48 lines
1.7 KiB
JavaScript
48 lines
1.7 KiB
JavaScript
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"use strict";
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Object.defineProperty(exports, "__esModule", { value: true });
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exports.ConversationChain = exports.DEFAULT_TEMPLATE = void 0;
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const prompts_1 = require("@langchain/core/prompts");
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const llm_chain_js_1 = require("./llm_chain.cjs");
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const buffer_memory_js_1 = require("../memory/buffer_memory.cjs");
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exports.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.
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Current conversation:
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{history}
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Human: {input}
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AI:`;
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/**
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* A class for conducting conversations between a human and an AI. It
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* extends the {@link LLMChain} class.
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* @example
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* ```typescript
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* const model = new ChatOpenAI({});
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* const chain = new ConversationChain({ llm: model });
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*
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* // Sending a greeting to the conversation chain
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* const res1 = await chain.call({ input: "Hi! I'm Jim." });
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* console.log({ res1 });
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*
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* // Following up with a question in the conversation
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* const res2 = await chain.call({ input: "What's my name?" });
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* console.log({ res2 });
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* ```
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*/
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class ConversationChain extends llm_chain_js_1.LLMChain {
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static lc_name() {
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return "ConversationChain";
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}
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constructor({ prompt, outputKey, memory, ...rest }) {
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super({
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prompt: prompt ??
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new prompts_1.PromptTemplate({
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template: exports.DEFAULT_TEMPLATE,
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inputVariables: ["history", "input"],
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}),
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outputKey: outputKey ?? "response",
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memory: memory ?? new buffer_memory_js_1.BufferMemory(),
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...rest,
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});
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}
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}
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exports.ConversationChain = ConversationChain;
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