import { PromptTemplate } from "@langchain/core/prompts";
import { LLMChain } from "./llm_chain.js";
import { BufferMemory } from "../memory/buffer_memory.js";
export const DEFAULT_TEMPLATE = `The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.

Current conversation:
{history}
Human: {input}
AI:`;
/**
 * A class for conducting conversations between a human and an AI. It
 * extends the {@link LLMChain} class.
 * @example
 * ```typescript
 * const model = new ChatOpenAI({});
 * const chain = new ConversationChain({ llm: model });
 *
 * // Sending a greeting to the conversation chain
 * const res1 = await chain.call({ input: "Hi! I'm Jim." });
 * console.log({ res1 });
 *
 * // Following up with a question in the conversation
 * const res2 = await chain.call({ input: "What's my name?" });
 * console.log({ res2 });
 * ```
 */
export class ConversationChain extends LLMChain {
    static lc_name() {
        return "ConversationChain";
    }
    constructor({ prompt, outputKey, memory, ...rest }) {
        super({
            prompt: prompt ??
                new PromptTemplate({
                    template: DEFAULT_TEMPLATE,
                    inputVariables: ["history", "input"],
                }),
            outputKey: outputKey ?? "response",
            memory: memory ?? new BufferMemory(),
            ...rest,
        });
    }
}