Skip to main content

Seqera AI CLI – terminal assistant for Nextflow, bioinformatics, and workflow management

Project description

Seqera

Seqera AI CLI

AI-powered assistant for bioinformatics workflows and Seqera Platform.

⚠️ Beta Release: Seqera AI CLI is currently in beta. Features and commands may change as we continue to improve the product.

💡 Free Credits: Seqera Cloud users receive $20 in free credits to get started with Seqera AI. Contact us for additional credits.

Seqera AI CLI is an intelligent command-line assistant that helps you build, run, and manage bioinformatics workflows. Powered by advanced AI, it provides an interactive terminal experience for working with Nextflow pipelines and Seqera Platform.

Seqera AI has access to:

  • Your Seqera Platform workspace: View and manage workflows, pipelines, and data through your authenticated account
  • Your local environment: Execute commands and edit files in your working directory (with configurable approval controls)
  • AI capabilities: Natural language understanding, code generation, and intelligent suggestions

Installation

pip install seqera

Quick Start

# Authenticate with Seqera Platform
seqera login

# Start the AI assistant
seqera ai

Features

Natural language interface

Interact with Seqera Platform using plain English. Ask questions, launch workflows, and manage pipelines through conversational commands.

Workflow management

Launch, monitor, and debug Nextflow workflows directly from your terminal. Get real-time status updates, view logs, and analyze run metrics.

Pipeline development

Generate Nextflow configurations, create pipeline schemas, and convert scripts from other workflow languages (WDL, Snakemake) to Nextflow.

nf-core integration

Search and discover nf-core modules, get detailed execution information, and access ready-to-run Nextflow commands for over 1,000 standardized bioinformatics tools.

Data management

Browse cloud storage through data links, manage datasets, generate download and upload URLs, and access reference genomes and sequencing data.

Wave containers

Build containerized environments on-the-fly with conda packages, pip packages, or custom Docker images. Create reproducible containers for your bioinformatics tools without writing Dockerfiles.

Local file operations

Edit files, run commands, and manage your local development environment with AI assistance and configurable approval modes.

Seqera Platform integration

Full access to Platform capabilities including compute environments, datasets, data links, and workspace management.

Usage

# Interactive mode (default)
seqera ai

# Single query mode
seqera ai "List my running workflows"

# With working directory
seqera ai -w /path/to/pipeline

# Show help
seqera --help
seqera ai --help

Command approval modes

Control which commands run automatically with the --approval-mode flag:

Mode Behavior
basic Only safe-list commands run automatically; everything else prompts for approval
default Safe-list commands and file edits within workdir run automatically; dangerous commands prompt
full Everything runs automatically unless on the dangerous list
# Start with full approval mode
seqera ai --approval-mode full

# Change mode during session
/approval full

Built-in commands

/                           Show available commands
/approval                   Show or set local approval mode
/schema                     Generate Nextflow schema
/debug                      Run pipeline diagnostics
/migrate-from-wdl           Migrate from WDL to Nextflow
/migrate-from-snakemake     Migrate from Snakemake to Nextflow
/write-nf-test              Write nf-tests for untested code
/debug-last-run             Debug last local run
/debug-last-run-on-seqera   Debug last Seqera Platform run

Authentication

# Browser-based login (recommended)
seqera login

# Check authentication status
seqera status

# Log out
seqera logout

Requirements

  • Python 3.13 or later
  • Seqera Platform account

Documentation

For detailed documentation, visit seqera.io/docs.

Support

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

seqera-0.2.11.tar.gz (98.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

seqera-0.2.11-py3-none-any.whl (54.6 kB view details)

Uploaded Python 3

File details

Details for the file seqera-0.2.11.tar.gz.

File metadata

  • Download URL: seqera-0.2.11.tar.gz
  • Upload date:
  • Size: 98.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for seqera-0.2.11.tar.gz
Algorithm Hash digest
SHA256 4008b2ab7b279fdc2c8cd289253b1de57675f9027f4f5d0c9c0e87bd0b847e67
MD5 f3b62032dad3aa3f2f86dd1b15f87790
BLAKE2b-256 7f7b63cc16f283022434e75e99c076687ed8395550738fb549373b3d701a4ae8

See more details on using hashes here.

File details

Details for the file seqera-0.2.11-py3-none-any.whl.

File metadata

  • Download URL: seqera-0.2.11-py3-none-any.whl
  • Upload date:
  • Size: 54.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for seqera-0.2.11-py3-none-any.whl
Algorithm Hash digest
SHA256 49cf4fbb8515ba351c157de0c5d95dc3195bd53f0d3bc9417b2cf01c8a558c8f
MD5 43532e0974b44de49ef39b13308628b7
BLAKE2b-256 7b5b7247e385363b5163ef4e25e3147a96c2c1dc1e44402ea7bdf666f572e680

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page