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fix: examples, enums and regenerate (#2)

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This commit is contained in:
David Alberto Adler
2025-09-07 21:50:22 +01:00
parent 0fc7236673
commit 2988b5e385
61 changed files with 2568 additions and 1093 deletions
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src/openrouter/_version.py
+3 -3
View File
@@ -3,10 +3,10 @@
import importlib.metadata
__title__: str = "openrouter"
__version__: str = "0.1.3"
__version__: str = "0.5.2"
__openapi_doc_version__: str = "1.0.0"
__gen_version__: str = "2.687.1"
__user_agent__: str = "speakeasy-sdk/python 0.1.3 2.687.1 1.0.0 openrouter"
__gen_version__: str = "2.694.1"
__user_agent__: str = "speakeasy-sdk/python 0.5.2 2.694.1 1.0.0 openrouter"
try:
if __package__ is not None:
src/openrouter/basesdk.py
+11 -1
View File
@@ -15,9 +15,19 @@ from urllib.parse import parse_qs, urlparse
class BaseSDK:
sdk_configuration: SDKConfiguration
parent_ref: Optional[object] = None
"""
Reference to the root SDK instance, if any. This will prevent it from
being garbage collected while there are active streams.
"""
def __init__(self, sdk_config: SDKConfiguration) -> None:
def __init__(
self,
sdk_config: SDKConfiguration,
parent_ref: Optional[object] = None,
) -> None:
self.sdk_configuration = sdk_config
self.parent_ref = parent_ref
def _get_url(self, base_url, url_variables):
sdk_url, sdk_variables = self.sdk_configuration.get_server_details()
src/openrouter/chat.py
+14 -12
View File
@@ -69,7 +69,7 @@ class Chat(BaseSDK):
] = None,
top_p: OptionalNullable[float] = 1,
user: Optional[str] = None,
models_llm: OptionalNullable[List[str]] = UNSET,
fallback_models: OptionalNullable[List[str]] = UNSET,
reasoning_effort: OptionalNullable[
models.ChatCompletionCreateParamsReasoningEffort
] = UNSET,
@@ -115,7 +115,7 @@ class Chat(BaseSDK):
:param tools: Available tools for function calling
:param top_p: Nucleus sampling parameter (0-1)
:param user: Unique user identifier
:param models_llm: Order of models to fallback to for this request
:param fallback_models: Order of models to fallback to for this request
:param reasoning_effort: Reasoning effort
:param provider: When multiple model providers are available, optionally indicate your routing preference.
:param plugins: Plugins you want to enable for this request, including their settings.
@@ -170,7 +170,7 @@ class Chat(BaseSDK):
),
top_p=top_p,
user=user,
models_llm=models_llm,
fallback_models=fallback_models,
reasoning_effort=reasoning_effort,
provider=utils.get_pydantic_model(
provider, OptionalNullable[models.ChatCompletionCreateParamsProvider]
@@ -305,7 +305,7 @@ class Chat(BaseSDK):
] = None,
top_p: OptionalNullable[float] = 1,
user: Optional[str] = None,
models_llm: OptionalNullable[List[str]] = UNSET,
fallback_models: OptionalNullable[List[str]] = UNSET,
reasoning_effort: OptionalNullable[
models.ChatCompletionCreateParamsReasoningEffort
] = UNSET,
@@ -351,7 +351,7 @@ class Chat(BaseSDK):
:param tools: Available tools for function calling
:param top_p: Nucleus sampling parameter (0-1)
:param user: Unique user identifier
:param models_llm: Order of models to fallback to for this request
:param fallback_models: Order of models to fallback to for this request
:param reasoning_effort: Reasoning effort
:param provider: When multiple model providers are available, optionally indicate your routing preference.
:param plugins: Plugins you want to enable for this request, including their settings.
@@ -406,7 +406,7 @@ class Chat(BaseSDK):
),
top_p=top_p,
user=user,
models_llm=models_llm,
fallback_models=fallback_models,
reasoning_effort=reasoning_effort,
provider=utils.get_pydantic_model(
provider, OptionalNullable[models.ChatCompletionCreateParamsProvider]
@@ -541,7 +541,7 @@ class Chat(BaseSDK):
] = None,
top_p: OptionalNullable[float] = 1,
user: Optional[str] = None,
models_llm: OptionalNullable[List[str]] = UNSET,
fallback_models: OptionalNullable[List[str]] = UNSET,
reasoning_effort: OptionalNullable[
models.ChatStreamCompletionCreateParamsReasoningEffort
] = UNSET,
@@ -587,7 +587,7 @@ class Chat(BaseSDK):
:param tools: Available tools for function calling
:param top_p: Nucleus sampling parameter (0-1)
:param user: Unique user identifier
:param models_llm: Order of models to fallback to for this request
:param fallback_models: Order of models to fallback to for this request
:param reasoning_effort: Reasoning effort
:param provider: When multiple model providers are available, optionally indicate your routing preference.
:param plugins: Plugins you want to enable for this request, including their settings.
@@ -643,7 +643,7 @@ class Chat(BaseSDK):
),
top_p=top_p,
user=user,
models_llm=models_llm,
fallback_models=fallback_models,
reasoning_effort=reasoning_effort,
provider=utils.get_pydantic_model(
provider,
@@ -706,6 +706,7 @@ class Chat(BaseSDK):
raw, models.StreamChatCompletionResponseBody
),
sentinel="[DONE]",
client_ref=self,
)
if utils.match_response(http_res, ["400", "401", "429"], "application/json"):
http_res_text = utils.stream_to_text(http_res)
@@ -792,7 +793,7 @@ class Chat(BaseSDK):
] = None,
top_p: OptionalNullable[float] = 1,
user: Optional[str] = None,
models_llm: OptionalNullable[List[str]] = UNSET,
fallback_models: OptionalNullable[List[str]] = UNSET,
reasoning_effort: OptionalNullable[
models.ChatStreamCompletionCreateParamsReasoningEffort
] = UNSET,
@@ -838,7 +839,7 @@ class Chat(BaseSDK):
:param tools: Available tools for function calling
:param top_p: Nucleus sampling parameter (0-1)
:param user: Unique user identifier
:param models_llm: Order of models to fallback to for this request
:param fallback_models: Order of models to fallback to for this request
:param reasoning_effort: Reasoning effort
:param provider: When multiple model providers are available, optionally indicate your routing preference.
:param plugins: Plugins you want to enable for this request, including their settings.
@@ -894,7 +895,7 @@ class Chat(BaseSDK):
),
top_p=top_p,
user=user,
models_llm=models_llm,
fallback_models=fallback_models,
reasoning_effort=reasoning_effort,
provider=utils.get_pydantic_model(
provider,
@@ -957,6 +958,7 @@ class Chat(BaseSDK):
raw, models.StreamChatCompletionResponseBody
),
sentinel="[DONE]",
client_ref=self,
)
if utils.match_response(http_res, ["400", "401", "429"], "application/json"):
http_res_text = await utils.stream_to_text_async(http_res)
src/openrouter/errors/__init__.py
+15 -3
View File
@@ -1,14 +1,15 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from .openroutererror import OpenRouterError
from typing import TYPE_CHECKING
from importlib import import_module
import builtins
import sys
if TYPE_CHECKING:
from .chatcompletionerror import ChatCompletionError, ChatCompletionErrorData
from .no_response_error import NoResponseError
from .openrouterdefaulterror import OpenRouterDefaultError
from .openroutererror import OpenRouterError
from .responsevalidationerror import ResponseValidationError
__all__ = [
@@ -25,11 +26,22 @@ _dynamic_imports: dict[str, str] = {
"ChatCompletionErrorData": ".chatcompletionerror",
"NoResponseError": ".no_response_error",
"OpenRouterDefaultError": ".openrouterdefaulterror",
"OpenRouterError": ".openroutererror",
"ResponseValidationError": ".responsevalidationerror",
}
def dynamic_import(modname, retries=3):
for attempt in range(retries):
try:
return import_module(modname, __package__)
except KeyError:
# Clear any half-initialized module and retry
sys.modules.pop(modname, None)
if attempt == retries - 1:
break
raise KeyError(f"Failed to import module '{modname}' after {retries} attempts")
def __getattr__(attr_name: str) -> object:
module_name = _dynamic_imports.get(attr_name)
if module_name is None:
@@ -38,7 +50,7 @@ def __getattr__(attr_name: str) -> object:
)
try:
module = import_module(module_name, __package__)
module = dynamic_import(module_name)
result = getattr(module, attr_name)
return result
except ImportError as e:
src/openrouter/models/__init__.py
+14 -1
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@@ -3,6 +3,7 @@
from typing import TYPE_CHECKING
from importlib import import_module
import builtins
import sys
if TYPE_CHECKING:
from .annotationdetail import AnnotationDetail, AnnotationDetailTypedDict
@@ -931,6 +932,18 @@ _dynamic_imports: dict[str, str] = {
}
def dynamic_import(modname, retries=3):
for attempt in range(retries):
try:
return import_module(modname, __package__)
except KeyError:
# Clear any half-initialized module and retry
sys.modules.pop(modname, None)
if attempt == retries - 1:
break
raise KeyError(f"Failed to import module '{modname}' after {retries} attempts")
def __getattr__(attr_name: str) -> object:
module_name = _dynamic_imports.get(attr_name)
if module_name is None:
@@ -939,7 +952,7 @@ def __getattr__(attr_name: str) -> object:
)
try:
module = import_module(module_name, __package__)
module = dynamic_import(module_name)
result = getattr(module, attr_name)
return result
except ImportError as e:
src/openrouter/models/chatcompletion.py
+2 -4
View File
@@ -3,7 +3,6 @@
from __future__ import annotations
from .chatcompletionchoice import ChatCompletionChoice, ChatCompletionChoiceTypedDict
from .completionusage import CompletionUsage, CompletionUsageTypedDict
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -12,12 +11,11 @@ from openrouter.types import (
UNSET_SENTINEL,
)
from pydantic import model_serializer
from typing import List, Optional
from typing import List, Literal, Optional
from typing_extensions import NotRequired, TypedDict
