Functions — github.com/camel-ai/owl

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Functions315 in github.com/camel-ai/owl

⨍ Functions 315◇ Types & classes 31

↓ 1 callersFunctionconstruct_agent_list

()

examples/run.py:45

↓ 1 callersFunctionconstruct_agent_list

Construct a list of agents with their configurations.

examples/run_groq.py:59

↓ 1 callersFunctionconstruct_agent_list

Construct a list of agents with their configurations.

examples/run_vllm.py:73

↓ 1 callersFunctionconstruct_agent_list

Construct a list of agents with their configurations.

examples/run_qwen.py:54

↓ 1 callersFunctionconstruct_agent_list

Construct a list of agents with their configurations.

examples/run_claude.py:54

↓ 1 callersFunctionconstruct_agent_list

Construct a list of agents with their configurations.

examples/run_deepseek.py:52

↓ 1 callersFunctionconstruct_agent_list

Construct a list of agents with their configurations.

examples/run_gemini.py:54

↓ 1 callersFunctionconstruct_cooking_society

Construct a society of agents for the cooking companion. Args: task (str): The cooking-related task to be addressed. Returns:

community_usecase/cooking-assistant/run_gpt4o.py:49

↓ 1 callersFunctionconstruct_learning_society

Construct a society of agents for the learning journey companion. Args: task (str): The learning task description including what the user

community_usecase/learning-assistant/run_gpt4o.py:47

↓ 1 callersFunctionconstruct_society

r"""Construct a society of agents based on the given question. Args: question (str): The task or question to be addressed by the society.

community_usecase/excel_analyzer/data_analyzer_en.py:188

↓ 1 callersFunctionconstruct_society

r"""Construct a society of agents based on the given question. Args: question (str): The task or question to be addressed by the society.

community_usecase/excel_analyzer/data_analyzer_zh.py:224

↓ 1 callersFunctionconstruct_society

r"""Construct a society of agents based on the given question. Args: question (str): The task or question to be addressed by the society.

community_usecase/virtual_fitting_room/run_gpt4o.py:56

↓ 1 callersFunctionconstruct_society

r"""build a multi-agent OwlRolePlaying instance. Args: question (str): The question to ask. tools (List[FunctionTool]): The M

community_usecase/Whatsapp-MCP/app.py:95

↓ 1 callersFunctionconstruct_society

Build a multi-agent OwlRolePlaying instance.

community_usecase/Puppeteer MCP/demo.py:26

↓ 1 callersFunctionconstruct_society

Build a multi-agent OwlRolePlaying instance with enhanced content curation capabilities.

community_usecase/Airbnb-MCP/Airbnb_MCP.py:22

↓ 1 callersFunctionconstruct_society

Build a multi-agent OwlRolePlaying instance for Notion management.

community_usecase/Notion-MCP/notion_manager.py:23

↓ 1 callersFunctionconstruct_society

r"""build a multi-agent OwlRolePlaying instance. Args: question (str): The question to ask. tools (List[FunctionTool]): The MCP t

community_usecase/resume-analysis-assistant/run_mcp.py:72

↓ 1 callersFunctionconstruct_society

r"""Build a multi-agent OwlRolePlaying instance for task completion. Args: question (str): The task to perform. tools (List[Funct

community_usecase/qwen3_mcp/run_mcp_qwen3.py:40

↓ 1 callersFunctionconstruct_society

Build a multi-agent OwlRolePlaying instance with enhanced content curation capabilities.

community_usecase/Mcp_use_case/Content_curator.py:24

↓ 1 callersFunctionconstruct_stock_analysis_society

Construct a society of agents for the stock analysis. Args: task (str): Analyze relevant stock information and output a report. Retu

community_usecase/stock-analysis/run.py:108

↓ 1 callersFunctionconstruct_workforce

()

examples/run.py:173

↓ 1 callersFunctionconstruct_workforce

Construct a workforce with coordinator and task agents.

examples/run_groq.py:180

↓ 1 callersFunctionconstruct_workforce

Construct a workforce with coordinator and task agents.

examples/run_vllm.py:208

↓ 1 callersFunctionconstruct_workforce

Construct a workforce with coordinator and task agents.

examples/run_qwen.py:183

↓ 1 callersFunctionconstruct_workforce

Construct a workforce with coordinator and task agents.

