sample_id stringlengths 21 196 | text stringlengths 105 936k | metadata dict | category stringclasses 6
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openai/openai-python:src/openai/types/responses/response_custom_tool_call_output.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import List, Union, Optional
from typing_extensions import Literal, Annotated, TypeAlias
from ..._utils import PropertyInfo
from ..._models import BaseModel
from .response_input_file import ResponseInputFile
from .respon... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_custom_tool_call_output.py",
"license": "Apache License 2.0",
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} | function_simple |
openai/openai-python:src/openai/types/responses/response_custom_tool_call_output_param.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing import Union, Iterable
from typing_extensions import Literal, Required, TypeAlias, TypedDict
from .response_input_file_param import ResponseInputFileParam
from .response_input_text_par... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_custom_tool_call_output_param.py",
"license": "Apache License 2.0",
"lines": 22,
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openai/openai-python:src/openai/types/responses/response_custom_tool_call_param.py | # 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__ = ["ResponseCustomToolCallParam"]
class ResponseCustomToolCallParam(TypedDict, total=False):
"""A call to a custom tool cre... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_custom_tool_call_param.py",
"license": "Apache License 2.0",
"lines": 16,
"canary_id": -1,
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} | function_simple |
openai/openai-python:src/openai/types/responses/tool_choice_allowed.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Dict, List
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ToolChoiceAllowed"]
class ToolChoiceAllowed(BaseModel):
"""Constrains the tools available to the model to a pre-... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/tool_choice_allowed.py",
"license": "Apache License 2.0",
"lines": 26,
"canary_id": -1,
"canary_value": "",
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} | documentation |
openai/openai-python:src/openai/types/responses/tool_choice_allowed_param.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing import Dict, Iterable
from typing_extensions import Literal, Required, TypedDict
__all__ = ["ToolChoiceAllowedParam"]
class ToolChoiceAllowedParam(TypedDict, total=False):
"""Con... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/tool_choice_allowed_param.py",
"license": "Apache License 2.0",
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} | documentation |
openai/openai-python:src/openai/types/responses/tool_choice_custom.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ToolChoiceCustom"]
class ToolChoiceCustom(BaseModel):
"""Use this option to force the model to call a specific custom tool."""
name: str
... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/tool_choice_custom.py",
"license": "Apache License 2.0",
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} | function_simple |
openai/openai-python:src/openai/types/responses/tool_choice_custom_param.py | # 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__ = ["ToolChoiceCustomParam"]
class ToolChoiceCustomParam(TypedDict, total=False):
"""Use this option to force the model to c... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/tool_choice_custom_param.py",
"license": "Apache License 2.0",
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} | function_simple |
openai/openai-python:src/openai/types/shared/custom_tool_input_format.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Union
from typing_extensions import Literal, Annotated, TypeAlias
from ..._utils import PropertyInfo
from ..._models import BaseModel
__all__ = ["CustomToolInputFormat", "Text", "Grammar"]
class Text(BaseModel)... | {
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"file_path": "src/openai/types/shared/custom_tool_input_format.py",
"license": "Apache License 2.0",
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} | function_simple |
openai/openai-python:src/openai/types/shared/response_format_text_grammar.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseFormatTextGrammar"]
class ResponseFormatTextGrammar(BaseModel):
"""
A custom grammar for the model to follow when generating text.... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/shared/response_format_text_grammar.py",
"license": "Apache License 2.0",
"lines": 13,
"canary_id": -1,
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} | documentation |
openai/openai-python:src/openai/types/shared/response_format_text_python.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseFormatTextPython"]
class ResponseFormatTextPython(BaseModel):
"""Configure the model to generate valid Python code.
See the
[... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/shared/response_format_text_python.py",
"license": "Apache License 2.0",
"lines": 11,
"canary_id": -1,
"canary_value": "",
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"provider": "",
"regex_pattern": "",
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} | documentation |
openai/openai-python:src/openai/types/shared_params/custom_tool_input_format.py | # 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__ = ["CustomToolInputFormat", "Text", "Grammar"]
class Text(TypedDict, total=False):
"""U... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/shared_params/custom_tool_input_format.py",
"license": "Apache License 2.0",
"lines": 18,
"canary_id": -1,
"canary_value": "",
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} | function_simple |
openai/openai-python:src/openai/types/responses/response_reasoning_text_delta_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseReasoningTextDeltaEvent"]
class ResponseReasoningTextDeltaEvent(BaseModel):
"""Emitted when a delta is added to a reasoning text."""
... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_reasoning_text_delta_event.py",
"license": "Apache License 2.0",
"lines": 18,
"canary_id": -1,
"canary_value": "",
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} | function_simple |
openai/openai-python:src/openai/types/responses/response_reasoning_text_done_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseReasoningTextDoneEvent"]
class ResponseReasoningTextDoneEvent(BaseModel):
"""Emitted when a reasoning text is completed."""
conte... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_reasoning_text_done_event.py",
"license": "Apache License 2.0",
"lines": 18,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
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} | function_simple |
openai/openai-python:src/openai/types/chat/chat_completion_content_part_image.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Optional
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ChatCompletionContentPartImage", "ImageURL"]
class ImageURL(BaseModel):
url: str
"""Either a URL of the image ... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/chat/chat_completion_content_part_image.py",
"license": "Apache License 2.0",
"lines": 18,
"canary_id": -1,
"canary_value": "",
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"regex_pattern": "",
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} | function_simple |
openai/openai-python:src/openai/types/chat/chat_completion_content_part_text.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ChatCompletionContentPartText"]
class ChatCompletionContentPartText(BaseModel):
"""
Learn about [text inputs](https://platform.openai.com/... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/chat/chat_completion_content_part_text.py",
"license": "Apache License 2.0",
"lines": 12,
"canary_id": -1,
"canary_value": "",
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} | documentation |
openai/openai-python:examples/image_stream.py | #!/usr/bin/env python
import base64
from pathlib import Path
from openai import OpenAI
client = OpenAI()
def main() -> None:
"""Example of OpenAI image streaming with partial images."""
stream = client.images.generate(
model="gpt-image-1",
prompt="A cute baby sea otter",
n=1,
... | {
"repo_id": "openai/openai-python",
"file_path": "examples/image_stream.py",
"license": "Apache License 2.0",
"lines": 41,
"canary_id": -1,
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} | function_simple |
openai/openai-python:src/openai/types/image_edit_completed_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from .._models import BaseModel
__all__ = ["ImageEditCompletedEvent", "Usage", "UsageInputTokensDetails"]
class UsageInputTokensDetails(BaseModel):
"""The input tokens detailed informatio... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/image_edit_completed_event.py",
"license": "Apache License 2.0",
"lines": 43,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
openai/openai-python:src/openai/types/image_edit_partial_image_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from .._models import BaseModel
__all__ = ["ImageEditPartialImageEvent"]
class ImageEditPartialImageEvent(BaseModel):
"""Emitted when a partial image is available during image editing str... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/image_edit_partial_image_event.py",
"license": "Apache License 2.0",
"lines": 22,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
openai/openai-python:src/openai/types/image_edit_stream_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Union
from typing_extensions import Annotated, TypeAlias
from .._utils import PropertyInfo
from .image_edit_completed_event import ImageEditCompletedEvent
from .image_edit_partial_image_event import ImageEditParti... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/image_edit_stream_event.py",
"license": "Apache License 2.0",
"lines": 10,
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} | function_simple |
openai/openai-python:src/openai/types/image_gen_completed_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from .._models import BaseModel
__all__ = ["ImageGenCompletedEvent", "Usage", "UsageInputTokensDetails"]
class UsageInputTokensDetails(BaseModel):
"""The input tokens detailed information... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/image_gen_completed_event.py",
"license": "Apache License 2.0",
"lines": 43,
"canary_id": -1,
"canary_value": "",
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"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
openai/openai-python:src/openai/types/image_gen_partial_image_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from .._models import BaseModel
__all__ = ["ImageGenPartialImageEvent"]
class ImageGenPartialImageEvent(BaseModel):
"""Emitted when a partial image is available during image generation st... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/image_gen_partial_image_event.py",
"license": "Apache License 2.0",
"lines": 22,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
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"template": ""
} | documentation |
openai/openai-python:src/openai/types/image_gen_stream_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Union
from typing_extensions import Annotated, TypeAlias
from .._utils import PropertyInfo
from .image_gen_completed_event import ImageGenCompletedEvent
from .image_gen_partial_image_event import ImageGenPartialIm... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/image_gen_stream_event.py",
"license": "Apache License 2.0",
"lines": 10,
"canary_id": -1,
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} | function_simple |
openai/openai-python:src/openai/cli/_api/fine_tuning/jobs.py | from __future__ import annotations
import json
from typing import TYPE_CHECKING
from argparse import ArgumentParser
from ..._utils import get_client, print_model
from ...._types import Omittable, omit
from ...._utils import is_given
from ..._models import BaseModel
from ....pagination import SyncCursorPage
from ....t... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/cli/_api/fine_tuning/jobs.py",
"license": "Apache License 2.0",
"lines": 145,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
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} | function_simple |
openai/openai-python:src/openai/types/responses/tool_choice_mcp.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Optional
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ToolChoiceMcp"]
class ToolChoiceMcp(BaseModel):
"""
Use this option to force the model to call a specific tool... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/tool_choice_mcp.py",
"license": "Apache License 2.0",
"lines": 15,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | function_simple |
openai/openai-python:src/openai/types/responses/tool_choice_mcp_param.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing import Optional
from typing_extensions import Literal, Required, TypedDict
__all__ = ["ToolChoiceMcpParam"]
class ToolChoiceMcpParam(TypedDict, total=False):
"""
Use this opt... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/tool_choice_mcp_param.py",
"license": "Apache License 2.0",
"lines": 15,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
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} | function_simple |
openai/openai-python:src/openai/types/webhooks/batch_cancelled_webhook_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Optional
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["BatchCancelledWebhookEvent", "Data"]
class Data(BaseModel):
"""Event data payload."""
