mirror of
https://github.com/wassname/openrouter-python-sdk-retry-errors.git
synced 2026-07-30 12:20:57 +08:00
fixes
This commit is contained in:
Matt Apperson
File diff suppressed because it is too large
Load Diff
@@ -1,66 +0,0 @@
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"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
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from __future__ import annotations
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from openrouter.types import BaseModel
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import pydantic
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from typing_extensions import Annotated, TypedDict
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class ActivityItemTypedDict(TypedDict):
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date_: str
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r"""Date of the activity (YYYY-MM-DD format)"""
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model: str
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r"""Model slug (e.g., \"openai/gpt-4.1\")"""
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model_permaslug: str
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r"""Model permaslug (e.g., \"openai/gpt-4.1-2025-04-14\")"""
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endpoint_id: str
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r"""Unique identifier for the endpoint"""
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provider_name: str
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r"""Name of the provider serving this endpoint"""
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usage: float
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r"""Total cost in USD (OpenRouter credits spent)"""
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byok_usage_inference: float
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r"""BYOK inference cost in USD (external credits spent)"""
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requests: float
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r"""Number of requests made"""
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prompt_tokens: float
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r"""Total prompt tokens used"""
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completion_tokens: float
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r"""Total completion tokens generated"""
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reasoning_tokens: float
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r"""Total reasoning tokens used"""
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class ActivityItem(BaseModel):
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date_: Annotated[str, pydantic.Field(alias="date")]
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r"""Date of the activity (YYYY-MM-DD format)"""
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model: str
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r"""Model slug (e.g., \"openai/gpt-4.1\")"""
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model_permaslug: str
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r"""Model permaslug (e.g., \"openai/gpt-4.1-2025-04-14\")"""
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endpoint_id: str
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r"""Unique identifier for the endpoint"""
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provider_name: str
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r"""Name of the provider serving this endpoint"""
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usage: float
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r"""Total cost in USD (OpenRouter credits spent)"""
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byok_usage_inference: float
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r"""BYOK inference cost in USD (external credits spent)"""
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requests: float
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r"""Number of requests made"""
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prompt_tokens: float
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r"""Total prompt tokens used"""
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completion_tokens: float
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r"""Total completion tokens generated"""
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reasoning_tokens: float
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r"""Total reasoning tokens used"""
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@@ -1,88 +0,0 @@
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"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
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from __future__ import annotations
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from .chatmessagecontentitem import (
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ChatMessageContentItem,
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ChatMessageContentItemTypedDict,
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)
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from .chatmessagetoolcall import ChatMessageToolCall, ChatMessageToolCallTypedDict
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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 openrouter.utils import validate_const
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import pydantic
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from pydantic import model_serializer
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from pydantic.functional_validators import AfterValidator
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from typing import List, Literal, Optional, Union
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from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
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AssistantMessageContentTypedDict = TypeAliasType(
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"AssistantMessageContentTypedDict",
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Union[str, List[ChatMessageContentItemTypedDict]],
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)
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AssistantMessageContent = TypeAliasType(
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"AssistantMessageContent", Union[str, List[ChatMessageContentItem]]
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)
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class AssistantMessageTypedDict(TypedDict):
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role: Literal["assistant"]
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content: NotRequired[Nullable[AssistantMessageContentTypedDict]]
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name: NotRequired[str]
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tool_calls: NotRequired[List[ChatMessageToolCallTypedDict]]
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refusal: NotRequired[Nullable[str]]
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reasoning: NotRequired[Nullable[str]]
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class AssistantMessage(BaseModel):
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ROLE: Annotated[
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Annotated[Literal["assistant"], AfterValidator(validate_const("assistant"))],
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pydantic.Field(alias="role"),
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] = "assistant"
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content: OptionalNullable[AssistantMessageContent] = UNSET
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name: Optional[str] = None
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tool_calls: Optional[List[ChatMessageToolCall]] = None
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refusal: OptionalNullable[str] = UNSET
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reasoning: OptionalNullable[str] = UNSET
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = ["content", "name", "tool_calls", "refusal", "reasoning"]
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nullable_fields = ["content", "refusal", "reasoning"]
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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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@@ -1,61 +0,0 @@
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"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
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from __future__ import annotations
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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 Any, Dict
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from typing_extensions import NotRequired, TypedDict
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class BadGatewayResponseErrorDataTypedDict(TypedDict):
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r"""Error data for BadGatewayResponse"""
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code: int
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message: str
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metadata: NotRequired[Nullable[Dict[str, Nullable[Any]]]]
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class BadGatewayResponseErrorData(BaseModel):
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r"""Error data for BadGatewayResponse"""
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code: int
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message: str
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metadata: OptionalNullable[Dict[str, Nullable[Any]]] = UNSET
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = ["metadata"]
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nullable_fields = ["metadata"]
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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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@@ -1,61 +0,0 @@
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"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
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from __future__ import annotations
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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 Any, Dict
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from typing_extensions import NotRequired, TypedDict
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class BadRequestResponseErrorDataTypedDict(TypedDict):
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r"""Error data for BadRequestResponse"""
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code: int
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message: str
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metadata: NotRequired[Nullable[Dict[str, Nullable[Any]]]]
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class BadRequestResponseErrorData(BaseModel):
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r"""Error data for BadRequestResponse"""
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code: int
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message: str
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metadata: OptionalNullable[Dict[str, Nullable[Any]]] = UNSET
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = ["metadata"]
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nullable_fields = ["metadata"]
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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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@@ -1,17 +0,0 @@
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"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
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from __future__ import annotations
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from openrouter.types import UnrecognizedStr
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from typing import Literal, Union
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ChatCompletionFinishReason = Union[
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Literal[
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"tool_calls",
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"stop",
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"length",
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"content_filter",
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"error",
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],
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UnrecognizedStr,
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]
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@@ -1,66 +0,0 @@
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"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
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from __future__ import annotations
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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 Union
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from typing_extensions import NotRequired, TypeAliasType, TypedDict
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CodeTypedDict = TypeAliasType("CodeTypedDict", Union[str, float])
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Code = TypeAliasType("Code", Union[str, float])
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class ChatErrorErrorTypedDict(TypedDict):
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code: Nullable[CodeTypedDict]
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message: str
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param: NotRequired[Nullable[str]]
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type: NotRequired[Nullable[str]]
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class ChatErrorError(BaseModel):
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code: Nullable[Code]
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message: str
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param: OptionalNullable[str] = UNSET
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type: OptionalNullable[str] = UNSET
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = ["param", "type"]
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nullable_fields = ["code", "param", "type"]
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null_default_fields = []
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serialized = handler(self)
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m = {}
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|
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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
|
||||
) # 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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@@ -1,291 +0,0 @@
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||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
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
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
UnrecognizedStr,
|
||||
)
|
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from openrouter.utils import validate_const, validate_open_enum
|
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import pydantic
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import AfterValidator, PlainValidator
|
||||
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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|
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Effort = Union[
|
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Literal[
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"minimal",
|
||||
"low",
|
||||
"medium",
|
||||
"high",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
|
||||
|
||||
class ReasoningTypedDict(TypedDict):
|
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effort: NotRequired[Nullable[Effort]]
|
||||
summary: NotRequired[Nullable[ReasoningSummaryVerbosity]]
|
||||
|
||||
|
||||
class Reasoning(BaseModel):
|
||||
effort: Annotated[
|
||||
OptionalNullable[Effort], PlainValidator(validate_open_enum(False))
|
||||
] = UNSET
|
||||
|
||||
summary: Annotated[
|
||||
OptionalNullable[ReasoningSummaryVerbosity],
|
||||
PlainValidator(validate_open_enum(False)),
|
||||
] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["effort", "summary"]
|
||||
nullable_fields = ["effort", "summary"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
class ChatGenerationParamsResponseFormatPythonTypedDict(TypedDict):
|
||||
type: Literal["python"]
|
||||
|
||||
|
||||
class ChatGenerationParamsResponseFormatPython(BaseModel):
|
||||
TYPE: Annotated[
|
||||
Annotated[Literal["python"], AfterValidator(validate_const("python"))],
|
||||
pydantic.Field(alias="type"),
|
||||
] = "python"
|
||||
|
||||
|
||||
class ChatGenerationParamsResponseFormatJSONObjectTypedDict(TypedDict):
|
||||
type: Literal["json_object"]
|
||||
|
||||
|
||||
class ChatGenerationParamsResponseFormatJSONObject(BaseModel):
|
||||
TYPE: Annotated[
|
||||
Annotated[
|
||||
Literal["json_object"], AfterValidator(validate_const("json_object"))
|
||||
],
|
||||
pydantic.Field(alias="type"),
|
||||
] = "json_object"
|
||||
|
||||
|
||||
class ChatGenerationParamsResponseFormatTextTypedDict(TypedDict):
|
||||
type: Literal["text"]
|
||||
|
||||
|
||||
class ChatGenerationParamsResponseFormatText(BaseModel):
|
||||
TYPE: Annotated[
|
||||
Annotated[Literal["text"], AfterValidator(validate_const("text"))],
|
||||
pydantic.Field(alias="type"),
|
||||
] = "text"
|
||||
|
||||
|
||||
ChatGenerationParamsResponseFormatUnionTypedDict = TypeAliasType(
|
||||
"ChatGenerationParamsResponseFormatUnionTypedDict",
|
||||
Union[
|
||||
ChatGenerationParamsResponseFormatTextTypedDict,
|
||||
ChatGenerationParamsResponseFormatJSONObjectTypedDict,
|
||||
ChatGenerationParamsResponseFormatPythonTypedDict,
|
||||
ResponseFormatJSONSchemaTypedDict,
|
||||
ResponseFormatTextGrammarTypedDict,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
ChatGenerationParamsResponseFormatUnion = TypeAliasType(
|
||||
"ChatGenerationParamsResponseFormatUnion",
|
||||
Union[
|
||||
ChatGenerationParamsResponseFormatText,
|
||||
ChatGenerationParamsResponseFormatJSONObject,
|
||||
ChatGenerationParamsResponseFormatPython,
|
||||
ResponseFormatJSONSchema,
|
||||
ResponseFormatTextGrammar,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
ChatGenerationParamsStopTypedDict = TypeAliasType(
|
||||
"ChatGenerationParamsStopTypedDict", Union[str, List[str]]
|
||||
)
|
||||
|
||||
|
||||
ChatGenerationParamsStop = TypeAliasType(
|
||||
"ChatGenerationParamsStop", Union[str, List[str]]
|
||||
)
|
||||
|
||||
|
||||
class ChatGenerationParamsTypedDict(TypedDict):
|
||||
messages: List[MessageTypedDict]
|
||||
model: NotRequired[str]
|
||||
models: NotRequired[List[str]]
|
||||
frequency_penalty: NotRequired[Nullable[float]]
|
||||
logit_bias: NotRequired[Nullable[Dict[str, float]]]
|
||||
logprobs: NotRequired[Nullable[bool]]
|
||||
top_logprobs: NotRequired[Nullable[float]]
|
||||
max_completion_tokens: NotRequired[Nullable[float]]
|
||||
max_tokens: NotRequired[Nullable[float]]
|
||||
metadata: NotRequired[Dict[str, str]]
|
||||
presence_penalty: NotRequired[Nullable[float]]
|
||||
reasoning: NotRequired[ReasoningTypedDict]
|
||||
response_format: NotRequired[ChatGenerationParamsResponseFormatUnionTypedDict]
|
||||
seed: NotRequired[Nullable[int]]
|
||||
stop: NotRequired[Nullable[ChatGenerationParamsStopTypedDict]]
|
||||
stream: NotRequired[bool]
|
||||
stream_options: NotRequired[Nullable[ChatStreamOptionsTypedDict]]
|
||||
temperature: NotRequired[Nullable[float]]
|
||||
tool_choice: NotRequired[Any]
|
||||
tools: NotRequired[List[ToolDefinitionJSONTypedDict]]
|
||||
top_p: NotRequired[Nullable[float]]
|
||||
user: NotRequired[str]
|
||||
|
||||
|
||||
class ChatGenerationParams(BaseModel):
|
||||
messages: List[Message]
|
||||
|
||||
model: Optional[str] = None
|
||||
|
||||
models: Optional[List[str]] = None
|
||||
|
||||
frequency_penalty: OptionalNullable[float] = UNSET
|
||||
|
||||
logit_bias: OptionalNullable[Dict[str, float]] = UNSET
|
||||
|
||||
logprobs: OptionalNullable[bool] = UNSET
|
||||
|
||||
top_logprobs: OptionalNullable[float] = UNSET
|
||||
|
||||
max_completion_tokens: OptionalNullable[float] = UNSET
|
||||
|
||||
max_tokens: OptionalNullable[float] = UNSET
|
||||
|
||||
metadata: Optional[Dict[str, str]] = None
|
||||
|
||||
presence_penalty: OptionalNullable[float] = UNSET
|
||||
|
||||
reasoning: Optional[Reasoning] = None
|
||||
|
||||
response_format: Optional[ChatGenerationParamsResponseFormatUnion] = None
|
||||
|
||||
seed: OptionalNullable[int] = UNSET
|
||||
|
||||
stop: OptionalNullable[ChatGenerationParamsStop] = UNSET
|
||||
|
||||
stream: Optional[bool] = False
|
||||
|
||||
stream_options: OptionalNullable[ChatStreamOptions] = UNSET
|
||||
|
||||
temperature: OptionalNullable[float] = UNSET
|
||||
|
||||
tool_choice: Optional[Any] = None
|
||||
|
||||
tools: Optional[List[ToolDefinitionJSON]] = None
|
||||
|
||||
top_p: OptionalNullable[float] = UNSET
|
||||
|
||||
user: Optional[str] = None
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = [
|
||||
"model",
|
||||
"models",
|
||||
"frequency_penalty",
|
||||
"logit_bias",
|
||||
"logprobs",
|
||||
"top_logprobs",
|
||||
"max_completion_tokens",
|
||||
"max_tokens",
|
||||
"metadata",
|
||||
"presence_penalty",
|
||||
"reasoning",
|
||||
"response_format",
|
||||
"seed",
|
||||
"stop",
|
||||
"stream",
|
||||
"stream_options",
|
||||
"temperature",
|
||||
"tool_choice",
|
||||
"tools",
|
||||
"top_p",
|
||||
"user",
|
||||
]
|
||||
nullable_fields = [
|
||||
"frequency_penalty",
|
||||
"logit_bias",
|
||||
"logprobs",
|
||||
"top_logprobs",
|
||||
"max_completion_tokens",
|
||||
"max_tokens",
|
||||
"presence_penalty",
|
||||
"seed",
|
||||
"stop",
|
||||
"stream_options",
|
||||
"temperature",
|
||||
"top_p",
|
||||
]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,134 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from pydantic import model_serializer
|
||||
from typing import Optional
|
||||
from typing_extensions import NotRequired, TypedDict
|
||||
|
||||
|
||||
class CompletionTokensDetailsTypedDict(TypedDict):
|
||||
reasoning_tokens: NotRequired[Nullable[float]]
|
||||
audio_tokens: NotRequired[Nullable[float]]
|
||||
accepted_prediction_tokens: NotRequired[Nullable[float]]
|
||||
rejected_prediction_tokens: NotRequired[Nullable[float]]
|
||||
|
||||
|
||||
class CompletionTokensDetails(BaseModel):
|
||||
reasoning_tokens: OptionalNullable[float] = UNSET
|
||||
|
||||
audio_tokens: OptionalNullable[float] = UNSET
|
||||
|
||||
accepted_prediction_tokens: OptionalNullable[float] = UNSET
|
||||
|
||||
rejected_prediction_tokens: OptionalNullable[float] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = [
|
||||
"reasoning_tokens",
|
||||
"audio_tokens",
|
||||
"accepted_prediction_tokens",
|
||||
"rejected_prediction_tokens",
|
||||
]
|
||||
nullable_fields = [
|
||||
"reasoning_tokens",
|
||||
"audio_tokens",
|
||||
"accepted_prediction_tokens",
|
||||
"rejected_prediction_tokens",
|
||||
]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
class PromptTokensDetailsTypedDict(TypedDict):
|
||||
cached_tokens: NotRequired[float]
|
||||
audio_tokens: NotRequired[float]
|
||||
video_tokens: NotRequired[float]
|
||||
|
||||
|
||||
class PromptTokensDetails(BaseModel):
|
||||
cached_tokens: Optional[float] = None
|
||||
|
||||
audio_tokens: Optional[float] = None
|
||||
|
||||
video_tokens: Optional[float] = None
|
||||
|
||||
|
||||
class ChatGenerationTokenUsageTypedDict(TypedDict):
|
||||
completion_tokens: float
|
||||
prompt_tokens: float
|
||||
total_tokens: float
|
||||
completion_tokens_details: NotRequired[Nullable[CompletionTokensDetailsTypedDict]]
|
||||
prompt_tokens_details: NotRequired[Nullable[PromptTokensDetailsTypedDict]]
|
||||
|
||||
|
||||
class ChatGenerationTokenUsage(BaseModel):
|
||||
completion_tokens: float
|
||||
|
||||
prompt_tokens: float
|
||||
|
||||
total_tokens: float
|
||||
|
||||
completion_tokens_details: OptionalNullable[CompletionTokensDetails] = UNSET
|
||||
|
||||
prompt_tokens_details: OptionalNullable[PromptTokensDetails] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["completion_tokens_details", "prompt_tokens_details"]
|
||||
nullable_fields = ["completion_tokens_details", "prompt_tokens_details"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,45 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .chatmessagecontentitemaudio import (
|
||||
ChatMessageContentItemAudio,
|
||||
ChatMessageContentItemAudioTypedDict,
|
||||
)
|
||||
from .chatmessagecontentitemimage import (
|
||||
ChatMessageContentItemImage,
|
||||
ChatMessageContentItemImageTypedDict,
|
||||
)
|
||||
from .chatmessagecontentitemtext import (
|
||||
ChatMessageContentItemText,
|
||||
ChatMessageContentItemTextTypedDict,
|
||||
)
|
||||
from .chatmessagecontentitemvideo import (
|
||||
ChatMessageContentItemVideo,
|
||||
ChatMessageContentItemVideoTypedDict,
|
||||
)
|
||||
from openrouter.utils import get_discriminator
|
||||
from pydantic import Discriminator, Tag
|
||||
from typing import Union
|
||||
from typing_extensions import Annotated, TypeAliasType
|
||||
|
||||
|
||||
ChatMessageContentItemTypedDict = TypeAliasType(
|
||||
"ChatMessageContentItemTypedDict",
|
||||
Union[
|
||||
ChatMessageContentItemTextTypedDict,
|
||||
ChatMessageContentItemImageTypedDict,
|
||||
ChatMessageContentItemAudioTypedDict,
|
||||
ChatMessageContentItemVideoTypedDict,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
ChatMessageContentItem = Annotated[
|
||||
Union[
|
||||
Annotated[ChatMessageContentItemText, Tag("text")],
|
||||
Annotated[ChatMessageContentItemImage, Tag("image_url")],
|
||||
Annotated[ChatMessageContentItemAudio, Tag("input_audio")],
|
||||
Annotated[ChatMessageContentItemVideo, Tag("input_video")],
|
||||
],
|
||||
Discriminator(lambda m: get_discriminator(m, "type", "type")),
|
||||
]
|
||||
@@ -1,55 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel, UnrecognizedStr
|
||||
from openrouter.utils import validate_const, validate_open_enum
|
||||
import pydantic
|
||||
from pydantic.functional_validators import AfterValidator, PlainValidator
|
||||
from typing import Literal, Union
|
||||
from typing_extensions import Annotated, TypedDict
|
||||
|
||||
|
||||
ChatMessageContentItemAudioFormat = Union[
|
||||
Literal[
|
||||
"wav",
|
||||
"mp3",
|
||||
"flac",
|
||||
"m4a",
|
||||
"ogg",
|
||||
"pcm16",
|
||||
"pcm24",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
|
||||
|
||||
class ChatMessageContentItemAudioInputAudioTypedDict(TypedDict):
|
||||
data: str
|
||||
format_: ChatMessageContentItemAudioFormat
|
||||
|
||||
|
||||
class ChatMessageContentItemAudioInputAudio(BaseModel):
|
||||
data: str
|
||||
|
||||
format_: Annotated[
|
||||
Annotated[
|
||||
ChatMessageContentItemAudioFormat, PlainValidator(validate_open_enum(False))
|
||||
],
|
||||
pydantic.Field(alias="format"),
|
||||
]
|
||||
|
||||
|
||||
class ChatMessageContentItemAudioTypedDict(TypedDict):
|
||||
input_audio: ChatMessageContentItemAudioInputAudioTypedDict
