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openrouter-python-sdk-retry…/src/openrouter/components/unifiedbenchmarksaaitem.py
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Python

"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from .unifiedbenchmarkpricing import (
UnifiedBenchmarkPricing,
UnifiedBenchmarkPricingTypedDict,
)
from openrouter.types import BaseModel, Nullable, UNSET_SENTINEL
from pydantic import model_serializer
from typing import Literal
from typing_extensions import TypedDict
UnifiedBenchmarksAAItemSource = Literal["artificial-analysis",]
r"""Benchmark source discriminator."""
class UnifiedBenchmarksAAItemTypedDict(TypedDict):
agentic_index: Nullable[float]
r"""Artificial Analysis Agentic Index composite score. Higher is better."""
coding_index: Nullable[float]
r"""Artificial Analysis Coding Index composite score. Higher is better."""
display_name: str
r"""Model name as listed on Artificial Analysis."""
intelligence_index: Nullable[float]
r"""Artificial Analysis Intelligence Index composite score. Higher is better."""
model_permaslug: str
r"""Stable OpenRouter model identifier."""
pricing: Nullable[UnifiedBenchmarkPricingTypedDict]
r"""OpenRouter pricing per token for this model. Null if pricing is unavailable."""
source: UnifiedBenchmarksAAItemSource
r"""Benchmark source discriminator."""
class UnifiedBenchmarksAAItem(BaseModel):
agentic_index: Nullable[float]
r"""Artificial Analysis Agentic Index composite score. Higher is better."""
coding_index: Nullable[float]
r"""Artificial Analysis Coding Index composite score. Higher is better."""
display_name: str
r"""Model name as listed on Artificial Analysis."""
intelligence_index: Nullable[float]
r"""Artificial Analysis Intelligence Index composite score. Higher is better."""
model_permaslug: str
r"""Stable OpenRouter model identifier."""
pricing: Nullable[UnifiedBenchmarkPricing]
r"""OpenRouter pricing per token for this model. Null if pricing is unavailable."""
source: UnifiedBenchmarksAAItemSource
r"""Benchmark source discriminator."""
@model_serializer(mode="wrap")
def serialize_model(self, handler):
serialized = handler(self)
m = {}
for n, f in type(self).model_fields.items():
k = f.alias or n
val = serialized.get(k, serialized.get(n))
if val != UNSET_SENTINEL:
m[k] = val
return m