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---
title: Parallel
---
import { Callout } from 'fumadocs-ui/components/callout'
import { Tab, Tabs } from 'fumadocs-ui/components/tabs'
import { Image } from '@/components/ui/image'
The Parallel block is a container that executes multiple instances concurrently for faster workflow processing. Process items simultaneously instead of sequentially.
<Callout type="info">
Parallel blocks are container nodes that execute their contents multiple times simultaneously, unlike loops which execute sequentially.
</Callout>
## Configuration Options
### Parallel Type
Choose between two types of parallel execution:
<Tabs items={['Count-based', 'Collection-based']}>
<Tab>
**Count-based Parallel** - Execute a fixed number of parallel instances:
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<Image
src="/static/blocks/parallel-1.png"
alt="Count-based parallel execution"
width={500}
height={400}
className="my-6"
/>
</div>
Use this when you need to run the same operation multiple times concurrently.
```
Example: Run 5 parallel instances
- Instance 1 ┐
- Instance 2 ├─ All execute simultaneously
- Instance 3 │
- Instance 4 │
- Instance 5 ┘
```
</Tab>
<Tab>
**Collection-based Parallel** - Distribute a collection across parallel instances:
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<Image
src="/static/blocks/parallel-2.png"
alt="Collection-based parallel execution"
width={500}
height={400}
className="my-6"
/>
</div>
Each instance processes one item from the collection simultaneously.
```
Example: Process ["task1", "task2", "task3"] in parallel
- Instance 1: Process "task1" ┐
- Instance 2: Process "task2" ├─ All execute simultaneously
- Instance 3: Process "task3" ┘
```
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</Tabs>
## How to Use Parallel Blocks
### Creating a Parallel Block
1. Drag a Parallel block from the toolbar onto your canvas
2. Configure the parallel type and parameters
3. Drag a single block inside the parallel container
4. Connect the block as needed
### Referencing Parallel Data
There's an important distinction between referencing parallel data from **inside** vs **outside** the parallel block:
<Tabs items={['Inside the Parallel', 'Outside the Parallel']}>
<Tab>
**Inside the parallel**, use `<parallel.>` references to access the current instance context:
- **`<parallel.index>`**: Current instance number (0-based)
- **`<parallel.currentItem>`**: Item for this instance (collection-based only)
- **`<parallel.items>`**: Full collection being distributed (collection-based only)
```
// Inside a Function block within the parallel
const idx = <parallel.index>; // 0, 1, 2, ...
const item = <parallel.currentItem>; // This instance's item
```
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These references are only available for blocks **inside** the parallel container. They give you access to the current instance's context.
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</Tab>
<Tab>
**Outside the parallel** (after it completes), reference the parallel block by its name to access aggregated results:
- **`<ParallelBlockName.results>`**: Array of results from all instances
```
// If your parallel block is named "Process Tasks"
const allResults = <processtasks.results>;
// Returns: [result1, result2, result3, ...]
```
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After the parallel completes, use the parallel's block name (not `parallel.`) to access the collected results. The block name is normalized (lowercase, no spaces).
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## Example Use Cases
**Batch API Processing** - Process multiple API calls simultaneously
```
Parallel (Collection) → API (Call Endpoint) → Function (Aggregate)
```
**Multi-Model AI Processing** - Get responses from multiple AI models concurrently
```
Parallel (["gpt-4o", "claude-3.7-sonnet", "gemini-2.5-pro"]) → Agent → Evaluator (Select Best)
```
## Advanced Features
### Result Aggregation
Results from all parallel instances are automatically collected and accessible via the block name:
```javascript
// In a Function block after a parallel named "Process Tasks"
const allResults = <processtasks.results>;
// Returns: [result1, result2, result3, ...]
```
### Instance Isolation
Each parallel instance runs independently:
- Separate variable scopes
- No shared state between instances
- Failures in one instance don't affect others
### Limitations
<Callout type="warning">
Container blocks (Loops and Parallels) cannot be nested inside each other. This means:
- You cannot place a Loop block inside a Parallel block
- You cannot place another Parallel block inside a Parallel block
- You cannot place any container block inside another container block
</Callout>
<Callout type="info">
While parallel execution is faster, be mindful of:
- API rate limits when making concurrent requests
- Memory usage with large datasets
- Maximum of 20 concurrent instances to prevent resource exhaustion
</Callout>
## Parallel vs Loop
Understanding when to use each:
| Feature | Parallel | Loop |
|---------|----------|------|
| Execution | Concurrent | Sequential |
| Speed | Faster for independent operations | Slower but ordered |
| Order | No guaranteed order | Maintains order |
| Use case | Independent operations | Dependent operations |
| Resource usage | Higher | Lower |
## Inputs and Outputs
<Tabs items={['Configuration', 'Variables', 'Results']}>
<Tab>
<ul className="list-disc space-y-2 pl-6">
<li>
<strong>Parallel Type</strong>: Choose between 'count' or 'collection'
</li>
<li>
<strong>Count</strong>: Number of instances to run (count-based)
</li>
<li>
<strong>Collection</strong>: Array or object to distribute (collection-based)
</li>
</ul>
</Tab>
<Tab>
Available **inside** the parallel only:
<ul className="list-disc space-y-2 pl-6">
<li>
<strong>{"<parallel.index>"}</strong>: Instance number (0-based)
</li>
<li>
<strong>{"<parallel.currentItem>"}</strong>: Item for this instance (collection-based only)
</li>
<li>
<strong>{"<parallel.items>"}</strong>: Full collection (collection-based only)
</li>
</ul>
</Tab>
<Tab>
<ul className="list-disc space-y-2 pl-6">
<li>
<strong>{"<blockname.results>"}</strong>: Array of all instance results (accessed via block name)
</li>
<li>
<strong>Access</strong>: Available in blocks after the parallel completes
</li>
</ul>
</Tab>
</Tabs>
## Best Practices
- **Independent operations only**: Ensure operations don't depend on each other
- **Handle rate limits**: Add delays or throttling for API-heavy workflows
- **Error handling**: Each instance should handle its own errors gracefully