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Submit a Deep Research Request to OpenAI

Source: R/api_openai.R
openai_deep_research.Rd

Sends a research request to OpenAI using the deep research models (o3-deep-research or o4-mini-deep-research) via the Responses API with background: true. The model autonomously searches the web and synthesises a long-form answer, which can take 5-30 minutes.

Usage

openai_deep_research(
  .llm,
  .model = "o4-mini-deep-research",
  .background = FALSE,
  .reasoning_effort = "medium",
  .json_schema = NULL,
  .max_output_tokens = NULL,
  .timeout = 1800,
  .max_tries = 3
)

Arguments

.llm

An LLMMessage object containing the research question.

.model

The deep research model to use (default: "o4-mini-deep-research").

.background

Logical; if TRUE, returns a tidyllm_research_job immediately without waiting for completion (default: FALSE).

.reasoning_effort

Reasoning level for the model: "low", "medium" (default), or "high".

.json_schema

A tidyllm schema for structured JSON output (optional).

.max_output_tokens

Maximum tokens to generate (default: NULL for model default).

.timeout

Seconds to wait in blocking mode before giving up (default: 1800).

.max_tries

Maximum retries per HTTP request (default: 3).

Value

If .background = FALSE, an updated LLMMessage with the research reply. If .background = TRUE, a tidyllm_research_job for use with check_job()/fetch_job().