examples/run_claude.py:182

↓ 1 callersFunctionconstruct_workforce

Construct a workforce with coordinator and task agents.

examples/run_deepseek.py:150

↓ 1 callersFunctionconstruct_workforce

Construct a workforce with coordinator and task agents.

examples/run_gemini.py:182

↓ 1 callersFunctioncreate_md_file

Create a markdown file for the conversation with timestamp in filename. Args: task (str): The task being performed. Retu

community_usecase/qwen3_mcp/run_mcp_qwen3.py:87

↓ 1 callersFunctioncreate_sec_agent

()

community_usecase/stock-analysis/agent/sec_agent.py:13

↓ 1 callersFunctioncreate_ui

创建增强版Gradio界面

owl/webapp_backup.py:559

↓ 1 callersFunctioncreate_ui

创建增强版Gradio界面

owl/webapp_zh.py:758

↓ 1 callersFunctioncreate_ui

拡張されたGradioインターフェースを作成

owl/webapp_jp.py:773

↓ 1 callersFunctioncreate_ui

Create enhanced Gradio interface

owl/webapp.py:781

↓ 1 callersFunctiondelete_env_var

删除环境变量

owl/webapp_backup.py:511

↓ 1 callersFunctiondelete_env_var

删除环境变量

owl/webapp_zh.py:546

↓ 1 callersFunctiondelete_env_var

環境変数を削除

owl/webapp_jp.py:561

↓ 1 callersFunctiondelete_env_var

Delete environment variable

owl/webapp.py:563

↓ 1 callersFunctionexecute_notion_task

Execute the Notion task and handle the result.

community_usecase/Notion-MCP/notion_manager.py:64

↓ 1 callersFunctionextract_pattern

(content: str, pattern: str)

owl/utils/common.py:25

↓ 1 callersMethodfetch_10k_filing

r"""Fetches and processes the latest 10-K form content for a given stock symbol. This function retrieves the most recent 10-K filing from SEC

community_usecase/stock-analysis/tools/sec_tools.py:29

↓ 1 callersMethodfetch_10q_filing

r"""Fetches and processes the latest 10-Q form content for a given stock symbol. This function retrieves the most recent 10-Q filing from SEC

community_usecase/stock-analysis/tools/sec_tools.py:104

↓ 1 callersFunctionfind_license_end_line

(lines: List[str], start_with: str)

licenses/update_license.py:29

↓ 1 callersFunctionfine_license_start_line

(lines: List[str], start_with: str)

licenses/update_license.py:22

↓ 1 callersMethodflush

刷新日志

community_usecase/a_share_investment_agent_camel/src/utils/logging_utils.py:87

↓ 1 callersFunctionformat_chat_history

将聊天历史格式化为Gradio聊天组件可接受的格式 Args: chat_history: 原始聊天历史 Returns: List[List[str]]: 格式化后的聊天历史

owl/webapp_backup.py:307

↓ 1 callersMethodgenerate_human_message

生成人类消息 Args: content: 消息内容 Returns: BaseMessage: 人类消息对象

community_usecase/a_share_investment_agent_camel/src/agents/investment_agent.py:136

↓ 1 callersFunctiongenerate_interview_questions

( job_role: str, company_name: str, detailed: bool = True, limited_searches: bool = True,

community_usecase/OWL Interview Preparation Assistant/main.py:234

↓ 1 callersFunctiongenerate_stock_investment_report

( company_name: str, round_limit: int = 5, progress_callback: Optional[Callable] = None )

community_usecase/stock-analysis/run.py:220

↓ 1 callersFunctionget_api_guide

根据环境变量名返回对应的API获取指南 Args: key: 环境变量名 Returns: str: API获取指南链接或说明

owl/webapp_zh.py:602

↓ 1 callersFunctionget_api_guide

環境変数名に基づいて対応するAPIガイドを返す引数: key: 環境変数名戻り値: str: APIガイドリンクまたは説明

owl/webapp_jp.py:617

↓ 1 callersFunctionget_api_guide

Return the corresponding API guide based on the environment variable name Args: key: Environment variable name Returns: str:

owl/webapp.py:619

↓ 1 callersFunctionget_company_research_prompt

Get a specialized prompt for company research.

