes the requested exports for imgPath into dstDir and returns
// the written paths. Supported exports: "glb", "colmap".
func (r *DepthAnythingCpp) runExports(imgPath, dstDir string, exports []string) ([]string, error) {
if dstDir == "" {
tmp, err := os.MkdirTemp("", "depth-anything-export-*")
if err != nil {
return nil, fmt.Errorf("depth-anything-cpp: mkdir export dir: %w", err)
}
dstDir = tmp
} else if err := os.MkdirAll(dstDir, 0o750); err != nil {
return nil, fmt.Errorf("depth-anything-cpp: mkdir %s: %w", dstDir, err)
}
var paths []string
for _, exp := range exports {
switch exp {
case "glb":
out := filepath.Join(dstDir, "pointcloud.glb")
if rc := CapiExportGlb(r.handle, imgPath, out); rc != 0 {
return nil, fmt.Errorf("depth-anything-cpp: da_capi_export_glb failed (rc=%d): %s", rc, r.lastError())
}
paths = append(paths, out)
case "colmap":
out := filepath.Join(dstDir, "colmap")
if err := os.MkdirAll(out, 0o750); err != nil {
return nil, fmt.Errorf("depth-anything-cpp: mkdir %s: %w", out, err)
}
if rc := CapiExportColmap(r.handle, imgPath, out, 1); rc != 0 {
return nil, fmt.Errorf("depth-anything-cpp: da_capi_export_colmap failed (rc=%d): %s", rc, r.lastError())
}
paths = append(paths, out)
default:
return nil, fmt.Errorf("depth-anything-cpp: unknown export %q (want glb|colmap)", exp)
}
}
return paths, nil
}
// copyFloats copies n float32 values from a C heap pointer into a fresh Go
// slice so the C buffer can be freed afterwards.
func copyFloats(p *float32, n int) []float32 {
if p == nil || n <= 0 {
return nil
}
src := unsafe.Slice(p, n)
out := make([]float32, n)
copy(out, src)
return out
}
// copyBytes copies n bytes from a C heap pointer into a fresh Go slice.
func copyBytes(p *byte, n int) []byte {
if p == nil || n <= 0 {
return nil
}
src := unsafe.Slice(p, n)
out := make([]byte, n)
copy(out, src)
return out
}
// runDepthPose runs depth estimation then pose recovery on an image file. It
// returns the row-major depth map (length h*w), its dimensions, the 3x4
// extrinsics (12 floats) and 3x3 intrinsics (9 floats).
// runDepthPose returns depth + camera pose via two C-API calls (depth then pose).
// For a nested metric model both calls run the full two-branch pipeline, so this
// path infers twice; the typed Depth RPC (single da_capi_depth_dense call) is the
// efficient path for nested models.
func (r *DepthAnythingCpp) runDepthPose(imagePath string) (depth []float32, h, w int, ext [12]float32, intr [9]float32, err error) {
if r.handle == 0 {
err = fmt.Errorf("depth-anything-cpp: model not loaded")
return
}
var ch, cw int32
ptr := CapiDepthPath(r.handle, imagePath, &ch, &cw)
if ptr == nil {
err = fmt.Errorf("depth-anything-cpp: da_capi_depth_path failed: %s", r.lastError())
return
}
h, w = int(ch), int(cw)
n := h * w
if n > 0 {
src := unsafe.Slice(ptr, n)
depth = make([]float32, n)
copy(depth, src)
}
CapiFreeFloats(ptr)
if rc := CapiPosePath(r.handle, imagePath, &ext[0], &intr[0]); rc != 0 {
err = fmt.Errorf("depth-anything-cpp: da_capi_pose_path failed (rc=%d): %s", rc, r.lastError())
return
}
return
}
// lastError returns the context's last error string, or "" if none.
func (r *DepthAnythingCpp) lastError() string {
if CapiLastError == nil || r.handle == 0 {
return ""
}
return CapiLastError(r.handle)
}
// materializeImage returns a filesystem path for an image argument that may be
// either an existing path or a base64-encoded payload. When the input is
// base64 it is decoded into a temp file; cleanup removes it (no-op for a path).
func materializeImage(arg string) (path string, cleanup func(), err error) {
cleanup = func() {}
if _, statErr := os.Stat(arg); statErr == nil {
return arg, cleanup, nil
}
// Strip an optional data URL prefix (data:image/...;base64,<payload>).
b64 := arg
if i := indexComma(b64); i >= 0 && hasDataPrefix(b64) {
b64 = b64[i+1:]
}
data, decErr := base64.StdEncoding.DecodeString(b64)
if decErr != nil {
return "", cleanup, fmt.Errorf("image is neither an existing path nor valid base64: %v", decErr)
}
f, tErr := os.CreateTemp("", "depth-anything-*.img")
if tErr != nil {
return "", cleanup, tErr
}
if _, wErr := f.Write(data); wErr != nil {
_ = f.Close()
_ = os.Remove(f.Name())
return "", cleanup, wErr
}
_ = f.Close()
name := f.Name()
return name, func() { _ = os.Remove(name) }, nil
}
func hasDataPrefix(s string) bool {
return len(s) >= 5 && s[:5] == "data:"
}
func indexComma(s string) int {
for i := 0; i < len(s); i++ {
if s[i] == ',' {
return i
}
}
return -1
}
// writeDepthPNG min-max normalises a depth map and writes it as an 8-bit
// grayscale PNG. Near = bright (255), far = dark (0), matching the usual
// depth-map convention for inverse-depth-like outputs.
func writeDepthPNG(dst string, depth []float32, h, w int) error {
if h <= 0 || w <= 0 || len(depth) < h*w {
return fmt.Errorf("depth-anything-cpp: writeDepthPNG: bad dims h=%d w=%d len=%d", h, w, len(depth))
}
dmin, dmax := minMax(depth)
span := dmax - dmin
if span <= 0 || math.IsNaN(float64(span)) {
span = 1
}
img := image.NewGray(image.Rect(0, 0, w, h))
for y := 0; y < h; y++ {
for x := 0; x < w; x++ {
v := depth[y*w+x]
n := (v - dmin) / span // 0..1
if math.IsNaN(float64(n)) {
n = 0
}
if n < 0 {
n = 0
} else if n > 1 {
n = 1
}
img.Pix[y*img.Stride+x] = uint8(n * 255)
}
}
// dst is the gRPC-provided output path chosen by the LocalAI core (the
// intended write destination for the rendered depth map), not
// attacker-controlled input, so the variable path is expected here.
f, err := os.Create(dst) // #nosec G304
if err != nil {
return err
}
defer func() { _ = f.Close() }()
return png.Encode(f, img)
}
func minMax(v []float32) (mn, mx float32) {
if len(v) == 0 {
return 0, 0
}
mn, mx = v[0], v[0]
for _, x := range v {
if math.IsNaN(float64(x)) || math.IsInf(float64(x), 0) {
continue
}
if x < mn {
mn = x
}
if x > mx {
mx = x
}
}
return mn, mx
}

View File

@@ -1,62 +0,0 @@
package main
// main.go - entry point for the depth-anything-cpp gRPC backend.
//
// Dlopens libdepthanythingcpp-<variant>.so via purego at the path in
// DEPTHANYTHING_LIBRARY (set by run.sh based on /proc/cpuinfo), registers the
// da_capi_* C ABI symbols, then starts the gRPC server.
import (
"flag"
"os"
"github.com/ebitengine/purego"
grpc "github.com/mudler/LocalAI/pkg/grpc"
)
var (
addr = flag.String("addr", "localhost:50051", "the address to connect to")
)
type LibFuncs struct {
FuncPtr any
Name string
}
func main() {
// Get library name from environment variable, default to fallback
libName := os.Getenv("DEPTHANYTHING_LIBRARY")
if libName == "" {
libName = "./libdepthanythingcpp-fallback.so"
}
lib, err := purego.Dlopen(libName, purego.RTLD_NOW|purego.RTLD_GLOBAL)
if err != nil {
panic(err)
}
libFuncs := []LibFuncs{
{&CapiLoad, "da_capi_load"},
{&CapiLoadNested, "da_capi_load_nested"},
{&CapiFree, "da_capi_free"},
{&CapiLastError, "da_capi_last_error"},
{&CapiDepthPath, "da_capi_depth_path"},
{&CapiFreeFloats, "da_capi_free_floats"},
{&CapiPosePath, "da_capi_pose_path"},
{&CapiDepthDense, "da_capi_depth_dense"},
{&CapiPoints, "da_capi_points"},
{&CapiFreeBytes, "da_capi_free_bytes"},
{&CapiExportGlb, "da_capi_export_glb"},
{&CapiExportColmap, "da_capi_export_colmap"},
}
for _, lf := range libFuncs {
purego.RegisterLibFunc(lf.FuncPtr, lib, lf.Name)
}
flag.Parse()
if err := grpc.StartServer(*addr, &DepthAnythingCpp{}); err != nil {
panic(err)
}
}

View File

@@ -1,167 +0,0 @@
package main
// main_test.go - end-to-end smoke test for the depth-anything-cpp gRPC backend.
//
// Spawns the compiled depth-anything-cpp binary on a free local port, dials it
// via gRPC, and exercises LoadModel + Predict against the test fixtures
// downloaded by test.sh: the small (vits) f32 GGUF of Depth Anything 3 and a
// real photo. Asserts that Predict returns a JSON payload with a positive
// depth-map width/height.
//
// The spec Skip()s cleanly if its fixtures (the model, the test image, the
// built binary, or the fallback .so) are missing, so the test target stays
// usable on a fresh checkout / on CI runners where the model hasn't been
// downloaded.
import (
"context"
"encoding/base64"
"encoding/json"
"fmt"
"net"
"os"
"os/exec"
"path/filepath"
"testing"
"time"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
"google.golang.org/grpc"
"google.golang.org/grpc/credentials/insecure"
)
func TestDepth(t *testing.T) {
RegisterFailHandler(Fail)
RunSpecs(t, "depth-anything-cpp backend smoke suite")
}
// freePort grabs an ephemeral TCP port and immediately releases it so the
// spawned backend can bind to it. There is a tiny TOCTOU window here but in
// practice it's adequate for a smoke test on a quiet runner.
func freePort() int {
l, err := net.Listen("tcp", "127.0.0.1:0")
Expect(err).ToNot(HaveOccurred(), "freePort listen")
port := l.Addr().(*net.TCPAddr).Port
Expect(l.Close()).To(Succeed())
return port
}
// startBackend spawns the depth-anything-cpp binary on the given port and waits
// until it accepts TCP connections (up to 10s). It mirrors how main.go resolves
// the purego library: the DEPTHANYTHING_LIBRARY env var points the dlopen at the
// freshly built fallback .so. The returned cleanup func kills the process.
func startBackend(port int) func() {
binary, err := filepath.Abs("./depth-anything-cpp")
Expect(err).ToNot(HaveOccurred())
if _, err := os.Stat(binary); err != nil {
Skip(fmt.Sprintf("backend binary not built: %s (run `make depth-anything-cpp` first)", binary))
}
libPath, err := filepath.Abs("./libdepthanythingcpp-fallback.so")
Expect(err).ToNot(HaveOccurred())
if _, err := os.Stat(libPath); err != nil {
Skip(fmt.Sprintf("fallback library not built: %s (run `make libdepthanythingcpp-fallback.so` first)", libPath))
}
addr := fmt.Sprintf("127.0.0.1:%d", port)
cmd := exec.Command(binary, "--addr", addr)
cmd.Env = append(os.Environ(), "DEPTHANYTHING_LIBRARY="+libPath)
cmd.Stdout = os.Stderr
cmd.Stderr = os.Stderr
Expect(cmd.Start()).To(Succeed())
cleanup := func() {
if cmd.Process != nil {
_ = cmd.Process.Kill()
_, _ = cmd.Process.Wait()
}
}
deadline := time.Now().Add(10 * time.Second)
for time.Now().Before(deadline) {
c, err := net.DialTimeout("tcp", addr, 200*time.Millisecond)
if err == nil {
_ = c.Close()
return cleanup
}
time.Sleep(200 * time.Millisecond)
}
cleanup()
Fail(fmt.Sprintf("backend did not become ready on %s within 10s", addr))
return func() {}
}
// loadTestImage reads the test image downloaded by test.sh and returns its
// base64-encoded content (one of the wire formats accepted by Predict).
func loadTestImage() string {
imgPath, err := filepath.Abs("test-data/test.jpg")
Expect(err).ToNot(HaveOccurred())
imgBytes, err := os.ReadFile(imgPath)
if err != nil {
Skip(fmt.Sprintf("test image not present: %s (run test.sh first)", imgPath))
}
return base64.StdEncoding.EncodeToString(imgBytes)
}
// dialBackend opens a gRPC client connection to the spawned backend.
func dialBackend(port int) (pb.BackendClient, func()) {
addr := fmt.Sprintf("127.0.0.1:%d", port)
conn, err := grpc.NewClient(addr, grpc.WithTransportCredentials(insecure.NewCredentials()))
Expect(err).ToNot(HaveOccurred())
return pb.NewBackendClient(conn), func() { _ = conn.Close() }
}
// modelPathOrSkip resolves the model file under ./test-models/ and Skip()s the
// current spec if it's missing (not present on a fresh checkout / on CI runners
// without the download).
func modelPathOrSkip(name string) string {
modelDir, err := filepath.Abs("test-models")
Expect(err).ToNot(HaveOccurred())
modelPath := filepath.Join(modelDir, name)
if _, err := os.Stat(modelPath); err != nil {
Skip(fmt.Sprintf("model not present: %s (run test.sh first)", modelPath))
}
return modelPath
}
var _ = Describe("depth-anything-cpp backend", func() {
It("runs depth+pose against a known-good image", func() {
modelPath := modelPathOrSkip("depth-anything-small-f32.gguf")
imgB64 := loadTestImage()
port := freePort()
cleanup := startBackend(port)
defer cleanup()
client, closeConn := dialBackend(port)
defer closeConn()
ctx, cancel := context.WithTimeout(context.Background(), 20*time.Minute)
defer cancel()
loadResp, err := client.LoadModel(ctx, &pb.ModelOptions{
Model: "depth-anything-small-f32.gguf",
ModelFile: modelPath,
Threads: 4,
})
Expect(err).ToNot(HaveOccurred(), "LoadModel")
Expect(loadResp.GetSuccess()).To(BeTrue(), "LoadModel reported failure: %s", loadResp.GetMessage())
// Predict runs depth+pose and returns the JSON depthResult in Reply.Message.
reply, err := client.Predict(ctx, &pb.PredictOptions{
Images: []string{imgB64},
})
Expect(err).ToNot(HaveOccurred(), "Predict")
var res depthResult
Expect(json.Unmarshal(reply.GetMessage(), &res)).To(Succeed(), "Predict returned non-JSON: %q", string(reply.GetMessage()))
Expect(res.DepthW).To(BeNumerically(">", 0), "depth width should be positive")
Expect(res.DepthH).To(BeNumerically(">", 0), "depth height should be positive")
_, _ = fmt.Fprintf(GinkgoWriter, "depth OK: %dx%d min=%.3f max=%.3f\n",
res.DepthW, res.DepthH, res.DepthMin, res.DepthMax)
})
})

View File

@@ -1,64 +0,0 @@
package main
// nested_e2e_test.go - e2e smoke for the nested two-file metric model. Loads the
// anyview branch as the main model and points the metric branch via the
// "metric_model:<file>" option (exactly as the depth-anything-3-nested gallery
// entry does), then exercises the typed Depth RPC and asserts a metric depth map.
//
// Skips cleanly unless both nested GGUFs are present under ./test-models/ and the
// backend binary + fallback .so are built.
import (
"context"
"fmt"
"path/filepath"
"time"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
var _ = Describe("depth-anything-cpp nested metric model", func() {
It("loads the two-file pair via the metric_model option and returns metric depth", func() {
anyviewPath := modelPathOrSkip("depth-anything-nested-anyview.gguf")
_ = modelPathOrSkip("depth-anything-nested-metric.gguf")
imgB64 := loadTestImage()
port := freePort()
cleanup := startBackend(port)
defer cleanup()
client, closeConn := dialBackend(port)
defer closeConn()
ctx, cancel := context.WithTimeout(context.Background(), 25*time.Minute)
defer cancel()
loadResp, err := client.LoadModel(ctx, &pb.ModelOptions{
Model: "depth-anything-nested-anyview.gguf",
ModelFile: anyviewPath,
ModelPath: filepath.Dir(anyviewPath),
Options: []string{"metric_model:depth-anything-nested-metric.gguf"},
Threads: 8,
})
Expect(err).ToNot(HaveOccurred(), "LoadModel(nested)")
Expect(loadResp.GetSuccess()).To(BeTrue(), "LoadModel reported failure: %s", loadResp.GetMessage())
resp, err := client.Depth(ctx, &pb.DepthRequest{
Src: imgB64,
IncludeDepth: true,
IncludePose: true,
})
Expect(err).ToNot(HaveOccurred(), "Depth(nested)")
Expect(resp.GetWidth()).To(BeNumerically(">", 0), "depth width")
Expect(resp.GetHeight()).To(BeNumerically(">", 0), "depth height")
Expect(resp.GetIsMetric()).To(BeTrue(), "nested output must be metric")
Expect(len(resp.GetDepth())).To(Equal(int(resp.GetWidth())*int(resp.GetHeight())), "dense depth length")
Expect(len(resp.GetExtrinsics())).To(Equal(12), "extrinsics 3x4")
Expect(resp.GetIntrinsics()[0]).To(BeNumerically(">", 0), "fx > 0")
_, _ = fmt.Fprintf(GinkgoWriter, "nested depth OK: %dx%d is_metric=%v fx=%.2f\n",
resp.GetWidth(), resp.GetHeight(), resp.GetIsMetric(), resp.GetIntrinsics()[0])
})
})

View File

@@ -1,20 +0,0 @@
package main
import (
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
var _ = DescribeTable("optionValue",
func(opts []string, key, want string) {
Expect(optionValue(opts, key)).To(Equal(want))
},
Entry("present", []string{"foo:bar", "metric_model:m.gguf"}, "metric_model", "m.gguf"),
Entry("absent", []string{"foo:bar"}, "metric_model", ""),
Entry("nil", []string(nil), "metric_model", ""),
Entry("trims space", []string{"metric_model: m.gguf "}, "metric_model", "m.gguf"),
Entry("value with colon", []string{"metric_model:a:b.gguf"}, "metric_model", "a:b.gguf"),
Entry("first wins", []string{"metric_model:first.gguf", "metric_model:second.gguf"}, "metric_model", "first.gguf"),
Entry("empty value", []string{"metric_model:"}, "metric_model", ""),
Entry("prefix not key", []string{"metric_model_extra:x"}, "metric_model", ""),
)

View File

@@ -1,59 +0,0 @@
#!/bin/bash
# Script to copy the appropriate libraries based on architecture
set -e
CURDIR=$(dirname "$(realpath $0)")
REPO_ROOT="${CURDIR}/../../.."
# Create lib directory
mkdir -p $CURDIR/package/lib
cp -avf $CURDIR/libdepthanythingcpp-*.so $CURDIR/package/
cp -avf $CURDIR/depth-anything-cpp $CURDIR/package/
cp -fv $CURDIR/run.sh $CURDIR/package/
# Detect architecture and copy appropriate libraries
if [ -f "/lib64/ld-linux-x86-64.so.2" ]; then
# x86_64 architecture
echo "Detected x86_64 architecture, copying x86_64 libraries..."
cp -arfLv /lib64/ld-linux-x86-64.so.2 $CURDIR/package/lib/ld.so
cp -arfLv /lib/x86_64-linux-gnu/libc.so.6 $CURDIR/package/lib/libc.so.6
cp -arfLv /lib/x86_64-linux-gnu/libgcc_s.so.1 $CURDIR/package/lib/libgcc_s.so.1
cp -arfLv /lib/x86_64-linux-gnu/libstdc++.so.6 $CURDIR/package/lib/libstdc++.so.6
cp -arfLv /lib/x86_64-linux-gnu/libm.so.6 $CURDIR/package/lib/libm.so.6
cp -arfLv /lib/x86_64-linux-gnu/libgomp.so.1 $CURDIR/package/lib/libgomp.so.1
cp -arfLv /lib/x86_64-linux-gnu/libdl.so.2 $CURDIR/package/lib/libdl.so.2
cp -arfLv /lib/x86_64-linux-gnu/librt.so.1 $CURDIR/package/lib/librt.so.1
cp -arfLv /lib/x86_64-linux-gnu/libpthread.so.0 $CURDIR/package/lib/libpthread.so.0
elif [ -f "/lib/ld-linux-aarch64.so.1" ]; then
# ARM64 architecture
echo "Detected ARM64 architecture, copying ARM64 libraries..."
cp -arfLv /lib/ld-linux-aarch64.so.1 $CURDIR/package/lib/ld.so
cp -arfLv /lib/aarch64-linux-gnu/libc.so.6 $CURDIR/package/lib/libc.so.6
cp -arfLv /lib/aarch64-linux-gnu/libgcc_s.so.1 $CURDIR/package/lib/libgcc_s.so.1
cp -arfLv /lib/aarch64-linux-gnu/libstdc++.so.6 $CURDIR/package/lib/libstdc++.so.6
cp -arfLv /lib/aarch64-linux-gnu/libm.so.6 $CURDIR/package/lib/libm.so.6
cp -arfLv /lib/aarch64-linux-gnu/libgomp.so.1 $CURDIR/package/lib/libgomp.so.1
cp -arfLv /lib/aarch64-linux-gnu/libdl.so.2 $CURDIR/package/lib/libdl.so.2
cp -arfLv /lib/aarch64-linux-gnu/librt.so.1 $CURDIR/package/lib/librt.so.1
cp -arfLv /lib/aarch64-linux-gnu/libpthread.so.0 $CURDIR/package/lib/libpthread.so.0
elif [ $(uname -s) = "Darwin" ]; then
echo "Detected Darwin"
else
echo "Error: Could not detect architecture"
exit 1
fi
# Package GPU libraries based on BUILD_TYPE
GPU_LIB_SCRIPT="${REPO_ROOT}/scripts/build/package-gpu-libs.sh"
if [ -f "$GPU_LIB_SCRIPT" ]; then
echo "Packaging GPU libraries for BUILD_TYPE=${BUILD_TYPE:-cpu}..."
source "$GPU_LIB_SCRIPT" "$CURDIR/package/lib"
package_gpu_libs
fi
echo "Packaging completed successfully"
ls -liah $CURDIR/package/
ls -liah $CURDIR/package/lib/

