The AI Pipeline Agent template enables you to create sophisticated multi-step AI workflows that can handle complex business processes. By connecting multiple AI models, tools, and data sources in a sequential pipeline, you can automate processes that require several stages of analysis, transformation, or decision-making.

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Template Overview

This template provides the foundation for building AI pipelines:
  • Modular pipeline architecture
  • Step-by-step workflow configuration
  • Input/output management between steps
  • Error handling and retry mechanisms
  • Execution monitoring and logging

Sequential Processing

Chain multiple AI operations in logical order

Conditional Branching

Create different paths based on AI analysis results

Data Transformation

Process and restructure information between steps

Human-in-the-Loop

Include approval checkpoints where needed

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Use Cases

Create pipelines for content workflows:
  • Document classification and routing
  • Content moderation and compliance
  • Multi-stage translation and localization
  • Automated content summarization and metadata extraction

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Key Features

  • Visual Pipeline Builder: Configure workflows through an intuitive interface
  • Diverse Step Types: LLM operations, tool executions, data transformations, and conditionals
  • State Management: Maintain context throughout the pipeline execution
  • Parallel Processing: Run independent steps concurrently for better performance
  • Execution History: Track and analyze pipeline runs and outcomes

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Getting Started

For self-hosted Prisme.ai installations, follow these steps:
1

Download the Template

Access the Prisme.ai Templates Repository and download the ZIP file
2

Import the Template

In your Prisme.ai instance, navigate to AI Builder > Import Workspace and upload the ZIP file
3

Define Your Pipeline

Configure the sequential steps in your AI processing workflow
4

Connect Data Sources

Link to relevant knowledge bases, APIs, or data sources
5

Test and Deploy

Validate the pipeline with sample data and deploy as an agent or API endpoint
SaaS Prisme.ai users can access this template directly from the Template Gallery.

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Performance Optimization

  • Step Caching: Cache results of expensive operations to improve performance
  • Concurrency Control: Adjust parallel execution based on available resources
  • Timeout Management: Set appropriate timeouts for each pipeline step
  • Error Recovery: Configure retry strategies for transient failures

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Next Steps

After implementing this template, you can: