chore: import upstream snapshot with attribution
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wehub-resource-sync
2026-07-13 13:12:26 +08:00
commit 1b8708893a
2967 changed files with 796875 additions and 0 deletions
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set(TARGET grpc-server)
set(CMAKE_CXX_STANDARD 17)
cmake_minimum_required(VERSION 3.15)
set(TARGET grpc-server)
set(_PROTOBUF_LIBPROTOBUF libprotobuf)
set(_REFLECTION grpc++_reflection)
if (${CMAKE_SYSTEM_NAME} MATCHES "Darwin")
# Set correct Homebrew install folder for Apple Silicon and Intel Macs
if (CMAKE_HOST_SYSTEM_PROCESSOR MATCHES "arm64")
set(HOMEBREW_DEFAULT_PREFIX "/opt/homebrew")
else()
set(HOMEBREW_DEFAULT_PREFIX "/usr/local")
endif()
link_directories("${HOMEBREW_DEFAULT_PREFIX}/lib")
include_directories("${HOMEBREW_DEFAULT_PREFIX}/include")
endif()
find_package(absl CONFIG REQUIRED)
find_package(Protobuf CONFIG REQUIRED)
find_package(gRPC CONFIG REQUIRED)
find_program(_PROTOBUF_PROTOC protoc)
set(_GRPC_GRPCPP grpc++)
find_program(_GRPC_CPP_PLUGIN_EXECUTABLE grpc_cpp_plugin)
include_directories(${CMAKE_CURRENT_BINARY_DIR})
include_directories(${Protobuf_INCLUDE_DIRS})
message(STATUS "Using protobuf version ${Protobuf_VERSION} | Protobuf_INCLUDE_DIRS: ${Protobuf_INCLUDE_DIRS} | CMAKE_CURRENT_BINARY_DIR: ${CMAKE_CURRENT_BINARY_DIR}")
# Proto file
get_filename_component(hw_proto "../../../../../../backend/backend.proto" ABSOLUTE)
get_filename_component(hw_proto_path "${hw_proto}" PATH)
# Generated sources
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 ${_PROTOBUF_PROTOC}
ARGS --grpc_out "${CMAKE_CURRENT_BINARY_DIR}"
--cpp_out "${CMAKE_CURRENT_BINARY_DIR}"
-I "${hw_proto_path}"
--plugin=protoc-gen-grpc="${_GRPC_CPP_PLUGIN_EXECUTABLE}"
"${hw_proto}"
DEPENDS "${hw_proto}")
# hw_grpc_proto: force STATIC. Under the CPU_ALL_VARIANTS build BUILD_SHARED_LIBS=ON
# (ggml/llama become shared), which would otherwise make this glue library a DSO. As a
# DSO it references the hidden-visibility symbols in the static libprotobuf.a, which the
# linker cannot satisfy ("hidden symbol ... in libprotobuf.a is referenced by DSO").
# Keeping it STATIC links protobuf/gRPC directly into the grpc-server executable while
# only ggml/llama stay shared. No effect on the static variants (already BUILD_SHARED_LIBS=OFF).
add_library(hw_grpc_proto STATIC
${hw_grpc_srcs}
${hw_grpc_hdrs}
${hw_proto_srcs}
${hw_proto_hdrs} )
add_executable(${TARGET} grpc-server.cpp json.hpp httplib.h)
target_include_directories(${TARGET} PRIVATE ../llava)
target_include_directories(${TARGET} PRIVATE ${CMAKE_SOURCE_DIR})
# Upstream llama.cpp renamed the `common` helpers library to `llama-common`.
# Forks that branched before the rename (e.g. llama-cpp-turboquant) still
# expose it as `common`. Detect which one is present so the same CMakeLists
# drives both builds — otherwise an unresolved name silently degrades to a
# plain `-l` flag and the PUBLIC include dir (where common.h lives) is lost.
if (TARGET llama-common)
set(_LLAMA_COMMON_TARGET llama-common)
else()
set(_LLAMA_COMMON_TARGET common)
endif()
target_link_libraries(${TARGET} PRIVATE ${_LLAMA_COMMON_TARGET} llama mtmd ${CMAKE_THREAD_LIBS_INIT} absl::flags hw_grpc_proto
absl::flags_parse
gRPC::${_REFLECTION}
gRPC::${_GRPC_GRPCPP}
protobuf::${_PROTOBUF_LIBPROTOBUF})
target_compile_features(${TARGET} PRIVATE cxx_std_11)
if(TARGET BUILD_INFO)
add_dependencies(${TARGET} BUILD_INFO)
endif()
# Unit test for the message-content normalization helper (message_content.h).
# Off by default so the normal backend build is untouched; enable with
# -DLLAMA_GRPC_BUILD_TESTS=ON and run via ctest. It reuses llama.cpp's vendored
# <nlohmann/json.hpp> (propagated by the common helpers library) so it has no
# extra dependency beyond what the backend already builds against.
option(LLAMA_GRPC_BUILD_TESTS "Build grpc-server unit tests" OFF)
if(LLAMA_GRPC_BUILD_TESTS)
enable_testing()
add_executable(message_content_test message_content_test.cpp message_content.h)
target_include_directories(message_content_test PRIVATE ${CMAKE_CURRENT_SOURCE_DIR})
target_link_libraries(message_content_test PRIVATE ${_LLAMA_COMMON_TARGET})
target_compile_features(message_content_test PRIVATE cxx_std_17)
add_test(NAME message_content_test COMMAND message_content_test)
# Parent-death watcher test (parent_watch.h) — standard library only, but
# needs a threading runtime for std::thread.
find_package(Threads REQUIRED)
add_executable(parent_watch_test parent_watch_test.cpp parent_watch.h)
target_include_directories(parent_watch_test PRIVATE ${CMAKE_CURRENT_SOURCE_DIR})
target_link_libraries(parent_watch_test PRIVATE Threads::Threads)
target_compile_features(parent_watch_test PRIVATE cxx_std_17)
add_test(NAME parent_watch_test COMMAND parent_watch_test)
endif()
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LLAMA_VERSION?=e3546c7948e3af463d0b401e6421d5a4c2faf565
LLAMA_REPO?=https://github.com/ggerganov/llama.cpp
CMAKE_ARGS?=
BUILD_TYPE?=
NATIVE?=false
ONEAPI_VARS?=/opt/intel/oneapi/setvars.sh
TARGET?=--target grpc-server
JOBS?=$(shell nproc 2>/dev/null || sysctl -n hw.ncpu 2>/dev/null || echo 1)
ARCH?=$(shell uname -m)
