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https://github.com/wassname/openrouter-python-sdk-retry-errors.git
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66b020ff43
* `open_router.benchmarks.get_benchmarks()`: **Added** * `open_router.datasets.get_benchmarks_artificial_analysis()`: **Deleted** **Breaking** ⚠️ * `open_router.datasets.get_benchmarks_design_arena()`: **Deleted** **Breaking** ⚠️ * `open_router.embeddings.list_models()`: `response.data.[].reasoning` **Added** * `open_router.models.get()`: `response.data.reasoning` **Added** * `open_router.models.list()`: `response.data.[].reasoning` **Added** * `open_router.models.list_for_user()`: `response.data.[].reasoning` **Added**
91 lines
3.0 KiB
Python
91 lines
3.0 KiB
Python
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
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from __future__ import annotations
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from .unifiedbenchmarkpricing import (
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UnifiedBenchmarkPricing,
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UnifiedBenchmarkPricingTypedDict,
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)
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from openrouter.types import BaseModel, Nullable, UNSET_SENTINEL
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from pydantic import model_serializer
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from typing import Literal
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from typing_extensions import TypedDict
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UnifiedBenchmarksAAItemSource = Literal["artificial-analysis",]
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r"""Benchmark source discriminator."""
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class UnifiedBenchmarksAAItemTypedDict(TypedDict):
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agentic_index: Nullable[float]
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r"""Artificial Analysis Agentic Index composite score. Higher is better."""
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coding_index: Nullable[float]
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r"""Artificial Analysis Coding Index composite score. Higher is better."""
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display_name: str
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r"""Model name as listed on Artificial Analysis."""
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intelligence_index: Nullable[float]
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r"""Artificial Analysis Intelligence Index composite score. Higher is better."""
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model_permaslug: str
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r"""Stable OpenRouter model identifier."""
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pricing: Nullable[UnifiedBenchmarkPricingTypedDict]
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r"""OpenRouter pricing per token for this model. Null if pricing is unavailable."""
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source: UnifiedBenchmarksAAItemSource
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r"""Benchmark source discriminator."""
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class UnifiedBenchmarksAAItem(BaseModel):
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agentic_index: Nullable[float]
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r"""Artificial Analysis Agentic Index composite score. Higher is better."""
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coding_index: Nullable[float]
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r"""Artificial Analysis Coding Index composite score. Higher is better."""
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display_name: str
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r"""Model name as listed on Artificial Analysis."""
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intelligence_index: Nullable[float]
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r"""Artificial Analysis Intelligence Index composite score. Higher is better."""
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model_permaslug: str
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r"""Stable OpenRouter model identifier."""
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pricing: Nullable[UnifiedBenchmarkPricing]
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r"""OpenRouter pricing per token for this model. Null if pricing is unavailable."""
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source: UnifiedBenchmarksAAItemSource
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r"""Benchmark source discriminator."""
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = []
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nullable_fields = [
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"agentic_index",
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"coding_index",
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"intelligence_index",
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"pricing",
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]
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null_default_fields = []
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serialized = handler(self)
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m = {}
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for n, f in type(self).model_fields.items():
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k = f.alias or n
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val = serialized.get(k)
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serialized.pop(k, None)
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optional_nullable = k in optional_fields and k in nullable_fields
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is_set = (
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self.__pydantic_fields_set__.intersection({n})
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or k in null_default_fields
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) # pylint: disable=no-member
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if val is not None and val != UNSET_SENTINEL:
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m[k] = val
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elif val != UNSET_SENTINEL and (
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not k in optional_fields or (optional_nullable and is_set)
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):
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m[k] = val
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return m
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