feat(litellm): embedder primary/failover split — qwen3-embedding on esh-ml1, new qwen3-embedding-bulk on nh3-ml1
Prime's ruling 2026-10-05 (relayed by albok-dev, confirmed directly) replaces the 2026-09-26 simple-shuffle load-share for embeddings only; the reranker groups are unchanged. Routing uses LiteLLM per-deployment `order` (semantics read at source in v1.97.0): lowest order among healthy deployments, and a failed request retries at the next order. Verified after the restart (43 s gateway outage): 6/6 calls per alias landed on its primary. With nh3-ml1 tei-embed stopped, qwen3-embedding-bulk served 6/6 from esh-ml1 with 200s; once nh3-ml1 was back, bulk returned 6/6 to nh3-ml1. The albok-service key now covers qwen3-embedding-bulk (200); the Nemi key does not (403).
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@@ -7,7 +7,8 @@
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#
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# Model-name → upstream mapping:
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# phi4-mini → vLLM :8004 (generative chat)
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# qwen3-embedding → TEI on esh-ml1 :8001 (/v1/embeddings)
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# qwen3-embedding → TEI on esh-ml1 :8001, nh3-ml1 failover (/v1/embeddings)
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# qwen3-embedding-bulk → TEI on nh3-ml1 :8001, esh-ml1 failover (albok writes)
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# reranker → TEI on esh-ml1 :8013 (/rerank, huggingface/ provider)
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# * (wildcard) → llama-swap :9292 (the swappable generative zoo)
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#
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@@ -443,20 +444,34 @@ model_list:
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# explicitly. Operator ruling 2026-08-23. ---
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# --- Qwen3 embeddings ---
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# TWO backends, load-shared (simple-shuffle), since 2026-09-26 (Prime): esh-ml1
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# (ESH) and nh3-ml1 (NH3). Both are an RTX 2000E Ada running Hugging Face TEI
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# 89-1.9.4 with the same model. Parity measured 2026-09-25: cosine esh vs nh3
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# min 0.999993 = each host's own floor; overlap@10 1.000
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# (servers/nh3-ml1/README.md). TEI's /v1/embeddings is OpenAI-compatible, so the
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# provider is `hosted_vllm/`. TEI vectors match the retired vLLM seats (cosine
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# median 0.999925), so no index needed re-embedding.
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# ⚠ Never point this name at a DIFFERENT embedding model: vectors are
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# model-specific. Engine bake-off: docs/pfi/embed-rerank-tei-vs-vllm-bakeoff.md.
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# TWO backends, esh-ml1 (ESH) and nh3-ml1 (NH3). Both are an RTX 2000E Ada running Hugging Face TEI
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# 89-1.9.4 with the same model. Parity measured 2026-09-25: cosine esh vs nh3 min 0.999993 = each
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# host's own floor; overlap@10 1.000 (servers/nh3-ml1/README.md). Re-measured 2026-10-05 by albok-dev
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# (20 texts x 3 runs, direct to each TEI): min cosine 0.999996, the same as each backend against
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# itself; cross-backend query/document ranking identical 5/5. TEI's /v1/embeddings is
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# OpenAI-compatible, so the provider is `hosted_vllm/`.
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#
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# ROUTING (Prime 2026-10-05, replaces the 2026-09-26 simple-shuffle load-share for embeddings only;
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# the reranker groups below are unchanged): PRIMARY + FAILOVER via `order`, never a split.
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# qwen3-embedding fleet default esh-ml1 order 1, nh3-ml1 order 2
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# qwen3-embedding-bulk albok writes nh3-ml1 order 1, esh-ml1 order 2
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# so bulk ingest (an albok reindex is ~15k chunks) lands on nh3-ml1 and cannot starve the fleet's
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# query path on esh-ml1, and either host going down slows its traffic rather than failing it.
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# `order` semantics, read at source in this image (v1.97.0, litellm/utils.py
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# _get_order_filtered_deployments + router.py "ORDER-BASED FALLBACKS"): the router picks the lowest
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# `order` among HEALTHY (not cooled-down) deployments; when a request fails there, it retries the
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# same group at the next `order` level before any external fallback.
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# ⚠ Never point either name at a DIFFERENT embedding model: vectors are model-specific, and both
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# aliases feed the same indexes. Engine bake-off: docs/pfi/embed-rerank-tei-vs-vllm-bakeoff.md.
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# ⚠ TEI /info reports model_sha null on both hosts, so the weights revision is not pinned. A
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# re-pull on one host could drift the pair apart silently; re-run the parity check after any
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# re-pull (albok-dev, 2026-10-05).
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- model_name: qwen3-embedding
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litellm_params:
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model: hosted_vllm/Qwen/Qwen3-Embedding-0.6B
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api_base: http://10.0.50.80:8001/v1
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api_key: os.environ/VLLM_API_KEY
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order: 1
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model_info:
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mode: embedding
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- model_name: qwen3-embedding
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@@ -464,6 +479,23 @@ model_list:
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model: hosted_vllm/Qwen/Qwen3-Embedding-0.6B
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api_base: http://10.100.50.80:8001/v1
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api_key: os.environ/VLLM_API_KEY
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order: 2
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model_info:
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mode: embedding
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- model_name: qwen3-embedding-bulk
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litellm_params:
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model: hosted_vllm/Qwen/Qwen3-Embedding-0.6B
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api_base: http://10.100.50.80:8001/v1
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api_key: os.environ/VLLM_API_KEY
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order: 1
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model_info:
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mode: embedding
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- model_name: qwen3-embedding-bulk
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litellm_params:
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model: hosted_vllm/Qwen/Qwen3-Embedding-0.6B
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api_base: http://10.0.50.80:8001/v1
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api_key: os.environ/VLLM_API_KEY
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order: 2
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model_info:
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mode: embedding
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@@ -1107,8 +1139,8 @@ router_settings:
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# a share of requests: the router's default 2 retries re-picked at random and
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# hit the dead one again. Measured 2026-09-26 with nh3-ml1 TEI stopped: 7/40
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# embeds returned 500.
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# Affects ONLY multi-deployment groups (qwen3-embedding, reranker,
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# reranker-a3-bge-v2-m3 as of 2026-09-26). A single-deployment group has no
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# Affects ONLY multi-deployment groups (reranker and reranker-a3-bge-v2-m3; the two
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# embedding groups route by `order` since 2026-10-05, see the Qwen3 embeddings block). A single-deployment group has no
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# other deployment to re-pick, so its behaviour is unchanged.
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enable_weighted_failover: true
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