Stéphane Tailland a26e57b2c5 Let the AI gateway read the bodies it is meant to log
Two ceilings had to clear 30 KB prompts, and neither alone was enough:
nginx's client_body_buffer_size, which decides whether the body stays in
memory at all, and ai-proxy's max_request_body_size, which decides whether
the plugin will introspect it. With the first at 8k the body went to a
temp file and kong.request.get_raw_body() returned nil, so log_payloads
and log_statistics were enabled and empty, and no kong_ai_llm_* metric
ever appeared.

256k here against the 8k the domain gateways keep. Affordable because this
gateway is low-traffic; the buffer is per connection carrying a body, so
copying the value to the domain gateways needs that arithmetic redone for
their volume.

Storage cost measured rather than assumed: 18 LLM requests a day at
roughly 60 KB of prompt and completion is 1.1 MiB/day, against 425 MiB/day
of Kong audit records already flowing. My earlier warning that the audit
trail would grow fast was wrong at this volume.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-27 16:41:34 +02:00
2026-08-20 17:28:05 +02:00

platform-llm

Platform-owned llm bounded context — Gateway infrastructure and the shared LLM proxy in one repo. Never split per functional domain, and never split between infra/routing here either: both are owned by the same (platform) team, unlike catalog's dataplane-catalog/catalog-api split (feature team vs. platform team, a real access boundary that doesn't exist for this domain).

What it does

Fronts OpenRouter (https://openrouter.ai) via one proxy route (/llm/v1/chat/completions) — the client's own model field selects among any OpenRouter-hosted model, not just a fixed set Kong picks.

Active policies:

  • ai-rate-limiting-advanced, token-based, both global (across all callers) and per-client (per authenticated consumer).
  • ai-prompt-guard (regex) and ai-semantic-prompt-guard (embedding-based, backed by Redis Stack) for prompt-injection/jailbreak safeguarding.
  • Two-tier auth: key-auth (static, shared key) for chatbot UIs that can't do OIDC on their outbound LLM connection (LibreChat and similar tools — structural limitation of that whole category, not fixable client-side), openid-connect for agents built in-house. Either succeeds; a request passing neither is rejected (request-termination on the fallback anonymous consumer).

Not yet active: PII redaction (ai-sanitizer) — needs a private Kong Cloudsmith registry image and an AI Gateway Enterprise entitlement, blocked pending that access. Everything else in this repo is unaffected.

Structure

  • dev/ai-gateway-kustomization.yaml + dev/ai-gateway-externalsecret.yaml — Gateway/DataPlane/Control Plane infra (same shared k8s-platform template every domain uses).
  • dev/proxy-kustomization.yaml + dev/proxy-externalsecret.yaml — the LLM proxy itself (./kong).
  • dev/gitrepository.yaml — this repo, self-referential.
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