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Separate agent tuning from model setup

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This commit is contained in:
Nelson
2026-07-07 13:31:20 +08:00
parent dada4aafcd
commit da262f4596
10 changed files with 518 additions and 76 deletions
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13
ai_knowledge_base_v2/apps/backend/app/schemas/admin.py
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@@ -51,6 +51,19 @@ class PromptSaveRequest(BaseModel):
promptContent: str = Field(min_length=1)
class AgentDebugRequest(BaseModel):
promptContent: str = Field(min_length=1)
modelId: int = Field(gt=0)
knowledgeIds: list[int] = Field(default_factory=list)
question: str = Field(min_length=1, max_length=2000)
temperature: float | None = Field(default=None, ge=0, le=2)
topP: float | None = Field(default=None, ge=0, le=1)
topK: int | None = Field(default=None, ge=1, le=1000)
presencePenalty: float | None = Field(default=None, ge=-2, le=2)
frequencyPenalty: float | None = Field(default=None, ge=-2, le=2)
maxToken: int | None = Field(default=1024, ge=1, le=100000)
class ModelSaveRequest(BaseModel):
provider: str = Field(min_length=1, max_length=50)
displayName: str | None = Field(default=None, max_length=100)