agents-core/ai.koog.agents.core.agent.context

Package-level declarations

Types

class AgentContextData(messageHistory: List<Message>, nodeId: String, lastInput: JsonElement)

class AIAgentContext(val environment: AIAgentEnvironment, val agentInputType: KType, val agentInput: Any?, val config: AIAgentConfigBase, llm: AIAgentLLMContext, stateManager: AIAgentStateManager, storage: AIAgentStorage, val runId: String, val strategyName: String, val pipeline: AIAgentPipeline, val id: String) : AIAgentContextBase

Implements the AIAgentContext interface, providing the context required for an AI agent's execution. This class encapsulates configurations, the execution pipeline, agent environment, and tools for handling agent lifecycles and interactions.

AIAgentContextBase

interface 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.

AIAgentLLMContext

class AIAgentLLMContext(tools: List<ToolDescriptor>, val toolRegistry: ToolRegistry = ToolRegistry.Companion.EMPTY, prompt: Prompt, model: LLModel, val promptExecutor: PromptExecutor, environment: AIAgentEnvironment, config: AIAgentConfigBase, clock: Clock)

Represents the context for an AI agent LLM, managing tools, prompt handling, and interaction with the environment and execution layers. It provides mechanisms for concurrent read and write operations through sessions, ensuring thread safety.

DetachedPromptExecutorAPI

annotation class DetachedPromptExecutorAPI

Annotation for marking APIs as detached prompt executors within the AIAgentLLMContext.