# LiteLLM gateway config — fronts the vLLM services on ana-ml2 # (10.250.50.54) and logs every request + response so they're # inspectable in the Logs UI at http://10.250.50.70:4000/ui. # # Deploys to /opt/docker/conf/litellm/config.yaml (mounted read-only # into the container at /app/config.yaml). # # Model-name → upstream mapping: # phi4-mini → vLLM :8004 (generative chat) # qwen3-embedding → vLLM :8001 (/v1/embeddings) # qwen3-reranker → vLLM :8002 (/rerank) # * (wildcard) → llama-swap :9292 (the swappable generative zoo) # # The wildcard fronts llama-swap so its whole model zoo logs through the # gateway without per-model registration. The vllm-reward classifier # (:8003) is a pooling /classify endpoint with no first-class LiteLLM # route — left direct; see README. model_list: # --- Granite 4.1 8B (generative chat) — production summarizer + dreaming # agent. Replaced phi4-mini 2026-06-05 (beat it on precision in brokkr's # R15 P03 eval). vLLM on ana-ml2 GPU 1, official FP8, 50K ctx. Explicit # entry shadows the "*" wildcard's llama-swap route for this name. Full # prompt + completion captured per call. --- - model_name: granite-4.1-8b litellm_params: model: hosted_vllm/granite-4.1-8b api_base: http://10.250.50.54:8004/v1 api_key: os.environ/VLLM_API_KEY model_info: mode: chat # alias: summarizer -> granite-4.1-8b (operator 2026-06-19). Duplicate-entry alias # (not router_settings.model_group_alias — that's hidden from /v1/models and can be # silently ignored in config per litellm #15020/#5524). Keep api_base in sync above. - model_name: summarizer litellm_params: model: hosted_vllm/granite-4.1-8b api_base: http://10.250.50.54:8004/v1 api_key: os.environ/VLLM_API_KEY model_info: mode: chat # alias: classifier -> granite-4.1-8b (operator 2026-06-19). Light/fast classification # + triage endpoint; same backend as summarizer. Keep api_base in sync above. - model_name: classifier litellm_params: model: hosted_vllm/granite-4.1-8b api_base: http://10.250.50.54:8004/v1 api_key: os.environ/VLLM_API_KEY model_info: mode: chat # alias: summarizer-large -> gen / qwen3.5-122-a10b (operator 2026-06-19). For heavier # summarization that wants the 122B Qwopus instead of granite-8b. Thinking OFF (matches # gen). Keep api_base (:8013) + enable_thinking in sync with the gen record below. - model_name: summarizer-large litellm_params: model: hosted_vllm/qwen3.5-122-a10b api_base: http://10.250.50.54:8013/v1 api_key: os.environ/VLLM_API_KEY presence_penalty: 1.0 extra_body: chat_template_kwargs: enable_thinking: false model_info: mode: chat # --- Qwen-Image-Bench (NVFP4) — text-to-image quality JUDGE, vision-intact. vLLM # on ana-ml2 GPU 1, :8014. REPLACED qwen3.6-35b-a3b (operator 2026-06-19; the # qwen36 VL judge was downed + its FP8 weights freed ~33GB). Multimodal — image # + prompt in, a 5-dim verdict out (overall quality / prompt match / aesthetic / # LoRA activation / confidence). image-judge is a duplicate-entry alias. # ⚠️ arbo's hero-judge was bound to qwen3.6-35b-a3b — comfy-dev notified to # repoint (different I/O than the old general VL judge). --- - model_name: qwen-image-bench litellm_params: model: hosted_vllm/qwen-image-bench api_base: http://10.250.50.54:8014/v1 api_key: os.environ/VLLM_API_KEY model_info: mode: chat - model_name: image-judge litellm_params: model: hosted_vllm/qwen-image-bench api_base: http://10.250.50.54:8014/v1 api_key: os.environ/VLLM_API_KEY model_info: mode: chat # --- Qwopus3.5-122B-A10B (Kimi-distilled, abliterated, NVFP4, VISION-INTACT) — the # general / `gen` model on ana-ml2 GPU 0. Replaced the bjk110 text-only qwen3.5-122b # 2026-06-19 (which had replaced mistral-small-4). Served on :8013 via vLLM as plain # multimodal (no text-only patch), served-name qwen3.5-122-a10b — so these records # route UNCHANGED. Full 256K (262144) @ fp8 KV + CUDA graphs (92.7 tok/s warm); # tool-calling via qwen3_coder. Thinking split = chat_template_kwargs.enable_thinking # + --reasoning-parser qwen3. One upstream fanned out under qwen3.5-122-a10b[-reasoning] # + aliases qwen-large[-reasoning] + gen[-reasoning]; -reasoning variants enable # thinking. Keep api_base in sync. # presence_penalty: 1.0 on ALL these qwen3.5-122-a10b records (+ summarizer-large # above) — anti-repetition-loop damper for the abliterated/NVFP4 tendency (operator # 2026-06-27). Gateway-tunable default (callers can override); bake the validated # value into the vLLM serving def (stacks/qwen3.5-122b, --override-generation-config) # once