|
||||
type: Literal["input_audio"]
|
||||
|
||||
|
||||
class ChatMessageContentItemAudio(BaseModel):
|
||||
input_audio: ChatMessageContentItemAudioInputAudio
|
||||
|
||||
TYPE: Annotated[
|
||||
Annotated[
|
||||
Literal["input_audio"], AfterValidator(validate_const("input_audio"))
|
||||
],
|
||||
pydantic.Field(alias="type"),
|
||||
] = "input_audio"
|
||||
@@ -1,47 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel, UnrecognizedStr
|
||||
from openrouter.utils import validate_const, validate_open_enum
|
||||
import pydantic
|
||||
from pydantic.functional_validators import AfterValidator, PlainValidator
|
||||
from typing import Literal, Optional, Union
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
ChatMessageContentItemImageDetail = Union[
|
||||
Literal[
|
||||
"auto",
|
||||
"low",
|
||||
"high",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
|
||||
|
||||
class ImageURLTypedDict(TypedDict):
|
||||
url: str
|
||||
detail: NotRequired[ChatMessageContentItemImageDetail]
|
||||
|
||||
|
||||
class ImageURL(BaseModel):
|
||||
url: str
|
||||
|
||||
detail: Annotated[
|
||||
Optional[ChatMessageContentItemImageDetail],
|
||||
PlainValidator(validate_open_enum(False)),
|
||||
] = None
|
||||
|
||||
|
||||
class ChatMessageContentItemImageTypedDict(TypedDict):
|
||||
image_url: ImageURLTypedDict
|
||||
type: Literal["image_url"]
|
||||
|
||||
|
||||
class ChatMessageContentItemImage(BaseModel):
|
||||
image_url: ImageURL
|
||||
|
||||
TYPE: Annotated[
|
||||
Annotated[Literal["image_url"], AfterValidator(validate_const("image_url"))],
|
||||
pydantic.Field(alias="type"),
|
||||
] = "image_url"
|
||||
@@ -1,23 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from openrouter.utils import validate_const
|
||||
import pydantic
|
||||
from pydantic.functional_validators import AfterValidator
|
||||
from typing import Literal
|
||||
from typing_extensions import Annotated, TypedDict
|
||||
|
||||
|
||||
class ChatMessageContentItemTextTypedDict(TypedDict):
|
||||
text: str
|
||||
type: Literal["text"]
|
||||
|
||||
|
||||
class ChatMessageContentItemText(BaseModel):
|
||||
text: str
|
||||
|
||||
TYPE: Annotated[
|
||||
Annotated[Literal["text"], AfterValidator(validate_const("text"))],
|
||||
pydantic.Field(alias="type"),
|
||||
] = "text"
|
||||
@@ -1,33 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from openrouter.utils import validate_const
|
||||
import pydantic
|
||||
from pydantic.functional_validators import AfterValidator
|
||||
from typing import Literal
|
||||
from typing_extensions import Annotated, TypedDict
|
||||
|
||||
|
||||
class VideoURLTypedDict(TypedDict):
|
||||
url: str
|
||||
|
||||
|
||||
class VideoURL(BaseModel):
|
||||
url: str
|
||||
|
||||
|
||||
class ChatMessageContentItemVideoTypedDict(TypedDict):
|
||||
video_url: VideoURLTypedDict
|
||||
type: Literal["input_video"]
|
||||
|
||||
|
||||
class ChatMessageContentItemVideo(BaseModel):
|
||||
video_url: VideoURL
|
||||
|
||||
TYPE: Annotated[
|
||||
Annotated[
|
||||
Literal["input_video"], AfterValidator(validate_const("input_video"))
|
||||
],
|
||||
pydantic.Field(alias="type"),
|
||||
] = "input_video"
|
||||
@@ -1,99 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel, Nullable, UNSET_SENTINEL
|
||||
import pydantic
|
||||
from pydantic import model_serializer
|
||||
from typing import List
|
||||
from typing_extensions import Annotated, TypedDict
|
||||
|
||||
|
||||
class TopLogprobTypedDict(TypedDict):
|
||||
token: str
|
||||
logprob: float
|
||||
bytes_: Nullable[List[float]]
|
||||
|
||||
|
||||
class TopLogprob(BaseModel):
|
||||
token: str
|
||||
|
||||
logprob: float
|
||||
|
||||
bytes_: Annotated[Nullable[List[float]], pydantic.Field(alias="bytes")]
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = []
|
||||
nullable_fields = ["bytes"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
class ChatMessageTokenLogprobTypedDict(TypedDict):
|
||||
token: str
|
||||
logprob: float
|
||||
bytes_: Nullable[List[float]]
|
||||
top_logprobs: List[TopLogprobTypedDict]
|
||||
|
||||
|
||||
class ChatMessageTokenLogprob(BaseModel):
|
||||
token: str
|
||||
|
||||
logprob: float
|
||||
|
||||
bytes_: Annotated[Nullable[List[float]], pydantic.Field(alias="bytes")]
|
||||
|
||||
top_logprobs: List[TopLogprob]
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = []
|
||||
nullable_fields = ["bytes"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,52 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .chatmessagetokenlogprob import (
|
||||
ChatMessageTokenLogprob,
|
||||
ChatMessageTokenLogprobTypedDict,
|
||||
)
|
||||
from openrouter.types import BaseModel, Nullable, UNSET_SENTINEL
|
||||
from pydantic import model_serializer
|
||||
from typing import List
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
class ChatMessageTokenLogprobsTypedDict(TypedDict):
|
||||
content: Nullable[List[ChatMessageTokenLogprobTypedDict]]
|
||||
refusal: Nullable[List[ChatMessageTokenLogprobTypedDict]]
|
||||
|
||||
|
||||
class ChatMessageTokenLogprobs(BaseModel):
|
||||
content: Nullable[List[ChatMessageTokenLogprob]]
|
||||
|
||||
refusal: Nullable[List[ChatMessageTokenLogprob]]
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = []
|
||||
nullable_fields = ["content", "refusal"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,37 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from openrouter.utils import validate_const
|
||||
import pydantic
|
||||
from pydantic.functional_validators import AfterValidator
|
||||
from typing import Literal
|
||||
from typing_extensions import Annotated, TypedDict
|
||||
|
||||
|
||||
class ChatMessageToolCallFunctionTypedDict(TypedDict):
|
||||
name: str
|
||||
arguments: str
|
||||
|
||||
|
||||
class ChatMessageToolCallFunction(BaseModel):
|
||||
name: str
|
||||
|
||||
arguments: str
|
||||
|
||||
|
||||
class ChatMessageToolCallTypedDict(TypedDict):
|
||||
id: str
|
||||
function: ChatMessageToolCallFunctionTypedDict
|
||||
type: Literal["function"]
|
||||
|
||||
|
||||
class ChatMessageToolCall(BaseModel):
|
||||
id: str
|
||||
|
||||
function: ChatMessageToolCallFunction
|
||||
|
||||
TYPE: Annotated[
|
||||
Annotated[Literal["function"], AfterValidator(validate_const("function"))],
|
||||
pydantic.Field(alias="type"),
|
||||
] = "function"
|
||||
@@ -1,83 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .chatgenerationtokenusage import (
|
||||
ChatGenerationTokenUsage,
|
||||
ChatGenerationTokenUsageTypedDict,
|
||||
)
|
||||
from .chatresponsechoice import ChatResponseChoice, ChatResponseChoiceTypedDict
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from openrouter.utils import validate_const
|
||||
import pydantic
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import AfterValidator
|
||||
from typing import List, Literal, Optional
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
class ChatResponseTypedDict(TypedDict):
|
||||
id: str
|
||||
choices: List[ChatResponseChoiceTypedDict]
|
||||
created: float
|
||||
model: str
|
||||
object: Literal["chat.completion"]
|
||||
system_fingerprint: NotRequired[Nullable[str]]
|
||||
usage: NotRequired[ChatGenerationTokenUsageTypedDict]
|
||||
|
||||
|
||||
class ChatResponse(BaseModel):
|
||||
id: str
|
||||
|
||||
choices: List[ChatResponseChoice]
|
||||
|
||||
created: float
|
||||
|
||||
model: str
|
||||
|
||||
OBJECT: Annotated[
|
||||
Annotated[
|
||||
Literal["chat.completion"],
|
||||
AfterValidator(validate_const("chat.completion")),
|
||||
],
|
||||
pydantic.Field(alias="object"),
|
||||
] = "chat.completion"
|
||||
|
||||
system_fingerprint: OptionalNullable[str] = UNSET
|
||||
|
||||
usage: Optional[ChatGenerationTokenUsage] = None
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["system_fingerprint", "usage"]
|
||||
nullable_fields = ["system_fingerprint"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,69 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .assistantmessage import AssistantMessage, AssistantMessageTypedDict
|
||||
from .chatcompletionfinishreason import ChatCompletionFinishReason
|
||||
from .chatmessagetokenlogprobs import (
|
||||
ChatMessageTokenLogprobs,
|
||||
ChatMessageTokenLogprobsTypedDict,
|
||||
)
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from openrouter.utils import validate_open_enum
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
class ChatResponseChoiceTypedDict(TypedDict):
|
||||
finish_reason: Nullable[ChatCompletionFinishReason]
|
||||
index: float
|
||||
message: AssistantMessageTypedDict
|
||||
logprobs: NotRequired[Nullable[ChatMessageTokenLogprobsTypedDict]]
|
||||
|
||||
|
||||
class ChatResponseChoice(BaseModel):
|
||||
finish_reason: Annotated[
|
||||
Nullable[ChatCompletionFinishReason], PlainValidator(validate_open_enum(False))
|
||||
]
|
||||
|
||||
index: float
|
||||
|
||||
message: AssistantMessage
|
||||
|
||||
logprobs: OptionalNullable[ChatMessageTokenLogprobs] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["logprobs"]
|
||||
nullable_fields = ["finish_reason", "logprobs"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,72 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .chatcompletionfinishreason import ChatCompletionFinishReason
|
||||
from .chatmessagetokenlogprobs import (
|
||||
ChatMessageTokenLogprobs,
|
||||
ChatMessageTokenLogprobsTypedDict,
|
||||
)
|
||||
from .chatstreamingmessagechunk import (
|
||||
ChatStreamingMessageChunk,
|
||||
ChatStreamingMessageChunkTypedDict,
|
||||
)
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from openrouter.utils import validate_open_enum
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
class ChatStreamingChoiceTypedDict(TypedDict):
|
||||
delta: ChatStreamingMessageChunkTypedDict
|
||||
finish_reason: Nullable[ChatCompletionFinishReason]
|
||||
index: float
|
||||
logprobs: NotRequired[Nullable[ChatMessageTokenLogprobsTypedDict]]
|
||||
|
||||
|
||||
class ChatStreamingChoice(BaseModel):
|
||||
delta: ChatStreamingMessageChunk
|
||||
|
||||
finish_reason: Annotated[
|
||||
Nullable[ChatCompletionFinishReason], PlainValidator(validate_open_enum(False))
|
||||
]
|
||||
|
||||
index: float
|
||||
|
||||
logprobs: OptionalNullable[ChatMessageTokenLogprobs] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["logprobs"]
|
||||
nullable_fields = ["finish_reason", "logprobs"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,70 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .chatstreamingmessagetoolcall import (
|
||||
ChatStreamingMessageToolCall,
|
||||
ChatStreamingMessageToolCallTypedDict,
|
||||
)
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from pydantic import model_serializer
|
||||
from typing import List, Literal, Optional
|
||||
from typing_extensions import NotRequired, TypedDict
|
||||
|
||||
|
||||
ChatStreamingMessageChunkRole = Literal["assistant",]
|
||||
|
||||
|
||||
class ChatStreamingMessageChunkTypedDict(TypedDict):
|
||||
role: NotRequired[ChatStreamingMessageChunkRole]
|
||||
content: NotRequired[Nullable[str]]
|
||||
reasoning: NotRequired[Nullable[str]]
|
||||
refusal: NotRequired[Nullable[str]]
|
||||
tool_calls: NotRequired[List[ChatStreamingMessageToolCallTypedDict]]
|
||||
|
||||
|
||||
class ChatStreamingMessageChunk(BaseModel):
|
||||
role: Optional[ChatStreamingMessageChunkRole] = None
|
||||
|
||||
content: OptionalNullable[str] = UNSET
|
||||
|
||||
reasoning: OptionalNullable[str] = UNSET
|
||||
|
||||
refusal: OptionalNullable[str] = UNSET
|
||||
|
||||
tool_calls: Optional[List[ChatStreamingMessageToolCall]] = None
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["role", "content", "reasoning", "refusal", "tool_calls"]
|
||||
nullable_fields = ["content", "reasoning", "refusal"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,42 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from openrouter.utils import validate_const
|
||||
import pydantic
|
||||
from pydantic.functional_validators import AfterValidator
|
||||
from typing import Literal, Optional
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
class ChatStreamingMessageToolCallFunctionTypedDict(TypedDict):
|
||||
name: NotRequired[str]
|
||||
arguments: NotRequired[str]
|
||||
|
||||
|
||||
class ChatStreamingMessageToolCallFunction(BaseModel):
|
||||
name: Optional[str] = None
|
||||
|
||||
arguments: Optional[str] = None
|
||||
|
||||
|
||||
class ChatStreamingMessageToolCallTypedDict(TypedDict):
|
||||
index: float
|
||||
id: NotRequired[str]
|
||||
type: Literal["function"]
|
||||
function: NotRequired[ChatStreamingMessageToolCallFunctionTypedDict]
|
||||
|
||||
|
||||
class ChatStreamingMessageToolCall(BaseModel):
|
||||
index: float
|
||||
|
||||
id: Optional[str] = None
|
||||
|
||||
TYPE: Annotated[
|
||||
Annotated[
|
||||
Optional[Literal["function"]], AfterValidator(validate_const("function"))
|
||||
],
|
||||
pydantic.Field(alias="type"),
|
||||
] = "function"
|
||||
|
||||
function: Optional[ChatStreamingMessageToolCallFunction] = None
|
||||
@@ -1,105 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .chatgenerationtokenusage import (
|
||||
ChatGenerationTokenUsage,
|
||||
ChatGenerationTokenUsageTypedDict,
|
||||
)
|
||||
from .chatstreamingchoice import ChatStreamingChoice, ChatStreamingChoiceTypedDict
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from openrouter.utils import validate_const
|
||||
import pydantic
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import AfterValidator
|
||||
from typing import List, Literal, Optional
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
class ChatStreamingResponseChunkErrorTypedDict(TypedDict):
|
||||
message: str
|
||||
code: float
|
||||
|
||||
|
||||
class ChatStreamingResponseChunkError(BaseModel):
|
||||
message: str
|
||||
|
||||
code: float
|
||||
|
||||
|
||||
class ChatStreamingResponseChunkDataTypedDict(TypedDict):
|
||||
id: str
|
||||
choices: List[ChatStreamingChoiceTypedDict]
|
||||
created: float
|
||||
model: str
|
||||
object: Literal["chat.completion.chunk"]
|
||||
system_fingerprint: NotRequired[Nullable[str]]
|
||||
error: NotRequired[ChatStreamingResponseChunkErrorTypedDict]
|
||||
usage: NotRequired[ChatGenerationTokenUsageTypedDict]
|
||||
|
||||
|
||||
class ChatStreamingResponseChunkData(BaseModel):
|
||||
id: str
|
||||
|
||||
choices: List[ChatStreamingChoice]
|
||||
|
||||
created: float
|
||||
|
||||
model: str
|
||||
|
||||
OBJECT: Annotated[
|
||||
Annotated[
|
||||
Literal["chat.completion.chunk"],
|
||||
AfterValidator(validate_const("chat.completion.chunk")),
|
||||
],
|
||||
pydantic.Field(alias="object"),
|
||||
] = "chat.completion.chunk"
|
||||
|
||||
system_fingerprint: OptionalNullable[str] = UNSET
|
||||
|
||||
error: Optional[ChatStreamingResponseChunkError] = None
|
||||
|
||||
usage: Optional[ChatGenerationTokenUsage] = None
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["system_fingerprint", "error", "usage"]
|
||||
nullable_fields = ["system_fingerprint"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
class ChatStreamingResponseChunkTypedDict(TypedDict):
|
||||
data: ChatStreamingResponseChunkDataTypedDict
|
||||
|
||||
|
||||
class ChatStreamingResponseChunk(BaseModel):
|
||||
data: ChatStreamingResponseChunkData
|
||||
@@ -1,14 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from typing import Optional
|
||||
from typing_extensions import NotRequired, TypedDict
|
||||
|
||||
|
||||
class ChatStreamOptionsTypedDict(TypedDict):
|
||||
include_usage: NotRequired[bool]
|
||||
|
||||
|
||||
class ChatStreamOptions(BaseModel):
|
||||
include_usage: Optional[bool] = None
|
||||
@@ -1,69 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .completionlogprobs import CompletionLogprobs, CompletionLogprobsTypedDict
|
||||
from openrouter.types import BaseModel, Nullable, UNSET_SENTINEL, UnrecognizedStr
|
||||
from openrouter.utils import validate_open_enum
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing import Literal, Union
|
||||
from typing_extensions import Annotated, TypedDict
|
||||
|
||||
|
||||
CompletionFinishReason = Union[
|
||||
Literal[
|
||||
"stop",
|
||||
"length",
|
||||
"content_filter",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
|
||||
|
||||
class CompletionChoiceTypedDict(TypedDict):
|
||||
text: str
|
||||
index: float
|
||||
logprobs: Nullable[CompletionLogprobsTypedDict]
|
||||
finish_reason: Nullable[CompletionFinishReason]
|
||||
|
||||
|
||||
class CompletionChoice(BaseModel):
|
||||
text: str
|
||||
|
||||
index: float
|
||||
|
||||
logprobs: Nullable[CompletionLogprobs]
|
||||
|
||||
finish_reason: Annotated[
|
||||
Nullable[CompletionFinishReason], PlainValidator(validate_open_enum(False))
|
||||
]
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = []
|
||||
nullable_fields = ["logprobs", "finish_reason"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,277 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .responseformatjsonschema import (
|
||||
ResponseFormatJSONSchema,
|
||||
ResponseFormatJSONSchemaTypedDict,
|
||||
)
|
||||
from .responseformattextgrammar import (
|
||||
ResponseFormatTextGrammar,
|
||||
ResponseFormatTextGrammarTypedDict,
|
||||
)
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from openrouter.utils import validate_const
|
||||
import pydantic
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import AfterValidator
|
||||
from typing import Dict, List, Literal, Optional, Union
|
||||
from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
|
||||
|
||||
|
||||
PromptTypedDict = TypeAliasType(
|
||||
"PromptTypedDict", Union[str, List[str], List[float], List[List[float]]]
|
||||
)
|
||||
|
||||
|
||||
Prompt = TypeAliasType("Prompt", Union[str, List[str], List[float], List[List[float]]])
|
||||
|
||||
|
||||
CompletionCreateParamsStopTypedDict = TypeAliasType(
|
||||
"CompletionCreateParamsStopTypedDict", Union[str, List[str]]
|
||||
)
|
||||
|
||||
|
||||
CompletionCreateParamsStop = TypeAliasType(
|
||||
"CompletionCreateParamsStop", Union[str, List[str]]
|
||||
)
|
||||
|
||||
|
||||
class StreamOptionsTypedDict(TypedDict):
|
||||
include_usage: NotRequired[Nullable[bool]]
|
||||
|
||||
|
||||
class StreamOptions(BaseModel):
|
||||
include_usage: OptionalNullable[bool] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["include_usage"]
|
||||
nullable_fields = ["include_usage"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
class CompletionCreateParamsResponseFormatPythonTypedDict(TypedDict):
|
||||
type: Literal["python"]
|
||||
|
||||
|
||||
class CompletionCreateParamsResponseFormatPython(BaseModel):
|
||||
TYPE: Annotated[
|
||||
Annotated[Literal["python"], AfterValidator(validate_const("python"))],
|
||||
pydantic.Field(alias="type"),
|
||||
] = "python"
|
||||
|
||||
|
||||
class CompletionCreateParamsResponseFormatJSONObjectTypedDict(TypedDict):
|
||||
type: Literal["json_object"]
|
||||
|
||||
|
||||
class CompletionCreateParamsResponseFormatJSONObject(BaseModel):
|
||||
TYPE: Annotated[
|
||||
Annotated[
|
||||
Literal["json_object"], AfterValidator(validate_const("json_object"))
|
||||
],
|
||||
pydantic.Field(alias="type"),
|
||||
] = "json_object"
|
||||
|
||||
|
||||
class CompletionCreateParamsResponseFormatTextTypedDict(TypedDict):
|
||||
type: Literal["text"]
|
||||
|
||||
|
||||
class CompletionCreateParamsResponseFormatText(BaseModel):
|
||||
TYPE: Annotated[
|
||||
Annotated[Literal["text"], AfterValidator(validate_const("text"))],
|
||||
pydantic.Field(alias="type"),
|
||||
] = "text"
|
||||
|
||||
|
||||
CompletionCreateParamsResponseFormatUnionTypedDict = TypeAliasType(
|
||||
"CompletionCreateParamsResponseFormatUnionTypedDict",
|
||||
Union[
|
||||
CompletionCreateParamsResponseFormatTextTypedDict,
|
||||
CompletionCreateParamsResponseFormatJSONObjectTypedDict,
|
||||
CompletionCreateParamsResponseFormatPythonTypedDict,
|
||||
ResponseFormatJSONSchemaTypedDict,
|
||||
ResponseFormatTextGrammarTypedDict,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
CompletionCreateParamsResponseFormatUnion = TypeAliasType(
|
||||
"CompletionCreateParamsResponseFormatUnion",
|
||||
Union[
|
||||
CompletionCreateParamsResponseFormatText,
|
||||
CompletionCreateParamsResponseFormatJSONObject,
|
||||
CompletionCreateParamsResponseFormatPython,
|
||||
ResponseFormatJSONSchema,
|
||||
ResponseFormatTextGrammar,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
class CompletionCreateParamsTypedDict(TypedDict):
|
||||
prompt: PromptTypedDict
|
||||
model: NotRequired[str]
|
||||
models: NotRequired[List[str]]
|
||||
best_of: NotRequired[Nullable[int]]
|
||||
echo: NotRequired[Nullable[bool]]
|
||||
frequency_penalty: NotRequired[Nullable[float]]
|
||||
logit_bias: NotRequired[Nullable[Dict[str, float]]]
|
||||
logprobs: NotRequired[Nullable[int]]
|
||||
max_tokens: NotRequired[Nullable[int]]
|
||||
n: NotRequired[Nullable[int]]
|
||||
presence_penalty: NotRequired[Nullable[float]]
|
||||
seed: NotRequired[Nullable[int]]
|
||||
stop: NotRequired[Nullable[CompletionCreateParamsStopTypedDict]]
|
||||
stream: NotRequired[bool]
|
||||
stream_options: NotRequired[Nullable[StreamOptionsTypedDict]]
|
||||
suffix: NotRequired[Nullable[str]]
|
||||
temperature: NotRequired[Nullable[float]]
|
||||
top_p: NotRequired[Nullable[float]]
|
||||
user: NotRequired[str]
|
||||
metadata: NotRequired[Nullable[Dict[str, str]]]
|
||||
response_format: NotRequired[
|
||||
Nullable[CompletionCreateParamsResponseFormatUnionTypedDict]
|
||||
]
|
||||
|
||||
|
||||
class CompletionCreateParams(BaseModel):
|
||||
prompt: Prompt
|
||||
|
||||
model: Optional[str] = None
|
||||
|
||||
models: Optional[List[str]] = None
|
||||
|
||||
best_of: OptionalNullable[int] = UNSET
|
||||
|
||||
echo: OptionalNullable[bool] = UNSET
|
||||
|
||||
frequency_penalty: OptionalNullable[float] = UNSET
|
||||
|
||||
logit_bias: OptionalNullable[Dict[str, float]] = UNSET
|
||||
|
||||
logprobs: OptionalNullable[int] = UNSET
|
||||
|
||||
max_tokens: OptionalNullable[int] = UNSET
|
||||
|
||||
n: OptionalNullable[int] = UNSET
|
||||
|
||||
presence_penalty: OptionalNullable[float] = UNSET
|
||||
|
||||
seed: OptionalNullable[int] = UNSET
|
||||
|
||||
stop: OptionalNullable[CompletionCreateParamsStop] = UNSET
|
||||
|
||||
stream: Optional[bool] = False
|
||||
|
||||
stream_options: OptionalNullable[StreamOptions] = UNSET
|
||||
|
||||
suffix: OptionalNullable[str] = UNSET
|
||||
|
||||
temperature: OptionalNullable[float] = UNSET
|
||||
|
||||
top_p: OptionalNullable[float] = UNSET
|
||||
|
||||
user: Optional[str] = None
|
||||
|
||||
metadata: OptionalNullable[Dict[str, str]] = UNSET
|
||||
|
||||
response_format: OptionalNullable[CompletionCreateParamsResponseFormatUnion] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = [
|
||||
"model",
|
||||
"models",
|
||||
"best_of",
|
||||
"echo",
|
||||
"frequency_penalty",
|
||||
"logit_bias",
|
||||
"logprobs",
|
||||
"max_tokens",
|
||||
"n",
|
||||
"presence_penalty",
|
||||
"seed",
|
||||
"stop",
|
||||
"stream",
|
||||
"stream_options",
|
||||
"suffix",
|
||||
"temperature",
|
||||
"top_p",
|
||||
"user",
|
||||
"metadata",
|
||||
"response_format",
|
||||
]
|
||||
nullable_fields = [
|
||||
"best_of",
|
||||
"echo",
|
||||
"frequency_penalty",
|
||||
"logit_bias",
|
||||
"logprobs",
|
||||
"max_tokens",
|
||||
"n",
|
||||
"presence_penalty",
|
||||
"seed",
|
||||
"stop",
|
||||
"stream_options",
|
||||
"suffix",
|
||||
"temperature",
|
||||
"top_p",
|
||||
"metadata",
|
||||
"response_format",
|
||||
]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,54 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel, Nullable, UNSET_SENTINEL
|
||||
from pydantic import model_serializer
|
||||
from typing import Dict, List
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
class CompletionLogprobsTypedDict(TypedDict):
|
||||
tokens: List[str]
|
||||
token_logprobs: List[float]
|
||||
top_logprobs: Nullable[List[Dict[str, float]]]
|
||||
text_offset: List[float]
|
||||
|
||||
|
||||
class CompletionLogprobs(BaseModel):
|
||||
tokens: List[str]
|
||||
|
||||
token_logprobs: List[float]
|
||||
|
||||
top_logprobs: Nullable[List[Dict[str, float]]]
|
||||
|
||||
text_offset: List[float]
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = []
|
||||
nullable_fields = ["top_logprobs"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,43 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .completionchoice import CompletionChoice, CompletionChoiceTypedDict
|
||||
from .completionusage import CompletionUsage, CompletionUsageTypedDict
|
||||
from openrouter.types import BaseModel
|
||||
from openrouter.utils import validate_const
|
||||
import pydantic
|
||||
from pydantic.functional_validators import AfterValidator
|
||||
from typing import List, Literal, Optional
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
class CompletionResponseTypedDict(TypedDict):
|
||||
id: str
|
||||
created: float
|
||||
model: str
|
||||
choices: List[CompletionChoiceTypedDict]
|
||||
object: Literal["text_completion"]
|
||||
system_fingerprint: NotRequired[str]
|
||||
usage: NotRequired[CompletionUsageTypedDict]
|
||||
|
||||
|
||||
class CompletionResponse(BaseModel):
|
||||
id: str
|
||||
|
||||
created: float
|
||||
|
||||
model: str
|
||||
|
||||
choices: List[CompletionChoice]
|
||||
|
||||
OBJECT: Annotated[
|
||||
Annotated[
|
||||
Literal["text_completion"],
|
||||
AfterValidator(validate_const("text_completion")),
|
||||
],
|
||||
pydantic.Field(alias="object"),
|
||||
] = "text_completion"
|
||||
|
||||
system_fingerprint: Optional[str] = None
|
||||
|
||||
usage: Optional[CompletionUsage] = None
|
||||
@@ -1,19 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
class CompletionUsageTypedDict(TypedDict):
|
||||
prompt_tokens: float
|
||||
completion_tokens: float
|
||||
total_tokens: float
|
||||
|
||||
|
||||
class CompletionUsage(BaseModel):
|
||||
prompt_tokens: float
|
||||
|
||||
completion_tokens: float
|
||||
|
||||
total_tokens: float
|
||||
@@ -1,133 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from datetime import datetime
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
UnrecognizedStr,
|
||||
)
|
||||
from openrouter.utils import validate_open_enum
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing import Literal, Optional, Union
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
CreateAuthKeysCodeCodeChallengeMethod = Union[
|
||||
Literal[
|
||||
"S256",
|
||||
"plain",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
r"""The method used to generate the code challenge"""
|
||||
|
||||
|
||||
class CreateAuthKeysCodeRequestTypedDict(TypedDict):
|
||||
callback_url: str
|
||||
r"""The callback URL to redirect to after authorization. Note, only https URLs on ports 443 and 3000 are allowed."""
|
||||
code_challenge: NotRequired[str]
|
||||
r"""PKCE code challenge for enhanced security"""
|
||||
code_challenge_method: NotRequired[CreateAuthKeysCodeCodeChallengeMethod]
|
||||
r"""The method used to generate the code challenge"""
|
||||
limit: NotRequired[float]
|
||||
r"""Credit limit for the API key to be created"""
|
||||
expires_at: NotRequired[Nullable[datetime]]
|
||||
r"""Optional expiration time for the API key to be created"""
|
||||
|
||||
|
||||
class CreateAuthKeysCodeRequest(BaseModel):
|
||||
callback_url: str
|
||||
r"""The callback URL to redirect to after authorization. Note, only https URLs on ports 443 and 3000 are allowed."""
