Files
Business-Management/features/ai-service/app/schemas/chat.py
T
curo1305 88c1ea297e Add shared ai-service container as AI provider intermediary
All feature containers now POST messages to ai-service (port 8010) instead
of calling AI providers directly. ai-service routes to LM Studio, Ollama,
or Anthropic based on /config/ai_service_config.json. doc-service AI
providers removed; replaced by httpx ai_client.py. Backend settings
restructured to /api/settings/ai. Frontend gets dedicated AIAdminSettingsPage
and AI Service card in AppsPage.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-14 12:30:45 +02:00

31 lines
699 B
Python

from typing import Literal
from pydantic import BaseModel, field_validator
class ChatMessage(BaseModel):
role: Literal["system", "user", "assistant"]
content: str
class ChatRequest(BaseModel):
messages: list[ChatMessage]
max_tokens: int = 2048
temperature: float = 0.0
response_format: Literal["json", "text"] = "text"
@field_validator("messages")
@classmethod
def messages_not_empty(cls, v: list) -> list:
if not v:
raise ValueError("messages must not be empty")
return v
class ChatResponse(BaseModel):
content: str
provider: str
model: str
input_tokens: int | None = None
output_tokens: int | None = None