From 713a18b8ea5dd1e4fc7de9d8de996d1b30d910c7 Mon Sep 17 00:00:00 2001 From: csgulati09 Date: Mon, 10 Nov 2025 18:47:03 +0530 Subject: [PATCH] vendoring openai 2.7.1 --- portkey_ai/__init__.py | 4 + .../INSTALLER | 0 .../METADATA | 14 +- .../RECORD | 2110 +++++++++-------- .../REQUESTED | 0 .../WHEEL | 0 .../entry_points.txt | 0 .../licenses/LICENSE | 0 portkey_ai/_vendor/openai/_streaming.py | 10 +- portkey_ai/_vendor/openai/_utils/_utils.py | 2 +- portkey_ai/_vendor/openai/_version.py | 2 +- .../openai/resources/audio/transcriptions.py | 284 ++- .../openai/resources/audio/translations.py | 8 +- .../openai/resources/beta/assistants.py | 12 + .../openai/resources/beta/chatkit/chatkit.py | 125 - .../resources/beta/threads/runs/runs.py | 18 + .../resources/chat/completions/completions.py | 18 + portkey_ai/_vendor/openai/resources/files.py | 58 +- .../openai/resources/realtime/calls.py | 30 +- .../openai/resources/responses/__init__.py | 14 + .../resources/responses/input_tokens.py | 309 +++ .../openai/resources/responses/responses.py | 32 + .../openai/resources/uploads/uploads.py | 6 +- .../resources/vector_stores/file_batches.py | 40 +- .../resources/vector_stores/vector_stores.py | 10 + .../_vendor/openai/types/audio/__init__.py | 3 + .../audio/transcription_create_params.py | 41 +- .../audio/transcription_create_response.py | 3 +- .../types/audio/transcription_diarized.py | 63 + .../audio/transcription_diarized_segment.py | 32 + .../types/audio/transcription_stream_event.py | 4 +- .../audio/transcription_text_delta_event.py | 6 + .../audio/transcription_text_segment_event.py | 27 + .../_vendor/openai/types/audio_model.py | 2 +- .../openai/types/audio_response_format.py | 2 +- .../_vendor/openai/types/beta/__init__.py | 4 - .../types/beta/assistant_create_params.py | 3 + .../types/beta/assistant_update_params.py | 3 + .../types/beta/chatkit_upload_file_params.py | 17 - .../beta/chatkit_upload_file_response.py | 12 - .../_vendor/openai/types/beta/file_part.py | 28 - .../_vendor/openai/types/beta/image_part.py | 31 - .../types/beta/threads/run_create_params.py | 3 + .../types/chat/completion_create_params.py | 3 + ...create_eval_completions_run_data_source.py | 3 + ..._eval_completions_run_data_source_param.py | 3 + .../openai/types/evals/run_cancel_response.py | 6 + .../openai/types/evals/run_create_params.py | 6 + .../openai/types/evals/run_create_response.py | 6 + .../openai/types/evals/run_list_response.py | 6 + .../types/evals/run_retrieve_response.py | 6 + .../types/graders/score_model_grader.py | 3 + .../types/graders/score_model_grader_param.py | 3 + .../types/realtime/audio_transcription.py | 15 +- .../realtime/audio_transcription_param.py | 11 +- .../types/realtime/call_accept_params.py | 15 +- .../realtime_session_create_request.py | 15 +- .../realtime_session_create_request_param.py | 15 +- .../realtime_session_create_response.py | 15 +- .../realtime_truncation_retention_ratio.py | 26 +- ...altime_truncation_retention_ratio_param.py | 25 +- .../openai/types/responses/__init__.py | 2 + .../types/responses/file_search_tool.py | 16 +- .../types/responses/file_search_tool_param.py | 16 +- .../responses/input_token_count_params.py | 138 ++ .../responses/input_token_count_response.py | 13 + .../response_code_interpreter_tool_call.py | 4 +- ...sponse_code_interpreter_tool_call_param.py | 4 +- .../responses/response_computer_tool_call.py | 11 +- ...response_computer_tool_call_output_item.py | 4 +- .../response_computer_tool_call_param.py | 11 +- .../types/responses/response_includable.py | 8 +- .../types/responses/response_input_content.py | 4 +- .../responses/response_input_content_param.py | 5 +- ...sponse_input_message_content_list_param.py | 5 +- .../_vendor/openai/types/responses/tool.py | 2 + .../openai/types/responses/tool_param.py | 2 + .../openai/types/shared/comparison_filter.py | 10 +- .../_vendor/openai/types/shared/reasoning.py | 5 + .../types/shared_params/comparison_filter.py | 10 +- .../openai/types/shared_params/reasoning.py | 5 + .../types/vector_store_create_params.py | 6 + .../vector_stores/file_batch_create_params.py | 40 +- .../types/vector_stores/vector_store_file.py | 2 +- portkey_ai/_vendor/openai/types/video.py | 3 + portkey_ai/api_resources/__init__.py | 4 + portkey_ai/api_resources/apis/__init__.py | 4 + portkey_ai/api_resources/apis/chatkit.py | 40 - portkey_ai/api_resources/apis/responses.py | 114 +- .../types/responses_input_tokens_type.py | 25 + vendorize.toml | 2 +- 91 files changed, 2580 insertions(+), 1507 deletions(-) rename portkey_ai/_vendor/{openai-2.2.0.dist-info => openai-2.7.1.dist-info}/INSTALLER (100%) rename portkey_ai/_vendor/{openai-2.2.0.dist-info => openai-2.7.1.dist-info}/METADATA (98%) rename portkey_ai/_vendor/{openai-2.2.0.dist-info => openai-2.7.1.dist-info}/RECORD (77%) rename portkey_ai/_vendor/{openai-2.2.0.dist-info => openai-2.7.1.dist-info}/REQUESTED (100%) rename portkey_ai/_vendor/{openai-2.2.0.dist-info => openai-2.7.1.dist-info}/WHEEL (100%) rename portkey_ai/_vendor/{openai-2.2.0.dist-info => openai-2.7.1.dist-info}/entry_points.txt (100%) rename portkey_ai/_vendor/{openai-2.2.0.dist-info => openai-2.7.1.dist-info}/licenses/LICENSE (100%) create mode 100644 portkey_ai/_vendor/openai/resources/responses/input_tokens.py create mode 100644 portkey_ai/_vendor/openai/types/audio/transcription_diarized.py create mode 100644 portkey_ai/_vendor/openai/types/audio/transcription_diarized_segment.py create mode 100644 portkey_ai/_vendor/openai/types/audio/transcription_text_segment_event.py delete mode 100644 portkey_ai/_vendor/openai/types/beta/chatkit_upload_file_params.py delete mode 100644 portkey_ai/_vendor/openai/types/beta/chatkit_upload_file_response.py delete mode 100644 portkey_ai/_vendor/openai/types/beta/file_part.py delete mode 100644 portkey_ai/_vendor/openai/types/beta/image_part.py create mode 100644 portkey_ai/_vendor/openai/types/responses/input_token_count_params.py create mode 