# Shared libs default to OFF: we link static gRPC and the avx/avx2/avx512/fallback
# variants are fully static. The CPU_ALL_VARIANTS build flips SHARED_LIBS=ON (ggml/llama
# become shared so the dynamic CPU backends work; gRPC stays static via its imported
# targets). SHARED_LIBS is a make variable, not an appended -D, so it survives the
# recursive sub-make into the VARIANT build dir (which re-parses this Makefile) instead
# of being re-clobbered by a second -DBUILD_SHARED_LIBS=OFF. EXTRA_CMAKE_ARGS is the hook
# the CPU_ALL_VARIANTS target uses to inject -DGGML_BACKEND_DL/-DGGML_CPU_ALL_VARIANTS.
SHARED_LIBS?=OFF
EXTRA_CMAKE_ARGS?=
CMAKE_ARGS+=-DBUILD_SHARED_LIBS=$(SHARED_LIBS) -DLLAMA_CURL=OFF $(EXTRA_CMAKE_ARGS)
CURRENT_MAKEFILE_DIR := $(dir $(abspath $(lastword $(MAKEFILE_LIST))))
ifeq ($(NATIVE),false)
CMAKE_ARGS+=-DGGML_NATIVE=OFF -DLLAMA_OPENSSL=OFF
endif
# If build type is cublas, then we set -DGGML_CUDA=ON to CMAKE_ARGS automatically
ifeq ($(BUILD_TYPE),cublas)
CMAKE_ARGS+=-DGGML_CUDA=ON
# If build type is openblas then we set -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
# to CMAKE_ARGS automatically
else ifeq ($(BUILD_TYPE),openblas)
CMAKE_ARGS+=-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
# If build type is clblas (openCL) we set -DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
else ifeq ($(BUILD_TYPE),clblas)
CMAKE_ARGS+=-DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
# If it's hipblas we do have also to set CC=/opt/rocm/llvm/bin/clang CXX=/opt/rocm/llvm/bin/clang++
else ifeq ($(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,gfx1151,gfx1200,gfx1201
ifeq ($(strip $(AMDGPU_TARGETS)),)
$(error AMDGPU_TARGETS is emptyset it to a comma-separated list of gfx targets e.g. gfx1100,gfx1101)
endif
CMAKE_ARGS+=-DGGML_HIP=ON -DAMDGPU_TARGETS=$(AMDGPU_TARGETS)
else ifeq ($(BUILD_TYPE),vulkan)
CMAKE_ARGS+=-DGGML_VULKAN=1
else ifeq ($(OS),Darwin)
ifeq ($(BUILD_TYPE),)
BUILD_TYPE=metal
endif
ifneq ($(BUILD_TYPE),metal)
CMAKE_ARGS+=-DGGML_METAL=OFF
else
CMAKE_ARGS+=-DGGML_METAL=ON
CMAKE_ARGS+=-DGGML_METAL_EMBED_LIBRARY=ON
CMAKE_ARGS+=-DGGML_METAL_USE_BF16=ON
CMAKE_ARGS+=-DGGML_OPENMP=OFF
endif
TARGET+=--target ggml-metal
endif
ifeq ($(BUILD_TYPE),sycl_f16)
CMAKE_ARGS+=-DGGML_SYCL=ON \
-DCMAKE_C_COMPILER=icx \
-DCMAKE_CXX_COMPILER=icpx \
-DCMAKE_CXX_FLAGS="-fsycl" \
-DGGML_SYCL_F16=ON
endif
ifeq ($(BUILD_TYPE),sycl_f32)
CMAKE_ARGS+=-DGGML_SYCL=ON \
-DCMAKE_C_COMPILER=icx \
-DCMAKE_CXX_COMPILER=icpx \
-DCMAKE_CXX_FLAGS="-fsycl"
endif
INSTALLED_PACKAGES=$(CURDIR)/../grpc/installed_packages
INSTALLED_LIB_CMAKE=$(INSTALLED_PACKAGES)/lib/cmake
ADDED_CMAKE_ARGS=-Dabsl_DIR=${INSTALLED_LIB_CMAKE}/absl \
-DProtobuf_DIR=${INSTALLED_LIB_CMAKE}/protobuf \
-Dutf8_range_DIR=${INSTALLED_LIB_CMAKE}/utf8_range \
-DgRPC_DIR=${INSTALLED_LIB_CMAKE}/grpc \
-DCMAKE_CXX_STANDARD_INCLUDE_DIRECTORIES=${INSTALLED_PACKAGES}/include
build-llama-cpp-grpc-server:
# Conditionally build grpc for the llama backend to use if needed
ifdef BUILD_GRPC_FOR_BACKEND_LLAMA
$(MAKE) -C ../../grpc build
_PROTOBUF_PROTOC=${INSTALLED_PACKAGES}/bin/proto \
_GRPC_CPP_PLUGIN_EXECUTABLE=${INSTALLED_PACKAGES}/bin/grpc_cpp_plugin \
PATH="${INSTALLED_PACKAGES}/bin:${PATH}" \
CMAKE_ARGS="${CMAKE_ARGS} ${ADDED_CMAKE_ARGS}" \
LLAMA_VERSION=$(LLAMA_VERSION) \
$(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../$(VARIANT) grpc-server
else
echo "BUILD_GRPC_FOR_BACKEND_LLAMA is not defined."
LLAMA_VERSION=$(LLAMA_VERSION) $(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../$(VARIANT) grpc-server
endif
llama-cpp-avx2: llama.cpp
cp -rf $(CURRENT_MAKEFILE_DIR)/../llama-cpp $(CURRENT_MAKEFILE_DIR)/../llama-cpp-avx2-build
$(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../llama-cpp-avx2-build purge
$(info ${GREEN}I llama-cpp build info:avx2${RESET})
CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=off -DGGML_FMA=on -DGGML_F16C=on" $(MAKE) VARIANT="llama-cpp-avx2-build" build-llama-cpp-grpc-server
cp -rfv $(CURRENT_MAKEFILE_DIR)/../llama-cpp-avx2-build/grpc-server llama-cpp-avx2
llama-cpp-avx512: llama.cpp
cp -rf $(CURRENT_MAKEFILE_DIR)/../llama-cpp $(CURRENT_MAKEFILE_DIR)/../llama-cpp-avx512-build
$(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../llama-cpp-avx512-build purge
$(info ${GREEN}I llama-cpp build info:avx512${RESET})
CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=on -DGGML_FMA=on -DGGML_F16C=on" $(MAKE) VARIANT="llama-cpp-avx512-build" build-llama-cpp-grpc-server
cp -rfv $(CURRENT_MAKEFILE_DIR)/../llama-cpp-avx512-build/grpc-server llama-cpp-avx512
llama-cpp-avx: llama.cpp
cp -rf $(CURRENT_MAKEFILE_DIR)/../llama-cpp $(CURRENT_MAKEFILE_DIR)/../llama-cpp-avx-build
$(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../llama-cpp-avx-build purge
$(info ${GREEN}I llama-cpp build info:avx${RESET})
CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) VARIANT="llama-cpp-avx-build" build-llama-cpp-grpc-server
cp -rfv $(CURRENT_MAKEFILE_DIR)/../llama-cpp-avx-build/grpc-server llama-cpp-avx
llama-cpp-fallback: llama.cpp
cp -rf $(CURRENT_MAKEFILE_DIR)/../llama-cpp $(CURRENT_MAKEFILE_DIR)/../llama-cpp-fallback-build
$(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../llama-cpp-fallback-build purge
$(info ${GREEN}I llama-cpp build info:fallback${RESET})
CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) VARIANT="llama-cpp-fallback-build" build-llama-cpp-grpc-server
cp -rfv $(CURRENT_MAKEFILE_DIR)/../llama-cpp-fallback-build/grpc-server llama-cpp-fallback
