update readmes docs about coagent

README.md

@@ -14,6 +14,7 @@ DevOps-ChatBot是由蚂蚁CodeFuse团队开发的开源AI智能助手，致力
 
 
 ## 🔔 更新
+- [2024.01.29] 开放可配置化的multi-agent框架：coagent，详情见[使用说明](sources/readme_docs/coagent/coagent.md)
 - [2023.12.26] 基于FastChat接入开源私有化大模型和大模型接口的能力开放
 - [2023.12.14] 量子位公众号专题报道：[文章链接](https://mp.weixin.qq.com/s/MuPfayYTk9ZW6lcqgMpqKA)
 - [2023.12.01] Multi-Agent和代码库检索功能开放

README_en.md

@@ -13,6 +13,7 @@ This project is an open-source AI intelligent assistant, specifically designed f
 
 
 ## 🔔 Updates
+- [2024.01.29] A configurational multi-agent framework, CoAgent, has been open-sourced. For more details, please refer to [coagent](sources/readme_docs/coagent/coagent-en.md)
 - [2023.12.26] Opening the capability to integrate with open-source private large models and large model interfaces based on FastChat
 - [2023.12.01] Release of Multi-Agent and codebase retrieval functionalities.
 - [2023.11.15] Addition of Q&A enhancement mode based on the local codebase.

sources/readme_docs/coagent/agent-flow-en.md

@@ -1,4 +1,7 @@
 
+## Attention
+Attention：The overall content is not yet complete, and further refinements to the flow and other Agent diagrams will be made in the future.
+
 ## Introduction to Core Connectors
 To facilitate everyone's understanding of the entire CoAgent link, we use a Flow format to detail how to build through configuration settings.
 

sources/readme_docs/coagent/agent-flow.md

@@ -1,4 +1,8 @@
 
+
+## 注意
+注意：整体内容未完善，后续还会完善flow和其它Agent的图例
+
 ## 核心Connector介绍
 为了便于大家理解整个 CoAgent 的链路，我们采取 Flow 的形式来详细介绍如何通过配置构建
 

sources/readme_docs/coagent/coagent-en.md

@@ -34,7 +34,7 @@ The following modules will introduce the necessary components of the Multi Agent
 In summary, these five elements together construct a Multi-Agent framework, ensuring closer and more efficient cooperation between Agents while also adapting to more complex task requirements and a variety of interaction scenarios. By combining multiple Agent chains to implement a complete and complex project launch scenario (Dev Phase), such as Demand Chain (CEO), Product Argument Chain (CPO, CFO, CTO), Engineer Group Chain (Selector, Developer1~N), QA Engineer Chain (Developer, Tester), Deploy Chain (Developer, Deployer).
 
 ## 模块分类
-- [connector](/sources/readme_docs/coagent/connector.md)
+- [connector](/sources/readme_docs/coagent/connector/connector_agent.md)
 - document_loaders
 - embeddings
 - llm_models

sources/readme_docs/coagent/coagent.md

@@ -38,7 +38,7 @@
 
 
 ## 模块分类
-- [connector](/sources/readme_docs/coagent/connector.md)
+- [connector](/sources/readme_docs/coagent/connector/connector_agent.md)
 - document_loaders
 - embeddings
 - llm_models

sources/readme_docs/coagent/quick-start-en.md

@@ -11,6 +11,11 @@ aliases:
 
 
 ## Quick Start
+Attention：
+Testing has only been conducted on GPT-3.5-turbo and higher models. 
+The models need to possess strong command-following capabilities. 
+It is recommended to test with more powerful models like qwen-72b, openai, etc.
+
 ### First, set up the LLM configuration
 ```
 import os, sys

sources/readme_docs/coagent/quick-start.md

@@ -10,6 +10,10 @@ aliases:
 
 
 ## 快速使用
+注意：
+只在GPT-3.5-turbo及以上模型进行过测试。需要模型具备较强的指令遵循能力。
+推荐拿qwen-72b、openai等较强的模型进行测试
+
 ### 首先，填写LLM配置
 ```
 import os, sys