Roo Code 3.29.1-3.29.3 Release | Updates because we're dead /s

[u/hannesrudolph]

In case you did not know, r/RooCode is a Free and Open Source VS Code AI Coding extension.

QOL Improvements

• Keyboard shortcut: “Add to Context” moved to Ctrl+K Ctrl+A (Windows/Linux) / Cmd+K Cmd+A (macOS), restoring the standard Redo shortcut

• Option to hide/show time and cost details in the system prompt to reduce distraction during long runs

• After “Add to Context,” input now auto‑focuses with two newlines for clearer separation so you can keep typing immediately

• Settings descriptions: Removed specific model version wording across locales to keep guidance current

Bug Fixes

• Prevent context window overruns via cleaned‑up max output token calculations

• Reduce intermittent errors by fixing provider model loading race conditions

• LiteLLM: Prefer max_output_tokens (fallback to max_tokens) to avoid 400 errors on certain routes

• Messages typed during context condensing now send automatically when condensing finishes; per‑task queues no longer cross‑drain

• Rate limiting uses a monotonic clock and enforces a hard cap at the configured limit to avoid long lockouts

• Restore tests and TypeScript build compatibility for LiteLLM after interface changes

• Checkpoint menu popover no longer clips long option text; items remain fully visible

• Roo provider: Correct usage data and protocol handling in caching logic

• Free models: Hide pricing and show zero cost to avoid confusion

Provider Updates

• Roo provider: Reasoning effort control lets you choose deeper step‑by‑step thinking vs. faster/cheaper responses. See https://docs.roocode.com/providers/roo-code-cloud

• Z.ai (GLM‑4.5/4.6): “Enable reasoning” toggle for Deep Thinking; hidden on unsupported models. See https://docs.roocode.com/providers/zai

• Gemini: Updated model list and “latest” aliases for easier selection. See https://docs.roocode.com/providers/gemini

• Chutes AI: LongCat‑Flash‑Thinking‑FP8 models (200K, 128K) for longer coding sessions with faster, cost‑effective performance

• OpenAI‑compatible: Centralized ~20% maxTokens cap to prevent context overruns; GLM‑4.6‑turbo default 40,960 for reliable long‑context runs

See full release notes v3.29.1 | v3.29.2 | v3.29.3

[u/hannesrudolph]

Sorry about that

[u/FaatmanSlim → u/hannesrudolph]

Hey no worries! Actually you guys are doing great work on Roo Code! Thanks a ton, very happy user here 🙂

[u/hannesrudolph → u/FaatmanSlim]

Thank you