# Single-build CPU backend using ggml's CPU_ALL_VARIANTS. Produces ONE grpc-server
# plus a set of dlopen-able libggml-cpu-*.so (sandybridge/haswell/skylakex/...) that
# ggml's backend registry selects from at runtime by probing host CPU features.
# Replaces the avx/avx2/avx512/fallback multi-binary build on x86.
#
# CPU_ALL_VARIANTS requires GGML_BACKEND_DL, which requires BUILD_SHARED_LIBS=ON, so we
# pass SHARED_LIBS=ON and the DL flags as make variables (NOT pre-expanded into the
# CMAKE_ARGS env string): command-line make variables propagate through every recursive
# sub-make, so the deepest VARIANT-dir build computes BUILD_SHARED_LIBS=ON consistently.
# Only ggml/llama go shared - gRPC is found via its static imported targets, so the
# grpc-server binary keeps static gRPC and only dynamically links ggml.
#
# TARGET adds "ggml": the per-microarch backends are runtime-dlopened, not link deps of
# grpc-server, so they only build because each is an add_dependencies() of the ggml target.
llama-cpp-cpu-all: llama.cpp
cp -rf $(CURRENT_MAKEFILE_DIR)/../llama-cpp $(CURRENT_MAKEFILE_DIR)/../llama-cpp-cpu-all-build
$(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../llama-cpp-cpu-all-build purge
$(info ${GREEN}I llama-cpp build info:cpu-all-variants${RESET})
$(MAKE) SHARED_LIBS=ON EXTRA_CMAKE_ARGS="-DGGML_BACKEND_DL=ON -DGGML_CPU_ALL_VARIANTS=ON" TARGET="--target grpc-server --target ggml" VARIANT="llama-cpp-cpu-all-build" build-llama-cpp-grpc-server
cp -rfv $(CURRENT_MAKEFILE_DIR)/../llama-cpp-cpu-all-build/grpc-server llama-cpp-cpu-all
rm -rf ggml-shared-libs && mkdir -p ggml-shared-libs
find $(CURRENT_MAKEFILE_DIR)/../llama-cpp-cpu-all-build/llama.cpp/build \( -name '*.so*' -o -name '*.dylib' \) -exec cp -av {} ggml-shared-libs/ \;
@echo "Collected ggml shared backends:" && ls -la ggml-shared-libs/
llama-cpp-grpc: llama.cpp
cp -rf $(CURRENT_MAKEFILE_DIR)/../llama-cpp $(CURRENT_MAKEFILE_DIR)/../llama-cpp-grpc-build
$(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../llama-cpp-grpc-build purge
$(info ${GREEN}I llama-cpp build info:grpc${RESET})
CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_RPC=ON -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" TARGET="--target grpc-server --target ggml-rpc-server" $(MAKE) VARIANT="llama-cpp-grpc-build" build-llama-cpp-grpc-server
cp -rfv $(CURRENT_MAKEFILE_DIR)/../llama-cpp-grpc-build/grpc-server llama-cpp-grpc
llama-cpp-rpc-server: llama-cpp-grpc
cp -rf $(CURRENT_MAKEFILE_DIR)/../llama-cpp-grpc-build/llama.cpp/build/bin/ggml-rpc-server llama-cpp-rpc-server
llama.cpp:
mkdir -p llama.cpp
cd llama.cpp && \
git init && \
git remote add origin $(LLAMA_REPO) && \
git fetch --all --tags && \
git checkout -b build $(LLAMA_VERSION) && \
git submodule update --init --recursive --depth 1 --single-branch
llama.cpp/tools/grpc-server: llama.cpp
mkdir -p llama.cpp/tools/grpc-server
bash prepare.sh
rebuild:
bash prepare.sh
rm -rf grpc-server
$(MAKE) grpc-server
package:
bash package.sh
purge:
rm -rf llama.cpp/build
rm -rf llama.cpp/tools/grpc-server
rm -rf grpc-server
clean: purge
rm -rf llama.cpp
grpc-server: llama.cpp llama.cpp/tools/grpc-server
@echo "Building grpc-server with $(BUILD_TYPE) build type and $(CMAKE_ARGS)"
ifneq (,$(findstring sycl,$(BUILD_TYPE)))
+bash -c "source $(ONEAPI_VARS); \
cd llama.cpp && mkdir -p build && cd build && cmake .. $(CMAKE_ARGS) && cmake --build . --config Release -j $(JOBS) $(TARGET)"
else
+cd llama.cpp && mkdir -p build && cd build && cmake .. $(CMAKE_ARGS) && cmake --build . --config Release -j $(JOBS) $(TARGET)
endif
cp llama.cpp/build/bin/grpc-server .
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#pragma once
#include <string>
#include <vector>
#include <nlohmann/json.hpp>
namespace llama_grpc {
// Normalizes a proto message's content string into the JSON value used when
// reconstructing OpenAI-format messages for the tokenizer (jinja) template.
//
// Shared by the streaming (PredictStream) and non-streaming (Predict) message
// reconstruction paths so the two cannot drift.
//
// LocalAI's Go layer (schema.Messages.ToProto) always sends content as a plain
// text string; multimodal media travels in separate proto fields, never inside
// content. So user/system/developer content is *only ever* opaque text and must
// NOT be JSON-sniffed: a prompt that merely looks like JSON (e.g. an ingredient
// list ["1/4 cup sugar", ...]) would otherwise be reinterpreted as structured
// content parts and rejected by oaicompat_chat_params_parse with
// "unsupported content[].type" (https://github.com/mudler/LocalAI/issues/10524).
// (developer is OpenAI's modern system alias - same "human-authored text" nature.)