|
||||
|
||||
code_challenge: Optional[str] = None
|
||||
r"""PKCE code challenge for enhanced security"""
|
||||
|
||||
code_challenge_method: Annotated[
|
||||
Optional[CreateAuthKeysCodeCodeChallengeMethod],
|
||||
PlainValidator(validate_open_enum(False)),
|
||||
] = None
|
||||
r"""The method used to generate the code challenge"""
|
||||
|
||||
limit: Optional[float] = None
|
||||
r"""Credit limit for the API key to be created"""
|
||||
|
||||
expires_at: OptionalNullable[datetime] = UNSET
|
||||
r"""Optional expiration time for the API key to be created"""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = [
|
||||
"code_challenge",
|
||||
"code_challenge_method",
|
||||
"limit",
|
||||
"expires_at",
|
||||
]
|
||||
nullable_fields = ["expires_at"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
class CreateAuthKeysCodeDataTypedDict(TypedDict):
|
||||
r"""Auth code data"""
|
||||
|
||||
id: str
|
||||
r"""The authorization code ID to use in the exchange request"""
|
||||
app_id: float
|
||||
r"""The application ID associated with this auth code"""
|
||||
created_at: str
|
||||
r"""ISO 8601 timestamp of when the auth code was created"""
|
||||
|
||||
|
||||
class CreateAuthKeysCodeData(BaseModel):
|
||||
r"""Auth code data"""
|
||||
|
||||
id: str
|
||||
r"""The authorization code ID to use in the exchange request"""
|
||||
|
||||
app_id: float
|
||||
r"""The application ID associated with this auth code"""
|
||||
|
||||
created_at: str
|
||||
r"""ISO 8601 timestamp of when the auth code was created"""
|
||||
|
||||
|
||||
class CreateAuthKeysCodeResponseTypedDict(TypedDict):
|
||||
r"""Successfully created authorization code"""
|
||||
|
||||
data: CreateAuthKeysCodeDataTypedDict
|
||||
r"""Auth code data"""
|
||||
|
||||
|
||||
class CreateAuthKeysCodeResponse(BaseModel):
|
||||
r"""Successfully created authorization code"""
|
||||
|
||||
data: CreateAuthKeysCodeData
|
||||
r"""Auth code data"""
|
||||
@@ -1,36 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel, UnrecognizedInt
|
||||
from openrouter.utils import validate_open_enum
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing import Literal, Union
|
||||
from typing_extensions import Annotated, TypedDict
|
||||
|
||||
|
||||
ChainID = Union[
|
||||
Literal[
|
||||
1,
|
||||
137,
|
||||
8453,
|
||||
],
|
||||
UnrecognizedInt,
|
||||
]
|
||||
|
||||
|
||||
class CreateChargeRequestTypedDict(TypedDict):
|
||||
r"""Create a Coinbase charge for crypto payment"""
|
||||
|
||||
amount: float
|
||||
sender: str
|
||||
chain_id: ChainID
|
||||
|
||||
|
||||
class CreateChargeRequest(BaseModel):
|
||||
r"""Create a Coinbase charge for crypto payment"""
|
||||
|
||||
amount: float
|
||||
|
||||
sender: str
|
||||
|
||||
chain_id: Annotated[ChainID, PlainValidator(validate_open_enum(True))]
|
||||
@@ -1,121 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from openrouter.utils import FieldMetadata, SecurityMetadata
|
||||
from typing_extensions import Annotated, TypedDict
|
||||
|
||||
|
||||
class CreateCoinbaseChargeSecurityTypedDict(TypedDict):
|
||||
bearer: str
|
||||
|
||||
|
||||
class CreateCoinbaseChargeSecurity(BaseModel):
|
||||
bearer: Annotated[
|
||||
str,
|
||||
FieldMetadata(
|
||||
security=SecurityMetadata(
|
||||
scheme=True,
|
||||
scheme_type="http",
|
||||
sub_type="bearer",
|
||||
field_name="Authorization",
|
||||
)
|
||||
),
|
||||
]
|
||||
|
||||
|
||||
class CallDataTypedDict(TypedDict):
|
||||
deadline: str
|
||||
fee_amount: str
|
||||
id: str
|
||||
operator: str
|
||||
prefix: str
|
||||
recipient: str
|
||||
recipient_amount: str
|
||||
recipient_currency: str
|
||||
refund_destination: str
|
||||
signature: str
|
||||
|
||||
|
||||
class CallData(BaseModel):
|
||||
deadline: str
|
||||
|
||||
fee_amount: str
|
||||
|
||||
id: str
|
||||
|
||||
operator: str
|
||||
|
||||
prefix: str
|
||||
|
||||
recipient: str
|
||||
|
||||
recipient_amount: str
|
||||
|
||||
recipient_currency: str
|
||||
|
||||
refund_destination: str
|
||||
|
||||
signature: str
|
||||
|
||||
|
||||
class MetadataTypedDict(TypedDict):
|
||||
chain_id: float
|
||||
contract_address: str
|
||||
sender: str
|
||||
|
||||
|
||||
class Metadata(BaseModel):
|
||||
chain_id: float
|
||||
|
||||
contract_address: str
|
||||
|
||||
sender: str
|
||||
|
||||
|
||||
class TransferIntentTypedDict(TypedDict):
|
||||
call_data: CallDataTypedDict
|
||||
metadata: MetadataTypedDict
|
||||
|
||||
|
||||
class TransferIntent(BaseModel):
|
||||
call_data: CallData
|
||||
|
||||
metadata: Metadata
|
||||
|
||||
|
||||
class Web3DataTypedDict(TypedDict):
|
||||
transfer_intent: TransferIntentTypedDict
|
||||
|
||||
|
||||
class Web3Data(BaseModel):
|
||||
transfer_intent: TransferIntent
|
||||
|
||||
|
||||
class CreateCoinbaseChargeDataTypedDict(TypedDict):
|
||||
id: str
|
||||
created_at: str
|
||||
expires_at: str
|
||||
web3_data: Web3DataTypedDict
|
||||
|
||||
|
||||
class CreateCoinbaseChargeData(BaseModel):
|
||||
id: str
|
||||
|
||||
created_at: str
|
||||
|
||||
expires_at: str
|
||||
|
||||
web3_data: Web3Data
|
||||
|
||||
|
||||
class CreateCoinbaseChargeResponseTypedDict(TypedDict):
|
||||
r"""Returns the calldata to fulfill the transaction"""
|
||||
|
||||
data: CreateCoinbaseChargeDataTypedDict
|
||||
|
||||
|
||||
class CreateCoinbaseChargeResponse(BaseModel):
|
||||
r"""Returns the calldata to fulfill the transaction"""
|
||||
|
||||
data: CreateCoinbaseChargeData
|
||||
@@ -1,366 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .providername import ProviderName
|
||||
from .quantization import Quantization
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
UnrecognizedStr,
|
||||
)
|
||||
from openrouter.utils import validate_open_enum
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing import Any, List, Literal, Optional, Union
|
||||
from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
|
||||
|
||||
|
||||
InputTypedDict = TypeAliasType(
|
||||
"InputTypedDict", Union[str, List[str], List[float], List[List[float]]]
|
||||
)
|
||||
|
||||
|
||||
Input = TypeAliasType("Input", Union[str, List[str], List[float], List[List[float]]])
|
||||
|
||||
|
||||
CreateEmbeddingsDataCollection = Union[
|
||||
Literal[
|
||||
"deny",
|
||||
"allow",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
r"""Data collection setting. If no available model provider meets the requirement, your request will return an error.
|
||||
- allow: (default) allow providers which store user data non-transiently and may train on it
|
||||
- deny: use only providers which do not collect user data.
|
||||
|
||||
"""
|
||||
|
||||
|
||||
CreateEmbeddingsOrderTypedDict = TypeAliasType(
|
||||
"CreateEmbeddingsOrderTypedDict", Union[ProviderName, str]
|
||||
)
|
||||
|
||||
|
||||
CreateEmbeddingsOrder = TypeAliasType(
|
||||
"CreateEmbeddingsOrder",
|
||||
Union[Annotated[ProviderName, PlainValidator(validate_open_enum(False))], str],
|
||||
)
|
||||
|
||||
|
||||
CreateEmbeddingsOnlyTypedDict = TypeAliasType(
|
||||
"CreateEmbeddingsOnlyTypedDict", Union[ProviderName, str]
|
||||
)
|
||||
|
||||
|
||||
CreateEmbeddingsOnly = TypeAliasType(
|
||||
"CreateEmbeddingsOnly",
|
||||
Union[Annotated[ProviderName, PlainValidator(validate_open_enum(False))], str],
|
||||
)
|
||||
|
||||
|
||||
CreateEmbeddingsIgnoreTypedDict = TypeAliasType(
|
||||
"CreateEmbeddingsIgnoreTypedDict", Union[ProviderName, str]
|
||||
)
|
||||
|
||||
|
||||
CreateEmbeddingsIgnore = TypeAliasType(
|
||||
"CreateEmbeddingsIgnore",
|
||||
Union[Annotated[ProviderName, PlainValidator(validate_open_enum(False))], str],
|
||||
)
|
||||
|
||||
|
||||
CreateEmbeddingsSort = Union[
|
||||
Literal[
|
||||
"price",
|
||||
"throughput",
|
||||
"latency",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
|
||||
|
||||
|
||||
class CreateEmbeddingsMaxPriceTypedDict(TypedDict):
|
||||
r"""The object specifying the maximum price you want to pay for this request. USD price per million tokens, for prompt and completion."""
|
||||
|
||||
prompt: NotRequired[Any]
|
||||
r"""A value in string or number format that is a large number"""
|
||||
completion: NotRequired[Any]
|
||||
r"""A value in string or number format that is a large number"""
|
||||
image: NotRequired[Any]
|
||||
r"""A value in string or number format that is a large number"""
|
||||
audio: NotRequired[Any]
|
||||
r"""A value in string or number format that is a large number"""
|
||||
request: NotRequired[Any]
|
||||
r"""A value in string or number format that is a large number"""
|
||||
|
||||
|
||||
class CreateEmbeddingsMaxPrice(BaseModel):
|
||||
r"""The object specifying the maximum price you want to pay for this request. USD price per million tokens, for prompt and completion."""
|
||||
|
||||
prompt: Optional[Any] = None
|
||||
r"""A value in string or number format that is a large number"""
|
||||
|
||||
completion: Optional[Any] = None
|
||||
r"""A value in string or number format that is a large number"""
|
||||
|
||||
image: Optional[Any] = None
|
||||
r"""A value in string or number format that is a large number"""
|
||||
|
||||
audio: Optional[Any] = None
|
||||
r"""A value in string or number format that is a large number"""
|
||||
|
||||
request: Optional[Any] = None
|
||||
r"""A value in string or number format that is a large number"""
|
||||
|
||||
|
||||
class CreateEmbeddingsProviderTypedDict(TypedDict):
|
||||
allow_fallbacks: NotRequired[Nullable[bool]]
|
||||
r"""Whether to allow backup providers to serve requests
|
||||
- true: (default) when the primary provider (or your custom providers in \"order\") is unavailable, use the next best provider.
|
||||
- false: use only the primary/custom provider, and return the upstream error if it's unavailable.
|
||||
|
||||
"""
|
||||
require_parameters: NotRequired[Nullable[bool]]
|
||||
r"""Whether to filter providers to only those that support the parameters you've provided. If this setting is omitted or set to false, then providers will receive only the parameters they support, and ignore the rest."""
|
||||
data_collection: NotRequired[Nullable[CreateEmbeddingsDataCollection]]
|
||||
r"""Data collection setting. If no available model provider meets the requirement, your request will return an error.
|
||||
- allow: (default) allow providers which store user data non-transiently and may train on it
|
||||
- deny: use only providers which do not collect user data.
|
||||
|
||||
"""
|
||||
zdr: NotRequired[Nullable[bool]]
|
||||
r"""Whether to restrict routing to only ZDR (Zero Data Retention) endpoints. When true, only endpoints that do not retain prompts will be used."""
|
||||
enforce_distillable_text: NotRequired[Nullable[bool]]
|
||||
r"""Whether to restrict routing to only models that allow text distillation. When true, only models where the author has allowed distillation will be used."""
|
||||
order: NotRequired[Nullable[List[CreateEmbeddingsOrderTypedDict]]]
|
||||
r"""An ordered list of provider slugs. The router will attempt to use the first provider in the subset of this list that supports your requested model, and fall back to the next if it is unavailable. If no providers are available, the request will fail with an error message."""
|
||||
only: NotRequired[Nullable[List[CreateEmbeddingsOnlyTypedDict]]]
|
||||
r"""List of provider slugs to allow. If provided, this list is merged with your account-wide allowed provider settings for this request."""
|
||||
ignore: NotRequired[Nullable[List[CreateEmbeddingsIgnoreTypedDict]]]
|
||||
r"""List of provider slugs to ignore. If provided, this list is merged with your account-wide ignored provider settings for this request."""
|
||||
quantizations: NotRequired[Nullable[List[Quantization]]]
|
||||
r"""A list of quantization levels to filter the provider by."""
|
||||
sort: NotRequired[Nullable[CreateEmbeddingsSort]]
|
||||
r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
|
||||
max_price: NotRequired[CreateEmbeddingsMaxPriceTypedDict]
|
||||
r"""The object specifying the maximum price you want to pay for this request. USD price per million tokens, for prompt and completion."""
|
||||
|
||||
|
||||
class CreateEmbeddingsProvider(BaseModel):
|
||||
allow_fallbacks: OptionalNullable[bool] = UNSET
|
||||
r"""Whether to allow backup providers to serve requests
|
||||
- true: (default) when the primary provider (or your custom providers in \"order\") is unavailable, use the next best provider.
|
||||
- false: use only the primary/custom provider, and return the upstream error if it's unavailable.
|
||||
|
||||
"""
|
||||
|
||||
require_parameters: OptionalNullable[bool] = UNSET
|
||||
r"""Whether to filter providers to only those that support the parameters you've provided. If this setting is omitted or set to false, then providers will receive only the parameters they support, and ignore the rest."""
|
||||
|
||||
data_collection: Annotated[
|
||||
OptionalNullable[CreateEmbeddingsDataCollection],
|
||||
PlainValidator(validate_open_enum(False)),
|
||||
] = UNSET
|
||||
r"""Data collection setting. If no available model provider meets the requirement, your request will return an error.
|
||||
- allow: (default) allow providers which store user data non-transiently and may train on it
|
||||
- deny: use only providers which do not collect user data.
|
||||
|
||||
"""
|
||||
|
||||
zdr: OptionalNullable[bool] = UNSET
|
||||
r"""Whether to restrict routing to only ZDR (Zero Data Retention) endpoints. When true, only endpoints that do not retain prompts will be used."""
|
||||
|
||||
enforce_distillable_text: OptionalNullable[bool] = UNSET
|
||||
r"""Whether to restrict routing to only models that allow text distillation. When true, only models where the author has allowed distillation will be used."""
|
||||
|
||||
order: OptionalNullable[List[CreateEmbeddingsOrder]] = UNSET
|
||||
r"""An ordered list of provider slugs. The router will attempt to use the first provider in the subset of this list that supports your requested model, and fall back to the next if it is unavailable. If no providers are available, the request will fail with an error message."""
|
||||
|
||||
only: OptionalNullable[List[CreateEmbeddingsOnly]] = UNSET
|
||||
r"""List of provider slugs to allow. If provided, this list is merged with your account-wide allowed provider settings for this request."""
|
||||
|
||||
ignore: OptionalNullable[List[CreateEmbeddingsIgnore]] = UNSET
|
||||
r"""List of provider slugs to ignore. If provided, this list is merged with your account-wide ignored provider settings for this request."""
|
||||
|
||||
quantizations: OptionalNullable[
|
||||
List[Annotated[Quantization, PlainValidator(validate_open_enum(False))]]
|
||||
] = UNSET
|
||||
r"""A list of quantization levels to filter the provider by."""
|
||||
|
||||
sort: Annotated[
|
||||
OptionalNullable[CreateEmbeddingsSort],
|
||||
PlainValidator(validate_open_enum(False)),
|
||||
] = UNSET
|
||||
r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
|
||||
|
||||
max_price: Optional[CreateEmbeddingsMaxPrice] = None
|
||||
r"""The object specifying the maximum price you want to pay for this request. USD price per million tokens, for prompt and completion."""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = [
|
||||
"allow_fallbacks",
|
||||
"require_parameters",
|
||||
"data_collection",
|
||||
"zdr",
|
||||
"enforce_distillable_text",
|
||||
"order",
|
||||
"only",
|
||||
"ignore",
|
||||
"quantizations",
|
||||
"sort",
|
||||
"max_price",
|
||||
]
|
||||
nullable_fields = [
|
||||
"allow_fallbacks",
|
||||
"require_parameters",
|
||||
"data_collection",
|
||||
"zdr",
|
||||
"enforce_distillable_text",
|
||||
"order",
|
||||
"only",
|
||||
"ignore",
|
||||
"quantizations",
|
||||
"sort",
|
||||
]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
EncodingFormatBase64 = Literal["base64",]
|
||||
|
||||
|
||||
EncodingFormatFloat = Literal["float",]
|
||||
|
||||
|
||||
EncodingFormatTypedDict = TypeAliasType(
|
||||
"EncodingFormatTypedDict", Union[EncodingFormatFloat, EncodingFormatBase64]
|
||||
)
|
||||
|
||||
|
||||
EncodingFormat = TypeAliasType(
|
||||
"EncodingFormat", Union[EncodingFormatFloat, EncodingFormatBase64]
|
||||
)
|
||||
|
||||
|
||||
class CreateEmbeddingsRequestTypedDict(TypedDict):
|
||||
input: InputTypedDict
|
||||
model: str
|
||||
provider: NotRequired[CreateEmbeddingsProviderTypedDict]
|
||||
encoding_format: NotRequired[EncodingFormatTypedDict]
|
||||
user: NotRequired[str]
|
||||
|
||||
|
||||
class CreateEmbeddingsRequest(BaseModel):
|
||||
input: Input
|
||||
|
||||
model: str
|
||||
|
||||
provider: Optional[CreateEmbeddingsProvider] = None
|
||||
|
||||
encoding_format: Optional[EncodingFormat] = None
|
||||
|
||||
user: Optional[str] = None
|
||||
|
||||
|
||||
CreateEmbeddingsObject = Literal["list",]
|
||||
|
||||
|
||||
ObjectEmbedding = Literal["embedding",]
|
||||
|
||||
|
||||
EmbeddingTypedDict = TypeAliasType("EmbeddingTypedDict", Union[List[float], str])
|
||||
|
||||
|
||||
Embedding = TypeAliasType("Embedding", Union[List[float], str])
|
||||
|
||||
|
||||
class CreateEmbeddingsDataTypedDict(TypedDict):
|
||||
object: ObjectEmbedding
|
||||
embedding: EmbeddingTypedDict
|
||||
index: NotRequired[float]
|
||||
|
||||
|
||||
class CreateEmbeddingsData(BaseModel):
|
||||
object: ObjectEmbedding
|
||||
|
||||
embedding: Embedding
|
||||
|
||||
index: Optional[float] = None
|
||||
|
||||
|
||||
class UsageTypedDict(TypedDict):
|
||||
prompt_tokens: float
|
||||
total_tokens: float
|
||||
cost: NotRequired[float]
|
||||
|
||||
|
||||
class Usage(BaseModel):
|
||||
prompt_tokens: float
|
||||
|
||||
total_tokens: float
|
||||
|
||||
cost: Optional[float] = None
|
||||
|
||||
|
||||
class CreateEmbeddingsResponseBodyTypedDict(TypedDict):
|
||||
r"""Embedding response"""
|
||||
|
||||
object: CreateEmbeddingsObject
|
||||
data: List[CreateEmbeddingsDataTypedDict]
|
||||
model: str
|
||||
id: NotRequired[str]
|
||||
usage: NotRequired[UsageTypedDict]
|
||||
|
||||
|
||||
class CreateEmbeddingsResponseBody(BaseModel):
|
||||
r"""Embedding response"""
|
||||
|
||||
object: CreateEmbeddingsObject
|
||||
|
||||
data: List[CreateEmbeddingsData]
|
||||
|
||||
model: str
|
||||
|
||||
id: Optional[str] = None
|
||||
|
||||
usage: Optional[Usage] = None
|
||||
|
||||
|
||||
CreateEmbeddingsResponseTypedDict = TypeAliasType(
|
||||
"CreateEmbeddingsResponseTypedDict",
|
||||
Union[CreateEmbeddingsResponseBodyTypedDict, str],
|
||||
)
|
||||
|
||||
|
||||
CreateEmbeddingsResponse = TypeAliasType(
|
||||
"CreateEmbeddingsResponse", Union[CreateEmbeddingsResponseBody, str]
|
||||
)
|
||||
@@ -1,255 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from datetime import datetime
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
UnrecognizedStr,
|
||||
)
|
||||
from openrouter.utils import validate_open_enum
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing import Literal, Optional, Union
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
CreateKeysLimitReset = Union[
|
||||
Literal[
|
||||
"daily",
|
||||
"weekly",
|
||||
"monthly",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
r"""Type of limit reset for the API key (daily, weekly, monthly, or null for no reset). Resets happen automatically at midnight UTC, and weeks are Monday through Sunday."""
|
||||
|
||||
|
||||
class CreateKeysRequestTypedDict(TypedDict):
|
||||
name: str
|
||||
r"""Name for the new API key"""
|
||||
limit: NotRequired[Nullable[float]]
|
||||
r"""Optional spending limit for the API key in USD"""
|
||||
limit_reset: NotRequired[Nullable[CreateKeysLimitReset]]
|
||||
r"""Type of limit reset for the API key (daily, weekly, monthly, or null for no reset). Resets happen automatically at midnight UTC, and weeks are Monday through Sunday."""
|
||||
include_byok_in_limit: NotRequired[bool]
|
||||
r"""Whether to include BYOK usage in the limit"""
|
||||
expires_at: NotRequired[Nullable[datetime]]
|
||||
r"""Optional ISO 8601 UTC timestamp when the API key should expire. Must be UTC, other timezones will be rejected"""
|
||||
|
||||
|
||||
class CreateKeysRequest(BaseModel):
|
||||
name: str
|
||||
r"""Name for the new API key"""
|
||||
|
||||
limit: OptionalNullable[float] = UNSET
|
||||
r"""Optional spending limit for the API key in USD"""
|
||||
|
||||
limit_reset: Annotated[
|
||||
OptionalNullable[CreateKeysLimitReset],
|
||||
PlainValidator(validate_open_enum(False)),
|
||||
] = UNSET
|
||||
r"""Type of limit reset for the API key (daily, weekly, monthly, or null for no reset). Resets happen automatically at midnight UTC, and weeks are Monday through Sunday."""
