sgr-agent-core/examples/sgr_deep_research/config.yaml.example at c83dec6dba7c1d8717e91e17dcfb71d42538bc53 · vamplabAI/sgr-agent-core · GitHub

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# SGR Deep Research - Configuration for research agents
# Copy this file and fill in your API keys

# LLM Configuration
llm:
  api_key: "your-openai-api-key-here"  # Your OpenAI API key
  base_url: "https://api.openai.com/v1"  # API base URL
  model: "gpt-4.1-mini"  # Model name
  max_tokens: 8000  # Max output tokens
  temperature: 0.4  # Temperature (0.0-1.0)
  # proxy: "socks5://127.0.0.1:1081"  # Optional proxy (socks5:// or http://)

# Execution Settings
execution:
  max_clarifications: 3  # Max clarification requests
  max_iterations: 10  # Max agent iterations
  mcp_context_limit: 15000  # Max context length from MCP server response
  streaming_generator: "openai"  # OpenAI SSE format; use "open_webui" for Open WebUI <details> format
  logs_dir: "logs"  # Directory for saving agent execution logs
  reports_dir: "reports"  # Directory for saving research reports

# MCP (Model Context Protocol) Configuration
mcp:
  mcpServers:
    deepwiki:
      url: "https://mcp.deepwiki.com/mcp"

# Tool Definitions
tools:
  # Core tools (base_class defaults to sgr_agent_core.tools.*)
  # Search tools: configure Tavily API key and search limits per tool
  web_search_tool:
    engine: "tavily"  # Search engine: "tavily" (default), "brave", or "perplexity"
    tavily_api_key: "your-tavily-api-key-here"  # Tavily API key (get at tavily.com)
    tavily_api_base_url: "https://api.tavily.com"  # Tavily API URL
    max_searches: 4  # Max search operations
    max_results: 10  # Max results in search query
  extract_page_content_tool:
    tavily_api_key: "your-tavily-api-key-here"  # Same Tavily API key
    tavily_api_base_url: "https://api.tavily.com"
    content_limit: 1500  # Content char limit per source
  create_report_tool:
    # base_class defaults to sgr_agent_core.tools.CreateReportTool
  final_answer_tool:
    # base_class defaults to sgr_agent_core.tools.FinalAnswerTool
  clarification_tool:
    # base_class defaults to sgr_agent_core.tools.ClarificationTool
  generate_plan_tool:
    # base_class defaults to sgr_agent_core.tools.GeneratePlanTool
  adapt_plan_tool:
    # base_class defaults to sgr_agent_core.tools.AdaptPlanTool
  reasoning_tool:
    # base_class defaults to sgr_agent_core.tools.ReasoningTool
  answer_tool:
    # base_class defaults to sgr_agent_core.tools.AnswerTool

# Agent Definitions
agents:
  # SGR Agent for research
  sgr_agent:
    base_class: "agents.ResearchSGRAgent"
    llm:
      model: "gpt-4.1-mini"
      temperature: 0.4
    tools:
      - "web_search_tool"
      - "extract_page_content_tool"
      - "create_report_tool"
      - "final_answer_tool"
      - "clarification_tool"
      - "generate_plan_tool"
      - "adapt_plan_tool"

  # Tool Calling Agent for research
  tool_calling_agent:
    base_class: "agents.ResearchToolCallingAgent"
    llm:
      model: "gpt-4.1-mini"
      temperature: 0.4
    tools:
      - "web_search_tool"
      - "extract_page_content_tool"
      - "create_report_tool"
      - "final_answer_tool"
      - "clarification_tool"
      - "generate_plan_tool"
      - "adapt_plan_tool"

  # SGR Tool Calling Agent for research
  sgr_tool_calling_agent:
    base_class: "agents.ResearchSGRToolCallingAgent"
    llm:
      model: "gpt-4.1-mini"
      temperature: 0.4
    tools:
      - "web_search_tool"
      - "extract_page_content_tool"
      - "create_report_tool"
      - "final_answer_tool"
      - "clarification_tool"
      - "reasoning_tool"
      - "generate_plan_tool"
      - "adapt_plan_tool"

  # Dialog Agent for research (intermediate results, long conversations)
  dialog_agent:
    base_class: "agents.ResearchDialogAgent"
    llm:
      model: "gpt-4.1-mini"
      temperature: 0.4
    tools:
      - "web_search_tool"
      - "extract_page_content_tool"
      - "reasoning_tool"
      - "answer_tool"
      - "generate_plan_tool"
      - "adapt_plan_tool"