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data/tefig/envs/olmes-eval/lib/python3.10/site-packages/openai/types/chat/__init__.py

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+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from .chat_completion import ChatCompletion as ChatCompletion
+from .chat_completion_role import ChatCompletionRole as ChatCompletionRole
+from .chat_completion_audio import ChatCompletionAudio as ChatCompletionAudio
+from .chat_completion_chunk import ChatCompletionChunk as ChatCompletionChunk
+from .completion_list_params import CompletionListParams as CompletionListParams
+from .parsed_chat_completion import (
+    ParsedChoice as ParsedChoice,
+    ParsedChatCompletion as ParsedChatCompletion,
+    ParsedChatCompletionMessage as ParsedChatCompletionMessage,
+)
+from .chat_completion_deleted import ChatCompletionDeleted as ChatCompletionDeleted
+from .chat_completion_message import ChatCompletionMessage as ChatCompletionMessage
+from .chat_completion_modality import ChatCompletionModality as ChatCompletionModality
+from .completion_create_params import CompletionCreateParams as CompletionCreateParams
+from .completion_update_params import CompletionUpdateParams as CompletionUpdateParams
+from .parsed_function_tool_call import (
+    ParsedFunction as ParsedFunction,
+    ParsedFunctionToolCall as ParsedFunctionToolCall,
+)
+from .chat_completion_tool_param import ChatCompletionToolParam as ChatCompletionToolParam
+from .chat_completion_audio_param import ChatCompletionAudioParam as ChatCompletionAudioParam
+from .chat_completion_function_tool import ChatCompletionFunctionTool as ChatCompletionFunctionTool
+from .chat_completion_message_param import ChatCompletionMessageParam as ChatCompletionMessageParam
+from .chat_completion_store_message import ChatCompletionStoreMessage as ChatCompletionStoreMessage
+from .chat_completion_token_logprob import ChatCompletionTokenLogprob as ChatCompletionTokenLogprob
+from .chat_completion_reasoning_effort import ChatCompletionReasoningEffort as ChatCompletionReasoningEffort
+from .chat_completion_tool_union_param import ChatCompletionToolUnionParam as ChatCompletionToolUnionParam
+from .chat_completion_content_part_text import ChatCompletionContentPartText as ChatCompletionContentPartText
+from .chat_completion_custom_tool_param import ChatCompletionCustomToolParam as ChatCompletionCustomToolParam
+from .chat_completion_message_tool_call import (
+    ChatCompletionMessageToolCall as ChatCompletionMessageToolCall,
+    ChatCompletionMessageToolCallUnion as ChatCompletionMessageToolCallUnion,
+)
+from .chat_completion_content_part_image import ChatCompletionContentPartImage as ChatCompletionContentPartImage
+from .chat_completion_content_part_param import ChatCompletionContentPartParam as ChatCompletionContentPartParam
+from .chat_completion_tool_message_param import ChatCompletionToolMessageParam as ChatCompletionToolMessageParam
+from .chat_completion_user_message_param import ChatCompletionUserMessageParam as ChatCompletionUserMessageParam
+from .chat_completion_allowed_tools_param import ChatCompletionAllowedToolsParam as ChatCompletionAllowedToolsParam
