Clusters

This cluster addresses various issues related to model reasoning blocks and their integration with messaging platforms.

This cluster of pull requests focuses on enhancing model configuration options and ensuring proper fallback mechanisms for various model-related functionalities.

This cluster focuses on improving the auto-discovery and configuration of Ollama models within the framework.

This cluster focuses on improvements and fixes related to the user interface and model management within the OpenClaw framework.

This cluster addresses various issues related to model configuration and caching in the OpenClaw framework.

This cluster addresses various fixes and updates related to OpenAI model compatibility and functionality within the framework.

This cluster focuses on updates and fixes related to context window configurations and model compatibility in the OpenClaw framework.

This cluster addresses various issues related to model input handling and streaming configurations in the OpenClaw framework.

This cluster focuses on fixing bugs and enhancing the input schema to support audio and video modalities in the OpenClaw framework.

This cluster focuses on improvements and fixes related to the Gemini provider in the OpenClaw framework.

This cluster focuses on fixes and enhancements related to Bedrock model support and caching mechanisms within the AI agent framework.

This cluster focuses on fixes and features related to cooldown handling and fallback mechanisms for models in the AI agent framework.

This cluster focuses on adding support and fixes for the Gemini 3.1 Pro models, including compatibility and fallback mechanisms.

This cluster addresses improvements and fixes related to model fallback mechanisms and error handling in the AI agent framework.

This cluster focuses on enabling and fixing developer role management for DashScope and Qwen models within the framework.

This cluster focuses on improvements and fixes related to the Venice models in the OpenClaw framework.

This cluster focuses on improving the reliability and compliance of the Gemini batch API for embedding operations.

A collection of fixes related to the MiniMax API, including region detection, pricing constants, and tool-use repairs.

This cluster focuses on improvements and fixes for the Moonshot AI provider, particularly related to video understanding and role handling.

This cluster focuses on improving the handling and sanitization of reasoning blocks in OpenAI sessions.