context-profiler is an open-source CLI tool for profiling the context window usage of LLM agents. It provides framework-agnostic analysis of token usage, helping AI developers and researchers optimize agent performance and resource consumption.
context-profiler sits in PulseGate's LLM eval & observability category. It focuses on profiling and analyzing the context window usage of LLM agents to optimize performance and cost. It is built as an open-source project for AI developers and researchers. The project is open source (MIT). context-profiler is available on the command line.
Behind context-profiler is yanpgwang, and it first shipped in 2026. Development happens publicly on GitHub with 20 commits in the last 90 days. Among its 5 catalogued features are context window profiling, LLM agent support, and token usage analysis.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do