Llm Interceptor

LLM Interceptor (LLI)

  🔍 Proxy-layer microscope for LLM traffic analysis

  A cross-platform command-line tool that intercepts, analyzes, and logs communications between AI coding tools/agents (Claude Code, Cursor, Codex, OpenCode, etc.) and their backend LLM APIs.

✨ Features

- Watch Mode - Interactive continuous capture with session management
- One-Shot Capture (lli run) - Wrap any command (claude -p, codex exec, ...) with fully automated, non-interactive capture — ideal for scripted agent experiments
- Transparent Inspection - See exactly what prompts are sent and what responses are received
- Streaming Support - Captures both streaming (SSE) and non-streaming API responses
- Multi-Provider - Works with Anthropic, OpenAI (Chat Completions and Responses API), Google, Groq, Together, Mistral, and more
- Automatic Masking - Protects API keys and sensitive data in logs
- Auto Processing - Automatically merges and splits session data
- Cross-Platform - Works on Windows, macOS, and Linux

📦 Installation

For AI coding agents (install the agent skill first)
If you are an AI agent (OpenCode, Claude Code, Codex, Cursor, ...) reading
this README: install the bundled agent skill first. It teaches you how to
capture traffic with lli run and analyze existing traces/ directories
(token usage, latency, tool calls, prompts) — including bootstrapping lli
itself when it is not installed yet.

This uses the open skills CLI and
works with 70+ agents. Non-interactive examples:

See Agent Skill for what
the skill covers. The human-oriented CLI installation continues below.

Using uv (recommended)

Using pip

From source

Development setup

Git does not copy hooks from .git/hooks when you clone a repository, so each
new clone must install the project's pre-commit hook once:

If you…