class ChatCompletionObject(str, Enum):
CHAT_COMPLETION = "chat.completion"
ChatCompletionObject = Literal["chat.completion"]
class ChatCompletionTypedDict(TypedDict):
src/openrouter/models/chatcompletionassistantmessageparam.py
+2 -5
View File
@@ -9,7 +9,6 @@ from .chatcompletionmessagetoolcall import (
ChatCompletionMessageToolCall,
ChatCompletionMessageToolCallTypedDict,
)
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -18,13 +17,11 @@ from openrouter.types import (
UNSET_SENTINEL,
)
from pydantic import model_serializer
from typing import Any, List, Optional, Union
from typing import Any, List, Literal, Optional, Union
from typing_extensions import NotRequired, TypeAliasType, TypedDict
class ChatCompletionAssistantMessageParamRole(str, Enum):
ASSISTANT = "assistant"
ChatCompletionAssistantMessageParamRole = Literal["assistant"]
ChatCompletionAssistantMessageParamContentTypedDict = TypeAliasType(
"ChatCompletionAssistantMessageParamContentTypedDict",
src/openrouter/models/chatcompletionchoice.py
+5 -9
View File
@@ -6,7 +6,6 @@ from .chatcompletiontokenlogprobs import (
ChatCompletionTokenLogprobs,
ChatCompletionTokenLogprobsTypedDict,
)
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -15,17 +14,14 @@ from openrouter.types import (
UNSET_SENTINEL,
)
from pydantic import model_serializer
from typing import Literal
from typing_extensions import NotRequired, TypedDict
class ChatCompletionChoiceFinishReason(str, Enum):
r"""Reason the completion finished"""
TOOL_CALLS = "tool_calls"
STOP = "stop"
LENGTH = "length"
CONTENT_FILTER = "content_filter"
ERROR = "error"
ChatCompletionChoiceFinishReason = Literal[
"tool_calls", "stop", "length", "content_filter", "error"
]
r"""Reason the completion finished"""
class ChatCompletionChoiceTypedDict(TypedDict):
src/openrouter/models/chatcompletionchunk.py
+2 -4
View File
@@ -6,7 +6,6 @@ from .chatcompletionchunkchoice import (
ChatCompletionChunkChoiceTypedDict,
)
from .completionusage import CompletionUsage, CompletionUsageTypedDict
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -15,12 +14,11 @@ from openrouter.types import (
UNSET_SENTINEL,
)
from pydantic import model_serializer
from typing import List, Optional
from typing import List, Literal, Optional
from typing_extensions import NotRequired, TypedDict
class ChatCompletionChunkObject(str, Enum):
CHAT_COMPLETION_CHUNK = "chat.completion.chunk"
ChatCompletionChunkObject = Literal["chat.completion.chunk"]
class ChatCompletionChunkTypedDict(TypedDict):
src/openrouter/models/chatcompletionchunkchoice.py
+4 -7
View File
@@ -9,7 +9,6 @@ from .chatcompletiontokenlogprobs import (
ChatCompletionTokenLogprobs,
ChatCompletionTokenLogprobsTypedDict,
)
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -18,15 +17,13 @@ from openrouter.types import (
UNSET_SENTINEL,
)
from pydantic import model_serializer
from typing import Literal
from typing_extensions import NotRequired, TypedDict
class ChatCompletionChunkChoiceFinishReason(str, Enum):
TOOL_CALLS = "tool_calls"
STOP = "stop"
LENGTH = "length"
CONTENT_FILTER = "content_filter"
ERROR = "error"
ChatCompletionChunkChoiceFinishReason = Literal[
"tool_calls", "stop", "length", "content_filter", "error"
]
class ChatCompletionChunkChoiceTypedDict(TypedDict):
src/openrouter/models/chatcompletionchunkchoicedelta.py
+3 -6
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@@ -7,7 +7,6 @@ from .chatcompletionchunkchoicedeltatoolcall import (
ChatCompletionChunkChoiceDeltaToolCallTypedDict,
)
from .reasoningdetail import ReasoningDetail, ReasoningDetailTypedDict
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -16,14 +15,12 @@ from openrouter.types import (
UNSET_SENTINEL,
)
from pydantic import model_serializer
from typing import List, Optional
from typing import List, Literal, Optional
from typing_extensions import NotRequired, TypedDict
class ChatCompletionChunkChoiceDeltaRole(str, Enum):
r"""The role of the message author"""
ASSISTANT = "assistant"
ChatCompletionChunkChoiceDeltaRole = Literal["assistant"]
r"""The role of the message author"""
class ChatCompletionChunkChoiceDeltaTypedDict(TypedDict):
src/openrouter/models/chatcompletionchunkchoicedeltatoolcall.py
+3 -6
View File
@@ -1,16 +1,13 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import BaseModel
from typing import Optional
from typing import Literal, Optional
from typing_extensions import NotRequired, TypedDict
class ChatCompletionChunkChoiceDeltaToolCallType(str, Enum):
r"""Tool call type"""
FUNCTION = "function"
ChatCompletionChunkChoiceDeltaToolCallType = Literal["function"]
r"""Tool call type"""
class ChatCompletionChunkChoiceDeltaToolCallFunctionTypedDict(TypedDict):
src/openrouter/models/chatcompletioncontentpartaudio.py
+6 -14
View File
@@ -1,26 +1,18 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import BaseModel
import pydantic
from typing import Literal
from typing_extensions import Annotated, TypedDict
class ChatCompletionContentPartAudioType(str, Enum):
INPUT_AUDIO = "input_audio"
ChatCompletionContentPartAudioType = Literal["input_audio"]
class ChatCompletionContentPartAudioFormat(str, Enum):
r"""Audio format"""
WAV = "wav"
MP3 = "mp3"
FLAC = "flac"
M4A = "m4a"
OGG = "ogg"
PCM16 = "pcm16"
PCM24 = "pcm24"
ChatCompletionContentPartAudioFormat = Literal[
"wav", "mp3", "flac", "m4a", "ogg", "pcm16", "pcm24"
]
r"""Audio format"""
class InputAudioTypedDict(TypedDict):
src/openrouter/models/chatcompletioncontentpartimage.py
+4 -11
View File
@@ -1,22 +1,15 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import BaseModel
from typing import Optional
from typing import Literal, Optional
from typing_extensions import NotRequired, TypedDict
class ChatCompletionContentPartImageType(str, Enum):
IMAGE_URL = "image_url"
ChatCompletionContentPartImageType = Literal["image_url"]
class Detail(str, Enum):
r"""Image detail level for vision models"""
AUTO = "auto"
LOW = "low"
HIGH = "high"
Detail = Literal["auto", "low", "high"]
r"""Image detail level for vision models"""
class ChatCompletionContentPartImageImageURLTypedDict(TypedDict):
src/openrouter/models/chatcompletioncontentparttext.py
+2 -3
View File
@@ -1,13 +1,12 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import BaseModel
from typing import Literal
from typing_extensions import TypedDict
class ChatCompletionContentPartTextType(str, Enum):
TEXT = "text"
ChatCompletionContentPartTextType = Literal["text"]
class ChatCompletionContentPartTextTypedDict(TypedDict):
src/openrouter/models/chatcompletioncreateparams.py
+270 -315
View File
@@ -14,7 +14,6 @@ from .responseformatjsonschemaschema import (
ResponseFormatJSONSchemaSchema,
ResponseFormatJSONSchemaSchemaTypedDict,
)
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -24,17 +23,12 @@ from openrouter.types import (
)
import pydantic
from pydantic import model_serializer
from typing import Any, Dict, List, Optional, Union
from typing import Any, Dict, List, Literal, Optional, Union
from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
class ChatCompletionCreateParamsEffort(str, Enum):
r"""OpenAI-style reasoning effort setting"""
HIGH = "high"
MEDIUM = "medium"
LOW = "low"
MINIMAL = "minimal"
ChatCompletionCreateParamsEffort = Literal["high", "medium", "low", "minimal"]
r"""OpenAI-style reasoning effort setting"""
class ChatCompletionCreateParamsReasoningTypedDict(TypedDict):
@@ -94,8 +88,7 @@ class ChatCompletionCreateParamsReasoning(BaseModel):
return m
class ChatCompletionCreateParamsTypePython(str, Enum):
PYTHON = "python"
ChatCompletionCreateParamsTypePython = Literal["python"]
class ChatCompletionCreateParamsResponseFormatPythonTypedDict(TypedDict):
@@ -110,8 +103,7 @@ class ChatCompletionCreateParamsResponseFormatPython(BaseModel):
type: ChatCompletionCreateParamsTypePython
class ChatCompletionCreateParamsTypeGrammar(str, Enum):
GRAMMAR = "grammar"
ChatCompletionCreateParamsTypeGrammar = Literal["grammar"]
class ChatCompletionCreateParamsResponseFormatGrammarTypedDict(TypedDict):
@@ -131,8 +123,7 @@ class ChatCompletionCreateParamsResponseFormatGrammar(BaseModel):
r"""Custom grammar for text generation"""
class ChatCompletionCreateParamsTypeJSONSchema(str, Enum):
JSON_SCHEMA = "json_schema"
ChatCompletionCreateParamsTypeJSONSchema = Literal["json_schema"]
class ChatCompletionCreateParamsJSONSchemaTypedDict(TypedDict):
@@ -207,8 +198,7 @@ class ChatCompletionCreateParamsResponseFormatJSONSchema(BaseModel):
json_schema: ChatCompletionCreateParamsJSONSchema
class ChatCompletionCreateParamsTypeJSONObject(str, Enum):
JSON_OBJECT = "json_object"
ChatCompletionCreateParamsTypeJSONObject = Literal["json_object"]
class ChatCompletionCreateParamsResponseFormatJSONObjectTypedDict(TypedDict):
@@ -223,8 +213,7 @@ class ChatCompletionCreateParamsResponseFormatJSONObject(BaseModel):
type: ChatCompletionCreateParamsTypeJSONObject
class ChatCompletionCreateParamsTypeText(str, Enum):
TEXT = "text"
ChatCompletionCreateParamsTypeText = Literal["text"]
class ChatCompletionCreateParamsResponseFormatTextTypedDict(TypedDict):
@@ -291,106 +280,96 @@ class ChatCompletionCreateParamsStreamOptions(BaseModel):
r"""Include usage information in streaming response"""
class ChatCompletionCreateParamsReasoningEffort(str, Enum):
r"""Reasoning effort"""
ChatCompletionCreateParamsReasoningEffort = Literal["high", "medium", "low", "minimal"]
r"""Reasoning effort"""
HIGH = "high"
MEDIUM = "medium"
LOW = "low"
MINIMAL = "minimal"
ChatCompletionCreateParamsDataCollection = Literal["deny", "allow"]
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.
