Reasoning models (Qwen3, DeepSeek-R1, Gemma 3, etc.) emit chain-of-thought before the final answer. This multiplier scales every max_tokens cap for this endpoint to leave reasoning room. Defaults to 5x; raise it if responses come back truncated or empty, lower it (down to 1x) if you want tighter limits on a paid endpoint. Applied to Ollama and OpenAI-compatible endpoints — other cloud providers (OpenAI, Anthropic, Gemini) keep their original tight caps.
Asks the server to answer without thinking first, which is much faster. Unticked, the server decides (llama.cpp: --reasoning-budget). Works with Ollama, and on OpenAI-compatible servers (llama.cpp, vLLM) with models whose chat template supports enable_thinking (Qwen3 and others).
Your API key is stored locally and sent only to your chosen provider. On each detected change, the watch's diff and extracted text are sent to the LLM — no full page HTML.
✕ Clear all summary cache
Removes all cached AI change summaries across all watches. They will be regenerated on the next check.
Enables litellm verbose output (routed through loguru). Useful when diagnosing provider errors or empty responses. Leave off in production — generates a lot of log volume.