🌐 RFC-049 - A Resonance Structural Awareness Dimensional Interface

By Nawder Loswin 1/4/2026 © www.TriadicFrameworks.org #

RTT‑Inside Core API — RFC Skeleton (Draft 0.1)#

A Resonance Structural Awareness Dimensional Interface#

Internet‑Draft                                             Triadic Frameworks
Intended status: Standards Track                               January 2026
Expires: TBD

                 RTT‑Inside Core API (RTT‑Core)
      A Resonance Structural Awareness Dimensional Interface
                     draft-rtt-core-api-00

Abstract#

A concise summary of the purpose of the RTT‑Inside Core API.
This section explains that RTT‑Core defines a domain‑agnostic interface for representing, exchanging, and interpreting resonance‑based environmental data, including clarity, drift, stress, and structural coherence.
It also states that the API provides a foundation for multi‑agent systems, mesh networks, industrial safety systems, and device‑level integrations.

Status of This Memo#

Standard boilerplate indicating this is a working draft, subject to change, and not yet a finalized standard.

Copyright Notice#

Standard RFC copyright text.

Table of Contents#

Introduction
Terminology
Architectural Overview
Core Concepts
Data Model
Transport Bindings
API Endpoints
Agent Bindings
Extension Framework
Security Considerations
Privacy Considerations
IANA Considerations
References
Acknowledgments

1. Introduction#

Describes the motivation for RTT‑Inside:

the need for a unified resonance‑aware interface
the role of clarity, drift, and structural resonance in multi‑agent systems
the cross‑domain applicability (mining, ATC, deep sea, mobile devices, etc.)
the goal of providing a stable, vendor‑neutral API

2. Terminology#

Defines key terms used throughout the document, including:

Resonance Field
Clarity Score
Drift Vector
Stress Hint
Resonance Zone
Mesh Node
Resonance Event
Composite Risk
Extensions
Domain Variant

3. Architectural Overview#

High‑level description of the RTT‑Core architecture:

sensor ingestion
RTT‑Micro‑Core processing
zone aggregation
mesh coordination
agent‑level consumption
domain‑specific extensions

Includes a conceptual diagram (ASCII or referenced).

4. Core Concepts#

Explains the foundational ideas behind RTT‑Inside:

resonance as a structural signal
clarity as a stability metric
drift as directional change
composite risk as a fused interpretation
zones as logical partitions
nodes as field contributors
meshes as distributed resonance networks

5. Data Model#

Defines the canonical JSON Schemas for:

ResonanceFieldSample
ResonanceZoneState
NodeDescriptor
ResonanceAlert
RouteSuggestion

Each subsection references the formal JSON Schema and describes its purpose, required fields, and extension points.

6. Transport Bindings#

Specifies how RTT‑Core objects are transported.
Includes:

HTTP/JSON baseline binding
optional MQTT topic structure
optional gRPC/Protobuf binding
rules for versioning and backward compatibility

7. API Endpoints#

Defines the normative API surface:

/field-samples
/zones/{zone_id}/state
/nodes/register
/alerts
/routes/suggest

Each endpoint includes:

method
request schema
response schema
error model
caching rules
rate‑limit considerations (if any)

8. Agent Bindings#

Describes how open‑source AI agents interact with RTT‑Core:

local SDK expectations
event subscription model
clarity/drift accessors
safety‑critical behavior requirements
deterministic fallback behavior

This section ensures agents behave consistently across vendors.

9. Extension Framework#

Explains how domain‑specific modules extend RTT‑Core without breaking invariants.
Defines:

extension namespaces (e.g., rtt.coal.v1)
rules for adding fields
rules for optional vs. required extensions
compatibility requirements
examples of domain extensions

10. Security Considerations#

Discusses:

authentication and authorization
integrity of resonance data
mesh poisoning risks
replay attacks
safety‑critical system isolation
recommended cryptographic practices

11. Privacy Considerations#

Covers:

handling of location data
handling of device identifiers
retention policies
anonymization of field samples
cross‑domain privacy boundaries

12. IANA Considerations#

If applicable, defines:

new media types
new URN namespaces
new OID allocations

13. References#

Split into:

Normative references (JSON Schema, HTTP, UUID, ISO‑8601)
Informative references (Triadic Frameworks docs, domain papers, etc.)

14. Acknowledgments#

Credits contributors, reviewers, and organizations.

Appendices (Optional)#

A. Example Payloads
B. Example Mesh Topologies
C. Example Agent Integration
D. Domain Extension Samples (Coal, ATC, Deep Sea, etc.)

If you want, I can now populate each section with draft text, or generate a complete RFC‑style document ready for submission formatting.