community_usecase/OWL Interview Preparation Assistant/config/prompts.py:33

↓ 1 callersFunctionget_fundamental_data

获取股票基本面数据 Args: ticker: 股票代码 Returns: Dict[str, Any]: 基本面数据

community_usecase/a_share_investment_agent_camel/src/tools/data_helper.py:49

↓ 1 callersFunctionget_model_config

获取模型配置 Args: model_name: 模型名称 (gemini, openai, qwen) Returns: tuple: (ModelPlatformType, ModelType, config_dict)

community_usecase/a_share_investment_agent_camel/src/roles.py:151

↓ 1 callersFunctionget_preparation_plan_prompt

Get a specialized prompt for creating an interview preparation plan.

community_usecase/OWL Interview Preparation Assistant/config/prompts.py:51

↓ 1 callersFunctionget_price_data

获取股票价格数据 Args: ticker: 股票代码 start_date: 开始日期 (YYYY-MM-DD) end_date: 结束日期 (YYYY-MM-DD) Returns:

community_usecase/a_share_investment_agent_camel/src/tools/api.py:12

↓ 1 callersFunctionget_question_generator_prompt

Get a specialized prompt for interview question generation.

community_usecase/OWL Interview Preparation Assistant/config/prompts.py:42

↓ 1 callersFunctionget_sec_summary_for_company

r"""Retrieve and analyze SEC filing information for a specified company and generate a comprehensive analysis report. This function retrieves rel

community_usecase/stock-analysis/agent/sec_agent.py:32

↓ 1 callersFunctionget_sec_system_prompt

r"""Get the enhanced system prompt for the sec assistant.

community_usecase/stock-analysis/prompts.py:43

↓ 1 callersFunctionget_stock_news

获取股票相关新闻 Args: ticker: 股票代码 num_of_news: 获取的新闻数量 Returns: List[Dict[str, Any]]: 新闻列表

community_usecase/a_share_investment_agent_camel/src/tools/data_helper.py:136

↓ 1 callersFunctionget_system_prompt

Get the enhanced system prompt for the interview assistant.

community_usecase/OWL Interview Preparation Assistant/config/prompts.py:1

↓ 1 callersFunctionget_system_prompt

r"""Get the enhanced system prompt for the stock analysis assistant.

community_usecase/stock-analysis/prompts.py:5

↓ 1 callersFunctioninit_agentops

Initialize AgentOps tracking (if enabled)

community_usecase/stock-analysis/run.py:205

↓ 1 callersFunctionlog_tool_usage

Decorator to log when a tool is being used.

community_usecase/OWL Interview Preparation Assistant/logging_utils.py:21

↓ 1 callersFunctionmain

()

community_usecase/excel_analyzer/data_analyzer_en.py:241

↓ 1 callersFunctionmain

r"""Main function to run the OWL system with Azure OpenAI.

community_usecase/excel_analyzer/data_analyzer_zh.py:283

↓ 1 callersFunctionmain

r"""Main function to run the OWL system with an example question.

community_usecase/virtual_fitting_room/run_gpt4o.py:144

↓ 1 callersFunctionmain

()

community_usecase/Whatsapp-MCP/app.py:139

↓ 1 callersFunctionmain

()

community_usecase/Puppeteer MCP/demo.py:87

↓ 1 callersFunctionmain

()

community_usecase/PHI_Sanitization_Summarization_and_Article_Writing/project.py:132

↓ 1 callersFunctionmain

()

community_usecase/Airbnb-MCP/Airbnb_MCP.py:65

↓ 1 callersFunctionmain

()

community_usecase/Notion-MCP/notion_manager.py:80

↓ 1 callersFunctionmain

()

community_usecase/resume-analysis-assistant/run_mcp.py:139

↓ 1 callersFunctionmain

()

community_usecase/qwen3_mcp/run_mcp_qwen3.py:264

↓ 1 callersFunctionmain

()

community_usecase/Mcp_use_case/Content_curator.py:67

↓ 1 callersFunctionmain

r"""Main function to run the OWL system with an example question.

examples/run.py:217

↓ 1 callersFunctionmain

r"""Main function to run the OWL system with an example question.

