574 lines
21 KiB
JavaScript
574 lines
21 KiB
JavaScript
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"use strict";
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Object.defineProperty(exports, "__esModule", { value: true });
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exports.OpenAI = exports.OpenAIChat = void 0;
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const openai_1 = require("openai");
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const base_1 = require("@langchain/core/language_models/base");
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const outputs_1 = require("@langchain/core/outputs");
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const env_1 = require("@langchain/core/utils/env");
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const llms_1 = require("@langchain/core/language_models/llms");
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const chunk_array_1 = require("@langchain/core/utils/chunk_array");
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const azure_js_1 = require("./utils/azure.cjs");
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const legacy_js_1 = require("./legacy.cjs");
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Object.defineProperty(exports, "OpenAIChat", { enumerable: true, get: function () { return legacy_js_1.OpenAIChat; } });
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const openai_js_1 = require("./utils/openai.cjs");
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/**
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* Wrapper around OpenAI large language models.
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*
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* To use you should have the `openai` package installed, with the
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* `OPENAI_API_KEY` environment variable set.
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*
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* To use with Azure you should have the `openai` package installed, with the
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* `AZURE_OPENAI_API_KEY`,
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* `AZURE_OPENAI_API_INSTANCE_NAME`,
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* `AZURE_OPENAI_API_DEPLOYMENT_NAME`
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* and `AZURE_OPENAI_API_VERSION` environment variable set.
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*
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* @remarks
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* Any parameters that are valid to be passed to {@link
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* https://platform.openai.com/docs/api-reference/completions/create |
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* `openai.createCompletion`} can be passed through {@link modelKwargs}, even
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* if not explicitly available on this class.
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* @example
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* ```typescript
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* const model = new OpenAI({
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* modelName: "gpt-4",
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* temperature: 0.7,
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* maxTokens: 1000,
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* maxRetries: 5,
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* });
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*
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* const res = await model.invoke(
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* "Question: What would be a good company name for a company that makes colorful socks?\nAnswer:"
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* );
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* console.log({ res });
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* ```
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*/
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class OpenAI extends llms_1.BaseLLM {
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static lc_name() {
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return "OpenAI";
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}
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get callKeys() {
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return [...super.callKeys, "options"];
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}
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get lc_secrets() {
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return {
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openAIApiKey: "OPENAI_API_KEY",
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apiKey: "OPENAI_API_KEY",
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azureOpenAIApiKey: "AZURE_OPENAI_API_KEY",
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organization: "OPENAI_ORGANIZATION",
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};
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}
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get lc_aliases() {
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return {
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modelName: "model",
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openAIApiKey: "openai_api_key",
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apiKey: "openai_api_key",
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azureOpenAIApiVersion: "azure_openai_api_version",
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azureOpenAIApiKey: "azure_openai_api_key",
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azureOpenAIApiInstanceName: "azure_openai_api_instance_name",
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azureOpenAIApiDeploymentName: "azure_openai_api_deployment_name",
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};
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}
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constructor(fields,
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/** @deprecated */
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configuration) {
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let model = fields?.model ?? fields?.modelName;
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if ((model?.startsWith("gpt-3.5-turbo") || model?.startsWith("gpt-4")) &&
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!model?.includes("-instruct")) {
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console.warn([
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`Your chosen OpenAI model, "${model}", is a chat model and not a text-in/text-out LLM.`,
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`Passing it into the "OpenAI" class is deprecated and only permitted for backwards-compatibility. You may experience odd behavior.`,
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`Please use the "ChatOpenAI" class instead.`,
