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

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

For a local or open-source setup, GPT-Researcher or Open Deep Research are the most popular frameworks. Clone & Setup: import openai client = openai

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 Open Source Deep Research (LangChain) For a local

Reports across multiple topics can be automated using Google Apps Script with Gemini.

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.