//
// For assistant/tool messages we still collapse a literal JSON null/object
// (tool-call bookkeeping) to a string, but we never turn a plain string into an
// array/scalar. The array defense is therefore role-independent (arrays/scalars
// fall through for every role); the role gate only governs the null/object case.
inline nlohmann::ordered_json normalize_message_content(const std::string& role,
const std::string& content) {
nlohmann::ordered_json content_val = content;
if (role != "user" && role != "system" && role != "developer") {
try {
nlohmann::ordered_json parsed = nlohmann::ordered_json::parse(content);
if (parsed.is_null()) {
content_val = "";
} else if (parsed.is_object()) {
content_val = parsed.dump();
}
// arrays / scalars: keep the original plain-text string as-is
} catch (const nlohmann::ordered_json::parse_error&) {
// Not JSON, already the plain string
}
}
return content_val;
}
// Final safety pass applied to each reconstructed OpenAI message right before it
// is handed to oaicompat_chat_params_parse (jinja templating). Jinja templates
// assume content is a string: a literal null breaks slicing such as
// message.content[:N] (#7324), and a tool message with array content is rejected
// (#7528). A multimodal user message legitimately carries a typed-part array
// ({type:text}, {type:image_url}, ...), which must be left intact. Shared by the
// streaming and non-streaming paths so this invariant cannot drift between them.
inline void normalize_template_message(nlohmann::ordered_json& msg) {
if (!msg.contains("content")) {
msg["content"] = ""; // templates expect the field to exist
return;
}
nlohmann::ordered_json& content = msg["content"];
const std::string role = (msg.contains("role") && msg["role"].is_string())
? msg["role"].get<std::string>()
: std::string();
if (content.is_null()) {
content = ""; // #7324: null would crash content[:N] slicing
} else if (role == "tool" && content.is_array()) {
content = content.dump(); // #7528: tool messages must have string content
} else if (!content.is_string() && !content.is_array()) {
if (content.is_object()) {
content = content.dump(); // tool-call bookkeeping object -> string
} else {
content = ""; // other scalar (number/bool) -> empty
}
}
// string, or a non-tool (multimodal) typed-part array: leave untouched
}
// One proto message's data, flattened to plain types so the reconstruction logic
// can be shared and unit-tested without protobuf. The streaming and non-streaming
// predict paths both populate this from proto::Message + the request's media.
struct ReconstructedMessageInput {
std::string role;
std::string content; // proto.Message.content (always a plain string)
std::string name;
std::string tool_call_id;
std::string reasoning_content;
std::string tool_calls; // tool_calls as a JSON string, or empty
bool is_last_user_msg = false; // attach request media to this message
std::vector<std::string> images; // base64 (jpeg)
std::vector<std::string> audios; // base64 (wav)
std::vector<std::string> videos; // base64
};
// Appends the request's media as OpenAI typed content parts. Imperative (not
// brace-init) to avoid nlohmann's object-vs-array initializer-list ambiguity.
inline void append_media_parts(nlohmann::ordered_json& content_array,
const std::vector<std::string>& images,
const std::vector<std::string>& audios,
const std::vector<std::string>& videos) {
for (const auto& img : images) {
nlohmann::ordered_json image_chunk;
image_chunk["type"] = "image_url";
nlohmann::ordered_json image_url;
image_url["url"] = "data:image/jpeg;base64," + img;
image_chunk["image_url"] = image_url;
content_array.push_back(image_chunk);
}
for (const auto& aud : audios) {
nlohmann::ordered_json audio_chunk;
audio_chunk["type"] = "input_audio";
nlohmann::ordered_json input_audio;
input_audio["data"] = aud;
input_audio["format"] = "wav"; // default; could be made configurable
audio_chunk["input_audio"] = input_audio;
content_array.push_back(audio_chunk);
}
for (const auto& vid : videos) {
nlohmann::ordered_json video_chunk;
video_chunk["type"] = "input_video";
nlohmann::ordered_json input_video;
input_video["data"] = vid;
video_chunk["input_video"] = input_video;
content_array.push_back(video_chunk);
}
}
// Reconstructs a single OpenAI-format message (the object fed to
// oaicompat_chat_params_parse) from a proto message. Shared by PredictStream and
// Predict so the content/multimodal/tool_calls handling cannot drift between the
// two stream modes (it previously lived as two ~150-line copies with a redundant
// Predict-only tool_calls->" " branch). Guarantees content is always a string or
// a typed-part array, never null/missing.
inline nlohmann::ordered_json build_reconstructed_message(const ReconstructedMessageInput& in) {
nlohmann::ordered_json msg_json;
msg_json["role"] = in.role;
const bool has_media = !in.images.empty() || !in.audios.empty() || !in.videos.empty();
if (!in.content.empty()) {
nlohmann::ordered_json content_val = normalize_message_content(in.role, in.content);
if (content_val.is_string() && in.is_last_user_msg && has_media) {
// Last user message + media: build a typed-part array (text first).
nlohmann::ordered_json content_array = nlohmann::ordered_json::array();
nlohmann::ordered_json text_part;
text_part["type"] = "text";
text_part["text"] = content_val.get<std::string>();
content_array.push_back(text_part);
append_media_parts(content_array, in.images, in.audios, in.videos);
msg_json["content"] = content_array;
} else if (content_val.is_null()) {
msg_json["content"] = "";
} else {
msg_json["content"] = content_val;
}
} else if (in.is_last_user_msg && has_media) {
// No text but media on the last user message: media-only typed array.
nlohmann::ordered_json content_array = nlohmann::ordered_json::array();
append_media_parts(content_array, in.images, in.audios, in.videos);
msg_json["content"] = content_array;
} else {
// Empty content (any role, incl. tool/assistant): templates need a string.
msg_json["content"] = "";
}
if (!in.name.empty()) {
msg_json["name"] = in.name;
}
if (!in.tool_call_id.empty()) {
msg_json["tool_call_id"] = in.tool_call_id;
}
if (!in.reasoning_content.empty()) {
msg_json["reasoning_content"] = in.reasoning_content;
}
if (!in.tool_calls.empty()) {
try {
nlohmann::ordered_json tool_calls = nlohmann::ordered_json::parse(in.tool_calls);
msg_json["tool_calls"] = tool_calls;
// tool_calls + empty/blank content: use " " not "", because llama.cpp's
// common_chat_msgs_to_json_oaicompat turns "" into null, which breaks
// templates that slice message.content[:tool_start_length] (#7324).
if (!msg_json.contains("content") ||
(msg_json["content"].is_string() && msg_json["content"].get<std::string>().empty())) {
msg_json["content"] = " ";
}
} catch (const nlohmann::ordered_json::parse_error&) {
// Malformed tool_calls JSON: leave content as-is (prior behavior).
}
}
return msg_json;
}
} // namespace llama_grpc
@@ -0,0 +1,234 @@
// Unit tests for the shared message-reconstruction helpers (message_content.h).
//
// Build & run standalone (nlohmann/json single header on the include path):
// g++ -std=c++17 -I<dir-with-nlohmann> message_content_test.cpp -o t && ./t
// or via CMake: -DLLAMA_GRPC_BUILD_TESTS=ON then ctest.
//
// Regression coverage for:
// #10524 - a user/system prompt that is itself a JSON-array string must stay
// plain text, never be reinterpreted as OpenAI structured parts.
// #7324 - assistant/tool null content -> "" (templates slice content[:N]);
// assistant+tool_calls+empty content -> " " (not "", which becomes null).
// #7528 - tool message array content must reach the template as a string.
// multimodal - last user message text + media -> typed-part array, media kept.
