AutomationFlowsRecipes › Chat Trigger → Toolhttprequest

Chat Trigger → Toolhttprequest

When you need Chat Trigger and Toolhttprequest talking to each other, here are the 53 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair Chat Trigger with Toolhttprequest

AI & RAG

by Varritech Technologies

Chat Trigger, Agent, OpenAI Chat +8
AI & RAG

The Best Linkedin Posting System. Uses httpRequest, lmChatOpenAi, agent, chatTrigger. Chat trigger; 49 nodes.

HTTP Request, OpenAI Chat, Agent +8
AI & RAG

Dynamic Models. Uses lmChatOpenRouter, agent, gmailTool, airtableTool. Event-driven trigger; 43 nodes.

OpenRouter Chat, Agent, Gmail Tool +12
AI & RAG

Advanced Ai Demo Presented At Ai Developers 14 Meetup. Uses slack, stickyNote, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Chat trigger; 39 nodes.

Slack, Text Splitter Recursive Character Text Splitter, OpenAI Embeddings +14
AI & RAG

Advanced Ai Demo (Presented At Ai Developers #14 Meetup). Uses slack, stickyNote, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Chat trigger; 39 nodes.

Slack, Text Splitter Recursive Character Text Splitter, OpenAI Embeddings +14
AI & RAG

Workflow 2358. Uses slack, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, documentDefaultDataLoader. Chat trigger; 39 nodes.

Slack, Text Splitter Recursive Character Text Splitter, OpenAI Embeddings +14
AI & RAG

2358. Uses slack, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, documentDefaultDataLoader. Chat trigger; 39 nodes.

Slack, Text Splitter Recursive Character Text Splitter, OpenAI Embeddings +14
AI & RAG

This workflow was presented at the AI Developers meet up in San Fransico on 24 July, 2024. Categorize incoming Gmail emails and assign custom Gmail labels. This example uses the Text Classifier node,

Slack, Text Splitter Recursive Character Text Splitter, OpenAI Embeddings +14
AI & RAG

This workflow transforms a Google Drive folder into an intelligent, searchable knowledge base and provides a chat agent to query it. It’s composed of two distinct flows: An ingestion pipeline to proce

OpenAI Embeddings, OpenAI Chat, Tool Http Request +10
AI & RAG

Think Agents. Uses agent, chatTrigger, toolThink, lmChatAnthropic. Chat trigger; 38 nodes.

Agent, Chat Trigger, Tool Think +11
AI & RAG

Indoor Farming Agent. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, toolVectorStore. Webhook trigger; 36 nodes.

OpenAI Chat, Document Default Data Loader, OpenAI Embeddings +16
AI & RAG

veo limpo new. Uses moveBinaryData, httpRequest, chatTrigger, baserow. Webhook trigger; 36 nodes.

Move Binary Data, HTTP Request, Chat Trigger +8
AI & RAG

Proxmox Ai Agent With N8N And Generative Ai Integration. Uses httpRequest, toolHttpRequest, outputParserAutofixing, lmChatGoogleGemini. Chat trigger; 35 nodes.

HTTP Request, Tool Http Request, Output Parser Autofixing +6
AI & RAG

Telegram. Uses httpRequest, toolHttpRequest, outputParserAutofixing, lmChatGoogleGemini. Chat trigger; 35 nodes.

HTTP Request, Tool Http Request, Output Parser Autofixing +6
AI & RAG

This template automates IT operations on a Proxmox Virtual Environment (VE) using an AI-powered conversational agent built with n8n. By integrating Proxmox APIs and generative AI models (e.g., Google

HTTP Request, Tool Http Request, Output Parser Autofixing +6
AI & RAG

Respondtowebhook Stickynote. Uses lmChatOpenAi, respondToWebhook, toolWorkflow, chatTrigger. Webhook trigger; 28 nodes.

OpenAI Chat, Tool Workflow, Chat Trigger +3
AI & RAG

ModelRouter. Uses chatTrigger, agent, modelSelector, httpRequest. Chat trigger; 28 nodes.

Chat Trigger, Agent, Model Selector +8
AI & RAG

Create A Branded Ai-Powered Website Chatbot. Uses memoryBufferWindow, respondToWebhook, lmChatOpenAi, toolHttpRequest. Webhook trigger; 24 nodes.

Memory Buffer Window, OpenAI Chat, Tool Http Request +6
AI & RAG

Code Respondtowebhook. Uses memoryBufferWindow, respondToWebhook, lmChatOpenAi, toolHttpRequest. Webhook trigger; 24 nodes.

Memory Buffer Window, OpenAI Chat, Tool Http Request +6
AI & RAG

Engage website visitors with an intelligent chat widget powered by OpenAI. This template includes: 💬 Natural conversation handling 📅 Microsoft Outlook calendar integration 📝 Lead capture and informati

Memory Buffer Window, OpenAI Chat, Tool Http Request +6
AI & RAG

This general-purpose sub-agent combines multiple research and automation tools to support high-impact decision-making for animal advocacy workflows. It’s designed to act as a reusable, modular unit wi

Tool Http Request, OpenRouter Chat, Agent +7
AI & RAG

Want to check out all my flows, follow me on:

Agent, Output Parser Structured, Tool Workflow +6
AI & RAG

Chat with an AI and ask questions about your Meta Ads metrics.

Agent, OpenAI Chat, Chat Trigger +8
AI & RAG

Aiden. Uses supabase, chat, memoryBufferWindow, memoryPostgresChat. Chat trigger; 20 nodes.

Supabase, Chat, Memory Buffer Window +9

See more Chat Trigger workflows · Toolhttprequest workflows

FAQ

How do I trigger a Toolhttprequest action from Chat Trigger?

Most workflows in this list use either a Chat Trigger webhook trigger (real-time) or a polling trigger (every N minutes). From there, downstream Toolhttprequest nodes handle the action. Open any workflow's detail page to see the exact node graph.

Do I need both a Chat Trigger and a Toolhttprequest account?

Yes — n8n connects to each integration via your own credentials. AutomationFlows strips credential IDs before publishing, so you'll add your own.

Are these Chat Trigger → Toolhttprequest workflows free?

Yes — every workflow on AutomationFlows is free to browse and copy. Pro adds a multi-signal QualityScore on every workflow plus bulk JSON download.