support gemini 2.5 pro and add example

README.md

@@ -126,6 +126,7 @@ Our vision is to revolutionize how AI agents collaborate to solve real-world tas
   </p>
 </div>
 
+- **[2025.03.26]**: Supported Gemini 2.5 Pro, added example run code
 - **[2025.03.21]**: Integrated OpenRouter model platform, fix bug with Gemini tool calling
 - **[2025.03.20]**: Accept header in MCP Toolkit, support automatic playwright installation
 - **[2025.03.16]**: Support Bing search, Baidu search
@@ -383,6 +384,9 @@ python examples/run_deepseek_zh.py
 # Run with other OpenAI-compatible models
 python examples/run_openai_compatible_model.py
 
+# Run with Gemini model
+python examples/run_gemini.py
+
 # Run with Azure OpenAI
 python examples/run_azure_openai.py
 

README_zh.md

@@ -126,6 +126,7 @@
   </p>
 </div>
 
+- **[2025.03.26]**: 支持Gemini 2.5 Pro模型，添加示例运行代码
 - **[2025.03.21]**: 集成OpenRouter模型平台，修复Gemini工具调用的bug
 - **[2025.03.20]**: 在MCP工具包中添加Accept头部，支持自动安装playwright
 - **[2025.03.16]**: 支持必应搜索、百度搜索
@@ -379,6 +380,9 @@ python examples/run_qwen_zh.py
 # 使用 Deepseek 模型运行
 python examples/run_deepseek_zh.py
 
+# 使用 Gemini 模型运行
+python examples/run_gemini.py
+
 # 使用其他 OpenAI 兼容模型运行
 python examples/run_openai_compatible_model.py
 

examples/run_gemini.py

@@ -0,0 +1,146 @@
+# ========= 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 sys
+import pathlib
+from dotenv import load_dotenv
+from camel.models import ModelFactory
+from camel.toolkits import (
+    AudioAnalysisToolkit,
+    CodeExecutionToolkit,
+    ExcelToolkit,
+    ImageAnalysisToolkit,
+    SearchToolkit,
+    VideoAnalysisToolkit,
+    BrowserToolkit,
+    FileWriteToolkit,
+)
+from camel.types import ModelPlatformType, ModelType
+from camel.logger import set_log_level
+from camel.societies import RolePlaying
+
+from owl.utils import run_society, DocumentProcessingToolkit
+
+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:
+    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:
+        RolePlaying: A configured society of agents ready to address the question.
+    """
+
+    # Create models for different components
+    models = {
+        "user": ModelFactory.create(
+            model_platform=ModelPlatformType.GEMINI,
+            model_type=ModelType.GEMINI_2_5_PRO_EXP,
+            model_config_dict={"temperature": 0},
+        ),
+        "assistant": ModelFactory.create(
+            model_platform=ModelPlatformType.GEMINI,
+            model_type=ModelType.GEMINI_2_5_PRO_EXP,
+            model_config_dict={"temperature": 0},
+        ),
+        "browsing": ModelFactory.create(
+            model_platform=ModelPlatformType.GEMINI,
+            model_type=ModelType.GEMINI_2_5_PRO_EXP,
+            model_config_dict={"temperature": 0},
+        ),
+        "planning": ModelFactory.create(
+            model_platform=ModelPlatformType.GEMINI,
+            model_type=ModelType.GEMINI_2_5_PRO_EXP,
+            model_config_dict={"temperature": 0},
+        ),
+        "video": ModelFactory.create(
+            model_platform=ModelPlatformType.GEMINI,
+            model_type=ModelType.GEMINI_2_5_PRO_EXP,
+            model_config_dict={"temperature": 0},
+        ),
+        "image": ModelFactory.create(
+            model_platform=ModelPlatformType.GEMINI,
+            model_type=ModelType.GEMINI_2_5_PRO_EXP,
+            model_config_dict={"temperature": 0},
+        ),
+        "document": ModelFactory.create(
+            model_platform=ModelPlatformType.GEMINI,
+            model_type=ModelType.GEMINI_2_5_PRO_EXP,
+            model_config_dict={"temperature": 0},
+        ),
+    }
+
+    # Configure toolkits
+    tools = [
+        *BrowserToolkit(
+            headless=False,  # Set to True for headless mode (e.g., on remote servers)
+            web_agent_model=models["browsing"],
+            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(),
+        *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,
+    )
+
+    return society
+
+
+def main():
+    r"""Main function to run the OWL system with an example question."""
+    # Default research question
+    default_task = "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."
+
+    # Override default task if command line argument is provided
+    task = sys.argv[1] if len(sys.argv) > 1 else default_task
+
+    # Construct and run the society
+    society = construct_society(task)
+    answer, chat_history, token_count = run_society(society)
+
+    # Output the result
+    print(f"\033[94mAnswer: {answer}\033[0m")
+
+
+if __name__ == "__main__":
+    main()