id: str
"""The uniq... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/webhooks/batch_cancelled_webhook_event.py",
"license": "Apache License 2.0",
"lines": 21,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
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} | function_simple |
openai/openai-python:src/openai/types/webhooks/batch_completed_webhook_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Optional
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["BatchCompletedWebhookEvent", "Data"]
class Data(BaseModel):
"""Event data payload."""
id: str
"""The uniq... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/webhooks/batch_completed_webhook_event.py",
"license": "Apache License 2.0",
"lines": 21,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | function_simple |
openai/openai-python:src/openai/types/webhooks/batch_expired_webhook_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Optional
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["BatchExpiredWebhookEvent", "Data"]
class Data(BaseModel):
"""Event data payload."""
id: str
"""The unique... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/webhooks/batch_expired_webhook_event.py",
"license": "Apache License 2.0",
"lines": 21,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
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"regex_pattern": "",
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} | function_simple |
openai/openai-python:src/openai/types/webhooks/batch_failed_webhook_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Optional
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["BatchFailedWebhookEvent", "Data"]
class Data(BaseModel):
"""Event data payload."""
id: str
"""The unique ... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/webhooks/batch_failed_webhook_event.py",
"license": "Apache License 2.0",
"lines": 21,
"canary_id": -1,
"canary_value": "",
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"provider": "",
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} | function_simple |
openai/openai-python:src/openai/types/webhooks/eval_run_canceled_webhook_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Optional
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["EvalRunCanceledWebhookEvent", "Data"]
class Data(BaseModel):
"""Event data payload."""
id: str
"""The uni... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/webhooks/eval_run_canceled_webhook_event.py",
"license": "Apache License 2.0",
"lines": 21,
"canary_id": -1,
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"provider": "",
"regex_pattern": "",
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} | function_simple |
openai/openai-python:src/openai/types/webhooks/eval_run_failed_webhook_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Optional
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["EvalRunFailedWebhookEvent", "Data"]
class Data(BaseModel):
"""Event data payload."""
id: str
"""The uniqu... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/webhooks/eval_run_failed_webhook_event.py",
"license": "Apache License 2.0",
"lines": 21,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | function_simple |
openai/openai-python:src/openai/types/webhooks/eval_run_succeeded_webhook_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Optional
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["EvalRunSucceededWebhookEvent", "Data"]
class Data(BaseModel):
"""Event data payload."""
id: str
"""The un... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/webhooks/eval_run_succeeded_webhook_event.py",
"license": "Apache License 2.0",
"lines": 21,
"canary_id": -1,
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openai/openai-python:src/openai/types/webhooks/fine_tuning_job_cancelled_webhook_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Optional
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["FineTuningJobCancelledWebhookEvent", "Data"]
class Data(BaseModel):
"""Event data payload."""
id: str
"""... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/webhooks/fine_tuning_job_cancelled_webhook_event.py",
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openai/openai-python:src/openai/types/webhooks/fine_tuning_job_failed_webhook_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Optional
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["FineTuningJobFailedWebhookEvent", "Data"]
class Data(BaseModel):
"""Event data payload."""
id: str
"""The... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/webhooks/fine_tuning_job_failed_webhook_event.py",
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openai/openai-python:src/openai/types/webhooks/fine_tuning_job_succeeded_webhook_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Optional
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["FineTuningJobSucceededWebhookEvent", "Data"]
class Data(BaseModel):
"""Event data payload."""
id: str
"""... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/webhooks/fine_tuning_job_succeeded_webhook_event.py",
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openai/openai-python:src/openai/types/webhooks/response_cancelled_webhook_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Optional
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseCancelledWebhookEvent", "Data"]
class Data(BaseModel):
"""Event data payload."""
id: str
"""The u... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/webhooks/response_cancelled_webhook_event.py",
"license": "Apache License 2.0",
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} | function_simple |
openai/openai-python:src/openai/types/webhooks/response_completed_webhook_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Optional
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseCompletedWebhookEvent", "Data"]
class Data(BaseModel):
"""Event data payload."""
id: str
"""The u... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/webhooks/response_completed_webhook_event.py",
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} | function_simple |
openai/openai-python:src/openai/types/webhooks/response_failed_webhook_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Optional
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseFailedWebhookEvent", "Data"]
class Data(BaseModel):
"""Event data payload."""
id: str
"""The uniq... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/webhooks/response_failed_webhook_event.py",
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openai/openai-python:src/openai/types/webhooks/response_incomplete_webhook_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Optional
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseIncompleteWebhookEvent", "Data"]
class Data(BaseModel):
"""Event data payload."""