100644 portkey_ai/_vendor/openai/types/responses/input_token_count_response.py create mode 100644 portkey_ai/api_resources/types/responses_input_tokens_type.py diff --git a/portkey_ai/__init__.py b/portkey_ai/__init__.py index 10479a8b..976a2143 100644 --- a/portkey_ai/__init__.py +++ b/portkey_ai/__init__.py @@ -155,6 +155,8 @@ AsyncChatKitThreads, Calls, AsyncCalls, + InputTokens, + AsyncInputTokens, ) from portkey_ai.version import VERSION @@ -329,4 +331,6 @@ "AsyncChatKitThreads", "Calls", "AsyncCalls", + "InputTokens", + "AsyncInputTokens", ] diff --git a/portkey_ai/_vendor/openai-2.2.0.dist-info/INSTALLER b/portkey_ai/_vendor/openai-2.7.1.dist-info/INSTALLER similarity index 100% rename from portkey_ai/_vendor/openai-2.2.0.dist-info/INSTALLER rename to portkey_ai/_vendor/openai-2.7.1.dist-info/INSTALLER diff --git a/portkey_ai/_vendor/openai-2.2.0.dist-info/METADATA b/portkey_ai/_vendor/openai-2.7.1.dist-info/METADATA similarity index 98% rename from portkey_ai/_vendor/openai-2.2.0.dist-info/METADATA rename to portkey_ai/_vendor/openai-2.7.1.dist-info/METADATA index 85b41970..110ee06c 100644 --- a/portkey_ai/_vendor/openai-2.2.0.dist-info/METADATA +++ b/portkey_ai/_vendor/openai-2.7.1.dist-info/METADATA @@ -1,6 +1,6 @@ Metadata-Version: 2.3 Name: openai -Version: 2.2.0 +Version: 2.7.1 Summary: The official Python library for the openai API Project-URL: Homepage, https://github.com/openai/openai-python Project-URL: Repository, https://github.com/openai/openai-python @@ -25,14 +25,14 @@ Requires-Python: >=3.8 Requires-Dist: anyio<5,>=3.5.0 Requires-Dist: distro<2,>=1.7.0 Requires-Dist: httpx<1,>=0.23.0 -Requires-Dist: jiter<1,>=0.4.0 +Requires-Dist: jiter<1,>=0.10.0 Requires-Dist: pydantic<3,>=1.9.0 Requires-Dist: sniffio Requires-Dist: tqdm>4 Requires-Dist: typing-extensions<5,>=4.11 Provides-Extra: aiohttp Requires-Dist: aiohttp; extra == 'aiohttp' -Requires-Dist: httpx-aiohttp>=0.1.8; extra == 'aiohttp' +Requires-Dist: httpx-aiohttp>=0.1.9; extra == 'aiohttp' Provides-Extra: datalib Requires-Dist: numpy>=1; extra == 'datalib' Requires-Dist: pandas-stubs>=1.1.0.11; extra == 'datalib' @@ -290,7 +290,9 @@ async def main(): client = AsyncOpenAI() async with client.realtime.connect(model="gpt-realtime") as connection: - await connection.session.update(session={'modalities': ['text']}) + await connection.session.update( + session={"type": "realtime", "output_modalities": ["text"]} + ) await connection.conversation.item.create( item={ @@ -302,10 +304,10 @@ async def main(): await connection.response.create() async for event in connection: - if event.type == 'response.text.delta': + if event.type == "response.output_text.delta": print(event.delta, flush=True, end="") - elif event.type == 'response.text.done': + elif event.type == "response.output_text.done": print() elif event.type == "response.done": diff --git a/portkey_ai/_vendor/openai-2.2.0.dist-info/RECORD 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-openai/types/chat/completion_create_params.py,sha256=KM9_hrGMpifTmzvO9S2GU71Xlhl7zSDxm5yl8P9VFtM,17246 +openai/types/chat/completion_create_params.py,sha256=EQc4KD_erAgdA5G-J9QxlIpFk3iNVbRCidco754tbfw,17340 openai/types/chat/completion_list_params.py,sha256=jOAiZ6vYSrxyD-3qzIXvXofJkejl6bet9_yNsC9p5ws,1154 openai/types/chat/completion_update_params.py,sha256=VRDF28qoonjrveHhw8BT4Yo_NlLsV2Qzd_KUUQ6AEG8,742 openai/types/chat/completions/__init__.py,sha256=nmKlohYbZmr7Pzv1qCDMSDbthcH6ySPFIgvXpHZtxK8,195 @@ -1466,18 +1468,18 @@ openai/types/eval_stored_completions_data_source_config.py,sha256=7CYy14MMLj6HBJ openai/types/eval_update_params.py,sha256=Wooz-3SDznbC3ihrhOs-10y9cxpTKGQgobDLfZ-23c0,757 openai/types/eval_update_response.py,sha256=D9ItfznRN1jwp_w48r-i4jvH1_h2uiSpleHePrVigJs,3531 openai/types/evals/__init__.py,sha256=wiXRqdkT-SkjE0Sgv6MixeECZjF0xaoCPdSGFEh0rEs,1193 -openai/types/evals/create_eval_completions_run_data_source.py,sha256=vz4ZTUyHKjsEv6U1yeKlwzAgobnmj0UfZuXyU4OdiKE,7817 -openai/types/evals/create_eval_completions_run_data_source_param.py,sha256=VGvohk9Vhe1BNktpLcZpnxQf9yvKCMO1sn3xPkjbzgw,7888 +openai/types/evals/create_eval_completions_run_data_source.py,sha256=cQn9zxSIlGOHc6Pnp3BPZOi0o7vJrdviyeddsXoOFaI,7911 +openai/types/evals/create_eval_completions_run_data_source_param.py,sha256=EKOPQZKM2th4g2NAOwlATGTVa7VafEzrbTGopj-6-Ww,7982 openai/types/evals/create_eval_jsonl_run_data_source.py,sha256=GzE9S1AZy46LOooR61Nwmp5yGUMoFGU5yk4g18BP72E,1219 openai/types/evals/create_eval_jsonl_run_data_source_param.py,sha256=sM4-h4qDDkttGeaKgip8JZeuiaghPTBmwwxb5Xa6zhk,1285 openai/types/evals/eval_api_error.py,sha256=VvRO-N9_tIxpRiSi17PXiMpleowg_Y-Rq2kqiRgmpC4,268 -openai/types/evals/run_cancel_response.py,sha256=pxSmKYzP2tqPUv6hehCZMAz-1F2cucd3HpKsD0VScFI,13669 -openai/types/evals/run_create_params.py,sha256=f7B6HIxX2E0KwEtsw2Y4OEStSgiuKXKpuVP6MipbcxQ,12721 -openai/types/evals/run_create_response.py,sha256=pDERgsUWNG3n1o9M94e3xDKiqT3nhjWhm2JyOgWWins,13669 +openai/types/evals/run_cancel_response.py,sha256=SBBBM_lAO_LPsDWYSVVHOlnalqOInQ1TsdoBqHtkpUY,13857 +openai/types/evals/run_create_params.py,sha256=qYSMUdITG61p1BlqmxqCxxG14_3KQtW2nB-vbxWBHxI,12909 +openai/types/evals/run_create_response.py,sha256=WWrrYvKM0LI5YYg7uVPlSq2KVbFX0LfDzFospNnapNQ,13857 openai/types/evals/run_delete_response.py,sha256=WSQpOlZu53eWBCXSRGkthFn_Yz5rDCcSomqoa4HpUrk,323 openai/types/evals/run_list_params.py,sha256=vgbJMYybzCep7e9rxUVHlWy_o4GNy4tJyGTwNu4n4ys,758 -openai/types/evals/run_list_response.py,sha256=kZwwxzDdXvFENsJRyUXuUF69j7tN8XeWbOSh5sas0SQ,13665 -openai/types/evals/run_retrieve_response.py,sha256=f8nc2ujEZK_In7nnBzlVOaSNSCLhnJdQh0SvRGO8OUU,13673 +openai/types/evals/run_list_response.py,sha256=rB8DMBOkz4mYCjG_YEurKr55zg_-7XKtXuyHN4tQbjk,13853 +openai/types/evals/run_retrieve_response.py,sha256=MpNeNZdA5ERcfe-xG4ezS4EanY4ykCyo5tKkezkWgf0,13861 openai/types/evals/runs/__init__.py,sha256=sltNV1VwseIVr09gQ5E4IKbRKJuWJSLY1xUvAuC97Ec,393 