AI Agents
Automated workflow
11 nodes
217
119
Automatic trigger
Workflow Description
An automated workflow leveraging LLM chains powered by OpenAI to process and analyze inputs with automatic result correction and structured formatting capabilities.
How it works
- 1.Trigger the workflow manually or wait for an external activation event
- 2.Send input data to an LLM chain connected to OpenAI for processing
- 3.Parse the response using a structured output parser to extract formatted data
- 4.Automatically correct errors using the autofix parser when needed
Use cases
- Extract structured information from unstructured text
- Generate intelligent responses processed and formatted according to specifications
- Improve accuracy by automatically correcting output errors
Requirements
- Active OpenAI API key with sufficient quota
- Defined JSON schema or format specification for output structure
- Clear input and output requirements for the intended use case
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
LLM Chain
OpenAI
Output Parser
Details
Trigger
Automatic trigger
Nodes
11
Apps
3
Views
217
Downloads
119
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (11)
/
When clicking "Execute Workflow"
Manual Trigger
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Sticky Note2
Sticky Note
Sticky Note3
Sticky Note
Basic LLM Chain
LLM Chain
Prompt
Set
OpenAI Chat Model
OpenAI
Auto-fixing Output Parser
Output Parser Autofixing
OpenAI Chat Model1
OpenAI
Structured Output Parser
Output Parser Structured