id: str
"""The ... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/webhooks/response_incomplete_webhook_event.py",
"license": "Apache License 2.0",
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openai/openai-python:src/openai/types/webhooks/unwrap_webhook_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Union
from typing_extensions import Annotated, TypeAlias
from ..._utils import PropertyInfo
from .batch_failed_webhook_event import BatchFailedWebhookEvent
from .batch_expired_webhook_event import BatchExpiredWebh... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/webhooks/unwrap_webhook_event.py",
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} | function_simple |
openai/openai-python:tests/api_resources/test_webhooks.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
import os
from unittest import mock
import pytest
import openai
from openai._exceptions import InvalidWebhookSignatureError
base_url = os.environ.get("TEST_API_BASE_URL", "http://127.0.0.1:4010"... | {
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"file_path": "tests/api_resources/test_webhooks.py",
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openai/openai-python:src/openai/types/responses/response_input_item.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Dict, List, Union, Optional
from typing_extensions import Literal, Annotated, TypeAlias
from ..._utils import PropertyInfo
from ..._models import BaseModel
from .local_environment import LocalEnvironment
from .eas... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_input_item.py",
"license": "Apache License 2.0",
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"canary_value": "",
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} | documentation |
openai/openai-python:src/openai/types/responses/response_prompt.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Dict, Union, Optional
from typing_extensions import TypeAlias
from ..._models import BaseModel
from .response_input_file import ResponseInputFile
from .response_input_text import ResponseInputText
from .response_i... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_prompt.py",
"license": "Apache License 2.0",
"lines": 23,
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} | documentation |
openai/openai-python:src/openai/types/responses/response_prompt_param.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing import Dict, Union, Optional
from typing_extensions import Required, TypeAlias, TypedDict
from .response_input_file_param import ResponseInputFileParam
from .response_input_text_param ... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_prompt_param.py",
"license": "Apache License 2.0",
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} | documentation |
openai/openai-python:examples/responses/background.py | from typing import List
import rich
from pydantic import BaseModel
from openai import OpenAI
class Step(BaseModel):
explanation: str
output: str
class MathResponse(BaseModel):
steps: List[Step]
final_answer: str
client = OpenAI()
id = None
with client.responses.create(
input="solve 8x + 31 ... | {
"repo_id": "openai/openai-python",
"file_path": "examples/responses/background.py",
"license": "Apache License 2.0",
"lines": 35,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | function_simple |
openai/openai-python:examples/responses/background_async.py | import asyncio
from typing import List
import rich
from pydantic import BaseModel
from openai._client import AsyncOpenAI
class Step(BaseModel):
explanation: str
output: str
class MathResponse(BaseModel):
steps: List[Step]
final_answer: str
async def main() -> None:
client = AsyncOpenAI()
... | {
"repo_id": "openai/openai-python",
"file_path": "examples/responses/background_async.py",
"license": "Apache License 2.0",
"lines": 39,
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"canary_value": "",
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"regex_pattern": "",
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} | function_simple |
openai/openai-python:examples/responses/background_streaming.py | #!/usr/bin/env -S rye run python
from typing import List
import rich
from pydantic import BaseModel
from openai import OpenAI
class Step(BaseModel):
explanation: str
output: str
class MathResponse(BaseModel):
steps: List[Step]
final_answer: str
client = OpenAI()
id = None
with client.responses.s... | {
"repo_id": "openai/openai-python",
"file_path": "examples/responses/background_streaming.py",
"license": "Apache License 2.0",
"lines": 37,
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} | function_simple |
openai/openai-python:examples/responses/background_streaming_async.py | import asyncio
from typing import List
import rich
from pydantic import BaseModel
from openai import AsyncOpenAI
class Step(BaseModel):
explanation: str
output: str
class MathResponse(BaseModel):
steps: List[Step]
final_answer: str
async def main() -> None:
client = AsyncOpenAI()
id = No... | {
"repo_id": "openai/openai-python",
"file_path": "examples/responses/background_streaming_async.py",
"license": "Apache License 2.0",
"lines": 40,
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"pii_type": "",
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} | function_simple |
openai/openai-python:src/openai/resources/containers/containers.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing import Iterable
from typing_extensions import Literal
import httpx
from ... import _legacy_response
from ...types import container_list_params, container_create_params
from ..._types ... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/resources/containers/containers.py",
"license": "Apache License 2.0",
"lines": 448,
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} | function_complex |
openai/openai-python:src/openai/resources/containers/files/content.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
import httpx
from .... import _legacy_response
from ...._types import Body, Query, Headers, NotGiven, not_given
from ...._compat import cached_property
from ...._resource import SyncAPIResource, A... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/resources/containers/files/content.py",
"license": "Apache License 2.0",
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} | function_complex |
openai/openai-python:src/openai/resources/containers/files/files.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing import Mapping, cast
from typing_extensions import Literal
import httpx
from .... import _legacy_response
from .content import (
Content,
AsyncContent,
ContentWithRawRespo... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/resources/containers/files/files.py",
"license": "Apache License 2.0",
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"regex_pattern": "",
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} | function_complex |
openai/openai-python:src/openai/types/container_create_params.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing import Union, Iterable
from typing_extensions import Literal, Required, TypeAlias, TypedDict
from .._types import SequenceNotStr
from .responses.inline_skill_param import InlineSkillPa... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/container_create_params.py",
"license": "Apache License 2.0",
"lines": 32,
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} | function_simple |
openai/openai-python:src/openai/types/container_create_response.py | # 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
__all__ = ["ContainerCreateResponse", "ExpiresAfter", "NetworkPolicy"]
class ExpiresAfter(BaseModel):
"""
The contain... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/container_create_response.py",
"license": "Apache License 2.0",
"lines": 44,
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} | documentation |
openai/openai-python:src/openai/types/container_list_params.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing_extensions import Literal, TypedDict
__all__ = ["ContainerListParams"]
class ContainerListParams(TypedDict, total=False):
after: str
"""A cursor for use in pagination.
`... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/container_list_params.py",
"license": "Apache License 2.0",
"lines": 22,
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} | documentation |
openai/openai-python:src/openai/types/container_list_response.py | # 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
__all__ = ["ContainerListResponse", "ExpiresAfter", "NetworkPolicy"]
class ExpiresAfter(BaseModel):
"""
The container... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/container_list_response.py",
"license": "Apache License 2.0",
"lines": 44,
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openai/openai-python:src/openai/types/container_retrieve_response.py | # 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
__all__ = ["ContainerRetrieveResponse", "ExpiresAfter", "NetworkPolicy"]
class ExpiresAfter(BaseModel):
"""
The conta... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/container_retrieve_response.py",
"license": "Apache License 2.0",
"lines": 44,
"canary_id": -1,
"canary_value": "",
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} | documentation |
openai/openai-python:src/openai/types/containers/file_create_params.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing_extensions import TypedDict
from ..._types import FileTypes
__all__ = ["FileCreateParams"]
class FileCreateParams(TypedDict, total=False):
file: FileTypes
"""The File object... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/containers/file_create_params.py",
"license": "Apache License 2.0",
"lines": 10,
"canary_id": -1,
"canary_value": "",
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} | function_simple |
openai/openai-python:src/openai/types/containers/file_create_response.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["FileCreateResponse"]
class FileCreateResponse(BaseModel):
id: str
"""Unique identifier for the file."""
bytes: int
"""Size of the... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/containers/file_create_response.py",
"license": "Apache License 2.0",
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} | function_simple |
openai/openai-python:src/openai/types/containers/file_list_params.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing_extensions import Literal, TypedDict
__all__ = ["FileListParams"]
class FileListParams(TypedDict, total=False):
after: str
"""A cursor for use in pagination.
`after` is ... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/containers/file_list_params.py",
"license": "Apache License 2.0",
"lines": 20,
"canary_id": -1,
"canary_value": "",
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} | documentation |
openai/openai-python:src/openai/types/containers/file_list_response.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["FileListResponse"]
class FileListResponse(BaseModel):
id: str
"""Unique identifier for the file."""
bytes: int
"""Size of the fil... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/containers/file_list_response.py",
"license": "Apache License 2.0",
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openai/openai-python:src/openai/types/containers/file_retrieve_response.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["FileRetrieveResponse"]
class FileRetrieveResponse(BaseModel):
id: str
"""Unique identifier for the file."""
