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freeride

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.

Informações da origem

Repositório
Shaivpidadi/FreeRide
Última atividade na origem
7 de maio de 2026 às 20:29
Idioma detectado do SKILL.md
inglês
Estrelas
238
Forks
40

Opções de instalação

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Leia o SKILL.md e os arquivos complementares exibidos pelo SkillsMP antes de decidir se vai instalar.

Exibindo SKILL.md

SKILL.md
Instruções da origem · Visualização somente leitura
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: ```bash 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: ```bash cd ~/.openclaw/workspace/skills/free-ride pip install -e . ``` ## Primary Workflow When the user wants free AI, run these steps in order: ```bash # 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: ```bash # 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` |
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