+from .chat_completion_function_tool_param import ChatCompletionFunctionToolParam as ChatCompletionFunctionToolParam
+from .chat_completion_stream_options_param import ChatCompletionStreamOptionsParam as ChatCompletionStreamOptionsParam
+from .chat_completion_system_message_param import ChatCompletionSystemMessageParam as ChatCompletionSystemMessageParam
+from .chat_completion_function_message_param import (
+    ChatCompletionFunctionMessageParam as ChatCompletionFunctionMessageParam,
+)
+from .chat_completion_assistant_message_param import (
+    ChatCompletionAssistantMessageParam as ChatCompletionAssistantMessageParam,
+)
+from .chat_completion_content_part_text_param import (
+    ChatCompletionContentPartTextParam as ChatCompletionContentPartTextParam,
+)
+from .chat_completion_developer_message_param import (
+    ChatCompletionDeveloperMessageParam as ChatCompletionDeveloperMessageParam,
+)
+from .chat_completion_message_tool_call_param import (
+    ChatCompletionMessageToolCallParam as ChatCompletionMessageToolCallParam,
+)
+from .chat_completion_named_tool_choice_param import (
+    ChatCompletionNamedToolChoiceParam as ChatCompletionNamedToolChoiceParam,
+)
+from .chat_completion_content_part_image_param import (
+    ChatCompletionContentPartImageParam as ChatCompletionContentPartImageParam,
+)
+from .chat_completion_message_custom_tool_call import (
+    ChatCompletionMessageCustomToolCall as ChatCompletionMessageCustomToolCall,
+)
+from .chat_completion_prediction_content_param import (
+    ChatCompletionPredictionContentParam as ChatCompletionPredictionContentParam,
+)
+from .chat_completion_tool_choice_option_param import (
+    ChatCompletionToolChoiceOptionParam as ChatCompletionToolChoiceOptionParam,
+)
+from .chat_completion_allowed_tool_choice_param import (
+    ChatCompletionAllowedToolChoiceParam as ChatCompletionAllowedToolChoiceParam,
+)
+from .chat_completion_content_part_refusal_param import (
+    ChatCompletionContentPartRefusalParam as ChatCompletionContentPartRefusalParam,
+)
+from .chat_completion_function_call_option_param import (
+    ChatCompletionFunctionCallOptionParam as ChatCompletionFunctionCallOptionParam,
+)
+from .chat_completion_message_function_tool_call import (
+    ChatCompletionMessageFunctionToolCall as ChatCompletionMessageFunctionToolCall,
+)
+from .chat_completion_message_tool_call_union_param import (
+    ChatCompletionMessageToolCallUnionParam as ChatCompletionMessageToolCallUnionParam,
+)
+from .chat_completion_content_part_input_audio_param import (
+    ChatCompletionContentPartInputAudioParam as ChatCompletionContentPartInputAudioParam,
+)
+from .chat_completion_message_custom_tool_call_param import (
+    ChatCompletionMessageCustomToolCallParam as ChatCompletionMessageCustomToolCallParam,
+)
+from .chat_completion_named_tool_choice_custom_param import (
+    ChatCompletionNamedToolChoiceCustomParam as ChatCompletionNamedToolChoiceCustomParam,
+)
+from .chat_completion_message_function_tool_call_param import (
+    ChatCompletionMessageFunctionToolCallParam as ChatCompletionMessageFunctionToolCallParam,
+)