View File

@@ -1,52 +0,0 @@
#!/bin/bash
set -ex
# Get the absolute current dir where the script is located
CURDIR=$(dirname "$(realpath $0)")
cd /
echo "CPU info:"
if [ "$(uname)" != "Darwin" ]; then
grep -e "model\sname" /proc/cpuinfo | head -1
grep -e "flags" /proc/cpuinfo | head -1
fi
LIBRARY="$CURDIR/libdepthanythingcpp-fallback.so"
if [ "$(uname)" != "Darwin" ]; then
if grep -q -e "\savx\s" /proc/cpuinfo ; then
echo "CPU: AVX found OK"
if [ -e $CURDIR/libdepthanythingcpp-avx.so ]; then
LIBRARY="$CURDIR/libdepthanythingcpp-avx.so"
fi
fi
if grep -q -e "\savx2\s" /proc/cpuinfo ; then
echo "CPU: AVX2 found OK"
if [ -e $CURDIR/libdepthanythingcpp-avx2.so ]; then
LIBRARY="$CURDIR/libdepthanythingcpp-avx2.so"
fi
fi
# Check avx 512
if grep -q -e "\savx512f\s" /proc/cpuinfo ; then
echo "CPU: AVX512F found OK"
if [ -e $CURDIR/libdepthanythingcpp-avx512.so ]; then
LIBRARY="$CURDIR/libdepthanythingcpp-avx512.so"
fi
fi
fi
export LD_LIBRARY_PATH=$CURDIR/lib:$LD_LIBRARY_PATH
export DEPTHANYTHING_LIBRARY=$LIBRARY
# If there is a lib/ld.so, use it
if [ -f $CURDIR/lib/ld.so ]; then
echo "Using lib/ld.so"
echo "Using library: $LIBRARY"
exec $CURDIR/lib/ld.so $CURDIR/depth-anything-cpp "$@"
fi
echo "Using library: $LIBRARY"
exec $CURDIR/depth-anything-cpp "$@"

View File

@@ -1,45 +0,0 @@
#!/bin/bash
set -e
CURDIR=$(dirname "$(realpath $0)")
echo "Running depth-anything-cpp backend tests..."
# Test model from the mudler/depth-anything.cpp-gguf HuggingFace repo. The small
# (vits) f32 GGUF is the lightest backbone (~131 MB), so it keeps the download
# cheap. It is resumed with `curl -C -` and skipped entirely if already present.
DEPTHANYTHING_MODEL_DIR="${DEPTHANYTHING_MODEL_DIR:-$CURDIR/test-models}"
DEPTHANYTHING_MODEL_FILE="${DEPTHANYTHING_MODEL_FILE:-depth-anything-small-f32.gguf}"
DEPTHANYTHING_MODEL_URL="${DEPTHANYTHING_MODEL_URL:-https://huggingface.co/mudler/depth-anything.cpp-gguf/resolve/main/depth-anything-small-f32.gguf}"
mkdir -p "$DEPTHANYTHING_MODEL_DIR"
if [ ! -f "$DEPTHANYTHING_MODEL_DIR/$DEPTHANYTHING_MODEL_FILE" ]; then
echo "Downloading depth-anything small f32 model (~131 MB)..."
# -C - resumes a partial download so an interrupted run doesn't restart from 0.
curl -L -C - -o "$DEPTHANYTHING_MODEL_DIR/$DEPTHANYTHING_MODEL_FILE" "$DEPTHANYTHING_MODEL_URL" --progress-bar
fi
# Use a real photo (people + cars) from the upstream rf-detr.cpp repo (~46 KB).
# Depth estimation needs real content; a synthetic image would be degenerate.
TEST_IMAGE_DIR="$CURDIR/test-data"
TEST_IMAGE_FILE="$TEST_IMAGE_DIR/test.jpg"
TEST_IMAGE_URL="${TEST_IMAGE_URL:-https://raw.githubusercontent.com/mudler/rf-detr.cpp/main/tests/fixtures/ci/test_image.jpg}"
mkdir -p "$TEST_IMAGE_DIR"
if [ ! -f "$TEST_IMAGE_FILE" ]; then
echo "Downloading test image..."
curl -L -o "$TEST_IMAGE_FILE" "$TEST_IMAGE_URL" --progress-bar
fi
echo "depth-anything-cpp test setup complete."
echo " model: $DEPTHANYTHING_MODEL_DIR/$DEPTHANYTHING_MODEL_FILE"
echo " test image: $TEST_IMAGE_FILE"
# Run the Go smoke test: spawns the backend binary on a free port, calls
# LoadModel + Predict via gRPC against the downloaded GGUF + image.
echo ""
echo "Running Go smoke test..."
cd "$CURDIR"
go test -v -timeout 30m ./...

View File

@@ -9,7 +9,7 @@ JOBS?=$(shell nproc --ignore=1)
# LocalVQE upstream version pin. Bump to a specific commit when picking up
# a new release; `main` works for development but is not reproducible.
LOCALVQE_REPO?=https://github.com/localai-org/LocalVQE
LOCALVQE_VERSION?=b0f0378a450e87c871b85689554801601ca56d98
LOCALVQE_VERSION?=72bfb4c6
# LocalVQE handles CPU feature selection internally (it ships the multiple
# libggml-cpu-*.so variants and its loader picks the best one at runtime
@@ -27,8 +27,7 @@ endif
# LocalVQE upstream supports CPU + Vulkan only. Other BUILD_TYPE values
# fall through to the default CPU build — Vulkan is already as fast as the
# specialised GPU paths would be on these small (1.3 M4.8 M parameter)
# models.
# specialised GPU paths would be on this 1.3 M-parameter model.
ifeq ($(BUILD_TYPE),vulkan)
CMAKE_ARGS+=-DGGML_VULKAN=ON -DLOCALVQE_VULKAN=ON
else ifeq ($(OS),Darwin)

View File

@@ -3,6 +3,7 @@ package main
import (
"encoding/binary"
"fmt"
"io"
"os"
"path/filepath"
"runtime"
@@ -10,7 +11,6 @@ import (
"strings"
"unsafe"
"github.com/go-audio/wav"
"github.com/mudler/LocalAI/pkg/grpc/base"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
"github.com/mudler/xlog"
@@ -46,24 +46,24 @@ const (
// through the options builder (CppOptionsNew + setters + CppNewWithOptions)
// — the bare localvqe_new path doesn't expose backend / device selection.
var (
CppOptionsNew func() uintptr
CppOptionsFree func(opts uintptr)
CppOptionsSetModelPath func(opts uintptr, modelPath string) int32
CppOptionsSetBackend func(opts uintptr, backend string) int32
CppOptionsSetDevice func(opts uintptr, device int32) int32
CppNewWithOptions func(opts uintptr) uintptr
CppFree func(ctx uintptr)
CppProcessF32 func(ctx uintptr, mic, ref uintptr, nSamples int32, out uintptr) int32
CppProcessS16 func(ctx uintptr, mic, ref uintptr, nSamples int32, out uintptr) int32
CppProcessFrameF32 func(ctx uintptr, mic, ref uintptr, hopSamples int32, out uintptr) int32
CppProcessFrameS16 func(ctx uintptr, mic, ref uintptr, hopSamples int32, out uintptr) int32
CppReset func(ctx uintptr)
CppLastError func(ctx uintptr) string
CppSampleRate func(ctx uintptr) int32
CppHopLength func(ctx uintptr) int32
CppFFTSize func(ctx uintptr) int32
CppSetNoiseGate func(ctx uintptr, enabled int32, thresholdDBFS float32) int32
CppGetNoiseGate func(ctx uintptr, enabledOut, thresholdDBFSOut uintptr) int32
CppOptionsNew func() uintptr
CppOptionsFree func(opts uintptr)
CppOptionsSetModelPath func(opts uintptr, modelPath string) int32
CppOptionsSetBackend func(opts uintptr, backend string) int32
CppOptionsSetDevice func(opts uintptr, device int32) int32
CppNewWithOptions func(opts uintptr) uintptr
CppFree func(ctx uintptr)
CppProcessF32 func(ctx uintptr, mic, ref uintptr, nSamples int32, out uintptr) int32
CppProcessS16 func(ctx uintptr, mic, ref uintptr, nSamples int32, out uintptr) int32
CppProcessFrameF32 func(ctx uintptr, mic, ref uintptr, hopSamples int32, out uintptr) int32
CppProcessFrameS16 func(ctx uintptr, mic, ref uintptr, hopSamples int32, out uintptr) int32
CppReset func(ctx uintptr)
CppLastError func(ctx uintptr) string
CppSampleRate func(ctx uintptr) int32
CppHopLength func(ctx uintptr) int32
CppFFTSize func(ctx uintptr) int32
CppSetNoiseGate func(ctx uintptr, enabled int32, thresholdDBFS float32) int32
CppGetNoiseGate func(ctx uintptr, enabledOut, thresholdDBFSOut uintptr) int32
)
// LocalVQE speaks gRPC against LocalVQE's flat C ABI. The streaming
@@ -490,14 +490,11 @@ func (v *LocalVQE) applyStreamConfig(cfg *pb.AudioTransformStreamConfig) error {
// ---- WAV I/O ----------------------------------------------------------
//
// Reader/writer for the mono 16-bit PCM shape LocalVQE works with. Decoding
// goes through the shared go-audio/wav decoder (as the whisper and parakeet
// backends do) so RIFF chunk walking is handled robustly — an 18/40-byte
// extensible `fmt ` chunk, or JUNK/bext/LIST metadata before or after `data`
// (e.g. ffmpeg's trailing "Lavf" tag), is skipped rather than spliced into
// the PCM stream as an audible click. The HTTP layer normalises arbitrary
// input to WAV before we see it, but that WAV is ffmpeg output and is not
// guaranteed to be the canonical 44-byte layout.
// Minimal mono PCM WAV reader/writer. Only handles the subset LocalVQE
// cares about (mono, 16-bit signed, no extensible chunks). For broader
// audio support the HTTP layer's `audio.NormalizeAudioFile` already
// converts arbitrary input to a canonical WAV before we see it; this
// reader just decodes the canonical shape.
func readMonoWAVf32(path string) ([]float32, int, error) {
f, err := os.Open(path)
@@ -505,26 +502,35 @@ func readMonoWAVf32(path string) ([]float32, int, error) {
return nil, 0, err
}
defer func() { _ = f.Close() }()
buf, err := wav.NewDecoder(f).FullPCMBuffer()
if err != nil {
return nil, 0, fmt.Errorf("decode WAV: %w", err)
header := make([]byte, 44)
if _, err := io.ReadFull(f, header); err != nil {
return nil, 0, err
}
if buf == nil || buf.Format == nil {
if string(header[0:4]) != "RIFF" || string(header[8:12]) != "WAVE" {
return nil, 0, fmt.Errorf("not a WAV file")
}
if buf.Format.NumChannels != 1 {
return nil, 0, fmt.Errorf("only mono WAV supported (got %d channels)", buf.Format.NumChannels)
channels := binary.LittleEndian.Uint16(header[22:24])
sampleRate := binary.LittleEndian.Uint32(header[24:28])
bitsPerSample := binary.LittleEndian.Uint16(header[34:36])
if channels != 1 {
return nil, 0, fmt.Errorf("only mono WAV supported (got %d channels)", channels)
}
if buf.SourceBitDepth != 16 {
return nil, 0, fmt.Errorf("only 16-bit PCM supported (got %d bits)", buf.SourceBitDepth)
if bitsPerSample != 16 {
return nil, 0, fmt.Errorf("only 16-bit PCM supported (got %d bits)", bitsPerSample)
}
if len(buf.Data) == 0 {
return nil, 0, fmt.Errorf("WAV has no audio data")
rest, err := io.ReadAll(f)
if err != nil {
return nil, 0, err
}
// AsFloat32Buffer normalises by 2^(bitDepth-1) == /32768 for 16-bit,
// matching the model's expected [-1, 1) input range.
return buf.AsFloat32Buffer().Data, buf.Format.SampleRate, nil
n := len(rest) / 2
out := make([]float32, n)
for i := 0; i < n; i++ {
s := int16(binary.LittleEndian.Uint16(rest[i*2 : i*2+2]))
out[i] = float32(s) / 32768.0
}
return out, int(sampleRate), nil
}
func writeMonoWAVf32(path string, samples []float32, sampleRate int) error {
@@ -540,13 +546,13 @@ func writeMonoWAVf32(path string, samples []float32, sampleRate int) error {
binary.LittleEndian.PutUint32(header[4:8], 36+dataLen)
copy(header[8:12], []byte("WAVE"))
copy(header[12:16], []byte("fmt "))
binary.LittleEndian.PutUint32(header[16:20], 16) // fmt chunk size
binary.LittleEndian.PutUint16(header[20:22], 1) // PCM
binary.LittleEndian.PutUint16(header[22:24], 1) // mono
binary.LittleEndian.PutUint32(header[16:20], 16) // fmt chunk size
binary.LittleEndian.PutUint16(header[20:22], 1) // PCM
binary.LittleEndian.PutUint16(header[22:24], 1) // mono
binary.LittleEndian.PutUint32(header[24:28], uint32(sampleRate))
binary.LittleEndian.PutUint32(header[28:32], uint32(sampleRate*2)) // byte rate
binary.LittleEndian.PutUint16(header[32:34], 2) // block align
binary.LittleEndian.PutUint16(header[34:36], 16) // bits per sample
binary.LittleEndian.PutUint16(header[32:34], 2) // block align
binary.LittleEndian.PutUint16(header[34:36], 16) // bits per sample
copy(header[36:40], []byte("data"))
binary.LittleEndian.PutUint32(header[40:44], dataLen)
if _, err := f.Write(header); err != nil {

View File

@@ -1,9 +1,7 @@
package main
import (
"encoding/binary"
"os"
"path/filepath"
"testing"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
@@ -94,147 +92,6 @@ var _ = Describe("LocalVQE-cpp", func() {
})
})
Context("readMonoWAVf32 chunk parsing", func() {
// chunk builds a word-aligned RIFF sub-chunk (id + size + body + pad).
chunk := func(id string, body []byte) []byte {
out := append([]byte(id), 0, 0, 0, 0)
binary.LittleEndian.PutUint32(out[4:8], uint32(len(body)))
out = append(out, body...)
if len(body)&1 == 1 {
out = append(out, 0) // pad byte for odd-sized chunks
}
return out
}
// fmtBody returns a PCM `fmt ` chunk body. extra bytes simulate the
// 18/40-byte extensible form (cbSize + extension).
fmtBody := func(channels, bits uint16, rate uint32, extra int) []byte {
b := make([]byte, 16+extra)
binary.LittleEndian.PutUint16(b[0:2], 1) // PCM
binary.LittleEndian.PutUint16(b[2:4], channels)
binary.LittleEndian.PutUint32(b[4:8], rate)
binary.LittleEndian.PutUint32(b[8:12], rate*uint32(channels)*uint32(bits)/8)
binary.LittleEndian.PutUint16(b[12:14], channels*bits/8)
binary.LittleEndian.PutUint16(b[14:16], bits)
if extra >= 2 {
binary.LittleEndian.PutUint16(b[16:18], uint16(extra-2)) // cbSize
}
return b
}
// pcm encodes int16 samples little-endian.
pcm := func(samples ...int16) []byte {
b := make([]byte, len(samples)*2)
for i, s := range samples {
binary.LittleEndian.PutUint16(b[i*2:i*2+2], uint16(s))
}
return b
}
riff := func(chunks ...[]byte) []byte {
body := []byte("WAVE")
for _, c := range chunks {
body = append(body, c...)
}
out := append([]byte("RIFF"), 0, 0, 0, 0)
binary.LittleEndian.PutUint32(out[4:8], uint32(len(body)))
return append(out, body...)
}
writeWAV := func(b []byte) string {
p := filepath.Join(GinkgoT().TempDir(), "in.wav")
Expect(os.WriteFile(p, b, 0o600)).To(Succeed())
return p
}
// A canonical sample run with distinct values so any off-by-one /
// misalignment shows up as wrong numbers, not just wrong length.
samples := []int16{1000, -2000, 3000, -4000, 5000, -6000}
expectSamples := func(got []float32) {
Expect(got).To(HaveLen(len(samples)))
for i, s := range samples {
Expect(got[i]).To(BeNumerically("~", float32(s)/32768.0, 1e-6))
}
}
It("reads a canonical 44-byte WAV", func() {
p := writeWAV(riff(chunk("fmt ", fmtBody(1, 16, 16000, 0)), chunk("data", pcm(samples...))))
out, sr, err := readMonoWAVf32(p)
Expect(err).ToNot(HaveOccurred())
Expect(sr).To(Equal(16000))
expectSamples(out)
})
It("ignores a LIST/JUNK chunk placed before data (no leading-impulse splice)", func() {
p := writeWAV(riff(
chunk("fmt ", fmtBody(1, 16, 16000, 0)),
chunk("JUNK", []byte("padding-bytes-here!")), // odd length → exercises pad
chunk("LIST", []byte("INFOISFTLavf60.0")),
chunk("data", pcm(samples...)),
))
out, sr, err := readMonoWAVf32(p)
Expect(err).ToNot(HaveOccurred())
Expect(sr).To(Equal(16000))
expectSamples(out) // not corrupted by the preceding chunks
})
It("honours the data chunk size and drops a trailing metadata chunk", func() {
p := writeWAV(riff(
chunk("fmt ", fmtBody(1, 16, 16000, 0)),
chunk("data", pcm(samples...)),
chunk("LIST", []byte("INFOISFTLavf60.16.100")), // ffmpeg trailer tag
))
out, _, err := readMonoWAVf32(p)
Expect(err).ToNot(HaveOccurred())
expectSamples(out) // trailing LIST bytes not decoded as PCM
})
It("handles the 18-byte extensible fmt chunk", func() {
p := writeWAV(riff(chunk("fmt ", fmtBody(1, 16, 16000, 2)), chunk("data", pcm(samples...))))
out, sr, err := readMonoWAVf32(p)
Expect(err).ToNot(HaveOccurred())
Expect(sr).To(Equal(16000))
expectSamples(out)
})
It("rejects non-mono input", func() {
p := writeWAV(riff(chunk("fmt ", fmtBody(2, 16, 16000, 0)), chunk("data", pcm(samples...))))
_, _, err := readMonoWAVf32(p)
Expect(err).To(HaveOccurred())
Expect(err.Error()).To(ContainSubstring("mono"))
})
It("rejects non-16-bit input", func() {
p := writeWAV(riff(chunk("fmt ", fmtBody(1, 8, 16000, 0)), chunk("data", pcm(samples...))))
_, _, err := readMonoWAVf32(p)
Expect(err).To(HaveOccurred())
Expect(err.Error()).To(ContainSubstring("16-bit"))
})
It("rejects a non-WAV file", func() {
p := writeWAV([]byte("not a riff file at all"))
_, _, err := readMonoWAVf32(p)
Expect(err).To(HaveOccurred())
})
It("errors when the data chunk is missing", func() {
// fmt but no data: the decoder must fail rather than return an
// empty (or garbage) sample slice. The exact message is the
// decoder's, so just assert it errors.
p := writeWAV(riff(chunk("fmt ", fmtBody(1, 16, 16000, 0))))
_, _, err := readMonoWAVf32(p)
Expect(err).To(HaveOccurred())
})
It("round-trips through writeMonoWAVf32", func() {
p := filepath.Join(GinkgoT().TempDir(), "rt.wav")
in := []float32{0.1, -0.2, 0.3, -0.4}
Expect(writeMonoWAVf32(p, in, 16000)).To(Succeed())
out, sr, err := readMonoWAVf32(p)
Expect(err).ToNot(HaveOccurred())
Expect(sr).To(Equal(16000))
Expect(out).To(HaveLen(len(in)))
for i := range in {
Expect(out[i]).To(BeNumerically("~", in[i], 1e-4))
}
})
})
Context("model-gated integration (LOCALVQE_MODEL_PATH)", func() {
It("load + sample rate + hop + fft", func() {
path := modelPathOrSkip()

View File

@@ -1,7 +0,0 @@
sources/
build*/
package/
liblocateanythingcpp*.so
locate-anything-cpp
test-models/
test-data/

View File

@@ -1,57 +0,0 @@
cmake_minimum_required(VERSION 3.18)
project(liblocateanythingcpp LANGUAGES C CXX)
set(CMAKE_POSITION_INDEPENDENT_CODE ON)
set(CMAKE_CXX_STANDARD 17)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
# Static-link ggml + locate_anything so the resulting .so has no runtime
# dependency on extra ggml/locate_anything shared libraries — only on
# libc/libstdc++/libgomp, which the LocalAI package step bundles into the
# docker image.
set(BUILD_SHARED_LIBS OFF CACHE BOOL "Build static libraries" FORCE)
# locate-anything.cpp build switches: skip CLI/tests, keep static lib.
set(LA_BUILD_CLI OFF CACHE BOOL "Disable locate-anything CLI" FORCE)
set(LA_BUILD_TESTS OFF CACHE BOOL "Disable locate-anything tests" FORCE)
set(LA_SHARED OFF CACHE BOOL "Build locate_anything as static lib" FORCE)
# Unlike rt-detr.cpp, locate-anything.cpp ships no in-tree ggml patches, so
# there is no apply_ggml_patches.sh hook to shim here.
add_subdirectory(./sources/locate-anything.cpp)
# locate-anything.cpp's top-level CMakeLists points its own target's include
# dirs at ${CMAKE_SOURCE_DIR}/{include,src,third_party,...}. CMAKE_SOURCE_DIR
# is the *top-level* source dir of the whole CMake tree, so when we pull it in
# via add_subdirectory it resolves to OUR directory, not theirs, and the
# locate_anything target fails to find its own headers (la_capi.h, stb_image.h,
# la_gguf_keys.h). Re-add the correct, subdir-relative include paths to the
# already-defined target so it compiles regardless of where it's nested.
set(LA_SRC ${CMAKE_CURRENT_SOURCE_DIR}/sources/locate-anything.cpp)
target_include_directories(locate_anything PRIVATE
${LA_SRC}/include
${LA_SRC}/src
${LA_SRC}/third_party
${LA_SRC}/third_party/stb)
# locate-anything.cpp's C-API symbols already live inside liblocate_anything
# (src/la_capi.cpp is compiled into the lib). We re-export them via a MODULE
# library that links locate_anything so the symbols are visible at dlopen time.
add_library(locateanythingcpp MODULE
sources/locate-anything.cpp/src/la_capi.cpp)
target_include_directories(locateanythingcpp PRIVATE
sources/locate-anything.cpp/include
sources/locate-anything.cpp/src
sources/locate-anything.cpp/third_party
sources/locate-anything.cpp/third_party/stb
)
target_link_libraries(locateanythingcpp PRIVATE locate_anything ggml)
if(CMAKE_CXX_COMPILER_ID MATCHES "GNU" AND CMAKE_CXX_COMPILER_VERSION VERSION_LESS 9.0)
target_link_libraries(locateanythingcpp PRIVATE stdc++fs)
endif()
set_property(TARGET locateanythingcpp PROPERTY CXX_STANDARD 17)
set_target_properties(locateanythingcpp PROPERTIES LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR})

