Skip to main content

Python SDK for the Fleeks AI Development Platform

Project description

Fleeks Logo

Fleeks Python SDK

Production-ready Python SDK for the Fleeks AI Development Platform

Python Version PyPI Version License GitHub Stars

Documentation | Website | API Reference


Fleeks is a revolutionary AI-powered development platform that provides instant polyglot workspaces with 11+ languages, AI agents, and complete development environments.

✨ Key Features

  • 🏃 Sub-Second Workspaces - Create complete dev environments in <200ms
  • 🌐 11+ Languages - Python, Node, Go, Rust, Java, Ruby, PHP, and more
  • 🤖 AI Agents - Code generation, debugging, testing, research
  • 📁 Full File System - Complete CRUD operations with safety features
  • 💻 Terminal Control - Sync/async command execution, background jobs
  • 📦 Container Management - Real-time stats, process control
  • 🔄 Real-time Streaming - WebSocket file watching and agent streaming
  • 🧩 Embeds - Shareable, embeddable code environments
  • ♻️ Lifecycle Management - Heartbeat, hibernate, keep-alive
  • Async/Await - Built for high performance
  • 🔐 Enterprise Security - API key auth with scopes

📦 Installation

pip install fleeks-sdk

For the best compatibility with API key metadata, usage stats, voice, and preview routes, use Fleeks backend 2026.05.13 or newer. The SDK includes fallbacks for older backends where possible.

🚀 Quick Start

import asyncio
from fleeks_sdk import FleeksClient

async def main():
    # Initialize client
    client = FleeksClient(api_key="fleeks_sk_your_key_here")
    
    # Create workspace with Python - includes instant preview URLs!
    workspace = await client.workspaces.create(
        project_id="my-project",
        template="python"
    )
    
    print(f"🌐 Preview URL: {workspace.preview_url}")
    print(f"🔌 WebSocket URL: {workspace.websocket_url}")
    
    # Create a web server
    await workspace.files.create(
        path="app.py",
        content="""
from flask import Flask
app = Flask(__name__)

@app.route('/')
def home():
    return 'Hello from Fleeks!'

if __name__ == '__main__':
    app.run(host='0.0.0.0', port=8080)
"""
    )
    
    # Install Flask and start server
    await workspace.terminal.execute("pip install flask")
    await workspace.terminal.execute("python app.py", background=True)
    
    # Get preview URL details
    preview = await workspace.get_preview_url()
    print(f"🚀 Your app is live at: {preview.preview_url}")
    
    # Use AI agent
    agent = await workspace.agents.execute(
        task="Add unit tests",
        agent_type="test"
    )
    await workspace.agents.wait_for_completion(agent.agent_id)
    
    # Cleanup
    await workspace.delete()

asyncio.run(main())

📖 Core Features

🌐 Preview URLs (NEW!)

Get instant HTTPS access to your workspace applications with zero configuration:

# Create workspace - preview URLs included automatically!
workspace = await client.workspaces.create("my-app", "python")

# Access preview URLs immediately
print(workspace.preview_url)     # https://preview.fleeks.ai/my-app/
print(workspace.websocket_url)   # wss://ws.fleeks.ai/my-app/

# Start your Flask/Express/React app
await workspace.terminal.execute("python app.py", background=True)

# Get detailed preview info
preview = await workspace.get_preview_url()
print(f"Status: {preview.status}")
print(f"Container: {preview.container_id}")

# Your app is now live at: https://preview.fleeks.ai/my-app/

Features:

  • ✅ Automatic HTTPS with SSL certificates
  • ✅ WebSocket support for real-time features
  • ✅ Global CDN distribution
  • ✅ Zero configuration required
  • ✅ Works with any framework (Flask, Express, React, Next.js, etc.)

