agents-core/ai.koog.agents.core.agent.entity/AIAgentSubgraph

AIAgentSubgraph

expect class AIAgentSubgraph<TInput, TOutput> : AIAgentSubgraphBase<TInput, TOutput> (source)

Represents a subgraph within an AI agent execution strategy capable of processing input and producing output.

A subgraph is a modular component of a larger execution graph, defined by a StartNode as the entry point and a FinishNode as the exit point. The subgraph may implement tool selection strategies, incorporate language model support, and apply

actual class AIAgentSubgraph<TInput, TOutput> : AIAgentSubgraphBase<TInput, TOutput> (source)

Represents a subgraph within an AI agent execution strategy capable of processing input and producing output.

A subgraph is a modular component of a larger execution graph, defined by a StartNode as the entry point and a FinishNode as the exit point. The subgraph may implement tool selection strategies, incorporate language model support, and apply

actual class AIAgentSubgraph<TInput, TOutput> : AIAgentSubgraphBase<TInput, TOutput> (source)

Represents a subgraph within an AI agent execution strategy capable of processing input and producing output.

A subgraph is a modular component of a larger execution graph, defined by a StartNode as the entry point and a FinishNode as the exit point. The subgraph may implement tool selection strategies, incorporate language model support, and apply

Constructors

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expect constructor(name: String, start: StartNode<TInput>, finish: FinishNode<TOutput>, toolSelectionStrategy: ToolSelectionStrategy, llmModel: LLModel? = null, llmParams: LLMParams? = null, responseProcessor: ResponseProcessor? = null)
actual constructor(name: String, start: StartNode<TInput>, finish: FinishNode<TOutput>, toolSelectionStrategy: ToolSelectionStrategy, llmModel: ERROR CLASS: Symbol not found for LLModel??, llmParams: ERROR CLASS: Symbol not found for LLMParams??, responseProcessor: ERROR CLASS: Symbol not found for ResponseProcessor??)
actual constructor(name: String, start: StartNode<TInput>, finish: FinishNode<TOutput>, toolSelectionStrategy: ToolSelectionStrategy, llmModel: LLModel?, llmParams: LLMParams?, responseProcessor: ResponseProcessor?)

Types

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object Companion

Companion object for AIAgentSubgraph.

Properties

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expect var edges: List<AIAgentEdge<TOutput, *>>

Represents the directed edges connecting the current node in the AI agent strategy graph to other nodes. Each edge defines the flow and transformation of output data from this node to another.

var edges: List<AIAgentEdge<TOutput, *>>

Represents the directed edges connecting the current node in the AI agent strategy graph to other nodes. Each edge defines the flow and transformation of output data from this node to another.

var edges: List<AIAgentEdge<TOutput, *>>

Represents the directed edges connecting the current node in the AI agent strategy graph to other nodes. Each edge defines the flow and transformation of output data from this node to another.

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expect val finish: FinishNode<TOutput>
val finish: FinishNode<TOutput>
val finish: FinishNode<TOutput>
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val id: String

Represents the unique identifier of the AI agent node.

val id: String

Represents the unique identifier of the AI agent node.

val id: String

Represents the unique identifier of the AI agent node.

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open override val inputType: TypeToken

The TypeToken of the TInput

open override val inputType: ai/koog/serialization/TypeToken

The TypeToken of the TInput

open override val inputType: TypeToken

The TypeToken of the TInput

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open override val name: String
open override val name: String
open override val name: String
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open override val outputType: TypeToken

The TypeToken of the TOutput

open override val outputType: ai/koog/serialization/TypeToken

The TypeToken of the TOutput

open override val outputType: TypeToken

The TypeToken of the TOutput

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expect val start: StartNode<TInput>
val start: StartNode<TInput>
val start: StartNode<TInput>

Functions

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expect open fun addEdge(edge: AIAgentEdge<TOutput, *>)

Adds a directed edge from the current node, enabling connections between this node and other nodes in the AI agent strategy graph.

open fun addEdge(edge: AIAgentEdge<TOutput, *>)

Adds a directed edge from the current node, enabling connections between this node and other nodes in the AI agent strategy graph.

open fun addEdge(edge: AIAgentEdge<TOutput, *>)

Adds a directed edge from the current node, enabling connections between this node and other nodes in the AI agent strategy graph.

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open override fun enforceExecutionPoint(node: AIAgentNodeBase<*, *>, input: Any? = null)

Sets a forced node for the entity.

open override fun enforceExecutionPoint(node: AIAgentNodeBase<*, *>, input: Any? = null)

Sets a forced node for the entity.

open override fun enforceExecutionPoint(node: AIAgentNodeBase<*, *>, input: Any? = null)

Sets a forced node for the entity.

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expect open suspend override fun execute(context: AIAgentGraphContextBase, input: TInput): TOutput?

Executes the desired operation based on the input and the provided context. This function determines the execution strategy based on the tool selection strategy configured in the class.

open suspend override fun execute(context: AIAgentGraphContextBase, input: TInput): TOutput?