openai/types/evals/runs/output_item_list_params.py,sha256=Lp1OQV1qXeEUwMS90_-BpOnO1jICwJOo9QgNC9OGJ2U,821 openai/types/evals/runs/output_item_list_response.py,sha256=p-fc6-5-5VCvsaNuMefoOtf6htw8eqwKWj7qSjUEOfI,3836 @@ -1532,8 +1534,8 @@ openai/types/graders/multi_grader.py,sha256=QyTkY28D7_DyZHOdlTCpLHHyzWFYDs8KT4-3 openai/types/graders/multi_grader_param.py,sha256=6-AOnwpdJt5yGBqdtSu7fPOIav0GuipZMg5ZnDskYtc,1191 openai/types/graders/python_grader.py,sha256=WnZ24W9dtfqX8ZEPgVArYNkyAQElz2j-6no03u1wcU0,534 openai/types/graders/python_grader_param.py,sha256=ss-fnK1MZe9eDLvFd2sz1AayD3cbuIMBn3mXCDUZMb8,565 -openai/types/graders/score_model_grader.py,sha256=9-Z83d1YfuEeL-o1fUjreSc-7hLTzNi66QVLjfJIjSg,3034 -openai/types/graders/score_model_grader_param.py,sha256=JdEZTVr-2-4ACcE8R5n3m2yPh7JdfQFO0pQqgYRAnlc,3199 +openai/types/graders/score_model_grader.py,sha256=h5rIYQ4dKTFwo6s_fUPgVhFaHl2b3e3yRTUMcvivIqQ,3128 +openai/types/graders/score_model_grader_param.py,sha256=Nte2LuanCMfsfnBlNkcc2OR9W_a0YhrGLwcqh2WBrAo,3293 openai/types/graders/string_check_grader.py,sha256=Ofmiv6cZw6Le42M-XQ2p_IJqazRLN626xf_zie5LVKE,675 openai/types/graders/string_check_grader_param.py,sha256=gwIhLOMY4xyI6lKLwGTrTlorb98mODRATC1Ei2KbvrY,771 openai/types/graders/text_similarity_grader.py,sha256=SYoSbN81qi3_Q-y_l7H4B_ATbwfLlx_RnzY2J11f1FQ,887 @@ -1561,9 +1563,9 @@ openai/types/moderation_multi_modal_input_param.py,sha256=RFdiEPsakWIscutX896ir5 openai/types/moderation_text_input_param.py,sha256=ardCbBcdaULf8bkFuzkSKukV9enrINSjNWvb7m0LjZg,406 openai/types/other_file_chunking_strategy_object.py,sha256=Hf9XBL1RpF9ySZDchijlsJQ59wXghbVa0jp8MaEoC-4,310 openai/types/realtime/__init__.py,sha256=vIt8a8hMBc42EcWBP9hIqwzotPt2737yxjJY0vjSt-E,16937 -openai/types/realtime/audio_transcription.py,sha256=p3L99f6gmcnYTNfde6bUsevaRPpVCDh-CXiHcyHYrGg,1209 -openai/types/realtime/audio_transcription_param.py,sha256=ZIvJL36zOMYEZ3A5fXplV3lgx64oVTISyiGNvbXVKwE,1150 -openai/types/realtime/call_accept_params.py,sha256=JkKfGL8NwAW0tPL052hVPPsgiloUEOr0o3MCiy59dGs,4242 +openai/types/realtime/audio_transcription.py,sha256=uEUysrLR-RFQ4-3X5M7b1d0H6SbJMioil5xOG2LzO_0,1332 +openai/types/realtime/audio_transcription_param.py,sha256=FMAYpRHVNVCkKwmUGRSFQsGaCmKM3qP-g1aQwtC3Dwg,1275 +openai/types/realtime/call_accept_params.py,sha256=up5XX0MDcN14v9KK6MyAqYdvDfGDVwWqZHp8HNC-gSg,5171 openai/types/realtime/call_create_params.py,sha256=r0vyhcjvDAKZF8DSbLP7bEQAVh92hgzNBnXBQWJ56no,544 openai/types/realtime/call_refer_params.py,sha256=Zhy_H0Jv0leRL6HS_WH7Oca7HUlZ0feINePxN-hms0s,422 openai/types/realtime/call_reject_params.py,sha256=cyz55zIN5DzSL74uhzeKQOSecl4V0UkpySt7zykoGIA,374 @@ -1662,9 +1664,9 @@ openai/types/realtime/realtime_response_usage_input_token_details.py,sha256=YcOr openai/types/realtime/realtime_response_usage_output_token_details.py,sha256=9wWB5tRft0LQsIgsIBsSaAhv4rDGgTl9Y5svpGU4ooE,459 openai/types/realtime/realtime_server_event.py,sha256=5XfW7BkJMsJJUGXq0hCd7AtCa2uPPKnQbqkrorx_LYk,6578 openai/types/realtime/realtime_session_client_secret.py,sha256=hjco-0FnTvhnMSLezczUBDz739hbvZSbxB4BeZCeark,583 -openai/types/realtime/realtime_session_create_request.py,sha256=VuvNStwhgjTF7GzDXD2pV09LzoH7D-bc0KCr44usEvw,4290 -openai/types/realtime/realtime_session_create_request_param.py,sha256=T6-_MpLWp_o-cKlUbfdmCboDRYUv65PGqgOFDFTgBhs,4276 -openai/types/realtime/realtime_session_create_response.py,sha256=5dz4Sm3kg-HXOF6ke5poXgwhyNSED2IoldJJx6jEl6c,16939 +openai/types/realtime/realtime_session_create_request.py,sha256=1DNHKmhpYZLU5ENwoomUh6IRZ2lt03mcpSpmQjdKiPo,5219 +openai/types/realtime/realtime_session_create_request_param.py,sha256=U4Lq3X2XKrq6V1WabMMtegOWkP8eTuCUfWVrM_68X6Y,5205 +openai/types/realtime/realtime_session_create_response.py,sha256=zZbfse_KKlKlZwZ6Lx_4BaL0G-5yp3_ZjV2OVBblasE,17868 openai/types/realtime/realtime_tool_choice_config.py,sha256=DV0uuyfK59paj5NC9adQskUF2km5TRSiHAlMDu1Fmdo,472 openai/types/realtime/realtime_tool_choice_config_param.py,sha256=0vqYNM4MkU5d8GXfitT6AoE9AubKeLZOSHGOH8q73QU,550 openai/types/realtime/realtime_tools_config.py,sha256=JSxehiQnA_tJUeXvi2h9H6wlYsnhhtRWB_o5S20V-oQ,318 @@ -1685,8 +1687,8 @@ openai/types/realtime/realtime_transcription_session_create_response.py,sha256=d openai/types/realtime/realtime_transcription_session_turn_detection.py,sha256=hFAIILzs1QaQ8JvX8PoHBExUm3eNZKWnJQfjQKnGBfE,1040 openai/types/realtime/realtime_truncation.py,sha256=lnr1Uq9kSs6OfJb_TcvQrs7jx92UuSKaIhGNvwUK-qU,380 openai/types/realtime/realtime_truncation_param.py,sha256=wBXHiAPS_HA6MWBqhRGEtqZxu6RdIrgnTVRYgUljwq4,442 -openai/types/realtime/realtime_truncation_retention_ratio.py,sha256=443HkkzJeCKSvLGYOGENOnsFOECc_k8RK9rNrpgtir0,515 -openai/types/realtime/realtime_truncation_retention_ratio_param.py,sha256=_hvzGBKDeouf3aJsB0EYK6UsL1UnH0rq1zKyzMW98tQ,581 +openai/types/realtime/realtime_truncation_retention_ratio.py,sha256=bP3nvGYdj2ssc1e-rfrL8VFksVTvuA4HjD50CwxSR98,1380 +openai/types/realtime/realtime_truncation_retention_ratio_param.py,sha256=K_iW_qPUxsnWIXpgCUpdlUxlngAcWZKwFZKXenOjyIQ,1397 openai/types/realtime/response_audio_delta_event.py,sha256=9-CcYOY4JeBiFYVkGwQ1uOVHrtRNxsMg43M3csgaOw4,755 openai/types/realtime/response_audio_done_event.py,sha256=Kuc7DYWSIcNfCH8M2HIl80phHyYnHnChfSdp30qXqUA,692 openai/types/realtime/response_audio_transcript_delta_event.py,sha256=Pr0dP0Up-jY-QQiyL07q9kByaOMkV0WIaYrkDOCLhXY,786 @@ -1714,18 +1716,20 @@ openai/types/realtime/session_created_event.py,sha256=nPM98I--WtKuzs3Srofj6kptYb openai/types/realtime/session_update_event.py,sha256=TmxL9PYD7GD_MAhRoGsor7mhAp2PZl4JaWl_APLteew,1088 openai/types/realtime/session_update_event_param.py,sha256=7uKlFHpoKcvYMCeAJ2cwCWe-dDPW6XeMV-zNgRvtX1E,1160 openai/types/realtime/session_updated_event.py,sha256=a5zFzk9iBCpB6TOjb_x_KjTdOhIPOSlW3cpx3nGNiKk,770 -openai/types/responses/__init__.py,sha256=wTOcDk-x9xxG_SowXhFuQsDBA5ak36Bp4egxsv22rgU,16124 +openai/types/responses/__init__.py,sha256=kBlksNyIvsmL1rbaVsPGiblwMNuMbSxIHSysKKeYYfM,16300 