← All N8N workflows
AI & researchChain LLMHTTP RequestLM Chat Azure Open AiSchedule TriggerEdit Fields

Gratitude Jar Reminder

Configured with Chain LLM, HTTP Request, LM Chat Azure Open Ai, Schedule Trigger. Review the connections and setup before adapting this template.

Workflow preview
TriggerTrigger 2100 BearGratitude Jar NoticeSchedule TriggerAI & modelsWriteReminderChain LLMTransformReformat Output fromChat ModelEdit FieldsAI & modelsAzure OpenAI Chat ModelLM Chat Azure Open AiWeb / APILine Push MessageHTTP Request

Node categories in this workflow

  • Trigger
  • AI & models
  • Transform
  • Web / API

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.

Workflow node names, types, and operations
NodeCategoryTypeOperation
Trigger 2100 Bear Gratitude Jar NoticeTriggerSchedule TriggerSee node parameters
WriteReminderAI & modelsChain LLMSee node parameters
Reformat Output from Chat ModelTransformEdit FieldsSee node parameters
Azure OpenAI Chat ModelAI & modelsLM Chat Azure Open AiSee node parameters
Line Push MessageWeb / APIHTTP RequestPOST

Setup

  1. Download the JSON and import it into an isolated n8n instance. Leave the workflow inactive.
  2. Connect your own credentials through n8n’s credential store. Replace REPLACE_WITH_* values with your resource identifiers.
  3. Inspect API destinations, Code nodes, database queries, file paths, and outbound actions.
  4. 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

  • azureOpenAiApi
  • httpHeaderAuth

Workflow notes

Trigger

Trigger

We schedule the trigger at 9.00 pm before going to bed. This flow is to reflect what is the great thing that happened today.

Write Reminder

Write Reminder

After getting the same reminder, we tend to ignore it. This is to generate variations of reminder by setting the temperature of the model at 0.9

Reformatted

Reformatted

This is to reformat text to be able to send in Line Push API properly.

Push Message

Push Message

Send push message via LINE

Gratitude Jar Reminder

Gratitude Jar Reminder

Purpose and structure

This folder contains the Gratitude Jar Reminder workflow. Its executable nodes use chainLlm, httpRequest, lmChatAzureOpenAi, scheduleTrigger, set. 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

Trigger 2100 Bear Gratitude Jar Notice

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/Http/1651_HTTP_Schedule_Automation_Webhook.json MIT; preserve source notices.

More in AI & research