#include <cassert>
#include <iostream>
#include <string>
#include "message_content.h"
using nlohmann::ordered_json;
using llama_grpc::normalize_message_content;
using llama_grpc::normalize_template_message;
using llama_grpc::build_reconstructed_message;
using llama_grpc::ReconstructedMessageInput;
static int failures = 0;
static void check(bool ok, const std::string& name, const std::string& detail = "") {
if (!ok) {
std::cerr << "FAIL " << name << (detail.empty() ? "" : ": " + detail) << "\n";
failures++;
}
}
// ---- normalize_message_content -------------------------------------------
static void expect_norm_string(const char* name, const std::string& role,
const std::string& content, const std::string& want) {
auto got = normalize_message_content(role, content);
if (!got.is_string()) {
check(false, name, "expected a JSON string, got " +
std::string(got.is_array() ? "array" : got.is_object() ? "object" : "other") +
" (" + got.dump() + ")");
return;
}
check(got.get<std::string>() == want, name, "expected \"" + want + "\", got \"" + got.get<std::string>() + "\"");
}
static void test_normalize() {
const std::string ingredients = R"(["1/4 cup brown sugar, packed","1 pound ground beef"])";
// #10524 - JSON-array text must stay a string. Role-INDEPENDENT array defense.
for (const char* role : {"user", "system", "developer", "function", "assistant", "tool"}) {
expect_norm_string((std::string("json_array_stays_text:") + role).c_str(), role, ingredients, ingredients);
}
// #10524 - user/system/developer JSON-object text stays verbatim (NOT re-dumped).
expect_norm_string("user_json_object_verbatim", "user", R"({"a":1})", R"({"a":1})");
expect_norm_string("system_json_object_verbatim", "system", R"({"a":1})", R"({"a":1})");
expect_norm_string("developer_json_object_verbatim", "developer", R"({"a":1})", R"({"a":1})");
// Plain text unchanged for all roles.
expect_norm_string("user_plain_text", "user", "hello world", "hello world");
expect_norm_string("assistant_non_json_text_kept", "assistant", "hi [unclosed", "hi [unclosed");
// #7324 boundary - user/system/developer literal "null" preserved (never parsed).
expect_norm_string("user_literal_null_stays", "user", "null", "null");
expect_norm_string("system_literal_null_stays", "system", "null", "null");
expect_norm_string("developer_literal_null_stays", "developer", "null", "null");
// #7324 - assistant/tool literal null collapses to empty string.
expect_norm_string("assistant_null_to_empty", "assistant", "null", "");
expect_norm_string("tool_null_to_empty", "tool", "null", "");
// #7324/#7528 - assistant/tool object bookkeeping stringified (stays a string).
check(normalize_message_content("assistant", R"({"tool":"x"})").is_string(), "assistant_object_stringified");
check(normalize_message_content("tool", R"({"error":"boom"})").is_string(), "tool_object_stringified");
// #10524-family - a bare scalar that parses as a JSON number stays the string.
expect_norm_string("assistant_scalar_number_stays_string", "assistant", "42", "42");
// baseline - empty content stays empty.
expect_norm_string("user_empty_stays_empty", "user", "", "");
}
// ---- normalize_template_message (BEFORE TEMPLATE sanitizer) ---------------
static void test_template_sanitizer() {
// #7528 - a tool message with an ACTUAL array becomes a string.
{
ordered_json msg = {{"role", "tool"}, {"content", ordered_json::array({{{"type", "text"}, {"text", "r"}}})}};
normalize_template_message(msg);
check(msg["content"].is_string(), "before_template_tool_array_to_string", "got " + msg["content"].dump());
}
// #7324 - null content -> "" for any role.
{
ordered_json msg = {{"role", "assistant"}, {"content", nullptr}};
normalize_template_message(msg);
check(msg["content"].is_string() && msg["content"] == "", "before_template_null_to_empty");
}
// object content -> dumped string (would otherwise throw at the template).
{
ordered_json msg = {{"role", "assistant"}, {"content", {{"x", 1}}}};
normalize_template_message(msg);
check(msg["content"].is_string(), "before_template_object_to_string", "got " + msg["content"].dump());
}
// missing content field -> "".
{
ordered_json msg = {{"role", "user"}};
normalize_template_message(msg);
check(msg.contains("content") && msg["content"] == "", "before_template_missing_to_empty");
}
// multimodal: a well-typed user array must be left UNTOUCHED (role!=tool).
{
ordered_json parts = ordered_json::array();
parts.push_back({{"type", "text"}, {"text", "x"}});
ordered_json img; img["type"] = "image_url"; img["image_url"] = {{"url", "data:..."}};
parts.push_back(img);
ordered_json msg = {{"role", "user"}, {"content", parts}};
normalize_template_message(msg);
check(msg["content"].is_array() && msg["content"].size() == 2, "before_template_user_typed_array_preserved",
"got " + msg["content"].dump());
}
// a plain string is left untouched.
{
ordered_json msg = {{"role", "user"}, {"content", "hello"}};
normalize_template_message(msg);
check(msg["content"] == "hello", "before_template_string_untouched");
}
}
// ---- build_reconstructed_message ----------------------------------------
static void test_reconstruction() {
const std::string ingredients = R"(["1/4 cup brown sugar","1 pound ground beef"])";
// #10524 end-state - user JSON-array text, no media -> string content.
{
ReconstructedMessageInput in;
in.role = "user"; in.content = ingredients;
auto m = build_reconstructed_message(in);
check(m["content"].is_string() && m["content"] == ingredients, "recon_user_json_array_string",
"got " + m["content"].dump());
}
// multimodal - user text + one image on last user msg -> typed array, image kept.
{
ReconstructedMessageInput in;
in.role = "user"; in.content = ingredients; in.is_last_user_msg = true;
in.images.push_back("BASE64IMG");
auto m = build_reconstructed_message(in);
check(m["content"].is_array() && m["content"].size() == 2, "recon_multimodal_text_plus_image",
"got " + m["content"].dump());
check(m["content"][0]["type"] == "text" && m["content"][0]["text"] == ingredients, "recon_multimodal_text_first");
check(m["content"][1]["type"] == "image_url", "recon_multimodal_image_kept");
}
// multimodal media-only - empty text + image on last user msg.
{
ReconstructedMessageInput in;
in.role = "user"; in.content = ""; in.is_last_user_msg = true;
in.images.push_back("BASE64IMG");
auto m = build_reconstructed_message(in);
check(m["content"].is_array() && m["content"].size() == 1 && m["content"][0]["type"] == "image_url",
"recon_media_only", "got " + m["content"].dump());
}
// #7528 - tool array-string content stays a string.
{
ReconstructedMessageInput in;
in.role = "tool"; in.content = R"(["a","b"])"; in.tool_call_id = "call_1";
auto m = build_reconstructed_message(in);
check(m["content"].is_string() && m["content"] == R"(["a","b"])", "recon_tool_array_string",
"got " + m["content"].dump());
check(m["tool_call_id"] == "call_1", "recon_tool_call_id_set");
}
// tool empty content -> "".
{
ReconstructedMessageInput in;
in.role = "tool"; in.content = "";
auto m = build_reconstructed_message(in);
check(m["content"].is_string() && m["content"] == "", "recon_tool_empty_to_string");
}
// #7324 - assistant + tool_calls + empty content -> " " (single space, not "").
