@n8n/n8n-nodes-langchain
Version:
344 lines • 11.6 kB
JavaScript
;
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 LmChatAnthropic_node_exports = {};
__export(LmChatAnthropic_node_exports, {
LmChatAnthropic: () => LmChatAnthropic
});
module.exports = __toCommonJS(LmChatAnthropic_node_exports);
var import_anthropic = require("@langchain/anthropic");
var import_httpProxyAgent = require("../../../utils/httpProxyAgent");
var import_sharedFields = require("../../../utils/sharedFields");
var import_n8n_workflow = require("n8n-workflow");
var import_n8nLlmFailedAttemptHandler = require("../n8nLlmFailedAttemptHandler");
var import_N8nLlmTracing = require("../N8nLlmTracing");
var import_searchModels = require("./methods/searchModels");
const modelField = {
displayName: "Model",
name: "model",
type: "options",
// eslint-disable-next-line n8n-nodes-base/node-param-options-type-unsorted-items
options: [
{
name: "Claude 3.5 Sonnet(20241022)",
value: "claude-3-5-sonnet-20241022"
},
{
name: "Claude 3 Opus(20240229)",
value: "claude-3-opus-20240229"
},
{
name: "Claude 3.5 Sonnet(20240620)",
value: "claude-3-5-sonnet-20240620"
},
{
name: "Claude 3 Sonnet(20240229)",
value: "claude-3-sonnet-20240229"
},
{
name: "Claude 3.5 Haiku(20241022)",
value: "claude-3-5-haiku-20241022"
},
{
name: "Claude 3 Haiku(20240307)",
value: "claude-3-haiku-20240307"
},
{
name: "LEGACY: Claude 2",
value: "claude-2"
},
{
name: "LEGACY: Claude 2.1",
value: "claude-2.1"
},
{
name: "LEGACY: Claude Instant 1.2",
value: "claude-instant-1.2"
},
{
name: "LEGACY: Claude Instant 1",
value: "claude-instant-1"
}
],
description: 'The model which will generate the completion. <a href="https://docs.anthropic.com/claude/docs/models-overview">Learn more</a>.',
default: "claude-2"
};
const MIN_THINKING_BUDGET = 1024;
const DEFAULT_MAX_TOKENS = 4096;
class LmChatAnthropic {
constructor() {
this.methods = {
listSearch: {
searchModels: import_searchModels.searchModels
}
};
this.description = {
displayName: "Anthropic Chat Model",
name: "lmChatAnthropic",
icon: "file:anthropic.svg",
group: ["transform"],
version: [1, 1.1, 1.2, 1.3],
defaultVersion: 1.3,
description: "Language Model Anthropic",
defaults: {
name: "Anthropic Chat Model"
},
codex: {
categories: ["AI"],
subcategories: {
AI: ["Language Models", "Root Nodes"],
"Language Models": ["Chat Models (Recommended)"]
},
resources: {
primaryDocumentation: [
{
url: "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatanthropic/"
}
]
},
alias: ["claude", "sonnet", "opus"]
},
inputs: [],
outputs: [import_n8n_workflow.NodeConnectionTypes.AiLanguageModel],
outputNames: ["Model"],
credentials: [
{
name: "anthropicApi",
required: true
}
],
properties: [
(0, import_sharedFields.getConnectionHintNoticeField)([import_n8n_workflow.NodeConnectionTypes.AiChain, import_n8n_workflow.NodeConnectionTypes.AiChain]),
{
...modelField,
displayOptions: {
show: {
"@version": [1]
}
}
},
{
...modelField,
default: "claude-3-sonnet-20240229",
displayOptions: {
show: {
"@version": [1.1]
}
}
},
{
...modelField,
default: "claude-3-5-sonnet-20240620",
options: (modelField.options ?? []).filter(
(o) => "name" in o && !o.name.toString().startsWith("LEGACY")
),
displayOptions: {
show: {
"@version": [{ _cnd: { lte: 1.2 } }]
}
}
},
{
displayName: "Model",
name: "model",
type: "resourceLocator",
default: {
mode: "list",
value: "claude-sonnet-4-5-20250929",
cachedResultName: "Claude Sonnet 4.5"
},
required: true,
modes: [
{
displayName: "From List",
name: "list",
type: "list",
placeholder: "Select a model...",
typeOptions: {
searchListMethod: "searchModels",
searchable: true
}
},
{
displayName: "ID",
name: "id",
type: "string",
placeholder: "Claude Sonnet"
}
],
description: 'The model. Choose from the list, or specify an ID. <a href="https://docs.anthropic.com/claude/docs/models-overview">Learn more</a>.',