confirmed, to also cover direct (non-gateway) callers. # ⚠️ Worldtree CHARACTER backend (was bound to mistral-small-4) is dark until # repointed — operator-acknowledged. --- - model_name: qwen3.5-122-a10b litellm_params: model: hosted_vllm/qwen3.5-122-a10b api_base: http://10.250.50.54:8013/v1 api_key: os.environ/VLLM_API_KEY presence_penalty: 1.0 extra_body: chat_template_kwargs: enable_thinking: false model_info: mode: chat - model_name: qwen3.5-122-a10b-reasoning litellm_params: model: hosted_vllm/qwen3.5-122-a10b api_base: http://10.250.50.54:8013/v1 api_key: os.environ/VLLM_API_KEY presence_penalty: 1.0 extra_body: chat_template_kwargs: enable_thinking: true model_info: mode: chat - model_name: qwen-large litellm_params: model: hosted_vllm/qwen3.5-122-a10b api_base: http://10.250.50.54:8013/v1 api_key: os.environ/VLLM_API_KEY presence_penalty: 1.0 extra_body: chat_template_kwargs: enable_thinking: false model_info: mode: chat - model_name: qwen-large-reasoning litellm_params: model: hosted_vllm/qwen3.5-122-a10b api_base: http://10.250.50.54:8013/v1 api_key: os.environ/VLLM_API_KEY presence_penalty: 1.0 extra_body: chat_template_kwargs: enable_thinking: true model_info: mode: chat - model_name: gen litellm_params: model: hosted_vllm/qwen3.5-122-a10b api_base: http://10.250.50.54:8013/v1 api_key: os.environ/VLLM_API_KEY presence_penalty: 1.0 extra_body: chat_template_kwargs: enable_thinking: false model_info: mode: chat - model_name: gen-reasoning litellm_params: model: hosted_vllm/qwen3.5-122-a10b api_base: http://10.250.50.54:8013/v1 api_key: os.environ/VLLM_API_KEY presence_penalty: 1.0 extra_body: chat_template_kwargs: enable_thinking: true model_info: mode: chat # --- Selene 1 Mini 8B (AtlaAI judge, FP8) — restored on GPU1 after the # llama-swap teardown (was the Q6_K GGUF in the swap zoo). vLLM dynamic fp8, # :8011. Explicit entry shadows the "*" wildcard (which used to reach it via # llama-swap). Hallucination/RAG-faithfulness judge; callers set temp ~0.01. --- - model_name: selene-1-mini-8b litellm_params: model: hosted_vllm/selene-1-mini-8b api_base: http://10.250.50.54:8011/v1 api_key: os.environ/VLLM_API_KEY model_info: mode: chat # --- Qwen3 embeddings --- - model_name: qwen3-embedding litellm_params: model: hosted_vllm/Qwen/Qwen3-Embedding-0.6B api_base: http://10.250.50.54:8001/v1 api_key: os.environ/VLLM_API_KEY model_info: mode: embedding # --- Qwen3 reranker (proxy /rerank route) --- - model_name: qwen3-reranker litellm_params: model: hosted_vllm/Qwen/Qwen3-Reranker-0.6B api_base: http://10.250.50.54:8002/v1 api_key: os.environ/VLLM_API_KEY model_info: mode: rerank # --- Worldtree capability aliases (role→capability gateway swaps, ADR-0012). # Stable role-named aliases so consumers bind the CAPABILITY, not a concrete # model; swap the backing model here and callers are unaffected. NO generic # `embedding` alias ON PURPOSE — embedding vectors are model-specific (not # swap-transparent), so that capability stays `qwen3-embedding` above. --- # chat-judge → generative LLM-as-judge (Selene); WT selene-judgment role. - model_name: chat-judge litellm_params: model: hosted_vllm/selene-1-mini-8b api_base: http://10.250.50.54:8011/v1 api_key: os.environ/VLLM_API_KEY model_info: mode: chat # reranker → generic capability name for rerank (currently qwen3-reranker). - model_name: reranker litellm_params: model: hosted_vllm/Qwen/Qwen3-Reranker-0.6B api_base: http://10.250.50.54:8002/v1 api_key: os.environ/VLLM_API_KEY model_info: mode: rerank # --- z.ai GLM (cloud API) — fronted for unified logging across local # + cloud inference. Explicit entries, so they win over the "*" # wildcard below (no collision with llama-swap's glm4.7-flash etc. # — different model IDs). NOTE: paid API; only gateway-keyed callers # can reach these, but they DO spend z.ai credits. Key in .env. --- # glm-5.1: thinking DISABLED by default (2026-06-11, operator call). LiteLLM # strips a top-level `thinking` param (drop_params), but forwards `extra_body` # verbatim to z.ai, where the native thinking:{type:disabled} control lands — # verified reasoning_tokens→0. Reasoning is opt-in via glm-5.1-reasoning below. - model_name: glm-5.1 litellm_params: model: openai/glm-5.1 api_base: https://api.z.ai/api/coding/paas/v4 api_key: os.environ/Z_AI_API_KEY extra_body: thinking: type: disabled # glm-5.1-reasoning: identical upstream, thinking ENABLED (opt-in reasoning). - model_name: glm-5.1-reasoning litellm_params: model: openai/glm-5.1 