{
ReconstructedMessageInput in;
in.role = "assistant"; in.content = "";
in.tool_calls = R"([{"id":"c1","type":"function","function":{"name":"f","arguments":"{}"}}])";
auto m = build_reconstructed_message(in);
check(m["content"].is_string() && m["content"] == " ", "recon_toolcalls_empty_content_space",
"got " + m["content"].dump());
check(m["tool_calls"].is_array() && m["tool_calls"].size() == 1, "recon_toolcalls_parsed");
}
// assistant + tool_calls + real content keeps the content.
{
ReconstructedMessageInput in;
in.role = "assistant"; in.content = "I'll call f";
in.tool_calls = R"([{"id":"c1","type":"function","function":{"name":"f","arguments":"{}"}}])";
auto m = build_reconstructed_message(in);
check(m["content"] == "I'll call f", "recon_toolcalls_with_content_kept");
}
// assistant null content -> "".
{
ReconstructedMessageInput in;
in.role = "assistant"; in.content = "null";
auto m = build_reconstructed_message(in);
check(m["content"] == "", "recon_assistant_null_to_empty");
}
// malformed tool_calls JSON must not throw; content preserved.
{
ReconstructedMessageInput in;
in.role = "assistant"; in.content = "hi"; in.tool_calls = "{not json";
auto m = build_reconstructed_message(in);
check(m["content"] == "hi" && !m.contains("tool_calls"), "recon_malformed_toolcalls_safe");
}
// optional fields: name + reasoning carried through.
{
ReconstructedMessageInput in;
in.role = "tool"; in.content = "result"; in.name = "get_weather"; in.reasoning_content = "thinking";
auto m = build_reconstructed_message(in);
check(m["name"] == "get_weather" && m["reasoning_content"] == "thinking", "recon_optional_fields");
}
}
int main() {
test_normalize();
test_template_sanitizer();
test_reconstruction();
if (failures == 0) {
std::cout << "OK: all message_content tests passed\n";
return 0;
}
std::cerr << failures << " test(s) failed\n";
return 1;
}
+74
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@@ -0,0 +1,74 @@
#!/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 -avrf $CURDIR/llama-cpp-* $CURDIR/package/
cp -rfv $CURDIR/run.sh $CURDIR/package/
# Bundle the ggml shared backends produced by the CPU_ALL_VARIANTS build (libggml-base.so,
# libggml.so, libllama.so and the per-microarch libggml-cpu-*.so), all into package/lib.
#
# Two distinct resolution mechanisms both land here:
# - NEEDED deps (libggml-base/libggml/libllama): resolved by the dynamic linker via the
# LD_LIBRARY_PATH=$CURDIR/lib that run.sh exports.
# - The per-microarch libggml-cpu-*.so are NOT linked; ggml *discovers* them at runtime by
# scanning the executable's own directory (readlink /proc/self/exe). run.sh launches via
# the bundled $CURDIR/lib/ld.so, so /proc/self/exe -> .../lib/ld.so and ggml scans lib/.
# That is why the variants must sit in lib/ (next to ld.so), not just on the link path.
# No-op on builds (arm64/darwin) that don't produce the all-variants set.
if [ -d "$CURDIR/ggml-shared-libs" ]; then
echo "Bundling ggml shared backends (CPU_ALL_VARIANTS)..."
cp -avf $CURDIR/ggml-shared-libs/*.so* $CURDIR/package/lib/
fi
# 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 $CURDIR/package/lib/libpthread.so.0
else
echo "Error: Could not detect architecture"
exit 1
fi
# Package GPU libraries based on BUILD_TYPE
# The GPU library packaging script will detect BUILD_TYPE and copy appropriate GPU libraries
GPU_LIB_SCRIPT="${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/
+179
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@@ -0,0 +1,179 @@
// Parent-death watcher (best-effort backstop) for the llama.cpp gRPC backend.
//
// LocalAI spawns this backend as a child process and, on a clean shutdown,
// tears it down itself (SIGTERM -> grace -> SIGKILL). That graceful path only
// runs when LocalAI receives a catchable signal and lives long enough to run
// its handlers. If LocalAI is SIGKILLed (e.g. a supervising process's grace
// period elapses first), that teardown never runs and this backend would be
// reparented to init and linger, holding VRAM and its listen port.
//
// The watcher here is a best-effort backstop for exactly that case: it does
// NOT replace the graceful teardown, it only covers the "parent vanished
// without cleaning up" path. It detects reparenting: when the process that
// spawned this backend dies, the kernel reparents us to the nearest sub-reaper
// or to init (PID 1), so getppid() stops matching the value captured at
// startup. This getppid() approach is portable across Linux/macOS (unlike the
// Linux-only PR_SET_PDEATHSIG), which is why it is used here, mirroring the Go
// backends' pkg/grpc/parentwatch.go. It is disabled on Windows, which has no
// equivalent orphan-reparenting semantics.
//
// This header is intentionally dependency-free (C++ standard library only) so
// it can be exercised by a standalone unit test (parent_watch_test.cpp) without
// building the full llama.cpp + gRPC backend.
#ifndef LLAMA_GRPC_PARENT_WATCH_H
#define LLAMA_GRPC_PARENT_WATCH_H
#include <algorithm>
#include <cctype>
#include <chrono>
#include <cstdio>
#include <cstdlib>
#include <functional>
#include <string>
#include <thread>
#if !defined(_WIN32)
#include <unistd.h> // getppid(2), _exit(2)
#endif
namespace llama_grpc {
// Env var names are shared verbatim with the Go and Python backends for
// consistency across languages.
inline const char *kEnvParentWatch() { return "LOCALAI_BACKEND_PARENT_WATCH"; }
inline const char *kEnvParentWatchInterval() { return "LOCALAI_BACKEND_PARENT_WATCH_INTERVAL"; }
// Default poll interval in milliseconds. Matches the Go side's 2 * time.Second.
inline long parent_watch_default_interval_ms() { return 2000; }
namespace detail {
inline std::string trim_lower(const std::string &in, bool lower) {
size_t a = in.find_first_not_of(" \t\r\n");
size_t b = in.find_last_not_of(" \t\r\n");
if (a == std::string::npos) {
return "";
}
std::string s = in.substr(a, b - a + 1);
if (lower) {
std::transform(s.begin(), s.end(), s.begin(),
[](unsigned char c) { return std::tolower(c); });
}
return s;
}
} // namespace detail
// parent_watch_enabled reports whether the watcher should run. Enabled by
// default; a falsey value ("false"/"0"/"no"/"off", case-insensitive) disables
// it, matching the Go implementation's exact semantics.
inline bool parent_watch_enabled() {
#if defined(_WIN32)
return false;
#else
const char *v = std::getenv(kEnvParentWatch());
if (v == nullptr || v[0] == '\0') {
return true;
}
const std::string s = detail::trim_lower(v, true);
return !(s == "false" || s == "0" || s == "no" || s == "off");
#endif
}
// parent_watch_interval_ms returns the poll interval in milliseconds. Accepts
// Go-style duration strings ("500ms", "2s", "1m") for cross-language parity, or
// a bare number interpreted as seconds. Defaults to
// parent_watch_default_interval_ms().
