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增加环绕侦察场景适配

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huangfu
2026-01-08 15:44:38 +08:00
parent 3eba1f962b
commit 10c5bb5a8a
5441 changed files with 40219 additions and 379695 deletions
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332
backend_service/venv/lib/python3.13/site-packages/openai/resources/responses/responses.py
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@@ -2,6 +2,7 @@
from __future__ import annotations
from copy import copy
from typing import Any, List, Type, Union, Iterable, Optional, cast
from functools import partial
from typing_extensions import Literal, overload
@@ -33,7 +34,11 @@ from .input_tokens import (
AsyncInputTokensWithStreamingResponse,
)
from ..._base_client import make_request_options
from ...types.responses import response_create_params, response_retrieve_params
from ...types.responses import (
response_create_params,
response_compact_params,
response_retrieve_params,
)
from ...lib._parsing._responses import (
TextFormatT,
parse_response,
@@ -45,11 +50,13 @@ from ...types.shared_params.metadata import Metadata
from ...types.shared_params.reasoning import Reasoning
from ...types.responses.parsed_response import ParsedResponse
from ...lib.streaming.responses._responses import ResponseStreamManager, AsyncResponseStreamManager
from ...types.responses.compacted_response import CompactedResponse
from ...types.responses.response_includable import ResponseIncludable
from ...types.shared_params.responses_model import ResponsesModel
from ...types.responses.response_input_param import ResponseInputParam
from ...types.responses.response_prompt_param import ResponsePromptParam
from ...types.responses.response_stream_event import ResponseStreamEvent
from ...types.responses.response_input_item_param import ResponseInputItemParam
from ...types.responses.response_text_config_param import ResponseTextConfigParam
__all__ = ["Responses", "AsyncResponses"]
@@ -1046,6 +1053,7 @@ class Responses(SyncAPIResource):
if "format" in text:
raise TypeError("Cannot mix and match text.format with text_format")
text = copy(text)
text["format"] = _type_to_text_format_param(text_format)
api_request: partial[Stream[ResponseStreamEvent]] = partial(
@@ -1151,7 +1159,7 @@ class Responses(SyncAPIResource):
if "format" in text:
raise TypeError("Cannot mix and match text.format with text_format")
text = copy(text)
text["format"] = _type_to_text_format_param(text_format)
tools = _make_tools(tools)
@@ -1515,6 +1523,158 @@ class Responses(SyncAPIResource):
cast_to=Response,
)
def compact(
self,
*,
model: Union[
Literal[
"gpt-5.2",
"gpt-5.2-2025-12-11",
"gpt-5.2-chat-latest",
"gpt-5.2-pro",
"gpt-5.2-pro-2025-12-11",
"gpt-5.1",
"gpt-5.1-2025-11-13",
"gpt-5.1-codex",
"gpt-5.1-mini",
"gpt-5.1-chat-latest",
"gpt-5",
"gpt-5-mini",
"gpt-5-nano",
"gpt-5-2025-08-07",
"gpt-5-mini-2025-08-07",
"gpt-5-nano-2025-08-07",
"gpt-5-chat-latest",
"gpt-4.1",
"gpt-4.1-mini",
"gpt-4.1-nano",
"gpt-4.1-2025-04-14",
"gpt-4.1-mini-2025-04-14",
"gpt-4.1-nano-2025-04-14",
"o4-mini",
"o4-mini-2025-04-16",
"o3",
"o3-2025-04-16",
"o3-mini",
"o3-mini-2025-01-31",
"o1",
"o1-2024-12-17",
"o1-preview",
"o1-preview-2024-09-12",
"o1-mini",
"o1-mini-2024-09-12",
"gpt-4o",
"gpt-4o-2024-11-20",
"gpt-4o-2024-08-06",
"gpt-4o-2024-05-13",
"gpt-4o-audio-preview",
"gpt-4o-audio-preview-2024-10-01",
"gpt-4o-audio-preview-2024-12-17",
"gpt-4o-audio-preview-2025-06-03",
"gpt-4o-mini-audio-preview",
"gpt-4o-mini-audio-preview-2024-12-17",
"gpt-4o-search-preview",
"gpt-4o-mini-search-preview",
"gpt-4o-search-preview-2025-03-11",
"gpt-4o-mini-search-preview-2025-03-11",
"chatgpt-4o-latest",
"codex-mini-latest",
"gpt-4o-mini",
"gpt-4o-mini-2024-07-18",
"gpt-4-turbo",
"gpt-4-turbo-2024-04-09",