bytes: int
"""Size of... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/containers/file_retrieve_response.py",
"license": "Apache License 2.0",
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} | function_simple |
openai/openai-python:tests/api_resources/containers/files/test_content.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
import os
from typing import Any, cast
import httpx
import pytest
from respx import MockRouter
import openai._legacy_response as _legacy_response
from openai import OpenAI, AsyncOpenAI
from tests... | {
"repo_id": "openai/openai-python",
"file_path": "tests/api_resources/containers/files/test_content.py",
"license": "Apache License 2.0",
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"canary_id": -1,
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} | test |
openai/openai-python:tests/api_resources/containers/test_files.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
import os
from typing import Any, cast
import pytest
from openai import OpenAI, AsyncOpenAI
from tests.utils import assert_matches_type
from openai.pagination import SyncCursorPage, AsyncCursorPa... | {
"repo_id": "openai/openai-python",
"file_path": "tests/api_resources/containers/test_files.py",
"license": "Apache License 2.0",
"lines": 338,
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} | test |
openai/openai-python:tests/api_resources/test_containers.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
import os
from typing import Any, cast
import pytest
from openai import OpenAI, AsyncOpenAI
from tests.utils import assert_matches_type
from openai.types import (
ContainerListResponse,
C... | {
"repo_id": "openai/openai-python",
"file_path": "tests/api_resources/test_containers.py",
"license": "Apache License 2.0",
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openai/openai-python:src/openai/types/responses/response_code_interpreter_tool_call_param.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing import Union, Iterable, Optional
from typing_extensions import Literal, Required, TypeAlias, TypedDict
__all__ = ["ResponseCodeInterpreterToolCallParam", "Output", "OutputLogs", "Outpu... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_code_interpreter_tool_call_param.py",
"license": "Apache License 2.0",
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openai/openai-python:src/openai/types/responses/response_image_gen_call_completed_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseImageGenCallCompletedEvent"]
class ResponseImageGenCallCompletedEvent(BaseModel):
"""
Emitted when an image generation tool call h... | {
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"file_path": "src/openai/types/responses/response_image_gen_call_completed_event.py",
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openai/openai-python:src/openai/types/responses/response_image_gen_call_generating_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseImageGenCallGeneratingEvent"]
class ResponseImageGenCallGeneratingEvent(BaseModel):
"""
Emitted when an image generation tool call... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_image_gen_call_generating_event.py",
"license": "Apache License 2.0",
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} | documentation |
openai/openai-python:src/openai/types/responses/response_image_gen_call_in_progress_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseImageGenCallInProgressEvent"]
class ResponseImageGenCallInProgressEvent(BaseModel):
"""Emitted when an image generation tool call is i... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_image_gen_call_in_progress_event.py",
"license": "Apache License 2.0",
"lines": 14,
"canary_id": -1,
"canary_value": "",
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"provider": "",
"regex_pattern": "",
"repetition": -1,
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} | function_simple |
openai/openai-python:src/openai/types/responses/response_image_gen_call_partial_image_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseImageGenCallPartialImageEvent"]
class ResponseImageGenCallPartialImageEvent(BaseModel):
"""Emitted when a partial image is available d... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_image_gen_call_partial_image_event.py",
"license": "Apache License 2.0",
"lines": 21,
"canary_id": -1,
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} | documentation |
openai/openai-python:src/openai/types/responses/response_mcp_call_arguments_delta_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseMcpCallArgumentsDeltaEvent"]
class ResponseMcpCallArgumentsDeltaEvent(BaseModel):
"""
Emitted when there is a delta (partial updat... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_mcp_call_arguments_delta_event.py",
"license": "Apache License 2.0",
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} | documentation |
openai/openai-python:src/openai/types/responses/response_mcp_call_arguments_done_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseMcpCallArgumentsDoneEvent"]
class ResponseMcpCallArgumentsDoneEvent(BaseModel):
"""Emitted when the arguments for an MCP tool call are... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_mcp_call_arguments_done_event.py",
"license": "Apache License 2.0",
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} | function_simple |
openai/openai-python:src/openai/types/responses/response_mcp_call_completed_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseMcpCallCompletedEvent"]
class ResponseMcpCallCompletedEvent(BaseModel):
"""Emitted when an MCP tool call has completed successfully."... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_mcp_call_completed_event.py",
"license": "Apache License 2.0",
"lines": 14,
"canary_id": -1,
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} | function_simple |
openai/openai-python:src/openai/types/responses/response_mcp_call_failed_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseMcpCallFailedEvent"]
class ResponseMcpCallFailedEvent(BaseModel):
"""Emitted when an MCP tool call has failed."""
item_id: str
... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_mcp_call_failed_event.py",
"license": "Apache License 2.0",
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} | function_simple |
openai/openai-python:src/openai/types/responses/response_mcp_call_in_progress_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseMcpCallInProgressEvent"]
class ResponseMcpCallInProgressEvent(BaseModel):
"""Emitted when an MCP tool call is in progress."""
it... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_mcp_call_in_progress_event.py",
"license": "Apache License 2.0",
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} | function_simple |
openai/openai-python:src/openai/types/responses/response_mcp_list_tools_completed_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseMcpListToolsCompletedEvent"]
class ResponseMcpListToolsCompletedEvent(BaseModel):
"""Emitted when the list of available MCP tools has ... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_mcp_list_tools_completed_event.py",
"license": "Apache License 2.0",
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"canary_id": -1,
"canary_value": "",
"pii_type": "",
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} | function_simple |
openai/openai-python:src/openai/types/responses/response_mcp_list_tools_failed_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseMcpListToolsFailedEvent"]
class ResponseMcpListToolsFailedEvent(BaseModel):
"""Emitted when the attempt to list available MCP tools ha... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_mcp_list_tools_failed_event.py",
"license": "Apache License 2.0",
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"canary_id": -1,
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} | function_simple |
openai/openai-python:src/openai/types/responses/response_mcp_list_tools_in_progress_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseMcpListToolsInProgressEvent"]
class ResponseMcpListToolsInProgressEvent(BaseModel):
"""
Emitted when the system is in the process ... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_mcp_list_tools_in_progress_event.py",
"license": "Apache License 2.0",
"lines": 16,
"canary_id": -1,
"canary_value": "",
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} | documentation |
openai/openai-python:src/openai/types/responses/response_output_text_annotation_added_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ResponseOutputTextAnnotationAddedEvent"]
class ResponseOutputTextAnnotationAddedEvent(BaseModel):
"""Emitted when an annotation is added to ou... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_output_text_annotation_added_event.py",
"license": "Apache License 2.0",
"lines": 20,
"canary_id": -1,
"canary_value": "",
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"regex_pattern": "",
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} | function_simple |
openai/openai-python:src/openai/types/responses/response_queued_event.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing_extensions import Literal
from .response import Response
from ..._models import BaseModel
__all__ = ["ResponseQueuedEvent"]
class ResponseQueuedEvent(BaseModel):
"""Emitted when a response is queued and waiting to... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/responses/response_queued_event.py",
"license": "Apache License 2.0",
"lines": 13,
"canary_id": -1,
"canary_value": "",
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"regex_pattern": "",
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} | function_simple |
openai/openai-python:src/openai/_utils/_resources_proxy.py | from __future__ import annotations
from typing import Any
from typing_extensions import override
from ._proxy import LazyProxy
class ResourcesProxy(LazyProxy[Any]):
"""A proxy for the `openai.resources` module.
This is used so that we can lazily import `openai.resources` only when
needed *and* so that ... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/_utils/_resources_proxy.py",
"license": "Apache License 2.0",
"lines": 15,
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} | function_simple |
openai/openai-python:src/openai/resources/fine_tuning/alpha/alpha.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from .graders import (
Graders,
AsyncGraders,
GradersWithRawResponse,
AsyncGradersWithRawResponse,
GradersWithStreamingResponse,
AsyncGradersWithStreamingResponse,
)
from ..... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/resources/fine_tuning/alpha/alpha.py",
"license": "Apache License 2.0",
"lines": 75,
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} | function_simple |
openai/openai-python:src/openai/resources/fine_tuning/alpha/graders.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
import httpx
from .... import _legacy_response
from ...._types import Body, Omit, Query, Headers, NotGiven, omit, not_given
from ...._utils import maybe_transform, async_maybe_transform
from ...._... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/resources/fine_tuning/alpha/graders.py",
"license": "Apache License 2.0",
"lines": 228,
"canary_id": -1,
"canary_value": "",
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} | function_complex |
openai/openai-python:src/openai/types/fine_tuning/alpha/grader_run_params.py | # 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 Required, TypeAlias, TypedDict
from ...graders.multi_grader_param import MultiGraderParam
from ...graders.python_grader_param import PythonGr... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/fine_tuning/alpha/grader_run_params.py",
"license": "Apache License 2.0",
"lines": 28,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
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"regex_pattern": "",
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} | function_simple |
openai/openai-python:src/openai/types/fine_tuning/alpha/grader_run_response.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Dict, Optional
from pydantic import Field as FieldInfo
from ...._models import BaseModel
__all__ = ["GraderRunResponse", "Metadata", "MetadataErrors"]
class MetadataErrors(BaseModel):
formula_parse_error: ... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/fine_tuning/alpha/grader_run_response.py",
"license": "Apache License 2.0",
"lines": 35,
"canary_id": -1,
"canary_value": "",
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} | function_simple |
openai/openai-python:src/openai/types/fine_tuning/alpha/grader_validate_params.py | # 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 Required, TypeAlias, TypedDict
from ...graders.multi_grader_param import MultiGraderParam
from ...graders.python_grader_param import PythonGr... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/fine_tuning/alpha/grader_validate_params.py",
"license": "Apache License 2.0",
"lines": 16,
"canary_id": -1,
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} | function_simple |
openai/openai-python:src/openai/types/fine_tuning/alpha/grader_validate_response.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Union, Optional
from typing_extensions import TypeAlias
from ...._models import BaseModel
from ...graders.multi_grader import MultiGrader
from ...graders.python_grader import PythonGrader
from ...graders.score_mod... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/fine_tuning/alpha/grader_validate_response.py",
"license": "Apache License 2.0",
"lines": 14,
"canary_id": -1,
"canary_value": "",
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} | function_simple |
openai/openai-python:src/openai/types/fine_tuning/dpo_hyperparameters.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Union
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["DpoHyperparameters"]
class DpoHyperparameters(BaseModel):
"""The hyperparameters used for the DPO fine-tuning job."""... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/fine_tuning/dpo_hyperparameters.py",
"license": "Apache License 2.0",
"lines": 25,
"canary_id": -1,
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} | documentation |
openai/openai-python:src/openai/types/fine_tuning/dpo_hyperparameters_param.py | # 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, TypedDict
__all__ = ["DpoHyperparametersParam"]
class DpoHyperparametersParam(TypedDict, total=False):
"""The hyperparameters ... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/fine_tuning/dpo_hyperparameters_param.py",
"license": "Apache License 2.0",
"lines": 25,
"canary_id": -1,
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} | documentation |
openai/openai-python:src/openai/types/fine_tuning/dpo_method.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Optional
from ..._models import BaseModel
from .dpo_hyperparameters import DpoHyperparameters
__all__ = ["DpoMethod"]
class DpoMethod(BaseModel):
"""Configuration for the DPO fine-tuning method."""
