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contracts/assumption_v1.py

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+from pydantic import BaseModel, Field, ConfigDict
+from typing import List, Optional
+
+class AssumptionV1(BaseModel):
+    model_config = ConfigDict(extra='forbid', frozen=True, strict=True)
+    assumption_id: str
+    text: str
+    level: int = Field(ge=1, le=3, description="1=observed,2=educated,3=strategic")
+    confidence: float = Field(ge=0.0, le=1.0)
+    evidence: List[str] = []
+    validation_exp_id: Optional[str] = None

contracts/innovation_layer_v1.py

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+from pydantic import BaseModel, ConfigDict
+class InnovationLayerV1(BaseModel):
+    model_config = ConfigDict(extra='forbid', frozen=True, strict=True)
+    layer_id: str
+    type: str
+    trigger: str
+    effect: str

contracts/job_v1.py

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+from pydantic import BaseModel, ConfigDict
+from typing import Dict, List
+
+class JobV1(BaseModel):
+    model_config = ConfigDict(extra='forbid', frozen=True, strict=True)
+    job_id: str
+    statement: str
+    forces: Dict[str, List[str]]  # push/pull/anxiety/inertia

contracts/scorecard_v1.py

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+from pydantic import BaseModel, Field, ConfigDict
+from typing import List
+
+class Criterion(BaseModel):
+    name: str
+    score: float = Field(ge=0, le=10)
+    rationale: str
+
+class ScorecardV1(BaseModel):
+    model_config = ConfigDict(extra='forbid', frozen=True, strict=True)
+    target_id: str
+    scheme: str = "v1"
+    criteria: List[Criterion]
+    total: float = Field(ge=0, le=10)