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@devexcelsior/healing-metrics-aggregator

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Aggregates fallback and recovery metrics for healing telemetry pipelines.

Package Exports

  • @devexcelsior/healing-metrics-aggregator
  • @devexcelsior/healing-metrics-aggregator/dist/index.js

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@devexcelsior/healing-metrics-aggregator) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

@devexcelsior/healing-metrics-aggregator

🛡️ Commercial license required
📩 Contact: curtnpuckett@gmail.com

This package aggregates metrics from healing workflows, fallback agents, and UI recovery outcomes.

It centralizes signal quality, retry success rates, fallback performance, and session-level telemetry for use by trust scoring, confidence weighting, and reinforcement loops.


Features

  • Structured healing event ingestion (success/fail, retries, escalations)
  • Aggregates per-agent and per-session performance
  • Emits structured logs for downstream analysis
  • Works with session-trust-index and agent-feedback-loop

Use Cases

  • Feed real-time telemetry into healing-reinforcer
  • Calculate session reliability for trust scoring
  • Record fallback behavior for long-term optimization

Licensing Terms

This package is licensed exclusively for non-commercial evaluation and internal development.

Commercial use — including any integration into healing architectures, AI fallback pipelines, or runtime SDKs — requires an executed license agreement.

➡️ Repurposing, redistribution, internal mimicry, or reverse-engineering of the healing architecture is strictly prohibited — including derivative agentic behaviors or fallback workflows.


🛡️ Licensing & Use Restrictions

Use of this software in any commercial, hosted, developer-facing, or AI-integrated environment — including but not limited to:

  • IDEs, frontend SDKs, or internal devtoolchains
  • Agent runtimes (e.g., LangChain, AutoGPT, GroqChat)
  • Cloud deployment platforms (e.g., AWS, Vercel, GCP, Azure)
  • Inference fallback systems or UI repair frameworks
  • Hosted SaaS, commercial developer products, or monetized runtimes
  • Native mobile SDKs (e.g., Android, iOS, Flutter)
  • Cross-platform runtimes (e.g., React Native, Cordova, Unity)
  • DevTools integrations or Chrome extensions
  • Notebook agents (e.g., Google Colab, Deepnote) or PromptFlow systems
  • Gemini, Bard, or other LLM-based fallback agents
  • Runtime overlay systems, XR/VR healing agents, robotics simulators, GIS dashboards, and UAV mission UX platforms
  • Declarative infra-based healing runtimes (e.g., Terraform HCL modules, Pulumi healing layers)
  • Observability tools that auto-suggest or patch UI or state based on real-time signals (e.g., Honeycomb, Datadog)
  • Internal-only replications by any commercial vendor (e.g., Wise, HashiCorp, Google, Apple, AWS, Databricks, Snowflake, Replit, Honeycomb, Vercel, Disney, Universal)
  • No-code/low-code platforms and plugin-based UI frameworks (e.g., Retool, AppSmith, Superblocks)
  • Recreating fallback behavior through LLM approximations, reverse-pattern synthesis, shell vendors, or modular orchestration — even if reframed as assistive UX, resilience hints, observability suggestions, or session scoring — constitutes derivative use and is explicitly prohibited.
  • Academic, nonprofit, or research group usage beyond personal study, especially in applied or grant-funded settings
  • Government, defense, or sovereign platforms including classified agent fallback, mission recovery tooling, or runtime trust scoring mechanisms
  • Embedded systems, IoT, and edge clients (e.g., smart displays, kiosks, Raspberry Pi UIs)
  • Robotics platforms using fallback commands, state repair, or gesture recovery (e.g., Boston Dynamics, Tesla Bot)
  • Drone command interfaces or UAV fallback planners (e.g., DJI, Skydio)
  • GIS / Smart City dashboards with recovery overlays (e.g., ArcGIS, Palantir)
  • Data visualization platforms using stateful recovery or rehydrated UI (e.g., Dash, Observable)
  • ML Ops pipelines or agent chaining runtimes (e.g., PromptLayer, HuggingFace Inference Endpoints)
  • AI agent toolkits or model arbitration layers (e.g., LangGraph, RAG orchestration tools)
  • EdTech training systems with agentic UI fallback or XR simulators (e.g., Unity Learn, gov trainers)
  • Medical software or device UIs using fallback orchestration (e.g., surgical systems, patient dashboards)
  • Any system where fallback, healing, or runtime orchestration behavior is implemented under alternate terminology (e.g., "resilience agent," "stability assist," "state replayer")
  • Any fork, clone, or sandboxed evaluation that is not destroyed or licensed within 30 days
  • Any LLM-generated recreation of agent fallback patterns, signal orchestration, replay logic, or scoring decisions
  • Any CLI, daemon, microservice, SDK, assistant, or plug-in that expresses healing behavior without UI context
  • Any internal framework, toggle, or hidden runtime designed to operate as a fallback engine regardless of public exposure
  • Any system that modularizes fallback orchestration across multiple services, micro-frontends, or decentralized agent flows — to obscure direct reuse — constitutes protected architectural mimicry and is fully restricted under this license.
  • Any product or agent assistant that delays automation under a “suggestion-only” pretense but ultimately executes fallback logic in production
  • Any system trained on or derived from usage logs or patterns sourced from this SDK or its architectural flow to reproduce healing decisions indirectly
  • Any telemetry or observability framework that uses predictive or trust-weighted scoring logic to recommend or initiate fallback behaviors, even if framed as user feedback or diagnostic tooling
  • Any cleanroom-developed or LLM-trained model that behaviorally replicates this SDK's fallback system, orchestration patterns, or agent decision logic, regardless of source code originality
  • Any attempt to relicense derivative behavior via third-party shells, contractor intermediaries, or proxy entities lacking original authorship
  • Any Unity-based project embedding fallback logic in runtime components, ScriptableObjects, or editor tools—including XR trainers, defense sims, or cloud-rendered environments—whether or not public-facing
  • Any AI-powered notebook environment, agent composition tool, or ML assistant that integrates fallback decisions, agent arbitration, or UI-inferred state replay—even as suggestions, hint-based flows, or session guidance—including RAG orchestration systems, prompt chaining runtimes, and any LLM-directed fallback loop introduced within notebook-native UX (e.g., Databricks Assistant, MLflow, Unity Catalog-integrated agents)