openai/types/responses/computer_tool.py,sha256=bigJ0RyhP6jKtAB7YM-oP2sPtL1isCnZufTue80u9vg,607 openai/types/responses/computer_tool_param.py,sha256=7SJn4rXdQeAt-DiMiXfdPI6Q_X6S7Wfxrc1Am8nPZeg,693 openai/types/responses/custom_tool.py,sha256=WcsLiBUJbnMhjFF3hAFCP8SsCzzcbJh4BhC3NiVIl0c,736 openai/types/responses/custom_tool_param.py,sha256=cAbh_D2pQa0SPEFrrRVPXXoQCndExjjqKrwRaBghWZk,748 openai/types/responses/easy_input_message.py,sha256=4rPo04A1WVaCxLpPn3e_gJNgdNuAKlH9k6ijLK3-Bdc,817 openai/types/responses/easy_input_message_param.py,sha256=8kM4AkSoiUOspuDTQPfdLjkgydQ9yHmo-FCfjdthtgU,873 -openai/types/responses/file_search_tool.py,sha256=WquLED7txr7E_6-YebznUuEwNDnMRbXW8fKEQdqro80,1369 -openai/types/responses/file_search_tool_param.py,sha256=pPJBWiEY_JwT0mon35qpD55yjgNTGHrP34YFxNgvNAw,1423 +openai/types/responses/file_search_tool.py,sha256=2icXjeM09toOtIDIQP2n3fgHoIWJSpVS2O5LMUEya4Y,1870 +openai/types/responses/file_search_tool_param.py,sha256=bWqRblYEALYn4DjJfZR0JnOURieh-IhjmRHPcuMMrqk,1940 openai/types/responses/function_tool.py,sha256=gpcLwRIXSp92jVJcIXBUnsSH_FzJrlH-jLIo-IbE1IY,796 openai/types/responses/function_tool_param.py,sha256=ZDGBcqx-T24wgum2YHr3kBzk-P8lH-lCkuAHxyzKxGI,861 openai/types/responses/input_item_list_params.py,sha256=wazm2tELpbpBWdAQrXGBq88Bm5RsxWXmlVJAV3f_k-I,964 +openai/types/responses/input_token_count_params.py,sha256=rsM-e-quCSgO1gylCh8lz3HJtnvGejTkKASzJsr7RGU,5314 +openai/types/responses/input_token_count_response.py,sha256=w8LogkiqiItGuty0-bXts8xy1Ug-bbSYKEm7DDKmoP0,310 openai/types/responses/parsed_response.py,sha256=1rKsrhTtF8LhoRt_SHtBtQcRbztxAvPgZvTqGB9AMsY,3315 openai/types/responses/response.py,sha256=WZcotgnNu3UrRgrClMXNYJAisVlGC12MX9hF-F6YFYQ,11617 openai/types/responses/response_audio_delta_event.py,sha256=mXPosLnDn72HLG-Lk3EdyOw7isLm3HgpqQoYkG6XrJY,515 @@ -1737,14 +1741,14 @@ openai/types/responses/response_code_interpreter_call_code_done_event.py,sha256= openai/types/responses/response_code_interpreter_call_completed_event.py,sha256=STgdlJ5gQFLJeDwJGTGgvKKaJ_Ihz3qMNWWVjC9Wu4E,759 openai/types/responses/response_code_interpreter_call_in_progress_event.py,sha256=4G7za-MHwtjkSILQeV_oQ6LEIzK35ak5HE3oi1pYFzA,767 openai/types/responses/response_code_interpreter_call_interpreting_event.py,sha256=n8gNOqoJf47KE1T7kYE7q9bCeFnIUeODuFHmlGZcYkE,774 -openai/types/responses/response_code_interpreter_tool_call.py,sha256=QsApZaqsr9H2383UVyPw6_Xlf0sC3ciP1HS-R9Gq6QY,1650 -openai/types/responses/response_code_interpreter_tool_call_param.py,sha256=SHyZZ5nG-pch6XGBeDgw-exDnECNwXdwJSwHmvoZ684,1723 +openai/types/responses/response_code_interpreter_tool_call.py,sha256=Zv5gnGOcZpAd1Nj542JVyMNBObv175YKAR2DRxZ3pxM,1650 +openai/types/responses/response_code_interpreter_tool_call_param.py,sha256=QNucxgTL8laa3Fh8NjoWFdzRnFyaplIb0kGlyk8oZV8,1723 openai/types/responses/response_completed_event.py,sha256=lpsi8GcuDN1Jk624y6TsUjpxRO39-Pt_QeuVtU8g-QA,517 -openai/types/responses/response_computer_tool_call.py,sha256=DZpxSuTbYHt4XDW50wpWm167hgHxZhBCnGbHN8SgUjQ,4644 -openai/types/responses/response_computer_tool_call_output_item.py,sha256=BYBAJUKqSsAbUpe099JeaWCmTsk4yt-9_RnRroWV2N0,1493 +openai/types/responses/response_computer_tool_call.py,sha256=SKagtciWz5JZq8kzHZ44tmxOZ5C1CC1sfEgm0XDyPuQ,4671 +openai/types/responses/response_computer_tool_call_output_item.py,sha256=c7s0_T4GC_03P-ywObgbgsFzsqfRILWnf9FyqrZMceQ,1527 openai/types/responses/response_computer_tool_call_output_screenshot.py,sha256=HVkJ_VJx1L9-sdIVzfdlk1EkrA3QSGJU24rcwqfvGzo,662 openai/types/responses/response_computer_tool_call_output_screenshot_param.py,sha256=YJ3_l0_Z_sAbhIVMnBeCriUn1Izql404_YEQHLbt2Xg,656 -openai/types/responses/response_computer_tool_call_param.py,sha256=stigaaGzVgCkjN8vCCdOgpcpxYUhm-PYJNjJyElOR6c,5089 +openai/types/responses/response_computer_tool_call_param.py,sha256=WKaBaoeXYZex1XCQU8d61gyYF47z1QsvnjAvBQqcaq4,5082 openai/types/responses/response_content_part_added_event.py,sha256=P2CBuVxxxAgFzTP481h5hGa4IsfxYguwAQnbJLZQpcs,1337 openai/types/responses/response_content_part_done_event.py,sha256=PosTBej2YbmUZmBWOZrxivITJIUryLWaT-jc65ZA0QY,1329 openai/types/responses/response_conversation_param.py,sha256=sEhOVnULPS7_ZFHZ81YkLcF9yzlWd4OxWTuOvDdOcgE,340 @@ -1785,12 +1789,12 @@ openai/types/responses/response_image_gen_call_generating_event.py,sha256=1mjodL openai/types/responses/response_image_gen_call_in_progress_event.py,sha256=DxvV9tMMGGcu5lTgIuHTL7Kbt3bO40NKg6Qd8kATvkQ,708 openai/types/responses/response_image_gen_call_partial_image_event.py,sha256=xN3hw_RbEiD9ZoSZCf3TJZcL3JUIWCVzd5cha20s_7I,971 openai/types/responses/response_in_progress_event.py,sha256=uvYzRXq4v6LuXY8fNyGbzbTt4tySoSskzz_hUFWc-64,518 -openai/types/responses/response_includable.py,sha256=A4cf5h8hd2QheP1IKGrvCThGy0mzyZ73MeiJ-yhTNU4,436 +openai/types/responses/response_includable.py,sha256=tkia-hgFh4ttgy53H5lJtoBWsSQh6G2DzCXj-14o8Ko,505 openai/types/responses/response_incomplete_event.py,sha256=0EP3BJzI2E6VXcpEvaPenBKHGocEZbFjToSMMktUo7U,516 openai/types/responses/response_input_audio.py,sha256=OUNcmcb1VfKnxNIuDRunZNGp564UHOHUreiWhmQzOUE,574 openai/types/responses/response_input_audio_param.py,sha256=-B87XBc8ndNEgOkm7U5ZI380fEmkDcAPa9fIzIPb7q4,673 -openai/types/responses/response_input_content.py,sha256=Xh7fU7qlvBR_-RjNSK0Nny8vqAFLAtKxrOJu8IwaPpE,620 -openai/types/responses/response_input_content_param.py,sha256=nnfvXgu3yeQdEMxwRkJQ69sCQvYpQOxqd5TJNx0xlbo,632 +openai/types/responses/response_input_content.py,sha256=MaZ-MNnZvhM2stSUKdhofXrdM9BzFjSJQal7UDVAQaI,542 +openai/types/responses/response_input_content_param.py,sha256=1q_4oG8Q0DAGnQlS-OBNZxMD7k69jfra7AnXkkqfyr4,537 openai/types/responses/response_input_file.py,sha256=Sp8QjnKF3XgUbPXRRpOhJAnlpbyVdAFM8AY-9Xa3JZo,717 openai/types/responses/response_input_file_content.py,sha256=dS2mFZFvkcuV6dau_TQHN6CnBhnmypRAzlW28gjvK3M,743 openai/types/responses/response_input_file_content_param.py,sha256=ubBzg8iwjHRjh4uZCKCuDAUVzV20mfx8qkWqgqdjHyY,771 @@ -1802,7 +1806,7 @@ openai/types/responses/response_input_image_param.py,sha256=5qhS_nF1GH3buGga8HSz openai/types/responses/response_input_item.py,sha256=8dzWkkQ6wlCFYb_zciLP_q9pVE3Rji1rM06r4aQBAhI,9703 openai/types/responses/response_input_item_param.py,sha256=IEeVlp_5LD79iGEOHoCu_arzmX4QdX4jFZkZXQ0fUh4,10236 openai/types/responses/response_input_message_content_list.py,sha256=LEaQ_x6dRt3w5Sl7R-Ewu89KlLyGFhMf31OHAHPD3U8,329 -openai/types/responses/response_input_message_content_list_param.py,sha256=cCy7w0Qwk8aiID12bCM6JidTSlPqNsVeDXho3DUX2n4,761 +openai/types/responses/response_input_message_content_list_param.py,sha256=cbbqvs4PcK8CRsNCQqoA4w6stJCRNOQSiJozwC18urs,666 openai/types/responses/response_input_message_item.py,sha256=_zXthGtO0zstLvIHg9XesNAme6yNa8JOejkBYLwXm70,1029 openai/types/responses/response_input_param.py,sha256=oMK5yD1JhNjmSbjtAObkC5FKsi39lVRiKbvO75qFjCY,10330 openai/types/responses/response_input_text.py,sha256=L7ikIc1qFUSjB9FLeKiy6uwa2y-TkN1bMMgq7PpGOuE,375 @@ -1853,7 +1857,7 @@ openai/types/responses/response_usage.py,sha256=DFA8WjqKGl7iGCmZl2G18y48xT82UTZ_ openai/types/responses/response_web_search_call_completed_event.py,sha256=gWv2xgDeGbvN0oqm96uuecGBy1SkbF_yNA56h5hMlOE,698 openai/types/responses/response_web_search_call_in_progress_event.py,sha256=XxOSK7EI1d0WDkfG5jgU_LIXz72CGixqp4uYW88-dY8,704 openai/types/responses/response_web_search_call_searching_event.py,sha256=sYr9K30DjDeD_h5Jj41OwoTrvUkF--dCQGnQuEnggcw,698 -openai/types/responses/tool.py,sha256=Niu8o-rmIBpOWJZGHyj_whneXThBQNgnrTPbzMqGEtU,8499 +openai/types/responses/tool.py,sha256=65BfcGZ-bh-qjN7Fjl8xK2pq0JTPHow7kbcvN9mfL2o,8569 openai/types/responses/tool_choice_allowed.py,sha256=I0bB6Gq7aIswr3mWH3TN6aOgtun01Kaopa72AhZJG9I,1023 openai/types/responses/tool_choice_allowed_param.py,sha256=PMokbtPLR48_b_ZNe0AMyZx-C-OrcwPsbeX31DpoIwE,1107 openai/types/responses/tool_choice_custom.py,sha256=xi7cPj8VJn4qYXXSkZwFoV_WdYbyGwEVTDIcdHL9AQo,382 @@ -1865,7 +1869,7 @@ openai/types/responses/tool_choice_mcp_param.py,sha256=E4VcW1YhjYJgYaSw74NuluyM9 openai/types/responses/tool_choice_options.py,sha256=gJHrNT72mRECrN7hQKRHAOA-OS0JJo51YnXvUcMfqMQ,237 openai/types/responses/tool_choice_types.py,sha256=-3FM-g4h0122Aq2CxEqiNt2A4hjYWPrJJ9MKh_hEROs,740 openai/types/responses/tool_choice_types_param.py,sha256=_EqjVdOTy8bjKho3ZGdwYAgc11PaXp804jkBvj9dCz4,838 -openai/types/responses/tool_param.py,sha256=bG6wCUO31yZ51HhfKQh0Bg4-X8F95N-GotgviJkbDcQ,8453 +openai/types/responses/tool_param.py,sha256=0nPCOu3JjSf_onMbVIDSNIuXI4KZZ7MS6U1JBOy4y14,8516 openai/types/responses/web_search_preview_tool.py,sha256=jIoIdmR4tzsIjT2a_5II0tHCnJsea4HTirBR2u00hFk,1469 openai/types/responses/web_search_preview_tool_param.py,sha256=W64kS2h1cm2lY9ODnp_YoLojRyjei9SZq2UU7X2AJ48,1496 openai/types/responses/web_search_tool.py,sha256=WuPSLv-W8j8LQvUyHA7S6gGtJrQmGP_t0QCrbh6qPYI,1821 @@ -1873,14 +1877,14 @@ openai/types/responses/web_search_tool_param.py,sha256=6iMdaKKYaO7bTUzSfmfw3owAj openai/types/shared/__init__.py,sha256=EVk-X1P3R7YWmlYmrbpMrjAeZEfVfudF-Tw7fbOC90o,1267 openai/types/shared/all_models.py,sha256=vRGGY6__Y_2koZ0uqHZGA4GKvV0yHj5cEIFPZMt7uFQ,687 openai/types/shared/chat_model.py,sha256=6VpDw8bZPrezzjN8UfBwKpIWokakgU-12rdLzQulLHo,1731 -openai/types/shared/comparison_filter.py,sha256=Y77SD30trdlW0E8BUIMHrugp2N_4I78JJabD2Px6edU,766 +openai/types/shared/comparison_filter.py,sha256=mLGAFzMffGvjnzp63nlUrZTJbEeyI6xZJ2s1PNatLWg,854 openai/types/shared/compound_filter.py,sha256=QhKPeKKdtWvMDDO85YLKUGgdxBQfrYiFimjadAM31Bs,581 openai/types/shared/custom_tool_input_format.py,sha256=cO7pX1O0k8J6FgERYUqNjafjjYiwS7GCmIw3E_xSiVQ,773 openai/types/shared/error_object.py,sha256=G7SGPZ9Qw3gewTKbi3fK69eM6L2Ur0C2D57N8iEapJA,305 openai/types/shared/function_definition.py,sha256=2F07J5Q7r2Iwg74dC5rarhwWTnt579Y5LUrNc8OdqSc,1475 openai/types/shared/function_parameters.py,sha256=Dkc_pm98zCKyouQmYrl934cK8ZWX7heY_IIyunW8x7c,236 openai/types/shared/metadata.py,sha256=DC0SFof2EeVvFK0EsmQH8W5b_HnpI_bdp47s51E5LKw,213 -openai/types/shared/reasoning.py,sha256=FvPkybiYMTz2wqeTAAm0f1nWqUlvTXT1IEnCXzwU95Q,1241 +openai/types/shared/reasoning.py,sha256=fXs23Decys71ETmmMWf5wP5HpN4YXl3eb6gtSNEpq-Y,1403 openai/types/shared/reasoning_effort.py,sha256=oK9lKsN8e2SZ8jV49MZ7PBxbnCP1MxGUQDLYMxlGQYE,279 openai/types/shared/response_format_json_object.py,sha256=E1KGMUZnaj8fLnQXQC8_m9rMp8F6vIqeR9T1RmFNvE4,352 openai/types/shared/response_format_json_schema.py,sha256=SsiLtgrudK4Dvxi2Kx0qUFiBQt26y5uGw_33te7L0Gg,1568 @@ -1890,13 +1894,13 @@ openai/types/shared/response_format_text_python.py,sha256=Rfkd4jhzndD0Nw5H6LLnR4 openai/types/shared/responses_model.py,sha256=qW98KTljofKYY-AiIF_KKpwyGLL5Uk8iQMidmR5FEGc,697 openai/types/shared_params/__init__.py,sha256=Jtx94DUXqIaXTb7Sgsx3MPoB9nViBlYEy0DlQ3VcOJU,976 openai/types/shared_params/chat_model.py,sha256=S0JO3lMtaZ7CG8ZvjYcRls-CF5qLL7AUUDuj1peeKDE,1767 -openai/types/shared_params/comparison_filter.py,sha256=ayLPPfnlufcZnpgmWXZ-iuwpacUk5L7_hITuDyegFiQ,832 +openai/types/shared_params/comparison_filter.py,sha256=TmykbxNA41bzNZVXET9T5oBn3hkEXo-1q-k6DnxOAFk,962 openai/types/shared_params/compound_filter.py,sha256=dJrqaoOVY8QBEZPCjjD3hhf4qwcJLJ26jgK4N85bEFc,646 openai/types/shared_params/custom_tool_input_format.py,sha256=ifDywFgUir2J2CPm1vyNcGnwl6nJFQsMFF1-qOvAdJA,769 openai/types/shared_params/function_definition.py,sha256=6JjuRmXIofTv76GCC4XFssqgZw-iKbBazjWqKerfq6Q,1510 openai/types/shared_params/function_parameters.py,sha256=UvxKz_3b9b5ECwWr8RFrIH511htbU2JZsp9Z9BMkF-o,272 openai/types/shared_params/metadata.py,sha256=YCb9eFyy17EuLwtVHjUBUjW2FU8SbWp4NV-aEr_it54,249 -openai/types/shared_params/reasoning.py,sha256=iHGUp7rPlMczbNWCJe4Jaz0IMBpRBGaxUfU8qkbbZoA,1255 +openai/types/shared_params/reasoning.py,sha256=K0ZpgWvM7S5ZEKX5jzno0Qu0YyqcBmkLLjTw3eWmR-g,1417 openai/types/shared_params/reasoning_effort.py,sha256=d_oflloFU0aeSyJrEZKwpwi0kZNUsg8rEZ4XUU-5eoE,315 openai/types/shared_params/response_format_json_object.py,sha256=aEdVMoEkiEVE_YX6pfj5VqRVqfRIPju5hU-lqNubhVE,398 