@devexcelsior/healing-reinforcer v0.0.6
@devexcelsior/healing-reinforcer
🛡️ Commercial license required
📩 Contact: curtnpuckett@gmail.com
This package enables adaptive learning from healing attempts by tracking their outcomes and updating agent or routing confidence over time.
Features
- Tracks healing event outcomes: success, rollback, escalation
 - Scores fallback actions based on effectiveness
 - Learns optimal agent/routing patterns for future signals
 - Can persist feedback to memory store or emit metrics
 
Use Cases
- Improve LLM fallback accuracy over time
 - Tune signal confidence or retry patterns by signal type
 - Route healing to most effective fallback agent
 
🧠 Agentic Governance Backbone
Runtime AI systems require transparent fallback infrastructure —
with memory, arbitration, and healing traceability baked in.
This SDK forms that backbone.
🛡️ Licensing Terms
This package is licensed under the Business Source License 1.1
You may use it for non-commercial evaluation or internal development only.
All production, hosted, or commercial usage requires a valid license agreement.
Redistribution, behavioral mimicry, or architectural reimplementation —
even without direct source reuse — is strictly prohibited without explicit commercial rights.
📩 License inquiries: curtnpuckett@gmail.com
🚫 Prohibited Use Cases
Use of this SDK is explicitly prohibited in any system that:
- Executes fallback logic in production
 - Suggests or automates UI recovery via inference or replay
 - Implements agent chaining or LLM-based healing orchestration
 - Embeds recovery signals in devtools, SDKs, or assistants
 - Replicates fallback patterns through reverse engineering, framing, or shell systems
 
Use in these contexts without license constitutes derivative misuse and IP infringement.
🔐 Platform & Behavioral Restrictions
These restrictions apply regardless of naming, branding, or internal framing:
- Reimplementing fallback orchestration under alternate terminology (e.g. “stability assist”, “UX resilience”)
 - Embedding healing behavior into runtimes, plugins, or assistants
 - Reproducing agent arbitration, state replay, or trust scoring
 - Training models or composing agents to mimic fallback logic
 - Delaying automation under “suggestion-only” pretenses but executing recovery actions
 
All derivative behavior — even cleanroom recreations — is protected.
All systems of this nature require a license.
Omission from this document does not imply permission.
🧠 Attribution & Anti-Containment Clause
Any relabeling, shell-vendor reuse, or silent internal replication of:
- Agent fallback trees
 - Signal replay logic
 - Trust-weighted arbitration
 - Runtime orchestration flows
 
…constitutes a violation of this license and will trigger full enforcement.
Attribution is required for all derivative use.
Behavioral recreations — even without visible source reuse — are covered under protected architectural mimicry.
© 2025 Curt Puckett.
All rights reserved across runtime systems, cloud agents, edge devices, Unity, AI SDKs, and fallback orchestration platforms.