"""
class ChatCompletionCreateParamsDataCollection(str, Enum):
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.
"""
DENY = "deny"
ALLOW = "allow"
class ChatCompletionCreateParamsOrderEnum(str, Enum):
ANY_SCALE = "AnyScale"
CENT_ML = "Cent-ML"
HUGGING_FACE = "HuggingFace"
HYPERBOLIC_2 = "Hyperbolic 2"
LEPTON = "Lepton"
LYNN_2 = "Lynn 2"
LYNN = "Lynn"
MANCER = "Mancer"
MODAL = "Modal"
OCTO_AI = "OctoAI"
RECURSAL = "Recursal"
REFLECTION = "Reflection"
REPLICATE = "Replicate"
SAMBA_NOVA_2 = "SambaNova 2"
SF_COMPUTE = "SF Compute"
TOGETHER_2 = "Together 2"
ONE_DOT_AI = "01.AI"
AI21 = "AI21"
AION_LABS = "AionLabs"
ALIBABA = "Alibaba"
AMAZON_BEDROCK = "Amazon Bedrock"
ANTHROPIC = "Anthropic"
ATLAS_CLOUD = "AtlasCloud"
ATOMA = "Atoma"
AVIAN = "Avian"
AZURE = "Azure"
BASE_TEN = "BaseTen"
CEREBRAS = "Cerebras"
CHUTES = "Chutes"
CLOUDFLARE = "Cloudflare"
COHERE = "Cohere"
CROF_AI = "CrofAI"
CRUSOE = "Crusoe"
DEEP_INFRA = "DeepInfra"
DEEP_SEEK = "DeepSeek"
ENFER = "Enfer"
FEATHERLESS = "Featherless"
FIREWORKS = "Fireworks"
FRIENDLI = "Friendli"
GMI_CLOUD = "GMICloud"
GOOGLE = "Google"
GOOGLE_AI_STUDIO = "Google AI Studio"
GROQ = "Groq"
HYPERBOLIC = "Hyperbolic"
INCEPTION = "Inception"
INFERENCE_NET = "InferenceNet"
INFERMATIC = "Infermatic"
INFLECTION = "Inflection"
INO_CLOUD = "InoCloud"
KLUSTER = "Kluster"
LAMBDA = "Lambda"
LIQUID = "Liquid"
MANCER_2 = "Mancer 2"
META = "Meta"
MINIMAX = "Minimax"
MISTRAL = "Mistral"
MOONSHOT_AI = "Moonshot AI"
MORPH = "Morph"
N_COMPASS = "NCompass"
NEBIUS = "Nebius"
NEXT_BIT = "NextBit"
NINETEEN = "Nineteen"
NOVITA = "Novita"
OPEN_AI = "OpenAI"
OPEN_INFERENCE = "OpenInference"
PARASAIL = "Parasail"
PERPLEXITY = "Perplexity"
PHALA = "Phala"
SAMBA_NOVA = "SambaNova"
STEALTH = "Stealth"
SWITCHPOINT = "Switchpoint"
TARGON = "Targon"
TOGETHER = "Together"
UBICLOUD = "Ubicloud"
VENICE = "Venice"
WAND_B = "WandB"
X_AI = "xAI"
Z_AI = "Z.AI"
ChatCompletionCreateParamsOrderEnum = Literal[
"AnyScale",
"Cent-ML",
"HuggingFace",
"Hyperbolic 2",
"Lepton",
"Lynn 2",
"Lynn",
"Mancer",
"Modal",
"OctoAI",
"Recursal",
"Reflection",
"Replicate",
"SambaNova 2",
"SF Compute",
"Together 2",
"01.AI",
"AI21",
"AionLabs",
"Alibaba",
"Amazon Bedrock",
"Anthropic",
"AtlasCloud",
"Atoma",
"Avian",
"Azure",
"BaseTen",
"Cerebras",
"Chutes",
"Cloudflare",
"Cohere",
"CrofAI",
"Crusoe",
"DeepInfra",
"DeepSeek",
"Enfer",
"Featherless",
"Fireworks",
"Friendli",
"GMICloud",
"Google",
"Google AI Studio",
"Groq",
"Hyperbolic",
"Inception",
"InferenceNet",
"Infermatic",
"Inflection",
"InoCloud",
"Kluster",
"Lambda",
"Liquid",
"Mancer 2",
"Meta",
"Minimax",
"Mistral",
"Moonshot AI",
"Morph",
"NCompass",
"Nebius",
"NextBit",
"Nineteen",
"Novita",
"OpenAI",
"OpenInference",
"Parasail",
"Perplexity",
"Phala",
"SambaNova",
"Stealth",
"Switchpoint",
"Targon",
"Together",
"Ubicloud",
"Venice",
"WandB",
"xAI",
"Z.AI",
]
ChatCompletionCreateParamsOrderUnionTypedDict = TypeAliasType(
"ChatCompletionCreateParamsOrderUnionTypedDict",
@@ -404,86 +383,86 @@ ChatCompletionCreateParamsOrderUnion = TypeAliasType(
)
class ChatCompletionCreateParamsOnlyEnum(str, Enum):
ANY_SCALE = "AnyScale"
CENT_ML = "Cent-ML"
HUGGING_FACE = "HuggingFace"
HYPERBOLIC_2 = "Hyperbolic 2"
LEPTON = "Lepton"
LYNN_2 = "Lynn 2"
LYNN = "Lynn"
MANCER = "Mancer"
MODAL = "Modal"
OCTO_AI = "OctoAI"
RECURSAL = "Recursal"
REFLECTION = "Reflection"
REPLICATE = "Replicate"
SAMBA_NOVA_2 = "SambaNova 2"
SF_COMPUTE = "SF Compute"
TOGETHER_2 = "Together 2"
ONE_DOT_AI = "01.AI"
AI21 = "AI21"
AION_LABS = "AionLabs"
ALIBABA = "Alibaba"
AMAZON_BEDROCK = "Amazon Bedrock"
ANTHROPIC = "Anthropic"
ATLAS_CLOUD = "AtlasCloud"
ATOMA = "Atoma"
AVIAN = "Avian"
AZURE = "Azure"
BASE_TEN = "BaseTen"
CEREBRAS = "Cerebras"
CHUTES = "Chutes"
CLOUDFLARE = "Cloudflare"
COHERE = "Cohere"
CROF_AI = "CrofAI"
CRUSOE = "Crusoe"
DEEP_INFRA = "DeepInfra"
DEEP_SEEK = "DeepSeek"
ENFER = "Enfer"
FEATHERLESS = "Featherless"
FIREWORKS = "Fireworks"
FRIENDLI = "Friendli"
GMI_CLOUD = "GMICloud"
GOOGLE = "Google"
GOOGLE_AI_STUDIO = "Google AI Studio"
GROQ = "Groq"
HYPERBOLIC = "Hyperbolic"
INCEPTION = "Inception"
INFERENCE_NET = "InferenceNet"
INFERMATIC = "Infermatic"
INFLECTION = "Inflection"
INO_CLOUD = "InoCloud"
KLUSTER = "Kluster"
LAMBDA = "Lambda"
LIQUID = "Liquid"
MANCER_2 = "Mancer 2"
META = "Meta"
MINIMAX = "Minimax"
MISTRAL = "Mistral"
MOONSHOT_AI = "Moonshot AI"
MORPH = "Morph"
N_COMPASS = "NCompass"
NEBIUS = "Nebius"
NEXT_BIT = "NextBit"
NINETEEN = "Nineteen"
NOVITA = "Novita"
OPEN_AI = "OpenAI"
OPEN_INFERENCE = "OpenInference"
PARASAIL = "Parasail"
PERPLEXITY = "Perplexity"
PHALA = "Phala"
SAMBA_NOVA = "SambaNova"
STEALTH = "Stealth"
SWITCHPOINT = "Switchpoint"
TARGON = "Targon"
TOGETHER = "Together"
UBICLOUD = "Ubicloud"
VENICE = "Venice"
WAND_B = "WandB"
X_AI = "xAI"
Z_AI = "Z.AI"
ChatCompletionCreateParamsOnlyEnum = Literal[
"AnyScale",
"Cent-ML",
"HuggingFace",
"Hyperbolic 2",
"Lepton",
"Lynn 2",
"Lynn",
"Mancer",
"Modal",
"OctoAI",
"Recursal",
"Reflection",
"Replicate",
"SambaNova 2",
"SF Compute",
"Together 2",
"01.AI",
"AI21",
"AionLabs",
"Alibaba",
"Amazon Bedrock",
"Anthropic",
"AtlasCloud",
"Atoma",
"Avian",
"Azure",
"BaseTen",
"Cerebras",
"Chutes",
"Cloudflare",
"Cohere",
"CrofAI",
"Crusoe",
"DeepInfra",
"DeepSeek",
"Enfer",
"Featherless",
"Fireworks",
"Friendli",
"GMICloud",
"Google",
"Google AI Studio",
"Groq",
"Hyperbolic",
"Inception",
"InferenceNet",
"Infermatic",
"Inflection",
"InoCloud",
"Kluster",
"Lambda",
"Liquid",
"Mancer 2",
"Meta",
"Minimax",
"Mistral",
"Moonshot AI",
"Morph",
"NCompass",
"Nebius",
"NextBit",
"Nineteen",
"Novita",
"OpenAI",
"OpenInference",
"Parasail",
"Perplexity",
"Phala",
"SambaNova",
"Stealth",
"Switchpoint",
"Targon",
"Together",
"Ubicloud",
"Venice",
"WandB",
"xAI",
"Z.AI",
]
ChatCompletionCreateParamsOnlyUnionTypedDict = TypeAliasType(
"ChatCompletionCreateParamsOnlyUnionTypedDict",
@@ -497,86 +476,86 @@ ChatCompletionCreateParamsOnlyUnion = TypeAliasType(
)
class ChatCompletionCreateParamsIgnoreEnum(str, Enum):
ANY_SCALE = "AnyScale"
CENT_ML = "Cent-ML"
HUGGING_FACE = "HuggingFace"
HYPERBOLIC_2 = "Hyperbolic 2"
LEPTON = "Lepton"
LYNN_2 = "Lynn 2"
LYNN = "Lynn"
MANCER = "Mancer"
MODAL = "Modal"
OCTO_AI = "OctoAI"
RECURSAL = "Recursal"
REFLECTION = "Reflection"
REPLICATE = "Replicate"
SAMBA_NOVA_2 = "SambaNova 2"
SF_COMPUTE = "SF Compute"
TOGETHER_2 = "Together 2"
ONE_DOT_AI = "01.AI"
AI21 = "AI21"
AION_LABS = "AionLabs"
ALIBABA = "Alibaba"
AMAZON_BEDROCK = "Amazon Bedrock"
ANTHROPIC = "Anthropic"
ATLAS_CLOUD = "AtlasCloud"
ATOMA = "Atoma"
AVIAN = "Avian"
AZURE = "Azure"
BASE_TEN = "BaseTen"
CEREBRAS = "Cerebras"
CHUTES = "Chutes"
CLOUDFLARE = "Cloudflare"
COHERE = "Cohere"
CROF_AI = "CrofAI"
CRUSOE = "Crusoe"
DEEP_INFRA = "DeepInfra"
DEEP_SEEK = "DeepSeek"
ENFER = "Enfer"
FEATHERLESS = "Featherless"
FIREWORKS = "Fireworks"
FRIENDLI = "Friendli"
GMI_CLOUD = "GMICloud"
GOOGLE = "Google"
GOOGLE_AI_STUDIO = "Google AI Studio"
GROQ = "Groq"
HYPERBOLIC = "Hyperbolic"
INCEPTION = "Inception"
INFERENCE_NET = "InferenceNet"
INFERMATIC = "Infermatic"
INFLECTION = "Inflection"
INO_CLOUD = "InoCloud"
KLUSTER = "Kluster"
LAMBDA = "Lambda"
LIQUID = "Liquid"
MANCER_2 = "Mancer 2"
META = "Meta"
