添加硅基流动配置及调用脚本，使OWL支持硅基流动接口调用。另外，修改example目录下的脚本执行方式为可传参动态提问。

README.md

@@ -126,6 +126,8 @@ https://github.com/user-attachments/assets/2a2a825d-39ea-45c5-9ba1-f9d58efbc372
 
 https://private-user-images.githubusercontent.com/55657767/420212194-e813fc05-136a-485f-8df3-f10d9b4e63ec.mp4
 
+https://github.com/camel-ai/owl/blob/43984bfc968d62e7174b0c1e6283fefe08c44b45/OWL之Excel文件处理.mp4
+
 # ✨️ Core Features
 
 - **Online Search**: Support for multiple search engines (including Wikipedia, Google, DuckDuckGo, Baidu, Bocha, etc.) for real-time information retrieval and knowledge acquisition.

README_zh.md

@@ -125,6 +125,8 @@ https://private-user-images.githubusercontent.com/55657767/420211368-f29f477d-7e
 
 https://private-user-images.githubusercontent.com/55657767/420212194-e813fc05-136a-485f-8df3-f10d9b4e63ec.mp4
 
+https://github.com/camel-ai/owl/blob/43984bfc968d62e7174b0c1e6283fefe08c44b45/OWL之Excel文件处理.mp4
+
 # ✨️ 核心功能
 
 - **在线搜索**：支持多种搜索引擎（包括维基百科、Google、DuckDuckGo、百度、博查等），实现实时信息检索与知识获取
@@ -327,7 +329,7 @@ npx -y @wonderwhy-er/desktop-commander setup --force-file-protocol
 # 🚀 快速开始
 
 ## 基本用法
-   
+
 运行以下示例：
 
 ```bash

examples/run.py

@@ -29,7 +29,7 @@
 
 from owl.utils import run_society, DocumentProcessingToolkit
 
-import pathlib
+import pathlib, sys
 
 base_dir = pathlib.Path(__file__).parent.parent
 env_path = base_dir / "owl" / ".env"
@@ -131,7 +131,12 @@ def construct_society(question: str) -> RolePlaying:
 def main():
     r"""Main function to run the OWL system with an example question."""
     # Example research 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."
+    if len(sys.argv) > 1:
+        question = str(sys.argv[1])
+
+    else:
+        # Example research 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)

examples/run_SiliconFlow.py

@@ -0,0 +1,159 @@
+# ========= 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. =========
+
+# To run this file, you need to configure the Qwen API key
+# You can obtain your API key from Bailian platform: bailian.console.aliyun.com
+# Set it as QWEN_API_KEY="your-api-key" in your .env file or add it to your environment variables
+
+from dotenv import load_dotenv
+from camel.models import ModelFactory
+from camel.configs import SiliconFlowConfig
+from camel.toolkits import (
+    CodeExecutionToolkit,
+    ExcelToolkit,
+    ImageAnalysisToolkit,
+    SearchToolkit,
+    VideoAnalysisToolkit,
+    BrowserToolkit,
+    FileWriteToolkit,
+)
+from camel.types import ModelPlatformType, ModelType
+from camel.societies import RolePlaying
+
+from owl.utils import run_society, DocumentProcessingToolkit
+
+from camel.logger import set_log_level
+
+
+import pathlib, sys
+
+base_dir = pathlib.Path(__file__).parent.parent
+env_path = base_dir / "owl" / ".env"
+load_dotenv(dotenv_path=str(env_path))
+
+set_log_level(level="DEBUG")
+
+
+def construct_society(question: str) -> RolePlaying:
+    """
+    Construct a society of agents based on the given question.
+
+    Args:
+        question (str): The task or question to be addressed by the society.
+
+    Returns:
+        RolePlaying: A configured society of agents ready to address the question.
+    """
+
+    # Create models for different components
+    models = {
+        "user": ModelFactory.create(
+            model_platform=ModelPlatformType.SILICONFLOW,
+            model_type="Qwen/QwQ-32B",
+            model_config_dict=SiliconFlowConfig(temperature=0.2).as_dict(),
+        ),
+        "assistant": ModelFactory.create(
+            model_platform=ModelPlatformType.SILICONFLOW,
+            model_type="Qwen/QwQ-32B",
+            model_config_dict=SiliconFlowConfig(temperature=0.2).as_dict(),
+        ),
+        "web": ModelFactory.create(
+            model_platform=ModelPlatformType.SILICONFLOW,
+            model_type="Qwen/Qwen2-VL-72B-Instruct",
+            model_config_dict=SiliconFlowConfig(temperature=0.2).as_dict(),
+        ),
+        "planning": ModelFactory.create(
+            model_platform=ModelPlatformType.SILICONFLOW,
+            model_type="Qwen/QwQ-32B",
+            model_config_dict=SiliconFlowConfig(temperature=0.2).as_dict(),
+        ),
+        "video": ModelFactory.create(
+            model_platform=ModelPlatformType.SILICONFLOW,
+            model_type="Qwen/Qwen2-VL-72B-Instruct",
+            model_config_dict=SiliconFlowConfig(temperature=0.2).as_dict(),
+        ),
+        "image": ModelFactory.create(
+            model_platform=ModelPlatformType.SILICONFLOW,
+            model_type="Qwen/Qwen2-VL-72B-Instruct",
+            model_config_dict=SiliconFlowConfig(temperature=0.2).as_dict(),
+        ),
+        "document": ModelFactory.create(
+            model_platform=ModelPlatformType.SILICONFLOW,
+            model_type="Qwen/Qwen2-VL-72B-Instruct",
+            model_config_dict=SiliconFlowConfig(temperature=0.2).as_dict(),
+        ),
+    }
+
+    # Configure toolkits
+    tools = [
+        *BrowserToolkit(
+            headless=False,  # Set to True for headless mode (e.g., on remote servers)
+            web_agent_model=models["web"],
+            planning_agent_model=models["planning"],
+            output_language="Chinese",
+        ).get_tools(),
+        *VideoAnalysisToolkit(model=models["video"]).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,
+        SearchToolkit().search_baidu,
+        *ExcelToolkit().get_tools(),
+        *DocumentProcessingToolkit(model=models["document"]).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 = RolePlaying(
+        **task_kwargs,
+        user_role_name="user",
+        user_agent_kwargs=user_agent_kwargs,
+        assistant_role_name="assistant",
+        assistant_agent_kwargs=assistant_agent_kwargs,
+        output_language="Chinese",
+    )
+
+    return society
+
+
+def main():
+    r"""Main function to run the OWL system with an example question."""
+    # Example research question
+    if len(sys.argv) > 1:
+        question = str(sys.argv[1])
+
+    else:
+        question = "浏览百度告诉我未来一周北京天气！并帮我制定北京的旅游计划！"
+    # 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()

examples/run_azure_openai.py

@@ -29,7 +29,7 @@
 
 from camel.logger import set_log_level
 
-import pathlib
+import pathlib, sys
 
 base_dir = pathlib.Path(__file__).parent.parent
 env_path = base_dir / "owl" / ".env"
