core: Policy, Pflege-Agent (HITL), Healer, Lifecycle-Pipeline, Graduierung + Konfiguration

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-12 00:43:26 +02:00
parent f79e2a8556
commit f2da893f71
28 changed files with 2179 additions and 10 deletions
@@ -0,0 +1,76 @@
+# Registry für den Cluster "knaster" (SPEC-core §1).
+# Clients sprechen nur Slot-Namen an; litellm_model ist der Alias in deploy/litellm/config.yaml.
+slots:
+  tier0-strong:
+    tier: 0
+    device: external
+    engine: openrouter
+    litellm_model: tier0-strong
+    base_model: openrouter-strong       # konkretes Modell steht nur in der LiteLLM-Konfiguration
+    max_context: 200000
+    effective_context: 120000
+
+  tier1-general:
+    tier: 1
+    device: gpu
+    engine: vllm
+    node: gpu-main                       # RTX 4000 Ada #1
+    litellm_model: tier1-general
+    base_model: qwen3-14b-awq            # Startkandidat, Entscheidung per Kalibrierungslauf
+    max_context: 32768
+    effective_context: 16384
+    supports_lora: true
+    fallbacks: [tier1-flex]
+
+  tier1-flex:
+    tier: 1
+    device: gpu
+    engine: vllm
+    node: gpu-flex                       # RTX 4000 Ada #2 (nachts Training → unavailable)
+    litellm_model: tier1-flex
+    base_model: qwen3-14b-awq
+    max_context: 32768
+    effective_context: 16384
+    supports_lora: true
+
+  verifier-small:
+    tier: 1
+    device: gpu
+    engine: llamacpp
+    node: gpu-small                      # Quadro M4000 (Nutzen per Benchmark prüfen)
+    litellm_model: verifier-small
+    base_model: qwen3-4b-q4km
+    max_context: 8192
+    effective_context: 6144
+
+  signature-extractor:
+    tier: 1
+    device: gpu
+    engine: llamacpp
+    node: gpu-small
+    litellm_model: signature-extractor
+    base_model: qwen3-4b-q4km
+    max_context: 8192
+    effective_context: 6144
+
+  embed-default:
+    tier: 1
+    device: gpu
+    engine: llamacpp
+    node: gpu-embed                      # Quadro P2000
+    litellm_model: embed-default
+    base_model: qwen3-embedding-0.6b-q8
+    max_context: 8192
+    kind: embedding
+
+  rerank-default:
+    tier: 1
+    device: gpu
+    engine: llamacpp
+    node: gpu-embed
+    litellm_model: rerank-default
+    base_model: bge-reranker-v2-m3-q8
+    max_context: 8192
+    kind: rerank
+
+adapters: []