nextflow-io/nf-nim

Experimental NVIDIA NIMs plugin

Nextflow NIM Plugin

A Nextflow plugin for integrating NVIDIA NIMs (NVIDIA Inference Microservices) as custom executors for bioinformatics workflows.

Overview

This plugin provides a generic nim executor that can run NVIDIA NIM services for biological computing, specifically:

• RFDiffusion - Protein structure generation and design

Installation

Add the plugin to your nextflow.config:

plugins {
    id 'nf-nim'
}

Or use it directly in your pipeline script:

plugins {
    id 'nf-nim@0.1.0'
}

Configuration

Authentication

The plugin supports multiple authentication methods with flexible configuration options:

Method 1: Environment Variable (Traditional)

export NVCF_RUN_KEY="your-nvidia-api-key-here"

Method 2: Global Configuration

nim {
    apiKey = 'your-api-key-here'
}

Method 3: Service-Specific Configuration

nim {
    rfdiffusion {
        apiKey = 'service-specific-key'
    }
}

API keys are resolved in priority order: service-specific → global config → environment variable. See the Authentication Guide for detailed setup instructions.

Default Endpoints

• RFDiffusion: https://health.api.nvidia.com/v1/biology/ipd/rfdiffusion/generate

Custom Endpoints

You can configure custom NIM endpoints in your nextflow.config:

nim {
    rfdiffusion {
        endpoint = 'http://your-nim-server:8080/biology/ipd/rfdiffusion/generate'
        apiKey = 'custom-endpoint-key'  // Optional: service-specific key
    }
}

For complete configuration options, see the Configuration Guide.

Usage

Basic Process Configuration

Use the nim executor in your processes and specify which NIM service to use with task.ext.nim:

process myNIMProcess {
    executor 'nim'
    
    input:
    // your inputs
    
    output:
    // your outputs
    
    script:
    task.ext.nim = "rfdiffusion"
    
    """
    # Your script here - the NIM executor handles the actual API calls
    echo "Running ${task.ext.nim} analysis"
    """
}

RFDiffusion Example

process rfdiffusionDesign {
    executor 'nim'
    
    input:
    path pdb_file
    
    output:
    path "output.pdb"

    script:
    task.ext.nim = "rfdiffusion"
    
    """
    echo "Designing protein structure using RFDiffusion"
    """
}

Parameters for RFDiffusion can be set in params:

params.contigs = "A20-60/0 50-100"
params.hotspot_res = ["A50","A51","A52","A53","A54"] 
params.diffusion_steps = 15

Complete Workflow Example

#!/usr/bin/env nextflow

params.pdb_file = "input.pdb"

workflow {
    // Structure-based design with RFDiffusion
    if (params.pdb_file) {
        designProtein(file(params.pdb_file))
    }
}

process designProtein {
    executor 'nim'
    
    input:
    path pdb_file
    
    output:
    path "designed.pdb"

    script:
    task.ext.nim = "rfdiffusion"
    """
    echo "Designing protein based on ${pdb_file}"
    """
}

Input Requirements

RFDiffusion

• Input: PDB file containing protein structure
• Parameters:
  • params.contigs - Contigs specification (default: "A20-60/0 50-100")
  • params.hotspot_res - Hotspot residues (default: ["A50","A51","A52","A53","A54"])
  • params.diffusion_steps - Number of diffusion steps (default: 15)

Health Checks

Test NIM service availability:

# RFDiffusion
curl -v -H "Authorization: Bearer $NVCF_RUN_KEY" \
  https://health.api.nvidia.com/v1/biology/ipd/rfdiffusion/generate

Example RFDiffusion Test

You can test the RFDiffusion endpoint with a sample PDB structure:

# Download a sample PDB file and test the API
curl -s https://files.rcsb.org/download/1R42.pdb | \
  grep '^ATOM' | head -n 400 | \
  awk '{printf "%s\\n", $0}' > sample_pdb.txt

# Test the API call
curl -X POST \
  -H "Authorization: Bearer $NVCF_RUN_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input_pdb": "'$(cat sample_pdb.txt | sed 's/\\n/\n/g')'",
    "contigs": "A20-60/0 50-100",
    "hotspot_res": ["A50", "A51", "A52", "A53", "A54"],
    "diffusion_steps": 15
  }' \
  https://health.api.nvidia.com/v1/biology/ipd/rfdiffusion/generate

Architecture

Plugin Components

The NIM plugin consists of several key components:

• NIMExecutor - Main executor that manages NIM API endpoints and creates task handlers
• NIMTaskHandler - Handles individual task execution, including PDB processing and API communication
• NIMIntegrationTest - End-to-end integration tests that validate real API functionality

Task Handler Design

The NIMTaskHandler uses a modular approach that separates concerns:

1. PDB Data Processing - Downloads and processes PDB files from RCSB
2. API Communication - Makes HTTP requests to NVIDIA NIM endpoints
3. Result Handling - Processes API responses and saves results

For programmatic use, you can:

// Set PDB data directly (recommended for testing)
handler.setPdbData(pdbData)
handler.submit()

// Or use legacy method (downloads PDB automatically)
handler.submit()  // Downloads PDB from RCSB if no data is set

Testing Architecture

The test suite follows a 3-step integration testing pattern:

1. Download PDB file - Using test utility methods
2. Pass data to TaskHandler - Via setPdbData() method
3. Verify API completion - Check response and result files

This separation allows for:

• Unit testing - Mock components independently
• Integration testing - Test with real API endpoints
• Isolated testing - Test individual components without external dependencies

Development

Building

make assemble

Testing

The test suite includes multiple levels of testing:

# Run all tests
make test

# Run specific test classes
./gradlew test --tests "*NIMExecutorTest*"
./gradlew test --tests "*NIMTaskHandlerTest*"
./gradlew test --tests "*NIMIntegrationTest*"

Test Requirements

• Unit tests - No external dependencies required
• Integration tests - Require NVCF_RUN_KEY environment variable for real API testing

Test Structure

• NIMExecutorTest - Tests executor initialization and configuration
• NIMTaskHandlerTest - Tests task handler lifecycle and error handling
• NIMIntegrationTest - End-to-end tests with real NVIDIA API calls

Installing Locally

make install

Contributing

When contributing to the plugin:

1. Separate concerns - Keep PDB processing, API calls, and result handling modular
2. Test thoroughly - Add unit tests for new functionality
3. Document changes - Update README and inline documentation
4. Follow patterns - Use the established 3-step testing pattern for integration tests

License

This project is licensed under the Apache License 2.0 - see the COPYING file for details.

Documentation

For detailed information, see the comprehensive documentation in the docs/ directory:

• Installation Guide - Setup and installation instructions
• Configuration Guide - Configuration options and examples
• Authentication Guide - Authentication methods and security
• Usage Guide - Usage patterns and best practices
• Examples Guide - Comprehensive workflow examples
• Troubleshooting Guide - Common issues and solutions
• API Reference - Complete API documentation

Contributing

Contributions are welcome! Please see the development guidelines in the source code for more information.