The Agents API of Upstash Workflow enables you to:
  • Execute an individual agent or facilitate collaboration among multiple agents.
  • Integrate any tool compatible with AI SDK or LangChain.
  • Reliably invoke agents without concerns about timeouts or transient errors.
  • Unlike mainstream agent frameworks, we prioritize debuggability and extensibility.
To get started, you can refer to the Getting Started page. For more details about the features, you can refer to the Features page.
This feature is not yet available in workflow-py. See our Roadmap for feature parity plans and Changelog for updates.

​
Agent Patterns

If you’re interested, you can also explore our rich examples that showcase how various patterns can be built using the Agents API:

Prompt Chaining

Sequential LLM calls where each output becomes the input for the next, enabling structured reasoning and step-by-step task completion.

Evaluator-optimizer

A feedback loop where LLM outputs are evaluated and refined iteratively to improve accuracy and relevance.

Parallelization

Distribute tasks across multiple LLMs and aggregate the results for efficient handling of complex or large-scale operations.

Orchestrator-workers

A central orchestrator directs multiple worker LLMs to complete subtasks and synthesize their outputs for complex operations.

​
Real World Examples

Practical implementations demonstrating how to use our Agents API in production scenarios. These examples provide ready-to-use templates for common use cases.

Browser Automation

Autonomous web navigation and interaction system for content extraction and form handling.

Email Analyzer

Intelligent email processing system for content analysis, classification, and automated responses.

Social Media Manager

Multi-platform social media management system for content moderation and engagement automation.