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Deep Research Openai

Run OpenAI deep research models through the Responses API with explicit effort, model, cost, and output controls. Use when launching citation-backed OpenAI research runs, smoke-testing OpenAI provider behavior, or capturing reproducible benchmark output.

closedloop-technologies Updated
AI & ML

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OpenAI Deep Research

Use this skill for autonomous, citation-backed research through OpenAI's Deep Research models. Prefer o4-mini-deep-research for benchmark calls because the repo target is less than $1 per task.

Environment

op run --env-file .env.climbhill -- python .agents/skills/deep-research-openai/scripts/run_deep_research.py \
  --prompt "deepresearch the deepresearchers" \
  --model o4-mini-deep-research \
  --effort low

Required 1Password-backed variable:

  • OPENAI_API_KEY

Cost Controls

  • Use o4-mini-deep-research before o3-deep-research.
  • Use --effort low for benchmark smoke tasks.
  • Keep prompts narrow and request concise reports.
  • Save raw output, then normalize it with deep-research-okf-normalize.

Current Source Links

closedloop-technologies/awesome-deep-researchers/tree/main/skills/deep-research-openai commit 4d07ba6a2a

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Frequently asked questions

npx skillmds@latest add closedloop-technologies/deep-research-openai