85 lines
1.9 KiB
Python
85 lines
1.9 KiB
Python
"""Model Comparator Router"""
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from fastapi import APIRouter
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from pydantic import BaseModel
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from typing import Optional
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router = APIRouter()
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class CompareRequest(BaseModel):
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prompt: str
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models: list[str]
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temperature: float = 0.7
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max_tokens: int = 500
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class ModelResponse(BaseModel):
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model: str
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response: str
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latency_ms: float
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tokens_used: int
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estimated_cost: float
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class CompareResult(BaseModel):
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prompt: str
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responses: list[ModelResponse]
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fastest: str
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cheapest: str
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quality_scores: Optional[dict] = None
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class EvalRequest(BaseModel):
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prompt: str
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responses: dict # model -> response
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criteria: list[str] = ["coherence", "accuracy", "relevance", "helpfulness"]
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@router.post("/run", response_model=CompareResult)
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async def compare_models(request: CompareRequest):
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"""Run a prompt against multiple models and compare"""
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# TODO: Implement model comparison
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return CompareResult(
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prompt=request.prompt,
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responses=[],
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fastest="",
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cheapest=""
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)
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@router.post("/evaluate")
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async def evaluate_responses(request: EvalRequest):
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"""Evaluate and score model responses"""
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# TODO: Implement response evaluation
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return {
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"scores": {},
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"winner": None,
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"analysis": ""
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}
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@router.get("/benchmarks")
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async def list_benchmarks():
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"""List available benchmark prompts"""
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return {
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"benchmarks": [
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{"name": "general_qa", "prompts": 10},
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{"name": "coding", "prompts": 15},
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{"name": "creative_writing", "prompts": 8},
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{"name": "reasoning", "prompts": 12},
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]
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}
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@router.post("/benchmark/{benchmark_name}")
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async def run_benchmark(
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benchmark_name: str,
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models: list[str]
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):
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"""Run a full benchmark suite against models"""
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# TODO: Implement benchmark running
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return {
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"benchmark": benchmark_name,
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"results": {},
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"summary": ""
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}
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