process_openai

Main function that creates an OpenAI processor and handles the request.
This maintains backward compatibility with the existing API.
This function uses the new BaseAPIProcessor architecture for improved
maintainability and consistent logging across all API providers.

internal

Automated cell type annotation for single-cell RNA sequencing data
using consensus predictions from multiple large language models (LLMs). LLMs are
artificial intelligence models trained on vast text corpora to understand and
generate human-like text. This package integrates with 'Seurat' objects and
provides uncertainty quantification for annotations. Supports various LLM
providers including 'OpenAI', 'Anthropic', and 'Google'. The package leverages
these models through their respective APIs (Application Programming Interfaces)
<https://platform.openai.com/docs>, <https://docs.anthropic.com/>, and
<https://ai.google.dev/gemini-api/docs>.
For details see Yang et al. (2025) <doi:10.1101/2025.04.10.647852>.

Chen Yang

mLLMCelltype

Cell Type Annotation Using Large Language Models

process_openai function

<dl><dt>prompt</dt>
<dd>Input prompt text</dd>
<dt>model</dt>
<dd>Model identifier</dd>
<dt>api_key</dt>
<dd>OpenAI API key</dd>
<dt>base_url</dt>
<dd>Optional custom base URL for OpenAI API</dd></dl>

Arguments

Process request using OpenAI models — process_openai

<dl>

<dt>prompt</dt>
<dd>Input prompt text</dd>


<dt>model</dt>
<dd>Model identifier</dd>


<dt>api_key</dt>
<dd>OpenAI API key</dd>


<dt>base_url</dt>
<dd>Optional custom base URL for OpenAI API</dd>

</dl>

process_openai: Process request using OpenAI models

Description

Usage

Value

Arguments