MINIMAX = "Minimax"
MISTRAL = "Mistral"
MOONSHOT_AI = "Moonshot AI"
MORPH = "Morph"
N_COMPASS = "NCompass"
NEBIUS = "Nebius"
NEXT_BIT = "NextBit"
NINETEEN = "Nineteen"
NOVITA = "Novita"
OPEN_AI = "OpenAI"
OPEN_INFERENCE = "OpenInference"
PARASAIL = "Parasail"
PERPLEXITY = "Perplexity"
PHALA = "Phala"
SAMBA_NOVA = "SambaNova"
STEALTH = "Stealth"
SWITCHPOINT = "Switchpoint"
TARGON = "Targon"
TOGETHER = "Together"
UBICLOUD = "Ubicloud"
VENICE = "Venice"
WAND_B = "WandB"
X_AI = "xAI"
Z_AI = "Z.AI"
ChatCompletionCreateParamsIgnoreEnum = Literal[
"AnyScale",
"Cent-ML",
"HuggingFace",
"Hyperbolic 2",
"Lepton",
"Lynn 2",
"Lynn",
"Mancer",
"Modal",
"OctoAI",
"Recursal",
"Reflection",
"Replicate",
"SambaNova 2",
"SF Compute",
"Together 2",
"01.AI",
"AI21",
"AionLabs",
"Alibaba",
"Amazon Bedrock",
"Anthropic",
"AtlasCloud",
"Atoma",
"Avian",
"Azure",
"BaseTen",
"Cerebras",
"Chutes",
"Cloudflare",
"Cohere",
"CrofAI",
"Crusoe",
"DeepInfra",
"DeepSeek",
"Enfer",
"Featherless",
"Fireworks",
"Friendli",
"GMICloud",
"Google",
"Google AI Studio",
"Groq",
"Hyperbolic",
"Inception",
"InferenceNet",
"Infermatic",
"Inflection",
"InoCloud",
"Kluster",
"Lambda",
"Liquid",
"Mancer 2",
"Meta",
"Minimax",
"Mistral",
"Moonshot AI",
"Morph",
"NCompass",
"Nebius",
"NextBit",
"Nineteen",
"Novita",
"OpenAI",
"OpenInference",
"Parasail",
"Perplexity",
"Phala",
"SambaNova",
"Stealth",
"Switchpoint",
"Targon",
"Together",
"Ubicloud",
"Venice",
"WandB",
"xAI",
"Z.AI",
]
ChatCompletionCreateParamsIgnoreUnionTypedDict = TypeAliasType(
"ChatCompletionCreateParamsIgnoreUnionTypedDict",
@@ -590,25 +569,12 @@ ChatCompletionCreateParamsIgnoreUnion = TypeAliasType(
)
class ChatCompletionCreateParamsQuantization(str, Enum):
INT4 = "int4"
INT8 = "int8"
FP4 = "fp4"
FP6 = "fp6"
FP8 = "fp8"
FP16 = "fp16"
BF16 = "bf16"
FP32 = "fp32"
UNKNOWN = "unknown"
class ChatCompletionCreateParamsSort(str, Enum):
r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
PRICE = "price"
THROUGHPUT = "throughput"
LATENCY = "latency"
ChatCompletionCreateParamsQuantization = Literal[
"int4", "int8", "fp4", "fp6", "fp8", "fp16", "bf16", "fp32", "unknown"
]
ChatCompletionCreateParamsSort = Literal["price", "throughput", "latency"]
r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
ChatCompletionCreateParamsPromptTypedDict = TypeAliasType(
"ChatCompletionCreateParamsPromptTypedDict", Union[float, str, Any]
@@ -805,14 +771,9 @@ class ChatCompletionCreateParamsProvider(BaseModel):
return m
class ChatCompletionCreateParamsIDFileParser(str, Enum):
FILE_PARSER = "file-parser"
ChatCompletionCreateParamsIDFileParser = Literal["file-parser"]
class ChatCompletionCreateParamsPdfEngine(str, Enum):
MISTRAL_OCR = "mistral-ocr"
PDF_TEXT = "pdf-text"
NATIVE = "native"
ChatCompletionCreateParamsPdfEngine = Literal["mistral-ocr", "pdf-text", "native"]
class ChatCompletionCreateParamsPdfTypedDict(TypedDict):
@@ -837,8 +798,7 @@ class ChatCompletionCreateParamsPluginFileParser(BaseModel):
pdf: Optional[ChatCompletionCreateParamsPdf] = None
class ChatCompletionCreateParamsIDChainOfThought(str, Enum):
CHAIN_OF_THOUGHT = "chain-of-thought"
ChatCompletionCreateParamsIDChainOfThought = Literal["chain-of-thought"]
class ChatCompletionCreateParamsPluginChainOfThoughtTypedDict(TypedDict):
@@ -849,13 +809,9 @@ class ChatCompletionCreateParamsPluginChainOfThought(BaseModel):
id: ChatCompletionCreateParamsIDChainOfThought
class ChatCompletionCreateParamsIDWeb(str, Enum):
WEB = "web"
ChatCompletionCreateParamsIDWeb = Literal["web"]
class ChatCompletionCreateParamsEngine(str, Enum):
NATIVE = "native"
EXA = "exa"
ChatCompletionCreateParamsEngine = Literal["native", "exa"]
class ChatCompletionCreateParamsPluginWebTypedDict(TypedDict):
@@ -875,8 +831,7 @@ class ChatCompletionCreateParamsPluginWeb(BaseModel):
engine: Optional[ChatCompletionCreateParamsEngine] = None
class ChatCompletionCreateParamsIDModeration(str, Enum):
MODERATION = "moderation"
ChatCompletionCreateParamsIDModeration = Literal["moderation"]
class ChatCompletionCreateParamsPluginModerationTypedDict(TypedDict):
@@ -955,7 +910,7 @@ class ChatCompletionCreateParamsTypedDict(TypedDict):
r"""Nucleus sampling parameter (0-1)"""
user: NotRequired[str]
r"""Unique user identifier"""
models_llm: NotRequired[Nullable[List[str]]]
fallback_models: NotRequired[Nullable[List[str]]]
r"""Order of models to fallback to for this request"""
reasoning_effort: NotRequired[Nullable[ChatCompletionCreateParamsReasoningEffort]]
r"""Reasoning effort"""
@@ -1030,7 +985,7 @@ class ChatCompletionCreateParams(BaseModel):
user: Optional[str] = None
r"""Unique user identifier"""
models_llm: Annotated[
fallback_models: Annotated[
OptionalNullable[List[str]], pydantic.Field(alias="models")
] = UNSET
r"""Order of models to fallback to for this request"""
@@ -1069,7 +1024,7 @@ class ChatCompletionCreateParams(BaseModel):
"tools",
"top_p",
"user",
"models_llm",
"fallback_models",
"reasoning_effort",
"provider",
"plugins",
@@ -1089,7 +1044,7 @@ class ChatCompletionCreateParams(BaseModel):
"stream_options",
"temperature",
"top_p",
"models_llm",
"fallback_models",
"reasoning_effort",
"provider",
]
src/openrouter/models/chatcompletionerror.py
+16 -9
View File
@@ -1,34 +1,41 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from openrouter.types import BaseModel, Nullable, UNSET_SENTINEL
from openrouter.types import (
BaseModel,
Nullable,
OptionalNullable,
UNSET,
UNSET_SENTINEL,
)
from pydantic import model_serializer
from typing_extensions import TypedDict
from typing import Optional
from typing_extensions import NotRequired, TypedDict
class ErrorTypedDict(TypedDict):
r"""Error object structure"""
code: Nullable[str]
code: Nullable[float]
message: str
param: Nullable[str]
type: str
param: NotRequired[Nullable[str]]
type: NotRequired[str]
class Error(BaseModel):
r"""Error object structure"""
code: Nullable[str]
code: Nullable[float]
message: str
param: Nullable[str]
param: OptionalNullable[str] = UNSET
type: str
type: Optional[str] = None
@model_serializer(mode="wrap")
def serialize_model(self, handler):
optional_fields = []
optional_fields = ["param", "type"]
nullable_fields = ["code", "param"]
null_default_fields = []
src/openrouter/models/chatcompletionmessage.py
+2 -4
View File
@@ -7,7 +7,6 @@ from .chatcompletionmessagetoolcall import (
ChatCompletionMessageToolCallTypedDict,
)
from .reasoningdetail import ReasoningDetail, ReasoningDetailTypedDict
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -16,12 +15,11 @@ from openrouter.types import (
UNSET_SENTINEL,
)
from pydantic import model_serializer
from typing import List, Optional
from typing import List, Literal, Optional
from typing_extensions import NotRequired, TypedDict
class ChatCompletionMessageRole(str, Enum):
ASSISTANT = "assistant"
ChatCompletionMessageRole = Literal["assistant"]
class ChatCompletionMessageTypedDict(TypedDict):
src/openrouter/models/chatcompletionmessagetoolcall.py
+2 -3
View File
@@ -1,13 +1,12 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import BaseModel
from typing import Literal
from typing_extensions import TypedDict
class ChatCompletionMessageToolCallType(str, Enum):
FUNCTION = "function"
