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Roo Code 3.26.5 Release Notes (2025-09-03)

This release adds support for the Qwen3 235B Thinking model with a 262K context window, introduces configurable embedding batch sizes for code indexing, and improves MCP resource auto-approval.

Provider Updates​

  • Qwen3 235B Thinking Model: Added support for Qwen3-235B-A22B-Thinking-2507 model with an impressive 262K context window, enabling processing of extremely long documents and large codebases in a single request through the Chutes provider (thanks mohammad154, apple-techie!) (#7578)

QOL Improvements​

  • MCP Resource Auto-Approval: MCP resource access requests are now automatically approved when auto-approve is enabled, eliminating manual approval steps and enabling smoother automation workflows (thanks m-ibm!) (#7606)
  • Message Queue Performance: Improved message queueing reliability and performance by moving the queue management to the extension host, making the interface more stable (#7604)

Bug Fixes​

  • Configurable Embedding Batch Size: Fixed an issue where users with API providers having stricter batch limits couldn't use code indexing. You can now configure the embedding batch size (1-2048, default: 400) to match your provider's limits (thanks BenLampson!) (#7464)
  • OpenAI-Native Cache Reporting: Fixed cache usage statistics and cost calculations when using the OpenAI-Native provider with cached content (#7602)