@@ -104,7 +104,12 @@ def construct_society(question: str) -> OwlRolePlaying:
 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."
+    if len(sys.argv) > 1:
+        question = str(sys.argv[1])
+
+    else:
+        # Example research 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)

examples/run_deepseek_zh.py

@@ -33,7 +33,7 @@
 
 from owl.utils import run_society
 
-import pathlib
+import pathlib, sys
 
 set_log_level(level="DEBUG")
 
@@ -102,7 +102,12 @@ def construct_society(question: str) -> RolePlaying:
 def main():
     r"""Main function to run the OWL system with an example question."""
     # Example research question
-    question = "搜索OWL项目最近的新闻并生成一篇报告，最后保存到本地。"
+    if len(sys.argv) > 1:
+        question = str(sys.argv[1])
+
+    else:
+        # Example research question
+        question = "搜索OWL项目最近的新闻并生成一篇报告，最后保存到本地。"
 
     # Construct and run the society
     society = construct_society(question)

examples/run_groq.py

@@ -43,6 +43,8 @@
 
 from owl.utils import OwlRolePlaying, run_society, DocumentProcessingToolkit
 
+import sys
+
 load_dotenv()
 
 set_log_level(level="DEBUG")
@@ -141,7 +143,12 @@ def construct_society(question: str) -> OwlRolePlaying:
 def main():
     r"""Main function to run the OWL system with an example question."""
     # Example research 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."
+    if len(sys.argv) > 1:
+        question = str(sys.argv[1])
+
+    else:
+        # Example research 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
     # Note: This configuration uses GROQ_LLAMA_3_3_70B for tool-intensive roles (assistant, web, planning, video, image)

examples/run_mini.py

@@ -26,7 +26,7 @@
 
 from camel.societies import RolePlaying
 
-import pathlib
+import pathlib, sys
 
 base_dir = pathlib.Path(__file__).parent.parent
 env_path = base_dir / "owl" / ".env"
@@ -107,7 +107,12 @@ def construct_society(question: str) -> RolePlaying:
 def main():
     r"""Main function to run the OWL system with an example question."""
     # Example research 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."
+    if len(sys.argv) > 1:
+        question = str(sys.argv[1])
+
+    else:
+        # Example research 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)

examples/run_ollama.py

@@ -31,7 +31,7 @@
 
 from camel.logger import set_log_level
 
-import pathlib
+import pathlib, sys
 
 base_dir = pathlib.Path(__file__).parent.parent
 env_path = base_dir / "owl" / ".env"
@@ -125,7 +125,12 @@ def construct_society(question: str) -> RolePlaying:
 def main():
     r"""Main function to run the OWL system with an example question."""
     # Example research 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."
+    if len(sys.argv) > 1:
+        question = str(sys.argv[1])
+
+    else:
+        # Example research 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)

examples/run_openai_compatiable_model.py

@@ -29,7 +29,7 @@
 from camel.societies import RolePlaying
 from camel.logger import set_log_level
 
-import pathlib
+import pathlib, sys
 
 base_dir = pathlib.Path(__file__).parent.parent
 env_path = base_dir / "owl" / ".env"
@@ -128,7 +128,12 @@ def construct_society(question: str) -> RolePlaying:
 def main():
     r"""Main function to run the OWL system with an example question."""
     # Example research 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."
+    if len(sys.argv) > 1:
+        question = str(sys.argv[1])
+
+    else:
+        # Example research 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)

examples/run_qwen_zh.py

@@ -35,7 +35,7 @@
 from camel.logger import set_log_level
 
 
-import pathlib
+import pathlib, sys
 
 base_dir = pathlib.Path(__file__).parent.parent
 env_path = base_dir / "owl" / ".env"
@@ -140,7 +140,12 @@ def construct_society(question: str) -> RolePlaying:
 def main():
     r"""Main function to run the OWL system with an example question."""
     # Example research question
-    question = "浏览亚马逊并找出一款对程序员有吸引力的产品。请提供产品名称和价格"
+    if len(sys.argv) > 1:
+        question = str(sys.argv[1])
+
+    else:
+        # Example research question
+        question = "浏览亚马逊并找出一款对程序员有吸引力的产品。请提供产品名称和价格"
 
     # Construct and run the society
     society = construct_society(question)

examples/run_terminal.py

@@ -26,7 +26,7 @@
 from owl.utils import run_society
 from camel.societies import RolePlaying
 
-import pathlib
+import pathlib, sys
 
 base_dir = pathlib.Path(__file__).parent.parent
 env_path = base_dir / "owl" / ".env"
@@ -108,7 +108,12 @@ def construct_society(question: str) -> RolePlaying:
 def main():
     r"""Main function to run the OWL system with an example question."""
     # Example research question
-    question = f"""Open Google Search, summarize the number of GitHub stars, forks, etc., of the camel framework of camel-ai, 
+    if len(sys.argv) > 1:
+        question = str(sys.argv[1])
+
+    else:
+        # Example research question
+        question = f"""Open Google Search, summarize the number of GitHub stars, forks, etc., of the camel framework of camel-ai, 
     and write the numbers into a Python file using the plot package, 
     save it to "+{os.path.join(base_dir, 'final_output')}+", 
     and execute the Python file with the local terminal to display the graph for me."""