Pipeline Generator
Pricing
from $50.00 / 1,000 pipeline generateds
Pipeline Generator
Generate Python data pipelines from plain English descriptions. Uses Groq & LLaMA-3 to output a fully functional, deployable DagPipe codebase (ZIP) instantly.
Pricing
from $50.00 / 1,000 pipeline generateds
Rating
0.0
(0)
Developer
Herbert Yeboah
Actor stats
0
Bookmarked
1
Total users
0
Monthly active users
an hour ago
Last modified
Categories
Share
DagPipe Generator — Crash-Proof LLM Pipelines
Turn plain-English descriptions into robust, crash-proof LLM orchestration pipelines using the open-source DagPipe framework.
🚀 Overview
Building multi-step LLM workflows that involve crawling, scraping, summarizing, or transforming data is often fragile. A single failure mid-run means starting over and wasting tokens. DagPipe solves this by turning workflows into a resilient Directed Acyclic Graph (DAG) with:
- JSON Checkpointing: Resume exactly from the last successful node if anything fails.
- Cognitive Routing: Automatically route easy tasks to free/cheap models (like Llama 3 8B) and complex tasks to large models (like Llama 3 70B).
- Schema Enforcement: Guaranteed structured JSON output with automatic retry loops and error feedback.
This actor takes your plain-English goal and generates a complete, ready-to-run Python script (runner.py) using the DagPipe library.
💡 How It Works
- Provide a Description: Tell the actor what you want your pipeline to do. (e.g., "Read a tech blog post, extract key points into a JSON schema, use an LLM to translate it to Spanish, and then save it to disk.")
- Add Your Groq API Key: You need a free Groq API key to power the Llama 3 models that will design your pipeline.
- Download Your Code: The actor mathematically designs the DAG, structures the nodes, and packages everything into a convenient ZIP archive.
📦 What's Included in the Output
The actor outputs the path to a generated .zip file stored in Apify's Key-Value store. Inside the zip, you will find:
runner.py: The executable pipeline script.pipeline.yaml: The DAG structure and logic.requirements.txt: Python dependencies needed to run it locally.README.md: Instructions on how to execute your new pipeline.
💸 Pay-Per-Event Pricing
This actor uses a straightforward Pay-Per-Event (PPE) model. It costs exactly $0.05 per successful run. You only pay for successful pipeline generations that result in a downloadable zip file.
🔧 Input Configuration
| Field | Type | Description | Required |
|---|---|---|---|
description | string | A plain English explanation of your desired pipeline. | Yes |
groq_api_key | string | Your Groq API key for powering the pipeline design generation. | Yes |
🌟 Example Usage
Input:
The resulting zip file will scaffold the entire workflow with error handling and retries built-in!