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"",
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`See this page for more information:`,
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"|",
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`└> https://js.langchain.com/docs/integrations/chat/openai`,
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].join("\n"));
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// eslint-disable-next-line no-constructor-return
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return new legacy_js_1.OpenAIChat(fields, configuration);
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}
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super(fields ?? {});
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Object.defineProperty(this, "lc_serializable", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: true
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});
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Object.defineProperty(this, "temperature", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: 0.7
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});
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Object.defineProperty(this, "maxTokens", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: 256
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});
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Object.defineProperty(this, "topP", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: 1
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});
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Object.defineProperty(this, "frequencyPenalty", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: 0
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});
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Object.defineProperty(this, "presencePenalty", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: 0
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});
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Object.defineProperty(this, "n", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: 1
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});
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Object.defineProperty(this, "bestOf", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "logitBias", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "modelName", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: "gpt-3.5-turbo-instruct"
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});
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Object.defineProperty(this, "model", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: "gpt-3.5-turbo-instruct"
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});
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Object.defineProperty(this, "modelKwargs", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "batchSize", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: 20
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});
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Object.defineProperty(this, "timeout", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "stop", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "stopSequences", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "user", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "streaming", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: false
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});
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Object.defineProperty(this, "openAIApiKey", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "apiKey", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "azureOpenAIApiVersion", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "azureOpenAIApiKey", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "azureADTokenProvider", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "azureOpenAIApiInstanceName", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "azureOpenAIApiDeploymentName", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "azureOpenAIBasePath", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "organization", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "client", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "clientConfig", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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model = model ?? this.model;
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this.openAIApiKey =
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fields?.apiKey ??
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fields?.openAIApiKey ??
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(0, env_1.getEnvironmentVariable)("OPENAI_API_KEY");
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this.apiKey = this.openAIApiKey;
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this.azureOpenAIApiKey =
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fields?.azureOpenAIApiKey ??
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(0, env_1.getEnvironmentVariable)("AZURE_OPENAI_API_KEY");
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this.azureADTokenProvider = fields?.azureADTokenProvider ?? undefined;
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if (!this.azureOpenAIApiKey && !this.apiKey && !this.azureADTokenProvider) {
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throw new Error("OpenAI or Azure OpenAI API key or Token Provider not found");
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}
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this.azureOpenAIApiInstanceName =
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fields?.azureOpenAIApiInstanceName ??
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(0, env_1.getEnvironmentVariable)("AZURE_OPENAI_API_INSTANCE_NAME");
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this.azureOpenAIApiDeploymentName =
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(fields?.azureOpenAIApiCompletionsDeploymentName ||
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fields?.azureOpenAIApiDeploymentName) ??
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((0, env_1.getEnvironmentVariable)("AZURE_OPENAI_API_COMPLETIONS_DEPLOYMENT_NAME") ||
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(0, env_1.getEnvironmentVariable)("AZURE_OPENAI_API_DEPLOYMENT_NAME"));
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this.azureOpenAIApiVersion =
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fields?.azureOpenAIApiVersion ??
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(0, env_1.getEnvironmentVariable)("AZURE_OPENAI_API_VERSION");
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this.azureOpenAIBasePath =
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fields?.azureOpenAIBasePath ??
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(0, env_1.getEnvironmentVariable)("AZURE_OPENAI_BASE_PATH");
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this.organization =
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fields?.configuration?.organization ??
