@n8n/n8n-nodes-langchain
Version:
242 lines • 8.18 kB
JavaScript
"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 description_exports = {};
__export(description_exports, {
ollamaDescription: () => ollamaDescription,
ollamaModel: () => ollamaModel,
ollamaOptions: () => ollamaOptions
});
module.exports = __toCommonJS(description_exports);
const ollamaDescription = {
credentials: [
{
name: "ollamaApi",
required: true
}
],
requestDefaults: {
ignoreHttpStatusErrors: true,
baseURL: '={{ $credentials.baseUrl.replace(new RegExp("/$"), "") }}'
}
};
const ollamaModel = {
displayName: "Model",
name: "model",
type: "options",
default: "llama3.2",
description: 'The model which will generate the completion. To download models, visit <a href="https://ollama.ai/library">Ollama Models Library</a>.',
typeOptions: {
loadOptions: {
routing: {
request: {
method: "GET",
url: "/api/tags"
},
output: {
postReceive: [
{
type: "rootProperty",
properties: {
property: "models"
}
},
{
type: "setKeyValue",
properties: {
name: "={{$responseItem.name}}",
value: "={{$responseItem.name}}"
}
},
{
type: "sort",
properties: {
key: "name"
}
}
]
}
}
}
},
routing: {
send: {
type: "body",
property: "model"
}
},
required: true
};
const ollamaOptions = {
displayName: "Options",
name: "options",
placeholder: "Add Option",
description: "Additional options to add",
type: "collection",
default: {},
options: [
{
displayName: "Sampling Temperature",
name: "temperature",
default: 0.7,
typeOptions: { maxValue: 1, minValue: 0, numberPrecision: 1 },
description: "Controls the randomness of the generated text. Lower values make the output more focused and deterministic, while higher values make it more diverse and random.",
type: "number"
},
{
displayName: "Top K",
name: "topK",
default: -1,
typeOptions: { maxValue: 100, minValue: -1, numberPrecision: 1 },
description: "Limits the number of highest probability vocabulary tokens to consider at each step. A higher value increases diversity but may reduce coherence. Set to -1 to disable.",
type: "number"
},
{
displayName: "Top P",
name: "topP",
default: 1,
typeOptions: { maxValue: 1, minValue: 0, numberPrecision: 1 },
description: "Chooses from the smallest possible set of tokens whose cumulative probability exceeds the probability top_p. Helps generate more human-like text by reducing repetitions.",
type: "number"
},
{
displayName: "Frequency Penalty",
name: "frequencyPenalty",
type: "number",
default: 0,
typeOptions: { minValue: 0 },
description: "Adjusts the penalty for tokens that have already appeared in the generated text. Higher values discourage repetition."
},
{
displayName: "Keep Alive",
name: "keepAlive",
type: "string",
default: "5m",
description: "Specifies the duration to keep the loaded model in memory after use. Useful for frequently used models. Format: 1h30m (1 hour 30 minutes)."
},
{
displayName: "Low VRAM Mode",
name: "lowVram",
type: "boolean",
default: false,
description: "Whether to Activate low VRAM mode, which reduces memory usage at the cost of slower generation speed. Useful for GPUs with limited memory."
},
{
displayName: "Main GPU ID",
name: "mainGpu",
type: "number",
default: 0,
description: "Specifies the ID of the GPU to use for the main computation. Only change this if you have multiple GPUs."
},
{
displayName: "Context Batch Size",
name: "numBatch",
type: "number",
default: 512,
description: "Sets the batch size for prompt processing. Larger batch sizes may improve generation speed but increase memory usage."
},
{
displayName: "Context Length",
name: "numCtx",
type: "number",
default: 2048,
description: "The maximum number of tokens to use as context for generating the next token. Smaller values reduce memory usage, while larger values provide more context to the model."
},
{
displayName: "Number of GPUs",
name: "numGpu",
type: "number",
default: -1,
description: "Specifies the number of GPUs to use for parallel processing. Set to -1 for auto-detection."
},
{
displayName: "Max Tokens to Generate",
name: "numPredict",
type: "number",
default: -1,
description: "The maximum number of tokens to generate. Set to -1 for no limit. Be cautious when setting this to a large value, as it can lead to very long outputs."
},
{
displayName: "Number of CPU Threads",
name: "numThread",
type: "number",
default: 0,
description: "Specifies the number of CPU threads to use for processing. Set to 0 for auto-detection."
},
{
displayName: "Penalize Newlines",
name: "penalizeNewline",
type: "boolean",
default: true,
description: "Whether the model will be less likely to generate newline characters, encouraging longer continuous sequences of text"
},
{
displayName: "Presence Penalty",
name: "presencePenalty",
type: "number",
default: 0,
description: "Adjusts the penalty for tokens based on their presence in the generated text so far. Positive values penalize tokens that have already appeared, encouraging diversity."
},
{
displayName: "Repetition Penalty",
name: "repeatPenalty",
type: "number",
default: 1,
description: "Adjusts the penalty factor for repeated tokens. Higher values more strongly discourage repetition. Set to 1.0 to disable repetition penalty."
},
{
displayName: "Use Memory Locking",
name: "useMLock",
type: "boolean",
default: false,
description: "Whether to lock the model in memory to prevent swapping. This can improve performance but requires sufficient available memory."
},
{
displayName: "Use Memory Mapping",
name: "useMMap",
type: "boolean",
default: true,
description: "Whether to use memory mapping for loading the model. This can reduce memory usage but may impact performance. Recommended to keep enabled."
},
{
displayName: "Load Vocabulary Only",
name: "vocabOnly",
type: "boolean",
default: false,
description: "Whether to only load the model vocabulary without the weights. Useful for quickly testing tokenization."
},
{
displayName: "Output Format",
name: "format",
type: "options",
options: [
{ name: "Default", value: "default" },
{ name: "JSON", value: "json" }
],
default: "default",
description: "Specifies the format of the API response"
}
]
};
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
ollamaDescription,
ollamaModel,
ollamaOptions
});
//# sourceMappingURL=description.js.map