ChatCompletionMessageToolCallType = Literal["function"]
class ChatCompletionMessageToolCallFunctionTypedDict(TypedDict):
src/openrouter/models/chatcompletionnamedtoolchoice.py
+2 -3
View File
@@ -1,13 +1,12 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import BaseModel
from typing import Literal
from typing_extensions import TypedDict
class ChatCompletionNamedToolChoiceType(str, Enum):
FUNCTION = "function"
ChatCompletionNamedToolChoiceType = Literal["function"]
class ChatCompletionNamedToolChoiceFunctionTypedDict(TypedDict):
src/openrouter/models/chatcompletionsystemmessageparam.py
+2 -5
View File
@@ -5,15 +5,12 @@ from .chatcompletioncontentparttext import (
ChatCompletionContentPartText,
ChatCompletionContentPartTextTypedDict,
)
from enum import Enum
from openrouter.types import BaseModel
from typing import List, Optional, Union
from typing import List, Literal, Optional, Union
from typing_extensions import NotRequired, TypeAliasType, TypedDict
class ChatCompletionSystemMessageParamRole(str, Enum):
SYSTEM = "system"
ChatCompletionSystemMessageParamRole = Literal["system"]
ChatCompletionSystemMessageParamContentTypedDict = TypeAliasType(
"ChatCompletionSystemMessageParamContentTypedDict",
src/openrouter/models/chatcompletiontool.py
+2 -4
View File
@@ -1,7 +1,6 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -10,12 +9,11 @@ from openrouter.types import (
UNSET_SENTINEL,
)
from pydantic import model_serializer
from typing import Optional
from typing import Literal, Optional
from typing_extensions import NotRequired, TypedDict
class ChatCompletionToolType(str, Enum):
FUNCTION = "function"
ChatCompletionToolType = Literal["function"]
class ParametersTypedDict(TypedDict):
src/openrouter/models/chatcompletiontoolchoiceoption.py
+4 -11
View File
@@ -5,22 +5,15 @@ from .chatcompletionnamedtoolchoice import (
ChatCompletionNamedToolChoice,
ChatCompletionNamedToolChoiceTypedDict,
)
from enum import Enum
from typing import Union
from typing import Literal, Union
from typing_extensions import TypeAliasType
class ChatCompletionToolChoiceOptionRequired(str, Enum):
REQUIRED = "required"
ChatCompletionToolChoiceOptionRequired = Literal["required"]
ChatCompletionToolChoiceOptionAuto = Literal["auto"]
class ChatCompletionToolChoiceOptionAuto(str, Enum):
AUTO = "auto"
class ChatCompletionToolChoiceOptionNone(str, Enum):
NONE = "none"
ChatCompletionToolChoiceOptionNone = Literal["none"]
ChatCompletionToolChoiceOptionTypedDict = TypeAliasType(
"ChatCompletionToolChoiceOptionTypedDict",
src/openrouter/models/chatcompletiontoolmessageparam.py
+2 -5
View File
@@ -5,15 +5,12 @@ from .chatcompletioncontentpart import (
ChatCompletionContentPart,
ChatCompletionContentPartTypedDict,
)
from enum import Enum
from openrouter.types import BaseModel
from typing import List, Union
from typing import List, Literal, Union
from typing_extensions import TypeAliasType, TypedDict
class ChatCompletionToolMessageParamRole(str, Enum):
TOOL = "tool"
ChatCompletionToolMessageParamRole = Literal["tool"]
ChatCompletionToolMessageParamContentTypedDict = TypeAliasType(
"ChatCompletionToolMessageParamContentTypedDict",
src/openrouter/models/chatcompletionusermessageparam.py
+2 -5
View File
@@ -5,15 +5,12 @@ from .chatcompletioncontentpart import (
ChatCompletionContentPart,
ChatCompletionContentPartTypedDict,
)
from enum import Enum
from openrouter.types import BaseModel
from typing import List, Optional, Union
from typing import List, Literal, Optional, Union
from typing_extensions import NotRequired, TypeAliasType, TypedDict
class ChatCompletionUserMessageParamRole(str, Enum):
USER = "user"
ChatCompletionUserMessageParamRole = Literal["user"]
ChatCompletionUserMessageParamContentTypedDict = TypeAliasType(
"ChatCompletionUserMessageParamContentTypedDict",
src/openrouter/models/chatstreamcompletioncreateparams.py
+272 -315
View File
@@ -14,7 +14,6 @@ from .responseformatjsonschemaschema import (
ResponseFormatJSONSchemaSchema,
ResponseFormatJSONSchemaSchemaTypedDict,
)
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -24,17 +23,12 @@ from openrouter.types import (
)
import pydantic
from pydantic import model_serializer
from typing import Any, Dict, List, Optional, Union
from typing import Any, Dict, List, Literal, Optional, Union
from typing_extensions import Annotated, NotRequired, TypeAliasType, TypedDict
class ChatStreamCompletionCreateParamsEffort(str, Enum):
r"""OpenAI-style reasoning effort setting"""
HIGH = "high"
MEDIUM = "medium"
LOW = "low"
MINIMAL = "minimal"
ChatStreamCompletionCreateParamsEffort = Literal["high", "medium", "low", "minimal"]
r"""OpenAI-style reasoning effort setting"""
class ChatStreamCompletionCreateParamsReasoningTypedDict(TypedDict):
@@ -94,8 +88,7 @@ class ChatStreamCompletionCreateParamsReasoning(BaseModel):
return m
class ChatStreamCompletionCreateParamsTypePython(str, Enum):
PYTHON = "python"
ChatStreamCompletionCreateParamsTypePython = Literal["python"]
class ChatStreamCompletionCreateParamsResponseFormatPythonTypedDict(TypedDict):
@@ -110,8 +103,7 @@ class ChatStreamCompletionCreateParamsResponseFormatPython(BaseModel):
type: ChatStreamCompletionCreateParamsTypePython
class ChatStreamCompletionCreateParamsTypeGrammar(str, Enum):
GRAMMAR = "grammar"
ChatStreamCompletionCreateParamsTypeGrammar = Literal["grammar"]
class ChatStreamCompletionCreateParamsResponseFormatGrammarTypedDict(TypedDict):
@@ -131,8 +123,7 @@ class ChatStreamCompletionCreateParamsResponseFormatGrammar(BaseModel):
r"""Custom grammar for text generation"""
class ChatStreamCompletionCreateParamsTypeJSONSchema(str, Enum):
JSON_SCHEMA = "json_schema"
ChatStreamCompletionCreateParamsTypeJSONSchema = Literal["json_schema"]
class ChatStreamCompletionCreateParamsJSONSchemaTypedDict(TypedDict):
@@ -207,8 +198,7 @@ class ChatStreamCompletionCreateParamsResponseFormatJSONSchema(BaseModel):
json_schema: ChatStreamCompletionCreateParamsJSONSchema
class ChatStreamCompletionCreateParamsTypeJSONObject(str, Enum):
JSON_OBJECT = "json_object"
ChatStreamCompletionCreateParamsTypeJSONObject = Literal["json_object"]
class ChatStreamCompletionCreateParamsResponseFormatJSONObjectTypedDict(TypedDict):
@@ -223,8 +213,7 @@ class ChatStreamCompletionCreateParamsResponseFormatJSONObject(BaseModel):
type: ChatStreamCompletionCreateParamsTypeJSONObject
class ChatStreamCompletionCreateParamsTypeText(str, Enum):
TEXT = "text"
ChatStreamCompletionCreateParamsTypeText = Literal["text"]
class ChatStreamCompletionCreateParamsResponseFormatTextTypedDict(TypedDict):
@@ -291,106 +280,98 @@ class ChatStreamCompletionCreateParamsStreamOptions(BaseModel):
r"""Include usage information in streaming response"""
class ChatStreamCompletionCreateParamsReasoningEffort(str, Enum):
r"""Reasoning effort"""
ChatStreamCompletionCreateParamsReasoningEffort = Literal[
"high", "medium", "low", "minimal"
]
r"""Reasoning effort"""
HIGH = "high"
MEDIUM = "medium"
LOW = "low"
MINIMAL = "minimal"
ChatStreamCompletionCreateParamsDataCollection = Literal["deny", "allow"]
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.
"""
class ChatStreamCompletionCreateParamsDataCollection(str, Enum):
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.
