A curated collection of production-ready workflow examples demonstrating various use cases for Render Workflows. Each example is self-contained, deployment-ready, and showcases different patterns and capabilities.
These examples demonstrate how to build robust, scalable workflows using Render's Python SDK. All examples follow best practices for production deployments and include comprehensive documentation.
Important Notes:
- Python-only: Render Workflows are currently only supported in Python via
render-sdk - Service Type: All workflow services must be deployed as Workflow services on Render
| Example | Use Case | Key Patterns | Extra Dependencies |
|---|---|---|---|
| Hello World 👈 START HERE | Learn workflow basics with simple number processing | Task definition, subtask calling with await, basic orchestration |
None |
| ETL Job | Process CSV data with validation and statistics | Subtasks, sequential processing, batch operations, data validation | None |
| OpenAI Agent | AI customer support agent with tool calling | Tool calling, nested subtasks (3 levels deep), stateful workflows, dynamic orchestration | openai |
| File Processing | Batch process multiple file formats in parallel | Parallel execution with asyncio.gather(), multi-format handling, aggregation |
None |
| Data Pipeline | Multi-source customer analytics pipeline | Parallel extraction, data enrichment, combining parallel + sequential patterns | None |
| File Analyzer ⭐ | API service calling workflow tasks for file analysis | Client SDK + Task SDK, workflow slugs, service separation, FastAPI integration | fastapi, uvicorn |
The simplest possible workflow example - perfect for beginners!
Use Case: Learn workflow fundamentals through simple number processing operations.
Key Features:
- Ultra-simple task definitions
- Clear subtask calling examples
- Subtasks in loops demonstration
- Multi-step workflow orchestration
- Heavily commented code explaining every pattern
Learn: What is a task? What is a subtask? How to use await for subtask calls. The foundational patterns you need before anything else.
Why Start Here: If you're new to Render Workflows, this is your starting point. It teaches the core concepts with minimal complexity - no CSV files, no APIs, no databases. Just pure workflow patterns.
Complete Extract, Transform, Load pipeline for data processing.
Use Case: Process customer data from CSV files with validation, cleaning, and statistical analysis.
Key Features:
- CSV data extraction with retry logic
- Record validation and error tracking
- Batch processing with subtasks
- Statistical aggregation
- Comprehensive error handling
Learn: Basic workflow patterns, subtask execution, data validation
Intelligent conversational agent with tool calling capabilities.
Use Case: Customer support agent that can answer questions, look up orders, and process refunds.
Key Features:
- Multi-turn conversations with context
- Dynamic tool/function calling
- Stateful workflow management
- Integration with OpenAI GPT-4
- Extensible tool framework
Learn: AI integration, tool calling, stateful workflows, complex orchestration
Parallel file processing and analysis for multiple formats.
Use Case: Batch process files from storage, analyze content, generate consolidated reports.
Key Features:
- Multi-format support (CSV, JSON, text)
- Parallel file processing
- Automatic content analysis
- Report generation
- Format-specific insights
Learn: Parallel execution, I/O operations, multi-format handling, aggregation
View File Processing Example →
Comprehensive multi-source data pipeline with enrichment.
Use Case: Build customer analytics by combining data from user service, transaction service, and analytics platform.
Key Features:
- Multi-source parallel extraction
- Data enrichment with external APIs
- Complex transformations
- User segmentation
- Aggregate insights generation
Learn: Complex pipelines, parallel extraction, data enrichment, multi-stage workflows
CLIENT SDK + TASK SDK INTEGRATION - Complete example showing how to use both SDKs together.
Use Case: Build a file analysis API with separate workflow and API services. Upload CSV files via HTTP, process with workflow tasks, return insights.
Key Features:
- Two-Service Architecture: Workflow service (Task SDK) + API service (Client SDK)
- Workflow Slug Pattern: Learn how
{service-slug}/{task-name}routing works - Client SDK Usage: Complete examples of calling workflow tasks remotely
- File Analysis Pipeline: Parse → Statistics → Trends → Insights
- FastAPI Integration: HTTP endpoints that trigger workflow tasks
- Production Pattern: Separation of concerns (API gateway vs compute)
Learn: Client SDK usage, workflow slugs, service separation, calling tasks remotely, API integration
What's Unique: This is the only example that shows both Task SDK and Client SDK together. Perfect for understanding how to build APIs that call workflow tasks.