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(0, env_1.getEnvironmentVariable)("OPENAI_ORGANIZATION");
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this.modelName = model;
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this.model = model;
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this.modelKwargs = fields?.modelKwargs ?? {};
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this.batchSize = fields?.batchSize ?? this.batchSize;
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this.timeout = fields?.timeout;
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this.temperature = fields?.temperature ?? this.temperature;
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this.maxTokens = fields?.maxTokens ?? this.maxTokens;
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this.topP = fields?.topP ?? this.topP;
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this.frequencyPenalty = fields?.frequencyPenalty ?? this.frequencyPenalty;
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this.presencePenalty = fields?.presencePenalty ?? this.presencePenalty;
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this.n = fields?.n ?? this.n;
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this.bestOf = fields?.bestOf ?? this.bestOf;
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this.logitBias = fields?.logitBias;
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this.stop = fields?.stopSequences ?? fields?.stop;
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this.stopSequences = fields?.stopSequences;
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this.user = fields?.user;
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this.streaming = fields?.streaming ?? false;
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if (this.streaming && this.bestOf && this.bestOf > 1) {
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throw new Error("Cannot stream results when bestOf > 1");
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}
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if (this.azureOpenAIApiKey || this.azureADTokenProvider) {
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if (!this.azureOpenAIApiInstanceName && !this.azureOpenAIBasePath) {
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throw new Error("Azure OpenAI API instance name not found");
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}
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if (!this.azureOpenAIApiDeploymentName) {
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throw new Error("Azure OpenAI API deployment name not found");
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}
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if (!this.azureOpenAIApiVersion) {
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throw new Error("Azure OpenAI API version not found");
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}
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this.apiKey = this.apiKey ?? "";
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}
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this.clientConfig = {
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apiKey: this.apiKey,
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organization: this.organization,
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baseURL: configuration?.basePath ?? fields?.configuration?.basePath,
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dangerouslyAllowBrowser: true,
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defaultHeaders: configuration?.baseOptions?.headers ??
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fields?.configuration?.baseOptions?.headers,
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defaultQuery: configuration?.baseOptions?.params ??
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fields?.configuration?.baseOptions?.params,
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...configuration,
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...fields?.configuration,
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};
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}
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/**
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* Get the parameters used to invoke the model
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*/
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invocationParams(options) {
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return {
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model: this.model,
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temperature: this.temperature,
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max_tokens: this.maxTokens,
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top_p: this.topP,
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frequency_penalty: this.frequencyPenalty,
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presence_penalty: this.presencePenalty,
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n: this.n,
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best_of: this.bestOf,
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logit_bias: this.logitBias,
