add Azure OpenAI API to GUI

README.md

@@ -307,6 +307,9 @@ python owl/run_deepseek_zh.py
 # Run with other OpenAI-compatible models
 python owl/run_openai_compatiable_model.py
 
+# Run with Azure OpenAI
+python owl/run_azure_openai.py
+
 # Run with Ollama
 python owl/run_ollama.py
 ```

README_zh.md

@@ -311,6 +311,9 @@ python owl/run_deepseek_zh.py
 # 使用其他 OpenAI 兼容模型运行
 python owl/run_openai_compatiable_model.py
 
+# 使用 Azure OpenAI模型运行
+python owl/run_azure_openai.py
+
 # 使用 Ollama 运行
 python owl/run_ollama.py
 ```

owl/.env_template

@@ -4,6 +4,13 @@
 # OPENAI_API_KEY= ""
 # OPENAI_API_BASE_URL=""
 
+# Azure OpenAI API
+AZURE_OPENAI_BASE_URL=""
+AZURE_API_VERSION=""
+AZURE_OPENAI_API_KEY=""
+AZURE_DEPLOYMENT_NAME=""
+
+
 # Qwen API (https://help.aliyun.com/zh/model-studio/developer-reference/get-api-key)
 # QWEN_API_KEY=""
 

owl/app.py

@@ -40,6 +40,7 @@ SCRIPTS = {
     "Default": "run.py",
     "GAIA Roleplaying": "run_gaia_roleplaying.py",
     "OpenAI Compatible": "run_openai_compatiable_model.py",
+    "Azure OpenAI": "run_azure_openai.py",
     "Ollama": "run_ollama.py",
     "Terminal": "run_terminal_zh.py",
 }
@@ -53,6 +54,7 @@ SCRIPT_DESCRIPTIONS = {
     "Default": "默认OWL实现，使用OpenAI GPT-4o模型和全套工具",
     "GAIA Roleplaying": "GAIA基准测试实现，用于评估模型能力",
     "OpenAI Compatible": "使用兼容OpenAI API的第三方模型，支持自定义API端点",
+    "Azure OpenAI": "使用Azure OpenAI API",
     "Ollama": "使用Ollama API",
     "Terminal": "使用本地终端执行python文件",
 }
@@ -74,6 +76,34 @@ ENV_GROUPS = {
             "required": False,
             "help": "OpenAI API的基础URL，可选。如果使用代理或自定义端点，请设置此项。",
         },
+        {
+            "name": "AZURE_OPENAI_KEY",
+            "label": "Azure OpenAI API密钥",
+            "type": "password",
+            "required": False,
+            "help": "Azure OpenAI API密钥，用于访问Azure部署的GPT模型",
+        },
+        {
+            "name": "AZURE_OPENAI_ENDPOINT",
+            "label": "Azure OpenAI端点",
+            "type": "text",
+            "required": False,
+            "help": "Azure OpenAI服务的端点URL",
+        },
+        {
+            "name": "AZURE_DEPLOYMENT_NAME",
+            "label": "Azure OpenAI部署名称",
+            "type": "text",
+            "required": False,
+            "help": "Azure OpenAI服务的部署名称",
+        },
+        {
+            "name": "AZURE_OPENAI_VERSION",
+            "label": "Azure OpenAI API版本",
+            "type": "text",
+            "required": False,
+            "help": "Azure OpenAI API版本，例如：2023-12-01-preview",
+        },
         {
             "name": "QWEN_API_KEY",
             "label": "阿里云Qwen API密钥",

owl/run_azure_openai.py

@@ -0,0 +1,114 @@
+# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
+import os
+from dotenv import load_dotenv
+from camel.configs import ChatGPTConfig
+from camel.models import ModelFactory
+from camel.toolkits import (
+    CodeExecutionToolkit,
+    ExcelToolkit,
+    ImageAnalysisToolkit,
+    SearchToolkit,
+    WebToolkit,
+    FileWriteToolkit,
+)
+from camel.types import ModelPlatformType
+
+from utils import OwlRolePlaying, run_society
+
+from camel.logger import set_log_level
+
+set_log_level(level="DEBUG")
+
+load_dotenv()
+
+
+def construct_society(question: str) -> OwlRolePlaying:
+    r"""Construct a society of agents based on the given question.
+
+    Args:
+        question (str): The task or question to be addressed by the society.
+
+    Returns:
+        OwlRolePlaying: A configured society of agents ready to address the question.
+    """
+
+    # Create models for different components using Azure OpenAI
+    base_model_config = {
+        "model_platform": ModelPlatformType.AZURE,
+         "model_type": os.getenv("AZURE_OPENAI_MODEL_TYPE"),
+        "model_config_dict": ChatGPTConfig(temperature=0.4, max_tokens=4096).as_dict(),
+    }
+
+    models = {
+        "user": ModelFactory.create(**base_model_config),
+        "assistant": ModelFactory.create(**base_model_config),
+        "web": ModelFactory.create(**base_model_config),
+        "planning": ModelFactory.create(**base_model_config),
+        "image": ModelFactory.create(**base_model_config),
+    }
+
+    # Configure toolkits
+    tools = [
+        *WebToolkit(
+            headless=False,  # Set to True for headless mode (e.g., on remote servers)
+            web_agent_model=models["web"],
+            planning_agent_model=models["planning"],
+        ).get_tools(),
+        *CodeExecutionToolkit(sandbox="subprocess", verbose=True).get_tools(),
+        *ImageAnalysisToolkit(model=models["image"]).get_tools(),
+        SearchToolkit().search_duckduckgo,
+        SearchToolkit().search_google,  # Comment this out if you don't have google search
+        SearchToolkit().search_wiki,
+        *ExcelToolkit().get_tools(),
+        *FileWriteToolkit(output_dir="./").get_tools(),
+    ]
+
+    # Configure agent roles and parameters
+    user_agent_kwargs = {"model": models["user"]}
+    assistant_agent_kwargs = {"model": models["assistant"], "tools": tools}
+
+    # Configure task parameters
+    task_kwargs = {
+        "task_prompt": question,
+        "with_task_specify": False,
+    }
+
+    # Create and return the society
+    society = OwlRolePlaying(
+        **task_kwargs,
+        user_role_name="user",
+        user_agent_kwargs=user_agent_kwargs,
+        assistant_role_name="assistant",
+        assistant_agent_kwargs=assistant_agent_kwargs,
+    )
+
+    return society
+
+
+def main():
+    r"""Main function to run the OWL system with Azure OpenAI."""
+    # Example question
+    question = "Navigate to Amazon.com and identify one product that is attractive to coders. Please provide me with the product name and price. No need to verify your answer."
+
+    # Construct and run the society
+    society = construct_society(question)
+    answer, chat_history, token_count = run_society(society)
+
+    # Output the result
+    print(f"\033[94mAnswer: {answer}\033[0m")
+
+
+if __name__ == "__main__":
+    main()