View File

@@ -1,134 +0,0 @@
CMAKE_ARGS?=
BUILD_TYPE?=
NATIVE?=false
GOCMD?=go
GO_TAGS?=
JOBS?=$(shell nproc --ignore=1)
# locate-anything.cpp. Pin to a specific commit for a stable build; leaving
# this on `master` always picks up the latest C-API surface (incl. the
# per-detection accessor functions used by golocateanythingcpp.go).
LOCATEANYTHING_REPO?=https://github.com/mudler/locate-anything.cpp.git
LOCATEANYTHING_VERSION?=92c1682da792c1e8a5dec91acc2be4b02c742ded
ifeq ($(NATIVE),false)
CMAKE_ARGS+=-DGGML_NATIVE=OFF
endif
# Forward LocalAI's BUILD_TYPE to the matching ggml backend switch.
ifeq ($(BUILD_TYPE),cublas)
CMAKE_ARGS+=-DGGML_CUDA=ON -DLA_GGML_CUDA=ON
else ifeq ($(BUILD_TYPE),openblas)
CMAKE_ARGS+=-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
else ifeq ($(BUILD_TYPE),clblas)
CMAKE_ARGS+=-DGGML_CLBLAST=ON
else ifeq ($(BUILD_TYPE),hipblas)
ROCM_HOME ?= /opt/rocm
ROCM_PATH ?= /opt/rocm
export CXX=$(ROCM_HOME)/llvm/bin/clang++
export CC=$(ROCM_HOME)/llvm/bin/clang
AMDGPU_TARGETS?=gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1200,gfx1201
CMAKE_ARGS+=-DGGML_HIPBLAS=ON -DAMDGPU_TARGETS=$(AMDGPU_TARGETS)
else ifeq ($(BUILD_TYPE),vulkan)
CMAKE_ARGS+=-DGGML_VULKAN=ON -DLA_GGML_VULKAN=ON
else ifeq ($(OS),Darwin)
ifneq ($(BUILD_TYPE),metal)
CMAKE_ARGS+=-DGGML_METAL=OFF
else
CMAKE_ARGS+=-DGGML_METAL=ON
CMAKE_ARGS+=-DGGML_METAL_EMBED_LIBRARY=ON
CMAKE_ARGS+=-DLA_GGML_METAL=ON
endif
endif
ifeq ($(BUILD_TYPE),sycl_f16)
CMAKE_ARGS+=-DGGML_SYCL=ON \
-DCMAKE_C_COMPILER=icx \
-DCMAKE_CXX_COMPILER=icpx \
-DGGML_SYCL_F16=ON
endif
ifeq ($(BUILD_TYPE),sycl_f32)
CMAKE_ARGS+=-DGGML_SYCL=ON \
-DCMAKE_C_COMPILER=icx \
-DCMAKE_CXX_COMPILER=icpx
endif
sources/locate-anything.cpp:
mkdir -p sources && \
git clone --recursive $(LOCATEANYTHING_REPO) sources/locate-anything.cpp && \
cd sources/locate-anything.cpp && \
git checkout $(LOCATEANYTHING_VERSION) && \
git submodule update --init --recursive --depth 1 --single-branch
# Detect OS
UNAME_S := $(shell uname -s)
# Only build CPU variants on Linux
ifeq ($(UNAME_S),Linux)
VARIANT_TARGETS = liblocateanythingcpp-avx.so liblocateanythingcpp-avx2.so liblocateanythingcpp-avx512.so liblocateanythingcpp-fallback.so
else
# On non-Linux (e.g., Darwin), build only fallback variant
VARIANT_TARGETS = liblocateanythingcpp-fallback.so
endif
locate-anything-cpp: main.go golocateanythingcpp.go $(VARIANT_TARGETS)
CGO_ENABLED=0 $(GOCMD) build -tags "$(GO_TAGS)" -o locate-anything-cpp ./
package: locate-anything-cpp
bash package.sh
build: package
clean: purge
rm -rf liblocateanythingcpp*.so locate-anything-cpp package sources
purge:
rm -rf build*
# Build all variants (Linux only)
ifeq ($(UNAME_S),Linux)
liblocateanythingcpp-avx.so: sources/locate-anything.cpp
rm -rfv build-$@
$(info ${GREEN}I locate-anything-cpp build info:avx${RESET})
SO_TARGET=$@ CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) liblocateanythingcpp-custom
rm -rfv build-$@
liblocateanythingcpp-avx2.so: sources/locate-anything.cpp
rm -rfv build-$@
$(info ${GREEN}I locate-anything-cpp build info:avx2${RESET})
SO_TARGET=$@ CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=off -DGGML_FMA=on -DGGML_F16C=on -DGGML_BMI2=on" $(MAKE) liblocateanythingcpp-custom
rm -rfv build-$@
liblocateanythingcpp-avx512.so: sources/locate-anything.cpp
rm -rfv build-$@
$(info ${GREEN}I locate-anything-cpp build info:avx512${RESET})
SO_TARGET=$@ CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=on -DGGML_FMA=on -DGGML_F16C=on -DGGML_BMI2=on" $(MAKE) liblocateanythingcpp-custom
rm -rfv build-$@
endif
# Build fallback variant (all platforms)
liblocateanythingcpp-fallback.so: sources/locate-anything.cpp
rm -rfv build-$@
$(info ${GREEN}I locate-anything-cpp build info:fallback${RESET})
SO_TARGET=$@ CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) liblocateanythingcpp-custom
rm -rfv build-$@
liblocateanythingcpp-custom: CMakeLists.txt
mkdir -p build-$(SO_TARGET) && \
cd build-$(SO_TARGET) && \
cmake .. $(CMAKE_ARGS) && \
cmake --build . --config Release -j$(JOBS) && \
cd .. && \
mv build-$(SO_TARGET)/liblocateanythingcpp.so ./$(SO_TARGET)
all: locate-anything-cpp package
# `test` is invoked by the top-level Makefile's `test-extra` target. It builds
# the backend binary + the fallback shared library (needed for dlopen at
# runtime), then runs test.sh which downloads the q8_0 GGUF + COCO image and
# exercises the gRPC Load/Detect wire path via the Go smoke test in
# main_test.go.
test: locate-anything-cpp liblocateanythingcpp-fallback.so
bash test.sh

View File

@@ -1,174 +0,0 @@
package main
// golocateanythingcpp.go - gRPC handlers (Load, Detect) for the
// locate-anything-cpp backend.
//
// Embeds base.SingleThread to default unimplemented RPCs to "not supported"
// while we only implement open-vocabulary object detection (Detect).
import (
"encoding/base64"
"fmt"
"os"
"path/filepath"
"unsafe"
"github.com/mudler/LocalAI/pkg/grpc/base"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
)
// la_ctx* is an opaque handle. la_capi_load returns it directly (0 == failure),
// unlike rfdetr's out-parameter convention.
var (
// la_capi_load(const char* gguf_path, int n_threads) -> la_ctx* (0 = fail)
CapiLoad func(gguf string, nThreads int32) uintptr
// la_capi_free(la_ctx* ctx)
CapiFree func(handle uintptr)
// la_capi_locate_path(ctx, image_path, prompt, mode) -> char* json (0 = err)
CapiLocatePath func(handle uintptr, imagePath string, prompt string, mode int32) uintptr
// la_capi_locate_buffer(ctx, bytes, len, prompt, mode) -> char* json (0 = err)
CapiLocateBuffer func(handle uintptr, bytes uintptr, length uintptr, prompt string, mode int32) uintptr
// la_capi_get_n_detections(ctx) -> int
CapiGetNDetections func(handle uintptr) int32
// la_capi_get_detection_box(ctx, i, out_xyxy[4]) -> int (0 on success)
CapiGetDetectionBox func(handle uintptr, i int32, outXYXY uintptr) int32
// la_capi_get_detection_label(ctx, i, buf, buf_size) -> int (required size incl NUL; two-call sizing)
CapiGetDetectionLabel func(handle uintptr, i int32, buf uintptr, bufSize int32) int32
// la_capi_free_string(char* s)
CapiFreeString func(s uintptr)
// la_capi_last_error(ctx) -> const char* (owned by ctx, "" if none / null ctx).
// purego marshals the returned C string into a Go string (a copy), so we
// never free it and avoid raw pointer arithmetic.
CapiLastError func(handle uintptr) string
)
type LocateAnythingCpp struct {
base.SingleThread
handle uintptr
}
// Load loads the GGUF model at opts.ModelFile (joined with opts.ModelPath if
// relative) and stores the la_ctx handle for later Detect calls.
func (r *LocateAnythingCpp) Load(opts *pb.ModelOptions) error {
modelFile := opts.ModelFile
if modelFile == "" {
modelFile = opts.Model
}
if modelFile == "" {
return fmt.Errorf("locate-anything-cpp: ModelFile is empty")
}
var modelPath string
if filepath.IsAbs(modelFile) {
modelPath = modelFile
} else {
modelPath = filepath.Join(opts.ModelPath, modelFile)
}
if _, err := os.Stat(modelPath); err != nil {
return fmt.Errorf("locate-anything-cpp: model file not found: %s: %w", modelPath, err)
}
threads := opts.Threads
if threads <= 0 {
threads = 4
}
// Release previous model if any (re-Load).
if r.handle != 0 {
CapiFree(r.handle)
r.handle = 0
}
h := CapiLoad(modelPath, threads)
if h == 0 {
// la_capi_last_error needs a ctx; on a failed load we have none (it
// returns "" for a null ctx), so the text is best-effort. Surface it
// when present.
if msg := CapiLastError(0); msg != "" {
return fmt.Errorf("locate-anything-cpp: la_capi_load failed for %s: %s", modelPath, msg)
}
return fmt.Errorf("locate-anything-cpp: la_capi_load failed for %s", modelPath)
}
r.handle = h
return nil
}
// Detect runs open-vocabulary detection on the base64-encoded image in opts.Src
// using the required text prompt in opts.Prompt, returning one pb.Detection per
// located object with its predicted label as ClassName.
func (r *LocateAnythingCpp) Detect(opts *pb.DetectOptions) (pb.DetectResponse, error) {
if r.handle == 0 {
return pb.DetectResponse{}, fmt.Errorf("locate-anything-cpp: model not loaded")
}
// Open-vocabulary detection is prompt-driven; without a prompt there is
// nothing to locate.
prompt := opts.Prompt
if prompt == "" {
return pb.DetectResponse{}, fmt.Errorf("locate-anything-cpp: a text prompt is required (open-vocabulary detection)")
}
// Decode base64 image and write to temp file.
imgData, err := base64.StdEncoding.DecodeString(opts.Src)
if err != nil {
return pb.DetectResponse{}, fmt.Errorf("locate-anything-cpp: failed to decode base64 image: %w", err)
}
tmpFile, err := os.CreateTemp("", "locate-anything-*.img")
if err != nil {
return pb.DetectResponse{}, fmt.Errorf("locate-anything-cpp: failed to create temp file: %w", err)
}
defer func() { _ = os.Remove(tmpFile.Name()) }()
if _, err := tmpFile.Write(imgData); err != nil {
_ = tmpFile.Close()
return pb.DetectResponse{}, fmt.Errorf("locate-anything-cpp: failed to write temp file: %w", err)
}
if err := tmpFile.Close(); err != nil {
return pb.DetectResponse{}, fmt.Errorf("locate-anything-cpp: failed to close temp file: %w", err)
}
// mode 0 = hybrid (Parallel Box Decoding). The JSON return value is unused:
// structured detections are read via the accessor functions. Still must
// free the returned string.
jsonPtr := CapiLocatePath(r.handle, tmpFile.Name(), prompt, 0)
if jsonPtr != 0 {
CapiFreeString(jsonPtr)
}
n := CapiGetNDetections(r.handle)
if n < 0 {
return pb.DetectResponse{}, fmt.Errorf("locate-anything-cpp: invalid n_detections=%d", n)
}
detections := make([]*pb.Detection, 0, n)
for i := int32(0); i < n; i++ {
var xyxy [4]float32 // x1, y1, x2, y2
if CapiGetDetectionBox(r.handle, i, uintptr(unsafe.Pointer(&xyxy[0]))) != 0 {
continue
}
// Two-call sizing for the label string.
label := ""
need := CapiGetDetectionLabel(r.handle, i, 0, 0)
if need > 0 {
buf := make([]byte, need)
CapiGetDetectionLabel(r.handle, i, uintptr(unsafe.Pointer(&buf[0])), need)
label = string(buf[:need-1])
}
detections = append(detections, &pb.Detection{
X: xyxy[0],
Y: xyxy[1],
Width: xyxy[2] - xyxy[0],
Height: xyxy[3] - xyxy[1],
Confidence: 1.0,
ClassName: label,
})
}
return pb.DetectResponse{
Detections: detections,
}, nil
}

View File

@@ -1,59 +0,0 @@
package main
// main.go - entry point for the locate-anything-cpp gRPC backend.
//
// Dlopens liblocateanythingcpp-<variant>.so via purego at the path in
// LOCATEANYTHING_LIBRARY (set by run.sh based on /proc/cpuinfo), registers
// the la_capi_* C ABI symbols, then starts the gRPC server.
import (
"flag"
"os"
"github.com/ebitengine/purego"
grpc "github.com/mudler/LocalAI/pkg/grpc"
)
var (
addr = flag.String("addr", "localhost:50051", "the address to connect to")
)
type LibFuncs struct {
FuncPtr any
Name string
}
func main() {
// Get library name from environment variable, default to fallback
libName := os.Getenv("LOCATEANYTHING_LIBRARY")
if libName == "" {
libName = "./liblocateanythingcpp-fallback.so"
}
lib, err := purego.Dlopen(libName, purego.RTLD_NOW|purego.RTLD_GLOBAL)
if err != nil {
panic(err)
}
libFuncs := []LibFuncs{
{&CapiLoad, "la_capi_load"},
{&CapiFree, "la_capi_free"},
{&CapiLocatePath, "la_capi_locate_path"},
{&CapiLocateBuffer, "la_capi_locate_buffer"},
{&CapiGetNDetections, "la_capi_get_n_detections"},
{&CapiGetDetectionBox, "la_capi_get_detection_box"},
{&CapiGetDetectionLabel, "la_capi_get_detection_label"},
{&CapiFreeString, "la_capi_free_string"},
{&CapiLastError, "la_capi_last_error"},
}
for _, lf := range libFuncs {
purego.RegisterLibFunc(lf.FuncPtr, lib, lf.Name)
}
flag.Parse()
if err := grpc.StartServer(*addr, &LocateAnythingCpp{}); err != nil {
panic(err)
}
}

View File

@@ -1,176 +0,0 @@
package main
// main_test.go - end-to-end smoke test for the locate-anything-cpp gRPC backend.
//
// Spawns the compiled locate-anything-cpp binary on a free local port, dials it
// via gRPC, and exercises LoadModel + Detect against the test fixtures
// downloaded by test.sh: the q8_0 GGUF of nvidia/LocateAnything-3B and a real
// COCO image with people + cars. Asserts that open-vocabulary detection driven
// by a text prompt returns at least one detection, each carrying a non-empty
// class name and a bounding box of non-zero size.
//
// The spec Skip()s cleanly if its fixtures (the ~6.3 GB model, the test image,
// the built binary, or the fallback .so) are missing, so the test target stays
// usable on a fresh checkout / on CI runners where the large model hasn't been
// downloaded.
import (
"context"
"encoding/base64"
"fmt"
"net"
"os"
"os/exec"
"path/filepath"
"testing"
"time"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
"google.golang.org/grpc"
"google.golang.org/grpc/credentials/insecure"
)
func TestDetect(t *testing.T) {
RegisterFailHandler(Fail)
RunSpecs(t, "locate-anything-cpp backend smoke suite")
}
// freePort grabs an ephemeral TCP port and immediately releases it so the
// spawned backend can bind to it. There is a tiny TOCTOU window here but in
// practice it's adequate for a smoke test on a quiet runner.
func freePort() int {
l, err := net.Listen("tcp", "127.0.0.1:0")
Expect(err).ToNot(HaveOccurred(), "freePort listen")
port := l.Addr().(*net.TCPAddr).Port
Expect(l.Close()).To(Succeed())
return port
}
// startBackend spawns the locate-anything-cpp binary on the given port and
// waits until it accepts TCP connections (up to 10s). It mirrors how main.go
// resolves the purego library: the LOCATEANYTHING_LIBRARY env var points the
// dlopen at the freshly built fallback .so, and the la_capi_* symbols are
// registered there. The returned cleanup func kills the process and reaps it.
func startBackend(port int) func() {
binary, err := filepath.Abs("./locate-anything-cpp")
Expect(err).ToNot(HaveOccurred())
if _, err := os.Stat(binary); err != nil {
Skip(fmt.Sprintf("backend binary not built: %s (run `make locate-anything-cpp` first)", binary))
}
libPath, err := filepath.Abs("./liblocateanythingcpp-fallback.so")
Expect(err).ToNot(HaveOccurred())
if _, err := os.Stat(libPath); err != nil {
Skip(fmt.Sprintf("fallback library not built: %s (run `make liblocateanythingcpp-fallback.so` first)", libPath))
}
addr := fmt.Sprintf("127.0.0.1:%d", port)
cmd := exec.Command(binary, "--addr", addr)
cmd.Env = append(os.Environ(), "LOCATEANYTHING_LIBRARY="+libPath)
cmd.Stdout = os.Stderr
cmd.Stderr = os.Stderr
Expect(cmd.Start()).To(Succeed())
cleanup := func() {
if cmd.Process != nil {
_ = cmd.Process.Kill()
_, _ = cmd.Process.Wait()
}
}
deadline := time.Now().Add(10 * time.Second)
for time.Now().Before(deadline) {
c, err := net.DialTimeout("tcp", addr, 200*time.Millisecond)
if err == nil {
_ = c.Close()
return cleanup
}
time.Sleep(200 * time.Millisecond)
}
cleanup()
Fail(fmt.Sprintf("backend did not become ready on %s within 10s", addr))
return func() {}
}
// loadTestImage reads the COCO test image downloaded by test.sh and returns its
// base64-encoded content (the wire format accepted by the Detect RPC).
func loadTestImage() string {
imgPath, err := filepath.Abs("test-data/test.jpg")
Expect(err).ToNot(HaveOccurred())
imgBytes, err := os.ReadFile(imgPath)
if err != nil {
Skip(fmt.Sprintf("test image not present: %s (run test.sh first)", imgPath))
}
return base64.StdEncoding.EncodeToString(imgBytes)
}
// dialBackend opens a gRPC client connection to the spawned backend.
func dialBackend(port int) (pb.BackendClient, func()) {
addr := fmt.Sprintf("127.0.0.1:%d", port)
conn, err := grpc.NewClient(addr, grpc.WithTransportCredentials(insecure.NewCredentials()))
Expect(err).ToNot(HaveOccurred())
return pb.NewBackendClient(conn), func() { _ = conn.Close() }
}
// modelPathOrSkip resolves the model file under ./test-models/ and Skip()s the
// current spec if it's missing (the ~6.3 GB GGUF is not present on a fresh
// checkout / on CI runners without the download).
func modelPathOrSkip(name string) string {
modelDir, err := filepath.Abs("test-models")
Expect(err).ToNot(HaveOccurred())
modelPath := filepath.Join(modelDir, name)
if _, err := os.Stat(modelPath); err != nil {
Skip(fmt.Sprintf("model not present: %s (run test.sh first)", modelPath))
}
return modelPath
}
var _ = Describe("locate-anything-cpp backend", func() {
It("runs open-vocabulary detection against a known-good COCO image", func() {
modelPath := modelPathOrSkip("locate-anything-q8_0.gguf")
imgB64 := loadTestImage()
port := freePort()
cleanup := startBackend(port)
defer cleanup()
client, closeConn := dialBackend(port)
defer closeConn()
// The q8_0 model is ~6.3 GB and hybrid Parallel Box Decoding on CPU is
// not cheap, so give LoadModel + Detect a generous deadline.
ctx, cancel := context.WithTimeout(context.Background(), 20*time.Minute)
defer cancel()
loadResp, err := client.LoadModel(ctx, &pb.ModelOptions{
Model: "locate-anything-q8_0.gguf",
ModelFile: modelPath,
Threads: 4,
})
Expect(err).ToNot(HaveOccurred(), "LoadModel")
Expect(loadResp.GetSuccess()).To(BeTrue(), "LoadModel reported failure: %s", loadResp.GetMessage())
// Open-vocabulary detection is prompt-driven; the prompt names the
// classes to locate (people + cars), separated by the </c> control token.
detResp, err := client.Detect(ctx, &pb.DetectOptions{
Src: imgB64,
Prompt: "Locate all the instances that matches the following description: person</c>car.",
})
Expect(err).ToNot(HaveOccurred(), "Detect")
Expect(detResp.GetDetections()).ToNot(BeEmpty(), "no detections returned on a known-good COCO image")
_, _ = fmt.Fprintf(GinkgoWriter, "detection OK: %d detections\n", len(detResp.GetDetections()))
for i, d := range detResp.GetDetections() {
Expect(d.GetClassName()).ToNot(BeEmpty(), "detection %d has empty class_name", i)
Expect(d.GetWidth()).To(BeNumerically(">", float32(0)),
"detection %d has non-positive width", i)
Expect(d.GetHeight()).To(BeNumerically(">", float32(0)),
"detection %d has non-positive height", i)
_, _ = fmt.Fprintf(GinkgoWriter, " [%d] %s box=(%.1f,%.1f,%.1fx%.1f)\n",
i, d.GetClassName(), d.GetX(), d.GetY(), d.GetWidth(), d.GetHeight())
}
})
})

