Skip to main content

An open-source, domain-agnostic, capability-based architecture for building intelligent agents

Project description

Osprey Framework

🎉 Latest Release: v0.9.3 - LLM API Call Logging & E2E Testing

🚧 Early Access Release This is an early access version of the Osprey Framework. While the core functionality is stable and ready for experimentation, documentation and APIs may still evolve. We welcome feedback and contributions!

An open-source, domain-agnostic, capability-based architecture for building intelligent agents that can be adapted to any specific domain.

📄 Research This work was presented as a contributed oral presentation at ICALEPCS'25 and will be featured at the Machine Learning and the Physical Sciences Workshop at NeurIPS 2025.

🚀 Quick Start

# Install the framework
pip install osprey-framework

# Recommended: Interactive setup (guides you through everything!)
osprey

# The interactive menu will:
# - Help you choose a template with descriptions
# - Guide you through AI provider and model selection
# - Automatically detect and configure API keys from your environment
# - Create a ready-to-use project with smart defaults

# Alternative: Direct command if you know what you want
osprey init my-weather-agent --template hello_world_weather
cd my-weather-agent
# If API keys aren't in your environment, copy and edit .env:
# cp .env.example .env

# Start the command line chat interface
osprey chat

📚 Documentation

📖 Read the Full Documentation →

Key Features

  • Scalable Capability Management - Efficiently scales to large sets of specialized agents
  • Structured Orchestration - Converts freeform inputs into clear, executable plans
  • Modular Architecture - Easily integrates new capabilities without disrupting workflows
  • Human-in-the-Loop Ready - Transparent execution plans for inspection and debugging
  • Domain-Adaptable - Designed for heterogeneous scientific infrastructure

📖 Citation

If you use the Alpha Berkeley Framework in your research or projects, please cite our paper:

@misc{hellert2025osprey,
      title={Osprey: A Scalable Framework for the Orchestration of Agentic Systems},
      author={Thorsten Hellert and João Montenegro and Antonin Sulc},
      year={2025},
      eprint={2508.15066},
      archivePrefix={arXiv},
      primaryClass={cs.MA},
      url={https://arxiv.org/abs/2508.15066},
}

For detailed installation instructions, tutorials, and API reference, please visit our complete documentation.


Copyright Notice

Osprey Framework Copyright (c) 2025, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy). All rights reserved.

If you have questions about your rights to use or distribute this software, please contact Berkeley Lab's Intellectual Property Office at IPO@lbl.gov.

NOTICE. This Software was developed under funding from the U.S. Department of Energy and the U.S. Government consequently retains certain rights. As such, the U.S. Government has been granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the Software to reproduce, distribute copies to the public, prepare derivative works, and perform publicly and display publicly, and to permit others to do so.


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

osprey_framework-0.9.3.tar.gz (1.6 MB view details)

Uploaded Source

Built Distribution

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

osprey_framework-0.9.3-py3-none-any.whl (1.8 MB view details)

Uploaded Python 3

File details

Details for the file osprey_framework-0.9.3.tar.gz.

File metadata

  • Download URL: osprey_framework-0.9.3.tar.gz
  • Upload date:
  • Size: 1.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.2

File hashes

Hashes for osprey_framework-0.9.3.tar.gz
Algorithm Hash digest
SHA256 1a401e1ae54b5b944312e0f4700996648cf4d314587947175574073f842f1915
MD5 eedda039a95005d4d77d4c0940fe2503
BLAKE2b-256 683d531fcabe548b136d7d23369394e3d2fc9182bf4c20508c36c20b11ece1f0

See more details on using hashes here.

File details

Details for the file osprey_framework-0.9.3-py3-none-any.whl.

File metadata

File hashes

Hashes for osprey_framework-0.9.3-py3-none-any.whl
Algorithm Hash digest
SHA256 0c35411b513f06565aa61bd21ffffbac5408868d62b5bfe0350637cf6e3737c9
MD5 afe427b59ed24fbfc9e6f5bb32becfda
BLAKE2b-256 713f7a8e04a88be5230286b5dc1d4484ebef1c502ffa2ef7098aacd5ea081018

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