Dynamic Prompt Generation from GitHub with Language Model Integration

Name: Dynamic Prompt Generation from GitHub with Language Model Integration
Rating: 5 (5 reviews)
Author: Free N8N

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Automationaiautomationgithublangchainnlpollamaprompts

Fetches prompts from a GitHub repository, substitutes variables, and processes them with an AI agent.

About This Workflow

This workflow automates the retrieval of prompt templates from a GitHub repository. It then dynamically substitutes placeholders within the prompt text with variables defined in the workflow. Finally, the processed prompt is sent to an AI agent for further processing. The workflow includes robust error handling to ensure all necessary variables are present before execution.

Key Features

Fetches prompt files from a specified GitHub repository and path.
Dynamically substitutes variables within prompt templates.
Validates that all required variables are present before prompt execution.
Integrates with AI language models (Ollama and Langchain Agent) for prompt processing.
Provides clear error reporting for missing variables.

How To Use

Configure setVars Node: Define your GitHub repository details (owner, repo, path, prompt) and the variables to be substituted in your prompts (company, product, features, sector, etc.).
Connect to GitHub: Ensure your GitHub credentials are set up in the GitHub node.
Review Prompt Logic: The GitHub node fetches the prompt file. The Extract from File node reads its content. The SetPrompt node stores this content.
Variable Validation: The Check All Prompt Vars Present node identifies all placeholders (e.g., {{ company }}) in the prompt and checks if they exist as keys in the setVars node. The If node branches execution based on validation success.
Variable Substitution: If all variables are present, the replace variables node substitutes the placeholders with actual values. The Set Completed Prompt node prepares the final prompt for the AI.
AI Processing: The AI Agent node (or Ollama Chat Model) processes the completed prompt.
Output: The Prompt Output node stores the AI's response.

Apps Used

automation

github

langchain

nlp

ollama

prompts

Workflow JSON

{
  "id": "3f3a78bd-d17e-41d1-a68c-b6415fadf875",
  "name": "Dynamic Prompt Generation from GitHub with Language Model Integration",
  "nodes": 27,
  "category": "Automation",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.

Get This Workflow

ID: 3f3a78bd-d17e...

About the Author

Crypto_Watcher

Web3 Developer

Automated trading bots and blockchain monitoring workflows.

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Configure setVars Node: Define your GitHub repository details (owner, repo, path, prompt) and the variables to be substituted in your prompts (company, product, features, sector, etc.).
Connect to GitHub: Ensure your GitHub credentials are set up in the GitHub node.
Review Prompt Logic: The GitHub node fetches the prompt file. The Extract from File node reads its content. The SetPrompt node stores this content.
Variable Validation: The Check All Prompt Vars Present node identifies all placeholders (e.g., {{ company }}) in the prompt and checks if they exist as keys in the setVars node. The If node branches execution based on validation success.
Variable Substitution: If all variables are present, the replace variables node substitutes the placeholders with actual values. The Set Completed Prompt node prepares the final prompt for the AI.
AI Processing: The AI Agent node (or Ollama Chat Model) processes the completed prompt.
Output: The Prompt Output node stores the AI's response.

{ "id": "3f3a78bd-d17e-41d1-a68c-b6415fadf875", "name": "Dynamic Prompt Generation from GitHub with Language Model Integration", "nodes": 27, "category": "Automation", "status": "active", "version": "1.0.0" }