feat: add ppio

examples/run_ppio.py

@@ -0,0 +1,120 @@
+# ========= 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 PPIO API key
+# You can obtain your API key from PPIO platform: https://ppinfra.com/settings/key-management?utm_source=github_owl
+# Set it as PPIO_API_KEY="your-api-key" in your .env file or add it to your environment variables
+
+import sys
+from dotenv import load_dotenv
+
+from camel.models import ModelFactory
+from camel.toolkits import (
+    ExcelToolkit,
+    SearchToolkit,
+    FileWriteToolkit,
+    CodeExecutionToolkit,
+)
+from camel.types import ModelPlatformType, ModelType
+from camel.societies import RolePlaying
+from camel.logger import set_log_level
+
+from owl.utils import run_society
+
+import pathlib
+
+set_log_level(level="DEBUG")
+
+base_dir = pathlib.Path(__file__).parent.parent
+env_path = base_dir / "owl" / ".env"
+load_dotenv(dotenv_path=str(env_path))
+
+
+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.PPIO,
+            model_type=ModelType.PPIO_DEEPSEEK_V3_COMMUNITY,
+            model_config_dict={"temperature": 0},
+        ),
+        "assistant": ModelFactory.create(
+            model_platform=ModelPlatformType.PPIO,
+            model_type=ModelType.PPIO_DEEPSEEK_V3_COMMUNITY,
+            model_config_dict={"temperature": 0},
+        ),
+    }
+
+    # Configure toolkits
+    tools = [
+        *CodeExecutionToolkit(sandbox="subprocess", verbose=True).get_tools(),
+        SearchToolkit().search_duckduckgo,
+        SearchToolkit().search_wiki,
+        SearchToolkit().search_baidu,
+        *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 = 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
+    default_task = "使用百度整理2023年1月1日到2023年12月31日，中国股市的涨跌情况。"
+
+    # 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/.env_template

@@ -16,6 +16,9 @@ OPENAI_API_KEY='Your_Key'
 # DEEPSEEK_API_KEY='Your_Key'
 # DEEPSEEK_API_BASE_URL=""
 
+# PPIO API (https://ppinfra.com/settings/key-management?utm_source=github_owl)
+# PPIO_API_KEY="Your_Key"
+
 # GROQ API (https://console.groq.com/)
 # GROQ_API_KEY='Your_Key'
 # GROQ_API_BASE_URL=""

owl/webapp.py

@@ -251,6 +251,7 @@ MODULE_DESCRIPTIONS = {
     "run_qwen_zh": "Using qwen model to process tasks",
     "run_azure_openai": "Using azure openai model to process tasks",
     "run_groq": "Using groq model to process tasks",
+    "run_ppio": "Using ppio model to process tasks",
 }
 
 
@@ -626,6 +627,8 @@ def get_api_guide(key: str) -> str:
         return "https://help.aliyun.com/zh/model-studio/developer-reference/get-api-key"
     elif "deepseek" in key_lower:
         return "https://platform.deepseek.com/api_keys"
+    elif "ppio" in key_lower:
+        return "https://ppinfra.com/settings/key-management?utm_source=github_owl"
     elif "google" in key_lower:
         return "https://coda.io/@jon-dallas/google-image-search-pack-example/search-engine-id-and-google-api-key-3"
     elif "search_engine_id" in key_lower:

owl/webapp_zh.py

@@ -251,6 +251,7 @@ MODULE_DESCRIPTIONS = {
     "run_qwen_zh": "使用qwen模型处理任务",
     "run_azure_openai": "使用azure openai模型处理任务",
     "run_groq": "使用groq模型处理任务",
+    "run_ppio": "使用ppio模型处理任务",
 }
 
 
@@ -610,6 +611,8 @@ def get_api_guide(key: str) -> str:
         return "https://help.aliyun.com/zh/model-studio/developer-reference/get-api-key"
     elif "deepseek" in key_lower:
         return "https://platform.deepseek.com/api_keys"
+    elif "ppio" in key_lower:
+        return "https://ppinfra.com/settings/key-management?utm_source=github_owl"
     elif "google" in key_lower:
         return "https://coda.io/@jon-dallas/google-image-search-pack-example/search-engine-id-and-google-api-key-3"
     elif "search_engine_id" in key_lower: