"use strict";
var __defProp = Object.defineProperty;
var __getOwnPropDesc = Object.getOwnPropertyDescriptor;
var __getOwnPropNames = Object.getOwnPropertyNames;
var __hasOwnProp = Object.prototype.hasOwnProperty;
var __export = (target, all) => {
  for (var name in all)
    __defProp(target, name, { get: all[name], enumerable: true });
};
var __copyProps = (to, from, except, desc) => {
  if (from && typeof from === "object" || typeof from === "function") {
    for (let key of __getOwnPropNames(from))
      if (!__hasOwnProp.call(to, key) && key !== except)
        __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });
  }
  return to;
};
var __toCommonJS = (mod) => __copyProps(__defProp({}, "__esModule", { value: true }), mod);
var LmOpenAi_node_exports = {};
__export(LmOpenAi_node_exports, {
  LmOpenAi: () => LmOpenAi
});
module.exports = __toCommonJS(LmOpenAi_node_exports);
var import_openai = require("@langchain/openai");
var import_n8n_workflow = require("n8n-workflow");
var import_httpProxyAgent = require("../../../utils/httpProxyAgent");
var import_di = require("@n8n/di");
var import_config = require("@n8n/config");
var import_n8nLlmFailedAttemptHandler = require("../n8nLlmFailedAttemptHandler");
var import_N8nLlmTracing = require("../N8nLlmTracing");
class LmOpenAi {
  constructor() {
    this.description = {
      displayName: "OpenAI Model",
      name: "lmOpenAi",
      hidden: true,
      icon: { light: "file:openAiLight.svg", dark: "file:openAiLight.dark.svg" },
      group: ["transform"],
      version: 1,
      description: "For advanced usage with an AI chain",
      defaults: {
        name: "OpenAI Model"
      },
      codex: {
        categories: ["AI"],
        subcategories: {
          AI: ["Language Models", "Root Nodes"],
          "Language Models": ["Text Completion Models"]
        },
        resources: {
          primaryDocumentation: [
            {
              url: "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmopenai/"
            }
          ]
        }
      },
      inputs: [],
      outputs: [import_n8n_workflow.NodeConnectionTypes.AiLanguageModel],
      outputNames: ["Model"],
      credentials: [
        {
          name: "openAiApi",
          required: true
        }
      ],
      requestDefaults: {
        ignoreHttpStatusErrors: true,
        baseURL: '={{ $parameter.options?.baseURL?.split("/").slice(0,-1).join("/") || "https://api.openai.com" }}'
      },
      properties: [
        {
          displayName: "This node is using OpenAI completions which are now deprecated. Please use the OpenAI Chat Model node instead.",
          name: "deprecated",
          type: "notice",
          default: ""
        },
        {
          displayName: "Model",
          name: "model",
          type: "resourceLocator",
          default: { mode: "list", value: "gpt-3.5-turbo-instruct" },
          required: true,
          description: 'The model which will generate the completion. <a href="https://beta.openai.com/docs/models/overview">Learn more</a>.',
          modes: [
            {
              displayName: "From List",
              name: "list",
              type: "list",
              typeOptions: {
                searchListMethod: "openAiModelSearch"
              }
            },
            {
              displayName: "ID",
              name: "id",
              type: "string"
            }
          ],
          routing: {
            send: {
              type: "body",
              property: "model",
              value: "={{$parameter.model.value}}"
            }
          }
        },
        {
          displayName: "When using non OpenAI models via Base URL override, not all models might be chat-compatible or support other features, like tools calling or JSON response format.",
          name: "notice",
          type: "notice",
          default: "",
          displayOptions: {
            show: {
              "/options.baseURL": [{ _cnd: { exists: true } }]
            }
          }
        },
        {
          displayName: "Options",
          name: "options",
          placeholder: "Add Option",
          description: "Additional options to add",
          type: "collection",
          default: {},
          options: [
            {
              displayName: "Base URL",
              name: "baseURL",
              default: "https://api.openai.com/v1",
              description: "Override the default base URL for the API",
              type: "string"
