mirror of
https://github.com/wassname/openrouter-python-sdk-retry-errors.git
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* `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.chat.send()`: `response` **Changed** * `open_router.embeddings.generate()`: `response.usage` **Changed** * `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**
272 lines
9.0 KiB
Python
272 lines
9.0 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 .costdetails import CostDetails, CostDetailsTypedDict
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from openrouter.types import (
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BaseModel,
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Nullable,
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OptionalNullable,
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UNSET,
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UNSET_SENTINEL,
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)
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from pydantic import model_serializer
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from typing import Optional
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from typing_extensions import NotRequired, TypedDict
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class CompletionTokensDetailsTypedDict(TypedDict):
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r"""Detailed completion token usage"""
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accepted_prediction_tokens: NotRequired[Nullable[int]]
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r"""Accepted prediction tokens"""
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audio_tokens: NotRequired[Nullable[int]]
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r"""Tokens used for audio output"""
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reasoning_tokens: NotRequired[Nullable[int]]
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r"""Tokens used for reasoning"""
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rejected_prediction_tokens: NotRequired[Nullable[int]]
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r"""Rejected prediction tokens"""
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class CompletionTokensDetails(BaseModel):
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r"""Detailed completion token usage"""
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accepted_prediction_tokens: OptionalNullable[int] = UNSET
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r"""Accepted prediction tokens"""
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audio_tokens: OptionalNullable[int] = UNSET
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r"""Tokens used for audio output"""
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reasoning_tokens: OptionalNullable[int] = UNSET
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r"""Tokens used for reasoning"""
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rejected_prediction_tokens: OptionalNullable[int] = UNSET
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r"""Rejected prediction tokens"""
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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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"accepted_prediction_tokens",
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"audio_tokens",
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"reasoning_tokens",
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"rejected_prediction_tokens",
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]
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nullable_fields = [
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"accepted_prediction_tokens",
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"audio_tokens",
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"reasoning_tokens",
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"rejected_prediction_tokens",
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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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class PromptTokensDetailsTypedDict(TypedDict):
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r"""Detailed prompt token usage"""
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audio_tokens: NotRequired[int]
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r"""Audio input tokens"""
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cache_write_tokens: NotRequired[int]
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r"""Tokens written to cache. Only returned for models with explicit caching and cache write pricing."""
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cached_tokens: NotRequired[int]
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r"""Cached prompt tokens"""
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video_tokens: NotRequired[int]
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r"""Video input tokens"""
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class PromptTokensDetails(BaseModel):
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r"""Detailed prompt token usage"""
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audio_tokens: Optional[int] = None
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r"""Audio input tokens"""
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cache_write_tokens: Optional[int] = None
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r"""Tokens written to cache. Only returned for models with explicit caching and cache write pricing."""
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cached_tokens: Optional[int] = None
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r"""Cached prompt tokens"""
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video_tokens: Optional[int] = None
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r"""Video input tokens"""
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class ServerToolUseDetailsTypedDict(TypedDict):
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r"""Usage for server-side tool execution (e.g., web search)"""
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tool_calls_executed: NotRequired[Nullable[int]]
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r"""Number of OpenRouter server tool calls that executed and produced a result"""
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tool_calls_requested: NotRequired[Nullable[int]]
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r"""Total number of OpenRouter server-orchestrated tool calls the model requested, across all tool types. Provider-native tools (e.g. native web search) are not counted here."""
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web_search_requests: NotRequired[Nullable[int]]
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r"""Number of web searches performed by server-side tools. For server-orchestrated tool calls a web search is also counted in tool_calls_requested; provider-native web search may report web_search_requests only. Do not sum the two."""
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class ServerToolUseDetails(BaseModel):
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r"""Usage for server-side tool execution (e.g., web search)"""
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tool_calls_executed: OptionalNullable[int] = UNSET
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r"""Number of OpenRouter server tool calls that executed and produced a result"""
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tool_calls_requested: OptionalNullable[int] = UNSET
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r"""Total number of OpenRouter server-orchestrated tool calls the model requested, across all tool types. Provider-native tools (e.g. native web search) are not counted here."""
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web_search_requests: OptionalNullable[int] = UNSET
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r"""Number of web searches performed by server-side tools. For server-orchestrated tool calls a web search is also counted in tool_calls_requested; provider-native web search may report web_search_requests only. Do not sum the two."""
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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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"tool_calls_executed",
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"tool_calls_requested",
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"web_search_requests",
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]
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nullable_fields = [
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"tool_calls_executed",
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"tool_calls_requested",
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"web_search_requests",
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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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class ChatUsageTypedDict(TypedDict):
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r"""Token usage statistics"""
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completion_tokens: int
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r"""Number of tokens in the completion"""
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prompt_tokens: int
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r"""Number of tokens in the prompt"""
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total_tokens: int
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r"""Total number of tokens"""
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completion_tokens_details: NotRequired[Nullable[CompletionTokensDetailsTypedDict]]
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r"""Detailed completion token usage"""
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cost: NotRequired[Nullable[float]]
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r"""Cost of the completion"""
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cost_details: NotRequired[Nullable[CostDetailsTypedDict]]
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r"""Breakdown of upstream inference costs"""
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is_byok: NotRequired[bool]
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r"""Whether a request was made using a Bring Your Own Key configuration"""
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prompt_tokens_details: NotRequired[Nullable[PromptTokensDetailsTypedDict]]
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r"""Detailed prompt token usage"""
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server_tool_use_details: NotRequired[Nullable[ServerToolUseDetailsTypedDict]]
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r"""Usage for server-side tool execution (e.g., web search)"""
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class ChatUsage(BaseModel):
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r"""Token usage statistics"""
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completion_tokens: int
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r"""Number of tokens in the completion"""
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prompt_tokens: int
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r"""Number of tokens in the prompt"""
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total_tokens: int
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r"""Total number of tokens"""
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completion_tokens_details: OptionalNullable[CompletionTokensDetails] = UNSET
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r"""Detailed completion token usage"""
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cost: OptionalNullable[float] = UNSET
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r"""Cost of the completion"""
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cost_details: OptionalNullable[CostDetails] = UNSET
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r"""Breakdown of upstream inference costs"""
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is_byok: Optional[bool] = None
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r"""Whether a request was made using a Bring Your Own Key configuration"""
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prompt_tokens_details: OptionalNullable[PromptTokensDetails] = UNSET
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r"""Detailed prompt token usage"""
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server_tool_use_details: OptionalNullable[ServerToolUseDetails] = UNSET
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r"""Usage for server-side tool execution (e.g., web search)"""
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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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"completion_tokens_details",
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"cost",
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"cost_details",
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"is_byok",
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"prompt_tokens_details",
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"server_tool_use_details",
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]
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nullable_fields = [
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"completion_tokens_details",
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"cost",
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"cost_details",
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"prompt_tokens_details",
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"server_tool_use_details",
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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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