View File

@@ -1,59 +0,0 @@
#!/bin/bash
# Script to copy the appropriate libraries based on architecture
set -e
CURDIR=$(dirname "$(realpath $0)")
REPO_ROOT="${CURDIR}/../../.."
# Create lib directory
mkdir -p $CURDIR/package/lib
cp -avf $CURDIR/liblocateanythingcpp-*.so $CURDIR/package/
cp -avf $CURDIR/locate-anything-cpp $CURDIR/package/
cp -fv $CURDIR/run.sh $CURDIR/package/
# Detect architecture and copy appropriate libraries
if [ -f "/lib64/ld-linux-x86-64.so.2" ]; then
# x86_64 architecture
echo "Detected x86_64 architecture, copying x86_64 libraries..."
cp -arfLv /lib64/ld-linux-x86-64.so.2 $CURDIR/package/lib/ld.so
cp -arfLv /lib/x86_64-linux-gnu/libc.so.6 $CURDIR/package/lib/libc.so.6
cp -arfLv /lib/x86_64-linux-gnu/libgcc_s.so.1 $CURDIR/package/lib/libgcc_s.so.1
cp -arfLv /lib/x86_64-linux-gnu/libstdc++.so.6 $CURDIR/package/lib/libstdc++.so.6
cp -arfLv /lib/x86_64-linux-gnu/libm.so.6 $CURDIR/package/lib/libm.so.6
cp -arfLv /lib/x86_64-linux-gnu/libgomp.so.1 $CURDIR/package/lib/libgomp.so.1
cp -arfLv /lib/x86_64-linux-gnu/libdl.so.2 $CURDIR/package/lib/libdl.so.2
cp -arfLv /lib/x86_64-linux-gnu/librt.so.1 $CURDIR/package/lib/librt.so.1
cp -arfLv /lib/x86_64-linux-gnu/libpthread.so.0 $CURDIR/package/lib/libpthread.so.0
elif [ -f "/lib/ld-linux-aarch64.so.1" ]; then
# ARM64 architecture
echo "Detected ARM64 architecture, copying ARM64 libraries..."
cp -arfLv /lib/ld-linux-aarch64.so.1 $CURDIR/package/lib/ld.so
cp -arfLv /lib/aarch64-linux-gnu/libc.so.6 $CURDIR/package/lib/libc.so.6
cp -arfLv /lib/aarch64-linux-gnu/libgcc_s.so.1 $CURDIR/package/lib/libgcc_s.so.1
cp -arfLv /lib/aarch64-linux-gnu/libstdc++.so.6 $CURDIR/package/lib/libstdc++.so.6
cp -arfLv /lib/aarch64-linux-gnu/libm.so.6 $CURDIR/package/lib/libm.so.6
cp -arfLv /lib/aarch64-linux-gnu/libgomp.so.1 $CURDIR/package/lib/libgomp.so.1
cp -arfLv /lib/aarch64-linux-gnu/libdl.so.2 $CURDIR/package/lib/libdl.so.2
cp -arfLv /lib/aarch64-linux-gnu/librt.so.1 $CURDIR/package/lib/librt.so.1
cp -arfLv /lib/aarch64-linux-gnu/libpthread.so.0 $CURDIR/package/lib/libpthread.so.0
elif [ $(uname -s) = "Darwin" ]; then
echo "Detected Darwin"
else
echo "Error: Could not detect architecture"
exit 1
fi
# Package GPU libraries based on BUILD_TYPE
GPU_LIB_SCRIPT="${REPO_ROOT}/scripts/build/package-gpu-libs.sh"
if [ -f "$GPU_LIB_SCRIPT" ]; then
echo "Packaging GPU libraries for BUILD_TYPE=${BUILD_TYPE:-cpu}..."
source "$GPU_LIB_SCRIPT" "$CURDIR/package/lib"
package_gpu_libs
fi
echo "Packaging completed successfully"
ls -liah $CURDIR/package/
ls -liah $CURDIR/package/lib/

View File

@@ -1,52 +0,0 @@
#!/bin/bash
set -ex
# Get the absolute current dir where the script is located
CURDIR=$(dirname "$(realpath $0)")
cd /
echo "CPU info:"
if [ "$(uname)" != "Darwin" ]; then
grep -e "model\sname" /proc/cpuinfo | head -1
grep -e "flags" /proc/cpuinfo | head -1
fi
LIBRARY="$CURDIR/liblocateanythingcpp-fallback.so"
if [ "$(uname)" != "Darwin" ]; then
if grep -q -e "\savx\s" /proc/cpuinfo ; then
echo "CPU: AVX found OK"
if [ -e $CURDIR/liblocateanythingcpp-avx.so ]; then
LIBRARY="$CURDIR/liblocateanythingcpp-avx.so"
fi
fi
if grep -q -e "\savx2\s" /proc/cpuinfo ; then
echo "CPU: AVX2 found OK"
if [ -e $CURDIR/liblocateanythingcpp-avx2.so ]; then
LIBRARY="$CURDIR/liblocateanythingcpp-avx2.so"
fi
fi
# Check avx 512
if grep -q -e "\savx512f\s" /proc/cpuinfo ; then
echo "CPU: AVX512F found OK"
if [ -e $CURDIR/liblocateanythingcpp-avx512.so ]; then
LIBRARY="$CURDIR/liblocateanythingcpp-avx512.so"
fi
fi
fi
export LD_LIBRARY_PATH=$CURDIR/lib:$LD_LIBRARY_PATH
export LOCATEANYTHING_LIBRARY=$LIBRARY
# If there is a lib/ld.so, use it
if [ -f $CURDIR/lib/ld.so ]; then
echo "Using lib/ld.so"
echo "Using library: $LIBRARY"
exec $CURDIR/lib/ld.so $CURDIR/locate-anything-cpp "$@"
fi
echo "Using library: $LIBRARY"
exec $CURDIR/locate-anything-cpp "$@"

View File

@@ -1,47 +0,0 @@
#!/bin/bash
set -e
CURDIR=$(dirname "$(realpath $0)")
echo "Running locate-anything-cpp backend tests..."
# Test model from the mudler/locate-anything.cpp-gguf HuggingFace repo. This is
# the q8_0 quantization of nvidia/LocateAnything-3B (~6.3 GB), so the download
# is the slow step. It is resumed with `curl -C -` and skipped entirely if the
# file is already present.
LOCATEANYTHING_MODEL_DIR="${LOCATEANYTHING_MODEL_DIR:-$CURDIR/test-models}"
LOCATEANYTHING_MODEL_FILE="${LOCATEANYTHING_MODEL_FILE:-locate-anything-q8_0.gguf}"
LOCATEANYTHING_MODEL_URL="${LOCATEANYTHING_MODEL_URL:-https://huggingface.co/mudler/locate-anything.cpp-gguf/resolve/main/locate-anything-q8_0.gguf}"
mkdir -p "$LOCATEANYTHING_MODEL_DIR"
if [ ! -f "$LOCATEANYTHING_MODEL_DIR/$LOCATEANYTHING_MODEL_FILE" ]; then
echo "Downloading locate-anything q8_0 model (~6.3 GB, this is slow)..."
# -C - resumes a partial download so an interrupted run doesn't restart from 0.
curl -L -C - -o "$LOCATEANYTHING_MODEL_DIR/$LOCATEANYTHING_MODEL_FILE" "$LOCATEANYTHING_MODEL_URL" --progress-bar
fi
# Use a real COCO test image (people + cars) from the upstream rf-detr.cpp repo
# (~46 KB). Open-vocabulary detection needs real content to locate, so a
# synthetic image would trivially yield zero detections.
TEST_IMAGE_DIR="$CURDIR/test-data"
TEST_IMAGE_FILE="$TEST_IMAGE_DIR/test.jpg"
TEST_IMAGE_URL="${TEST_IMAGE_URL:-https://raw.githubusercontent.com/mudler/rf-detr.cpp/main/tests/fixtures/ci/test_image.jpg}"
mkdir -p "$TEST_IMAGE_DIR"
if [ ! -f "$TEST_IMAGE_FILE" ]; then
echo "Downloading COCO test image..."
curl -L -o "$TEST_IMAGE_FILE" "$TEST_IMAGE_URL" --progress-bar
fi
echo "locate-anything-cpp test setup complete."
echo " model: $LOCATEANYTHING_MODEL_DIR/$LOCATEANYTHING_MODEL_FILE"
echo " test image: $TEST_IMAGE_FILE"
# Run the Go smoke test: spawns the backend binary on a free port, calls
# LoadModel + Detect via gRPC against the downloaded GGUF + COCO image.
echo ""
echo "Running Go smoke test..."
cd "$CURDIR"
go test -v -timeout 30m ./...

View File

@@ -1,17 +0,0 @@
# Fetched upstream sources
sources/
# CMake build directories
build*/
# Compiled shared libraries
*.so
# Compiled backend binary
omnivoice-cpp
# Packaging output
package/
# Downloaded e2e models
omnivoice-models/

View File

@@ -1,53 +0,0 @@
cmake_minimum_required(VERSION 3.14)
project(gomnivoicecpp LANGUAGES C CXX)
set(CMAKE_POSITION_INDEPENDENT_CODE ON)
set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
set(OMNIVOICE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/sources/omnivoice.cpp)
# Override upstream's CMAKE_CUDA_ARCHITECTURES before add_subdirectory.
if(NOT DEFINED CMAKE_CUDA_ARCHITECTURES)
set(CMAKE_CUDA_ARCHITECTURES "75-virtual;80-virtual;86-real;89-real")
endif()
# Add the upstream project. Its own CMakeLists adds ggml + builds
# omnivoice-core (STATIC, contains src/omnivoice.cpp i.e. the ov_* impl).
# EXCLUDE_FROM_ALL keeps its CLI tools/tests from building unless referenced.
add_subdirectory(${OMNIVOICE_DIR} omnivoice EXCLUDE_FROM_ALL)
# Upstream generates version.h into its own CMAKE_CURRENT_BINARY_DIR and adds
# the top-level ${CMAKE_BINARY_DIR} to omnivoice-core's include path. When the
# project is nested under add_subdirectory those two directories differ
# (<build>/omnivoice vs <build>), so omnivoice.cpp cannot find version.h. Point
# omnivoice-core at the subproject binary dir where version.h is actually
# generated. (Fix lives here, never in the fetched upstream checkout.)
target_include_directories(omnivoice-core PRIVATE ${CMAKE_BINARY_DIR}/omnivoice)
add_library(gomnivoicecpp MODULE cpp/gomnivoicecpp.cpp)
target_link_libraries(gomnivoicecpp PRIVATE omnivoice-core)
target_include_directories(gomnivoicecpp PRIVATE ${OMNIVOICE_DIR}/src)
target_include_directories(gomnivoicecpp SYSTEM PRIVATE ${OMNIVOICE_DIR}/ggml/include)
# Link GPU backends if the upstream ggml created them.
foreach(backend blas cuda metal vulkan sycl)
if(TARGET ggml-${backend})
target_link_libraries(gomnivoicecpp PRIVATE ggml-${backend})
if(backend STREQUAL "cuda")
find_package(CUDAToolkit QUIET)
if(CUDAToolkit_FOUND)
target_link_libraries(gomnivoicecpp PRIVATE CUDA::cudart)
endif()
endif()
endif()
endforeach()
if(MSVC)
target_compile_options(gomnivoicecpp PRIVATE /W4 /wd4100 /wd4505)
else()
target_compile_options(gomnivoicecpp PRIVATE -Wall -Wextra
-Wno-unused-parameter -Wno-unused-function)
endif()
set_property(TARGET gomnivoicecpp PROPERTY CXX_STANDARD 17)
set_target_properties(gomnivoicecpp PROPERTIES LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR})

View File

@@ -1,122 +0,0 @@
CMAKE_ARGS?=
BUILD_TYPE?=
NATIVE?=false
GOCMD?=go
GO_TAGS?=
JOBS?=$(shell nproc --ignore=1)
# omnivoice.cpp version
OMNIVOICE_REPO?=https://github.com/ServeurpersoCom/omnivoice.cpp
OMNIVOICE_VERSION?=2603355a5dfacae5cfc33531d5d0933221843509
SO_TARGET?=libgomnivoicecpp.so
CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF
ifeq ($(NATIVE),false)
CMAKE_ARGS+=-DGGML_NATIVE=OFF
endif
ifeq ($(BUILD_TYPE),cublas)
CMAKE_ARGS+=-DGGML_CUDA=ON
else ifeq ($(BUILD_TYPE),openblas)
CMAKE_ARGS+=-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
else ifeq ($(BUILD_TYPE),clblas)
CMAKE_ARGS+=-DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
else ifeq ($(BUILD_TYPE),hipblas)
CMAKE_ARGS+=-DGGML_HIPBLAS=ON
else ifeq ($(BUILD_TYPE),vulkan)
CMAKE_ARGS+=-DGGML_VULKAN=ON
else ifeq ($(OS),Darwin)
ifneq ($(BUILD_TYPE),metal)
CMAKE_ARGS+=-DGGML_METAL=OFF
else
CMAKE_ARGS+=-DGGML_METAL=ON
CMAKE_ARGS+=-DGGML_METAL_EMBED_LIBRARY=ON
endif
endif
ifeq ($(BUILD_TYPE),sycl_f16)
CMAKE_ARGS+=-DGGML_SYCL=ON \
-DCMAKE_C_COMPILER=icx \
-DCMAKE_CXX_COMPILER=icpx \
-DGGML_SYCL_F16=ON
endif
ifeq ($(BUILD_TYPE),sycl_f32)
CMAKE_ARGS+=-DGGML_SYCL=ON \
-DCMAKE_C_COMPILER=icx \
-DCMAKE_CXX_COMPILER=icpx
endif
sources/omnivoice.cpp:
mkdir -p sources/omnivoice.cpp
cd sources/omnivoice.cpp && \
git init && \
git remote add origin $(OMNIVOICE_REPO) && \
git fetch origin && \
git checkout $(OMNIVOICE_VERSION) && \
git submodule update --init --recursive --depth 1 --single-branch
# Detect OS
UNAME_S := $(shell uname -s)
# Only build CPU variants on Linux
ifeq ($(UNAME_S),Linux)
VARIANT_TARGETS = libgomnivoicecpp-avx.so libgomnivoicecpp-avx2.so libgomnivoicecpp-avx512.so libgomnivoicecpp-fallback.so
else
VARIANT_TARGETS = libgomnivoicecpp-fallback.so
endif
omnivoice-cpp: main.go gomnivoicecpp.go $(VARIANT_TARGETS)
CGO_ENABLED=0 $(GOCMD) build -tags "$(GO_TAGS)" -o omnivoice-cpp ./
package: omnivoice-cpp
bash package.sh
build: package
clean: purge
rm -rf libgomnivoicecpp*.so package sources/omnivoice.cpp omnivoice-cpp
purge:
rm -rf build*
.NOTPARALLEL:
ifeq ($(UNAME_S),Linux)
libgomnivoicecpp-avx.so: sources/omnivoice.cpp
$(info ${GREEN}I omnivoice-cpp build info:avx${RESET})
SO_TARGET=libgomnivoicecpp-avx.so CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) libgomnivoicecpp-custom
rm -rf build-libgomnivoicecpp-avx.so
libgomnivoicecpp-avx2.so: sources/omnivoice.cpp
$(info ${GREEN}I omnivoice-cpp build info:avx2${RESET})
SO_TARGET=libgomnivoicecpp-avx2.so CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=off -DGGML_FMA=on -DGGML_F16C=on -DGGML_BMI2=on" $(MAKE) libgomnivoicecpp-custom
rm -rf build-libgomnivoicecpp-avx2.so
libgomnivoicecpp-avx512.so: sources/omnivoice.cpp
$(info ${GREEN}I omnivoice-cpp build info:avx512${RESET})
SO_TARGET=libgomnivoicecpp-avx512.so CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=on -DGGML_FMA=on -DGGML_F16C=on -DGGML_BMI2=on" $(MAKE) libgomnivoicecpp-custom
rm -rf build-libgomnivoicecpp-avx512.so
endif
libgomnivoicecpp-fallback.so: sources/omnivoice.cpp
$(info ${GREEN}I omnivoice-cpp build info:fallback${RESET})
SO_TARGET=libgomnivoicecpp-fallback.so CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) libgomnivoicecpp-custom
rm -rf build-libgomnivoicecpp-fallback.so
libgomnivoicecpp-custom: CMakeLists.txt cpp/gomnivoicecpp.cpp cpp/gomnivoicecpp.h
mkdir -p build-$(SO_TARGET) && \
cd build-$(SO_TARGET) && \
cmake .. $(CMAKE_ARGS) && \
cmake --build . --config Release -j$(JOBS) --target gomnivoicecpp && \
cd .. && \
mv build-$(SO_TARGET)/libgomnivoicecpp.so ./$(SO_TARGET)
test: omnivoice-cpp
@echo "Running omnivoice-cpp tests..."
bash test.sh
@echo "omnivoice-cpp tests completed."
all: omnivoice-cpp package

View File

@@ -1,129 +0,0 @@
package main
import (
"bytes"
"encoding/binary"
"fmt"
"os"
"runtime"
"github.com/go-audio/audio"
"github.com/go-audio/wav"
)
const omnivoiceSampleRate = 24000
// wavHeader24k returns a 44-byte WAV header for a streaming 24 kHz mono 16-bit
// PCM stream, with placeholder (0xFFFFFFFF) sizes since the total length is
// unknown up front. Emitted as the first chunk of TTSStream so the HTTP layer
// receives a self-describing WAV (the gRPC TTSStream path never sets Message,
// so the backend owns the header - see core/backend/tts.go:ModelTTSStream).
func wavHeader24k() []byte {
var buf bytes.Buffer
w := func(v any) { _ = binary.Write(&buf, binary.LittleEndian, v) }
buf.WriteString("RIFF")
w(uint32(0xFFFFFFFF))
buf.WriteString("WAVE")
buf.WriteString("fmt ")
w(uint32(16)) // Subchunk1Size
w(uint16(1)) // PCM
w(uint16(1)) // mono
w(uint32(omnivoiceSampleRate)) // sample rate
w(uint32(omnivoiceSampleRate * 2)) // byte rate = SR * blockAlign
w(uint16(2)) // block align (16-bit mono)
w(uint16(16)) // bits per sample
buf.WriteString("data")
w(uint32(0xFFFFFFFF))
return buf.Bytes()
}
// floatToPCM16LE clamps each sample to [-1,1] and encodes it as little-endian
// signed 16-bit PCM.
func floatToPCM16LE(samples []float32) []byte {
out := make([]byte, len(samples)*2)
for i, s := range samples {
if s > 1 {
s = 1
} else if s < -1 {
s = -1
}
v := int16(s * 32767)
out[i*2] = byte(v)
out[i*2+1] = byte(v >> 8)
}
return out
}
// writeWAV24k writes samples as a finalized 24 kHz mono 16-bit WAV at dst.
func writeWAV24k(dst string, samples []float32) error {
f, err := os.Create(dst)
if err != nil {
return fmt.Errorf("omnivoice: create %q: %w", dst, err)
}
enc := wav.NewEncoder(f, omnivoiceSampleRate, 16, 1, 1)
ints := make([]int, len(samples))
for i, s := range samples {
if s > 1 {
s = 1
} else if s < -1 {
s = -1
}
ints[i] = int(s * 32767)
}
b := &audio.IntBuffer{
Format: &audio.Format{NumChannels: 1, SampleRate: omnivoiceSampleRate},
Data: ints,
SourceBitDepth: 16,
}
if err := enc.Write(b); err != nil {
_ = enc.Close()
_ = f.Close()
return fmt.Errorf("omnivoice: encode WAV: %w", err)
}
if err := enc.Close(); err != nil {
_ = f.Close()
return fmt.Errorf("omnivoice: finalize WAV: %w", err)
}
return f.Close()
}
// readWAVAsFloat decodes a WAV file (any sample rate/channels) to a mono
// float32 slice in [-1,1] for use as reference audio. OmniVoice expects 24 kHz;
// callers should supply 24 kHz reference clips.
func readWAVAsFloat(path string) ([]float32, error) {
f, err := os.Open(path)
if err != nil {
return nil, fmt.Errorf("omnivoice: open ref %q: %w", path, err)
}
defer func() { _ = f.Close() }()
dec := wav.NewDecoder(f)
buf, err := dec.FullPCMBuffer()
if err != nil {
return nil, fmt.Errorf("omnivoice: decode ref %q: %w", path, err)
}
ch := int(buf.Format.NumChannels)
if ch < 1 {
ch = 1
}
bitDepth := int(buf.SourceBitDepth)
if bitDepth == 0 {
bitDepth = 16
}
scale := float32(int64(1) << uint(bitDepth-1))
n := len(buf.Data) / ch
out := make([]float32, n)
for i := 0; i < n; i++ {
// Downmix to mono by averaging channels.
var acc int
for c := 0; c < ch; c++ {
acc += buf.Data[i*ch+c]
}
out[i] = float32(acc) / float32(ch) / scale
}
return out, nil
}
// runtimeKeepAlive prevents the GC from reclaiming the reference-audio slice
// while its backing pointer is in use across the C call.
func runtimeKeepAlive(v any) { runtime.KeepAlive(v) }

View File

@@ -1,166 +0,0 @@
#include "gomnivoicecpp.h"
#include "ggml-backend.h"
#include "omnivoice.h"
#include <cstdio>
#include <cstdlib>
#include <cstring>
static ov_context *g_ctx = nullptr;
static void ggml_log_cb(enum ggml_log_level level, const char *log,
void * /*data*/) {
if (!log)
return;
const char *lvl = "?????";
switch (level) {
case GGML_LOG_LEVEL_DEBUG: lvl = "DEBUG"; break;
case GGML_LOG_LEVEL_INFO: lvl = "INFO"; break;
case GGML_LOG_LEVEL_WARN: lvl = "WARN"; break;
case GGML_LOG_LEVEL_ERROR: lvl = "ERROR"; break;
default: break;
}
fprintf(stderr, "[%-5s] %s", lvl, log);
fflush(stderr);
}
int omni_load(const char *model_path, const char *codec_path, int use_fa,
int clamp_fp16) {
ggml_log_set(ggml_log_cb, nullptr);
ggml_backend_load_all();
if (!model_path || model_path[0] == '\0') {
fprintf(stderr, "[omnivoice-cpp] ERROR: model_path is required\n");
return 1;
}
if (!codec_path || codec_path[0] == '\0') {
fprintf(stderr, "[omnivoice-cpp] ERROR: codec_path is required\n");
return 2;
}
ov_init_params p;
ov_init_default_params(&p);
p.model_path = model_path;
p.codec_path = codec_path;
p.use_fa = use_fa != 0;
p.clamp_fp16 = clamp_fp16 != 0;
fprintf(stderr, "[omnivoice-cpp] Loading model=%s codec=%s\n", model_path,
codec_path);
g_ctx = ov_init(&p);
if (!g_ctx) {
fprintf(stderr, "[omnivoice-cpp] FATAL: ov_init failed: %s\n",
ov_last_error());
return 3;
}
fprintf(stderr, "[omnivoice-cpp] Model loaded (%s)\n", ov_version());
return 0;
}
// Fill an ov_tts_params from the flat wrapper arguments.
static void fill_params(ov_tts_params *tp, const char *text, const char *lang,
const char *instruct, const float *ref_samples,
int ref_n, const char *ref_text, long long seed,
int denoise) {
ov_tts_default_params(tp);
tp->text = text ? text : "";
tp->lang = lang ? lang : "";
if (instruct && instruct[0] != '\0')
tp->instruct = instruct;
if (ref_samples && ref_n > 0) {
tp->ref_audio_24k = ref_samples;
tp->ref_n_samples = ref_n;
if (ref_text && ref_text[0] != '\0')
tp->ref_text = ref_text;
tp->denoise = denoise != 0;
}
if (seed >= 0)
tp->mg_seed = (uint64_t)seed;
}
float *omni_tts(const char *text, const char *lang, const char *instruct,
const float *ref_samples, int ref_n, const char *ref_text,
long long seed, int denoise, int *out_n) {
if (out_n)
*out_n = 0;
if (!g_ctx) {
fprintf(stderr, "[omnivoice-cpp] ERROR: model not loaded\n");
return nullptr;
}
if (!text || text[0] == '\0') {
fprintf(stderr, "[omnivoice-cpp] ERROR: text is required\n");
return nullptr; // omni_tts: out_n already 0
}
ov_tts_params tp;
fill_params(&tp, text, lang, instruct, ref_samples, ref_n, ref_text, seed,
denoise);
ov_audio out = {0};
enum ov_status rc = ov_synthesize(g_ctx, &tp, &out);
if (rc != OV_STATUS_OK || out.n_samples <= 0 || !out.samples) {
fprintf(stderr, "[omnivoice-cpp] ERROR: synthesize failed (rc=%d): %s\n",
(int)rc, ov_last_error());
ov_audio_free(&out);
return nullptr;
}
// Copy into a plain malloc buffer the Go side can free symmetrically via
// omni_pcm_free; then release the ov_audio-owned buffer.
size_t bytes = (size_t)out.n_samples * sizeof(float);
float *buf = (float *)malloc(bytes);
if (!buf) {
fprintf(stderr, "[omnivoice-cpp] ERROR: malloc(%zu) failed\n", bytes);
ov_audio_free(&out);
return nullptr;
}
memcpy(buf, out.samples, bytes);
if (out_n)
*out_n = out.n_samples;
ov_audio_free(&out);
return buf;
}
int omni_tts_stream(const char *text, const char *lang, const char *instruct,
const float *ref_samples, int ref_n, const char *ref_text,
long long seed, int denoise, omni_pcm_chunk_cb cb,
void *user_data) {
if (!g_ctx) {
fprintf(stderr, "[omnivoice-cpp] ERROR: model not loaded\n");
return 1;
}
if (!cb) {
fprintf(stderr, "[omnivoice-cpp] ERROR: stream callback is null\n");
return 2;
}
if (!text || text[0] == '\0') {
fprintf(stderr, "[omnivoice-cpp] ERROR: text is required\n");
return 4;
}
ov_tts_params tp;
fill_params(&tp, text, lang, instruct, ref_samples, ref_n, ref_text, seed,
denoise);
// ov_audio_chunk_cb has the identical signature to omni_pcm_chunk_cb
// (bool vs int return are ABI-compatible; non-zero == true).
tp.on_chunk = (ov_audio_chunk_cb)cb;
tp.on_chunk_user_data = user_data;
ov_audio out = {0}; // stays empty in streaming mode
enum ov_status rc = ov_synthesize(g_ctx, &tp, &out);
ov_audio_free(&out);
if (rc != OV_STATUS_OK && rc != OV_STATUS_CANCELLED) {
fprintf(stderr, "[omnivoice-cpp] ERROR: stream synth failed (rc=%d): %s\n",
(int)rc, ov_last_error());
return 3;
}
return 0;
}
void omni_pcm_free(float *p) { free(p); }
void omni_unload(void) {
if (g_ctx) {
ov_free(g_ctx);
g_ctx = nullptr;
}
}

View File

@@ -1,38 +0,0 @@
#pragma once
#include <cstdint>
extern "C" {
// Streaming PCM chunk callback. samples is mono float PCM at 24 kHz, valid
// only for the duration of the call. Return non-zero to continue, 0 to abort.
typedef int (*omni_pcm_chunk_cb)(const float *samples, int n_samples,
void *user_data);
// Load the LM (model_path) + codec (codec_path) GGUFs. use_fa / clamp_fp16
// map to ov_init_params. Returns 0 on success, non-zero on failure.
int omni_load(const char *model_path, const char *codec_path, int use_fa,
int clamp_fp16);
// Synthesize to a malloc'd float PCM buffer (caller frees via omni_pcm_free).
// ref_samples != null && ref_n > 0 => voice cloning (ref_text optional).
// instruct != null && non-empty => voice design. seed < 0 keeps the default
// MaskGIT seed. denoise toggles the <|denoise|> marker (only with a reference).
// Writes the sample count to *out_n. Returns NULL on failure (out_n set to 0).
float *omni_tts(const char *text, const char *lang, const char *instruct,
const float *ref_samples, int ref_n, const char *ref_text,
long long seed, int denoise, int *out_n);
// Streaming synthesis: cb is invoked per PCM chunk as audio is produced.
// Same reference/design/seed semantics as omni_tts. Returns 0 on success.
int omni_tts_stream(const char *text, const char *lang, const char *instruct,
const float *ref_samples, int ref_n, const char *ref_text,
long long seed, int denoise, omni_pcm_chunk_cb cb,
void *user_data);
// Free a buffer returned by omni_tts.
void omni_pcm_free(float *p);
// Release the OmniVoice context.
void omni_unload(void);
}

View File

@@ -1,74 +0,0 @@
package main
import (
"os"
"strings"
"github.com/ebitengine/purego"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
func ttsReq(text, voice string, lang *string, dst string) *pb.TTSRequest {
return &pb.TTSRequest{Text: text, Voice: voice, Language: lang, Dst: dst}
}
var _ = Describe("OmniVoice e2e", Label("e2e"), func() {
var loaded bool
BeforeEach(func() {
modelPath := os.Getenv("OMNIVOICE_MODEL")
codecPath := os.Getenv("OMNIVOICE_CODEC")
if modelPath == "" || codecPath == "" {
Skip("OMNIVOICE_MODEL / OMNIVOICE_CODEC not set; skipping e2e")
}
if !loaded {
lib := os.Getenv("OMNIVOICE_LIBRARY")
if lib == "" {
lib = "./libgomnivoicecpp-fallback.so"
}
h, err := purego.Dlopen(lib, purego.RTLD_NOW|purego.RTLD_GLOBAL)
Expect(err).ToNot(HaveOccurred())
purego.RegisterLibFunc(&CppLoad, h, "omni_load")
purego.RegisterLibFunc(&CppTTS, h, "omni_tts")
purego.RegisterLibFunc(&CppTTSStream, h, "omni_tts_stream")
purego.RegisterLibFunc(&CppPCMFree, h, "omni_pcm_free")
purego.RegisterLibFunc(&CppUnload, h, "omni_unload")
Expect(CppLoad(modelPath, codecPath, 0, 0)).To(Equal(0))
loaded = true
}
})
It("synthesizes a WAV file via TTS", func() {
b := &OmnivoiceCpp{opts: loadOptions{seed: 42, denoise: true}}
dst := GinkgoT().TempDir() + "/out.wav"
lang := "en"
err := b.TTS(ttsReq("Hello world.", "", &lang, dst))
Expect(err).ToNot(HaveOccurred())
fi, err := os.Stat(dst)
Expect(err).ToNot(HaveOccurred())
Expect(fi.Size()).To(BeNumerically(">", int64(44)))
})
It("streams audio chunks via TTSStream", func() {
b := &OmnivoiceCpp{opts: loadOptions{seed: 42, denoise: true}}
results := make(chan []byte, 1024)
lang := "en"
done := make(chan error, 1)
go func() { done <- b.TTSStream(ttsReq("Hello there, streaming test.", "", &lang, ""), results) }()
var chunks int
var first []byte
for c := range results {
if chunks == 0 {
first = c
}
chunks++
}
Expect(<-done).ToNot(HaveOccurred())
Expect(chunks).To(BeNumerically(">=", 2))
Expect(string(first[0:4])).To(Equal("RIFF"))
Expect(strings.HasPrefix(string(first[8:12]), "WAVE")).To(BeTrue())
})
})

View File

@@ -1,246 +0,0 @@
package main
import (
"fmt"
"os"
"path/filepath"
"strings"
"sync"
"unsafe"
"github.com/ebitengine/purego"
"github.com/mudler/LocalAI/pkg/grpc/base"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
)
var (
// omni_load(model_path, codec_path, use_fa, clamp_fp16) int
CppLoad func(modelPath, codecPath string, useFA, clampFP16 int) int
// omni_tts(text, lang, instruct, ref_samples, ref_n, ref_text, seed, denoise, out_n) -> float* (uintptr)
CppTTS func(text, lang, instruct string, refSamples unsafe.Pointer, refN int,
refText string, seed int64, denoise int, outN unsafe.Pointer) uintptr
// omni_tts_stream(text, lang, instruct, ref_samples, ref_n, ref_text, seed, denoise, cb, user) int
CppTTSStream func(text, lang, instruct string, refSamples unsafe.Pointer, refN int,
refText string, seed int64, denoise int, cb uintptr, user uintptr) int
CppPCMFree func(ptr uintptr)
CppUnload func()
)
type OmnivoiceCpp struct {
base.SingleThread
opts loadOptions
// audioPath is the model-config reference voice (tts.audio_path), used as
// the default voice-cloning reference when a request does not set Voice.
audioPath string
}
func (o *OmnivoiceCpp) Load(opts *pb.ModelOptions) error {
model := opts.ModelFile
if model == "" {
model = opts.ModelPath
}
if !filepath.IsAbs(model) && opts.ModelPath != "" {
model = filepath.Join(opts.ModelPath, model)
}
o.opts = parseOptions(opts.Options)
// Resolve the codec/tokenizer GGUF: explicit option, else auto-discover a
// *tokenizer*.gguf sibling of the base model.
codec := o.opts.codecPath
if codec != "" && !filepath.IsAbs(codec) {
codec = filepath.Join(filepath.Dir(model), codec)
}
if codec == "" {
codec = discoverTokenizer(filepath.Dir(model))
}
if codec == "" {
return fmt.Errorf("omnivoice: no codec/tokenizer GGUF found; set option 'tokenizer:<file>'")
}
o.opts.codecPath = codec
// tts.audio_path (ModelOptions.AudioPath) is the config-level voice-cloning
// reference: a default reference WAV used when a request omits Voice.
// Resolved relative to the model directory like the codec.
o.audioPath = opts.AudioPath
if o.audioPath != "" && !filepath.IsAbs(o.audioPath) {
o.audioPath = filepath.Join(filepath.Dir(model), o.audioPath)
}
useFA := boolToInt(o.opts.useFA)
clamp := boolToInt(o.opts.clampFP16)
fmt.Fprintf(os.Stderr, "[omnivoice-cpp] Load model=%s codec=%s use_fa=%d clamp_fp16=%d\n",
model, codec, useFA, clamp)
if rc := CppLoad(model, codec, useFA, clamp); rc != 0 {
return fmt.Errorf("omnivoice: failed to load model (rc=%d)", rc)
}
return nil
}
// discoverTokenizer returns the first *tokenizer*.gguf in dir, or "".
func discoverTokenizer(dir string) string {
entries, err := os.ReadDir(dir)
if err != nil {
return ""
}
for _, e := range entries {
name := strings.ToLower(e.Name())
if strings.Contains(name, "tokenizer") && strings.HasSuffix(name, ".gguf") {
return filepath.Join(dir, e.Name())
}
}
return ""
}
func boolToInt(b bool) int {
if b {
return 1
}
return 0
}
// refAudio loads the reference WAV (voice cloning) if voice points to a file.
// Returns nil if no cloning (empty or non-path - voice design uses Instructions).
func (o *OmnivoiceCpp) refAudio(voice string) ([]float32, error) {
v := strings.TrimSpace(voice)
if v == "" {
return nil, nil
}
if _, err := os.Stat(v); err != nil {
return nil, nil
}
return readWAVAsFloat(v)
}
// refAudioFor resolves the cloning reference for a request: the per-request
// Voice takes precedence, falling back to the model-config audio_path. Empty
// result means no cloning (voice design via Instructions still applies).
func (o *OmnivoiceCpp) refAudioFor(req *pb.TTSRequest) ([]float32, error) {
voice := strings.TrimSpace(req.Voice)
if voice == "" {
voice = o.audioPath
}
return o.refAudio(voice)
}
func reqParam(req *pb.TTSRequest, key string) string {
if req.Params == nil {
return ""
}
return req.Params[key]
}
func (o *OmnivoiceCpp) seedFor(req *pb.TTSRequest) int64 {
if s := reqParam(req, "seed"); s != "" {
var n int64
if _, err := fmt.Sscan(s, &n); err == nil {
return n
}
}
return o.opts.seed
}
func optStr(p *string) string {
if p == nil {
return ""
}
return *p
}
func (o *OmnivoiceCpp) TTS(req *pb.TTSRequest) error {
if req.Dst == "" {
return fmt.Errorf("omnivoice: TTS requires a destination path")
}
lang := normalizeLanguage(optStr(req.Language))
instruct := optStr(req.Instructions)
refText := reqParam(req, "ref_text")
seed := o.seedFor(req)
ref, err := o.refAudioFor(req)
if err != nil {
return err
}
var refPtr unsafe.Pointer
if len(ref) > 0 {
refPtr = unsafe.Pointer(&ref[0])
}
var n int32
ptr := CppTTS(req.Text, lang, instruct, refPtr, len(ref), refText, seed,
boolToInt(o.opts.denoise), unsafe.Pointer(&n))
runtimeKeepAlive(ref)
if ptr == 0 || n <= 0 {
return fmt.Errorf("omnivoice: synthesis failed")
}
defer CppPCMFree(ptr)
src := unsafe.Slice((*float32)(unsafe.Pointer(ptr)), int(n)) //nolint:govet // C-allocated PCM, copied out before free
out := make([]float32, int(n))
copy(out, src)
return writeWAV24k(req.Dst, out)
}
// streamState carries the active TTSStream channel to the single shared C
// callback. base.SingleThread serializes TTS/TTSStream, so one global slot is
// safe and avoids leaking a purego callback per request (purego callbacks
// cannot be freed and are capped).
var (
streamMu sync.Mutex
streamChan chan []byte
streamCbOnce sync.Once
streamCbPtr uintptr
)
// streamCallback is registered once and forwards each PCM chunk to streamChan.
func streamCallback(samples *float32, nSamples int32, _ uintptr) uintptr {
if nSamples <= 0 || samples == nil || streamChan == nil {
return 1 // continue
}
src := unsafe.Slice(samples, int(nSamples))
cp := make([]float32, int(nSamples)) // copy out of C memory before returning
copy(cp, src)
streamChan <- floatToPCM16LE(cp)
return 1 // continue
}
func (o *OmnivoiceCpp) TTSStream(req *pb.TTSRequest, results chan []byte) error {
defer close(results)
if req.Text == "" {
return fmt.Errorf("omnivoice: TTSStream requires text")
}
streamCbOnce.Do(func() {
streamCbPtr = purego.NewCallback(streamCallback)
})
lang := normalizeLanguage(optStr(req.Language))
instruct := optStr(req.Instructions)
refText := reqParam(req, "ref_text")
seed := o.seedFor(req)
ref, err := o.refAudioFor(req)
if err != nil {
return err
}
var refPtr unsafe.Pointer
if len(ref) > 0 {
refPtr = unsafe.Pointer(&ref[0])
}
// Emit the WAV header first so the HTTP layer gets a self-describing stream.
results <- wavHeader24k()
streamMu.Lock()
streamChan = results
rc := CppTTSStream(req.Text, lang, instruct, refPtr, len(ref), refText, seed,
boolToInt(o.opts.denoise), streamCbPtr, 0)
streamChan = nil
streamMu.Unlock()
runtimeKeepAlive(ref)
if rc != 0 {
return fmt.Errorf("omnivoice: streaming synthesis failed (rc=%d)", rc)
}
return nil
}

View File

@@ -1,90 +0,0 @@
package main
import (
"bytes"
"encoding/binary"
"testing"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
func TestOmnivoiceCpp(t *testing.T) {
RegisterFailHandler(Fail)
RunSpecs(t, "omnivoice-cpp suite")
}
var _ = Describe("normalizeLanguage", func() {
DescribeTable("maps caller language to OmniVoice codes",
func(in, want string) {
Expect(normalizeLanguage(in)).To(Equal(want))
},
Entry("empty stays empty", "", ""),
Entry("english full name", "English", "en"),
Entry("chinese full name", "Chinese", "zh"),
Entry("locale suffix stripped", "en-US", "en"),
Entry("underscore locale", "zh_CN", "zh"),
Entry("already a code", "en", "en"),
Entry("unknown passes through normalized", "xx", "xx"),
)
})
var _ = Describe("parseOptions", func() {
It("extracts codec, use_fa, clamp_fp16, seed, denoise", func() {
o := parseOptions([]string{
"tokenizer:tok.gguf",
"use_fa:true",
"clamp_fp16:true",
"seed:7",
"denoise:false",
"unknown:ignored",
})
Expect(o.codecPath).To(Equal("tok.gguf"))
Expect(o.useFA).To(BeTrue())
Expect(o.clampFP16).To(BeTrue())
Expect(o.seed).To(Equal(int64(7)))
Expect(o.denoise).To(BeFalse())
})
It("accepts codec: as an alias for tokenizer:", func() {
o := parseOptions([]string{"codec:c.gguf"})
Expect(o.codecPath).To(Equal("c.gguf"))
})
It("defaults seed to -1 and denoise to true", func() {
o := parseOptions(nil)
Expect(o.seed).To(Equal(int64(-1)))
Expect(o.denoise).To(BeTrue())
})
})
var _ = Describe("wavHeader24k", func() {
It("emits a 44-byte streaming WAV header at 24 kHz mono 16-bit", func() {
h := wavHeader24k()
Expect(h).To(HaveLen(44))
Expect(string(h[0:4])).To(Equal("RIFF"))
Expect(string(h[8:12])).To(Equal("WAVE"))
Expect(string(h[12:16])).To(Equal("fmt "))
Expect(string(h[36:40])).To(Equal("data"))
var sampleRate uint32
Expect(binary.Read(bytes.NewReader(h[24:28]), binary.LittleEndian, &sampleRate)).To(Succeed())
Expect(sampleRate).To(Equal(uint32(24000)))
})
})
var _ = Describe("floatToPCM16LE", func() {
It("clamps and converts float PCM to little-endian int16 bytes", func() {
b := floatToPCM16LE([]float32{0, 1.0, -1.0, 2.0, -2.0})
Expect(b).To(HaveLen(10)) // 5 samples * 2 bytes
read := func(off int) int16 {
var v int16
_ = binary.Read(bytes.NewReader(b[off:off+2]), binary.LittleEndian, &v)
return v
}
Expect(read(0)).To(Equal(int16(0)))
Expect(read(2)).To(Equal(int16(32767)))
Expect(read(4)).To(Equal(int16(-32767)))
Expect(read(6)).To(Equal(int16(32767))) // clamped from 2.0
Expect(read(8)).To(Equal(int16(-32767))) // clamped from -2.0
})
})

View File

@@ -1,48 +0,0 @@
package main
// Note: this is started internally by LocalAI and a server is allocated for each model
import (
"flag"
"os"
"github.com/ebitengine/purego"
grpc "github.com/mudler/LocalAI/pkg/grpc"
)
var (
addr = flag.String("addr", "localhost:50051", "the address to connect to")
)
type LibFuncs struct {
FuncPtr any
Name string
}
func main() {
libName := os.Getenv("OMNIVOICE_LIBRARY")
if libName == "" {
libName = "./libgomnivoicecpp-fallback.so"
}
lib, err := purego.Dlopen(libName, purego.RTLD_NOW|purego.RTLD_GLOBAL)
if err != nil {
panic(err)
}
libFuncs := []LibFuncs{
{&CppLoad, "omni_load"},
{&CppTTS, "omni_tts"},
{&CppTTSStream, "omni_tts_stream"},
{&CppPCMFree, "omni_pcm_free"},
{&CppUnload, "omni_unload"},
}
for _, lf := range libFuncs {
purego.RegisterLibFunc(lf.FuncPtr, lib, lf.Name)
}
flag.Parse()
if err := grpc.StartServer(*addr, &OmnivoiceCpp{}); err != nil {
panic(err)
}
}

View File

@@ -1,74 +0,0 @@
package main
import (
"strconv"
"strings"
)
// loadOptions holds the parsed model-level options for OmniVoice.
type loadOptions struct {
codecPath string
useFA bool
clampFP16 bool
seed int64
denoise bool
}
func splitOption(o string) (key, value string, ok bool) {
i := strings.Index(o, ":")
if i < 0 {
return "", "", false
}
return strings.TrimSpace(o[:i]), strings.TrimSpace(o[i+1:]), true
}
// parseOptions reads the backend "key:value" option slice. Unknown keys are
// ignored. Defaults: seed -1 (engine default), denoise true.
func parseOptions(opts []string) loadOptions {
o := loadOptions{seed: -1, denoise: true}
for _, oo := range opts {
key, value, ok := splitOption(oo)
if !ok {
continue
}
switch key {
case "tokenizer", "codec":
o.codecPath = value
case "use_fa":
o.useFA = value == "true" || value == "1"
case "clamp_fp16":
o.clampFP16 = value == "true" || value == "1"
case "seed":
if n, err := strconv.ParseInt(value, 10, 64); err == nil {
o.seed = n
}
case "denoise":
o.denoise = value == "true" || value == "1"
}
}
return o
}
// languageNameAliases maps full language names to OmniVoice codes. OmniVoice's
// lang hint accepts "" (auto), "en", "zh" per the upstream convention; other
// codes pass through and the engine treats unknown hints as auto.
var languageNameAliases = map[string]string{
"english": "en",
"chinese": "zh",
}
// normalizeLanguage lowercases, trims, strips a region/locale suffix, and
// resolves common full names. Empty stays empty so the engine auto-detects.
func normalizeLanguage(lang string) string {
lang = strings.ToLower(strings.TrimSpace(lang))
if lang == "" {
return ""
}
if i := strings.IndexAny(lang, "-_."); i >= 0 {
lang = lang[:i]
}
if code, ok := languageNameAliases[lang]; ok {
return code
}
return lang
}

View File

@@ -1,64 +0,0 @@
#!/bin/bash
# Script to copy the appropriate libraries based on architecture
# This script is used in the final stage of the Dockerfile
set -e
CURDIR=$(dirname "$(realpath $0)")
REPO_ROOT="${CURDIR}/../../.."
# Create lib directory
mkdir -p $CURDIR/package/lib
cp -avf $CURDIR/omnivoice-cpp $CURDIR/package/
cp -fv $CURDIR/libgomnivoicecpp-*.so $CURDIR/package/
cp -fv $CURDIR/run.sh $CURDIR/package/
# Detect architecture and copy appropriate libraries
if [ -f "/lib64/ld-linux-x86-64.so.2" ]; then
# x86_64 architecture
echo "Detected x86_64 architecture, copying x86_64 libraries..."
cp -arfLv /lib64/ld-linux-x86-64.so.2 $CURDIR/package/lib/ld.so
cp -arfLv /lib/x86_64-linux-gnu/libc.so.6 $CURDIR/package/lib/libc.so.6
cp -arfLv /lib/x86_64-linux-gnu/libgcc_s.so.1 $CURDIR/package/lib/libgcc_s.so.1
cp -arfLv /lib/x86_64-linux-gnu/libstdc++.so.6 $CURDIR/package/lib/libstdc++.so.6
cp -arfLv /lib/x86_64-linux-gnu/libm.so.6 $CURDIR/package/lib/libm.so.6
cp -arfLv /lib/x86_64-linux-gnu/libgomp.so.1 $CURDIR/package/lib/libgomp.so.1
cp -arfLv /lib/x86_64-linux-gnu/libgcc_s.so.1 $CURDIR/package/lib/libgcc_s.so.1
cp -arfLv /lib/x86_64-linux-gnu/libstdc++.so.6 $CURDIR/package/lib/libstdc++.so.6
cp -arfLv /lib/x86_64-linux-gnu/libdl.so.2 $CURDIR/package/lib/libdl.so.2
cp -arfLv /lib/x86_64-linux-gnu/librt.so.1 $CURDIR/package/lib/librt.so.1
cp -arfLv /lib/x86_64-linux-gnu/libpthread.so.0 $CURDIR/package/lib/libpthread.so.0
elif [ -f "/lib/ld-linux-aarch64.so.1" ]; then
# ARM64 architecture
echo "Detected ARM64 architecture, copying ARM64 libraries..."
cp -arfLv /lib/ld-linux-aarch64.so.1 $CURDIR/package/lib/ld.so
cp -arfLv /lib/aarch64-linux-gnu/libc.so.6 $CURDIR/package/lib/libc.so.6
cp -arfLv /lib/aarch64-linux-gnu/libgcc_s.so.1 $CURDIR/package/lib/libgcc_s.so.1
cp -arfLv /lib/aarch64-linux-gnu/libstdc++.so.6 $CURDIR/package/lib/libstdc++.so.6
cp -arfLv /lib/aarch64-linux-gnu/libm.so.6 $CURDIR/package/lib/libm.so.6
cp -arfLv /lib/aarch64-linux-gnu/libgomp.so.1 $CURDIR/package/lib/libgomp.so.1
cp -arfLv /lib/aarch64-linux-gnu/libgcc_s.so.1 $CURDIR/package/lib/libgcc_s.so.1
cp -arfLv /lib/aarch64-linux-gnu/libstdc++.so.6 $CURDIR/package/lib/libstdc++.so.6
cp -arfLv /lib/aarch64-linux-gnu/libdl.so.2 $CURDIR/package/lib/libdl.so.2
cp -arfLv /lib/aarch64-linux-gnu/librt.so.1 $CURDIR/package/lib/librt.so.1
cp -arfLv /lib/aarch64-linux-gnu/libpthread.so.0 $CURDIR/package/lib/libpthread.so.0
elif [ $(uname -s) = "Darwin" ]; then
echo "Detected Darwin"
else
echo "Error: Could not detect architecture"
exit 1
fi
# Package GPU libraries based on BUILD_TYPE
GPU_LIB_SCRIPT="${REPO_ROOT}/scripts/build/package-gpu-libs.sh"
if [ -f "$GPU_LIB_SCRIPT" ]; then
echo "Packaging GPU libraries for BUILD_TYPE=${BUILD_TYPE:-cpu}..."
source "$GPU_LIB_SCRIPT" "$CURDIR/package/lib"
package_gpu_libs
fi
echo "Packaging completed successfully"
ls -liah $CURDIR/package/
ls -liah $CURDIR/package/lib/

View File

@@ -1,52 +0,0 @@
#!/bin/bash
set -ex
# Get the absolute current dir where the script is located
CURDIR=$(dirname "$(realpath $0)")
cd /
echo "CPU info:"
if [ "$(uname)" != "Darwin" ]; then
grep -e "model\sname" /proc/cpuinfo | head -1
grep -e "flags" /proc/cpuinfo | head -1
fi
LIBRARY="$CURDIR/libgomnivoicecpp-fallback.so"
if [ "$(uname)" != "Darwin" ]; then
if grep -q -e "\savx\s" /proc/cpuinfo ; then
echo "CPU: AVX found OK"
if [ -e $CURDIR/libgomnivoicecpp-avx.so ]; then
LIBRARY="$CURDIR/libgomnivoicecpp-avx.so"
fi
fi
if grep -q -e "\savx2\s" /proc/cpuinfo ; then
echo "CPU: AVX2 found OK"
if [ -e $CURDIR/libgomnivoicecpp-avx2.so ]; then
LIBRARY="$CURDIR/libgomnivoicecpp-avx2.so"
fi
fi
# Check avx 512
if grep -q -e "\savx512f\s" /proc/cpuinfo ; then
echo "CPU: AVX512F found OK"
if [ -e $CURDIR/libgomnivoicecpp-avx512.so ]; then
LIBRARY="$CURDIR/libgomnivoicecpp-avx512.so"
fi
fi
fi
export LD_LIBRARY_PATH=$CURDIR/lib:$LD_LIBRARY_PATH
export OMNIVOICE_LIBRARY=$LIBRARY
# If there is a lib/ld.so, use it
if [ -f $CURDIR/lib/ld.so ]; then
echo "Using lib/ld.so"
echo "Using library: $LIBRARY"
exec $CURDIR/lib/ld.so $CURDIR/omnivoice-cpp "$@"
fi
echo "Using library: $LIBRARY"
exec $CURDIR/omnivoice-cpp "$@"

View File

@@ -1,30 +0,0 @@
#!/bin/bash
set -e
CURDIR=$(dirname "$(realpath $0)")
cd "$CURDIR"
echo "Running omnivoice-cpp backend tests..."
if [ -z "$OMNIVOICE_MODEL" ]; then
MODEL_DIR="./omnivoice-models"
mkdir -p "$MODEL_DIR"
REPO_ID="Serveurperso/OmniVoice-GGUF"
BASE_URL="https://huggingface.co/${REPO_ID}/resolve/main"
FILES=( "omnivoice-base-Q4_K_M.gguf" "omnivoice-tokenizer-Q4_K_M.gguf" )
for file in "${FILES[@]}"; do
dest="${MODEL_DIR}/${file}"
if [ -f "${dest}" ]; then
echo " [skip] ${file}"
else
echo " [download] ${file}..."
curl -L -o "${dest}" "${BASE_URL}/${file}" --progress-bar
fi
done
export OMNIVOICE_MODEL="${MODEL_DIR}/omnivoice-base-Q4_K_M.gguf"
export OMNIVOICE_CODEC="${MODEL_DIR}/omnivoice-tokenizer-Q4_K_M.gguf"
fi
go test -v -timeout 1200s .
echo "All omnivoice-cpp e2e tests passed."

View File

@@ -1,11 +0,0 @@
.cache/
sources/
build/
package/
parakeet-cpp-grpc
# build artifacts staged in-tree by the Makefile (cp from sources/) or
# symlinked for local dev; the real sources live in parakeet.cpp upstream.
*.so
*.so.*
parakeet_capi.h
compile_commands.json

View File

@@ -1,96 +0,0 @@
# parakeet-cpp backend Makefile.
#
# Upstream pin lives below as PARAKEET_VERSION?=92a5f0306be354c109150fe58ae4cc4f8a21ca45
# (.github/bump_deps.sh) can find and update it - matches the
# whisper.cpp / ds4 / vibevoice-cpp convention.
#
# Local dev shortcut: if you already have an out-of-tree parakeet.cpp
# build, you can symlink the .so + header into this directory and skip
# the clone/cmake steps entirely, e.g.:
#
# ln -sf /path/to/parakeet.cpp/build-shared/libparakeet.so .
# ln -sf /path/to/parakeet.cpp/include/parakeet_capi.h .
# go build -o parakeet-cpp-grpc .
#
# That's what the L0 smoke test uses. The default target below does the
# proper clone-at-pin + cmake build so CI doesn't need a side-checkout.
PARAKEET_VERSION?=92a5f0306be354c109150fe58ae4cc4f8a21ca45
PARAKEET_REPO?=https://github.com/mudler/parakeet.cpp
GOCMD?=go
GO_TAGS?=
JOBS?=$(shell nproc 2>/dev/null || sysctl -n hw.ncpu 2>/dev/null || echo 4)
BUILD_TYPE?=
NATIVE?=false
# Build ggml statically into libparakeet.so (PIC) so the shared lib is
# self-contained: dlopen needs no libggml*.so alongside it, only system libs
# (libstdc++/libgomp/libc) that the runtime image already provides.
CMAKE_ARGS?=-DCMAKE_BUILD_TYPE=Release -DPARAKEET_SHARED=ON -DPARAKEET_BUILD_CLI=OFF -DBUILD_SHARED_LIBS=OFF -DCMAKE_POSITION_INDEPENDENT_CODE=ON
ifeq ($(NATIVE),false)
CMAKE_ARGS+=-DGGML_NATIVE=OFF
endif
# parakeet.cpp gates its GGML backends behind PARAKEET_GGML_* options and does
# set(GGML_CUDA ${PARAKEET_GGML_CUDA} CACHE BOOL "" FORCE), so a bare -DGGML_CUDA=ON
# is overwritten back to OFF and the build silently falls back to CPU. Forward the
# PARAKEET_GGML_* options instead. (openblas is not gated, so -DGGML_BLAS passes through.)
ifeq ($(BUILD_TYPE),cublas)
# GGML_CUDA_GRAPHS is OFF by ggml default; enabling it gives a small free
# speedup (~1% measured on GB10, never negative) by capturing/replaying the
# CUDA graph. Not gated by parakeet.cpp, so it passes straight through to ggml.
CMAKE_ARGS+=-DPARAKEET_GGML_CUDA=ON -DGGML_CUDA_GRAPHS=ON
else ifeq ($(BUILD_TYPE),openblas)
CMAKE_ARGS+=-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
else ifeq ($(BUILD_TYPE),hipblas)
CMAKE_ARGS+=-DPARAKEET_GGML_HIP=ON
else ifeq ($(BUILD_TYPE),vulkan)
CMAKE_ARGS+=-DPARAKEET_GGML_VULKAN=ON
endif
.PHONY: parakeet-cpp-grpc package build clean purge test all
all: parakeet-cpp-grpc
# Clone the upstream parakeet.cpp source at the pinned commit. Directory
# acts as the target so make only re-clones when missing. After a
# PARAKEET_VERSION bump, run 'make purge && make' to refetch.
sources/parakeet.cpp:
mkdir -p sources/parakeet.cpp
cd sources/parakeet.cpp && \
git init -q && \
git remote add origin $(PARAKEET_REPO) && \
git fetch --depth 1 origin $(PARAKEET_VERSION) && \
git checkout FETCH_HEAD && \
git submodule update --init --recursive --depth 1 --single-branch
# Build the shared lib + header out-of-tree, then stage them next to the
# Go sources so purego.Dlopen("libparakeet.so") and the cgo-less build
# both pick them up.
libparakeet.so: sources/parakeet.cpp
cmake -B sources/parakeet.cpp/build-shared -S sources/parakeet.cpp $(CMAKE_ARGS)
cmake --build sources/parakeet.cpp/build-shared --config Release -j$(JOBS)
cp -fv sources/parakeet.cpp/build-shared/libparakeet.so* ./ 2>/dev/null || true
cp -fv sources/parakeet.cpp/include/parakeet_capi.h ./
parakeet-cpp-grpc: libparakeet.so main.go goparakeetcpp.go
CGO_ENABLED=0 $(GOCMD) build -tags "$(GO_TAGS)" -o parakeet-cpp-grpc .
package: parakeet-cpp-grpc
bash package.sh
build: package
# Test target. Smoke test is gated on PARAKEET_BACKEND_TEST_MODEL +
# PARAKEET_BACKEND_TEST_WAV; without them the spec auto-skips.
test:
LD_LIBRARY_PATH=$(CURDIR):$$LD_LIBRARY_PATH $(GOCMD) test ./... -count=1
clean: purge
rm -rf libparakeet.so* parakeet_capi.h package parakeet-cpp-grpc
purge:
rm -rf sources/parakeet.cpp

View File

@@ -1,105 +0,0 @@
package main
import "time"
// batchRequest is one in-flight unary transcription waiting to be batched.
// In production pcm/decoder are set; tag is an opaque marker used by tests.
type batchRequest struct {
pcm []float32
decoder int32
// language is the per-request target locale ("" means the model default).
// parakeet.cpp's batched C-API takes ONE target_lang for the whole batch,
// so the dispatcher only coalesces requests that share a language.
language string
tag string
reply chan batchReply
}
// batchReply carries one per-item JSON object string (an element of the C-API's
// JSON array) or an error back to the waiting handler goroutine.
type batchReply struct {
json string
err error
}
// batcher coalesces concurrent batchRequests into batched runBatch calls. A
// single run() goroutine is the sole caller of runBatch, so runBatch (which in
// production calls the thread-unsafe C engine) is never entered concurrently.
type batcher struct {
submit chan *batchRequest
maxSize int
maxWait time.Duration
runBatch func(reqs []*batchRequest) // must deliver a reply to every req
}
func newBatcher(maxSize int, maxWait time.Duration, runBatch func([]*batchRequest)) *batcher {
if maxSize < 1 {
maxSize = 1
}
return &batcher{
submit: make(chan *batchRequest),
maxSize: maxSize,
maxWait: maxWait,
runBatch: runBatch,
}
}
// run is the dispatcher loop: accumulate submitted requests until either maxSize
// is reached or maxWait elapses since the first queued request, then dispatch.
// Exits when stop is closed (draining any partially-filled batch first).
//
// A batch carries ONE language (parakeet.cpp's batched C-API takes a single
// target_lang), so a request whose language differs from the batch leader is
// not coalesced: it is held in carry and becomes the leader of the next batch.
// carry is therefore never dropped and its caller never deadlocks: every batch
// (including a lone carry on stop) is dispatched, and runBatch replies to all.
func (b *batcher) run(stop <-chan struct{}) {
var carry *batchRequest
for {
var first *batchRequest
if carry != nil {
// A mismatched request from the previous fill leads this batch.
first, carry = carry, nil
} else {
select {
case first = <-b.submit:
case <-stop:
return
}
}
batch := []*batchRequest{first}
// maxSize==1 disables batching: dispatch immediately (passthrough).
if b.maxSize == 1 {
b.runBatch(batch)
continue
}
timer := time.NewTimer(b.maxWait)
fill:
for len(batch) < b.maxSize {
select {
case r := <-b.submit:
if r.language != first.language {
// Different language: carry it to the next batch so this
// batch stays single-language, then dispatch what we have.
carry = r
break fill
}
batch = append(batch, r)
case <-timer.C:
break fill
case <-stop:
timer.Stop()
b.runBatch(batch)
// Don't strand a carried request's caller on shutdown.
if carry != nil {
b.runBatch([]*batchRequest{carry})
}
return
}
}
timer.Stop()
b.runBatch(batch)
}
}

View File

@@ -1,164 +0,0 @@
package main
import (
"sync"
"time"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
var _ = Describe("batcher", func() {
echoReply := func(reqs []*batchRequest) {
for _, r := range reqs {
r.reply <- batchReply{json: r.tag}
}
}
It("coalesces concurrent submits into batches", func() {
var mu sync.Mutex
var sizes []int
run := func(reqs []*batchRequest) {
mu.Lock()
sizes = append(sizes, len(reqs))
mu.Unlock()
echoReply(reqs)
}
b := newBatcher(4, 50*time.Millisecond, run)
stop := make(chan struct{})
go b.run(stop)
defer close(stop)
const N = 4
var wg sync.WaitGroup
got := make([]string, N)
for i := 0; i < N; i++ {
wg.Add(1)
go func(i int) {
defer wg.Done()
rep := make(chan batchReply, 1)
b.submit <- &batchRequest{tag: string(rune('a' + i)), reply: rep}
got[i] = (<-rep).json
}(i)
}
wg.Wait()
mu.Lock()
defer mu.Unlock()
total, maxBatch := 0, 0
for _, s := range sizes {
total += s
if s > maxBatch {
maxBatch = s
}
}
Expect(total).To(Equal(N))
Expect(maxBatch).To(BeNumerically(">=", 2), "expected at least one batch to coalesce >1 request")
})
It("dispatches when max size is reached", func() {
dispatched := make(chan int, 8)
run := func(reqs []*batchRequest) {
dispatched <- len(reqs)
echoReply(reqs)
}
b := newBatcher(2, time.Hour, run) // huge window: only size can trigger
stop := make(chan struct{})
go b.run(stop)
defer close(stop)
for i := 0; i < 2; i++ {
rep := make(chan batchReply, 1)
b.submit <- &batchRequest{tag: "x", reply: rep}
go func(rep chan batchReply) { <-rep }(rep)
}
Eventually(dispatched, "2s").Should(Receive(Equal(2)))
})
It("dispatches when the wait window elapses", func() {
dispatched := make(chan int, 8)
run := func(reqs []*batchRequest) {
dispatched <- len(reqs)
echoReply(reqs)
}
b := newBatcher(8, 20*time.Millisecond, run) // size unreachable; window fires
stop := make(chan struct{})
go b.run(stop)
defer close(stop)
rep := make(chan batchReply, 1)
b.submit <- &batchRequest{tag: "x", reply: rep}
go func() { <-rep }()
Eventually(dispatched, "2s").Should(Receive(Equal(1)))
})
It("bypasses batching when max size is 1", func() {
dispatched := make(chan int, 8)
run := func(reqs []*batchRequest) {
dispatched <- len(reqs)
echoReply(reqs)
}
b := newBatcher(1, time.Hour, run) // size 1 => immediate dispatch
stop := make(chan struct{})
go b.run(stop)
defer close(stop)
rep := make(chan batchReply, 1)
b.submit <- &batchRequest{tag: "x", reply: rep}
go func() { <-rep }()
Eventually(dispatched, "2s").Should(Receive(Equal(1)))
})
It("never coalesces requests with different languages into one batch", func() {
// parakeet.cpp's batched C-API takes ONE target_lang per batch, so the
// dispatcher must keep every dispatched batch single-language. Submit a
// mix of languages and assert (a) no batch ever carries more than one
// distinct language and (b) every submitted request still gets a reply
// (the mismatched carry-over is never dropped).
var mu sync.Mutex
var langsPerBatch [][]string
run := func(reqs []*batchRequest) {
seen := map[string]struct{}{}
var distinct []string
for _, r := range reqs {
if _, ok := seen[r.language]; !ok {
seen[r.language] = struct{}{}
distinct = append(distinct, r.language)
}
}
mu.Lock()
langsPerBatch = append(langsPerBatch, distinct)
mu.Unlock()
echoReply(reqs)
}
// Large window + size so the fill loop stays open across submits and the
// language constraint (not the timer) is what splits the batches.
b := newBatcher(16, 200*time.Millisecond, run)
stop := make(chan struct{})
go b.run(stop)
defer close(stop)
langs := []string{"en", "en", "de", "de", "en", "fr", "fr"}
const N = 7
var wg sync.WaitGroup
got := make([]string, N)
for i := 0; i < N; i++ {
wg.Add(1)
go func(i int) {
defer wg.Done()
rep := make(chan batchReply, 1)
b.submit <- &batchRequest{tag: string(rune('a' + i)), language: langs[i], reply: rep}
got[i] = (<-rep).json
}(i)
}
wg.Wait()
mu.Lock()
defer mu.Unlock()
// Invariant: every dispatched batch is single-language.
for _, distinct := range langsPerBatch {
Expect(len(distinct)).To(Equal(1), "a batch coalesced more than one language: %v", distinct)
}
// Liveness: every request got a reply (carry-over never stranded).
for i := 0; i < N; i++ {
Expect(got[i]).To(Equal(string(rune('a' + i))))
}
})
})

View File

@@ -1,834 +0,0 @@
package main
import (
"context"
"encoding/json"
"errors"
"fmt"
"os"
"path/filepath"
"strconv"
"strings"
"sync"
"time"
"unsafe"
"github.com/go-audio/wav"
"github.com/mudler/LocalAI/pkg/grpc/base"
"github.com/mudler/LocalAI/pkg/grpc/grpcerrors"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
"github.com/mudler/LocalAI/pkg/utils"
"github.com/mudler/xlog"
"google.golang.org/grpc/codes"
"google.golang.org/grpc/status"
)
// purego-bound entry points from libparakeet.so. Names match
// parakeet_capi.h exactly so a `nm libparakeet.so | grep parakeet_capi`
// is enough to spot drift.
//
// Functions that return char* are declared as uintptr so we can call
// parakeet_capi_free_string on the same pointer after copying, the
// C-API contract is "caller owns and must free the returned buffer".
var (
CppAbiVersion func() int32
CppLoad func(ggufPath string) uintptr
CppFree func(ctx uintptr)
CppTranscribePath func(ctx uintptr, wavPath string, decoder int32) uintptr
CppTranscribePathJSON func(ctx uintptr, wavPath string, decoder int32) uintptr
CppFreeString func(s uintptr)
CppLastError func(ctx uintptr) string
// Batched JSON transcription: takes a concatenated float buffer of clips
// plus their per-clip sample counts (sum(nSamples)==len(samplesConcat))
// and returns a malloc'd char* JSON ARRAY of per-clip {"text","words",
// "tokens"} objects (uintptr, freed via CppFreeString). purego passes the
// Go slices as the base pointer of their backing array (kept alive for the
// call), matching the CppStreamFeed pcm []float32 binding pattern; the C
// side reads them as const float*/const int*.
CppTranscribePcmBatchJSON func(ctx uintptr, samplesConcat []float32, nSamples []int32, nClips int32, sampleRate int32, decoder int32) uintptr
// CppTranscribePcmBatchJSONLang is the multilingual variant of the batched
// JSON entry point: identical, plus a trailing target_lang. "" (the model
// default, "auto") is passed for non-prompt models, which ignore it; an
// unknown locale on a prompt model returns 0 and sets last_error. Present
// only in newer libparakeet.so; nil falls back to CppTranscribePcmBatchJSON.
CppTranscribePcmBatchJSONLang func(ctx uintptr, samplesConcat []float32, nSamples []int32, nClips int32, sampleRate int32, decoder int32, targetLang string) uintptr
// Cache-aware streaming (RNN-T) entry points. stream_begin returns 0 for
// non-streaming models. feed/finalize return a malloc'd char* (uintptr,
// freed via CppFreeString); feed writes 1 to *eouOut on an <EOU>/<EOB>.
CppStreamBegin func(ctx uintptr) uintptr
CppStreamFeed func(s uintptr, pcm []float32, nSamples int32, eouOut unsafe.Pointer) uintptr
CppStreamFinalize func(s uintptr) uintptr
CppStreamFree func(s uintptr)
// CppStreamBeginLang is the multilingual variant of stream_begin: identical,
// plus a trailing target_lang ("" means the model default). Present only in
// newer libparakeet.so; nil falls back to CppStreamBegin.
CppStreamBeginLang func(ctx uintptr, targetLang string) uintptr
// Streaming JSON variants (ABI v4): feed/finalize returning a malloc'd char*
// JSON document {text,eou,frame_sec,words} (uintptr, freed via CppFreeString)
// so streaming segments can carry per-word timestamps. Present only in newer
// libparakeet.so; nil falls back to the text-only CppStreamFeed/Finalize path.
CppStreamFeedJSON func(s uintptr, pcm []float32, nSamples int32) uintptr
CppStreamFinalizeJSON func(s uintptr) uintptr
)
// streamChunkSamples is how much 16 kHz mono PCM we hand to stream_feed per
// call (1 s). The session buffers internally and decodes once a full
// cache-aware encoder chunk is available, so this only bounds how often we
// poll for newly-finalized text, not the model's actual chunk size.
const streamChunkSamples = 16000
// transcriptJSON mirrors the document returned by
// parakeet_capi_transcribe_path_json (see parakeet_capi.h):
//
// {"text":"...",
// "words":[{"w":"...","start":0.480,"end":0.640,"conf":0.9100}, ...],
// "tokens":[{"id":123,"t":0.480,"conf":0.9100}, ...]}
//
// "start"/"end"/"t" are seconds; "conf" is confidence in (0,1].
type transcriptJSON struct {
Text string `json:"text"`
FrameSec float64 `json:"frame_sec"`
Words []transcriptWord `json:"words"`
Tokens []transcriptToken `json:"tokens"`
}
// streamFeedJSON mirrors the document returned by
// parakeet_capi_stream_feed_json / parakeet_capi_stream_finalize_json (ABI v5):
//
// {"text":"...","eou":0,"eob":0,"frame_sec":0.080000,
// "words":[{"w":"...","start":0.480,"end":0.640,"conf":0.9100}, ...]}
//
// "text" is the newly-finalized text since the last call; "eou" is 1 when an
// <EOU> (end of utterance) fired this feed and "eob" is 1 when an <EOB>
// (backchannel) fired. ABI v4 conflated the two into "eou"; v5 split them, so
// we read both and treat either as an utterance boundary for segmentation.
// "words" are the words finalized this call with absolute (stream-relative)
// start/end seconds.
type streamFeedJSON struct {
Text string `json:"text"`
Eou int `json:"eou"`
Eob int `json:"eob"`
FrameSec float64 `json:"frame_sec"`
Words []transcriptWord `json:"words"`
}
type transcriptWord struct {
W string `json:"w"`
Start float64 `json:"start"`
End float64 `json:"end"`
Conf float64 `json:"conf"`
}
type transcriptToken struct {
ID int32 `json:"id"`
T float64 `json:"t"`
Conf float64 `json:"conf"`
}
// ParakeetCpp owns a single loaded parakeet_ctx. The C engine is a
// thread-unsafe singleton (mirrors whisper.cpp / vibevoice.cpp). Rather than
// serialize every call through base.SingleThread, we route unary
// transcription through an in-process batcher (its sole dispatcher goroutine
// is the only caller of the engine on that path) and guard the shared engine
// with engineMu so a streaming session and a batched-unary dispatch never
// touch it concurrently.
type ParakeetCpp struct {
base.Base
ctxPtr uintptr
engineMu sync.Mutex // sole guard of the one C engine (dispatcher + streaming)
bat *batcher
batStop chan struct{}
// segmentGapFrames is NeMo's segment_gap_threshold in ENCODER FRAMES (model
// YAML option, default 0=off). When >0 it adds NeMo's silence-gap split on
// top of the punctuation split; converted to seconds via the JSON frame_sec.
segmentGapFrames int
}
// Load is the LocalAI gRPC entry point for LoadModel: it calls
// parakeet_capi_load with the GGUF path and stashes the resulting
// opaque context pointer for AudioTranscription.
func (p *ParakeetCpp) Load(opts *pb.ModelOptions) error {
if opts.ModelFile == "" {
return errors.New("parakeet-cpp: ModelFile is required")
}
ctx := CppLoad(opts.ModelFile)
if ctx == 0 {
// No ctx to ask for last_error (the C-API's last-error buffer
// lives on the ctx that was never returned). Surface the path
// so the operator at least knows which load failed.
return fmt.Errorf("parakeet-cpp: parakeet_capi_load failed for %q", opts.ModelFile)
}
p.ctxPtr = ctx
// Dynamic batching knobs (model YAML options:, key:value form). Batching is
// OFF by default (batch_max_size:1): each request runs on its own. On GPU,
// raising batch_max_size coalesces concurrent requests into one batched
// engine call and improves throughput under load; leave it at 1 on CPU and
// for low-concurrency setups, where batching only adds latency.
maxSize := optInt(opts, "batch_max_size", 1)
maxWaitMs := optInt(opts, "batch_max_wait_ms", 15)
if maxWaitMs < 0 {
maxWaitMs = 0
}
// NeMo's segment_gap_threshold (encoder frames, default 0=off). Off by
// default matches NeMo's default (punctuation-only segments); when set it
// additionally splits segments on inter-word silence (see transcriptResultFromDoc).
p.segmentGapFrames = optInt(opts, "segment_gap_threshold", 0)
if CppTranscribePcmBatchJSON != nil {
p.batStop = make(chan struct{})
p.bat = newBatcher(maxSize, time.Duration(maxWaitMs)*time.Millisecond, p.runBatch)
go p.bat.run(p.batStop) // dispatcher runs until Free closes batStop
if maxSize > 1 {
xlog.Info("parakeet-cpp: dynamic batching enabled",
"batch_max_size", maxSize, "batch_max_wait_ms", maxWaitMs)
} else {
xlog.Info("parakeet-cpp: dynamic batching off (batch_max_size=1); " +
"set batch_max_size>1 to coalesce concurrent requests on GPU")
}
} else {
xlog.Info("parakeet-cpp: batched C-API not present in libparakeet.so; " +
"batching disabled, using per-request transcription")
}
return nil
}
// optInt reads an integer model option (key:value form) from ModelOptions,
// returning def when absent or unparseable. The options array carries the
// model YAML's options: entries (see core/config; siblings such as
// acestep-cpp parse the same key:value form via strings.Cut on ":").
func optInt(opts *pb.ModelOptions, key string, def int) int {
for _, o := range opts.GetOptions() {
k, v, ok := strings.Cut(o, ":")
if ok && strings.TrimSpace(k) == key {
if n, err := strconv.Atoi(strings.TrimSpace(v)); err == nil {
return n
}
}
}
return def
}
// runBatch is the dispatcher's batch handler and the ONLY caller of the C
// engine on the unary path. It concatenates the batch PCM, calls the batched
// JSON C-API under engineMu, splits the JSON array, and replies to each request.
func (p *ParakeetCpp) runBatch(reqs []*batchRequest) {
// Observability: the actual coalesced batch size per engine call. Debug-level
// so it stays silent in normal operation but lets operators confirm/tune batching.
xlog.Debug("parakeet-cpp: dispatching batch", "size", len(reqs))
nSamples := make([]int32, len(reqs))
total := 0
for i, r := range reqs {
nSamples[i] = int32(len(r.pcm))
total += len(r.pcm)
}
concat := make([]float32, 0, total)
for _, r := range reqs {
concat = append(concat, r.pcm...)
}
var dec int32
if len(reqs) > 0 {
dec = reqs[0].decoder
}
// All requests in a batch share one language (the batcher coalesces only
// same-language requests), so any element's language describes the batch.
lang := ""
if len(reqs) > 0 {
lang = reqs[0].language
}
p.engineMu.Lock()
var cstr uintptr
if CppTranscribePcmBatchJSONLang != nil {
cstr = CppTranscribePcmBatchJSONLang(p.ctxPtr, concat, nSamples, int32(len(reqs)), 16000, dec, lang)
} else {
cstr = CppTranscribePcmBatchJSON(p.ctxPtr, concat, nSamples, int32(len(reqs)), 16000, dec)
}
p.engineMu.Unlock()
if cstr == 0 {
err := fmt.Errorf("parakeet-cpp: batch transcribe failed: %s", CppLastError(p.ctxPtr))
for _, r := range reqs {
r.reply <- batchReply{err: err}
}
return
}
raw := goStringFromCPtr(cstr)
CppFreeString(cstr)
var docs []json.RawMessage
if err := json.Unmarshal([]byte(raw), &docs); err != nil || len(docs) != len(reqs) {
e := fmt.Errorf("parakeet-cpp: batch json: got %d results for %d reqs (%v)", len(docs), len(reqs), err)
for _, r := range reqs {
r.reply <- batchReply{err: e}
}
return
}
for i, r := range reqs {
r.reply <- batchReply{json: string(docs[i])}
}
}
// AudioTranscription decodes the wav at opts.Dst to 16 kHz mono PCM and
// submits it to the in-process batcher, which coalesces concurrent requests
// into a single batched engine call (parakeet_capi_transcribe_pcm_batch_json)
// with the default decoder (decoder=0, which selects the right head per
// architecture: transducer for tdt/rnnt/hybrid, CTC for ctc) and shapes the
// per-word timestamps into a LocalAI TranscriptResult.
//
// Parakeet emits word- and token-level timestamps but no native segment
// boundaries, so we synthesise a single whole-clip segment spanning the first
// word start to the last word end. Word-level timings are attached only when
// the caller opts in via timestamp_granularities=["word"] (matching the
// OpenAI API, whose default is segment-level); token ids always populate
// Segment.Tokens.
//
// translate/diarize/prompt/temperature/threads are not applicable to parakeet
// and are ignored; language is honored on the batched + streaming paths (see
// opts.GetLanguage() below); streaming is handled by AudioTranscriptionStream
// (L2).
func (p *ParakeetCpp) AudioTranscription(ctx context.Context, opts *pb.TranscriptRequest) (pb.TranscriptResult, error) {
if p.ctxPtr == 0 {
return pb.TranscriptResult{}, grpcerrors.ModelNotLoaded("parakeet-cpp")
}
if opts.Dst == "" {
return pb.TranscriptResult{}, errors.New("parakeet-cpp: TranscriptRequest.dst (audio path) is required")
}
// Fallback when the batched C-API is unavailable: transcribe from a file
// path (original behavior, no batching). The C library's audio loader only
// understands 16 kHz mono WAV/PCM, so convert the input first - otherwise
// any non-WAV upload (MP3, etc.) fails with "failed to load audio". This
// mirrors what every other audio backend (whisper, crispasr) does via
// utils.AudioToWav before handing the file to the engine.
if p.bat == nil {
converted, cleanup, err := convertToWavMono16k(opts.Dst)
if err != nil {
return pb.TranscriptResult{}, err
}
defer cleanup()
cstr := CppTranscribePathJSON(p.ctxPtr, converted, 0)
if cstr == 0 {
return pb.TranscriptResult{}, fmt.Errorf("parakeet-cpp: transcribe_path_json failed: %s", CppLastError(p.ctxPtr))
}
raw := goStringFromCPtr(cstr)
CppFreeString(cstr)
var doc transcriptJSON
if err := json.Unmarshal([]byte(raw), &doc); err != nil {
return pb.TranscriptResult{}, fmt.Errorf("parakeet-cpp: decode transcript json: %w", err)
}
return transcriptResultFromDoc(doc, opts, p.segmentGapFrames), nil
}
// Batched path: decode to PCM, submit to the batcher, wait for this request's
// JSON element. The dispatcher is the sole engine caller on this path; both
// sends honour ctx cancellation.
pcm, _, err := decodeWavMono16k(opts.Dst)
if err != nil {
return pb.TranscriptResult{}, err
}
rep := make(chan batchReply, 1)
select {
case p.bat.submit <- &batchRequest{pcm: pcm, decoder: 0, language: opts.GetLanguage(), reply: rep}:
case <-ctx.Done():
return pb.TranscriptResult{}, status.Error(codes.Canceled, "transcription cancelled")
}
var res batchReply
select {
case res = <-rep:
case <-ctx.Done():
return pb.TranscriptResult{}, status.Error(codes.Canceled, "transcription cancelled")
}
if res.err != nil {
return pb.TranscriptResult{}, res.err
}
var doc transcriptJSON
if err := json.Unmarshal([]byte(res.json), &doc); err != nil {
return pb.TranscriptResult{}, fmt.Errorf("parakeet-cpp: decode transcript json: %w", err)
}
return transcriptResultFromDoc(doc, opts, p.segmentGapFrames), nil
}
// segmentSeparators is NeMo's default segment_seperators (sentence-ending
// punctuation). Splitting on these matches NeMo's default segment timestamps.
var segmentSeparators = []rune{'.', '?', '!'}
// transcriptResultFromDoc maps a decoded transcriptJSON to a TranscriptResult,
// grouping words into NeMo-faithful segments (see splitWordsIntoSegments). The
// optional gapFrames (NeMo's segment_gap_threshold, in encoder FRAMES; 0=off)
// additionally splits on inter-word silence; it is converted to a seconds gap
// with the document's frame_sec. Per-segment word timings are attached only when
// the caller requested word granularity; token ids populate each segment's
// Tokens by time-window membership. Shared by the batched and direct paths.
func transcriptResultFromDoc(doc transcriptJSON, opts *pb.TranscriptRequest, gapFrames int) pb.TranscriptResult {
text := strings.TrimSpace(doc.Text)
// Frame-unit gap threshold -> seconds (NeMo segment_gap_threshold). 0 = off.
gapSeconds := 0.0
if gapFrames > 0 {
if doc.FrameSec > 0 {
gapSeconds = float64(gapFrames) * doc.FrameSec
} else {
xlog.Warn("parakeet-cpp: segment_gap_threshold set but libparakeet.so " +
"did not report frame_sec; falling back to punctuation-only segments")
}
}
groups := splitWordsIntoSegments(doc.Words, segmentSeparators, gapSeconds)
if len(groups) == 0 {
// No words (edge case): single whole-clip text segment.
return pb.TranscriptResult{
Text: text,
Segments: []*pb.TranscriptSegment{{Id: 0, Text: text}},
}
}
wantWords := wordsRequested(opts.TimestampGranularities)
segments := make([]*pb.TranscriptSegment, 0, len(groups))
for id, group := range groups {
parts := make([]string, len(group))
for i, gw := range group {
parts[i] = gw.W
}
seg := &pb.TranscriptSegment{
Id: int32(id),
Start: secondsToNanos(group[0].Start),
End: secondsToNanos(group[len(group)-1].End),
Text: strings.TrimSpace(strings.Join(parts, " ")),
Tokens: tokensInWindow(doc.Tokens, group[0].Start, group[len(group)-1].End),
}
if wantWords {
ws := make([]*pb.TranscriptWord, len(group))
for i, gw := range group {
ws[i] = &pb.TranscriptWord{Start: secondsToNanos(gw.Start), End: secondsToNanos(gw.End), Text: gw.W}
}
seg.Words = ws
}
segments = append(segments, seg)
}
return pb.TranscriptResult{Text: text, Segments: segments}
}
// splitWordsIntoSegments groups words into segments exactly as NeMo's
// get_segment_offsets does (nemo/collections/asr/parts/utils/timestamp_utils.py).
// Walking the words, it closes a segment when (1) the gap rule is enabled
// (gapSeconds > 0) and the segment already has words and the gap from the
// previous word's end to this word's start is >= gapSeconds - the current word
// then STARTS a new segment - or, checked only when the gap rule did not apply
// (NeMo's elif), (2) the word ends with (or is) a separator, which closes the
// segment INCLUDING that word. Trailing words flush into a final segment.
// gapSeconds <= 0 disables the gap rule, matching NeMo's default
// segment_gap_threshold=None (punctuation-only segments).
func splitWordsIntoSegments(words []transcriptWord, separators []rune, gapSeconds float64) [][]transcriptWord {
var segments [][]transcriptWord
var cur []transcriptWord
for i, word := range words {
gapActive := gapSeconds > 0 && len(cur) > 0
if gapActive && (word.Start-words[i-1].End) >= gapSeconds {
segments = append(segments, cur)
cur = []transcriptWord{word}
continue
}
if !gapActive && endsWithSeparator(word.W, separators) {
cur = append(cur, word)
segments = append(segments, cur)
cur = nil
continue
}
cur = append(cur, word)
}
if len(cur) > 0 {
segments = append(segments, cur)
}
return segments
}
// endsWithSeparator reports whether w's last rune is in separators (matching
// NeMo's `word[-1] in delims or word in delims`).
func endsWithSeparator(w string, separators []rune) bool {
r := []rune(strings.TrimSpace(w))
if len(r) == 0 {
return false
}
last := r[len(r)-1]
for _, s := range separators {
if last == s {
return true
}
}
return false
}
// tokensInWindow returns the ids of tokens whose timestamp t falls in
// [start, end] (inclusive), assigning each token to the segment that spans its
// time. The last segment's end is the last word end, so the final token is
// included.
func tokensInWindow(tokens []transcriptToken, start, end float64) []int32 {
var ids []int32
for _, t := range tokens {
if t.T >= start && t.T <= end {
ids = append(ids, t.ID)
}
}
return ids
}
// streamSegmenter accumulates streaming words into per-utterance segments. EOU
// is the model's own utterance boundary; each closed segment takes its start/end
// from its first/last accumulated word.
type streamSegmenter struct {
segs []*pb.TranscriptSegment
cur []transcriptWord
nextID int32
}
func (s *streamSegmenter) add(doc streamFeedJSON) {
s.cur = append(s.cur, doc.Words...)
// Close the segment on either turn signal: <EOU> (end of utterance) or
// <EOB> (backchannel). ABI v4 reported both via "eou"; v5 split them, so we
// OR them here to keep the v4 segmentation boundaries.
if doc.Eou != 0 || doc.Eob != 0 {
s.flush()
}
}
func (s *streamSegmenter) flush() {
if len(s.cur) == 0 {
return
}
parts := make([]string, len(s.cur))
for i, w := range s.cur {
parts[i] = w.W
}
s.segs = append(s.segs, &pb.TranscriptSegment{
Id: s.nextID,
Start: secondsToNanos(s.cur[0].Start),
End: secondsToNanos(s.cur[len(s.cur)-1].End),
Text: strings.TrimSpace(strings.Join(parts, " ")),
})
s.nextID++
s.cur = nil
}
func (s *streamSegmenter) segments() []*pb.TranscriptSegment { return s.segs }
// wordsRequested reports whether the caller asked for word-level timestamps.
// The OpenAI transcription API gates word timings behind
// timestamp_granularities[] containing "word" and defaults to segment-level
// otherwise; we follow that contract.
func wordsRequested(granularities []string) bool {
for _, g := range granularities {
if strings.EqualFold(strings.TrimSpace(g), "word") {
return true
}
}
return false
}
// secondsToNanos converts the C-API's fractional-second timestamps into the
// int64 nanoseconds LocalAI carries on TranscriptSegment/TranscriptWord, the
// same nanosecond convention the whisper backend uses.
func secondsToNanos(sec float64) int64 {
return int64(sec * 1e9)
}
// AudioTranscriptionStream drives the cache-aware streaming RNN-T over the
// audio at opts.Dst: it decodes the file to 16 kHz mono PCM, feeds it in
// chunks to parakeet_capi_stream_feed, and emits each newly-finalized text
// run as a TranscriptStreamResponse delta. <EOU>/<EOB> events close the
// current segment; a closing FinalResult carries the full transcript and the
// per-utterance segments.
//
// stream_begin returns 0 for models that are not cache-aware streaming models
// (only e.g. nvidia/parakeet_realtime_eou_120m-v1 qualifies). For those we fall
// back to a single offline transcription emitted as one delta plus a closing
// FinalResult, matching LocalAI's non-streaming streaming contract (and the
// whisper backend), so the streaming endpoint works for every model.
func (p *ParakeetCpp) AudioTranscriptionStream(ctx context.Context, opts *pb.TranscriptRequest, results chan *pb.TranscriptStreamResponse) error {
defer close(results)
if p.ctxPtr == 0 {
return grpcerrors.ModelNotLoaded("parakeet-cpp")
}
if opts.Dst == "" {
return errors.New("parakeet-cpp: TranscriptRequest.dst (audio path) is required")
}
if err := ctx.Err(); err != nil {
return status.Error(codes.Canceled, "transcription cancelled")
}
var stream uintptr
if CppStreamBeginLang != nil {
stream = CppStreamBeginLang(p.ctxPtr, opts.GetLanguage())
} else {
stream = CppStreamBegin(p.ctxPtr)
}
if stream == 0 {
// Not a cache-aware streaming model: run a normal offline
// transcription and emit it as one delta + a closing final result.
res, err := p.AudioTranscription(ctx, opts)
if err != nil {
return err
}
if t := strings.TrimSpace(res.Text); t != "" {
results <- &pb.TranscriptStreamResponse{Delta: t}
}
results <- &pb.TranscriptStreamResponse{FinalResult: &res}
return nil
}
defer CppStreamFree(stream)
// The C engine is a single shared context: a streaming session and a batched
// unary dispatch must never touch it at once, so hold engineMu for the whole
// stream. This lock is intentionally taken AFTER the non-streaming fallback
// above returns: that fallback goes through AudioTranscription -> the batcher
// -> runBatch, which itself acquires engineMu, so locking here first would
// deadlock. Do not hoist this lock above the fallback.
p.engineMu.Lock()
defer p.engineMu.Unlock()
data, duration, err := decodeWavMono16k(opts.Dst)
if err != nil {
return err
}
// ABI v4: when the streaming JSON entry points are present, drive them so the
// per-utterance segments carry per-word start/end timestamps. Falls through to
// the text-only loop below against an older libparakeet.so. Runs under the
// engineMu already held above.
if CppStreamFeedJSON != nil {
return p.streamJSON(ctx, stream, data, duration, results)
}
var (
full strings.Builder
segText strings.Builder
segments []*pb.TranscriptSegment
segID int32
)
flushSegment := func() {
t := strings.TrimSpace(segText.String())
segText.Reset()
if t == "" {
return
}
segments = append(segments, &pb.TranscriptSegment{Id: segID, Text: t})
segID++
}
// emitDelta consumes the malloc'd char* returned by feed/finalize: frees
// it, accumulates the text, and sends a delta when non-empty. A 0 return
// is an error (vs the "" empty-but-non-NULL no-new-text case).
emitDelta := func(ret uintptr) error {
if ret == 0 {
msg := CppLastError(p.ctxPtr)
if msg == "" {
msg = "unknown error"
}
return fmt.Errorf("parakeet-cpp: stream feed/finalize failed: %s", msg)
}
delta := goStringFromCPtr(ret)
CppFreeString(ret)
if delta == "" {
return nil
}
full.WriteString(delta)
segText.WriteString(delta)
results <- &pb.TranscriptStreamResponse{Delta: delta}
return nil
}
for off := 0; off < len(data); off += streamChunkSamples {
if err := ctx.Err(); err != nil {
return status.Error(codes.Canceled, "transcription cancelled")
}
end := min(off+streamChunkSamples, len(data))
chunk := data[off:end]
var eou int32
ret := CppStreamFeed(stream, chunk, int32(len(chunk)), unsafe.Pointer(&eou))
if err := emitDelta(ret); err != nil {
return err
}
if eou != 0 {
flushSegment()
}
}
// Flush the streaming tail (final encoder chunk).
if err := emitDelta(CppStreamFinalize(stream)); err != nil {
return err
}
flushSegment()
text := strings.TrimSpace(full.String())
if len(segments) == 0 && text != "" {
segments = append(segments, &pb.TranscriptSegment{Id: 0, Text: text})
}
results <- &pb.TranscriptStreamResponse{
FinalResult: &pb.TranscriptResult{
Text: text,
Segments: segments,
Duration: duration,
},
}
return nil
}
// streamJSON drives the streaming JSON entry points (present since ABI v4): each
// feed/finalize returns a {text,eou,eob,frame_sec,words} document. The
// newly-finalized text is emitted as a delta (unchanged streaming contract)
// while words are accumulated into per-utterance segments (closed on <EOU> or
// <EOB>) so the closing FinalResult carries timestamped segments. Runs under
// engineMu (already held by the caller).
func (p *ParakeetCpp) streamJSON(ctx context.Context, stream uintptr, data []float32,
duration float32, results chan *pb.TranscriptStreamResponse) error {
var (
full strings.Builder
seg streamSegmenter
)
// consume frees the malloc'd char* (a 0 return is an error), parses the JSON,
// emits the delta, and routes words through the segmenter.
consume := func(ret uintptr) error {
if ret == 0 {
msg := CppLastError(p.ctxPtr)
if msg == "" {
msg = "unknown error"
}
return fmt.Errorf("parakeet-cpp: stream feed/finalize failed: %s", msg)
}
raw := goStringFromCPtr(ret)
CppFreeString(ret)
var doc streamFeedJSON
if err := json.Unmarshal([]byte(raw), &doc); err != nil {
return fmt.Errorf("parakeet-cpp: decode stream json: %w", err)
}
if doc.Text != "" {
full.WriteString(doc.Text)
results <- &pb.TranscriptStreamResponse{Delta: doc.Text}
}
seg.add(doc)
return nil
}
for off := 0; off < len(data); off += streamChunkSamples {
if err := ctx.Err(); err != nil {
return status.Error(codes.Canceled, "transcription cancelled")
}
end := min(off+streamChunkSamples, len(data))
chunk := data[off:end]
if err := consume(CppStreamFeedJSON(stream, chunk, int32(len(chunk)))); err != nil {
return err
}
}
if err := consume(CppStreamFinalizeJSON(stream)); err != nil {
return err
}
seg.flush() // close any trailing utterance that never saw an EOU
text := strings.TrimSpace(full.String())
segments := seg.segments()
if len(segments) == 0 && text != "" {
segments = append(segments, &pb.TranscriptSegment{Id: 0, Text: text})
}
results <- &pb.TranscriptStreamResponse{
FinalResult: &pb.TranscriptResult{
Text: text,
Segments: segments,
Duration: duration,
},
}
return nil
}
// decodeWavMono16k converts any input audio to 16 kHz mono PCM and returns the
// float samples plus the clip duration in seconds. Mirrors the whisper
// backend: utils.AudioToWav (ffmpeg) normalises rate/channels, go-audio
// decodes the PCM.
// convertToWavMono16k converts an arbitrary audio file to a 16 kHz mono WAV in
// a fresh temp dir and returns the path together with a cleanup func the caller
// must defer. WAV inputs already at 16 kHz/mono/16-bit are passed through by
// utils.AudioToWav (hardlink/copy), everything else is transcoded via ffmpeg.
// Used by the direct (non-batched) transcription path, which hands a file path
// to the C library's WAV-only audio loader.
func convertToWavMono16k(path string) (string, func(), error) {
dir, err := os.MkdirTemp("", "parakeet")
if err != nil {
return "", func() {}, err
}
cleanup := func() { _ = os.RemoveAll(dir) }
converted := filepath.Join(dir, "converted.wav")
if err := utils.AudioToWav(path, converted); err != nil {
cleanup()
return "", func() {}, err
}
return converted, cleanup, nil
}
func decodeWavMono16k(path string) ([]float32, float32, error) {
converted, cleanup, err := convertToWavMono16k(path)
if err != nil {
return nil, 0, err
}
defer cleanup()
fh, err := os.Open(converted)
if err != nil {
return nil, 0, err
}
defer func() { _ = fh.Close() }()
buf, err := wav.NewDecoder(fh).FullPCMBuffer()
if err != nil {
return nil, 0, err
}
data := buf.AsFloat32Buffer().Data
var duration float32
if buf.Format != nil && buf.Format.SampleRate > 0 {
duration = float32(len(data)) / float32(buf.Format.SampleRate)
}
return data, duration, nil
}
// Free releases the underlying parakeet_ctx. Called by LocalAI when the
// model is unloaded.
func (p *ParakeetCpp) Free() error {
// Stop the dispatcher before releasing the engine so no in-flight runBatch
// can touch a freed ctx (close leak / use-after-free on reload).
if p.batStop != nil {
close(p.batStop)
p.batStop = nil
}
if p.ctxPtr != 0 {
CppFree(p.ctxPtr)
p.ctxPtr = 0
}
return nil
}
// goStringFromCPtr copies a NUL-terminated C string into Go memory.
// cptr is the raw pointer returned by purego from the C-API (a malloc'd
// buffer the caller owns); callers must free it via CppFreeString after
// the copy lands.
//
// The uintptr->unsafe.Pointer conversion below trips go vet's unsafeptr
// check, which can't distinguish a C-owned heap pointer from Go-managed
// memory. It is safe here: the pointer addresses a malloc'd C buffer the
// Go GC neither tracks nor moves, and we dereference it immediately to
// copy the bytes out, the same pattern (and the same tolerated warning)
// as the whisper backend's unsafe.Slice over segsPtr.
func goStringFromCPtr(cptr uintptr) string {
if cptr == 0 {
return ""
}
p := unsafe.Pointer(cptr) //nolint:govet // C-owned malloc'd buffer, not Go-GC memory (see doc above)
n := 0
for *(*byte)(unsafe.Add(p, n)) != 0 {
n++
}
return string(unsafe.Slice((*byte)(p), n))
}

View File

@@ -1,247 +0,0 @@
package main
import (
"context"
"os"
"path/filepath"
"strings"
"sync"
"testing"
"github.com/ebitengine/purego"
"github.com/go-audio/audio"
"github.com/go-audio/wav"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
func TestParakeetCpp(t *testing.T) {
RegisterFailHandler(Fail)
RunSpecs(t, "parakeet-cpp Backend Suite")
}
var (
libLoadOnce sync.Once
libLoadErr error
)
// ensureLibLoaded mirrors main.go's bootstrap so a Go test can drive
// the C-API bridge without spinning up the gRPC server. Skips the
// current spec when libparakeet.so isn't loadable from cwd
// ($LD_LIBRARY_PATH or a symlink in ./).
func ensureLibLoaded() {
libLoadOnce.Do(func() {
libName := os.Getenv("PARAKEET_LIBRARY")
if libName == "" {
libName = "libparakeet.so"
}
lib, err := purego.Dlopen(libName, purego.RTLD_NOW|purego.RTLD_GLOBAL)
if err != nil {
libLoadErr = err
return
}
purego.RegisterLibFunc(&CppAbiVersion, lib, "parakeet_capi_abi_version")
purego.RegisterLibFunc(&CppLoad, lib, "parakeet_capi_load")
purego.RegisterLibFunc(&CppFree, lib, "parakeet_capi_free")
purego.RegisterLibFunc(&CppTranscribePath, lib, "parakeet_capi_transcribe_path")
purego.RegisterLibFunc(&CppTranscribePathJSON, lib, "parakeet_capi_transcribe_path_json")
if sym, err := purego.Dlsym(lib, "parakeet_capi_transcribe_pcm_batch_json"); err == nil && sym != 0 {
purego.RegisterLibFunc(&CppTranscribePcmBatchJSON, lib, "parakeet_capi_transcribe_pcm_batch_json")
}
purego.RegisterLibFunc(&CppStreamBegin, lib, "parakeet_capi_stream_begin")
purego.RegisterLibFunc(&CppStreamFeed, lib, "parakeet_capi_stream_feed")
purego.RegisterLibFunc(&CppStreamFinalize, lib, "parakeet_capi_stream_finalize")
purego.RegisterLibFunc(&CppStreamFree, lib, "parakeet_capi_stream_free")
if sym, err := purego.Dlsym(lib, "parakeet_capi_stream_feed_json"); err == nil && sym != 0 {
purego.RegisterLibFunc(&CppStreamFeedJSON, lib, "parakeet_capi_stream_feed_json")
purego.RegisterLibFunc(&CppStreamFinalizeJSON, lib, "parakeet_capi_stream_finalize_json")
}
purego.RegisterLibFunc(&CppFreeString, lib, "parakeet_capi_free_string")
purego.RegisterLibFunc(&CppLastError, lib, "parakeet_capi_last_error")
})
if libLoadErr != nil {
Skip("libparakeet.so not loadable: " + libLoadErr.Error())
}
}
// fixturesOrSkip returns the model + audio paths or skips the spec if
// either env var is unset. The smoke test never runs in default CI; it
// needs a real parakeet GGUF and a 16 kHz mono WAV on disk.
func fixturesOrSkip() (string, string) {
modelPath := os.Getenv("PARAKEET_BACKEND_TEST_MODEL")
audioPath := os.Getenv("PARAKEET_BACKEND_TEST_WAV")
if modelPath == "" || audioPath == "" {
Skip("set PARAKEET_BACKEND_TEST_MODEL and PARAKEET_BACKEND_TEST_WAV to run this spec")
}
return modelPath, audioPath
}
// writeMono16kWav writes `samples` frames of 16 kHz mono 16-bit silence to
// path. The result is already in AudioToWav's target format, so the conversion
// helper copies it through without invoking ffmpeg.
func writeMono16kWav(path string, samples int) {
GinkgoHelper()
f, err := os.Create(path)
Expect(err).ToNot(HaveOccurred())
enc := wav.NewEncoder(f, 16000, 16, 1, 1)
buf := &audio.IntBuffer{
Format: &audio.Format{NumChannels: 1, SampleRate: 16000},
SourceBitDepth: 16,
Data: make([]int, samples),
}
Expect(enc.Write(buf)).To(Succeed())
Expect(enc.Close()).To(Succeed())
Expect(f.Close()).To(Succeed())
}
var _ = Describe("ParakeetCpp", func() {
Context("AudioTranscription", func() {
It("transcribes a WAV via the parakeet C-API", func() {
modelPath, audioPath := fixturesOrSkip()
ensureLibLoaded()
p := &ParakeetCpp{}
Expect(p.Load(&pb.ModelOptions{ModelFile: modelPath})).To(Succeed())
defer func() { _ = p.Free() }()
res, err := p.AudioTranscription(context.Background(), &pb.TranscriptRequest{
Dst: audioPath,
})
Expect(err).ToNot(HaveOccurred())
Expect(strings.TrimSpace(res.Text)).ToNot(BeEmpty(),
"expected non-empty transcript for %s", audioPath)
// NeMo-faithful segmentation: one or more punctuation-delimited
// segments, each with text and a monotonically-advancing time span.
Expect(res.Segments).ToNot(BeEmpty(), "expected at least one segment")
var prevEnd int64
for i, seg := range res.Segments {
Expect(strings.TrimSpace(seg.Text)).ToNot(BeEmpty(),
"segment %d must have text", i)
Expect(seg.End).To(BeNumerically(">=", seg.Start),
"segment %d end must not precede its start", i)
Expect(seg.Start).To(BeNumerically(">=", prevEnd),
"segments must be in time order")
prevEnd = seg.End
// Default (no granularities) is segment-level: no per-word timings.
Expect(seg.Words).To(BeEmpty(),
"word timings are opt-in via timestamp_granularities")
}
})
It("emits word-level timestamps when granularity=word", func() {
modelPath, audioPath := fixturesOrSkip()
ensureLibLoaded()
p := &ParakeetCpp{}
Expect(p.Load(&pb.ModelOptions{ModelFile: modelPath})).To(Succeed())
defer func() { _ = p.Free() }()
res, err := p.AudioTranscription(context.Background(), &pb.TranscriptRequest{
Dst: audioPath,
TimestampGranularities: []string{"word"},
})
Expect(err).ToNot(HaveOccurred())
Expect(res.Segments).ToNot(BeEmpty())
// With word granularity every segment carries its own words, and each
// segment's span tracks its first/last word; word starts advance
// monotonically across the whole transcript.
totalWords := 0
var prevStart int64 = -1
for i, seg := range res.Segments {
Expect(seg.Words).ToNot(BeEmpty(),
"segment %d must carry per-word timestamps with granularity=word", i)
Expect(seg.Start).To(Equal(seg.Words[0].Start),
"segment %d start tracks its first word", i)
Expect(seg.End).To(Equal(seg.Words[len(seg.Words)-1].End),
"segment %d end tracks its last word", i)
for _, w := range seg.Words {
Expect(w.End).To(BeNumerically(">=", w.Start))
Expect(w.Start).To(BeNumerically(">=", prevStart))
prevStart = w.Start
totalWords++
}
}
Expect(totalWords).To(BeNumerically(">", 0))
Expect(res.Segments[0].Words[0].Start).To(BeNumerically(">=", int64(0)))
})
})
Context("convertToWavMono16k", func() {
// The non-batched transcription path hands a file path to the C
// library's WAV-only audio loader, so it must convert first.
// utils.AudioToWav passes an already-16kHz/mono/16-bit WAV through
// without ffmpeg, which lets us exercise the helper (and the
// regression: the direct path used to skip conversion entirely)
// without a model, the C library, or ffmpeg.
It("returns a decodable 16kHz mono WAV copy and cleans it up", func() {
dir := GinkgoT().TempDir()
src := filepath.Join(dir, "input.wav")
writeMono16kWav(src, 16000) // 1s of silence at 16 kHz
converted, cleanup, err := convertToWavMono16k(src)
Expect(err).ToNot(HaveOccurred())
// It must produce a fresh temp file, not return the original path.
Expect(converted).ToNot(Equal(src))
Expect(converted).To(BeAnExistingFile())
pcm, _, err := decodeWavMono16k(converted)
Expect(err).ToNot(HaveOccurred())
Expect(pcm).To(HaveLen(16000), "round-trips the sample count")
cleanup()
Expect(converted).ToNot(BeAnExistingFile(), "cleanup removes the temp dir")
})
It("errors on a non-existent input rather than passing the path through", func() {
_, _, err := convertToWavMono16k(filepath.Join(GinkgoT().TempDir(), "missing.mp3"))
Expect(err).To(HaveOccurred())
})
})
Context("AudioTranscriptionStream", func() {
It("streams deltas and a closing FinalResult from a cache-aware model", func() {
// Streaming needs a cache-aware streaming model (e.g.
// realtime_eou); the offline test model would fail stream_begin.
modelPath := os.Getenv("PARAKEET_BACKEND_TEST_STREAM_MODEL")
audioPath := os.Getenv("PARAKEET_BACKEND_TEST_WAV")
if modelPath == "" || audioPath == "" {
Skip("set PARAKEET_BACKEND_TEST_STREAM_MODEL (cache-aware streaming model) and PARAKEET_BACKEND_TEST_WAV")
}
ensureLibLoaded()
p := &ParakeetCpp{}
Expect(p.Load(&pb.ModelOptions{ModelFile: modelPath})).To(Succeed())
defer func() { _ = p.Free() }()
results := make(chan *pb.TranscriptStreamResponse, 64)
errCh := make(chan error, 1)
go func() {
errCh <- p.AudioTranscriptionStream(context.Background(),
&pb.TranscriptRequest{Dst: audioPath}, results)
}()
var deltas []string
var final *pb.TranscriptResult
for r := range results {
if r.Delta != "" {
deltas = append(deltas, r.Delta)
}
if r.FinalResult != nil {
final = r.FinalResult
}
}
Expect(<-errCh).ToNot(HaveOccurred())
Expect(final).ToNot(BeNil(), "expected a closing FinalResult")
Expect(strings.TrimSpace(final.Text)).ToNot(BeEmpty(),
"expected a non-empty streamed transcript")
Expect(final.Segments).ToNot(BeEmpty(),
"FinalResult always carries at least one segment")
// The concatenated deltas reconstruct the final transcript.
Expect(strings.TrimSpace(strings.Join(deltas, ""))).To(Equal(strings.TrimSpace(final.Text)),
"deltas should reconstruct the final text")
})
})
})

View File

@@ -1,94 +0,0 @@
package main
// Started internally by LocalAI - one gRPC server per loaded model.
//
// Loads libparakeet.so via purego and registers the flat C-API entry
// points declared in parakeet_capi.h. The library name can be overridden
// with PARAKEET_LIBRARY (mirrors the WHISPER_LIBRARY / VIBEVOICECPP_LIBRARY
// convention in the sibling backends); the default looks for the .so next
// to this binary.
import (
"flag"
"fmt"
"os"
"github.com/ebitengine/purego"
grpc "github.com/mudler/LocalAI/pkg/grpc"
)
var (
addr = flag.String("addr", "localhost:50051", "the address to connect to")
)
type LibFuncs struct {
FuncPtr any
Name string
}
func main() {
libName := os.Getenv("PARAKEET_LIBRARY")
if libName == "" {
libName = "libparakeet.so"
}
lib, err := purego.Dlopen(libName, purego.RTLD_NOW|purego.RTLD_GLOBAL)
if err != nil {
panic(fmt.Errorf("parakeet-cpp: dlopen %q: %w", libName, err))
}
// Bound 1:1 to parakeet_capi.h. The C-API returns malloc'd char*
// buffers from transcribe_*; we register those as uintptr so we get
// the raw pointer back and can call parakeet_capi_free_string on it
// (purego's string return would copy and forget the original pointer,
// leaking it on every call).
libFuncs := []LibFuncs{
{&CppAbiVersion, "parakeet_capi_abi_version"},
{&CppLoad, "parakeet_capi_load"},
{&CppFree, "parakeet_capi_free"},
{&CppTranscribePath, "parakeet_capi_transcribe_path"},
{&CppTranscribePathJSON, "parakeet_capi_transcribe_path_json"},
{&CppStreamBegin, "parakeet_capi_stream_begin"},
{&CppStreamFeed, "parakeet_capi_stream_feed"},
{&CppStreamFinalize, "parakeet_capi_stream_finalize"},
{&CppStreamFree, "parakeet_capi_stream_free"},
{&CppFreeString, "parakeet_capi_free_string"},
{&CppLastError, "parakeet_capi_last_error"},
}
for _, lf := range libFuncs {
purego.RegisterLibFunc(lf.FuncPtr, lib, lf.Name)
}
// The batched-JSON entry point exists only in newer libparakeet.so (ABI >= 2).
// Probe with Dlsym and register only if present, so the backend still loads
// against an older library (it falls back to per-request transcription).
if sym, err := purego.Dlsym(lib, "parakeet_capi_transcribe_pcm_batch_json"); err == nil && sym != 0 {
purego.RegisterLibFunc(&CppTranscribePcmBatchJSON, lib, "parakeet_capi_transcribe_pcm_batch_json")
}
// Per-request language variants (multilingual nemotron). Same probe pattern:
// present only in libparakeet.so built with multilingual support, so the
// backend still loads against an older library and falls back to the
// non-lang batched + streaming entry points (model default / "auto").
if sym, err := purego.Dlsym(lib, "parakeet_capi_transcribe_pcm_batch_json_lang"); err == nil && sym != 0 {
purego.RegisterLibFunc(&CppTranscribePcmBatchJSONLang, lib, "parakeet_capi_transcribe_pcm_batch_json_lang")
}
if sym, err := purego.Dlsym(lib, "parakeet_capi_stream_begin_lang"); err == nil && sym != 0 {
purego.RegisterLibFunc(&CppStreamBeginLang, lib, "parakeet_capi_stream_begin_lang")
}
// Streaming JSON entry points (ABI v4): surface per-word timestamps on the
// streaming path. Same probe pattern; absent in older libparakeet.so, where
// the backend falls back to the text-only streaming feed.
if sym, err := purego.Dlsym(lib, "parakeet_capi_stream_feed_json"); err == nil && sym != 0 {
purego.RegisterLibFunc(&CppStreamFeedJSON, lib, "parakeet_capi_stream_feed_json")
purego.RegisterLibFunc(&CppStreamFinalizeJSON, lib, "parakeet_capi_stream_finalize_json")
}
fmt.Fprintf(os.Stderr, "[parakeet-cpp] ABI=%d\n", CppAbiVersion())
flag.Parse()
if err := grpc.StartServer(*addr, &ParakeetCpp{}); err != nil {
panic(err)
}
}

Some files were not shown because too many files have changed in this diff Show More