Build an agent with structured input and output, perfect for background jobs, data processing pipelines, and automation tasks.
What's included
- Typed input/output — Pydantic models for request and response validation
- Background execution — designed for async processing
- Python setup — with the Reminix Python SDK
- Ready to deploy — push to GitHub and Reminix builds automatically
When to use this
Pick the Task template when you want to:
- Process structured data with validated inputs
- Build background job handlers
- Create agents that integrate into larger pipelines
Project structure
├── src/
│ ├── main.py # Agent entry point
│ └── task.py # Task handler with input/output models
├── requirements.txt
└── reminix.config.py # Reminix configuration
Quick start
After deploying, trigger a task via the Reminix API:
curl -X POST https://api.reminix.com/v1/agents/{agent-id}/run \
-H "Authorization: Bearer $REMINIX_API_KEY" \
-d '{"input": {"text": "Summarize this document...", "format": "bullet-points"}}'