|
||||
|
||||
include_byok_in_limit: Optional[bool] = None
|
||||
r"""Whether to include BYOK usage in the limit"""
|
||||
|
||||
expires_at: OptionalNullable[datetime] = UNSET
|
||||
r"""Optional ISO 8601 UTC timestamp when the API key should expire. Must be UTC, other timezones will be rejected"""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = [
|
||||
"limit",
|
||||
"limit_reset",
|
||||
"include_byok_in_limit",
|
||||
"expires_at",
|
||||
]
|
||||
nullable_fields = ["limit", "limit_reset", "expires_at"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
class CreateKeysDataTypedDict(TypedDict):
|
||||
r"""The created API key information"""
|
||||
|
||||
hash: str
|
||||
r"""Unique hash identifier for the API key"""
|
||||
name: str
|
||||
r"""Name of the API key"""
|
||||
label: str
|
||||
r"""Human-readable label for the API key"""
|
||||
disabled: bool
|
||||
r"""Whether the API key is disabled"""
|
||||
limit: Nullable[float]
|
||||
r"""Spending limit for the API key in USD"""
|
||||
limit_remaining: Nullable[float]
|
||||
r"""Remaining spending limit in USD"""
|
||||
limit_reset: Nullable[str]
|
||||
r"""Type of limit reset for the API key"""
|
||||
include_byok_in_limit: bool
|
||||
r"""Whether to include external BYOK usage in the credit limit"""
|
||||
usage: float
|
||||
r"""Total OpenRouter credit usage (in USD) for the API key"""
|
||||
usage_daily: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC day"""
|
||||
usage_weekly: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC week (Monday-Sunday)"""
|
||||
usage_monthly: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC month"""
|
||||
byok_usage: float
|
||||
r"""Total external BYOK usage (in USD) for the API key"""
|
||||
byok_usage_daily: float
|
||||
r"""External BYOK usage (in USD) for the current UTC day"""
|
||||
byok_usage_weekly: float
|
||||
r"""External BYOK usage (in USD) for the current UTC week (Monday-Sunday)"""
|
||||
byok_usage_monthly: float
|
||||
r"""External BYOK usage (in USD) for current UTC month"""
|
||||
created_at: str
|
||||
r"""ISO 8601 timestamp of when the API key was created"""
|
||||
updated_at: Nullable[str]
|
||||
r"""ISO 8601 timestamp of when the API key was last updated"""
|
||||
expires_at: NotRequired[Nullable[datetime]]
|
||||
r"""ISO 8601 UTC timestamp when the API key expires, or null if no expiration"""
|
||||
|
||||
|
||||
class CreateKeysData(BaseModel):
|
||||
r"""The created API key information"""
|
||||
|
||||
hash: str
|
||||
r"""Unique hash identifier for the API key"""
|
||||
|
||||
name: str
|
||||
r"""Name of the API key"""
|
||||
|
||||
label: str
|
||||
r"""Human-readable label for the API key"""
|
||||
|
||||
disabled: bool
|
||||
r"""Whether the API key is disabled"""
|
||||
|
||||
limit: Nullable[float]
|
||||
r"""Spending limit for the API key in USD"""
|
||||
|
||||
limit_remaining: Nullable[float]
|
||||
r"""Remaining spending limit in USD"""
|
||||
|
||||
limit_reset: Nullable[str]
|
||||
r"""Type of limit reset for the API key"""
|
||||
|
||||
include_byok_in_limit: bool
|
||||
r"""Whether to include external BYOK usage in the credit limit"""
|
||||
|
||||
usage: float
|
||||
r"""Total OpenRouter credit usage (in USD) for the API key"""
|
||||
|
||||
usage_daily: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC day"""
|
||||
|
||||
usage_weekly: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC week (Monday-Sunday)"""
|
||||
|
||||
usage_monthly: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC month"""
|
||||
|
||||
byok_usage: float
|
||||
r"""Total external BYOK usage (in USD) for the API key"""
|
||||
|
||||
byok_usage_daily: float
|
||||
r"""External BYOK usage (in USD) for the current UTC day"""
|
||||
|
||||
byok_usage_weekly: float
|
||||
r"""External BYOK usage (in USD) for the current UTC week (Monday-Sunday)"""
|
||||
|
||||
byok_usage_monthly: float
|
||||
r"""External BYOK usage (in USD) for current UTC month"""
|
||||
|
||||
created_at: str
|
||||
r"""ISO 8601 timestamp of when the API key was created"""
|
||||
|
||||
updated_at: Nullable[str]
|
||||
r"""ISO 8601 timestamp of when the API key was last updated"""
|
||||
|
||||
expires_at: OptionalNullable[datetime] = UNSET
|
||||
r"""ISO 8601 UTC timestamp when the API key expires, or null if no expiration"""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["expires_at"]
|
||||
nullable_fields = [
|
||||
"limit",
|
||||
"limit_remaining",
|
||||
"limit_reset",
|
||||
"updated_at",
|
||||
"expires_at",
|
||||
]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
class CreateKeysResponseTypedDict(TypedDict):
|
||||
r"""API key created successfully"""
|
||||
|
||||
data: CreateKeysDataTypedDict
|
||||
r"""The created API key information"""
|
||||
key: str
|
||||
r"""The actual API key string (only shown once)"""
|
||||
|
||||
|
||||
class CreateKeysResponse(BaseModel):
|
||||
r"""API key created successfully"""
|
||||
|
||||
data: CreateKeysData
|
||||
r"""The created API key information"""
|
||||
|
||||
key: str
|
||||
r"""The actual API key string (only shown once)"""
|
||||
@@ -1,53 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .openresponsesnonstreamingresponse import (
|
||||
OpenResponsesNonStreamingResponse,
|
||||
OpenResponsesNonStreamingResponseTypedDict,
|
||||
)
|
||||
from .openresponsesstreamevent import (
|
||||
OpenResponsesStreamEvent,
|
||||
OpenResponsesStreamEventTypedDict,
|
||||
)
|
||||
from openrouter.types import BaseModel
|
||||
from openrouter.utils import eventstreaming
|
||||
from typing import Union
|
||||
from typing_extensions import TypeAliasType, TypedDict
|
||||
|
||||
|
||||
class CreateResponsesResponseBodyTypedDict(TypedDict):
|
||||
r"""Successful response"""
|
||||
|
||||
data: OpenResponsesStreamEventTypedDict
|
||||
r"""Union of all possible event types emitted during response streaming"""
|
||||
|
||||
|
||||
class CreateResponsesResponseBody(BaseModel):
|
||||
r"""Successful response"""
|
||||
|
||||
data: OpenResponsesStreamEvent
|
||||
r"""Union of all possible event types emitted during response streaming"""
|
||||
|
||||
|
||||
CreateResponsesResponseTypedDict = TypeAliasType(
|
||||
"CreateResponsesResponseTypedDict",
|
||||
Union[
|
||||
OpenResponsesNonStreamingResponseTypedDict,
|
||||
Union[
|
||||
eventstreaming.EventStream[OpenResponsesStreamEventTypedDict],
|
||||
eventstreaming.EventStreamAsync[OpenResponsesStreamEventTypedDict],
|
||||
],
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
CreateResponsesResponse = TypeAliasType(
|
||||
"CreateResponsesResponse",
|
||||
Union[
|
||||
OpenResponsesNonStreamingResponse,
|
||||
Union[
|
||||
eventstreaming.EventStream[OpenResponsesStreamEvent],
|
||||
eventstreaming.EventStreamAsync[OpenResponsesStreamEvent],
|
||||
],
|
||||
],
|
||||
)
|
||||
@@ -1,60 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from pydantic import model_serializer
|
||||
from typing_extensions import NotRequired, TypedDict
|
||||
|
||||
|
||||
class DefaultParametersTypedDict(TypedDict):
|
||||
r"""Default parameters for this model"""
|
||||
|
||||
temperature: NotRequired[Nullable[float]]
|
||||
top_p: NotRequired[Nullable[float]]
|
||||
frequency_penalty: NotRequired[Nullable[float]]
|
||||
|
||||
|
||||
class DefaultParameters(BaseModel):
|
||||
r"""Default parameters for this model"""
|
||||
|
||||
temperature: OptionalNullable[float] = UNSET
|
||||
|
||||
top_p: OptionalNullable[float] = UNSET
|
||||
|
||||
frequency_penalty: OptionalNullable[float] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["temperature", "top_p", "frequency_penalty"]
|
||||
nullable_fields = ["temperature", "top_p", "frequency_penalty"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,38 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from openrouter.utils import FieldMetadata, PathParamMetadata, validate_const
|
||||
import pydantic
|
||||
from pydantic.functional_validators import AfterValidator
|
||||
from typing import Literal
|
||||
from typing_extensions import Annotated, TypedDict
|
||||
|
||||
|
||||
class DeleteKeysRequestTypedDict(TypedDict):
|
||||
hash: str
|
||||
r"""The hash identifier of the API key to delete"""
|
||||
|
||||
|
||||
class DeleteKeysRequest(BaseModel):
|
||||
hash: Annotated[
|
||||
str, FieldMetadata(path=PathParamMetadata(style="simple", explode=False))
|
||||
]
|
||||
r"""The hash identifier of the API key to delete"""
|
||||
|
||||
|
||||
class DeleteKeysResponseTypedDict(TypedDict):
|
||||
r"""API key deleted successfully"""
|
||||
|
||||
deleted: Literal[True]
|
||||
r"""Confirmation that the API key was deleted"""
|
||||
|
||||
|
||||
class DeleteKeysResponse(BaseModel):
|
||||
r"""API key deleted successfully"""
|
||||
|
||||
DELETED: Annotated[
|
||||
Annotated[Literal[True], AfterValidator(validate_const(True))],
|
||||
pydantic.Field(alias="deleted"),
|
||||
] = True
|
||||
r"""Confirmation that the API key was deleted"""
|
||||
@@ -1,61 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from pydantic import model_serializer
|
||||
from typing import Any, Dict
|
||||
from typing_extensions import NotRequired, TypedDict
|
||||
|
||||
|
||||
class EdgeNetworkTimeoutResponseErrorDataTypedDict(TypedDict):
|
||||
r"""Error data for EdgeNetworkTimeoutResponse"""
|
||||
|
||||
code: int
|
||||
message: str
|
||||
metadata: NotRequired[Nullable[Dict[str, Nullable[Any]]]]
|
||||
|
||||
|
||||
class EdgeNetworkTimeoutResponseErrorData(BaseModel):
|
||||
r"""Error data for EdgeNetworkTimeoutResponse"""
|
||||
|
||||
code: int
|
||||
|
||||
message: str
|
||||
|
||||
metadata: OptionalNullable[Dict[str, Nullable[Any]]] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["metadata"]
|
||||
nullable_fields = ["metadata"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,18 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import UnrecognizedInt
|
||||
from typing import Literal, Union
|
||||
|
||||
|
||||
EndpointStatus = Union[
|
||||
Literal[
|
||||
0,
|
||||
-1,
|
||||
-2,
|
||||
-3,
|
||||
-5,
|
||||
-10,
|
||||
],
|
||||
UnrecognizedInt,
|
||||
]
|
||||
@@ -1,130 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
UnrecognizedStr,
|
||||
)
|
||||
from openrouter.utils import validate_open_enum
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing import Literal, Optional, Union
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
ExchangeAuthCodeForAPIKeyCodeChallengeMethod = Union[
|
||||
Literal[
|
||||
"S256",
|
||||
"plain",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
r"""The method used to generate the code challenge"""
|
||||
|
||||
|
||||
class ExchangeAuthCodeForAPIKeyRequestTypedDict(TypedDict):
|
||||
code: str
|
||||
r"""The authorization code received from the OAuth redirect"""
|
||||
code_verifier: NotRequired[str]
|
||||
r"""The code verifier if code_challenge was used in the authorization request"""
|
||||
code_challenge_method: NotRequired[
|
||||
Nullable[ExchangeAuthCodeForAPIKeyCodeChallengeMethod]
|
||||
]
|
||||
r"""The method used to generate the code challenge"""
|
||||
|
||||
|
||||
class ExchangeAuthCodeForAPIKeyRequest(BaseModel):
|
||||
code: str
|
||||
r"""The authorization code received from the OAuth redirect"""
|
||||
|
||||
code_verifier: Optional[str] = None
|
||||
r"""The code verifier if code_challenge was used in the authorization request"""
|
||||
|
||||
code_challenge_method: Annotated[
|
||||
OptionalNullable[ExchangeAuthCodeForAPIKeyCodeChallengeMethod],
|
||||
PlainValidator(validate_open_enum(False)),
|
||||
] = UNSET
|
||||
r"""The method used to generate the code challenge"""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["code_verifier", "code_challenge_method"]
|
||||
nullable_fields = ["code_challenge_method"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
class ExchangeAuthCodeForAPIKeyResponseTypedDict(TypedDict):
|
||||
r"""Successfully exchanged code for an API key"""
|
||||
|
||||
key: str
|
||||
r"""The API key to use for OpenRouter requests"""
|
||||
user_id: Nullable[str]
|
||||
r"""User ID associated with the API key"""
|
||||
|
||||
|
||||
class ExchangeAuthCodeForAPIKeyResponse(BaseModel):
|
||||
r"""Successfully exchanged code for an API key"""
|
||||
|
||||
key: str
|
||||
r"""The API key to use for OpenRouter requests"""
|
||||
|
||||
user_id: Nullable[str]
|
||||
r"""User ID associated with the API key"""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = []
|
||||
nullable_fields = ["user_id"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,26 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from typing import Literal
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
FileCitationType = Literal["file_citation",]
|
||||
|
||||
|
||||
class FileCitationTypedDict(TypedDict):
|
||||
type: FileCitationType
|
||||
file_id: str
|
||||
filename: str
|
||||
index: float
|
||||
|
||||
|
||||
class FileCitation(BaseModel):
|
||||
type: FileCitationType
|
||||
|
||||
file_id: str
|
||||
|
||||
filename: str
|
||||
|
||||
index: float
|
||||
@@ -1,23 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from typing import Literal
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
FilePathType = Literal["file_path",]
|
||||
|
||||
|
||||
class FilePathTypedDict(TypedDict):
|
||||
type: FilePathType
|
||||
file_id: str
|
||||
index: float
|
||||
|
||||
|
||||
class FilePath(BaseModel):
|
||||
type: FilePathType
|
||||
|
||||
file_id: str
|
||||
|
||||
index: float
|
||||
@@ -1,61 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from pydantic import model_serializer
|
||||
from typing import Any, Dict
|
||||
from typing_extensions import NotRequired, TypedDict
|
||||
|
||||
|
||||
class ForbiddenResponseErrorDataTypedDict(TypedDict):
|
||||
r"""Error data for ForbiddenResponse"""
|
||||
|
||||
code: int
|
||||
message: str
|
||||
metadata: NotRequired[Nullable[Dict[str, Nullable[Any]]]]
|
||||
|
||||
|
||||
class ForbiddenResponseErrorData(BaseModel):
|
||||
r"""Error data for ForbiddenResponse"""
|
||||
|
||||
code: int
|
||||
|
||||
message: str
|
||||
|
||||
metadata: OptionalNullable[Dict[str, Nullable[Any]]] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["metadata"]
|
||||
nullable_fields = ["metadata"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,13 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
class GetCreditsResponseTypedDict(TypedDict):
|
||||
r"""Total credits purchased and used"""
|
||||
|
||||
|
||||
class GetCreditsResponse(BaseModel):
|
||||
r"""Total credits purchased and used"""
|
||||
@@ -1,187 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from datetime import datetime
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
import pydantic
|
||||
from pydantic import model_serializer
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict, deprecated
|
||||
|
||||
|
||||
@deprecated(
|
||||
"warning: ** DEPRECATED ** - This will be removed in a future release, please migrate away from it as soon as possible."
|
||||
)
|
||||
class RateLimitTypedDict(TypedDict):
|
||||
r"""Legacy rate limit information about a key. Will always return -1."""
|
||||
|
||||
requests: float
|
||||
r"""Number of requests allowed per interval"""
|
||||
interval: str
|
||||
r"""Rate limit interval"""
|
||||
note: str
|
||||
r"""Note about the rate limit"""
|
||||
|
||||
|
||||
@deprecated(
|
||||
"warning: ** DEPRECATED ** - This will be removed in a future release, please migrate away from it as soon as possible."
|
||||
)
|
||||
class RateLimit(BaseModel):
|
||||
r"""Legacy rate limit information about a key. Will always return -1."""
|
||||
|
||||
requests: float
|
||||
r"""Number of requests allowed per interval"""
|
||||
|
||||
interval: str
|
||||
r"""Rate limit interval"""
|
||||
|
||||
note: str
|
||||
r"""Note about the rate limit"""
|
||||
|
||||
|
||||
class GetCurrentKeyDataTypedDict(TypedDict):
|
||||
r"""Current API key information"""
|
||||
|
||||
label: str
|
||||
r"""Human-readable label for the API key"""
|
||||
limit: Nullable[float]
|
||||
r"""Spending limit for the API key in USD"""
|
||||
usage: float
|
||||
r"""Total OpenRouter credit usage (in USD) for the API key"""
|
||||
usage_daily: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC day"""
|
||||
usage_weekly: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC week (Monday-Sunday)"""
|
||||
usage_monthly: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC month"""
|
||||
byok_usage: float
|
||||
r"""Total external BYOK usage (in USD) for the API key"""
|
||||
byok_usage_daily: float
|
||||
r"""External BYOK usage (in USD) for the current UTC day"""
|
||||
byok_usage_weekly: float
|
||||
r"""External BYOK usage (in USD) for the current UTC week (Monday-Sunday)"""
|
||||
byok_usage_monthly: float
|
||||
r"""External BYOK usage (in USD) for current UTC month"""
|
||||
is_free_tier: bool
|
||||
r"""Whether this is a free tier API key"""
|
||||
is_provisioning_key: bool
|
||||
r"""Whether this is a provisioning key"""
|
||||
limit_remaining: Nullable[float]
|
||||
r"""Remaining spending limit in USD"""
|
||||
limit_reset: Nullable[str]
|
||||
r"""Type of limit reset for the API key"""
|
||||
include_byok_in_limit: bool
|
||||
r"""Whether to include external BYOK usage in the credit limit"""
|
||||
rate_limit: RateLimitTypedDict
|
||||
r"""Legacy rate limit information about a key. Will always return -1."""
|
||||
expires_at: NotRequired[Nullable[datetime]]
|
||||
r"""ISO 8601 UTC timestamp when the API key expires, or null if no expiration"""
|
||||
|
||||
|
||||
class GetCurrentKeyData(BaseModel):
|
||||
r"""Current API key information"""
|
||||
|
||||
label: str
|
||||
r"""Human-readable label for the API key"""
|
||||
|
||||
limit: Nullable[float]
|
||||
r"""Spending limit for the API key in USD"""
|
||||
|
||||
usage: float
|
||||
r"""Total OpenRouter credit usage (in USD) for the API key"""
|
||||
|
||||
usage_daily: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC day"""
|
||||
|
||||
usage_weekly: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC week (Monday-Sunday)"""
|
||||
|
||||
usage_monthly: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC month"""
|
||||
|
||||
byok_usage: float
|
||||
r"""Total external BYOK usage (in USD) for the API key"""
|
||||
|
||||
byok_usage_daily: float
|
||||
r"""External BYOK usage (in USD) for the current UTC day"""
|
||||
|
||||
byok_usage_weekly: float
|
||||
r"""External BYOK usage (in USD) for the current UTC week (Monday-Sunday)"""
|
||||
|
||||
byok_usage_monthly: float
|
||||
r"""External BYOK usage (in USD) for current UTC month"""
|
||||
|
||||
is_free_tier: bool
|
||||
r"""Whether this is a free tier API key"""
|
||||
|
||||
is_provisioning_key: bool
|
||||
r"""Whether this is a provisioning key"""
|
||||
|
||||
limit_remaining: Nullable[float]
|
||||
r"""Remaining spending limit in USD"""
|
||||
|
||||
limit_reset: Nullable[str]
|
||||
r"""Type of limit reset for the API key"""
|
||||
|
||||
include_byok_in_limit: bool
|
||||
r"""Whether to include external BYOK usage in the credit limit"""
|
||||
|
||||
rate_limit: Annotated[
|
||||
RateLimit,
|
||||
pydantic.Field(
|
||||
deprecated="warning: ** DEPRECATED ** - This will be removed in a future release, please migrate away from it as soon as possible."
|
||||
),
|
||||
]
|
||||
r"""Legacy rate limit information about a key. Will always return -1."""
|
||||
|
||||
expires_at: OptionalNullable[datetime] = UNSET
|
||||
r"""ISO 8601 UTC timestamp when the API key expires, or null if no expiration"""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["expires_at"]
|
||||
nullable_fields = ["limit", "limit_remaining", "limit_reset", "expires_at"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
class GetCurrentKeyResponseTypedDict(TypedDict):
|
||||
r"""API key details"""
|
||||
|
||||
data: GetCurrentKeyDataTypedDict
|
||||
r"""Current API key information"""
|
||||
|
||||
|
||||
class GetCurrentKeyResponse(BaseModel):
|
||||
r"""API key details"""
|
||||
|
||||
data: GetCurrentKeyData
|
||||
r"""Current API key information"""
|
||||
@@ -1,268 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel, Nullable, UNSET_SENTINEL, UnrecognizedStr
|
||||
from openrouter.utils import FieldMetadata, QueryParamMetadata, validate_open_enum
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing import Literal, Union
|
||||
from typing_extensions import Annotated, TypedDict
|
||||
|
||||
|
||||
class GetGenerationRequestTypedDict(TypedDict):
|
||||
id: str
|
||||
|
||||
|
||||
class GetGenerationRequest(BaseModel):
|
||||
id: Annotated[
|
||||
str, FieldMetadata(query=QueryParamMetadata(style="form", explode=True))
|
||||
]
|
||||
|
||||
|
||||
APIType = Union[
|
||||
Literal[
|
||||
"completions",
|
||||
"embeddings",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
r"""Type of API used for the generation"""
|
||||
|
||||
|
||||
class GetGenerationDataTypedDict(TypedDict):
|
||||
r"""Generation data"""
|
||||
|
||||
id: str
|
||||
r"""Unique identifier for the generation"""
|
||||
upstream_id: Nullable[str]
|
||||
r"""Upstream provider's identifier for this generation"""
|
||||
total_cost: float
|
||||
r"""Total cost of the generation in USD"""
|
||||
cache_discount: Nullable[float]
|
||||
r"""Discount applied due to caching"""
|
||||
upstream_inference_cost: Nullable[float]
|
||||
r"""Cost charged by the upstream provider"""
|
||||
created_at: str
|
||||
r"""ISO 8601 timestamp of when the generation was created"""
|
||||
model: str
|
||||
r"""Model used for the generation"""
|
||||
app_id: Nullable[float]
|
||||
r"""ID of the app that made the request"""
|
||||
streamed: Nullable[bool]
|
||||
r"""Whether the response was streamed"""
|
||||
cancelled: Nullable[bool]
|
||||
r"""Whether the generation was cancelled"""
|
||||
provider_name: Nullable[str]
|
||||
r"""Name of the provider that served the request"""
|
||||
latency: Nullable[float]
|
||||
r"""Total latency in milliseconds"""
|
||||
moderation_latency: Nullable[float]
|
||||
r"""Moderation latency in milliseconds"""
|
||||
generation_time: Nullable[float]
|
||||
r"""Time taken for generation in milliseconds"""
|
||||
finish_reason: Nullable[str]
|
||||
r"""Reason the generation finished"""
|
||||
tokens_prompt: Nullable[float]
|
||||
r"""Number of tokens in the prompt"""
|
||||
tokens_completion: Nullable[float]
|
||||
r"""Number of tokens in the completion"""
|
||||
native_tokens_prompt: Nullable[float]
|
||||
r"""Native prompt tokens as reported by provider"""
|
||||
native_tokens_completion: Nullable[float]
|
||||
r"""Native completion tokens as reported by provider"""
|
||||
native_tokens_completion_images: Nullable[float]
|
||||
r"""Native completion image tokens as reported by provider"""
|
||||
native_tokens_reasoning: Nullable[float]
|
||||
r"""Native reasoning tokens as reported by provider"""
|
||||
native_tokens_cached: Nullable[float]
|
||||
r"""Native cached tokens as reported by provider"""
|
||||
num_media_prompt: Nullable[float]
|
||||
r"""Number of media items in the prompt"""
|
||||
num_input_audio_prompt: Nullable[float]
|
||||
r"""Number of audio inputs in the prompt"""
|
||||
num_media_completion: Nullable[float]
|
||||
r"""Number of media items in the completion"""
|
||||
num_search_results: Nullable[float]
|
||||
r"""Number of search results included"""
|
||||
origin: str
|
||||
r"""Origin URL of the request"""
|
||||
usage: float
|
||||
r"""Usage amount in USD"""
|
||||
is_byok: bool
|
||||
r"""Whether this used bring-your-own-key"""
|
||||
native_finish_reason: Nullable[str]
|
||||
r"""Native finish reason as reported by provider"""
|
||||
external_user: Nullable[str]
|
||||
r"""External user identifier"""
|
||||
api_type: Nullable[APIType]
|
||||
r"""Type of API used for the generation"""
|
||||
|
||||
|
||||
class GetGenerationData(BaseModel):
|
||||
r"""Generation data"""
|
||||
|
||||
id: str
|
||||
r"""Unique identifier for the generation"""
|
||||
|
||||
upstream_id: Nullable[str]
|
||||
r"""Upstream provider's identifier for this generation"""
|
||||
|
||||
total_cost: float
|
||||
r"""Total cost of the generation in USD"""
|
||||
|
||||
cache_discount: Nullable[float]
|
||||
r"""Discount applied due to caching"""
|
||||
|
||||
upstream_inference_cost: Nullable[float]
|
||||
r"""Cost charged by the upstream provider"""
|
||||
|
||||
created_at: str
|
||||
r"""ISO 8601 timestamp of when the generation was created"""
|
||||
|
||||