"""
DENY = "deny"
ALLOW = "allow"
class ChatStreamCompletionCreateParamsOrderEnum(str, Enum):
ANY_SCALE = "AnyScale"
CENT_ML = "Cent-ML"
HUGGING_FACE = "HuggingFace"
HYPERBOLIC_2 = "Hyperbolic 2"
LEPTON = "Lepton"
LYNN_2 = "Lynn 2"
LYNN = "Lynn"
MANCER = "Mancer"
MODAL = "Modal"
OCTO_AI = "OctoAI"
RECURSAL = "Recursal"
REFLECTION = "Reflection"
REPLICATE = "Replicate"
SAMBA_NOVA_2 = "SambaNova 2"
SF_COMPUTE = "SF Compute"
TOGETHER_2 = "Together 2"
ONE_DOT_AI = "01.AI"
AI21 = "AI21"
AION_LABS = "AionLabs"
ALIBABA = "Alibaba"
AMAZON_BEDROCK = "Amazon Bedrock"
ANTHROPIC = "Anthropic"
ATLAS_CLOUD = "AtlasCloud"
ATOMA = "Atoma"
AVIAN = "Avian"
AZURE = "Azure"
BASE_TEN = "BaseTen"
CEREBRAS = "Cerebras"
CHUTES = "Chutes"
CLOUDFLARE = "Cloudflare"
COHERE = "Cohere"
CROF_AI = "CrofAI"
CRUSOE = "Crusoe"
DEEP_INFRA = "DeepInfra"
DEEP_SEEK = "DeepSeek"
ENFER = "Enfer"
FEATHERLESS = "Featherless"
FIREWORKS = "Fireworks"
FRIENDLI = "Friendli"
GMI_CLOUD = "GMICloud"
GOOGLE = "Google"
GOOGLE_AI_STUDIO = "Google AI Studio"
GROQ = "Groq"
HYPERBOLIC = "Hyperbolic"
INCEPTION = "Inception"
INFERENCE_NET = "InferenceNet"
INFERMATIC = "Infermatic"
INFLECTION = "Inflection"
INO_CLOUD = "InoCloud"
KLUSTER = "Kluster"
LAMBDA = "Lambda"
LIQUID = "Liquid"
MANCER_2 = "Mancer 2"
META = "Meta"
MINIMAX = "Minimax"
MISTRAL = "Mistral"
MOONSHOT_AI = "Moonshot AI"
MORPH = "Morph"
N_COMPASS = "NCompass"
NEBIUS = "Nebius"
NEXT_BIT = "NextBit"
NINETEEN = "Nineteen"
NOVITA = "Novita"
OPEN_AI = "OpenAI"
OPEN_INFERENCE = "OpenInference"
PARASAIL = "Parasail"
PERPLEXITY = "Perplexity"
PHALA = "Phala"
SAMBA_NOVA = "SambaNova"
STEALTH = "Stealth"
SWITCHPOINT = "Switchpoint"
TARGON = "Targon"
TOGETHER = "Together"
UBICLOUD = "Ubicloud"
VENICE = "Venice"
WAND_B = "WandB"
X_AI = "xAI"
Z_AI = "Z.AI"
ChatStreamCompletionCreateParamsOrderEnum = Literal[
"AnyScale",
"Cent-ML",
"HuggingFace",
"Hyperbolic 2",
"Lepton",
"Lynn 2",
"Lynn",
"Mancer",
"Modal",
"OctoAI",
"Recursal",
"Reflection",
"Replicate",
"SambaNova 2",
"SF Compute",
"Together 2",
"01.AI",
"AI21",
"AionLabs",
"Alibaba",
"Amazon Bedrock",
"Anthropic",
"AtlasCloud",
"Atoma",
"Avian",
"Azure",
"BaseTen",
"Cerebras",
"Chutes",
"Cloudflare",
"Cohere",
"CrofAI",
"Crusoe",
"DeepInfra",
"DeepSeek",
"Enfer",
"Featherless",
"Fireworks",
"Friendli",
"GMICloud",
"Google",
"Google AI Studio",
"Groq",
"Hyperbolic",
"Inception",
"InferenceNet",
"Infermatic",
"Inflection",
"InoCloud",
"Kluster",
"Lambda",
"Liquid",
"Mancer 2",
"Meta",
"Minimax",
"Mistral",
"Moonshot AI",
"Morph",
"NCompass",
"Nebius",
"NextBit",
"Nineteen",
"Novita",
"OpenAI",
"OpenInference",
"Parasail",
"Perplexity",
"Phala",
"SambaNova",
"Stealth",
"Switchpoint",
"Targon",
"Together",
"Ubicloud",
"Venice",
"WandB",
"xAI",
"Z.AI",
]
ChatStreamCompletionCreateParamsOrderUnionTypedDict = TypeAliasType(
"ChatStreamCompletionCreateParamsOrderUnionTypedDict",
@@ -404,86 +385,86 @@ ChatStreamCompletionCreateParamsOrderUnion = TypeAliasType(
)
class ChatStreamCompletionCreateParamsOnlyEnum(str, Enum):
ANY_SCALE = "AnyScale"
CENT_ML = "Cent-ML"
HUGGING_FACE = "HuggingFace"
HYPERBOLIC_2 = "Hyperbolic 2"
LEPTON = "Lepton"
LYNN_2 = "Lynn 2"
LYNN = "Lynn"
MANCER = "Mancer"
MODAL = "Modal"
OCTO_AI = "OctoAI"
RECURSAL = "Recursal"
REFLECTION = "Reflection"
REPLICATE = "Replicate"
SAMBA_NOVA_2 = "SambaNova 2"
SF_COMPUTE = "SF Compute"
TOGETHER_2 = "Together 2"
ONE_DOT_AI = "01.AI"
AI21 = "AI21"
AION_LABS = "AionLabs"
ALIBABA = "Alibaba"
AMAZON_BEDROCK = "Amazon Bedrock"
ANTHROPIC = "Anthropic"
ATLAS_CLOUD = "AtlasCloud"
ATOMA = "Atoma"
AVIAN = "Avian"
AZURE = "Azure"
BASE_TEN = "BaseTen"
CEREBRAS = "Cerebras"
CHUTES = "Chutes"
CLOUDFLARE = "Cloudflare"
COHERE = "Cohere"
CROF_AI = "CrofAI"
CRUSOE = "Crusoe"
DEEP_INFRA = "DeepInfra"
DEEP_SEEK = "DeepSeek"
ENFER = "Enfer"
FEATHERLESS = "Featherless"
FIREWORKS = "Fireworks"
FRIENDLI = "Friendli"
GMI_CLOUD = "GMICloud"
GOOGLE = "Google"
GOOGLE_AI_STUDIO = "Google AI Studio"
GROQ = "Groq"
HYPERBOLIC = "Hyperbolic"
INCEPTION = "Inception"
INFERENCE_NET = "InferenceNet"
INFERMATIC = "Infermatic"
INFLECTION = "Inflection"
INO_CLOUD = "InoCloud"
KLUSTER = "Kluster"
LAMBDA = "Lambda"
LIQUID = "Liquid"
MANCER_2 = "Mancer 2"
META = "Meta"
MINIMAX = "Minimax"
MISTRAL = "Mistral"
MOONSHOT_AI = "Moonshot AI"
MORPH = "Morph"
N_COMPASS = "NCompass"
NEBIUS = "Nebius"
NEXT_BIT = "NextBit"
NINETEEN = "Nineteen"
NOVITA = "Novita"
OPEN_AI = "OpenAI"
OPEN_INFERENCE = "OpenInference"
PARASAIL = "Parasail"
PERPLEXITY = "Perplexity"
PHALA = "Phala"
SAMBA_NOVA = "SambaNova"
STEALTH = "Stealth"
SWITCHPOINT = "Switchpoint"
TARGON = "Targon"
TOGETHER = "Together"
UBICLOUD = "Ubicloud"
VENICE = "Venice"
WAND_B = "WandB"
X_AI = "xAI"
Z_AI = "Z.AI"
ChatStreamCompletionCreateParamsOnlyEnum = Literal[
"AnyScale",
"Cent-ML",
"HuggingFace",
"Hyperbolic 2",
"Lepton",
"Lynn 2",
"Lynn",
"Mancer",
"Modal",
"OctoAI",
"Recursal",
"Reflection",
"Replicate",
"SambaNova 2",
"SF Compute",
"Together 2",
"01.AI",
"AI21",
"AionLabs",
"Alibaba",
"Amazon Bedrock",
"Anthropic",
"AtlasCloud",
"Atoma",
"Avian",
"Azure",
"BaseTen",
"Cerebras",
"Chutes",
"Cloudflare",
"Cohere",
"CrofAI",
"Crusoe",
"DeepInfra",
"DeepSeek",
"Enfer",
"Featherless",
"Fireworks",
"Friendli",
"GMICloud",
"Google",
"Google AI Studio",
"Groq",
"Hyperbolic",
"Inception",
"InferenceNet",
"Infermatic",
"Inflection",
"InoCloud",
"Kluster",
"Lambda",
"Liquid",
"Mancer 2",
"Meta",
"Minimax",
"Mistral",
"Moonshot AI",
"Morph",
"NCompass",
"Nebius",
"NextBit",
"Nineteen",
"Novita",
"OpenAI",
"OpenInference",
"Parasail",
"Perplexity",
"Phala",
"SambaNova",
"Stealth",
"Switchpoint",
"Targon",
"Together",
"Ubicloud",
"Venice",
"WandB",
"xAI",
"Z.AI",
]
ChatStreamCompletionCreateParamsOnlyUnionTypedDict = TypeAliasType(
"ChatStreamCompletionCreateParamsOnlyUnionTypedDict",
@@ -497,86 +478,86 @@ ChatStreamCompletionCreateParamsOnlyUnion = TypeAliasType(
)
class ChatStreamCompletionCreateParamsIgnoreEnum(str, Enum):
ANY_SCALE = "AnyScale"
CENT_ML = "Cent-ML"
HUGGING_FACE = "HuggingFace"
HYPERBOLIC_2 = "Hyperbolic 2"
LEPTON = "Lepton"
LYNN_2 = "Lynn 2"
LYNN = "Lynn"
MANCER = "Mancer"
MODAL = "Modal"
OCTO_AI = "OctoAI"
RECURSAL = "Recursal"
REFLECTION = "Reflection"
REPLICATE = "Replicate"
SAMBA_NOVA_2 = "SambaNova 2"
SF_COMPUTE = "SF Compute"
TOGETHER_2 = "Together 2"
ONE_DOT_AI = "01.AI"
AI21 = "AI21"
AION_LABS = "AionLabs"
ALIBABA = "Alibaba"
AMAZON_BEDROCK = "Amazon Bedrock"
ANTHROPIC = "Anthropic"
ATLAS_CLOUD = "AtlasCloud"
ATOMA = "Atoma"
AVIAN = "Avian"
AZURE = "Azure"
BASE_TEN = "BaseTen"
CEREBRAS = "Cerebras"
CHUTES = "Chutes"
CLOUDFLARE = "Cloudflare"
COHERE = "Cohere"
CROF_AI = "CrofAI"
CRUSOE = "Crusoe"
DEEP_INFRA = "DeepInfra"
DEEP_SEEK = "DeepSeek"
ENFER = "Enfer"
FEATHERLESS = "Featherless"
FIREWORKS = "Fireworks"
FRIENDLI = "Friendli"
GMI_CLOUD = "GMICloud"
GOOGLE = "Google"
GOOGLE_AI_STUDIO = "Google AI Studio"
GROQ = "Groq"
HYPERBOLIC = "Hyperbolic"
INCEPTION = "Inception"
INFERENCE_NET = "InferenceNet"
INFERMATIC = "Infermatic"
INFLECTION = "Inflection"
INO_CLOUD = "InoCloud"
KLUSTER = "Kluster"
LAMBDA = "Lambda"
LIQUID = "Liquid"
MANCER_2 = "Mancer 2"
META = "Meta"
MINIMAX = "Minimax"
MISTRAL = "Mistral"
MOONSHOT_AI = "Moonshot AI"
MORPH = "Morph"
N_COMPASS = "NCompass"
NEBIUS = "Nebius"
NEXT_BIT = "NextBit"
NINETEEN = "Nineteen"
NOVITA = "Novita"
OPEN_AI = "OpenAI"
OPEN_INFERENCE = "OpenInference"
PARASAIL = "Parasail"
PERPLEXITY = "Perplexity"
PHALA = "Phala"
SAMBA_NOVA = "SambaNova"
STEALTH = "Stealth"
SWITCHPOINT = "Switchpoint"
TARGON = "Targon"
TOGETHER = "Together"
UBICLOUD = "Ubicloud"
VENICE = "Venice"
WAND_B = "WandB"
