docs: add Gemma 4 to Model Agnostic feature description

README.md

@@ -15,7 +15,7 @@ Build AI agent teams that decompose goals into tasks automatically. Define agent
 - **Auto Task Decomposition** — Describe a goal in plain text. A built-in coordinator agent breaks it into a task DAG with dependencies and assignees — no manual orchestration needed.
 - **Multi-Agent Teams** — Define agents with different roles, tools, and even different models. They collaborate through a message bus and shared memory.
 - **Task DAG Scheduling** — Tasks have dependencies. The framework resolves them topologically — dependent tasks wait, independent tasks run in parallel.
-- **Model Agnostic** — Claude, GPT, and local models (Ollama, vLLM, LM Studio) in the same team. Swap models per agent via `baseURL`.
+- **Model Agnostic** — Claude, GPT, Gemma 4, and local models (Ollama, vLLM, LM Studio) in the same team. Swap models per agent via `baseURL`.
 - **In-Process Execution** — No subprocess overhead. Everything runs in one Node.js process. Deploy to serverless, Docker, CI/CD.
 
 ## Quick Start

README_zh.md

@@ -15,7 +15,7 @@
 - **自动任务拆解** — 用自然语言描述目标，内置的协调者智能体自动将其拆解为带依赖关系和分配的任务图——无需手动编排。
 - **多智能体团队** — 定义不同角色、工具甚至不同模型的智能体。它们通过消息总线和共享内存协作。
 - **任务 DAG 调度** — 任务之间存在依赖关系。框架进行拓扑排序——有依赖的任务等待，无依赖的任务并行执行。
-- **模型无关** — Claude、GPT 和本地模型（Ollama、vLLM、LM Studio）可以在同一个团队中使用。通过 `baseURL` 即可接入任何 OpenAI 兼容服务。
+- **模型无关** — Claude、GPT、Gemma 4 和本地模型（Ollama、vLLM、LM Studio）可以在同一个团队中使用。通过 `baseURL` 即可接入任何 OpenAI 兼容服务。
 - **进程内执行** — 没有子进程开销。所有内容在一个 Node.js 进程中运行。可部署到 Serverless、Docker、CI/CD。
 
 ## 快速开始