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References

This project is implemented from the platform behavior described in the README, production readiness matrix, runbooks, and these upstream projects:

  • vLLM OpenAI-compatible server: https://docs.vllm.ai/en/stable/serving/openai_compatible_server.html
  • vLLM GPU installation and platform support: https://docs.vllm.ai/en/latest/getting_started/installation/gpu/
  • AMD ROCm vLLM inference image: https://rocm.docs.amd.com/en/develop/how-to/rocm-for-ai/inference/benchmark-docker/vllm.html
  • AMD GPU Device Plugin for Kubernetes: https://instinct.docs.amd.com/projects/k8s-device-plugin/en/latest/index.html
  • Ollama OpenAI compatibility: https://docs.ollama.com/openai
  • Ollama Qwen2.5 model library: https://ollama.com/library/qwen2.5
  • Ollama Qwen3.5 model library: https://ollama.com/library/qwen3.5
  • Qwen3 Coder Next model card: https://huggingface.co/Qwen/Qwen3-Coder-Next
  • Qdrant collections API: https://api.qdrant.tech/api-reference/collections/create-collection
  • Qdrant query points API: https://api.qdrant.tech/api-reference/search/query-points
  • Argo CD app-of-apps and declarative setup: https://argo-cd.readthedocs.io/
  • External Secrets Operator Kubernetes provider: https://external-secrets.io/latest/provider/kubernetes/
  • Kubernetes NetworkPolicy: https://kubernetes.io/docs/concepts/services-networking/network-policies/
  • Kubernetes ResourceQuota and LimitRange: https://kubernetes.io/docs/concepts/policy/resource-quotas/
  • W3C Trace Context: https://www.w3.org/TR/trace-context/
  • KEDA Prometheus scaler: https://keda.sh/docs/latest/scalers/prometheus/
  • Kyverno image verification: https://kyverno.io/docs/
  • Sigstore Cosign: https://docs.sigstore.dev/cosign/
  • Syft SBOM generation: https://oss.anchore.com/syft/
  • Velero backup and restore: https://velero.io/docs/
  • OpenCost: https://www.opencost.io/docs/
  • redis-py package release history: https://pypi.org/project/redis/
  • restore-drill: https://github.com/RamazanKara/restore-drill
  • OWASP Top 10 for LLM Applications 2025: https://genai.owasp.org/llm-top-10/
  • NIST AI Risk Management Framework 1.0: https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-ai-rmf-10
  • NIST Generative AI Profile (NIST AI 600-1): https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-generative-artificial-intelligence
  • EU Artificial Intelligence Act (Regulation (EU) 2024/1689): https://eur-lex.europa.eu/eli/reg/2024/1689/oj