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@tameflare/cli

v0.11.1

Published

TameFlare CLI - secure and govern AI agent traffic through a transparent proxy gateway

Vulnerabilities

Powered byPowered by Snyk
  • 0High
  • 0Medium
  • 0Low

Links

Git

Maintainers

tameflaretameflare

Keywords

tameflareaiagentfirewallproxygatewaysecuritygovernancecli

Readme

@tameflare/cli

The official CLI for TameFlare - secure and govern AI agent traffic through a cloud proxy gateway.

Install

npm i -g @tameflare/cli

Quick Start

# 1. Log in (opens browser)
tf login

# 2. Pick a gateway
tf init --list

# 3. Run your agent through the cloud proxy
tf run -- python agent.py

Commands

| Command | Description | |---------|-------------| | tf login | Authenticate via browser (saves credentials to ~/.tameflare/) | | tf logout | Remove saved credentials | | tf init | Select a gateway and save config to .tf/config.yaml | | tf run -- <cmd> | Run a process through the cloud proxy | | tf status | Show gateway config and connectivity | | tf logs | Open dashboard traffic view in browser | | tf reset | Remove .tf/ directory |

Connectors, permissions, approvals, and kill switch are managed in the dashboard.

How It Works

When you run tf run -- python agent.py, the CLI:

  1. Sets HTTPS_PROXY=https://{gateway_token}@proxy.tameflare.com
  2. Spawns your process with the proxy environment variable
  3. All outbound HTTP traffic routes through the cloud gateway
  4. The gateway parses requests, checks permissions, and logs everything

No local binary, no Docker, no server to manage. The gateway runs in the cloud at proxy.tameflare.com.

Requirements

  • Node.js >= 18

Links

License

ELv2