diff --git a/docs/README.en.md b/docs/README.en.md
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π swarm-sample-box π
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+[![GitHub Repo](https://img.shields.io/badge/github-swarm__sample__box-blue?logo=github)](https://github.com/Sunwood-ai-labs/swarm-sample-box)
+[![License](https://img.shields.io/github/license/Sunwood-ai-labs/swarm-sample-box?color=green)](https://github.com/Sunwood-ai-labs/swarm-sample-box/blob/main/LICENSE)
+[![GitHub stars](https://img.shields.io/github/stars/Sunwood-ai-labs/swarm-sample-box?style=social)](https://github.com/Sunwood-ai-labs/swarm-sample-box/stargazers)
+[![GitHub release](https://img.shields.io/github/v/release/Sunwood-ai-labs/swarm-sample-box?include_prereleases&style=flat-square)](https://github.com/Sunwood-ai-labs/swarm-sample-box/releases)
+... (Other badges are similarly linked and self-explanatory)
ο½ Experimental Playground for AI Agent Orchestration ο½
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+ [![JA doc](https://img.shields.io/badge/γγγ₯γ‘γ³γ-ζ₯ζ¬θͺ-white.svg)](https://github.com/Sunwood-ai-labs/swarm-sample-box/blob/main/README.md)
+ [![EN doc](https://img.shields.io/badge/english-document-white.svg)](https://github.com/Sunwood-ai-labs/swarm-sample-box/blob/main/docs/README.en.md)
> [!IMPORTANT]
-> swarm-sample-box is a template repository developed using [cline (formerly Claude Dev)](https://github.com/clinebot/cline), [SourceSage](https://github.com/Sunwood-ai-labs/SourceSage), and [claude.ai](https://claude.ai/). The majority of the release notes, README, and commit messages have been generated using state-of-the-art AI technology.
+> swarm-sample-box is a template repository developed using [cline (formerly Claude Dev)](https://github.com/clinebot/cline), [SourceSage](https://github.com/Sunwood-ai-labs/SourceSage), and [claude.ai](https://claude.ai/). Most of the release notes, README, and commit messages are generated using the latest AI technologies.
## π Project Overview
-Swarm Sample Box is an AI agent experimentation repository utilizing [Swarm, an experimental multi-agent orchestration framework developed by OpenAI](https://github.com/openai/swarm). This repository provides a lightweight and flexible solution for efficiently coordinating multiple AI agents to perform complex tasks, supporting developers' research and experimentation. Version: v1.5.0
+Swarm Sample Box is an AI agent experimental repository that utilizes [Swarm, an experimental multi-agent orchestration framework developed by OpenAI](https://github.com/openai/swarm). This repository provides a lightweight and flexible solution for efficiently coordinating multiple AI agents to perform complex tasks, supporting developers' research and experimentation. Version: v1.3.1
## β¨ Main Features
-- Diverse Agent Samples: Provides implementation examples of various AI agents, from basic conversations to complex task processing.
-- Flexible Customization: Each sample can be easily extended and modified to adapt to your own use cases.
-- Integrated Experimental Environment: Offers a practical experimental environment, including Docker environment and integration with a vector database (Qdrant).
-- Automatic Evaluation Function: Some samples include automatic evaluation scripts to measure agent performance.
-- Gemini Pro 002 model support
+1. **Diverse Agent Samples**: Provides implementation examples of various AI agents, ranging from basic dialogue to complex task processing.
+2. **Flexible Customization**: Each sample can be easily extended and modified, adaptable to your own use cases.
+3. **Integrated Experimental Environment**: Provides a practical experimental environment, including integration with Docker environments and vector databases (Qdrant).
+4. **Automatic Evaluation Function**: Some samples include automatic evaluation scripts, allowing for agent performance measurement.
+5. π **Sample Question Display Function**: Added a function to display sample questions to the user.
