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MINDI 1.5 Vision-Coder — Code Generation Route
Accepts user prompts and returns generated Next.js + Tailwind + TypeScript code
via the agent orchestration pipeline.
"""
from __future__ import annotations
from typing import Optional
from fastapi import APIRouter, HTTPException
from pydantic import BaseModel, Field
router = APIRouter()
class GenerateRequest(BaseModel):
"""Request body for code generation."""
prompt: str = Field(..., min_length=1, max_length=10000, description="User's code generation prompt")
temperature: float = Field(0.7, ge=0.0, le=2.0)
max_tokens: int = Field(4096, ge=1, le=8192)
use_search: bool = Field(True, description="Enable web search for context")
use_sandbox: bool = Field(True, description="Enable sandbox testing")
use_vision: bool = Field(True, description="Enable vision-based UI critique")
class GenerateResponse(BaseModel):
"""Response body for code generation."""
code: str
language: str = "typescript"
file_path: str = "page.tsx"
critique: Optional[str] = None
search_sources: list[str] = []
iterations: int = 1
success: bool = True
@router.post("/generate", response_model=GenerateResponse)
async def generate_code(request: GenerateRequest) -> GenerateResponse:
"""Generate code from a user prompt using the MINDI agent pipeline."""
# Will be wired to AgentOrchestrator in later phases
raise HTTPException(
status_code=503,
detail="Model not loaded yet. Complete training pipeline first.",
)
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