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@devexcelsior/healing-reinforcer

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Tracks healing success rates and tunes agent confidence based on runtime outcomes.

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# @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](mailto: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.