🌐 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:
ResonanceFieldSampleResonanceZoneStateNodeDescriptorResonanceAlertRouteSuggestion
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.)
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