            },
            {
              displayName: "Frequency Penalty",
              name: "frequencyPenalty",
              default: 0,
              typeOptions: { maxValue: 2, minValue: -2, numberPrecision: 1 },
              description: "Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim",
              type: "number"
            },
            {
              displayName: "Maximum Number of Tokens",
              name: "maxTokens",
              default: -1,
              description: "The maximum number of tokens to generate in the completion. Most models have a context length of 2048 tokens (except for the newest models, which support 32,768).",
              type: "number",
              typeOptions: {
                maxValue: 32768
              }
            },
            {
              displayName: "Presence Penalty",
              name: "presencePenalty",
              default: 0,
              typeOptions: { maxValue: 2, minValue: -2, numberPrecision: 1 },
              description: "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics",
              type: "number"
            },
            {
              displayName: "Sampling Temperature",
              name: "temperature",
              default: 0.7,
              typeOptions: { maxValue: 1, minValue: 0, numberPrecision: 1 },
              description: "Controls randomness: Lowering results in less random completions. As the temperature approaches zero, the model will become deterministic and repetitive.",
              type: "number"
            },
            {
              displayName: "Timeout",
              name: "timeout",
              default: 6e4,
              description: "Maximum amount of time a request is allowed to take in milliseconds",
              type: "number"
            },
            {
              displayName: "Max Retries",
              name: "maxRetries",
              default: 2,
              description: "Maximum number of retries to attempt",
              type: "number"
            },
            {
              displayName: "Top P",
              name: "topP",
              default: 1,
              typeOptions: { maxValue: 1, minValue: 0, numberPrecision: 1 },
              description: "Controls diversity via nucleus sampling: 0.5 means half of all likelihood-weighted options are considered. We generally recommend altering this or temperature but not both.",
              type: "number"
            }
          ]
        }
      ]
    };
    this.methods = {
      listSearch: {
        async openAiModelSearch() {
          const results = [];
          const options = this.getNodeParameter("options", {});
          let uri = "https://api.openai.com/v1/models";
          if (options.baseURL) {
            uri = `${options.baseURL}/models`;
          }
          const { data } = await this.helpers.requestWithAuthentication.call(this, "openAiApi", {
            method: "GET",
            uri,
            json: true
          });
          for (const model of data) {
            if (!options.baseURL && !model.owned_by?.startsWith("system")) continue;
            results.push({
              name: model.id,
              value: model.id
            });
          }
          return { results };
        }
      }
    };
  }
  async supplyData(itemIndex) {
    const credentials = await this.getCredentials("openAiApi");
    const modelName = this.getNodeParameter("model", itemIndex, "", {
      extractValue: true
    });
    const options = this.getNodeParameter("options", itemIndex, {});
    const { openAiDefaultHeaders: defaultHeaders } = import_di.Container.get(import_config.AiConfig);
    const configuration = {
      fetchOptions: {
        dispatcher: (0, import_httpProxyAgent.getProxyAgent)(options.baseURL ?? "https://api.openai.com/v1")
      },
      defaultHeaders
    };
    if (options.baseURL) {
      configuration.baseURL = options.baseURL;
    }
    const model = new import_openai.OpenAI({
      apiKey: credentials.apiKey,
      model: modelName,
      ...options,
      configuration,
      timeout: options.timeout ?? 6e4,
      maxRetries: options.maxRetries ?? 2,
      callbacks: [new import_N8nLlmTracing.N8nLlmTracing(this)],
      onFailedAttempt: (0, import_n8nLlmFailedAttemptHandler.makeN8nLlmFailedAttemptHandler)(this)
    });
    return {
      response: model
    };
  }
}
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
  LmOpenAi
});
//# sourceMappingURL=LmOpenAi.node.js.map