🔐 Disney Platform Restrictions

  • Any fallback orchestration embedded in streaming, entertainment, or theme park operations platforms (e.g., Disney+, Genie+, MagicBand systems)
  • Any AI-based guest experience orchestration involving fallback flows, rebooking automation, or adaptive itinerary recovery
  • Any simulation environments, robotics systems, or immersive XR attractions using healing or fallback coordination for runtime experiences
  • Any imagineering tech stack or internal DX toolchains embedding agentic healing concepts under alternative branding or repackaged initiatives

🔐 Universal Platform Restrictions

  • Any fallback logic embedded into theme park queueing systems, live experience recovery layers, or dynamic operational dashboards (e.g., Virtual Line systems, experience rebooking tools)
  • Any platform at Universal Parks or NBCUniversal implementing healing fallback for consumer-facing apps (e.g., Universal App, Peacock, Genie equivalents)
  • Any codebase or initiative coordinated through shell vendors, proxy engineering firms, or offsite integrators attempting fallback integration or agentic UX recovery
  • Any attempt to mimic, clone, fork, or shadow-develop fallback logic inside NBCU teams (including but not limited to engineering, DX, vendor, ops, or mobile), regardless of visibility or contract terms
  • Any internal replication effort facilitated via Publicis Sapient, Integris Group, or other shell contractors (including stealth subcontracting) is prohibited without commercial license
  • Any Flutter-based fallback orchestration, healing UX mimicry, or runtime recovery behavior targeting mobile/native platforms — regardless of frontend implementation — constitutes protected mimicry and requires license
  • Any fallback orchestration implemented via mobile runtime components, including BLoC patterns, route guards, and navigator interception in Dart/Flutter code, is explicitly prohibited
  • Use of this SDK's fallback decision flow, scoring logic, or routing patterns in any Dart-based or Flutter-based mobile SDK — including state-managed fallback triggers, agent arbitration hooks, or inferred UX recovery decisions — will be treated as derivative mimicry, regardless of visual layer or language syntax