Executes the desired operation based on the input and the provided context. This function determines the execution strategy based on the tool selection strategy configured in the class.

open suspend override fun execute(context: AIAgentGraphContextBase, input: TInput): TOutput?

Executes the desired operation based on the input and the provided context. This function determines the execution strategy based on the tool selection strategy configured in the class.

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suspend fun executeUnsafe(context: AIAgentGraphContextBase, input: Any?): Any?

Executes the node operation using the provided execution context and input, bypassing type safety checks. This method internally calls the type-safe execute method after casting the input.

suspend fun executeUnsafe(context: AIAgentGraphContextBase, input: Any?): Any?

Executes the node operation using the provided execution context and input, bypassing type safety checks. This method internally calls the type-safe execute method after casting the input.

suspend fun executeUnsafe(context: AIAgentGraphContextBase, input: Any?): Any?

Executes the node operation using the provided execution context and input, bypassing type safety checks. This method internally calls the type-safe execute method after casting the input.

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expect infix fun <OutgoingInput> forwardTo(otherNode: AIAgentNodeBase<OutgoingInput, *>): AIAgentEdgeBuilderIntermediate<TOutput, TOutput, OutgoingInput>

Creates a directed edge from this AIAgentNodeBase to another AIAgentNodeBase, allowing data to flow from the output of the current node to the input of the specified node.

infix fun <OutgoingInput> forwardTo(otherNode: AIAgentNodeBase<OutgoingInput, *>): AIAgentEdgeBuilderIntermediate<TOutput, TOutput, OutgoingInput>

Creates a directed edge from this AIAgentNodeBase to another AIAgentNodeBase, allowing data to flow from the output of the current node to the input of the specified node.

infix fun <OutgoingInput> forwardTo(otherNode: AIAgentNodeBase<OutgoingInput, *>): AIAgentEdgeBuilderIntermediate<TOutput, TOutput, OutgoingInput>

Creates a directed edge from this AIAgentNodeBase to another AIAgentNodeBase, allowing data to flow from the output of the current node to the input of the specified node.

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infix fun <IncomingOutput, OutgoingInput> AIAgentNodeBase<*, IncomingOutput>.forwardTo(otherNode: AIAgentNodeBase<OutgoingInput, *>): AIAgentEdgeBuilderIntermediate<IncomingOutput, IncomingOutput, OutgoingInput>

Creates a directed edge from this AIAgentNodeBase to another AIAgentNodeBase, allowing data to flow from the output of the current node to the input of the specified node.

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open override fun getExecutionPoint(): ExecutionPoint?

Retrieves the current execution point, which consists of a specific node in the execution graph and an optional input. If no forced node is defined, the method returns null.

open override fun getExecutionPoint(): ExecutionPoint?

Retrieves the current execution point, which consists of a specific node in the execution graph and an optional input. If no forced node is defined, the method returns null.

open override fun getExecutionPoint(): ExecutionPoint?

Retrieves the current execution point, which consists of a specific node in the execution graph and an optional input. If no forced node is defined, the method returns null.

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open override fun resetExecutionPoint()

Resets the currently enforced execution point for the AI agent, including clearing any forced node and input data. Once the execution point is reset, the system will revert to its default execution behavior without targeting a specific node explicitly.

open override fun resetExecutionPoint()

Resets the currently enforced execution point for the AI agent, including clearing any forced node and input data. Once the execution point is reset, the system will revert to its default execution behavior without targeting a specific node explicitly.

open override fun resetExecutionPoint()

Resets the currently enforced execution point for the AI agent, including clearing any forced node and input data. Once the execution point is reset, the system will revert to its default execution behavior without targeting a specific node explicitly.

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expect suspend fun resolveEdge(context: AIAgentGraphContextBase, nodeOutput: TOutput): AIAgentNodeBase.ResolvedEdge?

Resolves the edge associated with the provided node output and execution context. Iterates through available edges and identifies the first edge that can successfully process the given node output within the provided context. If a resolvable edge is found, it returns a ResolvedEdge containing the edge and its output. Otherwise, returns null.

suspend fun resolveEdge(context: AIAgentGraphContextBase, nodeOutput: TOutput): AIAgentNodeBase.ResolvedEdge?

Resolves the edge associated with the provided node output and execution context. Iterates through available edges and identifies the first edge that can successfully process the given node output within the provided context. If a resolvable edge is found, it returns a ResolvedEdge containing the edge and its output. Otherwise, returns null.

suspend fun resolveEdge(context: AIAgentGraphContextBase, nodeOutput: TOutput): AIAgentNodeBase.ResolvedEdge?

Resolves the edge associated with the provided node output and execution context. Iterates through available edges and identifies the first edge that can successfully process the given node output within the provided context. If a resolvable edge is found, it returns a ResolvedEdge containing the edge and its output. Otherwise, returns null.

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