model: str
|
||||
r"""Model used for the generation"""
|
||||
|
||||
app_id: Nullable[float]
|
||||
r"""ID of the app that made the request"""
|
||||
|
||||
streamed: Nullable[bool]
|
||||
r"""Whether the response was streamed"""
|
||||
|
||||
cancelled: Nullable[bool]
|
||||
r"""Whether the generation was cancelled"""
|
||||
|
||||
provider_name: Nullable[str]
|
||||
r"""Name of the provider that served the request"""
|
||||
|
||||
latency: Nullable[float]
|
||||
r"""Total latency in milliseconds"""
|
||||
|
||||
moderation_latency: Nullable[float]
|
||||
r"""Moderation latency in milliseconds"""
|
||||
|
||||
generation_time: Nullable[float]
|
||||
r"""Time taken for generation in milliseconds"""
|
||||
|
||||
finish_reason: Nullable[str]
|
||||
r"""Reason the generation finished"""
|
||||
|
||||
tokens_prompt: Nullable[float]
|
||||
r"""Number of tokens in the prompt"""
|
||||
|
||||
tokens_completion: Nullable[float]
|
||||
r"""Number of tokens in the completion"""
|
||||
|
||||
native_tokens_prompt: Nullable[float]
|
||||
r"""Native prompt tokens as reported by provider"""
|
||||
|
||||
native_tokens_completion: Nullable[float]
|
||||
r"""Native completion tokens as reported by provider"""
|
||||
|
||||
native_tokens_completion_images: Nullable[float]
|
||||
r"""Native completion image tokens as reported by provider"""
|
||||
|
||||
native_tokens_reasoning: Nullable[float]
|
||||
r"""Native reasoning tokens as reported by provider"""
|
||||
|
||||
native_tokens_cached: Nullable[float]
|
||||
r"""Native cached tokens as reported by provider"""
|
||||
|
||||
num_media_prompt: Nullable[float]
|
||||
r"""Number of media items in the prompt"""
|
||||
|
||||
num_input_audio_prompt: Nullable[float]
|
||||
r"""Number of audio inputs in the prompt"""
|
||||
|
||||
num_media_completion: Nullable[float]
|
||||
r"""Number of media items in the completion"""
|
||||
|
||||
num_search_results: Nullable[float]
|
||||
r"""Number of search results included"""
|
||||
|
||||
origin: str
|
||||
r"""Origin URL of the request"""
|
||||
|
||||
usage: float
|
||||
r"""Usage amount in USD"""
|
||||
|
||||
is_byok: bool
|
||||
r"""Whether this used bring-your-own-key"""
|
||||
|
||||
native_finish_reason: Nullable[str]
|
||||
r"""Native finish reason as reported by provider"""
|
||||
|
||||
external_user: Nullable[str]
|
||||
r"""External user identifier"""
|
||||
|
||||
api_type: Annotated[Nullable[APIType], PlainValidator(validate_open_enum(False))]
|
||||
r"""Type of API used for the generation"""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = []
|
||||
nullable_fields = [
|
||||
"upstream_id",
|
||||
"cache_discount",
|
||||
"upstream_inference_cost",
|
||||
"app_id",
|
||||
"streamed",
|
||||
"cancelled",
|
||||
"provider_name",
|
||||
"latency",
|
||||
"moderation_latency",
|
||||
"generation_time",
|
||||
"finish_reason",
|
||||
"tokens_prompt",
|
||||
"tokens_completion",
|
||||
"native_tokens_prompt",
|
||||
"native_tokens_completion",
|
||||
"native_tokens_completion_images",
|
||||
"native_tokens_reasoning",
|
||||
"native_tokens_cached",
|
||||
"num_media_prompt",
|
||||
"num_input_audio_prompt",
|
||||
"num_media_completion",
|
||||
"num_search_results",
|
||||
"native_finish_reason",
|
||||
"external_user",
|
||||
"api_type",
|
||||
]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
class GetGenerationResponseTypedDict(TypedDict):
|
||||
r"""Generation response"""
|
||||
|
||||
data: GetGenerationDataTypedDict
|
||||
r"""Generation data"""
|
||||
|
||||
|
||||
class GetGenerationResponse(BaseModel):
|
||||
r"""Generation response"""
|
||||
|
||||
data: GetGenerationData
|
||||
r"""Generation data"""
|
||||
@@ -1,180 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from datetime import datetime
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from openrouter.utils import FieldMetadata, PathParamMetadata
|
||||
from pydantic import model_serializer
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
class GetKeyRequestTypedDict(TypedDict):
|
||||
hash: str
|
||||
r"""The hash identifier of the API key to retrieve"""
|
||||
|
||||
|
||||
class GetKeyRequest(BaseModel):
|
||||
hash: Annotated[
|
||||
str, FieldMetadata(path=PathParamMetadata(style="simple", explode=False))
|
||||
]
|
||||
r"""The hash identifier of the API key to retrieve"""
|
||||
|
||||
|
||||
class GetKeyDataTypedDict(TypedDict):
|
||||
r"""The API key information"""
|
||||
|
||||
hash: str
|
||||
r"""Unique hash identifier for the API key"""
|
||||
name: str
|
||||
r"""Name of the API key"""
|
||||
label: str
|
||||
r"""Human-readable label for the API key"""
|
||||
disabled: bool
|
||||
r"""Whether the API key is disabled"""
|
||||
limit: Nullable[float]
|
||||
r"""Spending limit for the API key in USD"""
|
||||
limit_remaining: Nullable[float]
|
||||
r"""Remaining spending limit in USD"""
|
||||
limit_reset: Nullable[str]
|
||||
r"""Type of limit reset for the API key"""
|
||||
include_byok_in_limit: bool
|
||||
r"""Whether to include external BYOK usage in the credit limit"""
|
||||
usage: float
|
||||
r"""Total OpenRouter credit usage (in USD) for the API key"""
|
||||
usage_daily: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC day"""
|
||||
usage_weekly: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC week (Monday-Sunday)"""
|
||||
usage_monthly: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC month"""
|
||||
byok_usage: float
|
||||
r"""Total external BYOK usage (in USD) for the API key"""
|
||||
byok_usage_daily: float
|
||||
r"""External BYOK usage (in USD) for the current UTC day"""
|
||||
byok_usage_weekly: float
|
||||
r"""External BYOK usage (in USD) for the current UTC week (Monday-Sunday)"""
|
||||
byok_usage_monthly: float
|
||||
r"""External BYOK usage (in USD) for current UTC month"""
|
||||
created_at: str
|
||||
r"""ISO 8601 timestamp of when the API key was created"""
|
||||
updated_at: Nullable[str]
|
||||
r"""ISO 8601 timestamp of when the API key was last updated"""
|
||||
expires_at: NotRequired[Nullable[datetime]]
|
||||
r"""ISO 8601 UTC timestamp when the API key expires, or null if no expiration"""
|
||||
|
||||
|
||||
class GetKeyData(BaseModel):
|
||||
r"""The API key information"""
|
||||
|
||||
hash: str
|
||||
r"""Unique hash identifier for the API key"""
|
||||
|
||||
name: str
|
||||
r"""Name of the API key"""
|
||||
|
||||
label: str
|
||||
r"""Human-readable label for the API key"""
|
||||
|
||||
disabled: bool
|
||||
r"""Whether the API key is disabled"""
|
||||
|
||||
limit: Nullable[float]
|
||||
r"""Spending limit for the API key in USD"""
|
||||
|
||||
limit_remaining: Nullable[float]
|
||||
r"""Remaining spending limit in USD"""
|
||||
|
||||
limit_reset: Nullable[str]
|
||||
r"""Type of limit reset for the API key"""
|
||||
|
||||
include_byok_in_limit: bool
|
||||
r"""Whether to include external BYOK usage in the credit limit"""
|
||||
|
||||
usage: float
|
||||
r"""Total OpenRouter credit usage (in USD) for the API key"""
|
||||
|
||||
usage_daily: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC day"""
|
||||
|
||||
usage_weekly: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC week (Monday-Sunday)"""
|
||||
|
||||
usage_monthly: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC month"""
|
||||
|
||||
byok_usage: float
|
||||
r"""Total external BYOK usage (in USD) for the API key"""
|
||||
|
||||
byok_usage_daily: float
|
||||
r"""External BYOK usage (in USD) for the current UTC day"""
|
||||
|
||||
byok_usage_weekly: float
|
||||
r"""External BYOK usage (in USD) for the current UTC week (Monday-Sunday)"""
|
||||
|
||||
byok_usage_monthly: float
|
||||
r"""External BYOK usage (in USD) for current UTC month"""
|
||||
|
||||
created_at: str
|
||||
r"""ISO 8601 timestamp of when the API key was created"""
|
||||
|
||||
updated_at: Nullable[str]
|
||||
r"""ISO 8601 timestamp of when the API key was last updated"""
|
||||
|
||||
expires_at: OptionalNullable[datetime] = UNSET
|
||||
r"""ISO 8601 UTC timestamp when the API key expires, or null if no expiration"""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["expires_at"]
|
||||
nullable_fields = [
|
||||
"limit",
|
||||
"limit_remaining",
|
||||
"limit_reset",
|
||||
"updated_at",
|
||||
"expires_at",
|
||||
]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
class GetKeyResponseTypedDict(TypedDict):
|
||||
r"""API key details"""
|
||||
|
||||
data: GetKeyDataTypedDict
|
||||
r"""The API key information"""
|
||||
|
||||
|
||||
class GetKeyResponse(BaseModel):
|
||||
r"""API key details"""
|
||||
|
||||
data: GetKeyData
|
||||
r"""The API key information"""
|
||||
@@ -1,24 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from openrouter.utils import FieldMetadata, QueryParamMetadata
|
||||
from typing import Optional
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
class GetModelsRequestTypedDict(TypedDict):
|
||||
category: NotRequired[str]
|
||||
supported_parameters: NotRequired[str]
|
||||
|
||||
|
||||
class GetModelsRequest(BaseModel):
|
||||
category: Annotated[
|
||||
Optional[str],
|
||||
FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
|
||||
] = None
|
||||
|
||||
supported_parameters: Annotated[
|
||||
Optional[str],
|
||||
FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
|
||||
] = None
|
||||
@@ -1,195 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel, UnrecognizedStr
|
||||
from openrouter.utils import (
|
||||
FieldMetadata,
|
||||
PathParamMetadata,
|
||||
QueryParamMetadata,
|
||||
SecurityMetadata,
|
||||
validate_open_enum,
|
||||
)
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing import List, Literal, Optional, Union
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
class GetParametersSecurityTypedDict(TypedDict):
|
||||
bearer: str
|
||||
|
||||
|
||||
class GetParametersSecurity(BaseModel):
|
||||
bearer: Annotated[
|
||||
str,
|
||||
FieldMetadata(
|
||||
security=SecurityMetadata(
|
||||
scheme=True,
|
||||
scheme_type="http",
|
||||
sub_type="bearer",
|
||||
field_name="Authorization",
|
||||
)
|
||||
),
|
||||
]
|
||||
|
||||
|
||||
GetParametersProvider = Union[
|
||||
Literal[
|
||||
"AI21",
|
||||
"AionLabs",
|
||||
"Alibaba",
|
||||
"Amazon Bedrock",
|
||||
"Anthropic",
|
||||
"AtlasCloud",
|
||||
"Atoma",
|
||||
"Avian",
|
||||
"Azure",
|
||||
"BaseTen",
|
||||
"Cerebras",
|
||||
"Chutes",
|
||||
"Cirrascale",
|
||||
"Clarifai",
|
||||
"Cloudflare",
|
||||
"Cohere",
|
||||
"CrofAI",
|
||||
"Crusoe",
|
||||
"DeepInfra",
|
||||
"DeepSeek",
|
||||
"Enfer",
|
||||
"Featherless",
|
||||
"Fireworks",
|
||||
"Friendli",
|
||||
"GMICloud",
|
||||
"Google",
|
||||
"Google AI Studio",
|
||||
"Groq",
|
||||
"Hyperbolic",
|
||||
"Inception",
|
||||
"InferenceNet",
|
||||
"Infermatic",
|
||||
"Inflection",
|
||||
"Kluster",
|
||||
"Lambda",
|
||||
"Liquid",
|
||||
"Mancer 2",
|
||||
"Meta",
|
||||
"Minimax",
|
||||
"ModelRun",
|
||||
"Mistral",
|
||||
"Modular",
|
||||
"Moonshot AI",
|
||||
"Morph",
|
||||
"NCompass",
|
||||
"Nebius",
|
||||
"NextBit",
|
||||
"Nineteen",
|
||||
"Novita",
|
||||
"Nvidia",
|
||||
"OpenAI",
|
||||
"OpenInference",
|
||||
"Parasail",
|
||||
"Perplexity",
|
||||
"Phala",
|
||||
"Relace",
|
||||
"SambaNova",
|
||||
"SiliconFlow",
|
||||
"Stealth",
|
||||
"Switchpoint",
|
||||
"Targon",
|
||||
"Together",
|
||||
"Ubicloud",
|
||||
"Venice",
|
||||
"WandB",
|
||||
"xAI",
|
||||
"Z.AI",
|
||||
"FakeProvider",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
|
||||
|
||||
class GetParametersRequestTypedDict(TypedDict):
|
||||
author: str
|
||||
slug: str
|
||||
provider: NotRequired[GetParametersProvider]
|
||||
|
||||
|
||||
class GetParametersRequest(BaseModel):
|
||||
author: Annotated[
|
||||
str, FieldMetadata(path=PathParamMetadata(style="simple", explode=False))
|
||||
]
|
||||
|
||||
slug: Annotated[
|
||||
str, FieldMetadata(path=PathParamMetadata(style="simple", explode=False))
|
||||
]
|
||||
|
||||
provider: Annotated[
|
||||
Annotated[
|
||||
Optional[GetParametersProvider], PlainValidator(validate_open_enum(False))
|
||||
],
|
||||
FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
|
||||
] = None
|
||||
|
||||
|
||||
SupportedParameter = Union[
|
||||
Literal[
|
||||
"temperature",
|
||||
"top_p",
|
||||
"top_k",
|
||||
"min_p",
|
||||
"top_a",
|
||||
"frequency_penalty",
|
||||
"presence_penalty",
|
||||
"repetition_penalty",
|
||||
"max_tokens",
|
||||
"logit_bias",
|
||||
"logprobs",
|
||||
"top_logprobs",
|
||||
"seed",
|
||||
"response_format",
|
||||
"structured_outputs",
|
||||
"stop",
|
||||
"tools",
|
||||
"tool_choice",
|
||||
"parallel_tool_calls",
|
||||
"include_reasoning",
|
||||
"reasoning",
|
||||
"web_search_options",
|
||||
"verbosity",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
|
||||
|
||||
class GetParametersDataTypedDict(TypedDict):
|
||||
r"""Parameter analytics data"""
|
||||
|
||||
model: str
|
||||
r"""Model identifier"""
|
||||
supported_parameters: List[SupportedParameter]
|
||||
r"""List of parameters supported by this model"""
|
||||
|
||||
|
||||
class GetParametersData(BaseModel):
|
||||
r"""Parameter analytics data"""
|
||||
|
||||
model: str
|
||||
r"""Model identifier"""
|
||||
|
||||
supported_parameters: List[
|
||||
Annotated[SupportedParameter, PlainValidator(validate_open_enum(False))]
|
||||
]
|
||||
r"""List of parameters supported by this model"""
|
||||
|
||||
|
||||
class GetParametersResponseTypedDict(TypedDict):
|
||||
r"""Returns the parameters for the specified model"""
|
||||
|
||||
data: GetParametersDataTypedDict
|
||||
r"""Parameter analytics data"""
|
||||
|
||||
|
||||
class GetParametersResponse(BaseModel):
|
||||
r"""Returns the parameters for the specified model"""
|
||||
|
||||
data: GetParametersData
|
||||
r"""Parameter analytics data"""
|
||||
@@ -1,37 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .activityitem import ActivityItem, ActivityItemTypedDict
|
||||
from openrouter.types import BaseModel
|
||||
from openrouter.utils import FieldMetadata, QueryParamMetadata
|
||||
import pydantic
|
||||
from typing import List, Optional
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
class GetUserActivityRequestTypedDict(TypedDict):
|
||||
date_: NotRequired[str]
|
||||
r"""Filter by a single UTC date in the last 30 days (YYYY-MM-DD format)."""
|
||||
|
||||
|
||||
class GetUserActivityRequest(BaseModel):
|
||||
date_: Annotated[
|
||||
Optional[str],
|
||||
pydantic.Field(alias="date"),
|
||||
FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
|
||||
] = None
|
||||
r"""Filter by a single UTC date in the last 30 days (YYYY-MM-DD format)."""
|
||||
|
||||
|
||||
class GetUserActivityResponseTypedDict(TypedDict):
|
||||
r"""Returns user activity data grouped by endpoint"""
|
||||
|
||||
data: List[ActivityItemTypedDict]
|
||||
r"""List of activity items"""
|
||||
|
||||
|
||||
class GetUserActivityResponse(BaseModel):
|
||||
r"""Returns user activity data grouped by endpoint"""
|
||||
|
||||
data: List[ActivityItem]
|
||||
r"""List of activity items"""
|
||||
@@ -1,16 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import UnrecognizedStr
|
||||
from typing import Literal, Union
|
||||
|
||||
|
||||
ImageGenerationStatus = Union[
|
||||
Literal[
|
||||
"in_progress",
|
||||
"completed",
|
||||
"generating",
|
||||
"failed",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
@@ -1,17 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import UnrecognizedStr
|
||||
from typing import Literal, Union
|
||||
|
||||
|
||||
InputModality = Union[
|
||||
Literal[
|
||||
"text",
|
||||
"image",
|
||||
"file",
|
||||
"audio",
|
||||
"video",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
@@ -1,35 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import UnrecognizedStr
|
||||
from typing import Literal, Union
|
||||
|
||||
|
||||
InstructType = Union[
|
||||
Literal[
|
||||
"none",
|
||||
"airoboros",
|
||||
"alpaca",
|
||||
"alpaca-modif",
|
||||
"chatml",
|
||||
"claude",
|
||||
"code-llama",
|
||||
"gemma",
|
||||
"llama2",
|
||||
"llama3",
|
||||
"mistral",
|
||||
"nemotron",
|
||||
"neural",
|
||||
"openchat",
|
||||
"phi3",
|
||||
"rwkv",
|
||||
"vicuna",
|
||||
"zephyr",
|
||||
"deepseek-r1",
|
||||
"deepseek-v3.1",
|
||||
"qwq",
|
||||
"qwen3",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
r"""Instruction format type"""
|
||||
@@ -1,61 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from pydantic import model_serializer
|
||||
from typing import Any, Dict
|
||||
from typing_extensions import NotRequired, TypedDict
|
||||
|
||||
|
||||
class InternalServerResponseErrorDataTypedDict(TypedDict):
|
||||
r"""Error data for InternalServerResponse"""
|
||||
|
||||
code: int
|
||||
message: str
|
||||
metadata: NotRequired[Nullable[Dict[str, Nullable[Any]]]]
|
||||
|
||||
|
||||
class InternalServerResponseErrorData(BaseModel):
|
||||
r"""Error data for InternalServerResponse"""
|
||||
|
||||
code: int
|
||||
|
||||
message: str
|
||||
|
||||
metadata: OptionalNullable[Dict[str, Nullable[Any]]] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["metadata"]
|
||||
nullable_fields = ["metadata"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,61 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
import pydantic
|
||||
from pydantic import model_serializer
|
||||
from typing import Any, Dict, Optional
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
class JSONSchemaConfigTypedDict(TypedDict):
|
||||
name: str
|
||||
description: NotRequired[str]
|
||||
schema_: NotRequired[Dict[str, Any]]
|
||||
strict: NotRequired[Nullable[bool]]
|
||||
|
||||
|
||||
class JSONSchemaConfig(BaseModel):
|
||||
name: str
|
||||
|
||||
description: Optional[str] = None
|
||||
|
||||
schema_: Annotated[Optional[Dict[str, Any]], pydantic.Field(alias="schema")] = None
|
||||
|
||||
strict: OptionalNullable[bool] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["description", "schema", "strict"]
|
||||
nullable_fields = ["strict"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,36 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .listendpointsresponse import ListEndpointsResponse, ListEndpointsResponseTypedDict
|
||||
from openrouter.types import BaseModel
|
||||
from openrouter.utils import FieldMetadata, PathParamMetadata
|
||||
from typing_extensions import Annotated, TypedDict
|
||||
|
||||
|
||||
class ListEndpointsRequestTypedDict(TypedDict):
|
||||
author: str
|
||||
slug: str
|
||||
|
||||
|
||||
class ListEndpointsRequest(BaseModel):
|
||||
author: Annotated[
|
||||
str, FieldMetadata(path=PathParamMetadata(style="simple", explode=False))
|
||||
]
|
||||
|
||||
slug: Annotated[
|
||||
str, FieldMetadata(path=PathParamMetadata(style="simple", explode=False))
|
||||
]
|
||||
|
||||
|
||||
class EndpointsListEndpointsResponseTypedDict(TypedDict):
|
||||
r"""Returns a list of endpoints"""
|
||||
|
||||
data: ListEndpointsResponseTypedDict
|
||||
r"""List of available endpoints for a model"""
|
||||
|
||||
|
||||
class EndpointsListEndpointsResponse(BaseModel):
|
||||
r"""Returns a list of endpoints"""
|
||||
|
||||
data: ListEndpointsResponse
|
||||
r"""List of available endpoints for a model"""
|
||||
@@ -1,145 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .inputmodality import InputModality
|
||||
from .instructtype import InstructType
|
||||
from .outputmodality import OutputModality
|
||||
from .publicendpoint import PublicEndpoint, PublicEndpointTypedDict
|
||||
from openrouter.types import BaseModel, Nullable, UNSET_SENTINEL, UnrecognizedStr
|
||||
from openrouter.utils import validate_open_enum
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing import List, Literal, Union
|
||||
from typing_extensions import Annotated, TypedDict
|
||||
|
||||
|
||||
Tokenizer = Union[
|
||||
Literal[
|
||||
"Router",
|
||||
"Media",
|
||||
"Other",
|
||||
"GPT",
|
||||
"Claude",
|
||||
"Gemini",
|
||||
"Grok",
|
||||
"Cohere",
|
||||
"Nova",
|
||||
"Qwen",
|
||||
"Yi",
|
||||
"DeepSeek",
|
||||
"Mistral",
|
||||
"Llama2",
|
||||
"Llama3",
|
||||
"Llama4",
|
||||
"PaLM",
|
||||
"RWKV",
|
||||
"Qwen3",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
r"""Tokenizer type used by the model"""
|
||||
|
||||
|
||||
class ArchitectureTypedDict(TypedDict):
|
||||
r"""Model architecture information"""
|
||||
|
||||
tokenizer: Nullable[Tokenizer]
|
||||
instruct_type: Nullable[InstructType]
|
||||
r"""Instruction format type"""
|
||||
modality: Nullable[str]
|
||||
r"""Primary modality of the model"""
|
||||
input_modalities: List[InputModality]
|
||||
r"""Supported input modalities"""
|
||||
output_modalities: List[OutputModality]
|
||||
r"""Supported output modalities"""
|
||||
|
||||
|
||||
class Architecture(BaseModel):
|
||||
r"""Model architecture information"""
|
||||
|
||||
tokenizer: Annotated[Nullable[Tokenizer], PlainValidator(validate_open_enum(False))]
|
||||
|
||||
instruct_type: Annotated[
|
||||
Nullable[InstructType], PlainValidator(validate_open_enum(False))
|
||||
]
|
||||
r"""Instruction format type"""
|
||||
|
||||
modality: Nullable[str]
|
||||
r"""Primary modality of the model"""
|
||||
|
||||
input_modalities: List[
|
||||
Annotated[InputModality, PlainValidator(validate_open_enum(False))]
|
||||
]
|
||||
r"""Supported input modalities"""
|
||||
|
||||
output_modalities: List[
|
||||
Annotated[OutputModality, PlainValidator(validate_open_enum(False))]
|
||||
]
|
||||
r"""Supported output modalities"""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = []
|
||||
nullable_fields = ["tokenizer", "instruct_type", "modality"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
class ListEndpointsResponseTypedDict(TypedDict):
|
||||
r"""List of available endpoints for a model"""
|
||||
|
||||
id: str
|
||||
r"""Unique identifier for the model"""
|
||||
name: str
|
||||
r"""Display name of the model"""
|
||||
created: float
|
||||
r"""Unix timestamp of when the model was created"""
|
||||
description: str
|
||||
r"""Description of the model"""
|
||||
architecture: ArchitectureTypedDict
|
||||
endpoints: List[PublicEndpointTypedDict]
|
||||
r"""List of available endpoints for this model"""
|
||||
|
||||
|
||||
class ListEndpointsResponse(BaseModel):
|
||||
r"""List of available endpoints for a model"""
|
||||
|
||||
id: str
|
||||
r"""Unique identifier for the model"""
|
||||
|
||||
name: str
|
||||
r"""Display name of the model"""
|
||||
|
||||
created: float
|
||||
r"""Unix timestamp of when the model was created"""
|
||||
|
||||
description: str
|
||||
r"""Description of the model"""
|
||||
|
||||
architecture: Architecture
|
||||
|
||||
endpoints: List[PublicEndpoint]
|
||||
r"""List of available endpoints for this model"""
|
||||
@@ -1,19 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .publicendpoint import PublicEndpoint, PublicEndpointTypedDict
|
||||
from openrouter.types import BaseModel
|
||||
from typing import List
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
class ListEndpointsZdrResponseTypedDict(TypedDict):
|
||||
r"""Returns a list of endpoints"""
|
||||
|
||||
data: List[PublicEndpointTypedDict]
|
||||
|
||||
|
||||
class ListEndpointsZdrResponse(BaseModel):
|
||||
r"""Returns a list of endpoints"""
|
||||
|
||||
data: List[PublicEndpoint]
|
||||
@@ -1,24 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from openrouter.utils import FieldMetadata, SecurityMetadata
|
||||
from typing_extensions import Annotated, TypedDict
|
||||
|
||||
|
||||
class ListModelsUserSecurityTypedDict(TypedDict):
|
||||
bearer: str
|
||||
|
||||
|
||||
class ListModelsUserSecurity(BaseModel):
|
||||
bearer: Annotated[
|
||||
str,
|
||||
FieldMetadata(
|
||||
security=SecurityMetadata(
|
||||
scheme=True,
|
||||
scheme_type="http",
|
||||
sub_type="bearer",
|
||||
field_name="Authorization",
|
||||
)
|
||||
),
|
||||
]
|
||||
@@ -1,186 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from datetime import datetime
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from openrouter.utils import FieldMetadata, QueryParamMetadata
|
||||
from pydantic import model_serializer
|
||||
from typing import List, Optional
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
class ListRequestTypedDict(TypedDict):
|
||||
include_disabled: NotRequired[str]
|
||||
r"""Whether to include disabled API keys in the response"""
|
||||
offset: NotRequired[str]
|
||||
r"""Number of API keys to skip for pagination"""
|
||||
|
||||
|
||||
class ListRequest(BaseModel):