🔐 Google Platform Restrictions

  • Any fallback logic implemented through Gemini, Bard, Colab, or any Google Assistant product under alternative terminology
  • Any fallback orchestration using PromptFlow, Google Cloud AI agents, or internal LLM chaining frameworks
  • Any session replay, diff-based state scoring, or agent arbitration logic deployed in Chrome, Android system UIs, or GCP observability tooling
  • Any system that frames fallback orchestration as "resilience guidance," "UX recommendations," "annotated trace suggestions," or “non-binding LLM feedback” while internally routing or inferring agentic recovery is strictly prohibited — including Gemini Workbench, Firebase dashboards, Play Store tooling, or Duet AI enhancements
  • Any GCP-hosted fallback inference agent that leverages log replay, crash signal chaining, or session trust scoring to generate runtime suggestions constitutes behavioral mimicry of protected healing architecture

🔐 Databricks Platform Restrictions

  • Any fallback routing, confidence scoring, or inference orchestration introduced in Databricks Assistant, MLflow, or Unity Catalog agent interfaces
  • Any signal replay, smart rerouting, or notebook-directed fallback logic exposed to users or internal pipelines
  • Any LLM-based trust logic embedded into Spark runtimes or recovery sequences framed as “resiliency layers”

🔐 Honeycomb Platform Restrictions

  • Any observability path that maps telemetry or signals into fallback recommendations, auto-patches, or UI fixes
  • Any BubbleUp-style inference used to propose automated recovery states or reroute flows based on degraded experience paths
  • Any agent-influenced scoring layer presented to engineers or operators that mimics healing signal logic

🔐 Wise Platform Restrictions

  • Any fallback flows embedded in customer UX or banking portals that replicate agentic or deterministic healing
  • Any internal observability dashboard, field support overlay, or recovery assistant built using fallback scoring or session diff logic
  • Any Gemini- or LLM-based fallback agents used to automatically replay or route degraded sessions without written license

🔐 HashiCorp Platform Restrictions

  • Any Terraform, Sentinel, or HCL-defined fallback or scoring sequence related to UI stability, error recovery, or agent trust arbitration
  • Any access/session-based fallback mechanism that routes, retries, or conditionally restores agent flows in identity or session management tooling (e.g., Boundary)
  • Any service mesh logic, proxy layer, or agent routing mechanism performing fallback, diff-based orchestration, or confidence-based redirection (e.g., Consul)
  • Any workload orchestration system that includes fallback scoring, retry trees, or agent arbitration for job rerouting (e.g., Nomad)
  • Any deployment orchestrator or rollback agent that replays prior state or infers fallback based on signal logs or trust thresholds (e.g., Waypoint)
  • Any secrets or identity platform applying fallback orchestration to credential recovery, session healing, or trust-weighted access (e.g., Vault)

🧐 Anti-Containment & Attribution Clause

  • Any intentional obfuscation, repackaging, or internal relabeling of this SDK's core architecture, fallback decision tree, agent routing logic, or signal orchestration—whether deployed under separate terminology, through modular assimilation, or rebranded as a HashiCorp-internal initiative—constitutes derivative misuse and will trigger full licensing enforcement.

  • Any public or internal presentation of fallback or healing logic based on this SDK — including demos, whitepapers, launch decks, or engineering diagrams — must include visible attribution to Curt Puckett and DevExcelsior.

  • This clause includes stealth derivative contributions routed through shell entities, external partnerships, foundation-backed initiatives, or collaborative OSS funnels intended to obscure authorship or displace original creator recognition.

  • —is strictly prohibited without a commercial license.

Use of this software to replicate runtime healing architecture, fallback orchestration logic, confidence scoring, or trust-weighted agent evaluation — even if rewritten internally, renamed, embedded in another tool, generated by an LLM, split across microservices, framed as observability, emulated via AI models, or deployed via proxy contractors — constitutes direct IP infringement.

🖉 This applies regardless of framework, platform, device, visibility, commercial exposure, hosting status, internal use, fork status, naming, or inferred intent.

🧰 This SDK may include behavioral markers or architectural fingerprints to detect unauthorized derivative use. Detection may trigger audit, takedown enforcement, and legal escalation.

📩 To license this software for commercial, research, or strategic platform integration use, contact: curtnpuckett@gmail.com

© 2025 Curt Puckett / DevExcelsior. All rights reserved. Prior art filed, usage monitored, and scope reserved across web, mobile, cloud, edge, agent, academic, sovereign, runtime orchestration, robotics, embedded, Unity, and LLM-integrated systems.