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Free Ride - Unlimited free AI

核心功能:为OpenClaw配置OpenRouter免费AI模型,自动筛选最优主模型,配置排序后的fallback应对限流,支持多CLI命令管理模型(切换、查看、刷新等),还提供后台守护进程自动恢复模型链。典型场景:用户想用免费AI、遇限流、需切换模型或降成本时使用。输入为CLI命令,输出为更新OpenClaw配置及状态反馈,操作后需重启网关生效。

shaivpidadi
shaivpidadi
热度 99.97
最近更新 2026-05-11 15:53:52
分类:自动化依赖:代码执行 / 读写文件 / 第三方 API应用场景:自动化脚本 / API 集成 / DevOps

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add free-ride
Metadata
name
freeride
description
Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates openclaw.json. Use when the user mentions free AI, OpenRouter, model switching, rate limits, or wants to reduce AI costs.
env
[{"name":"OPENROUTER_API_KEY","description":"OpenRouter API key — get a free one at openrouter.ai/keys","required":true,"secret":true}]
network
["openrouter.ai"]
writes
[{"~/.openclaw/openclaw.json (keys":"agents.defaults.model, agents.defaults.models only)"},"~/.openclaw/.freeride-cache.json","~/.openclaw/.freeride-watcher-state.json"]
install
pip install -e .

FreeRide - Free AI for OpenClaw

What This Skill Does

Configures OpenClaw to use free AI models from OpenRouter. Sets the best free model as primary, adds ranked fallbacks so rate limits don't interrupt the user, and preserves existing config.

Prerequisites

Before running any FreeRide command, ensure:

  1. OPENROUTER_API_KEY is set. Check with echo $OPENROUTER_API_KEY. If empty, the user must get a free key at https://openrouter.ai/keys and set it:

    export OPENROUTER_API_KEY="sk-or-v1-..."
    # Or persist it:
    openclaw config set env.OPENROUTER_API_KEY "sk-or-v1-..."
    
  2. The freeride CLI is installed. Check with which freeride. If not found:

    cd ~/.openclaw/workspace/skills/free-ride
    pip install -e .
    

Primary Workflow

When the user wants free AI, run these steps in order:

# Step 1: Configure best free model + fallbacks
freeride auto

# Step 2: Restart gateway so OpenClaw picks up the changes
openclaw gateway restart

That's it. The user now has free AI with automatic fallback switching.

Verify by telling the user to send /status to check the active model.

Commands Reference

Command When to use it
freeride auto User wants free AI set up (most common)
freeride auto -f User wants fallbacks but wants to keep their current primary model
freeride auto -c 10 User wants more fallbacks (default is 5)
freeride list User wants to see available free models
freeride list -n 30 User wants to see all free models
freeride switch <model> User wants a specific model (e.g. freeride switch qwen3-coder)
freeride switch <model> -f Add specific model as fallback only
freeride status Check current FreeRide configuration
freeride fallbacks Update only the fallback models
freeride refresh Force refresh the cached model list
freeride rotate User is rate-limited / fallback chain is dead — live-test and rebuild

After any command that changes config, always run openclaw gateway restart.

What It Writes to Config

FreeRide updates only these keys in ~/.openclaw/openclaw.json:

  • agents.defaults.model.primary — e.g. openrouter/qwen/qwen3-coder:free
  • agents.defaults.model.fallbacks — e.g. ["openrouter/free", "nvidia/nemotron:free", ...]
  • agents.defaults.models — allowlist so /model command shows the free models

Everything else (gateway, channels, plugins, env, customInstructions, named agents) is preserved.

The first fallback is always openrouter/free — OpenRouter's smart router that auto-picks the best available model based on the request.

Watcher (Background Daemon)

For autonomous recovery from a "whole chain is rate-limited" deadlock — which the agent can't fix by itself, since calling freeride rotate requires inference and inference is exactly what's failing — the user can run a slim background daemon:

# Foreground
freeride-watcher

# Persistent background
nohup freeride-watcher > ~/.openclaw/freeride-watcher.log 2>&1 &

# One-shot check (no loop)
freeride-watcher --once

# State / history
freeride-watcher --status

The daemon probes the current primary every 60s; if it fails, it rebuilds the chain with live-verified models. Recommend this whenever the user is leaving an unattended OpenClaw setup running.

Troubleshooting

Problem Fix
freeride: command not found cd ~/.openclaw/workspace/skills/free-ride && pip install -e .
OPENROUTER_API_KEY not set User needs a key from https://openrouter.ai/keys
Changes not taking effect openclaw gateway restart then /new for fresh session
Agent shows 0 tokens Check freeride status — primary should be openrouter/<provider>/<model>:free