mirror of
https://github.com/wassname/openrouter-python-sdk-retry-errors.git
synced 2026-08-01 12:40:23 +08:00
305 lines
8.7 KiB
Python
305 lines
8.7 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 .chatstreamoptions import ChatStreamOptions, ChatStreamOptionsTypedDict
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from .message import Message, MessageTypedDict
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from .reasoningsummaryverbosity import ReasoningSummaryVerbosity
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from .responseformatjsonschema import (
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ResponseFormatJSONSchema,
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ResponseFormatJSONSchemaTypedDict,
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)
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from .responseformattextgrammar import (
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ResponseFormatTextGrammar,
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ResponseFormatTextGrammarTypedDict,
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)
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from .tooldefinitionjson import ToolDefinitionJSON, ToolDefinitionJSONTypedDict
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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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UnrecognizedStr,
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)
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from openrouter.utils import get_discriminator, validate_const, validate_open_enum
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import pydantic
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from pydantic import Discriminator, Tag, model_serializer
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from pydantic.functional_validators import AfterValidator, PlainValidator
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from typing import Any, Dict, List, Literal, Optional, Union
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from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
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Effort = Union[
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Literal[
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"none",
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"minimal",
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"low",
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"medium",
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"high",
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],
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UnrecognizedStr,
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]
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class ReasoningTypedDict(TypedDict):
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effort: NotRequired[Nullable[Effort]]
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summary: NotRequired[Nullable[ReasoningSummaryVerbosity]]
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class Reasoning(BaseModel):
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effort: Annotated[
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OptionalNullable[Effort], PlainValidator(validate_open_enum(False))
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] = UNSET
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summary: Annotated[
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OptionalNullable[ReasoningSummaryVerbosity],
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PlainValidator(validate_open_enum(False)),
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] = UNSET
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = ["effort", "summary"]
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nullable_fields = ["effort", "summary"]
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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 ChatGenerationParamsResponseFormatPythonTypedDict(TypedDict):
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type: Literal["python"]
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class ChatGenerationParamsResponseFormatPython(BaseModel):
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TYPE: Annotated[
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Annotated[Literal["python"], AfterValidator(validate_const("python"))],
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pydantic.Field(alias="type"),
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] = "python"
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class ChatGenerationParamsResponseFormatJSONObjectTypedDict(TypedDict):
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type: Literal["json_object"]
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class ChatGenerationParamsResponseFormatJSONObject(BaseModel):
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TYPE: Annotated[
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Annotated[
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Literal["json_object"], AfterValidator(validate_const("json_object"))
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],
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pydantic.Field(alias="type"),
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] = "json_object"
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class ChatGenerationParamsResponseFormatTextTypedDict(TypedDict):
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type: Literal["text"]
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class ChatGenerationParamsResponseFormatText(BaseModel):
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TYPE: Annotated[
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Annotated[Literal["text"], AfterValidator(validate_const("text"))],
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pydantic.Field(alias="type"),
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] = "text"
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ChatGenerationParamsResponseFormatUnionTypedDict = TypeAliasType(
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"ChatGenerationParamsResponseFormatUnionTypedDict",
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Union[
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ChatGenerationParamsResponseFormatTextTypedDict,
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ChatGenerationParamsResponseFormatJSONObjectTypedDict,
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ChatGenerationParamsResponseFormatPythonTypedDict,
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ResponseFormatJSONSchemaTypedDict,
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ResponseFormatTextGrammarTypedDict,
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],
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)
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ChatGenerationParamsResponseFormatUnion = Annotated[
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Union[
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Annotated[ChatGenerationParamsResponseFormatText, Tag("text")],
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Annotated[ChatGenerationParamsResponseFormatJSONObject, Tag("json_object")],
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Annotated[ResponseFormatJSONSchema, Tag("json_schema")],
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Annotated[ResponseFormatTextGrammar, Tag("grammar")],
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Annotated[ChatGenerationParamsResponseFormatPython, Tag("python")],
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],
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Discriminator(lambda m: get_discriminator(m, "type", "type")),
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]
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ChatGenerationParamsStopTypedDict = TypeAliasType(