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stop: options?.stop ?? this.stopSequences,
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user: this.user,
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stream: this.streaming,
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...this.modelKwargs,
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};
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}
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/** @ignore */
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_identifyingParams() {
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return {
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model_name: this.model,
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...this.invocationParams(),
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...this.clientConfig,
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};
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}
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/**
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|
|
* Get the identifying parameters for the model
|
||
|
|
*/
|
||
|
|
identifyingParams() {
|
||
|
|
return this._identifyingParams();
|
||
|
|
}
|
||
|
|
/**
|
||
|
|
* Call out to OpenAI's endpoint with k unique prompts
|
||
|
|
*
|
||
|
|
* @param [prompts] - The prompts to pass into the model.
|
||
|
|
* @param [options] - Optional list of stop words to use when generating.
|
||
|
|
* @param [runManager] - Optional callback manager to use when generating.
|
||
|
|
*
|
||
|
|
* @returns The full LLM output.
|
||
|
|
*
|
||
|
|
* @example
|
||
|
|
* ```ts
|
||
|
|
* import { OpenAI } from "langchain/llms/openai";
|
||
|
|
* const openai = new OpenAI();
|
||
|
|
* const response = await openai.generate(["Tell me a joke."]);
|
||
|
|
* ```
|
||
|
|
*/
|
||
|
|
async _generate(prompts, options, runManager) {
|
||
|
|
const subPrompts = (0, chunk_array_1.chunkArray)(prompts, this.batchSize);
|
||
|
|
const choices = [];
|
||
|
|
const tokenUsage = {};
|
||
|
|
const params = this.invocationParams(options);
|
||
|
|
if (params.max_tokens === -1) {
|
||
|
|
if (prompts.length !== 1) {
|
||
|
|
throw new Error("max_tokens set to -1 not supported for multiple inputs");
|
||
|
|
}
|
||
|
|
params.max_tokens = await (0, base_1.calculateMaxTokens)({
|
||
|
|
prompt: prompts[0],
|
||
|
|
// Cast here to allow for other models that may not fit the union
|
||
|
|
modelName: this.model,
|
||
|
|
});
|
||
|
|
}
|
||
|
|
for (let i = 0; i < subPrompts.length; i += 1) {
|
||
|
|
const data = params.stream
|
||
|
|
? await (async () => {
|
||
|
|
const choices = [];
|
||
|
|
let response;
|
||
|
|
const stream = await this.completionWithRetry({
|
||
|
|
...params,
|
||
|
|
stream: true,
|
||
|
|
prompt: subPrompts[i],
|
||
|
|
}, options);
|
||
|
|
for await (const message of stream) {
|
||
|
|
// on the first message set the response properties
|
||
|
|
if (!response) {
|
||
|
|
response = {
|
||
|
|
id: message.id,
|
||
|
|
object: message.object,
|
||
|
|
created: message.created,
|
||
|
|
model: message.model,
|
||
|
|
};
|
||
|
|
}
|
||
|
|
// on all messages, update choice
|
||
|
|
for (const part of message.choices) {
|
||
|
|
if (!choices[part.index]) {
|
||
|
|
choices[part.index] = part;
|
||
|
|
}
|
||
|
|
else {
|
||
|
|
const choice = choices[part.index];
|
||
|
|
choice.text += part.text;
|
||
|
|
choice.finish_reason = part.finish_reason;
|
||
|
|
choice.logprobs = part.logprobs;
|
||
|
|
}
|
||
|
|
void runManager?.handleLLMNewToken(part.text, {
|
||
|
|
prompt: Math.floor(part.index / this.n),
|
||
|
|
completion: part.index % this.n,
|
||
|
|
});
|
||
|
|
}
|
||
|
|
}
|
||
|
|
if (options.signal?.aborted) {
|
||
|
|
throw new Error("AbortError");
|
||
|
|
}
|
||
|
|
return { ...response, choices };
|
||
|
|
})()
|
||
|
|
: await this.completionWithRetry({
|
||
|
|
...params,
|
||
|
|
stream: false,
|
||
|
|
prompt: subPrompts[i],
|
||
|
|
}, {
|
||
|
|
signal: options.signal,
|
||
|
|
...options.options,
|
||
|
|
});
|
||
|
|
choices.push(...data.choices);
|
||
|
|
const { completion_tokens: completionTokens, prompt_tokens: promptTokens, total_tokens: totalTokens, } = data.usage
|
||
|
|
? data.usage
|
||
|
|
: {
|
||
|
|
completion_tokens: undefined,
|
||
|
|
prompt_tokens: undefined,
|
||
|
|
total_tokens: undefined,
|
||
|
|
};
|
||
|
|
if (completionTokens) {
|
||
|
|
tokenUsage.completionTokens =
|
||
|
|
(tokenUsage.completionTokens ?? 0) + completionTokens;
|
||
|
|
}
|
||
|
|
if (promptTokens) {
|
||
|
|
tokenUsage.promptTokens = (tokenUsage.promptTokens ?? 0) + promptTokens;
|
||
|
|
}
|
||
|
|
if (totalTokens) {
|
||
|
|
tokenUsage.totalTokens = (tokenUsage.totalTokens ?? 0) + totalTokens;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
const generations = (0, chunk_array_1.chunkArray)(choices, this.n).map((promptChoices) => promptChoices.map((choice) => ({
|
||
|
|
text: choice.text ?? "",
|
||
|
|
generationInfo: {
|
||
|
|
finishReason: choice.finish_reason,
|
||
|
|
logprobs: choice.logprobs,
|
||
|
|
},
|
||
|
|
})));
|
||
|
|
return {
|
||
|
|
generations,
|
||
|
|
llmOutput: { tokenUsage },
|
||
|
|
};
|
||
|
|
}
|
||
|
|
// TODO(jacoblee): Refactor with _generate(..., {stream: true}) implementation?