hyp... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/fine_tuning/dpo_method.py",
"license": "Apache License 2.0",
"lines": 9,
"canary_id": -1,
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} | function_simple |
openai/openai-python:src/openai/types/fine_tuning/dpo_method_param.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing_extensions import TypedDict
from .dpo_hyperparameters_param import DpoHyperparametersParam
__all__ = ["DpoMethodParam"]
class DpoMethodParam(TypedDict, total=False):
"""Configur... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/fine_tuning/dpo_method_param.py",
"license": "Apache License 2.0",
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openai/openai-python:src/openai/types/fine_tuning/reinforcement_hyperparameters.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Union, Optional
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["ReinforcementHyperparameters"]
class ReinforcementHyperparameters(BaseModel):
"""The hyperparameters used f... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/fine_tuning/reinforcement_hyperparameters.py",
"license": "Apache License 2.0",
"lines": 30,
"canary_id": -1,
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openai/openai-python:src/openai/types/fine_tuning/reinforcement_hyperparameters_param.py | # 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, TypedDict
__all__ = ["ReinforcementHyperparametersParam"]
class ReinforcementHyperparametersParam(TypedDict, total=False):
"""... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/fine_tuning/reinforcement_hyperparameters_param.py",
"license": "Apache License 2.0",
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openai/openai-python:src/openai/types/fine_tuning/reinforcement_method.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Union, Optional
from typing_extensions import TypeAlias
from ..._models import BaseModel
from ..graders.multi_grader import MultiGrader
from ..graders.python_grader import PythonGrader
from ..graders.score_model_g... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/fine_tuning/reinforcement_method.py",
"license": "Apache License 2.0",
"lines": 18,
"canary_id": -1,
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} | function_simple |
openai/openai-python:src/openai/types/fine_tuning/reinforcement_method_param.py | # 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 Required, TypeAlias, TypedDict
from ..graders.multi_grader_param import MultiGraderParam
from ..graders.python_grader_param import PythonGrad... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/fine_tuning/reinforcement_method_param.py",
"license": "Apache License 2.0",
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openai/openai-python:src/openai/types/fine_tuning/supervised_hyperparameters.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Union
from typing_extensions import Literal
from ..._models import BaseModel
__all__ = ["SupervisedHyperparameters"]
class SupervisedHyperparameters(BaseModel):
"""The hyperparameters used for the fine-tuni... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/fine_tuning/supervised_hyperparameters.py",
"license": "Apache License 2.0",
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"canary_id": -1,
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} | documentation |
openai/openai-python:src/openai/types/fine_tuning/supervised_hyperparameters_param.py | # 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, TypedDict
__all__ = ["SupervisedHyperparametersParam"]
class SupervisedHyperparametersParam(TypedDict, total=False):
"""The hy... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/fine_tuning/supervised_hyperparameters_param.py",
"license": "Apache License 2.0",
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} | documentation |
openai/openai-python:src/openai/types/fine_tuning/supervised_method.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Optional
from ..._models import BaseModel
from .supervised_hyperparameters import SupervisedHyperparameters
__all__ = ["SupervisedMethod"]
class SupervisedMethod(BaseModel):
"""Configuration for the supervi... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/fine_tuning/supervised_method.py",
"license": "Apache License 2.0",
"lines": 9,
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} | function_simple |
openai/openai-python:src/openai/types/fine_tuning/supervised_method_param.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing_extensions import TypedDict
from .supervised_hyperparameters_param import SupervisedHyperparametersParam
__all__ = ["SupervisedMethodParam"]
class SupervisedMethodParam(TypedDict, t... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/fine_tuning/supervised_method_param.py",
"license": "Apache License 2.0",
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openai/openai-python:src/openai/types/graders/label_model_grader_param.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing import Union, Iterable
from typing_extensions import Literal, Required, TypeAlias, TypedDict
from ..._types import SequenceNotStr
from .grader_inputs_param import GraderInputsParam
fro... | {
"repo_id": "openai/openai-python",
"file_path": "src/openai/types/graders/label_model_grader_param.py",
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openai/openai-python:src/openai/types/graders/multi_grader.py | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from typing import Union
from typing_extensions import Literal, TypeAlias
from ..._models import BaseModel
from .python_grader import PythonGrader
from .label_model_grader import LabelModelGrader
from .score_model_grader import Scor... | {
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