inline long parent_watch_interval_ms() {
const long def = parent_watch_default_interval_ms();
const char *v = std::getenv(kEnvParentWatchInterval());
if (v == nullptr || v[0] == '\0') {
return def;
}
const std::string s = detail::trim_lower(v, false);
if (s.empty()) {
return def;
}
size_t i = 0;
while (i < s.size() && (std::isdigit((unsigned char)s[i]) || s[i] == '.')) {
i++;
}
if (i == 0) {
return def;
}
double num = 0.0;
try {
num = std::stod(s.substr(0, i));
} catch (...) {
return def;
}
const std::string unit = s.substr(i);
long ms;
if (unit == "ms") {
ms = (long)num;
} else if (unit == "s" || unit.empty()) {
ms = (long)(num * 1000.0);
} else if (unit == "m") {
ms = (long)(num * 60000.0);
} else {
return def; // unrecognized unit
}
return ms > 0 ? ms : def;
}
#if !defined(_WIN32)
// parent_died reports whether this process has been reparented away from the
// parent it had when the watcher started. Reparenting is the standard POSIX
// signal that the original parent (here, the LocalAI process that spawned this
// backend) has exited: the orphan is handed to the nearest sub-reaper or to
// init (PID 1), so getppid() no longer matches the value captured at startup.
inline bool parent_died(pid_t orig_ppid) {
const pid_t ppid = getppid();
return ppid != orig_ppid || ppid == 1;
}
// watch_parent_death polls until parent_died reports the original parent is
// gone, then invokes on_death. It blocks, so run it on its own thread.
inline void watch_parent_death(pid_t orig_ppid, long interval_ms,
const std::function<void()> &on_death) {
for (;;) {
std::this_thread::sleep_for(std::chrono::milliseconds(interval_ms));
if (parent_died(orig_ppid)) {
on_death();
return;
}
}
}
#endif
// start_parent_death_watcher installs the best-effort safety net described in
// the file header on the calling backend process. It is a no-op when disabled,
// on Windows, or when the process is already orphaned at startup
// (getppid() <= 1). This is a backstop alongside — never a replacement for —
// LocalAI's graceful teardown.
inline void start_parent_death_watcher() {
#if !defined(_WIN32)
if (!parent_watch_enabled()) {
return;
}
const pid_t orig_ppid = getppid();
// A parent of 1 (or less) at startup means we were already orphaned (or
// launched directly under init) — there is no original parent to watch for.
if (orig_ppid <= 1) {
return;
}
const long interval_ms = parent_watch_interval_ms();
std::thread([orig_ppid, interval_ms]() {
watch_parent_death(orig_ppid, interval_ms, [orig_ppid]() {
fprintf(stderr,
"backend parent process (pid %d) exited without stopping "
"this backend; self-terminating to avoid orphaning\n",
(int)orig_ppid);
fflush(stderr);
_exit(1);
});
}).detach();
#endif
}
} // namespace llama_grpc
#endif // LLAMA_GRPC_PARENT_WATCH_H
+197
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// Unit tests for the parent-death watcher (parent_watch.h).
//
// Build & run standalone (C++ standard library only, no nlohmann/json needed):
// g++ -std=c++17 -pthread parent_watch_test.cpp -o t && ./t
//
// The core test (TestDetectsReparent) builds a genuine two-level process tree
// (test -> middle -> grandchild), lets the middle process die, and asserts the
// grandchild's watch_parent_death detects the reparenting and self-terminates —
// mirroring the Go test in pkg/grpc/parentwatch_test.go, but with fork(2).
//
// On Windows this file compiles to a no-op success (the watcher is unsupported
// there), matching parent_watch.h's platform gating.
#include <cstdio>
#include <cstdlib>
#include <string>
#include "parent_watch.h"
static int failures = 0;
static void check(bool ok, const std::string &name) {
if (!ok) {
failures++;
fprintf(stderr, "FAIL: %s\n", name.c_str());
} else {
fprintf(stderr, "ok: %s\n", name.c_str());
}
}
// Env-parsing tests are platform-independent and always run.
static void test_env_parsing() {
using namespace llama_grpc;
// Interval: default when unset.
unsetenv("LOCALAI_BACKEND_PARENT_WATCH_INTERVAL");
check(parent_watch_interval_ms() == 2000, "interval default 2000ms");
setenv("LOCALAI_BACKEND_PARENT_WATCH_INTERVAL", "500ms", 1);
check(parent_watch_interval_ms() == 500, "interval 500ms");
setenv("LOCALAI_BACKEND_PARENT_WATCH_INTERVAL", "2s", 1);
check(parent_watch_interval_ms() == 2000, "interval 2s");
setenv("LOCALAI_BACKEND_PARENT_WATCH_INTERVAL", "1m", 1);
check(parent_watch_interval_ms() == 60000, "interval 1m");
setenv("LOCALAI_BACKEND_PARENT_WATCH_INTERVAL", "3", 1); // bare number -> seconds
check(parent_watch_interval_ms() == 3000, "interval bare 3 -> 3000ms");
setenv("LOCALAI_BACKEND_PARENT_WATCH_INTERVAL", "garbage", 1);
check(parent_watch_interval_ms() == 2000, "interval garbage -> default");
unsetenv("LOCALAI_BACKEND_PARENT_WATCH_INTERVAL");
#if !defined(_WIN32)
// Enabled semantics (POSIX only; always false on Windows).
unsetenv("LOCALAI_BACKEND_PARENT_WATCH");
check(parent_watch_enabled(), "enabled by default");
for (const char *falsey : {"false", "0", "no", "off", "OFF", " False "}) {
setenv("LOCALAI_BACKEND_PARENT_WATCH", falsey, 1);
check(!parent_watch_enabled(), std::string("disabled by '") + falsey + "'");
}
setenv("LOCALAI_BACKEND_PARENT_WATCH", "true", 1);
check(parent_watch_enabled(), "enabled by 'true'");
setenv("LOCALAI_BACKEND_PARENT_WATCH", "1", 1);
check(parent_watch_enabled(), "enabled by '1'");
unsetenv("LOCALAI_BACKEND_PARENT_WATCH");
#endif
}
#if !defined(_WIN32)
#include <atomic>
#include <ctime>
#include <sys/stat.h>
#include <sys/wait.h>
#include <unistd.h>
static bool file_exists(const std::string &p) {
struct stat st;
return ::stat(p.c_str(), &st) == 0;
}
static bool wait_for_file(const std::string &p, int timeout_ms) {
int waited = 0;
while (waited < timeout_ms) {
if (file_exists(p)) {
return true;
}
usleep(20 * 1000);
waited += 20;
}
return false;
}
static void write_file(const std::string &p, const std::string &content) {
FILE *f = fopen(p.c_str(), "w");
if (f) {
fwrite(content.data(), 1, content.size(), f);
fclose(f);
}
}
// Builds test -> middle -> grandchild via fork(2). The grandchild arms the REAL
// watch_parent_death against middle; middle exits, orphaning the grandchild;
// the watcher must detect the reparenting and self-terminate.