displayOptions: {
show: {
"@version": [{ _cnd: { gte: 1.3 } }]
}
}
},
{
displayName: "Options",
name: "options",
placeholder: "Add Option",
description: "Additional options to add",
type: "collection",
default: {},
options: [
{
displayName: "Maximum Number of Tokens",
name: "maxTokensToSample",
default: DEFAULT_MAX_TOKENS,
description: "The maximum number of tokens to generate in the completion",
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",
displayOptions: {
hide: {
thinking: [true]
}
}
},
{
displayName: "Top K",
name: "topK",
default: -1,
typeOptions: { maxValue: 1, minValue: -1, numberPrecision: 1 },
description: 'Used to remove "long tail" low probability responses. Defaults to -1, which disables it.',
type: "number",
displayOptions: {
hide: {
thinking: [true]
}
}
},
{
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",
displayOptions: {
hide: {
thinking: [true]
}
}
},
{
displayName: "Enable Thinking",
name: "thinking",
type: "boolean",
default: false,
description: "Whether to enable thinking mode for the model"
},
{
displayName: "Thinking Budget (Tokens)",
name: "thinkingBudget",
type: "number",
default: MIN_THINKING_BUDGET,
description: "The maximum number of tokens to use for thinking",
displayOptions: {
show: {
thinking: [true]
}
}
}
]
}
]
};
}
async supplyData(itemIndex) {
const credentials = await this.getCredentials("anthropicApi");
const baseURL = credentials.url ?? "https://api.anthropic.com";
const version = this.getNode().typeVersion;
const modelName = version >= 1.3 ? this.getNodeParameter("model.value", itemIndex) : this.getNodeParameter("model", itemIndex);
const options = this.getNodeParameter("options", itemIndex, {});
let invocationKwargs = {};
const tokensUsageParser = (result) => {
const usage = result?.llmOutput?.usage ?? {
input_tokens: 0,
output_tokens: 0
};
return {
completionTokens: usage.output_tokens,
promptTokens: usage.input_tokens,
totalTokens: usage.input_tokens + usage.output_tokens
};
};
if (options.thinking) {
invocationKwargs = {
thinking: {
type: "enabled",
// If thinking is enabled, we need to set a budget.
// We fallback to 1024 as that is the minimum
budget_tokens: options.thinkingBudget ?? MIN_THINKING_BUDGET
},
// The default Langchain max_tokens is -1 (no limit) but Anthropic requires a number
// higher than budget_tokens
max_tokens: options.maxTokensToSample ?? DEFAULT_MAX_TOKENS,
// These need to be unset when thinking is enabled.
// Because the invocationKwargs will override the model options
// we can pass options to the model and then override them here
top_k: void 0,
top_p: void 0,
temperature: void 0
};
}
const clientOptions = {
fetchOptions: {
dispatcher: (0, import_httpProxyAgent.getProxyAgent)(baseURL)
}
};
if (credentials.header && typeof credentials.headerName === "string" && credentials.headerName && typeof credentials.headerValue === "string") {
clientOptions.defaultHeaders = {
[credentials.headerName]: credentials.headerValue
};
}
const model = new import_anthropic.ChatAnthropic({
anthropicApiKey: credentials.apiKey,
model: modelName,
anthropicApiUrl: baseURL,
maxTokens: options.maxTokensToSample,
temperature: options.temperature,
topK: options.topK,
topP: options.topP,
callbacks: [new import_N8nLlmTracing.N8nLlmTracing(this, { tokensUsageParser })],
onFailedAttempt: (0, import_n8nLlmFailedAttemptHandler.makeN8nLlmFailedAttemptHandler)(this),
invocationKwargs,
clientOptions
});
if (options.topP === void 0) {
delete model.topP;
}
if (options.topP !== void 0 && options.temperature === void 0) {
delete model.temperature;
}
return {
response: model
};
}
}
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
LmChatAnthropic
});
//# sourceMappingURL=LmChatAnthropic.node.js.map