Files
planet/backend/app/schemas/ai.py

62 lines
1.8 KiB
Python

from typing import Any
from pydantic import BaseModel, Field
class AIContentBlock(BaseModel):
type: str
text: str | None = None
thinking: str | None = None
signature: str | None = None
metadata: dict[str, Any] = Field(default_factory=dict)
class SituationalAnalysisRequest(BaseModel):
title: str = Field(..., min_length=1, max_length=200)
objective: str = Field(..., min_length=1, max_length=1000)
context: dict[str, Any] = Field(default_factory=dict)
observations: list[str] = Field(default_factory=list)
constraints: list[str] = Field(default_factory=list)
preferred_model: str | None = Field(default=None, max_length=200)
thinking: dict[str, Any] | None = None
class BGPBriefRequest(BaseModel):
incident_limit: int = Field(default=5, ge=1, le=10)
anomaly_limit: int = Field(default=6, ge=1, le=12)
collector_limit: int = Field(default=5, ge=1, le=10)
preferred_model: str | None = Field(default=None, max_length=200)
thinking: dict[str, Any] | None = None
class SituationalAnalysisResponse(BaseModel):
provider: str
model: str
content: str
content_blocks: list[AIContentBlock] = Field(default_factory=list)
text_blocks: list[str] = Field(default_factory=list)
thinking_blocks: list[str] = Field(default_factory=list)
raw_response: dict[str, Any] = Field(default_factory=dict)
class BGPBriefRecordSummary(BaseModel):
id: str
title: str
provider: str
model: str
request_id: str | None = None
generated_at: str
class BGPBriefRecordResponse(BGPBriefRecordSummary):
content_markdown: str
class AIProviderStatusResponse(BaseModel):
provider: str
api: str | None = None
enabled: bool
configured: bool
model: str | None = None
base_url: str | None = None