graphsignal-sdk
OfficialInstrument Python AI workloads with Graphsignal.
Authorgraphsignal
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Graphsignal SDK helps observe, profile, and debug AI inference workloads in Python by providing high-resolution profiling timelines, per-step tracing, and system metrics, enabling faster diagnosis and optimization.
Core Features & Use Cases
- Auto-instrumentation for vLLM, SGLang, and PyTorch to capture traces, profiles, and metrics
- Manual tracing and profiling APIs to annotate and measure custom code paths
- GPU/CUPTI support for CUDA-based profiling and integration via graphsignal-run CLI
Quick Start
Install the Graphsignal SDK and configure it with your API key; then run your application with graphsignal-run to enable automatic instrumentation and observability.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: graphsignal-sdk Download link: https://github.com/graphsignal/graphsignal-python/archive/main.zip#graphsignal-sdk Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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