owl/webapp.py

@@ -244,6 +244,7 @@ def get_latest_logs(max_lines=100, queue_source=None):
 MODULE_DESCRIPTIONS = {
     "run": "Default mode: Using OpenAI model's default agent collaboration mode, suitable for most tasks.",
     "run_mini": "Using OpenAI model with minimal configuration to process tasks",
+    "run_gemini": "Using Gemini model to process tasks",
     "run_deepseek_zh": "Using deepseek model to process Chinese tasks",
     "run_openai_compatible_model": "Using openai compatible model to process tasks",
     "run_ollama": "Using local ollama model to process tasks",

owl/webapp_zh.py

@@ -244,6 +244,7 @@ def get_latest_logs(max_lines=100, queue_source=None):
 MODULE_DESCRIPTIONS = {
     "run": "默认模式：使用OpenAI模型的默认的智能体协作模式，适合大多数任务。",
     "run_mini": "使用使用OpenAI模型最小化配置处理任务",
+    "run_gemini": "使用 Gemini模型处理任务",
     "run_deepseek_zh": "使用deepseek模型处理中文任务",
     "run_openai_compatible_model": "使用openai兼容模型处理任务",
     "run_ollama": "使用本地ollama模型处理任务",

pyproject.toml

@@ -21,7 +21,7 @@ keywords = [
     "learning-systems"
 ]
 dependencies = [
-    "camel-ai[all]==0.2.36",
+    "camel-ai[all]==0.2.37",
     "chunkr-ai>=0.0.41",
     "docx2markdown>=0.1.1",
     "gradio>=3.50.2",

requirements.txt

@@ -1,4 +1,4 @@
-camel-ai[all]==0.2.36
+camel-ai[all]==0.2.37
 chunkr-ai>=0.0.41
 docx2markdown>=0.1.1
 gradio>=3.50.2

uv.lock

@@ -506,7 +506,7 @@ wheels = [
 
 [[package]]
 name = "camel-ai"
-version = "0.2.36"
+version = "0.2.37"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "colorama" },
@@ -520,9 +520,9 @@ dependencies = [
     { name = "pyyaml" },
     { name = "tiktoken" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/d8/f3/8aa260535ed202a153553fab715b4640b261577eaf82b0e6b693db5258d6/camel_ai-0.2.36.tar.gz", hash = "sha256:4de90328a6e5128efde2a50d58bc04d33e6206ba0e4628aac0ec0412dec8ddc3", size = 454587 }
+sdist = { url = "https://files.pythonhosted.org/packages/c0/05/1158464a89c0fde62fd916385a6f245c0864036fc575967f0eb8c97ef409/camel_ai-0.2.37.tar.gz", hash = "sha256:4196228846182dc5f0848e7db932f617a744ffeeee939251a1b09cb7d4f9c24a", size = 463910 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/94/56/7a774ecdf52e590d97c229daf367f3223ef58bbbabfcfe29df8559f6bace/camel_ai-0.2.36-py3-none-any.whl", hash = "sha256:94a8c419608e3d12653c7ecafb99f1c60430ba37cdf4d0fae970bdd99f392557", size = 774724 },
+    { url = "https://files.pythonhosted.org/packages/d0/36/926b8b826faf694695b46e0c257f1b33f743802dea77fb5a33b78050f4d0/camel_ai-0.2.37-py3-none-any.whl", hash = "sha256:d1e7bb5ec992baa84a0fa825814e61d67e795ce547058b50eb5c4090300f09df", size = 785083 },
 ]
 
 [package.optional-dependencies]
@@ -3654,7 +3654,7 @@ dependencies = [
 
 [package.metadata]
 requires-dist = [
-    { name = "camel-ai", extras = ["all"], specifier = "==0.2.36" },
+    { name = "camel-ai", extras = ["all"], specifier = "==0.2.37" },
     { name = "chunkr-ai", specifier = ">=0.0.41" },
     { name = "docx2markdown", specifier = ">=0.1.1" },
     { name = "gradio", specifier = ">=3.50.2" },