data/tefig/envs/olmes-eval/lib/python3.10/site-packages/openai/types/chat/chat_completion.py

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+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import List, Optional
+from typing_extensions import Literal
+
+from ..._models import BaseModel
+from ..completion_usage import CompletionUsage
+from .chat_completion_message import ChatCompletionMessage
+from .chat_completion_token_logprob import ChatCompletionTokenLogprob
+
+__all__ = ["ChatCompletion", "Choice", "ChoiceLogprobs"]
+
+
+class ChoiceLogprobs(BaseModel):
+    """Log probability information for the choice."""
+
+    content: Optional[List[ChatCompletionTokenLogprob]] = None
+    """A list of message content tokens with log probability information."""
+
+    refusal: Optional[List[ChatCompletionTokenLogprob]] = None
+    """A list of message refusal tokens with log probability information."""
+
+
+class Choice(BaseModel):
+    finish_reason: Literal["stop", "length", "tool_calls", "content_filter", "function_call"]
+    """The reason the model stopped generating tokens.
+
+    This will be `stop` if the model hit a natural stop point or a provided stop
+    sequence, `length` if the maximum number of tokens specified in the request was
+    reached, `content_filter` if content was omitted due to a flag from our content
+    filters, `tool_calls` if the model called a tool, or `function_call`
+    (deprecated) if the model called a function.
+    """
+
+    index: int
+    """The index of the choice in the list of choices."""
+
+    logprobs: Optional[ChoiceLogprobs] = None
+    """Log probability information for the choice."""
+
+    message: ChatCompletionMessage
+    """A chat completion message generated by the model."""
+
+
+class ChatCompletion(BaseModel):
+    """
+    Represents a chat completion response returned by model, based on the provided input.
+    """
+
+    id: str
+    """A unique identifier for the chat completion."""
+
+    choices: List[Choice]
+    """A list of chat completion choices.
+
+    Can be more than one if `n` is greater than 1.
+    """
+
+    created: int
+    """The Unix timestamp (in seconds) of when the chat completion was created."""
+
+    model: str
+    """The model used for the chat completion."""
+
+    object: Literal["chat.completion"]
+    """The object type, which is always `chat.completion`."""
+
+    service_tier: Optional[Literal["auto", "default", "flex", "scale", "priority"]] = None
+    """Specifies the processing type used for serving the request.
+
+    - If set to 'auto', then the request will be processed with the service tier
+      configured in the Project settings. Unless otherwise configured, the Project
+      will use 'default'.
+    - If set to 'default', then the request will be processed with the standard
+      pricing and performance for the selected model.
+    - If set to '[flex](https://platform.openai.com/docs/guides/flex-processing)' or
+      '[priority](https://openai.com/api-priority-processing/)', then the request
+      will be processed with the corresponding service tier.
+    - When not set, the default behavior is 'auto'.
+
+    When the `service_tier` parameter is set, the response body will include the
+    `service_tier` value based on the processing mode actually used to serve the
+    request. This response value may be different from the value set in the
+    parameter.
+    """
+
+    system_fingerprint: Optional[str] = None
+    """This fingerprint represents the backend configuration that the model runs with.
+
+    Can be used in conjunction with the `seed` request parameter to understand when
+    backend changes have been made that might impact determinism.
+    """
+
+    usage: Optional[CompletionUsage] = None
+    """Usage statistics for the completion request."""

data/tefig/envs/olmes-eval/lib/python3.10/site-packages/openai/types/chat/chat_completion_allowed_tool_choice_param.py

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+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import Literal, Required, TypedDict
+
+from .chat_completion_allowed_tools_param import ChatCompletionAllowedToolsParam
+
+__all__ = ["ChatCompletionAllowedToolChoiceParam"]
+
+
+class ChatCompletionAllowedToolChoiceParam(TypedDict, total=False):
+    """Constrains the tools available to the model to a pre-defined set."""
+
+    allowed_tools: Required[ChatCompletionAllowedToolsParam]
+    """Constrains the tools available to the model to a pre-defined set."""
+
+    type: Required[Literal["allowed_tools"]]
+    """Allowed tool configuration type. Always `allowed_tools`."""

data/tefig/envs/olmes-eval/lib/python3.10/site-packages/openai/types/chat/chat_completion_audio.py

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+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from ..._models import BaseModel
+
+__all__ = ["ChatCompletionAudio"]
+
+
+class ChatCompletionAudio(BaseModel):
+    """
+    If the audio output modality is requested, this object contains data
+    about the audio response from the model. [Learn more](https://platform.openai.com/docs/guides/audio).
+    """
+
+    id: str
+    """Unique identifier for this audio response."""
+
+    data: str
+    """
+    Base64 encoded audio bytes generated by the model, in the format specified in
+    the request.
+    """
+
+    expires_at: int
+    """
+    The Unix timestamp (in seconds) for when this audio response will no longer be
+    accessible on the server for use in multi-turn conversations.
+    """
+
+    transcript: str
+    """Transcript of the audio generated by the model."""