examples/run_groq.py:227

↓ 1 callersFunctionmain

r"""Main function to run the OWL system with an example question.

examples/run_vllm.py:263

↓ 1 callersFunctionmain

r"""Main function to run the OWL system with an example question.

examples/run_qwen.py:229

↓ 1 callersFunctionmain

r"""Main function to run the OWL system with an example question.

examples/run_claude.py:228

↓ 1 callersFunctionmain

r"""Main function to run the OWL system with an example question.

examples/run_deepseek.py:196

↓ 1 callersFunctionmain

r"""Main function to run the OWL system with an example question.

examples/run_gemini.py:228

↓ 1 callersFunctionmain

()

owl/webapp_backup.py:789

↓ 1 callersFunctionmain

()

owl/webapp_zh.py:1256

↓ 1 callersFunctionmain

()

owl/webapp_jp.py:1279

↓ 1 callersFunctionmain

()

owl/webapp.py:1287

↓ 1 callersFunctionmask_sensitive_value

对敏感信息进行掩码处理 Args: key: 环境变量名 value: 环境变量值 Returns: str: 处理后的值

owl/webapp_backup.py:529

↓ 1 callersFunctionparse_arguments

Parse command line arguments

community_usecase/stock-analysis/run.py:197

↓ 1 callersMethodprocess

处理市场数据获取和预处理 Args: data: 包含以下键的字典: - ticker: 股票代码 - start_date: 开始日期 - en

community_usecase/a_share_investment_agent_camel/src/agents/market_data_agent.py:32

↓ 1 callersMethodprocess

处理多头研究报告生成 Args: data: 包含以下键的字典: - stock_data: 股票数据对象 - technical_analysis: 技术分析结果

community_usecase/a_share_investment_agent_camel/src/agents/researcher_bull.py:29

↓ 1 callersMethodprocess

处理投资决策 Args: data: 包含以下键的字典: - stock_data: 股票数据对象 - technical_analysis: 技术分析结果

community_usecase/a_share_investment_agent_camel/src/agents/portfolio_manager.py:30

↓ 1 callersMethodprocess

处理基本面分析 Args: data: 包含以下键的字典: - stock_data: 股票数据对象 - messages: 处理过程中的消息

community_usecase/a_share_investment_agent_camel/src/agents/fundamentals_analyst.py:29

↓ 1 callersMethodprocess

处理风险评估 Args: data: 包含以下键的字典: - stock_data: 股票数据对象 - debate_result: 辩论结果 -

community_usecase/a_share_investment_agent_camel/src/agents/risk_manager.py:29

↓ 1 callersMethodprocess

处理技术分析 Args: data: 包含以下键的字典: - stock_data: 股票数据对象 - messages: 处理过程中的消息

community_usecase/a_share_investment_agent_camel/src/agents/technical_analyst.py:32

↓ 1 callersMethodprocess

处理情绪分析 Args: data: 包含以下键的字典: - stock_data: 股票数据对象 - messages: 处理过程中的消息

community_usecase/a_share_investment_agent_camel/src/agents/sentiment_analyst.py:29

↓ 1 callersMethodprocess

处理估值分析 Args: data: 包含以下键的字典: - stock_data: 股票数据对象 - fundamentals_analysis: 基本面分析结果

community_usecase/a_share_investment_agent_camel/src/agents/valuation_analyst.py:29

↓ 1 callersMethodprocess

处理空头研究报告生成 Args: data: 包含以下键的字典: - stock_data: 股票数据对象 - technical_analysis: 技术分析结果

community_usecase/a_share_investment_agent_camel/src/agents/researcher_bear.py:29

↓ 1 callersMethodprocess

处理多空观点辩论 Args: data: 包含以下键的字典: - stock_data: 股票数据对象 - bull_research: 多头研究报告

community_usecase/a_share_investment_agent_camel/src/agents/debate_room.py:29

↓ 1 callersMethodquestion_scorer

r"""Scorer for the GAIA benchmark. https://huggingface.co/spaces/gaia-benchmark/leaderboard/blob/main/ scorer.py Args:

owl/utils/gaia.py:337

↓ 1 callersFunctionresearch_company

( company_name: str, detailed: bool = True, limited_searches: bool = True, progress_callback

community_usecase/OWL Interview Preparation Assistant/main.py:196

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