InstaTest
Configured with Agent, OpenAI Chat Model, Memory Buffer Window, Respond To Webhook, and additional nodes. Review the connections and setup before adapting this template.
Node categories in this workflow
- Transform
- Data store
- AI & models
- Web / API
- Trigger
Icons describe general node roles, inferred from node types. Inspect the parameters for the configured action.
Drag to pan; use + and − to zoom. Reconstructed from the exported node positions; nothing runs here. Dashed lines represent non-main connections. Full node names and notes appear below.
How it works
The exported workflow contains the following configured nodes. Their connections are shown above; inspect the JSON for the complete logic, expressions, and external actions.
| Node | Category | Type | Operation |
|---|---|---|---|
| Set your system promt for AI | Transform | Edit Fields | See node parameters |
| Local n8n memory | Data store | Memory Buffer Window | See node parameters |
| ChatGPT model | AI & models | OpenAI Chat Model | See node parameters |
| Send respond | Web / API | Respond To Webhook | See node parameters |
| Getting message from Instagram | Trigger | Webhook | See node parameters |
| AI Agent | AI & models | Agent | See node parameters |
Setup
- Download the JSON and import it into an isolated n8n instance. Leave the workflow inactive.
- Connect your own credentials through n8n’s credential store. Replace
REPLACE_WITH_*values with your resource identifiers. - Inspect API destinations, Code nodes, database queries, file paths, and outbound actions.
- Run with synthetic data and harmless destinations. Enable triggers only after checking the actual outputs.
Requirements
An n8n instance with the listed node types and compatible versions. Service-connected workflows may require accounts, credentials, or paid APIs.
Credential types declared in the source
openAiApi
Workflow notes
Set your system promt for AI
In this node in "prompt" variable you can set your system prompt
Easy Instagram(via ManyChat) bot
Easy Instagram(via ManyChat) bot
Description:
This template is a main part of Entire solution. It's getting new message from Instagram via ManyChat(Extra No-Code tool for getting and sending message in Instagram). Generating message using ChatGPT and send back to ManyChat that sends it to Instagrtam.
Logic:
- Getting message from Instagram(from ManyChat)
- Set you system prompt for AI
- Create simple answer for message in AI block
- Send answer to Instagram(to ManyChat)
Helpful links:
3) AI block
3) AI block
There is 3 nodes:
- AI Agent
- Chat GPT model
- Memory for history messages
To do:
- in ChatGPT node you can choose the best model for you
- in Memory Block you can change number of messages in history
1) HTTP Post webhook
1) HTTP Post webhook
To do: Just copy production link from this node and insert to custom action in ManyChat
No edits needed
2) Edit prompt
2) Edit prompt
To do: Go inside and change input
4) Respond webhook
4) Respond webhook
No edits needed
InstaTest
InstaTest
Purpose and structure
This folder contains the InstaTest workflow. Its executable nodes use agent, lmChatOpenAi, memoryBufferWindow, respondToWebhook, set, webhook. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.
Setup
Import inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.
Entry points
Getting message from Instagram
Verification
Sanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.
Attribution
https://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Respondtowebhook/1967_Respondtowebhook_Stickynote_Automation_Webhook.json MIT; preserve source notices.