custom_providers

<p>This module provides functionality to register and manage custom LLM
providers
and models. It allows users to integrate their own LLM services with the
mLLMCelltype framework.</p>

internal

environment

configurations

custom

their

store

providers

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

custom_providers function

<p>An object of class <code>environment</code> of length 0.</p>

Format

Custom model manager for mLLMCelltype — custom_providers

Custom model manager for mLLMCelltype

custom_providers: Custom model manager for mLLMCelltype

Description

Usage

Arguments

Format