static void test_detects_reparent() {
char tmpl[] = "/tmp/parentwatch_test_XXXXXX";
char *dir = mkdtemp(tmpl);
if (dir == nullptr) {
check(false, "mkdtemp");
return;
}
const std::string ready_file = std::string(dir) + "/ready";
const std::string exited_file = std::string(dir) + "/exited";
pid_t middle = fork();
if (middle < 0) {
check(false, "fork middle");
return;
}
if (middle == 0) {
// ---- middle process ----
pid_t grandchild = fork();
if (grandchild < 0) {
_exit(4);
}
if (grandchild == 0) {
// ---- grandchild process ----
pid_t orig_ppid = getppid(); // == middle
std::thread([&]() {
llama_grpc::watch_parent_death(orig_ppid, 50 /*ms*/, [&]() {
write_file(exited_file, "1");
_exit(7);
});
}).detach();
// Safety valve: never linger if something goes wrong.
std::thread([]() {
usleep(30 * 1000 * 1000);
_exit(2);
}).detach();
// Signal readiness only after the watcher captured orig_ppid.
write_file(ready_file, std::to_string(getpid()));
for (;;) {
pause();
}
}
// middle: wait until grandchild is ready, then exit to orphan it.
if (!wait_for_file(ready_file, 10000)) {
_exit(5);
}
_exit(0);
}
// ---- test (top) process ----
int status = 0;
waitpid(middle, &status, 0); // reap middle only; grandchild is orphaned
check(file_exists(ready_file), "grandchild signaled readiness");
bool detected = wait_for_file(exited_file, 10000);
check(detected, "watcher detected parent death and self-terminated");
// Best-effort cleanup: kill the grandchild if it somehow survived.
if (file_exists(ready_file)) {
FILE *f = fopen(ready_file.c_str(), "r");
if (f) {
int pid = 0;
if (fscanf(f, "%d", &pid) == 1 && pid > 1) {
kill(pid, SIGKILL);
}
fclose(f);
}
}
unlink(ready_file.c_str());
unlink(exited_file.c_str());
rmdir(dir);
}
#endif // !_WIN32
int main() {
test_env_parsing();
#if !defined(_WIN32)
test_detects_reparent();
#endif
if (failures == 0) {
fprintf(stderr, "\nAll parent_watch tests passed.\n");
return 0;
}
fprintf(stderr, "\n%d parent_watch test(s) failed.\n", failures);
return 1;
}
+39
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#!/bin/bash
## Patches
## Apply patches from the `patches` directory
if [ -d "patches" ]; then
for patch in $(ls patches); do
echo "Applying patch $patch"
patch -d llama.cpp/ -p1 < patches/$patch
done
fi
set -e
for file in $(ls llama.cpp/tools/server/); do
cp -rfv llama.cpp/tools/server/$file llama.cpp/tools/grpc-server/
done
cp -r CMakeLists.txt llama.cpp/tools/grpc-server/
cp -r grpc-server.cpp llama.cpp/tools/grpc-server/
# Shared message-reconstruction helpers (included by grpc-server.cpp) and their
# unit test (compiled only when -DLLAMA_GRPC_BUILD_TESTS=ON).
cp -r message_content.h llama.cpp/tools/grpc-server/
cp -r message_content_test.cpp llama.cpp/tools/grpc-server/
# Parent-death watcher (included by grpc-server.cpp) and its standalone unit
# test (run via backend/cpp/run-unit-tests.sh; also buildable under ctest).
cp -r parent_watch.h llama.cpp/tools/grpc-server/
cp -r parent_watch_test.cpp llama.cpp/tools/grpc-server/
cp -rfv llama.cpp/vendor/nlohmann/json.hpp llama.cpp/tools/grpc-server/
cp -rfv llama.cpp/vendor/cpp-httplib/httplib.h llama.cpp/tools/grpc-server/
set +e
if grep -q "grpc-server" llama.cpp/tools/CMakeLists.txt; then
echo "grpc-server already added"
else
echo "add_subdirectory(grpc-server)" >> llama.cpp/tools/CMakeLists.txt
fi
set -e
+58
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@@ -0,0 +1,58 @@
#!/bin/bash
set -ex
# Get the absolute current dir where the script is located
CURDIR=$(dirname "$(realpath "$0")")
cd /
echo "CPU info:"
grep -e "model\sname" /proc/cpuinfo | head -1
grep -e "flags" /proc/cpuinfo | head -1
BINARY=llama-cpp-fallback
# CPU images (x86, arm64, darwin) ship a single llama-cpp-cpu-all built with ggml
# CPU_ALL_VARIANTS: ggml's backend registry dlopens the best libggml-cpu-*.so for this
# host, so no shell-side AVX probing. GPU images (cublas/sycl/vulkan/hipblas) ship only
# llama-cpp-fallback (the accelerator does the compute), so fall back to it when absent.
if [ -e "$CURDIR"/llama-cpp-cpu-all ]; then
BINARY=llama-cpp-cpu-all
fi
if [ -n "$LLAMACPP_GRPC_SERVERS" ]; then
if [ -e "$CURDIR"/llama-cpp-grpc ]; then
BINARY=llama-cpp-grpc
fi
fi
# Extend ld library path with the dir where this script is located/lib
if [ "$(uname)" == "Darwin" ]; then
export DYLD_LIBRARY_PATH="$CURDIR"/lib:$DYLD_LIBRARY_PATH
#export DYLD_FALLBACK_LIBRARY_PATH="$CURDIR"/lib:$DYLD_FALLBACK_LIBRARY_PATH
else
export LD_LIBRARY_PATH="$CURDIR"/lib:$LD_LIBRARY_PATH
# Tell rocBLAS where to find TensileLibrary data (GPU kernel tuning files)
if [ -d "$CURDIR/lib/rocblas/library" ]; then
export ROCBLAS_TENSILE_LIBPATH="$CURDIR"/lib/rocblas/library
fi
# Same for hipBLASLt (rocblaslt): the bundled libhipblaslt.so resolves its
# TensileLibrary_lazy_gfx*.dat kernel data relative to itself, so point it at
# the bundled data or it falls back to slow generic kernels (issue #10660).
if [ -d "$CURDIR/lib/hipblaslt/library" ]; then
export HIPBLASLT_TENSILE_LIBPATH="$CURDIR"/lib/hipblaslt/library
fi
fi
# If there is a lib/ld.so, use it
if [ -f "$CURDIR"/lib/ld.so ]; then
echo "Using lib/ld.so"
echo "Using binary: $BINARY"
exec "$CURDIR"/lib/ld.so "$CURDIR"/$BINARY "$@"
fi
echo "Using binary: $BINARY"
exec "$CURDIR"/$BINARY "$@"
# We should never reach this point, however just in case we do, run fallback
exec "$CURDIR"/llama-cpp-fallback "$@"