Real-time Statistical Process Control (SPC) monitoring for LLMs

PyPI-distributable LLM control plane: gateway choke point, cost attribution, OTel instrumentation, and offline reporting as an inspectable engineering artifact.

一个本地优先的 LLM 请求观测与调试代理工具，用于拦截、识别、解析和可视化各种 AI 客户端与中转站的请求和响应。

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`llmscope` is a Python library designed to simplify interactions with Large Language Models (LLMs) by providing a stateful, fluent interface for managing conversation history, tool usage, and response parsing. It leverages libraries like `mirascope` for LLM calls and `pydantic` for data validation and parsing.

LLMScope — open-source observability for LLM applications

This is the code base for llmscope playground

Pre-dispatch policy evaluation and cost attribution for LLM inference, built on llmscope.

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Policy-bounded decision traces for AI-assisted financial operations: versioned policy enforcement, human-in-the-loop gating, cost attribution, and auditable case outcomes.