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Researcher Agent Tool Config (Optional)

Use this page whenever you need to paste the exact RESEARCHER_AGENT_CONFIG payload shared in the toolkit. Replace the sample API keys with your own before committing changes or deploying the stack.

Tool config payload​

RESEARCHER_AGENT_CONFIG='{
  "final_report_builder": {
    "model": "gemini-2.5-pro",
    "application_model_name": "gemini-2.5-pro",
    "api_key": "key",
    "base_url": null,
    "max_retries": 3,
    "max_message_chars": 30000,
    "temperature": 0.0,
    "vertex_region": null,
    "vertex_project_id": null,
    "api_type": "gemini",
    "thinking_tokens": 0,
    "azure_endpoint": null,
    "azure_api_version": null,
    "cot_model": false
  },
  "report_builder": {
    "model": "gemini-2.5-flash",
    "application_model_name": "gemini-2.5-flash",
    "api_key": "key",
    "base_url": null,
    "max_retries": 3,
    "max_message_chars": 30000,
    "temperature": 0.0,
    "vertex_region": null,
    "vertex_project_id": null,
    "api_type": "gemini",
    "thinking_tokens": 0,
    "azure_endpoint": null,
    "azure_api_version": null,
    "cot_model": false
  },
  "researcher": {
    "model": "deepseek-reasoner",
    "application_model_name": "r1",
    "api_key": "key",
    "base_url" : "https://api.deepseek.com/beta",
    "api_type": "openai"
  }
}'

Notes​

  • The researcher role must call a completion API. Keep the api_type and base_url values aligned with your provider’s OpenAI-compatible endpoint.
  • Each builder entry (report_builder, final_report_builder) must include a complete LLM config block so they can render drafts independently of the default stack settings.