
sdk python
用于将代理或工具连接到 Blaxel 平台的 Python SDK。
Repository Info
About This Server
用于将代理或工具连接到 Blaxel 平台的 Python SDK。
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
Python SDK
Blaxel is a computing platform for AI agent builders, with all the services and infrastructure to build and deploy agents efficiently. This repository contains the Python SDK to create and manage resources on Blaxel.
Table of Contents
- Installation
- Authentication
- Features
- Quickstart
- Contributing
- License
Installation
Install Blaxel SDK which lets you manage Blaxel resources.
# Base package (core functionality)
pip install blaxel
# With specific modules
pip install "blaxel[telemetry]"
pip install "blaxel[core,telemetry,crewai]"
# Everything
pip install "blaxel[all]"
Available modules
blaxel.core- Core functionality (always available)blaxel.telemetry- Telemetry and monitoringblaxel.crewai- CrewAI integrationblaxel.openai- OpenAI integrationblaxel.langgraph- LangGraph integrationblaxel.livekit- LiveKit integrationblaxel.llamaindex- LlamaIndex integrationblaxel.pydantic- Pydantic AI integrationblaxel.googleadk- Google ADK integration
Authentication
The Blaxel SDK authenticates with your workspace using credentials from these sources, in priority order:
- When running on Blaxel, authentication is handled automatically
- Variables in your .env file (
BL_WORKSPACEandBL_API_KEY, or see this page for other authentication options). - Environment variables from your machine
- Configuration file created locally when you log in through Blaxel CLI (or deploy on Blaxel)
When developing locally, the recommended method is to just log in to your workspace with Blaxel CLI. This allows you to run Blaxel SDK functions that will automatically connect to your workspace without additional setup. When you deploy on Blaxel, this connection persists automatically.
When running Blaxel SDK from a remote server that is not Blaxel-hosted, we recommend using environment variables as described in the third option above.
Features
- Agents & MCP servers
- Create MCP servers
- Connect to MCP servers and model APIs hosted on Blaxel
- Call agents from another agent
- Deploy on Blaxel
- Sandboxes
- Create and update sandboxes and sandbox previews
- Run filesystem operations and processes on a sandbox
- Use environment variables or secrets
Quickstart
Blaxel CLI gives you a quick way to create new applications: agents, MCP servers, jobs, etc - and deploy them to Blaxel.
Prerequisites:
- Node.js: v18 or later.
- Blaxel CLI: Make sure you have Blaxel CLI installed. If not, install it:
curl -fsSL \ https://raw.githubusercontent.com/blaxel-ai/toolkit/main/install.sh \ | BINDIR=/usr/local/bin sudo -E sh - Blaxel login: Login to Blaxel:
bl login YOUR-WORKSPACE
bl create-agent-app myfolder
cd myfolder
bl deploy
Also available:
bl create-mcp-serverbl create-job
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Quick Start
Clone the repository
git clone https://github.com/beamlit/sdk-pythonInstall dependencies
cd sdk-python
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
Recommended MCP Servers
Discord MCP
Enable AI assistants to seamlessly interact with Discord servers, channels, and messages.
Knit MCP
Connect AI agents to 200+ SaaS applications and automate workflows.
Apify MCP Server
Deploy and interact with Apify actors for web scraping and data extraction.
BrowserStack MCP
BrowserStack MCP Server for automated testing across multiple browsers.
Zapier MCP
A Zapier server that provides automation capabilities for various apps.