25 lines
1.1 KiB
TypeScript
25 lines
1.1 KiB
TypeScript
|
import { LLMChain, LLMChainInput } from "./llm_chain.js";
|
||
|
|
import { Optional } from "../types/type-utils.js";
|
||
|
|
export declare 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.\n\nCurrent conversation:\n{history}\nHuman: {input}\nAI:";
|
||
|
|
/**
|
||
|
|
* 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 declare class ConversationChain extends LLMChain {
|
||
|
|
static lc_name(): string;
|
||
|
|
constructor({ prompt, outputKey, memory, ...rest }: Optional<LLMChainInput, "prompt">);
|
||
|
|
}
|