|
||||
include_disabled: Annotated[
|
||||
Optional[str],
|
||||
FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
|
||||
] = None
|
||||
r"""Whether to include disabled API keys in the response"""
|
||||
|
||||
offset: Annotated[
|
||||
Optional[str],
|
||||
FieldMetadata(query=QueryParamMetadata(style="form", explode=True)),
|
||||
] = None
|
||||
r"""Number of API keys to skip for pagination"""
|
||||
|
||||
|
||||
class ListDataTypedDict(TypedDict):
|
||||
hash: str
|
||||
r"""Unique hash identifier for the API key"""
|
||||
name: str
|
||||
r"""Name of the API key"""
|
||||
label: str
|
||||
r"""Human-readable label for the API key"""
|
||||
disabled: bool
|
||||
r"""Whether the API key is disabled"""
|
||||
limit: Nullable[float]
|
||||
r"""Spending limit for the API key in USD"""
|
||||
limit_remaining: Nullable[float]
|
||||
r"""Remaining spending limit in USD"""
|
||||
limit_reset: Nullable[str]
|
||||
r"""Type of limit reset for the API key"""
|
||||
include_byok_in_limit: bool
|
||||
r"""Whether to include external BYOK usage in the credit limit"""
|
||||
usage: float
|
||||
r"""Total OpenRouter credit usage (in USD) for the API key"""
|
||||
usage_daily: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC day"""
|
||||
usage_weekly: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC week (Monday-Sunday)"""
|
||||
usage_monthly: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC month"""
|
||||
byok_usage: float
|
||||
r"""Total external BYOK usage (in USD) for the API key"""
|
||||
byok_usage_daily: float
|
||||
r"""External BYOK usage (in USD) for the current UTC day"""
|
||||
byok_usage_weekly: float
|
||||
r"""External BYOK usage (in USD) for the current UTC week (Monday-Sunday)"""
|
||||
byok_usage_monthly: float
|
||||
r"""External BYOK usage (in USD) for current UTC month"""
|
||||
created_at: str
|
||||
r"""ISO 8601 timestamp of when the API key was created"""
|
||||
updated_at: Nullable[str]
|
||||
r"""ISO 8601 timestamp of when the API key was last updated"""
|
||||
expires_at: NotRequired[Nullable[datetime]]
|
||||
r"""ISO 8601 UTC timestamp when the API key expires, or null if no expiration"""
|
||||
|
||||
|
||||
class ListData(BaseModel):
|
||||
hash: str
|
||||
r"""Unique hash identifier for the API key"""
|
||||
|
||||
name: str
|
||||
r"""Name of the API key"""
|
||||
|
||||
label: str
|
||||
r"""Human-readable label for the API key"""
|
||||
|
||||
disabled: bool
|
||||
r"""Whether the API key is disabled"""
|
||||
|
||||
limit: Nullable[float]
|
||||
r"""Spending limit for the API key in USD"""
|
||||
|
||||
limit_remaining: Nullable[float]
|
||||
r"""Remaining spending limit in USD"""
|
||||
|
||||
limit_reset: Nullable[str]
|
||||
r"""Type of limit reset for the API key"""
|
||||
|
||||
include_byok_in_limit: bool
|
||||
r"""Whether to include external BYOK usage in the credit limit"""
|
||||
|
||||
usage: float
|
||||
r"""Total OpenRouter credit usage (in USD) for the API key"""
|
||||
|
||||
usage_daily: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC day"""
|
||||
|
||||
usage_weekly: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC week (Monday-Sunday)"""
|
||||
|
||||
usage_monthly: float
|
||||
r"""OpenRouter credit usage (in USD) for the current UTC month"""
|
||||
|
||||
byok_usage: float
|
||||
r"""Total external BYOK usage (in USD) for the API key"""
|
||||
|
||||
byok_usage_daily: float
|
||||
r"""External BYOK usage (in USD) for the current UTC day"""
|
||||
|
||||
byok_usage_weekly: float
|
||||
r"""External BYOK usage (in USD) for the current UTC week (Monday-Sunday)"""
|
||||
|
||||
byok_usage_monthly: float
|
||||
r"""External BYOK usage (in USD) for current UTC month"""
|
||||
|
||||
created_at: str
|
||||
r"""ISO 8601 timestamp of when the API key was created"""
|
||||
|
||||
updated_at: Nullable[str]
|
||||
r"""ISO 8601 timestamp of when the API key was last updated"""
|
||||
|
||||
expires_at: OptionalNullable[datetime] = UNSET
|
||||
r"""ISO 8601 UTC timestamp when the API key expires, or null if no expiration"""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["expires_at"]
|
||||
nullable_fields = [
|
||||
"limit",
|
||||
"limit_remaining",
|
||||
"limit_reset",
|
||||
"updated_at",
|
||||
"expires_at",
|
||||
]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
class ListResponseTypedDict(TypedDict):
|
||||
r"""List of API keys"""
|
||||
|
||||
data: List[ListDataTypedDict]
|
||||
r"""List of API keys"""
|
||||
|
||||
|
||||
class ListResponse(BaseModel):
|
||||
r"""List of API keys"""
|
||||
|
||||
data: List[ListData]
|
||||
r"""List of API keys"""
|
||||
@@ -1,89 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from pydantic import model_serializer
|
||||
from typing import List
|
||||
from typing_extensions import NotRequired, TypedDict
|
||||
|
||||
|
||||
class ListProvidersDataTypedDict(TypedDict):
|
||||
name: str
|
||||
r"""Display name of the provider"""
|
||||
slug: str
|
||||
r"""URL-friendly identifier for the provider"""
|
||||
privacy_policy_url: Nullable[str]
|
||||
r"""URL to the provider's privacy policy"""
|
||||
terms_of_service_url: NotRequired[Nullable[str]]
|
||||
r"""URL to the provider's terms of service"""
|
||||
status_page_url: NotRequired[Nullable[str]]
|
||||
r"""URL to the provider's status page"""
|
||||
|
||||
|
||||
class ListProvidersData(BaseModel):
|
||||
name: str
|
||||
r"""Display name of the provider"""
|
||||
|
||||
slug: str
|
||||
r"""URL-friendly identifier for the provider"""
|
||||
|
||||
privacy_policy_url: Nullable[str]
|
||||
r"""URL to the provider's privacy policy"""
|
||||
|
||||
terms_of_service_url: OptionalNullable[str] = UNSET
|
||||
r"""URL to the provider's terms of service"""
|
||||
|
||||
status_page_url: OptionalNullable[str] = UNSET
|
||||
r"""URL to the provider's status page"""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["terms_of_service_url", "status_page_url"]
|
||||
nullable_fields = [
|
||||
"privacy_policy_url",
|
||||
"terms_of_service_url",
|
||||
"status_page_url",
|
||||
]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
class ListProvidersResponseTypedDict(TypedDict):
|
||||
r"""Returns a list of providers"""
|
||||
|
||||
data: List[ListProvidersDataTypedDict]
|
||||
|
||||
|
||||
class ListProvidersResponse(BaseModel):
|
||||
r"""Returns a list of providers"""
|
||||
|
||||
data: List[ListProvidersData]
|
||||
@@ -1,68 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .assistantmessage import AssistantMessage, AssistantMessageTypedDict
|
||||
from .chatmessagecontentitemtext import (
|
||||
ChatMessageContentItemText,
|
||||
ChatMessageContentItemTextTypedDict,
|
||||
)
|
||||
from .systemmessage import SystemMessage, SystemMessageTypedDict
|
||||
from .toolresponsemessage import ToolResponseMessage, ToolResponseMessageTypedDict
|
||||
from .usermessage import UserMessage, UserMessageTypedDict
|
||||
from openrouter.types import BaseModel
|
||||
from openrouter.utils import validate_const
|
||||
import pydantic
|
||||
from pydantic.functional_validators import AfterValidator
|
||||
from typing import List, Literal, Optional, Union
|
||||
from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
|
||||
|
||||
|
||||
MessageContentTypedDict = TypeAliasType(
|
||||
"MessageContentTypedDict", Union[str, List[ChatMessageContentItemTextTypedDict]]
|
||||
)
|
||||
|
||||
|
||||
MessageContent = TypeAliasType(
|
||||
"MessageContent", Union[str, List[ChatMessageContentItemText]]
|
||||
)
|
||||
|
||||
|
||||
class MessageDeveloperTypedDict(TypedDict):
|
||||
content: MessageContentTypedDict
|
||||
role: Literal["developer"]
|
||||
name: NotRequired[str]
|
||||
|
||||
|
||||
class MessageDeveloper(BaseModel):
|
||||
content: MessageContent
|
||||
|
||||
ROLE: Annotated[
|
||||
Annotated[Literal["developer"], AfterValidator(validate_const("developer"))],
|
||||
pydantic.Field(alias="role"),
|
||||
] = "developer"
|
||||
|
||||
name: Optional[str] = None
|
||||
|
||||
|
||||
MessageTypedDict = TypeAliasType(
|
||||
"MessageTypedDict",
|
||||
Union[
|
||||
SystemMessageTypedDict,
|
||||
UserMessageTypedDict,
|
||||
MessageDeveloperTypedDict,
|
||||
ToolResponseMessageTypedDict,
|
||||
AssistantMessageTypedDict,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
Message = TypeAliasType(
|
||||
"Message",
|
||||
Union[
|
||||
SystemMessage,
|
||||
UserMessage,
|
||||
MessageDeveloper,
|
||||
ToolResponseMessage,
|
||||
AssistantMessage,
|
||||
],
|
||||
)
|
||||
@@ -1,132 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .defaultparameters import DefaultParameters, DefaultParametersTypedDict
|
||||
from .modelarchitecture import ModelArchitecture, ModelArchitectureTypedDict
|
||||
from .parameter import Parameter
|
||||
from .perrequestlimits import PerRequestLimits, PerRequestLimitsTypedDict
|
||||
from .publicpricing import PublicPricing, PublicPricingTypedDict
|
||||
from .topproviderinfo import TopProviderInfo, TopProviderInfoTypedDict
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from openrouter.utils import validate_open_enum
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing import List, Optional
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
class ModelTypedDict(TypedDict):
|
||||
r"""Information about an AI model available on OpenRouter"""
|
||||
|
||||
id: str
|
||||
r"""Unique identifier for the model"""
|
||||
canonical_slug: str
|
||||
r"""Canonical slug for the model"""
|
||||
name: str
|
||||
r"""Display name of the model"""
|
||||
created: float
|
||||
r"""Unix timestamp of when the model was created"""
|
||||
pricing: PublicPricingTypedDict
|
||||
r"""Pricing information for the model"""
|
||||
context_length: Nullable[float]
|
||||
r"""Maximum context length in tokens"""
|
||||
architecture: ModelArchitectureTypedDict
|
||||
r"""Model architecture information"""
|
||||
top_provider: TopProviderInfoTypedDict
|
||||
r"""Information about the top provider for this model"""
|
||||
per_request_limits: Nullable[PerRequestLimitsTypedDict]
|
||||
r"""Per-request token limits"""
|
||||
supported_parameters: List[Parameter]
|
||||
r"""List of supported parameters for this model"""
|
||||
default_parameters: Nullable[DefaultParametersTypedDict]
|
||||
r"""Default parameters for this model"""
|
||||
hugging_face_id: NotRequired[Nullable[str]]
|
||||
r"""Hugging Face model identifier, if applicable"""
|
||||
description: NotRequired[str]
|
||||
r"""Description of the model"""
|
||||
|
||||
|
||||
class Model(BaseModel):
|
||||
r"""Information about an AI model available on OpenRouter"""
|
||||
|
||||
id: str
|
||||
r"""Unique identifier for the model"""
|
||||
|
||||
canonical_slug: str
|
||||
r"""Canonical slug for the model"""
|
||||
|
||||
name: str
|
||||
r"""Display name of the model"""
|
||||
|
||||
created: float
|
||||
r"""Unix timestamp of when the model was created"""
|
||||
|
||||
pricing: PublicPricing
|
||||
r"""Pricing information for the model"""
|
||||
|
||||
context_length: Nullable[float]
|
||||
r"""Maximum context length in tokens"""
|
||||
|
||||
architecture: ModelArchitecture
|
||||
r"""Model architecture information"""
|
||||
|
||||
top_provider: TopProviderInfo
|
||||
r"""Information about the top provider for this model"""
|
||||
|
||||
per_request_limits: Nullable[PerRequestLimits]
|
||||
r"""Per-request token limits"""
|
||||
|
||||
supported_parameters: List[
|
||||
Annotated[Parameter, PlainValidator(validate_open_enum(False))]
|
||||
]
|
||||
r"""List of supported parameters for this model"""
|
||||
|
||||
default_parameters: Nullable[DefaultParameters]
|
||||
r"""Default parameters for this model"""
|
||||
|
||||
hugging_face_id: OptionalNullable[str] = UNSET
|
||||
r"""Hugging Face model identifier, if applicable"""
|
||||
|
||||
description: Optional[str] = None
|
||||
r"""Description of the model"""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["hugging_face_id", "description"]
|
||||
nullable_fields = [
|
||||
"hugging_face_id",
|
||||
"context_length",
|
||||
"per_request_limits",
|
||||
"default_parameters",
|
||||
]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,122 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .inputmodality import InputModality
|
||||
from .modelgroup import ModelGroup
|
||||
from .outputmodality import OutputModality
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
UnrecognizedStr,
|
||||
)
|
||||
from openrouter.utils import validate_open_enum
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing import List, Literal, Optional, Union
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
ModelArchitectureInstructType = Union[
|
||||
Literal[
|
||||
"none",
|
||||
"airoboros",
|
||||
"alpaca",
|
||||
"alpaca-modif",
|
||||
"chatml",
|
||||
"claude",
|
||||
"code-llama",
|
||||
"gemma",
|
||||
"llama2",
|
||||
"llama3",
|
||||
"mistral",
|
||||
"nemotron",
|
||||
"neural",
|
||||
"openchat",
|
||||
"phi3",
|
||||
"rwkv",
|
||||
"vicuna",
|
||||
"zephyr",
|
||||
"deepseek-r1",
|
||||
"deepseek-v3.1",
|
||||
"qwq",
|
||||
"qwen3",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
r"""Instruction format type"""
|
||||
|
||||
|
||||
class ModelArchitectureTypedDict(TypedDict):
|
||||
r"""Model architecture information"""
|
||||
|
||||
modality: Nullable[str]
|
||||
r"""Primary modality of the model"""
|
||||
input_modalities: List[InputModality]
|
||||
r"""Supported input modalities"""
|
||||
output_modalities: List[OutputModality]
|
||||
r"""Supported output modalities"""
|
||||
tokenizer: NotRequired[ModelGroup]
|
||||
r"""Tokenizer type used by the model"""
|
||||
instruct_type: NotRequired[Nullable[ModelArchitectureInstructType]]
|
||||
r"""Instruction format type"""
|
||||
|
||||
|
||||
class ModelArchitecture(BaseModel):
|
||||
r"""Model architecture information"""
|
||||
|
||||
modality: Nullable[str]
|
||||
r"""Primary modality of the model"""
|
||||
|
||||
input_modalities: List[
|
||||
Annotated[InputModality, PlainValidator(validate_open_enum(False))]
|
||||
]
|
||||
r"""Supported input modalities"""
|
||||
|
||||
output_modalities: List[
|
||||
Annotated[OutputModality, PlainValidator(validate_open_enum(False))]
|
||||
]
|
||||
r"""Supported output modalities"""
|
||||
|
||||
tokenizer: Annotated[
|
||||
Optional[ModelGroup], PlainValidator(validate_open_enum(False))
|
||||
] = None
|
||||
r"""Tokenizer type used by the model"""
|
||||
|
||||
instruct_type: Annotated[
|
||||
OptionalNullable[ModelArchitectureInstructType],
|
||||
PlainValidator(validate_open_enum(False)),
|
||||
] = UNSET
|
||||
r"""Instruction format type"""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["tokenizer", "instruct_type"]
|
||||
nullable_fields = ["instruct_type", "modality"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,32 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import UnrecognizedStr
|
||||
from typing import Literal, Union
|
||||
|
||||
|
||||
ModelGroup = Union[
|
||||
Literal[
|
||||
"Router",
|
||||
"Media",
|
||||
"Other",
|
||||
"GPT",
|
||||
"Claude",
|
||||
"Gemini",
|
||||
"Grok",
|
||||
"Cohere",
|
||||
"Nova",
|
||||
"Qwen",
|
||||
"Yi",
|
||||
"DeepSeek",
|
||||
"Mistral",
|
||||
"Llama2",
|
||||
"Llama3",
|
||||
"Llama4",
|
||||
"PaLM",
|
||||
"RWKV",
|
||||
"Qwen3",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
r"""Tokenizer type used by the model"""
|
||||
@@ -1,33 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
class ModelsCountResponseDataTypedDict(TypedDict):
|
||||
r"""Model count data"""
|
||||
|
||||
count: float
|
||||
r"""Total number of available models"""
|
||||
|
||||
|
||||
class ModelsCountResponseData(BaseModel):
|
||||
r"""Model count data"""
|
||||
|
||||
count: float
|
||||
r"""Total number of available models"""
|
||||
|
||||
|
||||
class ModelsCountResponseTypedDict(TypedDict):
|
||||
r"""Model count data"""
|
||||
|
||||
data: ModelsCountResponseDataTypedDict
|
||||
r"""Model count data"""
|
||||
|
||||
|
||||
class ModelsCountResponse(BaseModel):
|
||||
r"""Model count data"""
|
||||
|
||||
data: ModelsCountResponseData
|
||||
r"""Model count data"""
|
||||
@@ -1,21 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .model import Model, ModelTypedDict
|
||||
from openrouter.types import BaseModel
|
||||
from typing import List
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
class ModelsListResponseTypedDict(TypedDict):
|
||||
r"""List of available models"""
|
||||
|
||||
data: List[ModelTypedDict]
|
||||
r"""List of available models"""
|
||||
|
||||
|
||||
class ModelsListResponse(BaseModel):
|
||||
r"""List of available models"""
|
||||
|
||||
data: List[Model]
|
||||
r"""List of available models"""
|
||||
@@ -1,31 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from openrouter.utils import validate_const
|
||||
import pydantic
|
||||
from pydantic.functional_validators import AfterValidator
|
||||
from typing import Literal
|
||||
from typing_extensions import Annotated, TypedDict
|
||||
|
||||
|
||||
class NamedToolChoiceFunctionTypedDict(TypedDict):
|
||||
name: str
|
||||
|
||||
|
||||
class NamedToolChoiceFunction(BaseModel):
|
||||
name: str
|
||||
|
||||
|
||||
class NamedToolChoiceTypedDict(TypedDict):
|
||||
function: NamedToolChoiceFunctionTypedDict
|
||||
type: Literal["function"]
|
||||
|
||||
|
||||
class NamedToolChoice(BaseModel):
|
||||
function: NamedToolChoiceFunction
|
||||
|
||||
TYPE: Annotated[
|
||||
Annotated[Literal["function"], AfterValidator(validate_const("function"))],
|
||||
pydantic.Field(alias="type"),
|
||||
] = "function"
|
||||
@@ -1,61 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from pydantic import model_serializer
|
||||
from typing import Any, Dict
|
||||
from typing_extensions import NotRequired, TypedDict
|
||||
|
||||
|
||||
class NotFoundResponseErrorDataTypedDict(TypedDict):
|
||||
r"""Error data for NotFoundResponse"""
|
||||
|
||||
code: int
|
||||
message: str
|
||||
metadata: NotRequired[Nullable[Dict[str, Nullable[Any]]]]
|
||||
|
||||
|
||||
class NotFoundResponseErrorData(BaseModel):
|
||||
r"""Error data for NotFoundResponse"""
|
||||
|
||||
code: int
|
||||
|
||||
message: str
|
||||
|
||||
metadata: OptionalNullable[Dict[str, Nullable[Any]]] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["metadata"]
|
||||
nullable_fields = ["metadata"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,19 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .filecitation import FileCitation, FileCitationTypedDict
|
||||
from .filepath import FilePath, FilePathTypedDict
|
||||
from .urlcitation import URLCitation, URLCitationTypedDict
|
||||
from typing import Union
|
||||
from typing_extensions import TypeAliasType
|
||||
|
||||
|
||||
OpenAIResponsesAnnotationTypedDict = TypeAliasType(
|
||||
"OpenAIResponsesAnnotationTypedDict",
|
||||
Union[FilePathTypedDict, FileCitationTypedDict, URLCitationTypedDict],
|
||||
)
|
||||
|
||||
|
||||
OpenAIResponsesAnnotation = TypeAliasType(
|
||||
"OpenAIResponsesAnnotation", Union[FilePath, FileCitation, URLCitation]
|
||||
)
|
||||
@@ -1,17 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import UnrecognizedStr
|
||||
from typing import Literal, Union
|
||||
|
||||
|
||||
OpenAIResponsesIncludable = Union[
|
||||
Literal[
|
||||
"file_search_call.results",
|
||||
"message.input_image.image_url",
|
||||
"computer_call_output.output.image_url",
|
||||
"reasoning.encrypted_content",
|
||||
"code_interpreter_call.outputs",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
@@ -1,27 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel, UnrecognizedStr
|
||||
from openrouter.utils import validate_open_enum
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing import Literal, Optional, Union
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
Reason = Union[
|
||||
Literal[
|
||||
"max_output_tokens",
|
||||
"content_filter",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
|
||||
|
||||
class OpenAIResponsesIncompleteDetailsTypedDict(TypedDict):
|
||||
reason: NotRequired[Reason]
|
||||
|
||||
|
||||
class OpenAIResponsesIncompleteDetails(BaseModel):
|
||||
reason: Annotated[Optional[Reason], PlainValidator(validate_open_enum(False))] = (
|
||||
None
|
||||
)
|
||||
@@ -1,330 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .outputitemimagegenerationcall import (
|
||||
OutputItemImageGenerationCall,
|
||||
OutputItemImageGenerationCallTypedDict,
|
||||
)
|
||||
from .outputmessage import OutputMessage, OutputMessageTypedDict
|
||||
from .responseinputaudio import ResponseInputAudio, ResponseInputAudioTypedDict
|
||||
from .responseinputfile import ResponseInputFile, ResponseInputFileTypedDict
|
||||
from .responseinputimage import ResponseInputImage, ResponseInputImageTypedDict
|
||||
from .responseinputtext import ResponseInputText, ResponseInputTextTypedDict
|
||||
from .toolcallstatus import ToolCallStatus
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from openrouter.utils import get_discriminator, validate_open_enum
|
||||
from pydantic import Discriminator, Tag, model_serializer
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing import Any, List, Literal, Optional, Union
|
||||
from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
|
||||
|
||||
|
||||
OpenAIResponsesInputTypeFunctionCall = Literal["function_call",]
|
||||
|
||||
|
||||
class OpenAIResponsesInputFunctionCallTypedDict(TypedDict):
|
||||
type: OpenAIResponsesInputTypeFunctionCall
|
||||
call_id: str
|
||||
name: str
|
||||
arguments: str
|
||||
id: NotRequired[str]
|
||||
status: NotRequired[Nullable[ToolCallStatus]]
|
||||
|
||||
|
||||
class OpenAIResponsesInputFunctionCall(BaseModel):
|
||||
type: OpenAIResponsesInputTypeFunctionCall
|
||||
|
||||
call_id: str
|
||||
|
||||
name: str
|
||||
|
||||
arguments: str
|
||||
|
||||
id: Optional[str] = None
|
||||
|
||||
status: Annotated[
|
||||
OptionalNullable[ToolCallStatus], PlainValidator(validate_open_enum(False))
|
||||
] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["id", "status"]
|
||||
nullable_fields = ["status"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
OpenAIResponsesInputTypeFunctionCallOutput = Literal["function_call_output",]
|
||||
|
||||
|
||||
class OpenAIResponsesInputFunctionCallOutputTypedDict(TypedDict):
|
||||
type: OpenAIResponsesInputTypeFunctionCallOutput
|
||||
call_id: str
|
||||
output: str
|
||||
id: NotRequired[Nullable[str]]
|
||||
status: NotRequired[Nullable[ToolCallStatus]]
|
||||
|
||||
|
||||
class OpenAIResponsesInputFunctionCallOutput(BaseModel):
|
||||
type: OpenAIResponsesInputTypeFunctionCallOutput
|
||||
|
||||
call_id: str
|
||||
|
||||
output: str
|
||||
|
||||
id: OptionalNullable[str] = UNSET
|
||||
|
||||
status: Annotated[
|
||||
OptionalNullable[ToolCallStatus], PlainValidator(validate_open_enum(False))
|
||||
] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["id", "status"]
|
||||
nullable_fields = ["id", "status"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
OpenAIResponsesInputTypeMessage2 = Literal["message",]
|
||||
|
||||
|
||||
OpenAIResponsesInputRoleDeveloper2 = Literal["developer",]
|
||||
|
||||
|
||||
OpenAIResponsesInputRoleSystem2 = Literal["system",]
|
||||
|
||||
|
||||
OpenAIResponsesInputRoleUser2 = Literal["user",]
|
||||
|
||||
|
||||
OpenAIResponsesInputRoleUnion2TypedDict = TypeAliasType(
|
||||
"OpenAIResponsesInputRoleUnion2TypedDict",
|
||||
Union[
|
||||
OpenAIResponsesInputRoleUser2,
|
||||
OpenAIResponsesInputRoleSystem2,
|
||||
OpenAIResponsesInputRoleDeveloper2,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
OpenAIResponsesInputRoleUnion2 = TypeAliasType(
|
||||
"OpenAIResponsesInputRoleUnion2",
|
||||
Union[
|
||||
OpenAIResponsesInputRoleUser2,
|
||||
OpenAIResponsesInputRoleSystem2,
|
||||
OpenAIResponsesInputRoleDeveloper2,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
OpenAIResponsesInputContent3TypedDict = TypeAliasType(
|
||||
"OpenAIResponsesInputContent3TypedDict",
|
||||
Union[
|
||||
ResponseInputTextTypedDict,
|
||||
ResponseInputAudioTypedDict,
|
||||
ResponseInputImageTypedDict,
|
||||
ResponseInputFileTypedDict,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
OpenAIResponsesInputContent3 = Annotated[
|
||||
Union[
|
||||
Annotated[ResponseInputText, Tag("input_text")],
|
||||
Annotated[ResponseInputImage, Tag("input_image")],
|
||||
Annotated[ResponseInputFile, Tag("input_file")],
|
||||
Annotated[ResponseInputAudio, Tag("input_audio")],
