veadk-python  by volcengine

AI agent development kit

Created 6 months ago
274 stars

Top 94.6% on SourcePulse

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Project Summary

Volcengine Agent Development Kit (VeADK) is an open-source Python library designed to streamline the development of AI agents by integrating Volcengine's powerful backend capabilities. It targets developers seeking to build and deploy agents efficiently, offering a structured framework and convenient tools for leveraging cloud-based AI services.

How It Works

VeADK provides a Pythonic interface for agent creation, abstracting complex API interactions with Volcengine services. Configuration is managed via a config.yaml file, allowing developers to specify model providers (e.g., OpenAI-compatible endpoints), API bases, and keys for services like Volcengine ARK. The framework facilitates agent instantiation and execution through straightforward Python code, simplifying the integration of large language models into agentic workflows.

Quick Start & Requirements

  • Installation: Install via pip: pip install veadk-python. For additional features, use pip install veadk-python[extensions].
  • Build from Source: Requires Python 3.12 and uv. Clone the repository, create a virtual environment (uv venv --python 3.12), and sync dependencies (uv sync --all-extras). An editable install is available via uv pip install -e ..
  • Prerequisites: Python 3.12.
  • Configuration: A config.yaml file in the project root is recommended for setting up model parameters and API keys.
  • Documentation: Links to official documents and a tutorial available via Jupyter Notebook or Google Colab are mentioned.

Highlighted Details

  • Command-line Interface (CLI): Includes tools like veadk deploy for deploying agents to Volcengine VeFaaS and veadk prompt for optimizing system prompts using PromptPilot.
  • Volcengine Integration: Leverages Volcengine's ARK API for model inference, providing access to powerful cloud-based AI models.

Maintenance & Community

  • Contribution: Requires setting up the pre-commit linter and passing unit tests (pytest -n 16) before submitting pull requests.
  • Community: A discussion group is available via a QR code mentioned in the README.

Licensing & Compatibility

Licensed under the Apache 2.0 License. This license is generally permissive for commercial use and integration into closed-source projects.

Limitations & Caveats

The provided README does not explicitly detail project limitations, known bugs, or alpha/beta status.

Health Check
Last Commit

2 days ago

Responsiveness

Inactive

Pull Requests (30d)
51
Issues (30d)
3
Star History
17 stars in the last 30 days

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