+
-## π§ Usage
+## π§ Setup and Usage
1. Clone the repository:
```bash
@@ -64,66 +54,66 @@ Swarm Sample Box is an AI agent experimentation repository utilizing [Swarm, an
pip install -r requirements.txt
```
-4. Set your OpenAI API key:
+4. Set the OpenAI API key:
```bash
export OPENAI_API_KEY="your-api-key"
```
5. Run a specific sample:
```bash
- cd examples/
+ cd examples/
python main.py
```
+## π Sample List
-## π¦ Installation Instructions
+### Official Samples (Translated to Japanese)
-The `swarm` package needs to be installed from the GitHub repository, not PyPI, as specified in `requirements.txt`. Therefore, please install it using pip as follows:
+The following samples are Japanese translations of the samples listed in the [official OpenAI Swarm repository](https://github.com/openai/swarm/tree/main/examples), modified to be operational:
-```bash
-pip install -r requirements.txt
-# or
-pip install git+https://github.com/openai/swarm.git
-```
+- [Basic](https://github.com/Sunwood-ai-labs/swarm-sample-box/tree/main/examples/basic): A minimal implementation example introducing the basic functions of Swarm.
+- [Airline](https://github.com/Sunwood-ai-labs/swarm-sample-box/tree/main/examples/airline): A multi-agent setup simulating an airline's customer service.
+- [Personal Shopper](https://github.com/Sunwood-ai-labs/swarm-sample-box/tree/main/examples/personal_shopper): An implementation example of a personal shopping assistant agent.
+- [Support Bot](https://github.com/Sunwood-ai-labs/swarm-sample-box/tree/main/examples/support_bot): An implementation example of a customer support bot, including a document search function using Qdrant.
+- [Triage Agent](https://github.com/Sunwood-ai-labs/swarm-sample-box/tree/main/examples/triage_agent): An implementation example of a triage agent that directs user requests to the appropriate agent.
+- [Weather Agent](https://github.com/Sunwood-ai-labs/swarm-sample-box/tree/main/examples/weather_agent): A simple implementation example of an agent that retrieves weather information and performs related tasks. (π₯Under Development)
+- [Customer Service Streaming](https://github.com/Sunwood-ai-labs/swarm-sample-box/tree/main/examples/customer_service_streaming): A sample simulating customer service in a streaming format. (π₯Under Development)
-## π What's New
-
-- The README for the Triage Agent sample has been significantly improved, adding a workflow diagram, setup instructions, evaluation tests, file structure, contribution guidelines, and license information.
-- Added Gemini Pro 002 model support to the Triage Agent sample.
+### Original Samples
+This section will introduce originally developed samples. Currently under preparation, so please wait for future updates.
-## π Sample List
+- [In preparation] New original sample 1: Details coming soon
+- [In preparation] New original sample 2: Details coming soon
-### Official Samples (Translated to Japanese)
+## π§ͺ Evaluation Method
-- Basic: A minimal implementation example showcasing basic Swarm functionality.
-- Airline: A multi-agent setup simulating an airline's customer service.
-- Personal Shopper: An implementation example of a personal shopping assistant agent.
-- Support Bot: An implementation example of a customer support bot, including a document search function using Qdrant.
-- Triage Agent: An implementation example of a triage agent that directs user requests to the appropriate agent.
-- Weather Agent: A simple agent implementation example that retrieves weather information and performs related tasks (under development).
-- Customer Service Streaming: A sample simulating customer service in a streaming format (under development).
+Some samples include automatic evaluation scripts. To run the evaluation, execute the following command in the sample directory:
-### Original Samples
+```bash
+pytest evals.py
+```
-This section will introduce original samples that we have developed. Currently under preparation, so please wait for future updates.
+## π¦ Upgrade Procedure
-- [In preparation] New Original Sample 1: Details coming soon.
-- [In preparation] New Original Sample 2: Details coming soon.
+1. Clone or pull the latest version of the repository.
+2. Update dependencies with `make install`.
+3. Restart the Docker container with `docker-compose up -d`. (For Support Bot, also run `make prep`)
+4. Run the data preparation script with `make prep` in the relevant sample.
+5. Run the application with `make run`.
## π€ Contribution
-Swarm Sample Box welcomes contributions from the community as an open-source project. We welcome any kind of contribution, such as adding new samples, improving existing samples, and expanding documentation.
-
+Swarm Sample Box welcomes contributions from the community as an open-source project. We welcome contributions in any form, such as adding new samples, improving existing samples, and expanding documentation.
## π License
-Swarm Sample Box is released under the [MIT License](LICENSE).
+Swarm Sample Box is published under the [MIT License](LICENSE).
## π Acknowledgements
-This project is based on the Swarm framework developed by OpenAI. We express our sincere gratitude to the Swarm developers. Contributors to this release: Maki, iris-s-coon
+This project is based on the Swarm framework developed by OpenAI. We express our sincere gratitude to the developers of Swarm. Contributors to this release: Maki, iris-s-coon
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