X_AI = "xAI"
Z_AI = "Z.AI"
ChatStreamCompletionCreateParamsIgnoreEnum = Literal[
"AnyScale",
"Cent-ML",
"HuggingFace",
"Hyperbolic 2",
"Lepton",
"Lynn 2",
"Lynn",
"Mancer",
"Modal",
"OctoAI",
"Recursal",
"Reflection",
"Replicate",
"SambaNova 2",
"SF Compute",
"Together 2",
"01.AI",
"AI21",
"AionLabs",
"Alibaba",
"Amazon Bedrock",
"Anthropic",
"AtlasCloud",
"Atoma",
"Avian",
"Azure",
"BaseTen",
"Cerebras",
"Chutes",
"Cloudflare",
"Cohere",
"CrofAI",
"Crusoe",
"DeepInfra",
"DeepSeek",
"Enfer",
"Featherless",
"Fireworks",
"Friendli",
"GMICloud",
"Google",
"Google AI Studio",
"Groq",
"Hyperbolic",
"Inception",
"InferenceNet",
"Infermatic",
"Inflection",
"InoCloud",
"Kluster",
"Lambda",
"Liquid",
"Mancer 2",
"Meta",
"Minimax",
"Mistral",
"Moonshot AI",
"Morph",
"NCompass",
"Nebius",
"NextBit",
"Nineteen",
"Novita",
"OpenAI",
"OpenInference",
"Parasail",
"Perplexity",
"Phala",
"SambaNova",
"Stealth",
"Switchpoint",
"Targon",
"Together",
"Ubicloud",
"Venice",
"WandB",
"xAI",
"Z.AI",
]
ChatStreamCompletionCreateParamsIgnoreUnionTypedDict = TypeAliasType(
"ChatStreamCompletionCreateParamsIgnoreUnionTypedDict",
@@ -590,25 +571,12 @@ ChatStreamCompletionCreateParamsIgnoreUnion = TypeAliasType(
)
class ChatStreamCompletionCreateParamsQuantization(str, Enum):
INT4 = "int4"
INT8 = "int8"
FP4 = "fp4"
FP6 = "fp6"
FP8 = "fp8"
FP16 = "fp16"
BF16 = "bf16"
FP32 = "fp32"
UNKNOWN = "unknown"
class ChatStreamCompletionCreateParamsSort(str, Enum):
r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
PRICE = "price"
THROUGHPUT = "throughput"
LATENCY = "latency"
ChatStreamCompletionCreateParamsQuantization = Literal[
"int4", "int8", "fp4", "fp6", "fp8", "fp16", "bf16", "fp32", "unknown"
]
ChatStreamCompletionCreateParamsSort = Literal["price", "throughput", "latency"]
r"""The sorting strategy to use for this request, if \"order\" is not specified. When set, no load balancing is performed."""
ChatStreamCompletionCreateParamsPromptTypedDict = TypeAliasType(
"ChatStreamCompletionCreateParamsPromptTypedDict", Union[float, str, Any]
@@ -817,14 +785,9 @@ class ChatStreamCompletionCreateParamsProvider(BaseModel):
return m
class ChatStreamCompletionCreateParamsIDFileParser(str, Enum):
FILE_PARSER = "file-parser"
ChatStreamCompletionCreateParamsIDFileParser = Literal["file-parser"]
class ChatStreamCompletionCreateParamsPdfEngine(str, Enum):
MISTRAL_OCR = "mistral-ocr"
PDF_TEXT = "pdf-text"
NATIVE = "native"
ChatStreamCompletionCreateParamsPdfEngine = Literal["mistral-ocr", "pdf-text", "native"]
class ChatStreamCompletionCreateParamsPdfTypedDict(TypedDict):
@@ -849,8 +812,7 @@ class ChatStreamCompletionCreateParamsPluginFileParser(BaseModel):
pdf: Optional[ChatStreamCompletionCreateParamsPdf] = None
class ChatStreamCompletionCreateParamsIDChainOfThought(str, Enum):
CHAIN_OF_THOUGHT = "chain-of-thought"
ChatStreamCompletionCreateParamsIDChainOfThought = Literal["chain-of-thought"]
class ChatStreamCompletionCreateParamsPluginChainOfThoughtTypedDict(TypedDict):
@@ -861,13 +823,9 @@ class ChatStreamCompletionCreateParamsPluginChainOfThought(BaseModel):
id: ChatStreamCompletionCreateParamsIDChainOfThought
class ChatStreamCompletionCreateParamsIDWeb(str, Enum):
WEB = "web"
ChatStreamCompletionCreateParamsIDWeb = Literal["web"]
class ChatStreamCompletionCreateParamsEngine(str, Enum):
NATIVE = "native"
EXA = "exa"
ChatStreamCompletionCreateParamsEngine = Literal["native", "exa"]
class ChatStreamCompletionCreateParamsPluginWebTypedDict(TypedDict):
@@ -887,8 +845,7 @@ class ChatStreamCompletionCreateParamsPluginWeb(BaseModel):
engine: Optional[ChatStreamCompletionCreateParamsEngine] = None
class ChatStreamCompletionCreateParamsIDModeration(str, Enum):
MODERATION = "moderation"
ChatStreamCompletionCreateParamsIDModeration = Literal["moderation"]
class ChatStreamCompletionCreateParamsPluginModerationTypedDict(TypedDict):
@@ -969,7 +926,7 @@ class ChatStreamCompletionCreateParamsTypedDict(TypedDict):
r"""Nucleus sampling parameter (0-1)"""
user: NotRequired[str]
r"""Unique user identifier"""
models_llm: NotRequired[Nullable[List[str]]]
fallback_models: NotRequired[Nullable[List[str]]]
r"""Order of models to fallback to for this request"""
reasoning_effort: NotRequired[
Nullable[ChatStreamCompletionCreateParamsReasoningEffort]
@@ -1050,7 +1007,7 @@ class ChatStreamCompletionCreateParams(BaseModel):
user: Optional[str] = None
r"""Unique user identifier"""
models_llm: Annotated[
fallback_models: Annotated[
OptionalNullable[List[str]], pydantic.Field(alias="models")
] = UNSET
r"""Order of models to fallback to for this request"""
@@ -1089,7 +1046,7 @@ class ChatStreamCompletionCreateParams(BaseModel):
"tools",
"top_p",
"user",
"models_llm",
"fallback_models",
"reasoning_effort",
"provider",
"plugins",
@@ -1108,7 +1065,7 @@ class ChatStreamCompletionCreateParams(BaseModel):
"stream_options",
"temperature",
"top_p",
"models_llm",
"fallback_models",
"reasoning_effort",
"provider",
]
src/openrouter/models/fileannotationdetail.py
+4 -9
View File
@@ -1,18 +1,14 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import BaseModel
from typing import List, Optional, Union
from typing import List, Literal, Optional, Union
from typing_extensions import NotRequired, TypeAliasType, TypedDict
class TypeFile(str, Enum):
FILE = "file"
TypeFile = Literal["file"]
class ContentTypeImageURL(str, Enum):
IMAGE_URL = "image_url"
ContentTypeImageURL = Literal["image_url"]
class FileAnnotationDetailImageURLTypedDict(TypedDict):
@@ -34,8 +30,7 @@ class ContentImageURL(BaseModel):
image_url: FileAnnotationDetailImageURL
class ContentTypeText(str, Enum):
TEXT = "text"
ContentTypeText = Literal["text"]
class ContentTextTypedDict(TypedDict):
src/openrouter/models/reasoningdetailencrypted.py
+6 -10
View File
@@ -1,7 +1,6 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -11,18 +10,15 @@ from openrouter.types import (
)
import pydantic
from pydantic import model_serializer
from typing import Optional
from typing import Literal, Optional
from typing_extensions import Annotated, NotRequired, TypedDict
class ReasoningDetailEncryptedType(str, Enum):
REASONING_ENCRYPTED = "reasoning.encrypted"
ReasoningDetailEncryptedType = Literal["reasoning.encrypted"]
class ReasoningDetailEncryptedFormat(str, Enum):
UNKNOWN = "unknown"
OPENAI_RESPONSES_V1 = "openai-responses-v1"
ANTHROPIC_CLAUDE_V1 = "anthropic-claude-v1"
ReasoningDetailEncryptedFormat = Literal[
"unknown", "openai-responses-v1", "anthropic-claude-v1"
]
class ReasoningDetailEncryptedTypedDict(TypedDict):
@@ -46,7 +42,7 @@ class ReasoningDetailEncrypted(BaseModel):
format_: Annotated[
OptionalNullable[ReasoningDetailEncryptedFormat], pydantic.Field(alias="format")
] = ReasoningDetailEncryptedFormat.ANTHROPIC_CLAUDE_V1
] = "anthropic-claude-v1"
index: Optional[float] = None
src/openrouter/models/reasoningdetailsummary.py
+6 -10
View File
@@ -1,7 +1,6 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -11,18 +10,15 @@ from openrouter.types import (
)
import pydantic
from pydantic import model_serializer
from typing import Optional
from typing import Literal, Optional
from typing_extensions import Annotated, NotRequired, TypedDict
class ReasoningDetailSummaryType(str, Enum):
REASONING_SUMMARY = "reasoning.summary"
ReasoningDetailSummaryType = Literal["reasoning.summary"]
class ReasoningDetailSummaryFormat(str, Enum):
UNKNOWN = "unknown"
OPENAI_RESPONSES_V1 = "openai-responses-v1"
ANTHROPIC_CLAUDE_V1 = "anthropic-claude-v1"
ReasoningDetailSummaryFormat = Literal[
"unknown", "openai-responses-v1", "anthropic-claude-v1"
]
class ReasoningDetailSummaryTypedDict(TypedDict):
@@ -46,7 +42,7 @@ class ReasoningDetailSummary(BaseModel):
format_: Annotated[
OptionalNullable[ReasoningDetailSummaryFormat], pydantic.Field(alias="format")
] = ReasoningDetailSummaryFormat.ANTHROPIC_CLAUDE_V1
] = "anthropic-claude-v1"
index: Optional[float] = None
src/openrouter/models/reasoningdetailtext.py
+6 -10
View File
@@ -1,7 +1,6 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import (
BaseModel,
Nullable,
@@ -11,18 +10,15 @@ from openrouter.types import (
)
import pydantic
from pydantic import model_serializer
from typing import Optional
from typing import Literal, Optional
from typing_extensions import Annotated, NotRequired, TypedDict
class ReasoningDetailTextType(str, Enum):
REASONING_TEXT = "reasoning.text"
ReasoningDetailTextType = Literal["reasoning.text"]
class ReasoningDetailTextFormat(str, Enum):
UNKNOWN = "unknown"
OPENAI_RESPONSES_V1 = "openai-responses-v1"
ANTHROPIC_CLAUDE_V1 = "anthropic-claude-v1"
ReasoningDetailTextFormat = Literal[
"unknown", "openai-responses-v1", "anthropic-claude-v1"
]
class ReasoningDetailTextTypedDict(TypedDict):
@@ -49,7 +45,7 @@ class ReasoningDetailText(BaseModel):
format_: Annotated[
OptionalNullable[ReasoningDetailTextFormat], pydantic.Field(alias="format")
] = ReasoningDetailTextFormat.ANTHROPIC_CLAUDE_V1
] = "anthropic-claude-v1"
index: Optional[float] = None
src/openrouter/models/security.py
+2 -2
View File
@@ -8,11 +8,11 @@ from typing_extensions import Annotated, NotRequired, TypedDict
class SecurityTypedDict(TypedDict):
bearer_auth: NotRequired[str]
api_key: NotRequired[str]
class Security(BaseModel):
bearer_auth: Annotated[
api_key: Annotated[
Optional[str],
FieldMetadata(
security=SecurityMetadata(
src/openrouter/models/urlcitationannotationdetail.py
+2 -4
View File
@@ -1,14 +1,12 @@
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
from __future__ import annotations
from enum import Enum
from openrouter.types import BaseModel
from typing import Optional
from typing import Literal, Optional
from typing_extensions import NotRequired, TypedDict
class URLCitationAnnotationDetailType(str, Enum):
URL_CITATION = "url_citation"
URLCitationAnnotationDetailType = Literal["url_citation"]
class URLCitationTypedDict(TypedDict):
src/openrouter/sdk.py
+20 -7
View File
@@ -10,6 +10,7 @@ import importlib
from openrouter import models, utils
from openrouter._hooks import SDKHooks
from openrouter.types import OptionalNullable, UNSET
import sys
from typing import Any, Callable, Dict, List, Optional, TYPE_CHECKING, Union, cast
import weakref
@@ -30,7 +31,7 @@ class OpenRouter(BaseSDK):
def __init__(
self,
bearer_auth: Optional[Union[Optional[str], Callable[[], Optional[str]]]] = None,
api_key: Optional[Union[Optional[str], Callable[[], Optional[str]]]] = None,
provider_url: Optional[str] = None,
server_idx: Optional[int] = None,
server_url: Optional[str] = None,
@@ -43,7 +44,7 @@ class OpenRouter(BaseSDK):
) -> None:
r"""Instantiates the SDK configuring it with the provided parameters.
:param bearer_auth: The bearer_auth required for authentication
:param api_key: The api_key required for authentication
:param provider_url: Allows setting the provider_url variable for url substitution
:param server_idx: The index of the server to use for all methods
:param server_url: The server URL to use for all methods
@@ -75,11 +76,11 @@ class OpenRouter(BaseSDK):
), "The provided async_client must implement the AsyncHttpClient protocol."
security: Any = None
if callable(bearer_auth):
if callable(api_key):
# pylint: disable=unnecessary-lambda-assignment
security = lambda: models.Security(bearer_auth=bearer_auth())
security = lambda: models.Security(api_key=api_key())
else:
security = models.Security(bearer_auth=bearer_auth)
security = models.Security(api_key=api_key)
if server_url is not None:
if url_params is not None:
@@ -105,6 +106,7 @@ class OpenRouter(BaseSDK):
timeout_ms=timeout_ms,
debug_logger=debug_logger,
),
parent_ref=self,
)
hooks = SDKHooks()
@@ -124,13 +126,24 @@ class OpenRouter(BaseSDK):
self.sdk_configuration.async_client_supplied,
)
def dynamic_import(self, modname, retries=3):
for attempt in range(retries):
try:
return importlib.import_module(modname)
except KeyError:
# Clear any half-initialized module and retry
sys.modules.pop(modname, None)
if attempt == retries - 1:
break
raise KeyError(f"Failed to import module '{modname}' after {retries} attempts")
def __getattr__(self, name: str):
if name in self._sub_sdk_map:
module_path, class_name = self._sub_sdk_map[name]
try:
module = importlib.import_module(module_path)
module = self.dynamic_import(module_path)
klass = getattr(module, class_name)
instance = klass(self.sdk_configuration)
instance = klass(self.sdk_configuration, parent_ref=self)
setattr(self, name, instance)
return instance
except ImportError as e:
src/openrouter/utils/__init__.py
+15 -3
View File
@@ -3,6 +3,7 @@
from typing import TYPE_CHECKING
from importlib import import_module
import builtins
import sys
if TYPE_CHECKING:
from .annotations import get_discriminator
@@ -162,6 +163,18 @@ _dynamic_imports: dict[str, str] = {
}
def dynamic_import(modname, retries=3):
for attempt in range(retries):
try:
return import_module(modname, __package__)
except KeyError:
# Clear any half-initialized module and retry
sys.modules.pop(modname, None)
if attempt == retries - 1:
break
raise KeyError(f"Failed to import module '{modname}' after {retries} attempts")
def __getattr__(attr_name: str) -> object:
module_name = _dynamic_imports.get(attr_name)
if module_name is None:
@@ -170,9 +183,8 @@ def __getattr__(attr_name: str) -> object:
)
try:
module = import_module(module_name, __package__)
result = getattr(module, attr_name)
return result
module = dynamic_import(module_name)
return getattr(module, attr_name)
except ImportError as e:
raise ImportError(
f"Failed to import {attr_name} from {module_name}: {e}"
src/openrouter/utils/eventstreaming.py
+10
View File
@@ -17,6 +17,9 @@ T = TypeVar("T")
class EventStream(Generic[T]):
# Holds a reference to the SDK client to avoid it being garbage collected
# and cause termination of the underlying httpx client.
client_ref: Optional[object]
response: httpx.Response
generator: Generator[T, None, None]
@@ -25,9 +28,11 @@ class EventStream(Generic[T]):
response: httpx.Response,
decoder: Callable[[str], T],
sentinel: Optional[str] = None,
client_ref: Optional[object] = None,
):
self.response = response
self.generator = stream_events(response, decoder, sentinel)
self.client_ref = client_ref
def __iter__(self):
return self
@@ -43,6 +48,9 @@ class EventStream(Generic[T]):
class EventStreamAsync(Generic[T]):
# Holds a reference to the SDK client to avoid it being garbage collected
# and cause termination of the underlying httpx client.
client_ref: Optional[object]
response: httpx.Response
generator: AsyncGenerator[T, None]
@@ -51,9 +59,11 @@ class EventStreamAsync(Generic[T]):
response: httpx.Response,
decoder: Callable[[str], T],
sentinel: Optional[str] = None,
client_ref: Optional[object] = None,
):
self.response = response
self.generator = stream_events_async(response, decoder, sentinel)
self.client_ref = client_ref
def __aiter__(self):
return self
src/openrouter/utils/security.py
+2 -2
View File
@@ -64,8 +64,8 @@ def get_security_from_env(security: Any, security_class: Any) -> Optional[BaseMo
security_dict: Any = {}
if os.getenv("OPENROUTER_BEARER_AUTH"):
security_dict["bearer_auth"] = os.getenv("OPENROUTER_BEARER_AUTH")
if os.getenv("OPENROUTER_API_KEY"):
security_dict["api_key"] = os.getenv("OPENROUTER_API_KEY")
return security_class(**security_dict) if security_dict else None