data/tefig/envs/olmes-eval/lib/python3.10/site-packages/openai/types/chat/chat_completion_audio_param.py

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+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import Union
+from typing_extensions import Literal, Required, TypeAlias, TypedDict
+
+__all__ = ["ChatCompletionAudioParam", "Voice", "VoiceID"]
+
+
+class VoiceID(TypedDict, total=False):
+    """Custom voice reference."""
+
+    id: Required[str]
+    """The custom voice ID, e.g. `voice_1234`."""
+
+
+Voice: TypeAlias = Union[
+    str, Literal["alloy", "ash", "ballad", "coral", "echo", "sage", "shimmer", "verse", "marin", "cedar"], VoiceID
+]
+
+
+class ChatCompletionAudioParam(TypedDict, total=False):
+    """Parameters for audio output.
+
+    Required when audio output is requested with
+    `modalities: ["audio"]`. [Learn more](https://platform.openai.com/docs/guides/audio).
+    """
+
+    format: Required[Literal["wav", "aac", "mp3", "flac", "opus", "pcm16"]]
+    """Specifies the output audio format.
+
+    Must be one of `wav`, `mp3`, `flac`, `opus`, or `pcm16`.
+    """
+
+    voice: Required[Voice]
+    """The voice the model uses to respond.
+
+    Supported built-in voices are `alloy`, `ash`, `ballad`, `coral`, `echo`,
+    `fable`, `nova`, `onyx`, `sage`, `shimmer`, `marin`, and `cedar`. You may also
+    provide a custom voice object with an `id`, for example
+    `{ "id": "voice_1234" }`.
+    """

data/tefig/envs/olmes-eval/lib/python3.10/site-packages/openai/types/chat/chat_completion_chunk.py

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+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import List, Optional
+from typing_extensions import Literal
+
+from ..._models import BaseModel
+from ..completion_usage import CompletionUsage
+from .chat_completion_token_logprob import ChatCompletionTokenLogprob
+
+__all__ = [
+    "ChatCompletionChunk",
+    "Choice",
+    "ChoiceDelta",
+    "ChoiceDeltaFunctionCall",
+    "ChoiceDeltaToolCall",
+    "ChoiceDeltaToolCallFunction",
+    "ChoiceLogprobs",
+]
+
+
+class ChoiceDeltaFunctionCall(BaseModel):
+    """Deprecated and replaced by `tool_calls`.
+
+    The name and arguments of a function that should be called, as generated by the model.
+    """
+
+    arguments: Optional[str] = None
+    """
+    The arguments to call the function with, as generated by the model in JSON
+    format. Note that the model does not always generate valid JSON, and may
+    hallucinate parameters not defined by your function schema. Validate the
+    arguments in your code before calling your function.
+    """
+
+    name: Optional[str] = None
+    """The name of the function to call."""
+
+
+class ChoiceDeltaToolCallFunction(BaseModel):
+    arguments: Optional[str] = None
+    """
+    The arguments to call the function with, as generated by the model in JSON
+    format. Note that the model does not always generate valid JSON, and may
+    hallucinate parameters not defined by your function schema. Validate the
+    arguments in your code before calling your function.
+    """
+
+    name: Optional[str] = None
+    """The name of the function to call."""
+
+
+class ChoiceDeltaToolCall(BaseModel):
+    index: int
+
+    id: Optional[str] = None
+    """The ID of the tool call."""
+
+    function: Optional[ChoiceDeltaToolCallFunction] = None
+
+    type: Optional[Literal["function"]] = None
+    """The type of the tool. Currently, only `function` is supported."""
+
+
+class ChoiceDelta(BaseModel):
+    """A chat completion delta generated by streamed model responses."""
+
+    content: Optional[str] = None
+    """The contents of the chunk message."""
+
+    function_call: Optional[ChoiceDeltaFunctionCall] = None
+    """Deprecated and replaced by `tool_calls`.
+
+    The name and arguments of a function that should be called, as generated by the
+    model.
+    """
+
+    refusal: Optional[str] = None
+    """The refusal message generated by the model."""
+
+    role: Optional[Literal["developer", "system", "user", "assistant", "tool"]] = None
+    """The role of the author of this message."""
+
+    tool_calls: Optional[List[ChoiceDeltaToolCall]] = None
+
+
+class ChoiceLogprobs(BaseModel):
+    """Log probability information for the choice."""
+
+    content: Optional[List[ChatCompletionTokenLogprob]] = None
+    """A list of message content tokens with log probability information."""
+
+    refusal: Optional[List[ChatCompletionTokenLogprob]] = None
+    """A list of message refusal tokens with log probability information."""
+
+
+class Choice(BaseModel):
+    delta: ChoiceDelta
+    """A chat completion delta generated by streamed model responses."""
+
+    finish_reason: Optional[Literal["stop", "length", "tool_calls", "content_filter", "function_call"]] = None
+    """The reason the model stopped generating tokens.
+
+    This will be `stop` if the model hit a natural stop point or a provided stop
+    sequence, `length` if the maximum number of tokens specified in the request was
+    reached, `content_filter` if content was omitted due to a flag from our content
+    filters, `tool_calls` if the model called a tool, or `function_call`
+    (deprecated) if the model called a function.
+    """
+
+    index: int
+    """The index of the choice in the list of choices."""
+
+    logprobs: Optional[ChoiceLogprobs] = None
+    """Log probability information for the choice."""
+
+
+class ChatCompletionChunk(BaseModel):
+    """
+    Represents a streamed chunk of a chat completion response returned
+    by the model, based on the provided input.
+    [Learn more](https://platform.openai.com/docs/guides/streaming-responses).
+    """
+
+    id: str
+    """A unique identifier for the chat completion. Each chunk has the same ID."""
+
+    choices: List[Choice]
+    """A list of chat completion choices.
+
+    Can contain more than one elements if `n` is greater than 1. Can also be empty
+    for the last chunk if you set `stream_options: {"include_usage": true}`.
+    """
+
+    created: int
+    """The Unix timestamp (in seconds) of when the chat completion was created.
+
+    Each chunk has the same timestamp.
+    """
+
+    model: str
+    """The model to generate the completion."""
+
+    object: Literal["chat.completion.chunk"]
+    """The object type, which is always `chat.completion.chunk`."""
+
+    service_tier: Optional[Literal["auto", "default", "flex", "scale", "priority"]] = None
+    """Specifies the processing type used for serving the request.
+
+    - If set to 'auto', then the request will be processed with the service tier
+      configured in the Project settings. Unless otherwise configured, the Project
+      will use 'default'.
+    - If set to 'default', then the request will be processed with the standard
+      pricing and performance for the selected model.
+    - If set to '[flex](https://platform.openai.com/docs/guides/flex-processing)' or
+      '[priority](https://openai.com/api-priority-processing/)', then the request
+      will be processed with the corresponding service tier.
+    - When not set, the default behavior is 'auto'.
+
+    When the `service_tier` parameter is set, the response body will include the
+    `service_tier` value based on the processing mode actually used to serve the
+    request. This response value may be different from the value set in the
+    parameter.
+    """
+
+    system_fingerprint: Optional[str] = None
+    """
+    This fingerprint represents the backend configuration that the model runs with.
+    Can be used in conjunction with the `seed` request parameter to understand when
+    backend changes have been made that might impact determinism.
+    """
+
+    usage: Optional[CompletionUsage] = None
+    """
+    An optional field that will only be present when you set
+    `stream_options: {"include_usage": true}` in your request. When present, it
+    contains a null value **except for the last chunk** which contains the token
+    usage statistics for the entire request.
+
+    **NOTE:** If the stream is interrupted or cancelled, you may not receive the
+    final usage chunk which contains the total token usage for the request.
+    """

data/tefig/envs/olmes-eval/lib/python3.10/site-packages/openai/types/chat/chat_completion_content_part_image_param.py