|
||||
],
|
||||
Discriminator(lambda m: get_discriminator(m, "type", "type")),
|
||||
]
|
||||
|
||||
|
||||
class OpenAIResponsesInputMessage2TypedDict(TypedDict):
|
||||
id: str
|
||||
role: OpenAIResponsesInputRoleUnion2TypedDict
|
||||
content: List[OpenAIResponsesInputContent3TypedDict]
|
||||
type: NotRequired[OpenAIResponsesInputTypeMessage2]
|
||||
|
||||
|
||||
class OpenAIResponsesInputMessage2(BaseModel):
|
||||
id: str
|
||||
|
||||
role: OpenAIResponsesInputRoleUnion2
|
||||
|
||||
content: List[OpenAIResponsesInputContent3]
|
||||
|
||||
type: Optional[OpenAIResponsesInputTypeMessage2] = None
|
||||
|
||||
|
||||
OpenAIResponsesInputTypeMessage1 = Literal["message",]
|
||||
|
||||
|
||||
OpenAIResponsesInputRoleDeveloper1 = Literal["developer",]
|
||||
|
||||
|
||||
OpenAIResponsesInputRoleAssistant = Literal["assistant",]
|
||||
|
||||
|
||||
OpenAIResponsesInputRoleSystem1 = Literal["system",]
|
||||
|
||||
|
||||
OpenAIResponsesInputRoleUser1 = Literal["user",]
|
||||
|
||||
|
||||
OpenAIResponsesInputRoleUnion1TypedDict = TypeAliasType(
|
||||
"OpenAIResponsesInputRoleUnion1TypedDict",
|
||||
Union[
|
||||
OpenAIResponsesInputRoleUser1,
|
||||
OpenAIResponsesInputRoleSystem1,
|
||||
OpenAIResponsesInputRoleAssistant,
|
||||
OpenAIResponsesInputRoleDeveloper1,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
OpenAIResponsesInputRoleUnion1 = TypeAliasType(
|
||||
"OpenAIResponsesInputRoleUnion1",
|
||||
Union[
|
||||
OpenAIResponsesInputRoleUser1,
|
||||
OpenAIResponsesInputRoleSystem1,
|
||||
OpenAIResponsesInputRoleAssistant,
|
||||
OpenAIResponsesInputRoleDeveloper1,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
OpenAIResponsesInputContent1TypedDict = TypeAliasType(
|
||||
"OpenAIResponsesInputContent1TypedDict",
|
||||
Union[
|
||||
ResponseInputTextTypedDict,
|
||||
ResponseInputAudioTypedDict,
|
||||
ResponseInputImageTypedDict,
|
||||
ResponseInputFileTypedDict,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
OpenAIResponsesInputContent1 = Annotated[
|
||||
Union[
|
||||
Annotated[ResponseInputText, Tag("input_text")],
|
||||
Annotated[ResponseInputImage, Tag("input_image")],
|
||||
Annotated[ResponseInputFile, Tag("input_file")],
|
||||
Annotated[ResponseInputAudio, Tag("input_audio")],
|
||||
],
|
||||
Discriminator(lambda m: get_discriminator(m, "type", "type")),
|
||||
]
|
||||
|
||||
|
||||
OpenAIResponsesInputContent2TypedDict = TypeAliasType(
|
||||
"OpenAIResponsesInputContent2TypedDict",
|
||||
Union[List[OpenAIResponsesInputContent1TypedDict], str],
|
||||
)
|
||||
|
||||
|
||||
OpenAIResponsesInputContent2 = TypeAliasType(
|
||||
"OpenAIResponsesInputContent2", Union[List[OpenAIResponsesInputContent1], str]
|
||||
)
|
||||
|
||||
|
||||
class OpenAIResponsesInputMessage1TypedDict(TypedDict):
|
||||
role: OpenAIResponsesInputRoleUnion1TypedDict
|
||||
content: OpenAIResponsesInputContent2TypedDict
|
||||
type: NotRequired[OpenAIResponsesInputTypeMessage1]
|
||||
|
||||
|
||||
class OpenAIResponsesInputMessage1(BaseModel):
|
||||
role: OpenAIResponsesInputRoleUnion1
|
||||
|
||||
content: OpenAIResponsesInputContent2
|
||||
|
||||
type: Optional[OpenAIResponsesInputTypeMessage1] = None
|
||||
|
||||
|
||||
OpenAIResponsesInputUnion1TypedDict = TypeAliasType(
|
||||
"OpenAIResponsesInputUnion1TypedDict",
|
||||
Union[
|
||||
OpenAIResponsesInputMessage1TypedDict,
|
||||
OpenAIResponsesInputMessage2TypedDict,
|
||||
OutputItemImageGenerationCallTypedDict,
|
||||
OpenAIResponsesInputFunctionCallOutputTypedDict,
|
||||
OutputMessageTypedDict,
|
||||
OpenAIResponsesInputFunctionCallTypedDict,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
OpenAIResponsesInputUnion1 = TypeAliasType(
|
||||
"OpenAIResponsesInputUnion1",
|
||||
Union[
|
||||
OpenAIResponsesInputMessage1,
|
||||
OpenAIResponsesInputMessage2,
|
||||
OutputItemImageGenerationCall,
|
||||
OpenAIResponsesInputFunctionCallOutput,
|
||||
OutputMessage,
|
||||
OpenAIResponsesInputFunctionCall,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
OpenAIResponsesInputUnionTypedDict = TypeAliasType(
|
||||
"OpenAIResponsesInputUnionTypedDict",
|
||||
Union[str, List[OpenAIResponsesInputUnion1TypedDict], Any],
|
||||
)
|
||||
|
||||
|
||||
OpenAIResponsesInputUnion = TypeAliasType(
|
||||
"OpenAIResponsesInputUnion", Union[str, List[OpenAIResponsesInputUnion1], Any]
|
||||
)
|
||||
@@ -1,73 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .responseinputfile import ResponseInputFile, ResponseInputFileTypedDict
|
||||
from .responseinputimage import ResponseInputImage, ResponseInputImageTypedDict
|
||||
from .responseinputtext import ResponseInputText, ResponseInputTextTypedDict
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from pydantic import model_serializer
|
||||
from typing import Dict, Union
|
||||
from typing_extensions import NotRequired, TypeAliasType, TypedDict
|
||||
|
||||
|
||||
VariablesTypedDict = TypeAliasType(
|
||||
"VariablesTypedDict",
|
||||
Union[
|
||||
ResponseInputTextTypedDict,
|
||||
ResponseInputImageTypedDict,
|
||||
ResponseInputFileTypedDict,
|
||||
str,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
Variables = TypeAliasType(
|
||||
"Variables", Union[ResponseInputText, ResponseInputImage, ResponseInputFile, str]
|
||||
)
|
||||
|
||||
|
||||
class OpenAIResponsesPromptTypedDict(TypedDict):
|
||||
id: str
|
||||
variables: NotRequired[Nullable[Dict[str, VariablesTypedDict]]]
|
||||
|
||||
|
||||
class OpenAIResponsesPrompt(BaseModel):
|
||||
id: str
|
||||
|
||||
variables: OptionalNullable[Dict[str, Variables]] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["variables"]
|
||||
nullable_fields = ["variables"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,63 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .openairesponsesreasoningeffort import OpenAIResponsesReasoningEffort
|
||||
from .reasoningsummaryverbosity import ReasoningSummaryVerbosity
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from openrouter.utils import validate_open_enum
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing import Optional
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
class OpenAIResponsesReasoningConfigTypedDict(TypedDict):
|
||||
effort: NotRequired[Nullable[OpenAIResponsesReasoningEffort]]
|
||||
summary: NotRequired[ReasoningSummaryVerbosity]
|
||||
|
||||
|
||||
class OpenAIResponsesReasoningConfig(BaseModel):
|
||||
effort: Annotated[
|
||||
OptionalNullable[OpenAIResponsesReasoningEffort],
|
||||
PlainValidator(validate_open_enum(False)),
|
||||
] = UNSET
|
||||
|
||||
summary: Annotated[
|
||||
Optional[ReasoningSummaryVerbosity], PlainValidator(validate_open_enum(False))
|
||||
] = None
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["effort", "summary"]
|
||||
nullable_fields = ["effort"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,16 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import UnrecognizedStr
|
||||
from typing import Literal, Union
|
||||
|
||||
|
||||
OpenAIResponsesReasoningEffort = Union[
|
||||
Literal[
|
||||
"high",
|
||||
"medium",
|
||||
"low",
|
||||
"minimal",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
@@ -1,20 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from typing import Literal
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
OpenAIResponsesRefusalContentType = Literal["refusal",]
|
||||
|
||||
|
||||
class OpenAIResponsesRefusalContentTypedDict(TypedDict):
|
||||
type: OpenAIResponsesRefusalContentType
|
||||
refusal: str
|
||||
|
||||
|
||||
class OpenAIResponsesRefusalContent(BaseModel):
|
||||
type: OpenAIResponsesRefusalContentType
|
||||
|
||||
refusal: str
|
||||
@@ -1,18 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import UnrecognizedStr
|
||||
from typing import Literal, Union
|
||||
|
||||
|
||||
OpenAIResponsesResponseStatus = Union[
|
||||
Literal[
|
||||
"completed",
|
||||
"incomplete",
|
||||
"in_progress",
|
||||
"failed",
|
||||
"cancelled",
|
||||
"queued",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
@@ -1,17 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import UnrecognizedStr
|
||||
from typing import Literal, Union
|
||||
|
||||
|
||||
OpenAIResponsesServiceTier = Union[
|
||||
Literal[
|
||||
"auto",
|
||||
"default",
|
||||
"flex",
|
||||
"priority",
|
||||
"scale",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
@@ -1,87 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from typing import Literal, Union
|
||||
from typing_extensions import TypeAliasType, TypedDict
|
||||
|
||||
|
||||
OpenAIResponsesToolChoiceTypeWebSearchPreview = Literal["web_search_preview",]
|
||||
|
||||
|
||||
OpenAIResponsesToolChoiceTypeWebSearchPreview20250311 = Literal[
|
||||
"web_search_preview_2025_03_11",
|
||||
]
|
||||
|
||||
|
||||
TypeTypedDict = TypeAliasType(
|
||||
"TypeTypedDict",
|
||||
Union[
|
||||
OpenAIResponsesToolChoiceTypeWebSearchPreview20250311,
|
||||
OpenAIResponsesToolChoiceTypeWebSearchPreview,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
Type = TypeAliasType(
|
||||
"Type",
|
||||
Union[
|
||||
OpenAIResponsesToolChoiceTypeWebSearchPreview20250311,
|
||||
OpenAIResponsesToolChoiceTypeWebSearchPreview,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
class OpenAIResponsesToolChoiceTypedDict(TypedDict):
|
||||
type: TypeTypedDict
|
||||
|
||||
|
||||
class OpenAIResponsesToolChoice(BaseModel):
|
||||
type: Type
|
||||
|
||||
|
||||
OpenAIResponsesToolChoiceTypeFunction = Literal["function",]
|
||||
|
||||
|
||||
class OpenAIResponsesToolChoiceFunctionTypedDict(TypedDict):
|
||||
type: OpenAIResponsesToolChoiceTypeFunction
|
||||
name: str
|
||||
|
||||
|
||||
class OpenAIResponsesToolChoiceFunction(BaseModel):
|
||||
type: OpenAIResponsesToolChoiceTypeFunction
|
||||
|
||||
name: str
|
||||
|
||||
|
||||
OpenAIResponsesToolChoiceRequired = Literal["required",]
|
||||
|
||||
|
||||
OpenAIResponsesToolChoiceNone = Literal["none",]
|
||||
|
||||
|
||||
OpenAIResponsesToolChoiceAuto = Literal["auto",]
|
||||
|
||||
|
||||
OpenAIResponsesToolChoiceUnionTypedDict = TypeAliasType(
|
||||
"OpenAIResponsesToolChoiceUnionTypedDict",
|
||||
Union[
|
||||
OpenAIResponsesToolChoiceTypedDict,
|
||||
OpenAIResponsesToolChoiceFunctionTypedDict,
|
||||
OpenAIResponsesToolChoiceAuto,
|
||||
OpenAIResponsesToolChoiceNone,
|
||||
OpenAIResponsesToolChoiceRequired,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
OpenAIResponsesToolChoiceUnion = TypeAliasType(
|
||||
"OpenAIResponsesToolChoiceUnion",
|
||||
Union[
|
||||
OpenAIResponsesToolChoice,
|
||||
OpenAIResponsesToolChoiceFunction,
|
||||
OpenAIResponsesToolChoiceAuto,
|
||||
OpenAIResponsesToolChoiceNone,
|
||||
OpenAIResponsesToolChoiceRequired,
|
||||
],
|
||||
)
|
||||
@@ -1,14 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import UnrecognizedStr
|
||||
from typing import Literal, Union
|
||||
|
||||
|
||||
OpenAIResponsesTruncation = Union[
|
||||
Literal[
|
||||
"auto",
|
||||
"disabled",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
@@ -1,97 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .responseinputaudio import ResponseInputAudio, ResponseInputAudioTypedDict
|
||||
from .responseinputfile import ResponseInputFile, ResponseInputFileTypedDict
|
||||
from .responseinputimage import ResponseInputImage, ResponseInputImageTypedDict
|
||||
from .responseinputtext import ResponseInputText, ResponseInputTextTypedDict
|
||||
from openrouter.types import BaseModel
|
||||
from openrouter.utils import get_discriminator
|
||||
from pydantic import Discriminator, Tag
|
||||
from typing import List, Literal, Optional, Union
|
||||
from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
|
||||
|
||||
|
||||
OpenResponsesEasyInputMessageType = Literal["message",]
|
||||
|
||||
|
||||
OpenResponsesEasyInputMessageRoleDeveloper = Literal["developer",]
|
||||
|
||||
|
||||
OpenResponsesEasyInputMessageRoleAssistant = Literal["assistant",]
|
||||
|
||||
|
||||
OpenResponsesEasyInputMessageRoleSystem = Literal["system",]
|
||||
|
||||
|
||||
OpenResponsesEasyInputMessageRoleUser = Literal["user",]
|
||||
|
||||
|
||||
OpenResponsesEasyInputMessageRoleUnionTypedDict = TypeAliasType(
|
||||
"OpenResponsesEasyInputMessageRoleUnionTypedDict",
|
||||
Union[
|
||||
OpenResponsesEasyInputMessageRoleUser,
|
||||
OpenResponsesEasyInputMessageRoleSystem,
|
||||
OpenResponsesEasyInputMessageRoleAssistant,
|
||||
OpenResponsesEasyInputMessageRoleDeveloper,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
OpenResponsesEasyInputMessageRoleUnion = TypeAliasType(
|
||||
"OpenResponsesEasyInputMessageRoleUnion",
|
||||
Union[
|
||||
OpenResponsesEasyInputMessageRoleUser,
|
||||
OpenResponsesEasyInputMessageRoleSystem,
|
||||
OpenResponsesEasyInputMessageRoleAssistant,
|
||||
OpenResponsesEasyInputMessageRoleDeveloper,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
OpenResponsesEasyInputMessageContent1TypedDict = TypeAliasType(
|
||||
"OpenResponsesEasyInputMessageContent1TypedDict",
|
||||
Union[
|
||||
ResponseInputTextTypedDict,
|
||||
ResponseInputAudioTypedDict,
|
||||
ResponseInputImageTypedDict,
|
||||
ResponseInputFileTypedDict,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
OpenResponsesEasyInputMessageContent1 = Annotated[
|
||||
Union[
|
||||
Annotated[ResponseInputText, Tag("input_text")],
|
||||
Annotated[ResponseInputImage, Tag("input_image")],
|
||||
Annotated[ResponseInputFile, Tag("input_file")],
|
||||
Annotated[ResponseInputAudio, Tag("input_audio")],
|
||||
],
|
||||
Discriminator(lambda m: get_discriminator(m, "type", "type")),
|
||||
]
|
||||
|
||||
|
||||
OpenResponsesEasyInputMessageContent2TypedDict = TypeAliasType(
|
||||
"OpenResponsesEasyInputMessageContent2TypedDict",
|
||||
Union[List[OpenResponsesEasyInputMessageContent1TypedDict], str],
|
||||
)
|
||||
|
||||
|
||||
OpenResponsesEasyInputMessageContent2 = TypeAliasType(
|
||||
"OpenResponsesEasyInputMessageContent2",
|
||||
Union[List[OpenResponsesEasyInputMessageContent1], str],
|
||||
)
|
||||
|
||||
|
||||
class OpenResponsesEasyInputMessageTypedDict(TypedDict):
|
||||
role: OpenResponsesEasyInputMessageRoleUnionTypedDict
|
||||
content: OpenResponsesEasyInputMessageContent2TypedDict
|
||||
type: NotRequired[OpenResponsesEasyInputMessageType]
|
||||
|
||||
|
||||
class OpenResponsesEasyInputMessage(BaseModel):
|
||||
role: OpenResponsesEasyInputMessageRoleUnion
|
||||
|
||||
content: OpenResponsesEasyInputMessageContent2
|
||||
|
||||
type: Optional[OpenResponsesEasyInputMessageType] = None
|
||||
@@ -1,64 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel, Nullable, UNSET_SENTINEL
|
||||
from pydantic import model_serializer
|
||||
from typing import Literal
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
OpenResponsesErrorEventType = Literal["error",]
|
||||
|
||||
|
||||
class OpenResponsesErrorEventTypedDict(TypedDict):
|
||||
r"""Event emitted when an error occurs during streaming"""
|
||||
|
||||
type: OpenResponsesErrorEventType
|
||||
code: Nullable[str]
|
||||
message: str
|
||||
param: Nullable[str]
|
||||
sequence_number: float
|
||||
|
||||
|
||||
class OpenResponsesErrorEvent(BaseModel):
|
||||
r"""Event emitted when an error occurs during streaming"""
|
||||
|
||||
type: OpenResponsesErrorEventType
|
||||
|
||||
code: Nullable[str]
|
||||
|
||||
message: str
|
||||
|
||||
param: Nullable[str]
|
||||
|
||||
sequence_number: float
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = []
|
||||
nullable_fields = ["code", "param"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,75 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .toolcallstatus import ToolCallStatus
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from openrouter.utils import validate_open_enum
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing import Literal
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
OpenResponsesFunctionCallOutputType = Literal["function_call_output",]
|
||||
|
||||
|
||||
class OpenResponsesFunctionCallOutputTypedDict(TypedDict):
|
||||
r"""The output from a function call execution"""
|
||||
|
||||
type: OpenResponsesFunctionCallOutputType
|
||||
call_id: str
|
||||
output: str
|
||||
id: NotRequired[Nullable[str]]
|
||||
status: NotRequired[Nullable[ToolCallStatus]]
|
||||
|
||||
|
||||
class OpenResponsesFunctionCallOutput(BaseModel):
|
||||
r"""The output from a function call execution"""
|
||||
|
||||
type: OpenResponsesFunctionCallOutputType
|
||||
|
||||
call_id: str
|
||||
|
||||
output: str
|
||||
|
||||
id: OptionalNullable[str] = UNSET
|
||||
|
||||
status: Annotated[
|
||||
OptionalNullable[ToolCallStatus], PlainValidator(validate_open_enum(False))
|
||||
] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["id", "status"]
|
||||
nullable_fields = ["id", "status"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,78 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .toolcallstatus import ToolCallStatus
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from openrouter.utils import validate_open_enum
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing import Literal
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
OpenResponsesFunctionToolCallType = Literal["function_call",]
|
||||
|
||||
|
||||
class OpenResponsesFunctionToolCallTypedDict(TypedDict):
|
||||
r"""A function call initiated by the model"""
|
||||
|
||||
type: OpenResponsesFunctionToolCallType
|
||||
call_id: str
|
||||
name: str
|
||||
arguments: str
|
||||
id: str
|
||||
status: NotRequired[Nullable[ToolCallStatus]]
|
||||
|
||||
|
||||
class OpenResponsesFunctionToolCall(BaseModel):
|
||||
r"""A function call initiated by the model"""
|
||||
|
||||
type: OpenResponsesFunctionToolCallType
|
||||
|
||||
call_id: str
|
||||
|
||||
name: str
|
||||
|
||||
arguments: str
|
||||
|
||||
id: str
|
||||
|
||||
status: Annotated[
|
||||
OptionalNullable[ToolCallStatus], PlainValidator(validate_open_enum(False))
|
||||
] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["status"]
|
||||
nullable_fields = ["status"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,32 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from typing import Literal
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
OpenResponsesImageGenCallCompletedType = Literal[
|
||||
"response.image_generation_call.completed",
|
||||
]
|
||||
|
||||
|
||||
class OpenResponsesImageGenCallCompletedTypedDict(TypedDict):
|
||||
r"""Image generation call completed"""
|
||||
|
||||
type: OpenResponsesImageGenCallCompletedType
|
||||
item_id: str
|
||||
output_index: float
|
||||
sequence_number: float
|
||||
|
||||
|
||||
class OpenResponsesImageGenCallCompleted(BaseModel):
|
||||
r"""Image generation call completed"""
|
||||
|
||||
type: OpenResponsesImageGenCallCompletedType
|
||||
|
||||
item_id: str
|
||||
|
||||
output_index: float
|
||||
|
||||
sequence_number: float
|
||||
@@ -1,32 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from typing import Literal
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
OpenResponsesImageGenCallGeneratingType = Literal[
|
||||
"response.image_generation_call.generating",
|
||||
]
|
||||
|
||||
|
||||
class OpenResponsesImageGenCallGeneratingTypedDict(TypedDict):
|
||||
r"""Image generation call is generating"""
|
||||
|
||||
type: OpenResponsesImageGenCallGeneratingType
|
||||
item_id: str
|
||||
output_index: float
|
||||
sequence_number: float
|
||||
|
||||
|
||||
class OpenResponsesImageGenCallGenerating(BaseModel):
|
||||
r"""Image generation call is generating"""
|
||||
|
||||
type: OpenResponsesImageGenCallGeneratingType
|
||||
|
||||
item_id: str
|
||||
|
||||
output_index: float
|
||||
|
||||
sequence_number: float
|
||||
@@ -1,32 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from typing import Literal
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
OpenResponsesImageGenCallInProgressType = Literal[
|
||||
"response.image_generation_call.in_progress",
|
||||
]
|
||||
|
||||
|
||||
class OpenResponsesImageGenCallInProgressTypedDict(TypedDict):
|
||||
r"""Image generation call in progress"""
|
||||
|
||||
type: OpenResponsesImageGenCallInProgressType
|
||||
item_id: str
|
||||
output_index: float
|
||||
sequence_number: float
|
||||
|
||||
|
||||
class OpenResponsesImageGenCallInProgress(BaseModel):
|
||||
r"""Image generation call in progress"""
|
||||
|
||||
type: OpenResponsesImageGenCallInProgressType
|
||||
|
||||
item_id: str
|
||||
|
||||
output_index: float
|
||||
|
||||
sequence_number: float
|
||||
@@ -1,38 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from typing import Literal
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
OpenResponsesImageGenCallPartialImageType = Literal[
|
||||
"response.image_generation_call.partial_image",
|
||||
]
|
||||
|
||||
|
||||
class OpenResponsesImageGenCallPartialImageTypedDict(TypedDict):
|
||||
r"""Image generation call with partial image"""
|
||||
|
||||
type: OpenResponsesImageGenCallPartialImageType
|
||||
item_id: str
|
||||
output_index: float
|
||||
sequence_number: float
|
||||
partial_image_b64: str
|
||||
partial_image_index: float
|
||||
|
||||
|
||||
class OpenResponsesImageGenCallPartialImage(BaseModel):
|
||||
r"""Image generation call with partial image"""
|
||||
|
||||
type: OpenResponsesImageGenCallPartialImageType
|
||||
|
||||
item_id: str
|
||||
|
||||
output_index: float
|
||||
|
||||
sequence_number: float
|
||||
|
||||
partial_image_b64: str
|
||||
|
||||
partial_image_index: float
|
||||
@@ -1,97 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .openresponseseasyinputmessage import (
|
||||
OpenResponsesEasyInputMessage,
|
||||
OpenResponsesEasyInputMessageTypedDict,
|
||||
)
|
||||
from .openresponsesfunctioncalloutput import (
|
||||
OpenResponsesFunctionCallOutput,
|
||||
OpenResponsesFunctionCallOutputTypedDict,
|
||||
)
|
||||
from .openresponsesfunctiontoolcall import (
|
||||
OpenResponsesFunctionToolCall,
|
||||
OpenResponsesFunctionToolCallTypedDict,
|
||||
)
|
||||
from .openresponsesinputmessageitem import (
|
||||
OpenResponsesInputMessageItem,
|
||||
OpenResponsesInputMessageItemTypedDict,
|
||||
)
|
||||
from .openresponsesreasoning import (
|
||||
OpenResponsesReasoning,
|
||||
OpenResponsesReasoningTypedDict,
|
||||
)
|
||||
from .responsesimagegenerationcall import (
|
||||
ResponsesImageGenerationCall,
|
||||
ResponsesImageGenerationCallTypedDict,
|
||||
)
|
||||
from .responsesoutputitemfilesearchcall import (
|
||||
ResponsesOutputItemFileSearchCall,
|
||||
ResponsesOutputItemFileSearchCallTypedDict,
|
||||
)
|
||||
from .responsesoutputitemfunctioncall import (
|
||||
ResponsesOutputItemFunctionCall,
|
||||
ResponsesOutputItemFunctionCallTypedDict,
|
||||
)
|
||||
from .responsesoutputitemreasoning import (
|
||||
ResponsesOutputItemReasoning,
|
||||
ResponsesOutputItemReasoningTypedDict,
|
||||
)
|
||||
from .responsesoutputmessage import (
|
||||
ResponsesOutputMessage,
|
||||
ResponsesOutputMessageTypedDict,
|
||||
)
|
||||
from .responseswebsearchcalloutput import (
|
||||
ResponsesWebSearchCallOutput,
|
||||
ResponsesWebSearchCallOutputTypedDict,
|
||||
)
|
||||
from typing import List, Union
|
||||
from typing_extensions import TypeAliasType
|
||||
|
||||
|
||||
OpenResponsesInput1TypedDict = TypeAliasType(
|
||||
"OpenResponsesInput1TypedDict",
|
||||
Union[
|
||||
OpenResponsesEasyInputMessageTypedDict,
|
||||
ResponsesWebSearchCallOutputTypedDict,
|
||||
OpenResponsesInputMessageItemTypedDict,
|
||||
ResponsesOutputItemFileSearchCallTypedDict,
|
||||
ResponsesImageGenerationCallTypedDict,
|
||||
OpenResponsesFunctionCallOutputTypedDict,
|
||||
ResponsesOutputMessageTypedDict,
|
||||
OpenResponsesFunctionToolCallTypedDict,
|
||||
ResponsesOutputItemReasoningTypedDict,
|
||||
ResponsesOutputItemFunctionCallTypedDict,
|
||||
OpenResponsesReasoningTypedDict,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
OpenResponsesInput1 = TypeAliasType(
|
||||
"OpenResponsesInput1",
|
||||
Union[
|
||||
OpenResponsesEasyInputMessage,
|
||||
ResponsesWebSearchCallOutput,
|
||||
OpenResponsesInputMessageItem,
|
||||
ResponsesOutputItemFileSearchCall,
|
||||
ResponsesImageGenerationCall,
|
||||
OpenResponsesFunctionCallOutput,
|
||||
ResponsesOutputMessage,
|
||||
OpenResponsesFunctionToolCall,
|
||||
ResponsesOutputItemReasoning,
|
||||
ResponsesOutputItemFunctionCall,
|
||||
OpenResponsesReasoning,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
