telar-langchain4j/dev.deeptelar.telar.langchain4j

Package-level declarations

Types

class LangChain4jChatModel(model: ChatModel, streamingModel: StreamingChatModel? = null) : ChatModel

A ChatModel that calls any LangChain4j chat model, so an agent built with toolAgent or toolLoop works with every provider LangChain4j supports.

Functions

chatMessagesNode

fun <State> chatMessagesNode(model: ChatModel, messages: suspend (State) -> List<ChatMessage>, update: suspend (State, ChatResponse) -> State): NodeAction<State>

Creates a NodeAction that sends a whole conversation (system, user, AI and tool messages) built from the current state to model. The node gets the full ChatResponse, so it can handle tool execution requests.

chatNode

fun <State> chatNode(model: ChatModel, prompt: suspend (State) -> String, update: suspend (State, String) -> State): NodeAction<State>

Creates a NodeAction that sends a prompt built from the current state to model and merges the text reply back into the state.

chatSuspending

suspend fun ChatModel.chatSuspending(message: String): String

Sends a single user message to this ChatModel and returns the model's text reply.

suspend fun ChatModel.chatSuspending(messages: List<ChatMessage>): ChatResponse

Sends a conversation to this ChatModel and returns the full ChatResponse (AI message, tool execution requests, token usage). Like the single-message overload, it runs on Dispatchers.IO.