"gpt-4-0125-preview",
"gpt-4-turbo-preview",
"gpt-4-1106-preview",
"gpt-4-vision-preview",
"gpt-4",
"gpt-4-0314",
"gpt-4-0613",
"gpt-4-32k",
"gpt-4-32k-0314",
"gpt-4-32k-0613",
"gpt-3.5-turbo",
"gpt-3.5-turbo-16k",
"gpt-3.5-turbo-0301",
"gpt-3.5-turbo-0613",
"gpt-3.5-turbo-1106",
"gpt-3.5-turbo-0125",
"gpt-3.5-turbo-16k-0613",
"o1-pro",
"o1-pro-2025-03-19",
"o3-pro",
"o3-pro-2025-06-10",
"o3-deep-research",
"o3-deep-research-2025-06-26",
"o4-mini-deep-research",
"o4-mini-deep-research-2025-06-26",
"computer-use-preview",
"computer-use-preview-2025-03-11",
"gpt-5-codex",
"gpt-5-pro",
"gpt-5-pro-2025-10-06",
"gpt-5.1-codex-max",
],
str,
None,
],
input: Union[str, Iterable[ResponseInputItemParam], None] | Omit = omit,
instructions: Optional[str] | Omit = omit,
previous_response_id: Optional[str] | Omit = omit,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx.Timeout | None | NotGiven = not_given,
) -> CompactedResponse:
"""
Compact conversation
Args:
model: Model ID used to generate the response, like `gpt-5` or `o3`. OpenAI offers a
wide range of models with different capabilities, performance characteristics,
and price points. Refer to the
[model guide](https://platform.openai.com/docs/models) to browse and compare
available models.
input: Text, image, or file inputs to the model, used to generate a response
instructions: A system (or developer) message inserted into the model's context. When used
along with `previous_response_id`, the instructions from a previous response
will not be carried over to the next response. This makes it simple to swap out
system (or developer) messages in new responses.
previous_response_id: The unique ID of the previous response to the model. Use this to create
multi-turn conversations. Learn more about
[conversation state](https://platform.openai.com/docs/guides/conversation-state).
Cannot be used in conjunction with `conversation`.
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
return self._post(
"/responses/compact",
body=maybe_transform(
{
"model": model,
"input": input,
"instructions": instructions,
"previous_response_id": previous_response_id,
},
response_compact_params.ResponseCompactParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=CompactedResponse,
)
class AsyncResponses(AsyncAPIResource):
@cached_property
@@ -2507,7 +2667,7 @@ class AsyncResponses(AsyncAPIResource):
if "format" in text:
raise TypeError("Cannot mix and match text.format with text_format")
text = copy(text)
text["format"] = _type_to_text_format_param(text_format)
api_request = self.create(
@@ -2617,7 +2777,7 @@ class AsyncResponses(AsyncAPIResource):
if "format" in text:
raise TypeError("Cannot mix and match text.format with text_format")
text = copy(text)
text["format"] = _type_to_text_format_param(text_format)
tools = _make_tools(tools)
@@ -2981,6 +3141,158 @@ class AsyncResponses(AsyncAPIResource):
cast_to=Response,
)
async def compact(
self,
*,
model: Union[
Literal[
"gpt-5.2",
"gpt-5.2-2025-12-11",
"gpt-5.2-chat-latest",
"gpt-5.2-pro",
"gpt-5.2-pro-2025-12-11",
"gpt-5.1",
"gpt-5.1-2025-11-13",
"gpt-5.1-codex",
"gpt-5.1-mini",
"gpt-5.1-chat-latest",
"gpt-5",
"gpt-5-mini",
"gpt-5-nano",
"gpt-5-2025-08-07",
"gpt-5-mini-2025-08-07",
"gpt-5-nano-2025-08-07",
"gpt-5-chat-latest",
"gpt-4.1",
"gpt-4.1-mini",
"gpt-4.1-nano",
"gpt-4.1-2025-04-14",
"gpt-4.1-mini-2025-04-14",
"gpt-4.1-nano-2025-04-14",
"o4-mini",
"o4-mini-2025-04-16",
"o3",
"o3-2025-04-16",
"o3-mini",
"o3-mini-2025-01-31",
"o1",
"o1-2024-12-17",
"o1-preview",
"o1-preview-2024-09-12",
"o1-mini",
"o1-mini-2024-09-12",
"gpt-4o",
"gpt-4o-2024-11-20",
"gpt-4o-2024-08-06",
"gpt-4o-2024-05-13",
"gpt-4o-audio-preview",
"gpt-4o-audio-preview-2024-10-01",
"gpt-4o-audio-preview-2024-12-17",
"gpt-4o-audio-preview-2025-06-03",
"gpt-4o-mini-audio-preview",
