detect-agent 0.2.0


pip install detect-agent

  Latest version

Released: Apr 15, 2026


Meta
Requires Python: >=3.9

Classifiers

detect_agent

This is a Python Port of Vercels NPM package

A lightweight utility for detecting if code is being executed by an AI agent or automated development environment.

Installation

uv add detect_agent

Usage

from detect_agent import determine_agent

result = determine_agent()

if result["is_agent"]:
  print(f"Running in {result["agent"]["name"]} environment");

Supported Agents

This package can detect the following AI agents and development environments:

  • Custom agents via AI_AGENT environment variable
  • Cursor (cursor editor and cursor-cli)
  • Claude Code (Anthropic's Claude)
  • Devin (Cognition Labs)
  • Gemini CLI (Google)
  • Codex (OpenAI)
  • Antigravity (Google DeepMind)
  • GitHub Copilot (via AI_AGENT=github-copilot|github-copilot-cli, COPILOT_MODEL, COPILOT_ALLOW_ALL, or COPILOT_GITHUB_TOKEN)
  • Replit (online IDE)

The AI_AGENT Standard

We're promoting AI_AGENT as a universal environment variable standard for AI development tools. This allows any tool or library to easily detect when it's running in an AI-driven environment.

For AI Tool Developers

Set the AI_AGENT environment variable to identify your tool:

export AI_AGENT="your-tool-name"
# or
AI_AGENT="your-tool-name" your-command

Recommended Naming Convention

  • Use lowercase with hyphens for multi-word names
  • Include version information if needed, separated by an @ symbol
  • Examples: claude-code, cursor-cli, devin@1, custom-agent@2.0

Development

uv sync --extra dev
uv run pytest
# Lint and format check (CI)
uv run ruff check . && uv run ruff format --check .
# Fix and format
uv run ruff check . --fix && uv run ruff format .

Use Cases

Adaptive Behavior

from detect_agent import determine_agent
import os

def setup_environment():
  result = determine_agent()

  if (result["is_agent"]) {
    # Running in AI environment - adjust behavior
    os.environ.setdefault("TOGETHER_LOG", "debug")
    print(f"🤖 Detected AI agent: {result["agent"]["name"]}");

Telemetry and Analytics

from detect_agent import determine_agent

def track_usage(event: string):
  result = determine_agent();

  analytics.track(event, {
    "agent": result["agent"]["name"] if result["is_agent"] else "human",
  })

Adding New Agent Support

To add support for a new AI agent:

  1. Add detection logic to main.py
  2. Add comprehensive test cases in test.py
  3. Update this README with the new agent information
  4. Follow the existing priority order pattern

Wheel compatibility matrix

Platform Python 3
any

Files in release

Extras:
Dependencies: