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chore: 🐝 Update SDK - Generate 0.9.2 (#205)
Co-authored-by: speakeasybot <bot@speakeasyapi.dev> Co-authored-by: speakeasy-github[bot] <128539517+speakeasy-github[bot]@users.noreply.github.com>
This commit is contained in:
co-authored by
speakeasybot
speakeasy-github[bot] <128539517+speakeasy-github[bot]@users.noreply.github.com>
parent
0c735989c1
commit
0f116c9792
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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 .providerresponse import ProviderResponse, ProviderResponseTypedDict
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from openrouter.types import (
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BaseModel,
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Nullable,
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OptionalNullable,
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UNSET,
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UNSET_SENTINEL,
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UnrecognizedStr,
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)
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from openrouter.utils import validate_open_enum
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from pydantic import model_serializer
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from pydantic.functional_validators import PlainValidator
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from typing import List, Literal, Union
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from typing_extensions import Annotated, NotRequired, TypedDict
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APIType = Union[
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Literal[
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"completions",
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"embeddings",
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"rerank",
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"tts",
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"stt",
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"video",
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"image",
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],
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UnrecognizedStr,
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]
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r"""Type of API used for the generation"""
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DataRegion = Union[
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Literal[
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"global",
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"europe",
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],
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UnrecognizedStr,
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]
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r"""The data region this generation was routed through. 'europe' for EU-routed requests, 'global' otherwise."""
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class GenerationResponseDataTypedDict(TypedDict):
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r"""Generation data"""
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api_type: Nullable[APIType]
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r"""Type of API used for the generation"""
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app_id: Nullable[int]
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r"""ID of the app that made the request"""
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cache_discount: Nullable[float]
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r"""Discount applied due to caching"""
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cancelled: Nullable[bool]
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r"""Whether the generation was cancelled"""
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created_at: str
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r"""ISO 8601 timestamp of when the generation was created"""
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data_region: DataRegion
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r"""The data region this generation was routed through. 'europe' for EU-routed requests, 'global' otherwise."""
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external_user: Nullable[str]
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r"""External user identifier"""
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finish_reason: Nullable[str]
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r"""Reason the generation finished"""
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generation_time: Nullable[float]
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r"""Time taken for generation in milliseconds"""
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http_referer: Nullable[str]
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r"""Referer header from the request"""
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id: str
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r"""Unique identifier for the generation"""
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is_byok: bool
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r"""Whether this used bring-your-own-key"""
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latency: Nullable[float]
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r"""Total latency in milliseconds"""
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model: str
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r"""Model used for the generation"""
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moderation_latency: Nullable[float]
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r"""Moderation latency in milliseconds"""
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native_finish_reason: Nullable[str]
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r"""Native finish reason as reported by provider"""
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native_tokens_cached: Nullable[int]
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r"""Native cached tokens as reported by provider"""
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native_tokens_completion: Nullable[int]
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r"""Native completion tokens as reported by provider"""
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native_tokens_completion_images: Nullable[int]
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r"""Native completion image tokens as reported by provider"""
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native_tokens_prompt: Nullable[int]
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r"""Native prompt tokens as reported by provider"""
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native_tokens_reasoning: Nullable[int]
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r"""Native reasoning tokens as reported by provider"""
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num_fetches: Nullable[int]
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r"""Number of web fetches performed"""
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num_input_audio_prompt: Nullable[int]
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r"""Number of audio inputs in the prompt"""
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num_media_completion: Nullable[int]
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r"""Number of media items in the completion"""
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num_media_prompt: Nullable[int]
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r"""Number of media items in the prompt"""
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num_search_results: Nullable[int]
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r"""Number of search results included"""
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origin: str
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r"""Origin URL of the request"""
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preset_id: Nullable[str]
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r"""ID of the preset used for this generation, null if no preset was used"""
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provider_name: Nullable[str]
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r"""Name of the provider that served the request"""
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provider_responses: Nullable[List[ProviderResponseTypedDict]]
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r"""List of provider responses for this generation, including fallback attempts"""
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router: Nullable[str]
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r"""Router used for the request (e.g., openrouter/auto)"""
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service_tier: Nullable[str]
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r"""Service tier the upstream provider reported running this request on, or null if it did not report one."""
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streamed: Nullable[bool]
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r"""Whether the response was streamed"""
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tokens_completion: Nullable[int]
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r"""Number of tokens in the completion"""
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tokens_prompt: Nullable[int]
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r"""Number of tokens in the prompt"""
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total_cost: float
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r"""Total cost of the generation in USD"""
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upstream_id: Nullable[str]
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r"""Upstream provider's identifier for this generation"""
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upstream_inference_cost: Nullable[float]
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r"""Cost charged by the upstream provider"""
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usage: float
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r"""Usage amount in USD"""
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user_agent: Nullable[str]
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r"""User-Agent header from the request"""
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web_search_engine: Nullable[str]
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r"""The resolved web search engine used for this generation (e.g. exa, firecrawl, parallel)"""
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request_id: NotRequired[Nullable[str]]
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r"""Unique identifier grouping all generations from a single API request"""
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response_cache_source_id: NotRequired[Nullable[str]]
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r"""If this generation was served from response cache, contains the original generation ID. Null otherwise."""