"gpt-4o-mini-audio-preview-2024-12-17",
"gpt-4o-search-preview",
"gpt-4o-mini-search-preview",
"gpt-4o-search-preview-2025-03-11",
"gpt-4o-mini-search-preview-2025-03-11",
"chatgpt-4o-latest",
"codex-mini-latest",
"gpt-4o-mini",
"gpt-4o-mini-2024-07-18",
"gpt-4-turbo",
"gpt-4-turbo-2024-04-09",
"gpt-4-0125-preview",
"gpt-4-turbo-preview",
"gpt-4-1106-preview",
"gpt-4-vision-preview",
"gpt-4",
"gpt-4-0314",
"gpt-4-0613",
"gpt-4-32k",
"gpt-4-32k-0314",
"gpt-4-32k-0613",
"gpt-3.5-turbo",
"gpt-3.5-turbo-16k",
"gpt-3.5-turbo-0301",
"gpt-3.5-turbo-0613",
"gpt-3.5-turbo-1106",
"gpt-3.5-turbo-0125",
"gpt-3.5-turbo-16k-0613",
"o1-pro",
"o1-pro-2025-03-19",
"o3-pro",
"o3-pro-2025-06-10",
"o3-deep-research",
"o3-deep-research-2025-06-26",
"o4-mini-deep-research",
"o4-mini-deep-research-2025-06-26",
"computer-use-preview",
"computer-use-preview-2025-03-11",
"gpt-5-codex",
"gpt-5-pro",
"gpt-5-pro-2025-10-06",
"gpt-5.1-codex-max",
],
str,
None,
],
input: Union[str, Iterable[ResponseInputItemParam], None] | Omit = omit,
instructions: Optional[str] | Omit = omit,
previous_response_id: Optional[str] | Omit = omit,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx.Timeout | None | NotGiven = not_given,
) -> CompactedResponse:
"""
Compact conversation
Args:
model: Model ID used to generate the response, like `gpt-5` or `o3`. OpenAI offers a
wide range of models with different capabilities, performance characteristics,
and price points. Refer to the
[model guide](https://platform.openai.com/docs/models) to browse and compare
available models.
input: Text, image, or file inputs to the model, used to generate a response
instructions: A system (or developer) message inserted into the model's context. When used
along with `previous_response_id`, the instructions from a previous response
will not be carried over to the next response. This makes it simple to swap out
system (or developer) messages in new responses.
previous_response_id: The unique ID of the previous response to the model. Use this to create
multi-turn conversations. Learn more about
[conversation state](https://platform.openai.com/docs/guides/conversation-state).
Cannot be used in conjunction with `conversation`.
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
return await self._post(
"/responses/compact",
body=await async_maybe_transform(
{
"model": model,
"input": input,
"instructions": instructions,
"previous_response_id": previous_response_id,
},
response_compact_params.ResponseCompactParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=CompactedResponse,
)
class ResponsesWithRawResponse:
def __init__(self, responses: Responses) -> None:
@@ -2998,6 +3310,9 @@ class ResponsesWithRawResponse:
self.cancel = _legacy_response.to_raw_response_wrapper(
responses.cancel,
)
self.compact = _legacy_response.to_raw_response_wrapper(
responses.compact,
)
self.parse = _legacy_response.to_raw_response_wrapper(
responses.parse,
)
@@ -3027,6 +3342,9 @@ class AsyncResponsesWithRawResponse:
self.cancel = _legacy_response.async_to_raw_response_wrapper(
responses.cancel,
)
self.compact = _legacy_response.async_to_raw_response_wrapper(
responses.compact,
)
self.parse = _legacy_response.async_to_raw_response_wrapper(
responses.parse,
)
@@ -3056,6 +3374,9 @@ class ResponsesWithStreamingResponse:
self.cancel = to_streamed_response_wrapper(
responses.cancel,
)
self.compact = to_streamed_response_wrapper(
responses.compact,
)
@cached_property
def input_items(self) -> InputItemsWithStreamingResponse:
@@ -3082,6 +3403,9 @@ class AsyncResponsesWithStreamingResponse:
self.cancel = async_to_streamed_response_wrapper(
responses.cancel,
)
self.compact = async_to_streamed_response_wrapper(
responses.compact,
)
@cached_property
def input_items(self) -> AsyncInputItemsWithStreamingResponse: