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test/distributed-e2e-ci
9
Commits
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c50b46996c |
chore: ⬆️ Update antirez/ds4 to a04f46fa423e45712c8c7e430eff422479f314a3 (#12013)
* ⬆️ Update antirez/ds4 Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> * fix(ds4): link engram support in GPU builds The bumped ds4 engine moved DeepSeek v4.1 engram helpers into a new object. Build and link that object for CUDA and Metal while retaining the upstream CPU object set. Assisted-by: Codex:gpt-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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f94ce520ce |
chore: ⬆️ Update antirez/ds4 to 9ab705347c1775e7599ede7eb81a6255ec7dccb5 (#11808)
* ⬆️ Update antirez/ds4 Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> * fix(ds4): link upstream image helpers The ds4 bump adds vision calls to the engine object. Link the new image preprocessing object into every backend target. Assisted-by: Codex:gpt-5 --------- Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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137dfcf15a |
chore: ⬆️ Update antirez/ds4 to b7e9f0091139999b6c070a57590c447c5741da5c (#11333)
* ⬆️ Update antirez/ds4 Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> * fix(ds4): link upstream CUDA MMQ objects The updated ds4 CUDA object now calls into the vendored MMQ implementation. Build and link those objects into both the gRPC server and distributed worker. Assisted-by: Codex:gpt-5 [Codex] --------- Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com> Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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3584e0776d |
chore: ⬆️ Update antirez/ds4 to efdadd41e20134af4f3381e1ed90e96fe4faef6f (#11010)
* ⬆️ Update antirez/ds4 Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> * fix(ds4): link new tensor parallel objects The updated ds4 revision split tensor-parallel transport and layer placement into separate translation units. Build and link those objects on CPU, CUDA, and Metal builds. Assisted-by: Codex:gpt-5 --------- Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com> Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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6b9f1bd4b3 |
chore: ⬆️ Update antirez/ds4 to e34a8086693ba7ca5cfabd2b9028ee52f0bfac2e (#10350)
* ⬆️ Update antirez/ds4 Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> * fix(ds4): add Homebrew include/lib prefix for Darwin grpc-proto build The darwin/metal ds4 backend job runs for the first time on this bump (it was skipped on prior ds4 PRs) and fails compiling backend.pb.cc with 'google/protobuf/runtime_version.h' file not found. hw_grpc_proto links neither protobuf::libprotobuf nor gRPC::grpc++, so the generated proto sources rely on default system include paths. That works on Linux (/usr/include) but not on macOS, where Homebrew installs under /opt/homebrew. Add the Homebrew prefix to include/link dirs on Darwin, mirroring the llama-cpp backend that already builds on Darwin CI. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] * fix(ds4): install nlohmann-json on Darwin CI for ds4 backend After the protobuf include-path fix the ds4 darwin build advances to compiling dsml_renderer.cpp, which includes <nlohmann/json.hpp> and #errors when absent. On Linux the header comes from apt nlohmann-json3-dev in the build image; the macOS runner had no equivalent. Add the header-only nlohmann-json formula to the shared Darwin backend brew install/link list and Homebrew cache, alongside the existing deps. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] * fix(ds4): build proper OCI image tar for Darwin backend The darwin packaging referenced scripts/build/oci-pack.sh, which was never added to the tree, so it fell back to a plain 'tar' that omits manifest.json. 'local-ai backends install' then rejects the tarball with 'file manifest.json not found in tar'. Use './local-ai util create-oci-image' (already built by the 'build' prerequisite of the backends/ds4-darwin target), mirroring llama-cpp-darwin.sh, to emit a real OCI image the installer accepts. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] --------- Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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337acc4c37 |
chore: ⬆️ Update antirez/ds4 to c463029c205c2ec8d7ab6c0df4a3f52979091286 (#10189)
* ⬆️ Update antirez/ds4 Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> * fix(ds4): link ds4_ssd.o into the backend build Upstream antirez/ds4 splits the SSD expert-cache into its own ds4_ssd.c translation unit, whose symbols (ds4_ssd_memory_lock_acquire/release, ds4_ssd_cache_experts_for_byte_budget, ds4_ssd_auto_cache_plan) are referenced by ds4.c/ds4_cpu.o. The dependency-bump automation regenerated this branch from clean master and dropped the prior linkage fix, so the cpu-ds4 / cublas-ds4 backend builds fail again with undefined references. Re-apply the ds4_ssd.o linkage GPU-agnostically (mirroring ds4_distributed.o) in both the backend Makefile (DS4_OBJ_TARGET + the engine-object build rule for every GPU mode) and CMakeLists.txt (list(APPEND DS4_OBJS ds4_ssd.o)). Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:opus-4.8 [Claude Code] --------- Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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LocalAI [bot]andEttore Di Giacinto
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07f6c15a37 |
feat(ds4): layer-split distributed inference (#10098)
* feat(ds4): add standalone ds4-worker distributed worker binary Add worker_main.c, a minimal standalone worker that owns a slice of the model's transformer layers and serves activations over ds4's own TCP transport via ds4_dist_run(). It links the same engine objects the backend already builds (including ds4_distributed.o) and has NO gRPC/protobuf dependency, so it builds even on hosts lacking protobuf/grpc dev headers. Launched by `local-ai worker ds4-distributed`. Wire the ds4-worker CMake target (mirrors grpc-server's object/GPU/native handling) and have the Makefile copy + clean the binary alongside grpc-server. Ignore the built ds4-worker artifact. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] * feat(ds4): package ds4-worker alongside grpc-server Copy the standalone ds4-worker binary into the backend package (Linux package.sh) and the Darwin OCI tar (ds4-darwin.sh: both the explicit copy and the otool dylib-bundling loop) so distributed workers ship with the backend. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] * fix(ds4): tighten ds4-worker integer arg validation to match upstream Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] * feat(ds4): wire grpc-server as distributed coordinator Add distributed COORDINATOR support to the ds4 backend's gRPC server. Distributed inference is an engine backend: when LoadModel receives 'ds4_role:coordinator', the process populates ds4_engine_options.distributed (role, layer slice, listen host/port) before ds4_engine_open, then the normal ds4_session_* generation path runs transparently once the worker route covers all layers. - New LoadModel options: ds4_role, ds4_layers (START:END or START:output), ds4_listen (host:port), ds4_route_timeout. - parse_layers_spec() maps the layer spec onto ds4_distributed_layers. - wait_route_ready() blocks generation until ds4_session_distributed_route_ready() reports full coverage (or timeout), gating both Predict and PredictStream; returns UNAVAILABLE on timeout/error. - No ds4_role => g_distributed stays false and wait_route_ready is a no-op, so single-node behavior is unchanged. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] * fix(ds4): don't block Status during route wait; validate coordinator opts Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] * feat(cli): add ds4-distributed worker exec helper Add the ds4WorkerArgs helper plus findDS4Backend/DS4Distributed.Run that resolve the ds4 backend via the gallery and exec the packaged ds4-worker binary. Unlike worker_llamacpp.go, ds4 bundles its own dynamic loader (lib/ld.so) for glibc compatibility, so when present we exec ds4-worker through that loader with LD_LIBRARY_PATH=<backend>/lib, mirroring backend/cpp/ds4/run.sh; otherwise we exec it directly. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] * feat(cli): register the ds4-distributed worker subcommand Wire DS4Distributed into the Worker kong command tree so `local-ai worker ds4-distributed` is available. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] * docs(ds4): document layer-split distributed inference Add a ds4 section to the distributed-mode feature docs (coordinator model YAML, manual worker command, layer-range semantics, the 'GGUF on every machine' requirement, coordinator-listens dial direction vs llama.cpp) and a terse Distributed mode section to the ds4 backend agent guide. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] * test(ds4): opt-in hardware-gated distributed e2e spec Add a self-contained, opt-in Ginkgo spec to the backend e2e suite that spins a ds4 coordinator (via the packaged run.sh, loaded with ds4_role/ds4_layers/ds4_listen options) plus a ds4-worker process for the upper layers, then uses Eventually to assert a short successful Predict once the layer route forms, before tearing the worker down. Gated by BACKEND_TEST_DS4_DISTRIBUTED=1 (plus the existing BACKEND_BINARY + BACKEND_TEST_MODEL_FILE and optional layer/listen/accel knobs); compiles and skips cleanly with no env, hardware, or model. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] * test(ds4): pass coordinator ctx to worker; lowercase error string Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] * docs(ds4): note distributed transport is plaintext/unauthenticated Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] * style(ds4): replace em dashes in distributed docs/agent/test per repo convention Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] * fix(ds4): link ds4-worker with the C++ driver for CUDA/Metal builds The ds4-worker target is built from worker_main.c (C), so CMake linked it with the C driver. The nvcc-built ds4_cuda.o (and Obj-C++ ds4_metal.o) reference the C++ runtime, so the CUDA/Metal builds failed with undefined libstdc++ symbols (std::__throw_length_error). The CPU build passed because ds4_cpu.o is pure C. Force LINKER_LANGUAGE CXX so libstdc++ is linked. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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486467623c |
chore: ⬆️ Update antirez/ds4 to e16ead1e29c81a67bbb64e5b001117679cf9ce6e (#10076)
* ⬆️ Update antirez/ds4 Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> * fix(ds4): link new ds4_distributed.o into grpc-server build Upstream ds4 e16ead1e split distributed inference into a new translation unit (ds4_distributed.c/.h). ds4.c and ds4_cpu.o now reference its ds4_dist_* symbols, so the grpc-server link fails with undefined references unless that object is built and linked. Add ds4_distributed.o to both the upstream object build (Makefile) and the grpc-server link set (CMakeLists.txt) for every GPU mode. It is a single GPU-agnostic object, so it is built/linked unconditionally. Verified: the six undefined ds4_dist_session_* references in ds4_cpu.o are all defined by the newly built ds4_distributed.o (nm cross-check). Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] --------- Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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LocalAI [bot]andEttore Di Giacinto
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d892e4af80 |
feat: add ds4 backend (DeepSeek V4 Flash) with tool calls, thinking, KV cache (#9758)
* test(e2e-backends): allow BACKEND_BINARY for native-built backends
Adds an escape hatch for hardware-gated backends (e.g. ds4) where the
model is too large for Docker build context. When BACKEND_BINARY points
at a run.sh produced by 'make -C backend/cpp/<name> package', the suite
skips docker image extraction and drives the binary directly.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* test(e2e-backends): validate BACKEND_BINARY basename + log actual source
Two follow-ups from the
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