Embabel Agent Documentation/com.embabel.agent.spi.support/AbstractLlmOperations

AbstractLlmOperations

abstract class AbstractLlmOperations(toolDecorator: ToolDecorator, modelProvider: ModelProvider, validator: <Error class: unknown class>, validationPromptGenerator: ValidationPromptGenerator = DefaultValidationPromptGenerator(), autoLlmSelectionCriteriaResolver: AutoLlmSelectionCriteriaResolver, dataBindingProperties: LlmDataBindingProperties, promptsProperties: LlmOperationsPromptsProperties = LlmOperationsPromptsProperties(), asyncer: Asyncer) : LlmOperations

Convenient superclass for LlmOperations implementations, which should normally extend this Find all tool callbacks and decorate them to be aware of the platform Also emits events.

Inheritors

ToolLoopLlmOperations

Constructors

AbstractLlmOperations

constructor(toolDecorator: ToolDecorator, modelProvider: ModelProvider, validator: <Error class: unknown class>, validationPromptGenerator: ValidationPromptGenerator = DefaultValidationPromptGenerator(), autoLlmSelectionCriteriaResolver: AutoLlmSelectionCriteriaResolver, dataBindingProperties: LlmDataBindingProperties, promptsProperties: LlmOperationsPromptsProperties = LlmOperationsPromptsProperties(), asyncer: Asyncer)

Functions

createObject

override fun <O> createObject(messages: List<Message>, interaction: LlmInteraction, outputClass: Class<O>, agentProcess: AgentProcess, action: Action?): O

Create an output object, in the context of an AgentProcess.

createObjectIfPossible

override fun <O> createObjectIfPossible(messages: List<Message>, interaction: LlmInteraction, outputClass: Class<O>, agentProcess: AgentProcess, action: Action?): <Error class: unknown class><O>

Try to create an output object in the context of an AgentProcess. Return a failure result if the LLM does not have enough information to create the object.

createObjectIfPossibleWithThinking

override fun <O> createObjectIfPossibleWithThinking(messages: List<Message>, interaction: LlmInteraction, outputClass: Class<O>, agentProcess: AgentProcess, action: Action?): <Error class: unknown class><ThinkingResponse<O>>

Try to create an output object with thinking block extraction in the context of an AgentProcess. Return a failure result if the LLM does not have enough information to create the object.

createObjectWithThinking

override fun <O> createObjectWithThinking(messages: List<Message>, interaction: LlmInteraction, outputClass: Class<O>, agentProcess: AgentProcess, action: Action?): ThinkingResponse<O>

Create an output object with thinking block extraction, in the context of an AgentProcess.

doTransform

open fun <O> doTransform(prompt: String, interaction: LlmInteraction, outputClass: Class<O>, llmRequestEvent: LlmRequestEvent<O>?): O

Low level transform, not necessarily aware of platform This is a convenience overload that creates a UserMessage from a String prompt

abstract fun <O> doTransform(messages: List<Message>, interaction: LlmInteraction, outputClass: Class<O>, llmRequestEvent: LlmRequestEvent<O>?): O

Low level transform, not necessarily aware of platform

doTransformWithThinking

abstract fun <O> doTransformWithThinking(messages: List<Message>, interaction: LlmInteraction, outputClass: Class<O>, llmRequestEvent: LlmRequestEvent<O>?): ThinkingResponse<O>

Low level transform with thinking block extraction, not necessarily aware of platform.

doTransformWithThinkingIfPossible

abstract fun <O> doTransformWithThinkingIfPossible(messages: List<Message>, interaction: LlmInteraction, outputClass: Class<O>, llmRequestEvent: LlmRequestEvent<O>?): <Error class: unknown class><ThinkingResponse<O>>

Low level transform with thinking block extraction and MaybeReturn semantics, not necessarily aware of platform. Returns a failure result if the LLM indicates it cannot create the object.

generate

open fun generate(prompt: String, interaction: LlmInteraction, agentProcess: AgentProcess, action: Action?): String

Generate text in the context of an AgentProcess.