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Remove remaining weftbox/weft-llm references from configs\n\nGenericized infrastructure-specific names in agent config comments:\n- 'weftbox' → 'the server' (6 config files + threat model)\n- 'weft-llm' → 'llm-service' (prometheus scrape target name)\n- 'weft-llm-gpu' → 'llm-gpu' (grafana dashboard UID example)\n\nZero 'weft' references remain in any tracked file (except 'goweft'\nGitHub org name). Configs re-signed. 126 tests passing.
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agents/grafana-bridge.yaml

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# Heddle Agent: grafana-bridge
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# Bridges the Grafana API on weftbox (port 3005).
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# Bridges the Grafana API on the server (port 3005).
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# Auth via credential broker (grafana-basic-auth).
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# 1 dashboard (WEFT LLM & GPU Metrics), 1 datasource (Prometheus), 4 alert rules.
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parameters:
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uid:
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type: string
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description: "Dashboard UID, e.g. 'weft-llm-gpu'"
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description: "Dashboard UID, e.g. 'llm-service-gpu'"
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required: true
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returns:
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type: string

agents/nexus-bridge.yaml

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# Heddle Agent: nexus-bridge
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# Bridges the NEXUS AI Platform API on weftbox (port 8080).
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# Bridges the NEXUS AI Platform API on the server (port 8080).
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# 45 endpoints available, exposing the most useful ones for Claude.
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# NEXUS provides multi-LLM routing, RAG, code analysis, and app management.
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agents/ollama-bridge.yaml

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# Heddle Agent: ollama-bridge
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# Bridges the Ollama API on weftbox (port 11434).
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# Bridges the Ollama API on the server (port 11434).
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# 7 models installed, GPU-accelerated inference.
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agent:

agents/prometheus-bridge.yaml

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# Heddle Agent: prometheus-bridge
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# Bridges the Prometheus API on weftbox (port 9092).
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# 4 scrape targets: node-exporter, prometheus, intel-rag, weft-llm
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# Bridges the Prometheus API on the server (port 9092).
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# 4 scrape targets: node-exporter, prometheus, intel-rag, llm-service
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agent:
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name: prometheus-bridge
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version: "1.0.0"
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description: >
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Bridge to the Prometheus monitoring API. Query metrics, check
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target health, list alerts, and run PromQL queries across
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weftbox infrastructure (node-exporter, intel-rag, weft-llm).
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server infrastructure (node-exporter, intel-rag, llm-service).
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model:
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provider: none

agents/vram-orchestrator.yaml

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name: vram-orchestrator
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version: "1.0.0"
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description: >
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GPU VRAM orchestrator for weftbox. Manages model loading across
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GPU VRAM orchestrator for server. Manages model loading across
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Ollama and llama.cpp, tracks VRAM usage, provides intelligent
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model selection, and optimizes GPU memory allocation.
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24GB RX 7900 XTX with 30 GGUFs + 7 Ollama models available.

docs/threat-model.md

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**Now implemented (Phase 3f):**
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- **Generated agent quarantine.** AI-generated configs land in a staging directory and require explicit promotion before they can be registered or run.
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- **Config signing.** YAML configs can be cryptographically signed; the runtime verifies signatures before loading.
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- **URL allowlist.** Bridge URLs are checked against a set of known weftbox service endpoints.
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- **URL allowlist.** Bridge URLs are checked against a set of known server service endpoints.
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**Framework mapping:**
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| Control | OWASP Agentic | NIST AI RMF | MAESTRO |

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