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richardadonnell
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trigger-agents

Develop AI agents with Trigger.dev durable execution and AI SDK.

45|20|Updated Aug 31, 2024
Search Tags:#parallel processing#workflow automation#llm#ai agents#orchestration#trigger.dev
One-click install
npx skills add https://github.com/richardadonnell/Upwork-Job-Scraper --skill trigger-agents
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: trigger-agents
Source: https://github.com/richardadonnell/Upwork-Job-Scraper/tree/main/.agents/skills/trigger-agents
Command: npx skills add https://github.com/richardadonnell/Upwork-Job-Scraper --skill trigger-agents

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides robust patterns and tools for building sophisticated, production-ready AI agents that require complex orchestration, parallel processing, dynamic routing, and human oversight.

Core Features & Use Cases

  • Orchestration: Coordinate multiple specialized AI tasks in sequential or parallel workflows.
  • Parallelization: Process multiple items or tasks concurrently for faster execution.
  • Routing: Dynamically direct AI requests to different models or handlers based on classification.
  • Human-in-the-Loop: Integrate approval gates and human feedback into agent workflows.
  • Use Case: Build an agent that researches a topic by performing web searches in parallel, then summarizes the findings, and finally sends the summary for human approval before publishing.

Quick Start

Use the trigger-agents skill to orchestrate a series of AI tasks, processing items in parallel and routing them to different handlers based on their content.

Frequently Asked Questions about trigger-agents

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build AI agents with durable execution and parallel processing?▼

To build AI agents with durable execution and parallel processing, use Trigger.dev to orchestrate multiple specialized tasks concurrently. This framework supports complex patterns like routing and parallelization, ensuring reliable LLM-powered workflows.

Can I add human-in-the-loop approval gates to an LLM workflow?▼

Yes, you can add human-in-the-loop approval gates to an LLM workflow using Trigger.dev. It allows you to integrate human feedback and approval checkpoints directly into your AI agent workflows before final execution.

What is dynamic routing for AI agents and when is it needed?▼

Dynamic routing for AI agents is the process of directing requests to different models or handlers based on content classification. It is needed when your workflow requires specialized handling for varying input types.

Does Trigger.dev work with AI SDK for tool calling and real-time streaming?▼

Yes, Trigger.dev works with AI SDK to enable tool calling and real-time streaming within your agent workflows. This integration allows you to build advanced LLM-powered tasks with live data processing.

What is the best way to orchestrate multiple AI tasks in a workflow?▼

The best way to orchestrate multiple AI tasks in a workflow is using a durable execution framework like Trigger.dev. It coordinates specialized tasks sequentially or in parallel, supporting complex patterns like evaluator-optimizer loops.

Do I need specialized frameworks to run evaluator-optimizer loops for LLM tasks?▼

You need a durable execution framework like Trigger.dev to run evaluator-optimizer loops for LLM tasks. This approach supports complex orchestration, ensuring reliable execution and evaluation cycles for your AI agents.

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