Roo Code Trips LM Studio Timeouts

This reads more like a local-inference plumbing problem than a simple “too much context” mistake. Roo Code is built to work with local models, but there are already reports of LM Studio requests stalling around the five-minute mark and of LM Studio context detection going wrong, which matches the symptom pattern here.

• –Roo Code’s own docs position it as model-agnostic and compatible with local LLMs, but that flexibility also means it inherits whatever latency and streaming behavior the backend exposes.
• –Qwen 27B/35B on local hardware can be slow enough that Roo’s request window gets stressed even when the codebase itself is small.
• –The user’s timeout tweak not helping is a useful clue: this looks like a hard cutoff or disconnect path in the Roo/LM Studio integration, not just a config typo.
• –Qwen reasoning-style responses can extend generation time and make “still thinking” look like a network failure when the client gives up first.
• –For reliability, a thinner OpenAI-compatible local backend with more predictable streaming may outperform LM Studio for long Roo sessions.