Hello OpenAI Community,
I’m excited to share a project that I’ve been working on and deeply believe in—the Unified Intent Mediator (UIM) Protocol. This open-source initiative aims to address some of the major challenges in AI-agent and web service interactions by creating a standardized framework for intent discovery, execution, and ethical data access.
What is the UIM Protocol?
The UIM Protocol is designed to streamline and secure the way AI agents interact with web services. Key components include:
- Intents: Structured actions that web services can expose, defining specific tasks such as searching products, placing orders, or retrieving data. Each intent has a unique identifier, metadata, and required parameters.
- Metadata and Parameters: Each intent comes with metadata (name, description, category) and defined parameters, providing context and specific input requirements.
- Policy Adherence Tokens (PATs): Digitally signed tokens issued by web services that encapsulate permissions, billing, and compliance rules, streamlining policy enforcement and automating billing.
- Discovery and Execution APIs: AI agents can query discovery APIs to find available intents and use execution APIs to perform actions. Execution involves validation, interaction with the service’s API, response formatting, and error handling.
- DNS TXT Records and agents.json Files: Innovative methods for endpoint discovery, allowing AI agents to find and authenticate API endpoints using familiar internet protocols.
- Integration with Open Digital Rights Language (ODRL): Provides a structured approach to managing permissions, prohibitions, and obligations, ensuring clear and enforceable rules between AI agents and web services.
Why This Matters:
- Transparency and Compliance: The UIM Protocol ensures AI agents respect data use policies, providing a standardized way for web services to signal their terms of use, including copyright and privacy requirements.
- Secure Interactions: Through structured access management and digital signatures, we aim to make AI interactions more secure and accountable.
- Fair Compensation for Data Use: The protocol includes mechanisms that allow service providers to specify usage conditions and compensation models, addressing the growing concerns around unregulated data scraping.
How You Can Help:
We’re actively seeking feedback from the AI community to refine the protocol and ensure it addresses the real-world challenges you encounter. Whether you’re an AI developer, a service provider, or simply someone passionate about responsible AI, your insights can help shape this protocol into a tool that truly meets the needs of our community.
- Review the Draft: Check out the protocol on Github danielbentes slash uim-protocol where the draft specification is hosted. (cant share links here)
- Join the Discussion: Share your thoughts, suggest improvements, or raise concerns directly on GitHub or in this thread.
- Contribute Code or Ideas: We welcome all contributions, proposals for new features, and discussions on how to expand and improve the protocol.
Let’s Build a Better AI Ecosystem Together
I believe the UIM Protocol can play a critical role in creating a more ethical and standardized approach to AI interactions, but it can only reach its full potential with your input and support. Thank you in advance for your time and feedback—I’m looking forward to hearing your thoughts!
Best,
Daniel Bentes
Linkedin: danielbentes