OpenResponsesInputTypedDict = TypeAliasType(
|
||||
"OpenResponsesInputTypedDict", Union[str, List[OpenResponsesInput1TypedDict]]
|
||||
)
|
||||
r"""Input for a response request - can be a string or array of items"""
|
||||
|
||||
|
||||
OpenResponsesInput = TypeAliasType(
|
||||
"OpenResponsesInput", Union[str, List[OpenResponsesInput1]]
|
||||
)
|
||||
r"""Input for a response request - can be a string or array of items"""
|
||||
@@ -1,83 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .responseinputaudio import ResponseInputAudio, ResponseInputAudioTypedDict
|
||||
from .responseinputfile import ResponseInputFile, ResponseInputFileTypedDict
|
||||
from .responseinputimage import ResponseInputImage, ResponseInputImageTypedDict
|
||||
from .responseinputtext import ResponseInputText, ResponseInputTextTypedDict
|
||||
from openrouter.types import BaseModel
|
||||
from openrouter.utils import get_discriminator
|
||||
from pydantic import Discriminator, Tag
|
||||
from typing import List, Literal, Optional, Union
|
||||
from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
|
||||
|
||||
|
||||
OpenResponsesInputMessageItemType = Literal["message",]
|
||||
|
||||
|
||||
OpenResponsesInputMessageItemRoleDeveloper = Literal["developer",]
|
||||
|
||||
|
||||
OpenResponsesInputMessageItemRoleSystem = Literal["system",]
|
||||
|
||||
|
||||
OpenResponsesInputMessageItemRoleUser = Literal["user",]
|
||||
|
||||
|
||||
OpenResponsesInputMessageItemRoleUnionTypedDict = TypeAliasType(
|
||||
"OpenResponsesInputMessageItemRoleUnionTypedDict",
|
||||
Union[
|
||||
OpenResponsesInputMessageItemRoleUser,
|
||||
OpenResponsesInputMessageItemRoleSystem,
|
||||
OpenResponsesInputMessageItemRoleDeveloper,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
OpenResponsesInputMessageItemRoleUnion = TypeAliasType(
|
||||
"OpenResponsesInputMessageItemRoleUnion",
|
||||
Union[
|
||||
OpenResponsesInputMessageItemRoleUser,
|
||||
OpenResponsesInputMessageItemRoleSystem,
|
||||
OpenResponsesInputMessageItemRoleDeveloper,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
OpenResponsesInputMessageItemContentTypedDict = TypeAliasType(
|
||||
"OpenResponsesInputMessageItemContentTypedDict",
|
||||
Union[
|
||||
ResponseInputTextTypedDict,
|
||||
ResponseInputAudioTypedDict,
|
||||
ResponseInputImageTypedDict,
|
||||
ResponseInputFileTypedDict,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
OpenResponsesInputMessageItemContent = Annotated[
|
||||
Union[
|
||||
Annotated[ResponseInputText, Tag("input_text")],
|
||||
Annotated[ResponseInputImage, Tag("input_image")],
|
||||
Annotated[ResponseInputFile, Tag("input_file")],
|
||||
Annotated[ResponseInputAudio, Tag("input_audio")],
|
||||
],
|
||||
Discriminator(lambda m: get_discriminator(m, "type", "type")),
|
||||
]
|
||||
|
||||
|
||||
class OpenResponsesInputMessageItemTypedDict(TypedDict):
|
||||
role: OpenResponsesInputMessageItemRoleUnionTypedDict
|
||||
content: List[OpenResponsesInputMessageItemContentTypedDict]
|
||||
id: NotRequired[str]
|
||||
type: NotRequired[OpenResponsesInputMessageItemType]
|
||||
|
||||
|
||||
class OpenResponsesInputMessageItem(BaseModel):
|
||||
role: OpenResponsesInputMessageItemRoleUnion
|
||||
|
||||
content: List[OpenResponsesInputMessageItemContent]
|
||||
|
||||
id: Optional[str] = None
|
||||
|
||||
type: Optional[OpenResponsesInputMessageItemType] = None
|
||||
@@ -1,28 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .openresponsestoplogprobs import (
|
||||
OpenResponsesTopLogprobs,
|
||||
OpenResponsesTopLogprobsTypedDict,
|
||||
)
|
||||
from openrouter.types import BaseModel
|
||||
from typing import List, Optional
|
||||
from typing_extensions import NotRequired, TypedDict
|
||||
|
||||
|
||||
class OpenResponsesLogProbsTypedDict(TypedDict):
|
||||
r"""Log probability information for a token"""
|
||||
|
||||
logprob: float
|
||||
token: str
|
||||
top_logprobs: NotRequired[List[OpenResponsesTopLogprobsTypedDict]]
|
||||
|
||||
|
||||
class OpenResponsesLogProbs(BaseModel):
|
||||
r"""Log probability information for a token"""
|
||||
|
||||
logprob: float
|
||||
|
||||
token: str
|
||||
|
||||
top_logprobs: Optional[List[OpenResponsesTopLogprobs]] = None
|
||||
@@ -1,324 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .openairesponsesincompletedetails import (
|
||||
OpenAIResponsesIncompleteDetails,
|
||||
OpenAIResponsesIncompleteDetailsTypedDict,
|
||||
)
|
||||
from .openairesponsesinput_union import (
|
||||
OpenAIResponsesInputUnion,
|
||||
OpenAIResponsesInputUnionTypedDict,
|
||||
)
|
||||
from .openairesponsesprompt import OpenAIResponsesPrompt, OpenAIResponsesPromptTypedDict
|
||||
from .openairesponsesreasoningconfig import (
|
||||
OpenAIResponsesReasoningConfig,
|
||||
OpenAIResponsesReasoningConfigTypedDict,
|
||||
)
|
||||
from .openairesponsesresponsestatus import OpenAIResponsesResponseStatus
|
||||
from .openairesponsesservicetier import OpenAIResponsesServiceTier
|
||||
from .openairesponsestoolchoice_union import (
|
||||
OpenAIResponsesToolChoiceUnion,
|
||||
OpenAIResponsesToolChoiceUnionTypedDict,
|
||||
)
|
||||
from .openairesponsestruncation import OpenAIResponsesTruncation
|
||||
from .openresponsesusage import OpenResponsesUsage, OpenResponsesUsageTypedDict
|
||||
from .openresponseswebsearch20250826tool import (
|
||||
OpenResponsesWebSearch20250826Tool,
|
||||
OpenResponsesWebSearch20250826ToolTypedDict,
|
||||
)
|
||||
from .openresponseswebsearchpreview20250311tool import (
|
||||
OpenResponsesWebSearchPreview20250311Tool,
|
||||
OpenResponsesWebSearchPreview20250311ToolTypedDict,
|
||||
)
|
||||
from .openresponseswebsearchpreviewtool import (
|
||||
OpenResponsesWebSearchPreviewTool,
|
||||
OpenResponsesWebSearchPreviewToolTypedDict,
|
||||
)
|
||||
from .openresponseswebsearchtool import (
|
||||
OpenResponsesWebSearchTool,
|
||||
OpenResponsesWebSearchToolTypedDict,
|
||||
)
|
||||
from .responseserrorfield import ResponsesErrorField, ResponsesErrorFieldTypedDict
|
||||
from .responsesoutputitem import ResponsesOutputItem, ResponsesOutputItemTypedDict
|
||||
from .responsetextconfig import ResponseTextConfig, ResponseTextConfigTypedDict
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from openrouter.utils import validate_open_enum
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing import Any, Dict, List, Literal, Optional, Union
|
||||
from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
|
||||
|
||||
|
||||
Object = Literal["response",]
|
||||
|
||||
|
||||
OpenResponsesNonStreamingResponseType = Literal["function",]
|
||||
|
||||
|
||||
class OpenResponsesNonStreamingResponseToolFunctionTypedDict(TypedDict):
|
||||
r"""Function tool definition"""
|
||||
|
||||
type: OpenResponsesNonStreamingResponseType
|
||||
name: str
|
||||
parameters: Nullable[Dict[str, Nullable[Any]]]
|
||||
description: NotRequired[Nullable[str]]
|
||||
strict: NotRequired[Nullable[bool]]
|
||||
|
||||
|
||||
class OpenResponsesNonStreamingResponseToolFunction(BaseModel):
|
||||
r"""Function tool definition"""
|
||||
|
||||
type: OpenResponsesNonStreamingResponseType
|
||||
|
||||
name: str
|
||||
|
||||
parameters: Nullable[Dict[str, Nullable[Any]]]
|
||||
|
||||
description: OptionalNullable[str] = UNSET
|
||||
|
||||
strict: OptionalNullable[bool] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["description", "strict"]
|
||||
nullable_fields = ["description", "strict", "parameters"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
OpenResponsesNonStreamingResponseToolUnionTypedDict = TypeAliasType(
|
||||
"OpenResponsesNonStreamingResponseToolUnionTypedDict",
|
||||
Union[
|
||||
OpenResponsesWebSearchPreviewToolTypedDict,
|
||||
OpenResponsesWebSearchPreview20250311ToolTypedDict,
|
||||
OpenResponsesWebSearchToolTypedDict,
|
||||
OpenResponsesWebSearch20250826ToolTypedDict,
|
||||
OpenResponsesNonStreamingResponseToolFunctionTypedDict,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
OpenResponsesNonStreamingResponseToolUnion = TypeAliasType(
|
||||
"OpenResponsesNonStreamingResponseToolUnion",
|
||||
Union[
|
||||
OpenResponsesWebSearchPreviewTool,
|
||||
OpenResponsesWebSearchPreview20250311Tool,
|
||||
OpenResponsesWebSearchTool,
|
||||
OpenResponsesWebSearch20250826Tool,
|
||||
OpenResponsesNonStreamingResponseToolFunction,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
class OpenResponsesNonStreamingResponseTypedDict(TypedDict):
|
||||
r"""Complete non-streaming response from the Responses API"""
|
||||
|
||||
id: str
|
||||
object: Object
|
||||
created_at: float
|
||||
model: str
|
||||
output: List[ResponsesOutputItemTypedDict]
|
||||
error: Nullable[ResponsesErrorFieldTypedDict]
|
||||
r"""Error information returned from the API"""
|
||||
incomplete_details: Nullable[OpenAIResponsesIncompleteDetailsTypedDict]
|
||||
temperature: Nullable[float]
|
||||
top_p: Nullable[float]
|
||||
instructions: Nullable[OpenAIResponsesInputUnionTypedDict]
|
||||
metadata: Nullable[Dict[str, str]]
|
||||
r"""Metadata key-value pairs for the request. Keys must be ≤64 characters and cannot contain brackets. Values must be ≤512 characters. Maximum 16 pairs allowed."""
|
||||
tools: List[OpenResponsesNonStreamingResponseToolUnionTypedDict]
|
||||
tool_choice: OpenAIResponsesToolChoiceUnionTypedDict
|
||||
parallel_tool_calls: bool
|
||||
status: NotRequired[OpenAIResponsesResponseStatus]
|
||||
user: NotRequired[Nullable[str]]
|
||||
output_text: NotRequired[str]
|
||||
prompt_cache_key: NotRequired[Nullable[str]]
|
||||
safety_identifier: NotRequired[Nullable[str]]
|
||||
usage: NotRequired[OpenResponsesUsageTypedDict]
|
||||
r"""Token usage information for the response"""
|
||||
max_tool_calls: NotRequired[Nullable[float]]
|
||||
top_logprobs: NotRequired[float]
|
||||
max_output_tokens: NotRequired[Nullable[float]]
|
||||
prompt: NotRequired[Nullable[OpenAIResponsesPromptTypedDict]]
|
||||
background: NotRequired[Nullable[bool]]
|
||||
previous_response_id: NotRequired[Nullable[str]]
|
||||
reasoning: NotRequired[Nullable[OpenAIResponsesReasoningConfigTypedDict]]
|
||||
service_tier: NotRequired[Nullable[OpenAIResponsesServiceTier]]
|
||||
store: NotRequired[bool]
|
||||
truncation: NotRequired[Nullable[OpenAIResponsesTruncation]]
|
||||
text: NotRequired[ResponseTextConfigTypedDict]
|
||||
r"""Text output configuration including format and verbosity"""
|
||||
|
||||
|
||||
class OpenResponsesNonStreamingResponse(BaseModel):
|
||||
r"""Complete non-streaming response from the Responses API"""
|
||||
|
||||
id: str
|
||||
|
||||
object: Object
|
||||
|
||||
created_at: float
|
||||
|
||||
model: str
|
||||
|
||||
output: List[ResponsesOutputItem]
|
||||
|
||||
error: Nullable[ResponsesErrorField]
|
||||
r"""Error information returned from the API"""
|
||||
|
||||
incomplete_details: Nullable[OpenAIResponsesIncompleteDetails]
|
||||
|
||||
temperature: Nullable[float]
|
||||
|
||||
top_p: Nullable[float]
|
||||
|
||||
instructions: Nullable[OpenAIResponsesInputUnion]
|
||||
|
||||
metadata: Nullable[Dict[str, str]]
|
||||
r"""Metadata key-value pairs for the request. Keys must be ≤64 characters and cannot contain brackets. Values must be ≤512 characters. Maximum 16 pairs allowed."""
|
||||
|
||||
tools: List[OpenResponsesNonStreamingResponseToolUnion]
|
||||
|
||||
tool_choice: OpenAIResponsesToolChoiceUnion
|
||||
|
||||
parallel_tool_calls: bool
|
||||
|
||||
status: Annotated[
|
||||
Optional[OpenAIResponsesResponseStatus],
|
||||
PlainValidator(validate_open_enum(False)),
|
||||
] = None
|
||||
|
||||
user: OptionalNullable[str] = UNSET
|
||||
|
||||
output_text: Optional[str] = None
|
||||
|
||||
prompt_cache_key: OptionalNullable[str] = UNSET
|
||||
|
||||
safety_identifier: OptionalNullable[str] = UNSET
|
||||
|
||||
usage: Optional[OpenResponsesUsage] = None
|
||||
r"""Token usage information for the response"""
|
||||
|
||||
max_tool_calls: OptionalNullable[float] = UNSET
|
||||
|
||||
top_logprobs: Optional[float] = None
|
||||
|
||||
max_output_tokens: OptionalNullable[float] = UNSET
|
||||
|
||||
prompt: OptionalNullable[OpenAIResponsesPrompt] = UNSET
|
||||
|
||||
background: OptionalNullable[bool] = UNSET
|
||||
|
||||
previous_response_id: OptionalNullable[str] = UNSET
|
||||
|
||||
reasoning: OptionalNullable[OpenAIResponsesReasoningConfig] = UNSET
|
||||
|
||||
service_tier: Annotated[
|
||||
OptionalNullable[OpenAIResponsesServiceTier],
|
||||
PlainValidator(validate_open_enum(False)),
|
||||
] = UNSET
|
||||
|
||||
store: Optional[bool] = None
|
||||
|
||||
truncation: Annotated[
|
||||
OptionalNullable[OpenAIResponsesTruncation],
|
||||
PlainValidator(validate_open_enum(False)),
|
||||
] = UNSET
|
||||
|
||||
text: Optional[ResponseTextConfig] = None
|
||||
r"""Text output configuration including format and verbosity"""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = [
|
||||
"status",
|
||||
"user",
|
||||
"output_text",
|
||||
"prompt_cache_key",
|
||||
"safety_identifier",
|
||||
"usage",
|
||||
"max_tool_calls",
|
||||
"top_logprobs",
|
||||
"max_output_tokens",
|
||||
"prompt",
|
||||
"background",
|
||||
"previous_response_id",
|
||||
"reasoning",
|
||||
"service_tier",
|
||||
"store",
|
||||
"truncation",
|
||||
"text",
|
||||
]
|
||||
nullable_fields = [
|
||||
"user",
|
||||
"prompt_cache_key",
|
||||
"safety_identifier",
|
||||
"error",
|
||||
"incomplete_details",
|
||||
"max_tool_calls",
|
||||
"max_output_tokens",
|
||||
"temperature",
|
||||
"top_p",
|
||||
"instructions",
|
||||
"metadata",
|
||||
"prompt",
|
||||
"background",
|
||||
"previous_response_id",
|
||||
"reasoning",
|
||||
"service_tier",
|
||||
"truncation",
|
||||
]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,137 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .reasoningsummarytext import ReasoningSummaryText, ReasoningSummaryTextTypedDict
|
||||
from .reasoningtextcontent import ReasoningTextContent, ReasoningTextContentTypedDict
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
UnrecognizedStr,
|
||||
)
|
||||
from openrouter.utils import validate_open_enum
|
||||
import pydantic
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing import List, Literal, Optional, Union
|
||||
from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
|
||||
|
||||
|
||||
OpenResponsesReasoningType = Literal["reasoning",]
|
||||
|
||||
|
||||
OpenResponsesReasoningStatusInProgress = Literal["in_progress",]
|
||||
|
||||
|
||||
OpenResponsesReasoningStatusIncomplete = Literal["incomplete",]
|
||||
|
||||
|
||||
OpenResponsesReasoningStatusCompleted = Literal["completed",]
|
||||
|
||||
|
||||
OpenResponsesReasoningStatusUnionTypedDict = TypeAliasType(
|
||||
"OpenResponsesReasoningStatusUnionTypedDict",
|
||||
Union[
|
||||
OpenResponsesReasoningStatusCompleted,
|
||||
OpenResponsesReasoningStatusIncomplete,
|
||||
OpenResponsesReasoningStatusInProgress,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
OpenResponsesReasoningStatusUnion = TypeAliasType(
|
||||
"OpenResponsesReasoningStatusUnion",
|
||||
Union[
|
||||
OpenResponsesReasoningStatusCompleted,
|
||||
OpenResponsesReasoningStatusIncomplete,
|
||||
OpenResponsesReasoningStatusInProgress,
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
OpenResponsesReasoningFormat = Union[
|
||||
Literal[
|
||||
"unknown",
|
||||
"openai-responses-v1",
|
||||
"xai-responses-v1",
|
||||
"anthropic-claude-v1",
|
||||
],
|
||||
UnrecognizedStr,
|
||||
]
|
||||
|
||||
|
||||
class OpenResponsesReasoningTypedDict(TypedDict):
|
||||
r"""Reasoning output item with signature and format extensions"""
|
||||
|
||||
type: OpenResponsesReasoningType
|
||||
id: str
|
||||
summary: List[ReasoningSummaryTextTypedDict]
|
||||
content: NotRequired[List[ReasoningTextContentTypedDict]]
|
||||
encrypted_content: NotRequired[Nullable[str]]
|
||||
status: NotRequired[OpenResponsesReasoningStatusUnionTypedDict]
|
||||
signature: NotRequired[Nullable[str]]
|
||||
format_: NotRequired[Nullable[OpenResponsesReasoningFormat]]
|
||||
|
||||
|
||||
class OpenResponsesReasoning(BaseModel):
|
||||
r"""Reasoning output item with signature and format extensions"""
|
||||
|
||||
type: OpenResponsesReasoningType
|
||||
|
||||
id: str
|
||||
|
||||
summary: List[ReasoningSummaryText]
|
||||
|
||||
content: Optional[List[ReasoningTextContent]] = None
|
||||
|
||||
encrypted_content: OptionalNullable[str] = UNSET
|
||||
|
||||
status: Optional[OpenResponsesReasoningStatusUnion] = None
|
||||
|
||||
signature: OptionalNullable[str] = UNSET
|
||||
|
||||
format_: Annotated[
|
||||
Annotated[
|
||||
OptionalNullable[OpenResponsesReasoningFormat],
|
||||
PlainValidator(validate_open_enum(False)),
|
||||
],
|
||||
pydantic.Field(alias="format"),
|
||||
] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = [
|
||||
"content",
|
||||
"encrypted_content",
|
||||
"status",
|
||||
"signature",
|
||||
"format",
|
||||
]
|
||||
nullable_fields = ["encrypted_content", "signature", "format"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,73 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .openairesponsesreasoningeffort import OpenAIResponsesReasoningEffort
|
||||
from .reasoningsummaryverbosity import ReasoningSummaryVerbosity
|
||||
from openrouter.types import (
|
||||
BaseModel,
|
||||
Nullable,
|
||||
OptionalNullable,
|
||||
UNSET,
|
||||
UNSET_SENTINEL,
|
||||
)
|
||||
from openrouter.utils import validate_open_enum
|
||||
from pydantic import model_serializer
|
||||
from pydantic.functional_validators import PlainValidator
|
||||
from typing import Optional
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
|
||||
class OpenResponsesReasoningConfigTypedDict(TypedDict):
|
||||
r"""Configuration for reasoning mode in the response"""
|
||||
|
||||
effort: NotRequired[Nullable[OpenAIResponsesReasoningEffort]]
|
||||
summary: NotRequired[ReasoningSummaryVerbosity]
|
||||
max_tokens: NotRequired[Nullable[float]]
|
||||
enabled: NotRequired[Nullable[bool]]
|
||||
|
||||
|
||||
class OpenResponsesReasoningConfig(BaseModel):
|
||||
r"""Configuration for reasoning mode in the response"""
|
||||
|
||||
effort: Annotated[
|
||||
OptionalNullable[OpenAIResponsesReasoningEffort],
|
||||
PlainValidator(validate_open_enum(False)),
|
||||
] = UNSET
|
||||
|
||||
summary: Annotated[
|
||||
Optional[ReasoningSummaryVerbosity], PlainValidator(validate_open_enum(False))
|
||||
] = None
|
||||
|
||||
max_tokens: OptionalNullable[float] = UNSET
|
||||
|
||||
enabled: OptionalNullable[bool] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["effort", "summary", "max_tokens", "enabled"]
|
||||
nullable_fields = ["effort", "max_tokens", "enabled"]
|
||||
null_default_fields = []
|
||||
|
||||
serialized = handler(self)
|
||||
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k)
|
||||
serialized.pop(k, None)
|
||||
|
||||
optional_nullable = k in optional_fields and k in nullable_fields
|
||||
is_set = (
|
||||
self.__pydantic_fields_set__.intersection({n})
|
||||
or k in null_default_fields
|
||||
) # pylint: disable=no-member
|
||||
|
||||
if val is not None and val != UNSET_SENTINEL:
|
||||
m[k] = val
|
||||
elif val != UNSET_SENTINEL and (
|
||||
not k in optional_fields or (optional_nullable and is_set)
|
||||
):
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
@@ -1,36 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from typing import Literal
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
OpenResponsesReasoningDeltaEventType = Literal["response.reasoning_text.delta",]
|
||||
|
||||
|
||||
class OpenResponsesReasoningDeltaEventTypedDict(TypedDict):
|
||||
r"""Event emitted when reasoning text delta is streamed"""
|
||||
|
||||
type: OpenResponsesReasoningDeltaEventType
|
||||
output_index: float
|
||||
item_id: str
|
||||
content_index: float
|
||||
delta: str
|
||||
sequence_number: float
|
||||
|
||||
|
||||
class OpenResponsesReasoningDeltaEvent(BaseModel):
|
||||
r"""Event emitted when reasoning text delta is streamed"""
|
||||
|
||||
type: OpenResponsesReasoningDeltaEventType
|
||||
|
||||
output_index: float
|
||||
|
||||
item_id: str
|
||||
|
||||
content_index: float
|
||||
|
||||
delta: str
|
||||
|
||||
sequence_number: float
|
||||
@@ -1,36 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from typing import Literal
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
OpenResponsesReasoningDoneEventType = Literal["response.reasoning_text.done",]
|
||||
|
||||
|
||||
class OpenResponsesReasoningDoneEventTypedDict(TypedDict):
|
||||
r"""Event emitted when reasoning text streaming is complete"""
|
||||
|
||||
type: OpenResponsesReasoningDoneEventType
|
||||
output_index: float
|
||||
item_id: str
|
||||
content_index: float
|
||||
text: str
|
||||
sequence_number: float
|
||||
|
||||
|
||||
class OpenResponsesReasoningDoneEvent(BaseModel):
|
||||
r"""Event emitted when reasoning text streaming is complete"""
|
||||
|
||||
type: OpenResponsesReasoningDoneEventType
|
||||
|
||||
output_index: float
|
||||
|
||||
item_id: str
|
||||
|
||||
content_index: float
|
||||
|
||||
text: str
|
||||
|
||||
sequence_number: float
|
||||
@@ -1,39 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from .reasoningsummarytext import ReasoningSummaryText, ReasoningSummaryTextTypedDict
|
||||
from openrouter.types import BaseModel
|
||||
from typing import Literal
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
OpenResponsesReasoningSummaryPartAddedEventType = Literal[
|
||||
"response.reasoning_summary_part.added",
|
||||
]
|
||||
|
||||
|
||||
class OpenResponsesReasoningSummaryPartAddedEventTypedDict(TypedDict):
|
||||
r"""Event emitted when a reasoning summary part is added"""
|
||||
|
||||
type: OpenResponsesReasoningSummaryPartAddedEventType
|
||||
output_index: float
|
||||
item_id: str
|
||||
summary_index: float
|
||||
part: ReasoningSummaryTextTypedDict
|
||||
sequence_number: float
|
||||
|
||||
|
||||
class OpenResponsesReasoningSummaryPartAddedEvent(BaseModel):
|
||||
r"""Event emitted when a reasoning summary part is added"""
|
||||
|
||||
type: OpenResponsesReasoningSummaryPartAddedEventType
|
||||
|
||||
output_index: float
|
||||
|
||||
item_id: str
|
||||
|
||||
summary_index: float
|
||||
|
||||
part: ReasoningSummaryText
|
||||
|
||||
sequence_number: float
|
||||
@@ -1,38 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from typing import Literal
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
OpenResponsesReasoningSummaryTextDeltaEventType = Literal[
|
||||
"response.reasoning_summary_text.delta",
|
||||
]
|
||||
|
||||
|
||||
class OpenResponsesReasoningSummaryTextDeltaEventTypedDict(TypedDict):
|
||||
r"""Event emitted when reasoning summary text delta is streamed"""
|
||||
|
||||
type: OpenResponsesReasoningSummaryTextDeltaEventType
|
||||
item_id: str
|
||||
output_index: float
|
||||
summary_index: float
|
||||
delta: str
|
||||
sequence_number: float
|
||||
|
||||
|
||||
class OpenResponsesReasoningSummaryTextDeltaEvent(BaseModel):
|
||||
r"""Event emitted when reasoning summary text delta is streamed"""
|
||||
|
||||
type: OpenResponsesReasoningSummaryTextDeltaEventType
|
||||
|
||||
item_id: str
|
||||
|
||||
output_index: float
|
||||
|
||||
summary_index: float
|
||||
|
||||
delta: str
|
||||
|
||||
sequence_number: float
|
||||
@@ -1,38 +0,0 @@
|
||||
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
|
||||
|
||||
from __future__ import annotations
|
||||
from openrouter.types import BaseModel
|
||||
from typing import Literal
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
OpenResponsesReasoningSummaryTextDoneEventType = Literal[
|
||||
"response.reasoning_summary_text.done",
|
||||
]
|
||||
|
||||
|
||||
class OpenResponsesReasoningSummaryTextDoneEventTypedDict(TypedDict):
|
||||
r"""Event emitted when reasoning summary text streaming is complete"""
|
||||
|
||||
type: OpenResponsesReasoningSummaryTextDoneEventType
|
||||
item_id: str
|
||||
output_index: float
|
||||
summary_index: float
|
||||
text: str
|
||||
sequence_number: float
|
||||
|
||||
|
||||
class OpenResponsesReasoningSummaryTextDoneEvent(BaseModel):
|
||||
r"""Event emitted when reasoning summary text streaming is complete"""
|
||||
|
||||
type: OpenResponsesReasoningSummaryTextDoneEventType
|
||||
|
||||
item_id: str
|
||||
|
||||
output_index: float
|
||||
|
||||
summary_index: float
|
||||
|
||||
text: str
|
||||
|
||||
sequence_number: float
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user