update readme for enviroment variable setting

README.md

@@ -181,17 +181,47 @@ pip install -r requirements.txt
 conda deactivate
 ```
 
-## **Setup Environment Variables** 
+## **Setup Environment Variables**
 
-In the `owl/.env_template` file, you will find all the necessary API keys along with the websites where you can register for each service. To use these API services, follow these steps:
+OWL requires various API keys to interact with different services. The `owl/.env_template` file contains placeholders for all necessary API keys along with links to the services where you can register for them.
 
-1. *Copy and Rename*: Duplicate the `.env_template` file and rename the copy to `.env`.
-```bash
-cp owl/.env_template .env
-```
-2. *Fill in Your Keys*: Open the `.env` file and insert your API keys in the corresponding fields.  (For the minimal example (`run_mini.py`), you only need to configure the LLM API key (e.g., OPENAI_API_KEY).)
-3. *For using more other models*: please refer to our CAMEL models docs:https://docs.camel-ai.org/key_modules/models.html#supported-model-platforms-in-camel
+### Option 1: Using a `.env` File (Recommended)
+
+1. **Copy and Rename the Template**:
+   ```bash
+   cd owl
+   cp .env_template .env
+   ```
+
+2. **Configure Your API Keys**:
+   Open the `.env` file in your preferred text editor and insert your API keys in the corresponding fields.
+   
+   > **Note**: For the minimal example (`run_mini.py`), you only need to configure the LLM API key (e.g., `OPENAI_API_KEY`).
+
+### Option 2: Setting Environment Variables Directly
+
+Alternatively, you can set environment variables directly in your terminal:
+
+- **macOS/Linux (Bash/Zsh)**:
+  ```bash
+  export OPENAI_API_KEY="your-openai-api-key-here"
+  ```
+
+- **Windows (Command Prompt)**:
+  ```batch
+  set OPENAI_API_KEY="your-openai-api-key-here"
+  ```
+
+- **Windows (PowerShell)**:
+  ```powershell
+  $env:OPENAI_API_KEY = "your-openai-api-key-here"
+  ```
+
+> **Note**: Environment variables set directly in the terminal will only persist for the current session.
+
+### Additional Models
 
+For information on configuring other AI models beyond OpenAI, please refer to our [CAMEL models documentation](https://docs.camel-ai.org/key_modules/models.html#supported-model-platforms-in-camel).
 
 > **Note**: For optimal performance, we strongly recommend using OpenAI models. Our experiments show that other models may result in significantly lower performance on complex tasks and benchmarks.
 

README_zh.md

@@ -1,6 +1,6 @@
 <h1 align="center">
 	🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
-  🦉 OWL: 优化劳动力学习的通用智能体，用于处理现实世界的自动化任务
+	🦉 OWL: 优化劳动力学习的通用智能体，用于处理现实世界的自动化任务
 </h1>
 
 
@@ -180,15 +180,47 @@ pip install -r requirements.txt
 conda deactivate
 ```
 
-## **设置环境变量**  
+## **设置环境变量**
 
-在 `owl/.env_template` 文件中，你可以找到所有必要的 API 密钥以及各服务的注册网址。要使用这些 API 服务，请按照以下步骤操作：
+OWL 需要各种 API 密钥来与不同的服务进行交互。`owl/.env_template` 文件包含了所有必要 API 密钥的占位符，以及可以注册这些服务的链接。
 
-1. *复制并重命名*: 复制 `.env_template` 文件，并将副本重命名为 `.env`。
-2. *填写你的密钥*: 打开 `.env` 文件，在相应字段中填入你的 API 密钥。 
-3. *如需使用更多其他模型*：请参考我们CAMEL的models文档：https://docs.camel-ai.org/key_modules/models.html#supported-model-platforms-in-camel
+### 选项 1：使用 `.env` 文件（推荐）
 
-> **注意**：为获得最佳性能，我们强烈建议使用 OpenAI 模型。我们通过测试发现，其他模型在处理复杂任务和基准测试时可能会导致性能显著降低。
+1. **复制并重命名模板**：
+   ```bash
+   cd owl
+   cp .env_template .env
+   ```
+
+2. **配置你的 API 密钥**：
+   在你喜欢的文本编辑器中打开 `.env` 文件，并在相应字段中插入你的 API 密钥。
+   
+   > **注意**：对于最小示例（`run_mini.py`），你只需要配置 LLM API 密钥（例如，`OPENAI_API_KEY`）。
+
+### 选项 2：直接设置环境变量
+
+或者，你可以直接在终端中设置环境变量：
+
+- **macOS/Linux (Bash/Zsh)**：
+  ```bash
+  export OPENAI_API_KEY="你的-openai-api-密钥"
+  ```
+
+- **Windows (命令提示符)**：
+  ```batch
+  set OPENAI_API_KEY="你的-openai-api-密钥"
+  ```
+
+- **Windows (PowerShell)**：
+  ```powershell
+  $env:OPENAI_API_KEY = "你的-openai-api-密钥"
+  ```
+
+> **注意**：直接在终端中设置的环境变量仅在当前会话中有效。
+
+### 其他模型
+
+有关配置 OpenAI 以外的其他 AI 模型的信息，请参阅我们的 [CAMEL 模型文档](https://docs.camel-ai.org/key_modules/models.html#supported-model-platforms-in-camel)。
 
 ## **使用Docker运行**
 

owl/.env_template

@@ -1,7 +1,7 @@
 # MODEL & API (See https://docs.camel-ai.org/key_modules/models.html#)
 
 # OPENAI API
-OPENAI_API_KEY= ""
+# OPENAI_API_KEY= ""
 # OPENAI_API_BASE_URL=""
 
 # Qwen API (https://help.aliyun.com/zh/model-studio/developer-reference/get-api-key)