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session_id: NotRequired[Nullable[str]]
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r"""Session identifier grouping multiple generations in the same session"""
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class GenerationResponseData(BaseModel):
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r"""Generation data"""
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api_type: Annotated[Nullable[APIType], PlainValidator(validate_open_enum(False))]
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r"""Type of API used for the generation"""
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app_id: Nullable[int]
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r"""ID of the app that made the request"""
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cache_discount: Nullable[float]
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r"""Discount applied due to caching"""
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cancelled: Nullable[bool]
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r"""Whether the generation was cancelled"""
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created_at: str
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r"""ISO 8601 timestamp of when the generation was created"""
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data_region: Annotated[DataRegion, PlainValidator(validate_open_enum(False))]
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r"""The data region this generation was routed through. 'europe' for EU-routed requests, 'global' otherwise."""
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external_user: Nullable[str]
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r"""External user identifier"""
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finish_reason: Nullable[str]
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r"""Reason the generation finished"""
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generation_time: Nullable[float]
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r"""Time taken for generation in milliseconds"""
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http_referer: Nullable[str]
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r"""Referer header from the request"""
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id: str
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r"""Unique identifier for the generation"""
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is_byok: bool
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r"""Whether this used bring-your-own-key"""
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latency: Nullable[float]
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r"""Total latency in milliseconds"""
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model: str
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r"""Model used for the generation"""
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moderation_latency: Nullable[float]
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r"""Moderation latency in milliseconds"""
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native_finish_reason: Nullable[str]
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r"""Native finish reason as reported by provider"""
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native_tokens_cached: Nullable[int]
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r"""Native cached tokens as reported by provider"""
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native_tokens_completion: Nullable[int]
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r"""Native completion tokens as reported by provider"""
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native_tokens_completion_images: Nullable[int]
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r"""Native completion image tokens as reported by provider"""
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native_tokens_prompt: Nullable[int]
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r"""Native prompt tokens as reported by provider"""
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native_tokens_reasoning: Nullable[int]
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r"""Native reasoning tokens as reported by provider"""
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num_fetches: Nullable[int]
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r"""Number of web fetches performed"""
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num_input_audio_prompt: Nullable[int]
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r"""Number of audio inputs in the prompt"""
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num_media_completion: Nullable[int]
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r"""Number of media items in the completion"""
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num_media_prompt: Nullable[int]
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r"""Number of media items in the prompt"""
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num_search_results: Nullable[int]
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r"""Number of search results included"""
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origin: str
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r"""Origin URL of the request"""
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preset_id: Nullable[str]
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r"""ID of the preset used for this generation, null if no preset was used"""
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provider_name: Nullable[str]
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r"""Name of the provider that served the request"""
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provider_responses: Nullable[List[ProviderResponse]]
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r"""List of provider responses for this generation, including fallback attempts"""
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router: Nullable[str]
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r"""Router used for the request (e.g., openrouter/auto)"""
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service_tier: Nullable[str]
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r"""Service tier the upstream provider reported running this request on, or null if it did not report one."""
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streamed: Nullable[bool]
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r"""Whether the response was streamed"""
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tokens_completion: Nullable[int]
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r"""Number of tokens in the completion"""
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tokens_prompt: Nullable[int]
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r"""Number of tokens in the prompt"""
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total_cost: float
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r"""Total cost of the generation in USD"""
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upstream_id: Nullable[str]
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r"""Upstream provider's identifier for this generation"""
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upstream_inference_cost: Nullable[float]
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r"""Cost charged by the upstream provider"""
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usage: float
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r"""Usage amount in USD"""
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user_agent: Nullable[str]
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r"""User-Agent header from the request"""
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web_search_engine: Nullable[str]
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r"""The resolved web search engine used for this generation (e.g. exa, firecrawl, parallel)"""
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request_id: OptionalNullable[str] = UNSET
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r"""Unique identifier grouping all generations from a single API request"""
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response_cache_source_id: OptionalNullable[str] = UNSET
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r"""If this generation was served from response cache, contains the original generation ID. Null otherwise."""
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session_id: OptionalNullable[str] = UNSET
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r"""Session identifier grouping multiple generations in the same session"""
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = ["request_id", "response_cache_source_id", "session_id"]
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nullable_fields = [
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"api_type",
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"app_id",
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"cache_discount",
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"cancelled",
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"external_user",
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"finish_reason",
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"generation_time",
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"http_referer",
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"latency",
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"moderation_latency",
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"native_finish_reason",
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"native_tokens_cached",
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"native_tokens_completion",
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"native_tokens_completion_images",
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"native_tokens_prompt",
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"native_tokens_reasoning",
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"num_fetches",
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"num_input_audio_prompt",
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"num_media_completion",
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"num_media_prompt",
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"num_search_results",
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"preset_id",
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"provider_name",
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"provider_responses",
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"request_id",
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"response_cache_source_id",
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"router",
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"service_tier",
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"session_id",
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"streamed",
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"tokens_completion",
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"tokens_prompt",
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"upstream_id",
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"upstream_inference_cost",
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"user_agent",
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"web_search_engine",
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]
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null_default_fields = []
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serialized = handler(self)
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m = {}
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for n, f in type(self).model_fields.items():
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k = f.alias or n
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val = serialized.get(k)
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serialized.pop(k, None)
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optional_nullable = k in optional_fields and k in nullable_fields
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is_set = (
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self.__pydantic_fields_set__.intersection({n})
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or k in null_default_fields
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) # pylint: disable=no-member
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if val is not None and val != UNSET_SENTINEL:
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m[k] = val
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elif val != UNSET_SENTINEL and (
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not k in optional_fields or (optional_nullable and is_set)
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):
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m[k] = val
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return m
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class GenerationResponseTypedDict(TypedDict):
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r"""Generation response"""
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data: GenerationResponseDataTypedDict
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r"""Generation data"""
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class GenerationResponse(BaseModel):
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r"""Generation response"""
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data: GenerationResponseData
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r"""Generation data"""
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