|
||
|
|
async *_streamResponseChunks(input, options, runManager) {
|
||
|
|
const params = {
|
||
|
|
...this.invocationParams(options),
|
||
|
|
prompt: input,
|
||
|
|
stream: true,
|
||
|
|
};
|
||
|
|
const stream = await this.completionWithRetry(params, options);
|
||
|
|
for await (const data of stream) {
|
||
|
|
const choice = data?.choices[0];
|
||
|
|
if (!choice) {
|
||
|
|
continue;
|
||
|
|
}
|
||
|
|
const chunk = new outputs_1.GenerationChunk({
|
||
|
|
text: choice.text,
|
||
|
|
generationInfo: {
|
||
|
|
finishReason: choice.finish_reason,
|
||
|
|
},
|
||
|
|
});
|
||
|
|
yield chunk;
|
||
|
|
// eslint-disable-next-line no-void
|
||
|
|
void runManager?.handleLLMNewToken(chunk.text ?? "");
|
||
|
|
}
|
||
|
|
if (options.signal?.aborted) {
|
||
|
|
throw new Error("AbortError");
|
||
|
|
}
|
||
|
|
}
|
||
|
|
async completionWithRetry(request, options) {
|
||
|
|
const requestOptions = this._getClientOptions(options);
|
||
|
|
return this.caller.call(async () => {
|
||
|
|
try {
|
||
|
|
const res = await this.client.completions.create(request, requestOptions);
|
||
|
|
return res;
|
||
|
|
}
|
||
|
|
catch (e) {
|
||
|
|
const error = (0, openai_js_1.wrapOpenAIClientError)(e);
|
||
|
|
throw error;
|
||
|
|
}
|
||
|
|
});
|
||
|
|
}
|
||
|
|
/**
|
||
|
|
* Calls the OpenAI API with retry logic in case of failures.
|
||
|
|
* @param request The request to send to the OpenAI API.
|
||
|
|
* @param options Optional configuration for the API call.
|
||
|
|
* @returns The response from the OpenAI API.
|
||
|
|
*/
|
||
|
|
_getClientOptions(options) {
|
||
|
|
if (!this.client) {
|
||
|
|
const openAIEndpointConfig = {
|
||
|
|
azureOpenAIApiDeploymentName: this.azureOpenAIApiDeploymentName,
|
||
|
|
azureOpenAIApiInstanceName: this.azureOpenAIApiInstanceName,
|
||
|
|
azureOpenAIApiKey: this.azureOpenAIApiKey,
|
||
|
|
azureOpenAIBasePath: this.azureOpenAIBasePath,
|
||
|
|
baseURL: this.clientConfig.baseURL,
|
||
|
|
};
|
||
|
|
const endpoint = (0, azure_js_1.getEndpoint)(openAIEndpointConfig);
|
||
|
|
const params = {
|
||
|
|
...this.clientConfig,
|
||
|
|
baseURL: endpoint,
|
||
|
|
timeout: this.timeout,
|
||
|
|
maxRetries: 0,
|
||
|
|
};
|
||
|
|
if (!params.baseURL) {
|
||
|
|
delete params.baseURL;
|
||
|
|
}
|
||
|
|
this.client = new openai_1.OpenAI(params);
|
||
|
|
}
|
||
|
|
const requestOptions = {
|
||
|
|
...this.clientConfig,
|
||
|
|
...options,
|
||
|
|
};
|
||
|
|
if (this.azureOpenAIApiKey) {
|
||
|
|
requestOptions.headers = {
|
||
|
|
"api-key": this.azureOpenAIApiKey,
|
||
|
|
...requestOptions.headers,
|
||
|
|
};
|
||
|
|
requestOptions.query = {
|
||
|
|
"api-version": this.azureOpenAIApiVersion,
|
||
|
|
...requestOptions.query,
|
||
|
|
};
|
||
|
|
}
|
||
|
|
return requestOptions;
|
||
|
|
}
|
||
|
|
_llmType() {
|
||
|
|
return "openai";
|
||
|
|
}
|
||
|
|
}
|
||
|
|
exports.OpenAI = OpenAI;
|