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+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import Literal, Required, TypedDict
+
+__all__ = ["ChatCompletionContentPartImageParam", "ImageURL"]
+
+
+class ImageURL(TypedDict, total=False):
+    url: Required[str]
+    """Either a URL of the image or the base64 encoded image data."""
+
+    detail: Literal["auto", "low", "high"]
+    """Specifies the detail level of the image.
+
+    Learn more in the
+    [Vision guide](https://platform.openai.com/docs/guides/vision#low-or-high-fidelity-image-understanding).
+    """
+
+
+class ChatCompletionContentPartImageParam(TypedDict, total=False):
+    """Learn about [image inputs](https://platform.openai.com/docs/guides/vision)."""
+
+    image_url: Required[ImageURL]
+
+    type: Required[Literal["image_url"]]
+    """The type of the content part."""

data/tefig/envs/olmes-eval/lib/python3.10/site-packages/openai/types/chat/chat_completion_content_part_input_audio_param.py

@@ -0,0 +1,24 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import Literal, Required, TypedDict
+
+__all__ = ["ChatCompletionContentPartInputAudioParam", "InputAudio"]
+
+
+class InputAudio(TypedDict, total=False):
+    data: Required[str]
+    """Base64 encoded audio data."""
+
+    format: Required[Literal["wav", "mp3"]]
+    """The format of the encoded audio data. Currently supports "wav" and "mp3"."""
+
+
+class ChatCompletionContentPartInputAudioParam(TypedDict, total=False):
+    """Learn about [audio inputs](https://platform.openai.com/docs/guides/audio)."""
+
+    input_audio: Required[InputAudio]
+
+    type: Required[Literal["input_audio"]]
+    """The type of the content part. Always `input_audio`."""

data/tefig/envs/olmes-eval/lib/python3.10/site-packages/openai/types/chat/chat_completion_content_part_param.py

@@ -0,0 +1,45 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing import Union
+from typing_extensions import Literal, Required, TypeAlias, TypedDict
+
+from .chat_completion_content_part_text_param import ChatCompletionContentPartTextParam
+from .chat_completion_content_part_image_param import ChatCompletionContentPartImageParam
+from .chat_completion_content_part_input_audio_param import ChatCompletionContentPartInputAudioParam
+
+__all__ = ["ChatCompletionContentPartParam", "File", "FileFile"]
+
+
+class FileFile(TypedDict, total=False):
+    file_data: str
+    """
+    The base64 encoded file data, used when passing the file to the model as a
+    string.
+    """
+
+    file_id: str
+    """The ID of an uploaded file to use as input."""
+
+    filename: str
+    """The name of the file, used when passing the file to the model as a string."""
+
+
+class File(TypedDict, total=False):
+    """
+    Learn about [file inputs](https://platform.openai.com/docs/guides/text) for text generation.
+    """
+
+    file: Required[FileFile]
+
+    type: Required[Literal["file"]]
+    """The type of the content part. Always `file`."""
+
+
+ChatCompletionContentPartParam: TypeAlias = Union[
+    ChatCompletionContentPartTextParam,
+    ChatCompletionContentPartImageParam,
+    ChatCompletionContentPartInputAudioParam,
+    File,
+]

data/tefig/envs/olmes-eval/lib/python3.10/site-packages/openai/types/chat/chat_completion_content_part_refusal_param.py

@@ -0,0 +1,15 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from __future__ import annotations
+
+from typing_extensions import Literal, Required, TypedDict
+
+__all__ = ["ChatCompletionContentPartRefusalParam"]
+
+
+class ChatCompletionContentPartRefusalParam(TypedDict, total=False):
+    refusal: Required[str]
+    """The refusal message generated by the model."""
+
+    type: Required[Literal["refusal"]]
+    """The type of the content part."""