Logger class for application-wide logging. This class is a singleton, ensuring all logging is centralized through one instance.

Unified internal ChatMessage class for LAT-Mesh.

Configuration for the ToolDiscovery class.

Strategy for managing data extraction from PDF sections

Strategy for managing data extraction from documents.

A decorator class designed to enhance functions by applying additional logic and utilizing provided config and a logger. It can manually invo

A class used to cache files.

Block representing plain text.

A class used to represent and manage configuration settings for an application.

Class for discovering and loading tools in the Athonet LLM Platform.

A singleton tool repository class that uses a factory pattern to manage tools and their metadata.

Data loader strategy for managing Chroma dB collections with sentence embeddings.

Class for LangChain_ChatOpenAI Model.

Data loader strategy for managing Milvus collections with sentence embeddings. Embeddings should be present in the metadata of each element.

Data loader strategy for managing Qdrant collections with sentence embeddings. Embeddings should be present in the metadata of each element.

Data retriever strategy for managing Chroma dB collections with sentence embeddings.

Custom Remote Memory Class.

Class for LangChain_AzureChatOpenAI Model.

Class for LangChain ChatAnthropic Model.

Class for LangChain ChatGoogleGenerativeAI Model.

Class for LangChain ChatMistralAI Model.

Class for LangChain ChatMistralAI Model.

Class for LlamaIndexOpenAI Model.

Data retriever strategy for managing Qdrant collections with sentence embeddings.

Strategy for managing Chroma dB collections.

Strategy for managing data transformer

Strategy for managing Milvus dB collections.

Strategy for managing Qdrant dB collections.

Template Engine class to manage templates.

A class used to handle OpenAI-compatible /v1/chat/completions endpoint logic. It validates incoming requests, logs unknown fields, and return

Enum for message roles.

Data retriever strategy for managing Milvus collections with sentence embeddings.

A class that simulates an agent persona using an LLM model, a system prompt (routine), and an ongoing message transcript.

Shared reusable logic for message handling methods. To be used by concrete implementations like LangChain or LlamaIndex.

Manages background processes, ensuring they are cleaned up on exit. This class is designed as a singleton to maintain a single list of proces

A chat model class that uses a factory pattern to return the selected chat model.

Single choice object for response, containing the assistant message.

Single choice in a stream chunk.

Delta message for streaming chunk.

CrewAI Multi Agent class

Overwrite class to return Base Messages

fake class

A game class that uses a factory pattern to return the selected ones

Prompt Render class to manage prompts.

Message manager implementation for LangChain messages.

LangGraph Multi Agent class

Message manager implementation for LlamaIndex-compatible messages.

Strategy for managing data extraction from document sections

Message model representing a single chat message.

Message model for assistant response.

Model information.

Class to support OpenAPI management

Class of the Dashboard tool

Strategy for managing data extraction from documents.

The agent state is the input to each node in the graph

Agent Tool Manager class

Configuration for an argument in the tool.

Abstract base class for chat memory management.

Abstract base class for chat models.

Abstract base class for data extractors.

Base Data Loader

Base Data Retriever

Abstract base class for data storage implementations.

Base Data Transformer

Abstract base class for chat game.

Base class for message manager. This is an abstract class that needs to be extended.

Base class for file rendering. This is an abstract class that needs to be extended.

Abstract base class for reasoning engines.

Base Task Force

Abstract base class for tool repositories.

Enum for supported block types.

Tool input schema

Tool input schema

A chat model class that uses a factory pattern to return the selected chat memory

Request model for chat completion following OpenAI API schema. Accepts extra fields and logs them as warnings.

Full chat response model, following OpenAI response format.

Streaming-compatible response chunk.

Tool input schema

Configuration model for logging settings within an application.

Configuration model for ChatEndpoint settings.

Configuration model for logging settings within an application.

Extra option

Extra option

Base Configuration model for message formatter settings.

Base Configuration model for prompt manager settings.

Configuration for the Prompt Render class.

Configuration for the Chat Memory class.

Configuration for the Chat Memory class.

Configuration for the Chat Memory class.

Arguments of the Chat Memory class

Configuration for the Chat Memory class.

Configuration for the Chat Memory class.

Configuration for the Chat Memory class.

Configuration for the Chat Model class.

Configuration for the Chat Model class.

Configuration for the Chat Model class.

Configuration for the Chat Model class.

Configuration for the Chat Model class.

Configuration for the Chat Model class.

Configuration for the Chat Model class.