- extract-patterns.js: mines layered arch, ArgoCD appsets, cloud regions, CIDR allocations, naming conventions, sync waves, tech stack from code - agent-kb.js: token-efficient JSON rendering of same doc tree - eval-confluence-ref-questions.json: 32 reference-only benchmark questions - wiggum-v2.sh: Ralph Wiggum loop targeting confluence baseline (77.8%) - docs/human-ux-spec.md: BMad UX designer spec for human doc structure - Eval results: V2 at 28.7% vs confluence 77.8% baseline - Hub/spoke ownership now correctly extracted (95% on that question) - Naming conventions, regions, CIDRs surfaced in system-architecture.md
17 lines
708 B
Markdown
17 lines
708 B
Markdown
# kong-gateway-setup
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A Helm chart for Kong Gateway setup using Argo Workflows for Reltio
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## Values
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| Key | Type | Default | Description |
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|-----|------|---------|-------------|
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| git.sshKeySecret | string | `"git-ssh-key"` | |
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| konnect.apiUrl | string | `"https://us.api.konghq.com"` | |
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| workflow.name | string | `"kong-gateway-setup"` | |
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----------------------------------------------
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Autogenerated from chart metadata using [helm-docs v1.14.2](https://github.com/norwoodj/helm-docs/releases/v1.14.2)
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