Skip to content
All tags

#model-failover

2 posts
ai guide Reading the OpenClaw Docs

OpenClaw Models, Advanced: Two-Stage Failover, the Real Cooldown Numbers, and Prompt Caching

OpenClaw's failover runs in two stages: rotate auth profiles within the provider, then fall back to another model. But what really governs behavior is who chose the model — a model you picked yourself with /model is strict, and its failure is reported rather than answered by some other model.

#openclaw#llm#model-failover#prompt-caching#token-usage#cooldown
ai guide Reading the OpenClaw Docs

OpenClaw's Model Requirements and Provider Ecosystem: Provider, Model, and Runtime Are Three Different Things

OpenClaw's hard requirement for a model is tool use plus a large enough context — onboarding only auto-suggests a local model when it confirms tool support and at least a 16K context window. The easier thing to get wrong is that provider, model, and agent runtime are three separate layers: an `openai/*` ref does not mean Codex.

#openclaw#llm#anthropic#openai#gemini#model-failover#tool-use