Package index • mLLMCelltype

Core Functions

Core functions for cell type annotation

annotate_cell_types(): Cell Type Annotation with Multi-LLM Framework

interactive_consensus_annotation(): Interactive consensus building for cell type annotation

compare_model_predictions(): Compare predictions from different models

API and Providers

API processing functions for different LLM providers

get_provider(): Determine provider from model name

get_api_key(): Utility functions for API key management

register_custom_model(): Register a custom model for a provider

register_custom_provider(): Register a custom LLM provider

list_custom_providers(): Get list of registered custom providers

list_custom_models(): Get list of registered custom models

Processor Classes

LLM processor classes for different providers

BaseAPIProcessor: Base API Processor Class

AnthropicProcessor: Anthropic API Processor

DeepSeekProcessor: DeepSeek API Processor

GeminiProcessor: Gemini API Processor

GrokProcessor: Grok API Processor

MinimaxProcessor: Minimax API Processor

OpenAIProcessor: OpenAI API Processor

OpenRouterProcessor: OpenRouter API Processor

QwenProcessor: Qwen API Processor

StepFunProcessor: StepFun API Processor

ZhipuProcessor: Zhipu API Processor

Logging and Utilities

Logging system and utility functions

UnifiedLogger: Unified Logger for mLLMCelltype Package

configure_logger(): Set global logger configuration

get_logger(): Get the global logger instance

log_debug() log_info() log_warn() log_error(): Convenience functions for logging

CacheManager: Cache Manager Class

create_annotation_prompt(): Prompt templates for mLLMCelltype