AIAgentContextBase
The AIAgentContextBase interface represents the context of an AI agent in the lifecycle. It provides access to the environment, configuration, LLM context, state management, storage, and other metadata necessary for the operation of the agent. Additionally, it supports features for custom workflows and extensibility.
Inheritors
Properties
Represents the input provided to the agent's execution.
KType representing the type of the agentInput
Represents the configuration for an AI agent.
Represents the environment in which the agent operates.
Represents the AI agent's LLM context, providing mechanisms for managing tools, prompts, and interaction with the execution environment. It ensures thread safety during concurrent read and write operations through the use of sessions.
Manages and tracks the state of aт AI agent within the context of its execution.
Concurrent-safe key-value storage for an agent, used to manage and persist data within the context of a the AI agent stage execution. The storage property provides a thread-safe mechanism for sharing and storing data specific to the agent's operation.
Represents the name of the strategy being used in the current AI agent context.
Functions
Utility function to get AIAgentContextBase.agentInput and try to cast it to some expected type.
Creates a copy of the current AIAgentContext with optional overrides for its properties.
Retrieves a feature of the specified type from the context or throws an exception if it is not available.
Creates a copy of the current AIAgentContext with deep copies of all mutable properties. This method is particularly useful in scenarios like parallel node execution where contexts need to be sent to different threads and then merged back together using replace.
Retrieves data from the agent's storage using the specified key.
Retrieves the agent-specific context data associated with the current instance.
Retrieves the history of messages exchanged during the agent's execution.
Removes a feature or data associated with the specified key from the agent's storage.
Removes the agent-specific context data associated with the current context.
Replaces the current context with the provided context. This method is used to update the current context with values from another context, particularly useful in scenarios like parallel node execution where contexts need to be merged.
Stores a feature in the agent's storage using the specified key.
Stores the given agent context data within the current AI agent context.