Files
Foxel/schemas/ai.py

102 lines
3.1 KiB
Python

from typing import List, Optional
from pydantic import BaseModel, Field, field_validator
from services.ai_providers import ABILITIES, normalize_capabilities
class AIProviderBase(BaseModel):
name: str
identifier: str = Field(..., pattern=r"^[a-z0-9_\-\.]+$")
provider_type: Optional[str] = None
api_format: str
base_url: Optional[str] = None
api_key: Optional[str] = None
logo_url: Optional[str] = None
extra_config: Optional[dict] = None
@field_validator("api_format")
def normalize_format(cls, value: str) -> str:
fmt = value.lower()
if fmt not in {"openai", "gemini"}:
raise ValueError("api_format must be 'openai' or 'gemini'")
return fmt
class AIProviderCreate(AIProviderBase):
pass
class AIProviderUpdate(BaseModel):
name: Optional[str] = None
provider_type: Optional[str] = None
api_format: Optional[str] = None
base_url: Optional[str] = None
api_key: Optional[str] = None
logo_url: Optional[str] = None
extra_config: Optional[dict] = None
@field_validator("api_format")
def normalize_format(cls, value: Optional[str]) -> Optional[str]:
if value is None:
return value
fmt = value.lower()
if fmt not in {"openai", "gemini"}:
raise ValueError("api_format must be 'openai' or 'gemini'")
return fmt
class AIModelBase(BaseModel):
name: str
display_name: Optional[str] = None
description: Optional[str] = None
capabilities: Optional[List[str]] = None
context_window: Optional[int] = None
embedding_dimensions: Optional[int] = None
metadata: Optional[dict] = None
@field_validator("capabilities")
def validate_capabilities(cls, items: Optional[List[str]]) -> Optional[List[str]]:
if items is None:
return None
normalized = normalize_capabilities(items)
invalid = set(items) - set(normalized)
if invalid:
raise ValueError(f"Unsupported capabilities: {', '.join(invalid)}")
return normalized
class AIModelCreate(AIModelBase):
pass
class AIModelUpdate(BaseModel):
display_name: Optional[str] = None
description: Optional[str] = None
capabilities: Optional[List[str]] = None
context_window: Optional[int] = None
embedding_dimensions: Optional[int] = None
metadata: Optional[dict] = None
@field_validator("capabilities")
def validate_capabilities(cls, items: Optional[List[str]]) -> Optional[List[str]]:
if items is None:
return None
normalized = normalize_capabilities(items)
invalid = set(items) - set(normalized)
if invalid:
raise ValueError(f"Unsupported capabilities: {', '.join(invalid)}")
return normalized
class AIDefaultsUpdate(BaseModel):
chat: Optional[int] = None
vision: Optional[int] = None
embedding: Optional[int] = None
rerank: Optional[int] = None
voice: Optional[int] = None
tools: Optional[int] = None
def as_mapping(self) -> dict:
return {ability: getattr(self, ability) for ability in ABILITIES}