feat(gmw): route all LLM traffic through 9router

GMW moves off omniroute (100.121.180.82:20128) and off the direct NVIDIA
vision endpoint onto 9router, which runs on the same host as both services
(127.0.0.1:4014) — loopback avoids the TLS/proxy hop and localhost calls
bypass 9router's remote-key guard.

- gateway + backend: AI_LLM_BASE_URL default -> http://127.0.0.1:4014/v1
- drop stale 'omniroute' router references from comments/docs now that the
  active router is 9router (llmClient, llmCaller, ARCHITECTURE, AGENTS)

Verified against 9router before wiring: model 'text' -> gemini-3.5-flash-lite
(SSE, as the pipeline expects), 'multimodal' -> nemotron-3-nano-omni answers
image input, and gemini/gemini-embedding-001 returns 3072 dims — matching the
existing Qdrant collections (no reindex needed). The GMW key is already
registered in 9router's apiKeys table.

typecheck + lint + tests green (gateway 138, backend 37 excluding e2e).
This commit is contained in:
asepharyana committed 2026-09-24 16:05:36 +07:00
1 parent 750f3aa598
commit ef7708bf7d
6 files changed
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@@ -131,7 +131,7 @@ type LLMResponseChunk = {
* `delta.content`; falls back to reasoning fields so reasoning-only models
* still produce usable aggregated text. Providers differ in the field name:
* - DeepSeek-style / Cloudflare gemma → `delta.reasoning_content`
* - mimo (via omniroute) streams reasoning in `delta.reasoning` +
* - mimo (via the router) streams reasoning in `delta.reasoning` +
* `delta.reasoning_details[].text` (content:"") — without these fallbacks
* vision aggregation came back empty ("Vision API null response").
* Exported for unit tests.
@@ -267,7 +267,7 @@ export function buildLlmParams(
reasoning: { enabled: false },
// vLLM / Qwen / litellm
chat_template_kwargs: { enable_thinking: false },
// Anthropic / Claude-format (omniroute exposes thinkingFormat
// Anthropic / Claude-format (router exposes thinkingFormat
// "claude-adaptive" / "claude-budget" on its reasoning models)
thinking: { type: "disabled" },
} as Record<string, unknown>);