Load Script Apr 2026

Use the provided CLI or Python entry point to start a research loop that typically runs 5–7 concurrent search iterations. 3. Bulk Deep Research (Google Apps Script)

Add your API keys (OpenAI, Tavily, etc.) to a .env file. load script

import openai client = openai.OpenAI(api_key="your-api-key") # The model handles the multi-step research loop internally response = client.responses.create( model="o3-deep-research", messages=[ {"role": "user", "content": "Generate a deep report on the future of renewable energy in 2030."} ], tools=[{"type": "web_search_preview"}] # Required for deep research ) print(response.output_text) Use code with caution. Copied to clipboard Use the provided CLI or Python entry point

git clone https://github.com/langchain-ai/open_deep_research.git cd open_deep_research pip install -r requirements.txt Use code with caution. Copied to clipboard import openai client = openai

Setting the background parameter to True is recommended as deep reports can take several minutes to generate. 2. Open Source Deep Research (LangChain)