UPSTREAM PR #21405: vendor : update cpp-httplib to 0.40.1#1331
UPSTREAM PR #21405: vendor : update cpp-httplib to 0.40.1#1331
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OverviewSingle commit updates cpp-httplib vendor library (0.40.0 → 0.40.1). Analysis covers 125,669 functions across 15 binaries: 146 modified (0.12%), 186 new (0.15%), 93 removed (0.07%), 125,244 unchanged (99.66%). Power consumption changes (all <0.2%):
Key finding: Major HTTP/WebSocket client initialization improvements (85-88% faster) with minor regressions in non-critical utility functions. Function AnalysisMajor Improvements (HTTP Client Initialization): httplib::Client::Client() (llama-bench, llama-tts, llama-cvector-generator):
httplib::WebSocketClient::WebSocketClient() (llama-bench, llama-tts, llama-cvector-generator):
STL Template Improvements (llama-tts):
Minor Regressions (Non-Critical Paths): std::make_error_code() (llama-bench):
serialize_parser_variant() (llama-cvector-generator):
httplib::ClientImpl::stop() (llama-bench):
Other analyzed functions (std::swap, std::function::operator=, SSEClient::set_headers, Jinja template utilities) showed minor regressions (65-86 ns) in non-critical paths due to compiler code generation changes. Flame Graph ComparisonSelected function: httplib::Client::Client() (llama-tts) — best illustrates the 88% response time improvement from regex elimination. Base version: Target version: Base version dominated by regex compilation ( Additional FindingsZero impact on core inference operations: All changes isolated to HTTP/networking infrastructure. No modifications to performance-critical paths: matrix operations (GEMM), attention mechanisms, KV cache, quantization kernels, or GPU backends (CUDA, Metal, HIP, Vulkan, SYCL). Core inference libraries (libllama.so, libggml.so, libggml-cpu.so) show 0.000% power consumption change. Architectural alignment: Update follows llama.cpp's philosophy of using specialized implementations over generic libraries. HTTP client initialization improvements benefit model downloading, API communication, and benchmarking infrastructure without touching inference engine. 💬 Questions? Tag @loci-dev |
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Note
Source pull request: ggml-org/llama.cpp#21405
Overview
Additional information
Requirements
RequestHandlerTest.ResponseUserDataInPreRoutingsegfaulting yhirose/cpp-httplib#2416)