Types

Common types definitions for the Uncertainty Engine. This library should be used by other packages to ensure consistency in the types used across the Uncertainty Engine.

Overview

Execution & Error Handling

• ExecutionError
  Exception raised to indicate execution errors.

Graph & Node Types

• Graph
  Represents a collection of nodes and their connections.
• NodeElement
  Defines a node with a type and associated inputs.
• NodeId
  A unique identifier for nodes.
• SourceHandle & TargetHandle
  Strings used to reference node connections.

Node Handles

• Handle
  Represents a node handle in the format node.handle and validates this structure.

Language Learning Models (LLMs)

• LLMProvider
  Enum listing supported LLM providers.
• LLMConfig
  Manages connections to LLMs based on the chosen provider and configuration.

Messaging

• Message
  Represents a message with a role and content, used for interactions with LLMs.

TwinLab Models

• MachineLearningModel
  Represents a model configuration including metadata.

Node Metadata

• NodeInputInfo
  Describes the properties of a node's input.
• NodeOutputInfo
  Describes the properties of a node's output.
• NodeInfo
  Aggregates metadata for a node, including inputs and outputs.

Sensor Design

• SensorDesigner
  Defines sensor configuration and provides functionality to load sensor data.
• save_sensor_designer
  Function to persist a sensor designer configuration.

SQL Database Types

• SQLKind
  Enum listing supported SQL database types.
• SQLConfig
  Configures connections and operations for SQL databases.

Tabular Data

• TabularData
  Represents CSV-based data and includes functionality to load it into a pandas DataFrame.

Token Types

• Token
  Enum representing token types, such as TRAINING and STANDARD.

Vector Stores

• VectorStoreProvider
  Enum for supported vector store providers.
• VectorStoreConfig
  Configures connections to vector stores.