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"ChatGenerationParamsStopTypedDict", Union[str, List[str]]
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)
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ChatGenerationParamsStop = TypeAliasType(
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"ChatGenerationParamsStop", Union[str, List[str]]
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)
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class DebugTypedDict(TypedDict):
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echo_upstream_body: NotRequired[bool]
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class Debug(BaseModel):
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echo_upstream_body: Optional[bool] = None
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class ChatGenerationParamsTypedDict(TypedDict):
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messages: List[MessageTypedDict]
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model: NotRequired[str]
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models: NotRequired[List[str]]
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frequency_penalty: NotRequired[Nullable[float]]
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logit_bias: NotRequired[Nullable[Dict[str, float]]]
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logprobs: NotRequired[Nullable[bool]]
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top_logprobs: NotRequired[Nullable[float]]
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max_completion_tokens: NotRequired[Nullable[float]]
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max_tokens: NotRequired[Nullable[float]]
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metadata: NotRequired[Dict[str, str]]
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presence_penalty: NotRequired[Nullable[float]]
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reasoning: NotRequired[ReasoningTypedDict]
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response_format: NotRequired[ChatGenerationParamsResponseFormatUnionTypedDict]
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seed: NotRequired[Nullable[int]]
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stop: NotRequired[Nullable[ChatGenerationParamsStopTypedDict]]
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stream: NotRequired[bool]
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stream_options: NotRequired[Nullable[ChatStreamOptionsTypedDict]]
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temperature: NotRequired[Nullable[float]]
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tool_choice: NotRequired[Any]
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tools: NotRequired[List[ToolDefinitionJSONTypedDict]]
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top_p: NotRequired[Nullable[float]]
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user: NotRequired[str]
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debug: NotRequired[DebugTypedDict]
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class ChatGenerationParams(BaseModel):
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messages: List[Message]
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model: Optional[str] = None
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models: Optional[List[str]] = None
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frequency_penalty: OptionalNullable[float] = UNSET
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logit_bias: OptionalNullable[Dict[str, float]] = UNSET
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logprobs: OptionalNullable[bool] = UNSET
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top_logprobs: OptionalNullable[float] = UNSET
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max_completion_tokens: OptionalNullable[float] = UNSET
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max_tokens: OptionalNullable[float] = UNSET
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metadata: Optional[Dict[str, str]] = None
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presence_penalty: OptionalNullable[float] = UNSET
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reasoning: Optional[Reasoning] = None
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response_format: Optional[ChatGenerationParamsResponseFormatUnion] = None
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seed: OptionalNullable[int] = UNSET
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stop: OptionalNullable[ChatGenerationParamsStop] = UNSET
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stream: Optional[bool] = False
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stream_options: OptionalNullable[ChatStreamOptions] = UNSET
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temperature: OptionalNullable[float] = UNSET
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tool_choice: Optional[Any] = None
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tools: Optional[List[ToolDefinitionJSON]] = None
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top_p: OptionalNullable[float] = UNSET
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user: Optional[str] = None
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debug: Optional[Debug] = None
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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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"model",
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"models",
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"frequency_penalty",
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"logit_bias",
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"logprobs",
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"top_logprobs",
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"max_completion_tokens",
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"max_tokens",
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"metadata",
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"presence_penalty",
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"reasoning",
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"response_format",
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"seed",
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"stop",
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"stream",
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"stream_options",
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"temperature",
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"tool_choice",
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"tools",
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"top_p",
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"user",
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"debug",
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]
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nullable_fields = [
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"frequency_penalty",
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"logit_bias",
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"logprobs",
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"top_logprobs",
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"max_completion_tokens",
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"max_tokens",
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"presence_penalty",
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"seed",
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"stop",
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"stream_options",
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"temperature",
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"top_p",
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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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