A secure multi-agent framework by TBH.AI focused on high security.
Project description
TBH Secure Agents
A secure multi-agent framework by TBH.AI focused on high security.
This package provides tools and structures for building multi-agent systems with a strong emphasis on security principles. Developed by Saish at TBH.AI.
Key Features (Planned)
- High Security Focus: Built with security best practices from the ground up. (Details TBD)
- Modular Agent Design: Easily define and customize agents.
- Flexible Task Management: Define complex workflows and tasks for agents.
- Secure Communication: Mechanisms for secure inter-agent communication. (Details TBD)
- (Other differentiating features...)
Installation
pip install tbh-secure-agents
Documentation
Full documentation, including installation instructions, usage guides, and details on the security focus, can be found in the docs/ directory:
Getting Started (Quick Example)
Here's a conceptual example:
# Example Usage (Conceptual) - See docs/usage_guide.md for details
# from tbh_secure_agents import Expert, Operation, Squad
# Define experts with specific specialties and security contexts
# security_researcher = Expert(specialty='Security Researcher', objective='Identify vulnerabilities', security_profile='high')
# reporting_expert = Expert(specialty='Reporter', objective='Summarize findings securely', security_profile='medium')
# Define operations
# research_operation = Operation(instructions='Analyze system X for security flaws', expert=security_researcher)
# reporting_operation = Operation(instructions='Compile a secure report of findings', expert=reporting_expert)
# Form a squad
# security_squad = Squad(
# experts=[security_researcher, reporting_expert],
# operations=[research_operation, reporting_operation],
# verbose=True # Or configure security logging
# )
# Deploy the squad
# result = security_squad.deploy()
# print(result) # Securely handled output
Contributing
Contributions are welcome! Please see the CONTRIBUTING.md file (to be created) and refer to the documentation in the docs/ directory for project structure and goals.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Contact
TBH.AI Saish - saish.shinde.jb@gmail.com
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file tbh_secure_agents-0.1.1.tar.gz.
File metadata
- Download URL: tbh_secure_agents-0.1.1.tar.gz
- Upload date:
- Size: 16.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e495f245c9d30538053a874f28fcb677623c8166a7f3be3a97fd3f47f8df1344
|
|
| MD5 |
07e52233e958cf549a53dcded73a894b
|
|
| BLAKE2b-256 |
824f7468102b484a1a6ab6af8f1fa3ebca80f236d121c99476a0ee50e059c396
|
File details
Details for the file tbh_secure_agents-0.1.1-py3-none-any.whl.
File metadata
- Download URL: tbh_secure_agents-0.1.1-py3-none-any.whl
- Upload date:
- Size: 18.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d79dee578f13818c110aa50d1d76d4535d381bc4100c34bdd7201224ffd36881
|
|
| MD5 |
b8d12c4a74a68f9b0672f6d19a649043
|
|
| BLAKE2b-256 |
cdee6c84d7be80c934f07ece88b31f6593d13ea59f84b83ef0361b962d7333ca
|