api_base: https://api.z.ai/api/coding/paas/v4 api_key: os.environ/Z_AI_API_KEY extra_body: thinking: type: enabled # glm-5.2 (released ~2026-06; canonical z.ai id `glm-5.2`, confirmed via /models + # a live completion with our key). Mirrors the glm-5.1 pattern: thinking DISABLED # by default (consistency with the 2026-06-11 operator call), opt-in reasoning via # glm-5.2-reasoning. extra_body.thinking is forwarded verbatim to z.ai. - model_name: glm-5.2 litellm_params: model: openai/glm-5.2 api_base: https://api.z.ai/api/coding/paas/v4 api_key: os.environ/Z_AI_API_KEY extra_body: thinking: type: disabled - model_name: glm-5.2-reasoning litellm_params: model: openai/glm-5.2 api_base: https://api.z.ai/api/coding/paas/v4 api_key: os.environ/Z_AI_API_KEY extra_body: thinking: type: enabled # gen-frontier / gen-frontier-reasoning: capability aliases for the PAID # frontier tier (GLM 5.2 @ z.ai), mirroring glm-5.2 / glm-5.2-reasoning # (thinking off / on). Worldtree binds these for frontier-grade generation # / reasoning; swap the backing frontier model here, callers unaffected. # PAID — only all-proxy-models / explicitly-scoped keys reach them; the free # all-agents-local key is fenced off z.ai spend and cannot. - model_name: gen-frontier litellm_params: model: openai/glm-5.2 api_base: https://api.z.ai/api/coding/paas/v4 api_key: os.environ/Z_AI_API_KEY extra_body: thinking: type: disabled - model_name: gen-frontier-reasoning litellm_params: model: openai/glm-5.2 api_base: https://api.z.ai/api/coding/paas/v4 api_key: os.environ/Z_AI_API_KEY extra_body: thinking: type: enabled - model_name: glm-5-turbo litellm_params: model: openai/glm-5-turbo api_base: https://api.z.ai/api/coding/paas/v4 api_key: os.environ/Z_AI_API_KEY - model_name: glm-4.7 litellm_params: model: openai/glm-4.7 api_base: https://api.z.ai/api/coding/paas/v4 api_key: os.environ/Z_AI_API_KEY - model_name: glm-4.5-air litellm_params: model: openai/glm-4.5-air api_base: https://api.z.ai/api/coding/paas/v4 api_key: os.environ/Z_AI_API_KEY # --- (removed 2026-06-20, operator call) the `*` wildcard → llama-swap # (ana-ml2:9292). llama-swap is decommissioned (:9292 confirmed down), so # the wildcard routed every unmatched / typo'd / stale model name to a DEAD # backend → a misleading "Connection error" instead of a clean "model not # found". This is the footgun that silently swallowed Worldtree's defunct # model names. Removed so unknown models now fail loudly (404). Re-add an # explicit per-model entry if a swappable zoo ever returns. --- general_settings: master_key: os.environ/LITELLM_MASTER_KEY database_url: os.environ/DATABASE_URL store_model_in_db: true # THE log switch: persists full request messages + response bodies into # SpendLogs so they render in the Logs UI. Without this you get metadata # (tokens, latency, model) but not the prompt/completion text. store_prompts_in_spend_logs: true # scalar-judge → Skywork-Reward-V2 (scalar reward model; vLLM pooling on # ana-ml2:8003). LiteLLM has no reward/pooling MODE, so this is a passthrough, # not a model_list alias. Gateway-key-gated. Consumers POST the reward body to # /scalar-judge/ (e.g. /pooling or /classify), forwarded to :8003. # SWAP-SENSITIVE: a different reward model shifts the score scale, so consumers # must recalibrate thresholds after a backing swap. pass_through_endpoints: - path: "/scalar-judge" target: "http://10.250.50.54:8003" forward_headers: true include_subpath: true litellm_settings: # vLLM rejects some OpenAI params other backends accept; drop silently # rather than 400 the caller. drop_params: true # Custom pre-call hook: strip an empty `tools: []` (+ orphaned tool_choice) # before forwarding upstream. vLLM 400s on empty tools arrays ("tools must # not be an empty array"); drop_params doesn't catch empty VALUES, only # unsupported params. Runs on every request → fixes it for all vLLM models. # File mounted at /app/strip_empty_tools.py; reference is module.instance, # resolved relative to this config's directory. callbacks: ["strip_empty_tools.strip_empty_tools_instance"] # Langfuse trace export RETIRED 2026-06-20 (operator). Its ClickHouse member spewed # ~94 GB of unrotated logs and filled ana-docker's disk; the trace UI was redundant # with LiteLLM's native spend_logs (store_prompts_in_spend_logs: true → full # prompts/responses/tokens/cost at :4000/ui). Gateway observability stays fully # native. Re-add success_callback/failure_callback here if Langfuse ever returns.