From 9319380127867e23f975ad5e226201ca071ca8a0 Mon Sep 17 00:00:00 2001 From: Vlad Date: Tue, 3 Feb 2026 05:05:54 -0800 Subject: [PATCH] docs: fix grammar errors in README.md MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Fix subject-verb agreement: "It support" → "It supports" (2 instances) - Replace redundant "cross-language support" with "cross-language interoperability" --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 8f8dbb1821c8..91d365293b54 100644 --- a/README.md +++ b/README.md @@ -167,9 +167,9 @@ The AutoGen ecosystem provides everything you need to create AI agents, especial The _framework_ uses a layered and extensible design. Layers have clearly divided responsibilities and build on top of layers below. This design enables you to use the framework at different levels of abstraction, from high-level APIs to low-level components. -- [Core API](./python/packages/autogen-core/) implements message passing, event-driven agents, and local and distributed runtime for flexibility and power. It also support cross-language support for .NET and Python. +- [Core API](./python/packages/autogen-core/) implements message passing, event-driven agents, and local and distributed runtime for flexibility and power. It also supports cross-language interoperability for .NET and Python. - [AgentChat API](./python/packages/autogen-agentchat/) implements a simpler but opinionated API for rapid prototyping. This API is built on top of the Core API and is closest to what users of v0.2 are familiar with and supports common multi-agent patterns such as two-agent chat or group chats. -- [Extensions API](./python/packages/autogen-ext/) enables first- and third-party extensions continuously expanding framework capabilities. It support specific implementation of LLM clients (e.g., OpenAI, AzureOpenAI), and capabilities such as code execution. +- [Extensions API](./python/packages/autogen-ext/) enables first- and third-party extensions continuously expanding framework capabilities. It supports specific implementation of LLM clients (e.g., OpenAI, AzureOpenAI), and capabilities such as code execution. The ecosystem also supports two essential _developer tools_: