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Data Science

freeride-opencode

by openclaw

Configure and optimize OpenCode Zen free models with smart fallbacks for subtasks, heartbeat, and cron jobs. Use when setting up cost-effective AI model routing with automatic failover between free models.

Installation

Pick a client and clone the repository into its skills directory.

Installation

Quick info

Author
openclaw
Category
Data Science
Views
4
GitHub repo

About this skill

Configure and optimize OpenCode Zen free models with smart fallbacks for subtasks, heartbeat, and cron jobs. Use when setting up cost-effective AI model routing with automatic failover between free models.

How to use

  1. Zarejestruj się na OpenCode.ai i uzyskaj klucz API OpenCode Zen, który będzie potrzebny do dostępu do modeli MiniMax M2.1, Kimi K2.5, GLM 4.7 i GPT 5 Nano. 2. Zarejestruj się na OpenRouter.ai i wygeneruj klucz API OpenRouter, wymagany do modeli Trinity Large i innych darmowych modeli z tej platformy. 3. Dodaj oba klucze do konfiguracji OpenCode w sekcji providers — upewnij się, że zarówno opencode, jak i openrouter są prawidłowo skonfigurowane. 4. Zastosuj konfigurację skill'u, ustawiając primary model na opencode/minimax-m2.1-free oraz dodając fallbacki w kolejności: openrouter/arcee-ai/trinity-large-preview:free i opencode/kimi-k2.5-free. 5. Dla heartbeat i subagentów przypisz dedykowane modele — heartbeat otrzyma opencode/glm-4.7-free, a subagenty opencode/kimi-k2.5-free. 6. Przetestuj konfigurację, wysyłając zapytanie do agenta — system automatycznie przełączy się na fallback, jeśli główny model będzie niedostępny.

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