mirror of
https://github.com/Abdulazizzn/n8n-enterprise-unlocked.git
synced 2025-12-17 01:56:46 +00:00
fix: Revert AI nodes batching (#15129)
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@@ -47,30 +47,6 @@ export const toolsAgentProperties: INodeProperties[] = [
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description:
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'Whether or not binary images should be automatically passed through to the agent as image type messages',
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},
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{
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displayName: 'Batch Processing',
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name: 'batching',
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type: 'collection',
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description: 'Batch processing options for rate limiting',
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default: {},
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options: [
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{
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displayName: 'Batch Size',
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name: 'batchSize',
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default: 1,
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type: 'number',
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description:
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'How many items to process in parallel. This is useful for rate limiting, but will impact the ordering in the agents log output.',
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},
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{
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displayName: 'Delay Between Batches',
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name: 'delayBetweenBatches',
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default: 0,
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type: 'number',
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description: 'Delay in milliseconds between batches. This is useful for rate limiting.',
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},
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],
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},
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],
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},
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];
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@@ -11,13 +11,7 @@ import type { AgentAction, AgentFinish } from 'langchain/agents';
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import { AgentExecutor, createToolCallingAgent } from 'langchain/agents';
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import type { ToolsAgentAction } from 'langchain/dist/agents/tool_calling/output_parser';
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import { omit } from 'lodash';
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import {
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BINARY_ENCODING,
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jsonParse,
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NodeConnectionTypes,
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NodeOperationError,
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sleep,
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} from 'n8n-workflow';
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import { BINARY_ENCODING, jsonParse, NodeConnectionTypes, NodeOperationError } from 'n8n-workflow';
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import type { IExecuteFunctions, INodeExecutionData } from 'n8n-workflow';
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import type { ZodObject } from 'zod';
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import { z } from 'zod';
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@@ -412,21 +406,12 @@ export async function toolsAgentExecute(this: IExecuteFunctions): Promise<INodeE
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const returnData: INodeExecutionData[] = [];
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const items = this.getInputData();
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const outputParser = await getOptionalOutputParser(this);
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const memory = await getOptionalMemory(this);
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const tools = await getTools(this, outputParser);
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const { batchSize, delayBetweenBatches } = this.getNodeParameter('options.batching', 0, {
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batchSize: 1,
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delayBetweenBatches: 0,
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}) as {
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batchSize: number;
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delayBetweenBatches: number;
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};
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for (let i = 0; i < items.length; i += batchSize) {
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const batch = items.slice(i, i + batchSize);
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const batchPromises = batch.map(async (_item, batchItemIndex) => {
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const itemIndex = i + batchItemIndex;
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for (let itemIndex = 0; itemIndex < items.length; itemIndex++) {
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try {
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const model = await getChatModel(this);
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const memory = await getOptionalMemory(this);
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const input = getPromptInputByType({
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ctx: this,
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@@ -476,7 +461,7 @@ export async function toolsAgentExecute(this: IExecuteFunctions): Promise<INodeE
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});
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// Invoke the executor with the given input and system message.
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return await executor.invoke(
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const response = await executor.invoke(
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{
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input,
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system_message: options.systemMessage ?? SYSTEM_MESSAGE,
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@@ -485,22 +470,7 @@ export async function toolsAgentExecute(this: IExecuteFunctions): Promise<INodeE
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},
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{ signal: this.getExecutionCancelSignal() },
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);
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});
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const batchResults = await Promise.allSettled(batchPromises);
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batchResults.forEach((result, index) => {
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if (result.status === 'rejected') {
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if (this.continueOnFail()) {
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returnData.push({
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json: { error: result.reason as string },
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pairedItem: { item: index },
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});
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return;
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} else {
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throw new NodeOperationError(this.getNode(), result.reason);
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}
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}
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const response = result.value;
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// If memory and outputParser are connected, parse the output.
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if (memory && outputParser) {
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const parsedOutput = jsonParse<{ output: Record<string, unknown> }>(
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@@ -522,10 +492,15 @@ export async function toolsAgentExecute(this: IExecuteFunctions): Promise<INodeE
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};
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returnData.push(itemResult);
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});
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if (i + batchSize < items.length && delayBetweenBatches > 0) {
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await sleep(delayBetweenBatches);
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} catch (error) {
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if (this.continueOnFail()) {
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returnData.push({
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json: { error: error.message },
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pairedItem: { item: itemIndex },
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});
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continue;
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}
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throw error;
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}
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}
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