Workspaces

# Create with specific languages
workspace = await client.workspaces.create(
    "my-app",
    template="python",
    pinned_versions={"python": "3.11", "node": "20"}
)

# Check health
health = await workspace.get_health()
print(f"Status: {health.status}, Uptime: {health.uptime_seconds}s")

Files

# Create, read, update, delete
await workspace.files.create("src/main.py", content="...")
content = await workspace.files.read("src/main.py")
await workspace.files.update("src/main.py", content="...")
await workspace.files.delete("src/main.py")

# Directories
await workspace.files.mkdir("src/utils")
listing = await workspace.files.list("/", recursive=True)

Terminal

# Sync execution
result = await workspace.terminal.execute("npm test")

# Background jobs
job = await workspace.terminal.start_background_job("npm run dev")
await workspace.terminal.wait_for_job(job.job_id)

AI Agents

# Execute agent task
agent = await workspace.agents.execute(
    task="Create REST API with auth",
    agent_type="code",
    context={"framework": "FastAPI"}
)

# Monitor progress
status = await workspace.agents.get_status(agent.agent_id)
print(f"Progress: {status.progress}%")

# Get results
output = await workspace.agents.get_output(agent.agent_id)
print(f"Files created: {len(output.files_created)}")

Embeds

Create shareable, embeddable code environments:

from fleeks_sdk import EmbedTemplate, EmbedTheme, EmbedLayoutPreset

# Create an embeddable React playground
embed = await client.embeds.create(
    name="My React Demo",
    template=EmbedTemplate.REACT,
    files={"src/App.js": "export default () => <h1>Hello!</h1>"},
    theme=EmbedTheme.DARK,
    layout_preset=EmbedLayoutPreset.SIDE_BY_SIDE,
    allowed_origins=["*"]
)

# Get embed code for your site
print(embed.iframe_html)      # Ready-to-use <iframe> HTML
print(embed.embed_url)         # https://embed.fleeks.ai/{id}
print(embed.markdown_embed)    # <FleeksEmbed id="{id}" />

# Monitor usage
analytics = await embed.get_analytics("30d")
print(f"Views: {analytics.total_views}, Sessions: {analytics.total_sessions}")

Lifecycle Management

Control container lifecycle with heartbeats, hibernation, and keep-alive:

from fleeks_sdk import LifecycleConfig, IdleAction

# Send heartbeat to prevent idle shutdown
heartbeat = await workspace.containers.heartbeat()

# Extend container timeout
await workspace.containers.extend_timeout(minutes=60)

# Check lifecycle status
status = await workspace.containers.get_lifecycle_status()
print(f"State: {status.state}, Timeout: {status.idle_timeout_minutes}min")

# Hibernate container (Pro+ tier) — saves state, resumes later
await workspace.containers.hibernate()
await workspace.containers.wake()

# Keep container alive indefinitely (Enterprise tier)
await workspace.containers.set_keep_alive(True)

# Use lifecycle presets
config = LifecycleConfig.development()    # 2hr timeout, hibernate on idle
config = LifecycleConfig.always_on()      # Never auto-shutdown
config = LifecycleConfig.agent_task()     # 2hr max, auto-shutdown

📚 Documentation

Running Tests

pytest

Code Formatting

black fleeks_sdk tests
isort fleeks_sdk tests

Type Checking

mypy fleeks_sdk

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.

Support

For support, email support@fleeks.com or create an issue on GitHub.

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

fleeks_sdk-0.7.1.tar.gz (80.5 kB view details)

Uploaded Source

Built Distribution

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

fleeks_sdk-0.7.1-py3-none-any.whl (84.4 kB view details)

Uploaded Python 3

File details

Details for the file fleeks_sdk-0.7.1.tar.gz.

File metadata

  • Download URL: fleeks_sdk-0.7.1.tar.gz
  • Upload date:
  • Size: 80.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for fleeks_sdk-0.7.1.tar.gz
Algorithm Hash digest
SHA256 98f242effdb8e05705f84e608e0c2fe3fa51cd94840820db38ed875ab7b08642
MD5 36b25775d0875cd330c10581c8f1282b
BLAKE2b-256 684ca1276cb416f33c89908bc9cea9b571e041fceb2ce55c8383c8127112162d

See more details on using hashes here.

File details

Details for the file fleeks_sdk-0.7.1-py3-none-any.whl.

File metadata

  • Download URL: fleeks_sdk-0.7.1-py3-none-any.whl
  • Upload date:
  • Size: 84.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for fleeks_sdk-0.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 086e978909c1e1b4f2e364b3580f99a7c57c4becd15ddbf1bf3e025a22237ec6
MD5 032cb2ca9041a5889251096386f59e88
BLAKE2b-256 027ac920af0a7870e62460cb6a577e3552ccfd91bce65e566efad20703a37a9b

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