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@langchain/core

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import { AIMessage, AIMessageChunk } from "./ai.js"; import { BaseMessageLike, BaseMessage, StoredMessage } from "./base.js"; import { ChatMessage, ChatMessageChunk } from "./chat.js"; import { FunctionMessage, FunctionMessageChunk } from "./function.js"; import { HumanMessage, HumanMessageChunk } from "./human.js"; import { SystemMessage, SystemMessageChunk } from "./system.js"; import { ToolMessage } from "./tool.js"; export declare function coerceMessageLikeToMessage(messageLike: BaseMessageLike): BaseMessage; /** * This function is used by memory classes to get a string representation * of the chat message history, based on the message content and role. */ export declare function getBufferString(messages: BaseMessage[], humanPrefix?: string, aiPrefix?: string): string; export declare function mapStoredMessageToChatMessage(message: StoredMessage): ToolMessage | AIMessage | ChatMessage | FunctionMessage | HumanMessage | SystemMessage; /** * Transforms an array of `StoredMessage` instances into an array of * `BaseMessage` instances. It uses the `mapV1MessageToStoredMessage` * function to ensure all messages are in the `StoredMessage` format, then * creates new instances of the appropriate `BaseMessage` subclass based * on the type of each message. This function is used to prepare stored * messages for use in a chat context. */ export declare function mapStoredMessagesToChatMessages(messages: StoredMessage[]): BaseMessage[]; /** * Transforms an array of `BaseMessage` instances into an array of * `StoredMessage` instances. It does this by calling the `toDict` method * on each `BaseMessage`, which returns a `StoredMessage`. This function * is used to prepare chat messages for storage. */ export declare function mapChatMessagesToStoredMessages(messages: BaseMessage[]): StoredMessage[]; export declare function convertToChunk(message: BaseMessage): AIMessageChunk | ChatMessageChunk | FunctionMessageChunk | HumanMessageChunk | SystemMessageChunk;