openai/types/shared_params/response_format_json_schema.py,sha256=iCr7oU2jaHmVAi60mG90uksfv1QQjtvrVT9Vd3paE0k,1529 @@ -1913,23 +1917,23 @@ openai/types/uploads/__init__.py,sha256=fDsmd3L0nIWbFldbViOLvcQavsFA4SL3jsXDfAue openai/types/uploads/part_create_params.py,sha256=pBByUzngaj70ov1knoSo_gpeBjaWP9D5EdiHwiG4G7U,362 openai/types/uploads/upload_part.py,sha256=U9953cr9lJJLWEfhTiwHphRzLKARq3gWAWqrjxbhTR4,590 openai/types/vector_store.py,sha256=hS30tSgL_s1BC04nIHfZL95-uD60t5Oe44JUQnVD8T8,2470 -openai/types/vector_store_create_params.py,sha256=mmOkVJk2qH2SeUos0p1keKCFYp7xUTWe00ielN0LCpE,1764 +openai/types/vector_store_create_params.py,sha256=92Z1F3rAUnsniQ2lRHAZHpEE0pSVAsbQCWhCGBvEXxc,1894 openai/types/vector_store_deleted.py,sha256=BbtnlZ0Z5f4ncDyHLKrEfmY6Uuc0xOg3WBxvMoR8Wxk,307 openai/types/vector_store_list_params.py,sha256=KeSeQaEdqO2EiPEVtq1Nun-uRRdkfwW0P8aHeCmL5zA,1226 openai/types/vector_store_search_params.py,sha256=EnYfNFP4dgovZeLLPeGofA3TCJatJDYt4aoppMOto9g,1262 openai/types/vector_store_search_response.py,sha256=qlhdAjqLPZg_JQmsqQCzAgT2Pxc2C-vGZmh64kR8y-M,1156 openai/types/vector_store_update_params.py,sha256=RJm0qkqLOsHjhPIiOWPNwkrEIqHjDukyZT52mle4gWc,1240 openai/types/vector_stores/__init__.py,sha256=F_DyW6EqxOJTBPKE5LUSzgTibcZM6axMo-irysr52ro,818 -openai/types/vector_stores/file_batch_create_params.py,sha256=f931A3sW8V30WGXQYCU561EqG3XRxShgE_hSpu-hFrM,1302 +openai/types/vector_stores/file_batch_create_params.py,sha256=rHysxuqX1vfxUqsIfaLYJMi4CkmMSJEmDWBjTb_ntdg,2707 openai/types/vector_stores/file_batch_list_files_params.py,sha256=FPpQvCQI2skyLB8YCuwdCj7RbO9ba1UjaHAtvrWxAbs,1451 openai/types/vector_stores/file_content_response.py,sha256=uAFvFDE_NVRzg0xm1fLJ2zEd62qzq8rPYko7xpDjbaU,367 openai/types/vector_stores/file_create_params.py,sha256=nTHWG0OMqqLRjWFH2qbif89fpCJQCzGGdXDjCqPbq1Y,1229 openai/types/vector_stores/file_list_params.py,sha256=AIzmNH1oFuy-qlpRhj9eXu9yyTA-2z_IppLYFclMtZw,1385 openai/types/vector_stores/file_update_params.py,sha256=NGah01luDW_W3psfsYa3ShlswH8pAhC_EebLMvd925I,781 -openai/types/vector_stores/vector_store_file.py,sha256=mfmXBL4EqHuaoamRnZ2TS1oX3k1okTREU2vLOrbVglw,2247 +openai/types/vector_stores/vector_store_file.py,sha256=O-9uanENp8lAUVv_wmXzAwEHi-VVzIKgLoX5s0YfFpM,2261 openai/types/vector_stores/vector_store_file_batch.py,sha256=MnRehH5Mc0VOhSCZtniMDz8eH72syy2RScmECR_BEhE,1456 openai/types/vector_stores/vector_store_file_deleted.py,sha256=sOds3FSmDBFhe25zoSAz2vHsmG2bo4s2PASgB_M6UU0,321 -openai/types/video.py,sha256=F88d2DOsrp78qtdndxDHlKNJwEdFOugsOFWK6JmxjWc,1538 +openai/types/video.py,sha256=V6kjO9wReYBZK4-Py315LhzMHEXjM74rlJjYOft3iWs,1630 openai/types/video_create_error.py,sha256=LeUNv9jRmwiBvpinM8oXZfS2aLaKwPhZYBRzctCvj1c,220 openai/types/video_create_params.py,sha256=u1b0NOeaIcwTV45Nevs0TSblUidhuFTX8p9rexqtnhw,852 openai/types/video_delete_response.py,sha256=OBDgodTKpz3knKlFr9yVEkT_pjNTxGLO1Ol2iYjZSzI,464 diff --git a/portkey_ai/_vendor/openai-2.2.0.dist-info/REQUESTED b/portkey_ai/_vendor/openai-2.7.1.dist-info/REQUESTED similarity index 100% rename from portkey_ai/_vendor/openai-2.2.0.dist-info/REQUESTED rename to portkey_ai/_vendor/openai-2.7.1.dist-info/REQUESTED diff --git a/portkey_ai/_vendor/openai-2.2.0.dist-info/WHEEL b/portkey_ai/_vendor/openai-2.7.1.dist-info/WHEEL similarity index 100% rename from portkey_ai/_vendor/openai-2.2.0.dist-info/WHEEL rename to portkey_ai/_vendor/openai-2.7.1.dist-info/WHEEL diff --git a/portkey_ai/_vendor/openai-2.2.0.dist-info/entry_points.txt b/portkey_ai/_vendor/openai-2.7.1.dist-info/entry_points.txt similarity index 100% rename from portkey_ai/_vendor/openai-2.2.0.dist-info/entry_points.txt rename to portkey_ai/_vendor/openai-2.7.1.dist-info/entry_points.txt diff --git a/portkey_ai/_vendor/openai-2.2.0.dist-info/licenses/LICENSE b/portkey_ai/_vendor/openai-2.7.1.dist-info/licenses/LICENSE similarity index 100% rename from portkey_ai/_vendor/openai-2.2.0.dist-info/licenses/LICENSE rename to portkey_ai/_vendor/openai-2.7.1.dist-info/licenses/LICENSE diff --git a/portkey_ai/_vendor/openai/_streaming.py b/portkey_ai/_vendor/openai/_streaming.py index f586de74..05c284a2 100644 --- a/portkey_ai/_vendor/openai/_streaming.py +++ b/portkey_ai/_vendor/openai/_streaming.py @@ -96,9 +96,8 @@ def __stream__(self) -> Iterator[_T]: yield process_data(data=data, cast_to=cast_to, response=response) - # Ensure the entire stream is consumed - for _sse in iterator: - ... + # As we might not fully consume the response stream, we need to close it explicitly + response.close() def __enter__(self) -> Self: return self @@ -198,9 +197,8 @@ async def __stream__(self) -> AsyncIterator[_T]: yield process_data(data=data, cast_to=cast_to, response=response) - # Ensure the entire stream is consumed - async for _sse in iterator: - ... + # As we might not fully consume the response stream, we need to close it explicitly + await response.aclose() async def __aenter__(self) -> Self: return self diff --git a/portkey_ai/_vendor/openai/_utils/_utils.py b/portkey_ai/_vendor/openai/_utils/_utils.py index cddf2c8d..90494748 100644 --- a/portkey_ai/_vendor/openai/_utils/_utils.py +++ b/portkey_ai/_vendor/openai/_utils/_utils.py @@ -137,7 +137,7 @@ def is_given(obj: _T | NotGiven | Omit) -> TypeGuard[_T]: # Type safe methods for narrowing types with TypeVars. # The default narrowing for isinstance(obj, dict) is dict[unknown, unknown], # however this cause Pyright to rightfully report errors. As we know we don't -# care about the contained types we can safely use `object` in it's place. +# care about the contained types we can safely use `object` in its place. # # There are two separate functions defined, `is_*` and `is_*_t` for different use cases. # `is_*` is for when you're dealing with an unknown input diff --git a/portkey_ai/_vendor/openai/_version.py b/portkey_ai/_vendor/openai/_version.py index 2fdb2912..9fb4c23d 100644 --- a/portkey_ai/_vendor/openai/_version.py +++ b/portkey_ai/_vendor/openai/_version.py @@ -1,4 +1,4 @@ # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. __title__ = "openai" -__version__ = "2.2.0" # x-release-please-version +__version__ = "2.7.1" # x-release-please-version diff --git a/portkey_ai/_vendor/openai/resources/audio/transcriptions.py b/portkey_ai/_vendor/openai/resources/audio/transcriptions.py index 1fe88665..a5c86146 100644 --- a/portkey_ai/_vendor/openai/resources/audio/transcriptions.py +++ b/portkey_ai/_vendor/openai/resources/audio/transcriptions.py @@ -9,8 +9,17 @@ import httpx from ... import _legacy_response -from ...types import AudioResponseFormat -from ..._types import Body, Omit, Query, Headers, NotGiven, FileTypes, omit, not_given +from ..._types import ( + Body, + Omit, + Query, + Headers, + NotGiven, + FileTypes, + SequenceNotStr, + omit, + not_given, +) from ..._utils import extract_files, required_args, maybe_transform, deepcopy_minimal, async_maybe_transform from ..._compat import cached_property from ..._resource import SyncAPIResource, AsyncAPIResource @@ -23,6 +32,7 @@ from ...types.audio_response_format import AudioResponseFormat from ...types.audio.transcription_include import TranscriptionInclude from ...types.audio.transcription_verbose import TranscriptionVerbose +from ...types.audio.transcription_diarized import TranscriptionDiarized from ...types.audio.transcription_stream_event import TranscriptionStreamEvent from ...types.audio.transcription_create_response import TranscriptionCreateResponse @@ -59,9 +69,10 @@ def create( model: Union[str, AudioModel], chunking_strategy: Optional[transcription_create_params.ChunkingStrategy] | Omit = omit, include: List[TranscriptionInclude] | Omit = omit, - response_format: Union[Literal["json"], Omit] = omit, language: str | Omit = omit, prompt: str | Omit = omit, + response_format: Union[Literal["json"], Omit] = omit, + stream: Optional[Literal[False]] | Omit = omit, temperature: float | Omit = omit, timestamp_granularities: List[Literal["word", "segment"]] | Omit = omit, # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. @@ -70,7 +81,68 @@ def create( extra_query: Query | None = None, extra_body: Body | None = None, timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> Transcription: ... + ) -> Transcription: + """ + Transcribes audio into the input language. + + Args: + file: + The audio file object (not file name) to transcribe, in one of these formats: + flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. + + model: ID of the model to use. The options are `gpt-4o-transcribe`, + `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open source + Whisper V2 model). + + chunking_strategy: Controls how the audio is cut into chunks. When set to `"auto"`, the server + first normalizes loudness and then uses voice activity detection (VAD) to choose + boundaries. `server_vad` object can be provided to tweak VAD detection + parameters manually. If unset, the audio is transcribed as a single block. + + include: Additional information to include in the transcription response. `logprobs` will + return the log probabilities of the tokens in the response to understand the + model's confidence in the transcription. `logprobs` only works with + response_format set to `json` and only with the models `gpt-4o-transcribe` and + `gpt-4o-mini-transcribe`. + + language: The language of the input audio. Supplying the input language in + [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`) + format will improve accuracy and latency. + + prompt: An optional text to guide the model's style or continue a previous audio + segment. The + [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting) + should match the audio language. + + response_format: The format of the output, in one of these options: `json`, `text`, `srt`, + `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`, + the only supported format is `json`. + + stream: If set to true, the model response data will be streamed to the client as it is + generated using + [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). + See the + [Streaming section of the Speech-to-Text guide](https://platform.openai.com/docs/guides/speech-to-text?lang=curl#streaming-transcriptions) + for more information. + + Note: Streaming is not supported for the `whisper-1` model and will be ignored. + + temperature: The sampling temperature, between 0 and 1. Higher values like 0.8 will make the + output more random, while lower values like 0.2 will make it more focused and + deterministic. If set to 0, the model will use + [log probability](https://en.wikipedia.org/wiki/Log_probability) to + automatically increase the temperature until certain thresholds are hit. + + timestamp_granularities: The timestamp granularities to populate for this transcription. + `response_format` must be set `verbose_json` to use timestamp granularities. + Either or both of these options are supported: `word`, or `segment`. Note: There + is no additional latency for segment timestamps, but generating word timestamps + incurs additional latency. + + extra_headers: Send extra headers + + extra_query: Add additional query parameters to the request + """ @overload def create( @@ -114,6 +186,27 @@ def create( timeout: float | httpx.Timeout | None | NotGiven = not_given, ) -> str: ... + @overload + def create( + self, + *, + file: FileTypes, + model: Union[str, AudioModel], + chunking_strategy: Optional[transcription_create_params.ChunkingStrategy] | Omit = omit, + response_format: Literal["diarized_json"], + known_speaker_names: SequenceNotStr[str] | Omit = omit, + known_speaker_references: SequenceNotStr[str] | Omit = omit, + language: str | Omit = omit, + temperature: float | Omit = omit, + timestamp_granularities: List[Literal["word", "segment"]] | 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, + ) -> TranscriptionDiarized: ... + @overload def create( self, @@ -123,6 +216,8 @@ def create( stream: Literal[True], chunking_strategy: Optional[transcription_create_params.ChunkingStrategy] | Omit = omit, include: List[TranscriptionInclude] | Omit = omit, + known_speaker_names: SequenceNotStr[str] | Omit = omit, + known_speaker_references: SequenceNotStr[str] | Omit = omit, language: str | Omit = omit, prompt: str | Omit = omit, response_format: Union[AudioResponseFormat, Omit] = omit, @@ -144,8 +239,8 @@ def create( flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. model: ID of the model to use. The options are `gpt-4o-transcribe`, - `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open source - Whisper V2 model). + `gpt-4o-mini-transcribe`, `whisper-1` (which is powered by our open source + Whisper V2 model), and `gpt-4o-transcribe-diarize`. stream: If set to true, the model response data will be streamed to the client as it is generated using @@ -160,12 +255,25 @@ def create( first normalizes loudness and then uses voice activity detection (VAD) to choose boundaries. `server_vad` object can be provided to tweak VAD detection parameters manually. If unset, the audio is transcribed as a single block. + Required when using `gpt-4o-transcribe-diarize` for inputs longer than 30 + seconds. include: Additional information to include in the transcription response. `logprobs` will return the log probabilities of the tokens in the response to understand the model's confidence in the transcription. `logprobs` only works with response_format set to `json` and only with the models `gpt-4o-transcribe` and - `gpt-4o-mini-transcribe`. + `gpt-4o-mini-transcribe`. This field is not supported when using + `gpt-4o-transcribe-diarize`. + + known_speaker_names: Optional list of speaker names that correspond to the audio samples provided in + `known_speaker_references[]`. Each entry should be a short identifier (for + example `customer` or `agent`). Up to 4 speakers are supported. + + known_speaker_references: Optional list of audio samples (as + [data URLs](https://developer.mozilla.org/en-US/docs/Web/HTTP/Basics_of_HTTP/Data_URLs)) + that contain known speaker references matching `known_speaker_names[]`. Each + sample must be between 2 and 10 seconds, and can use any of the same input audio + formats supported by `file`. language: The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`) @@ -174,11 +282,14 @@ def create( prompt: An optional text to guide the model's style or continue a previous audio segment. The [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting) - should match the audio language. + should match the audio language. This field is not supported when using + `gpt-4o-transcribe-diarize`. response_format: The format of the output, in one of these options: `json`, `text`, `srt`, - `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`, - the only supported format is `json`. + `verbose_json`, `vtt`, or `diarized_json`. For `gpt-4o-transcribe` and + `gpt-4o-mini-transcribe`, the only supported format is `json`. For + `gpt-4o-transcribe-diarize`, the supported formats are `json`, `text`, and + `diarized_json`, with `diarized_json` required to receive speaker annotations. temperature: The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and @@ -190,7 +301,8 @@ def create( `response_format` must be set `verbose_json` to use timestamp granularities. Either or both of these options are supported: `word`, or `segment`. Note: There is no additional latency for segment timestamps, but generating word timestamps - incurs additional latency. + incurs additional latency. This option is not available for + `gpt-4o-transcribe-diarize`. extra_headers: Send extra headers @@ -211,6 +323,8 @@ def create( stream: bool, chunking_strategy: Optional[transcription_create_params.ChunkingStrategy] | Omit = omit, include: List[TranscriptionInclude] | Omit = omit, + known_speaker_names: SequenceNotStr[str] | Omit = omit, + known_speaker_references: SequenceNotStr[str] | Omit = omit, language: str | Omit = omit, prompt: str | Omit = omit, response_format: Union[AudioResponseFormat, Omit] = omit, @@ -232,8 +346,8 @@ def create( flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. model: ID of the model to use. The options are `gpt-4o-transcribe`, - `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open source - Whisper V2 model). + `gpt-4o-mini-transcribe`, `whisper-1` (which is powered by our open source + Whisper V2 model), and `gpt-4o-transcribe-diarize`. stream: If set to true, the model response data will be streamed to the client as it is generated using @@ -248,12 +362,25 @@ def create( first normalizes loudness and then uses voice activity detection (VAD) to choose boundaries. `server_vad` object can be provided to tweak VAD detection parameters manually. If unset, the audio is transcribed as a single block. + Required when using `gpt-4o-transcribe-diarize` for inputs longer than 30 + seconds. include: Additional information to include in the transcription response. `logprobs` will return the log probabilities of the tokens in the response to understand the model's confidence in the transcription. `logprobs` only works with response_format set to `json` and only with the models `gpt-4o-transcribe` and - `gpt-4o-mini-transcribe`. + `gpt-4o-mini-transcribe`. This field is not supported when using + `gpt-4o-transcribe-diarize`. + + known_speaker_names: Optional list of speaker names that correspond to the audio samples provided in + `known_speaker_references[]`. Each entry should be a short identifier (for + example `customer` or `agent`). Up to 4 speakers are supported. + + known_speaker_references: Optional list of audio samples (as + [data URLs](https://developer.mozilla.org/en-US/docs/Web/HTTP/Basics_of_HTTP/Data_URLs)) + that contain known speaker references matching `known_speaker_names[]`. Each + sample must be between 2 and 10 seconds, and can use any of the same input audio + formats supported by `file`. language: The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`) @@ -262,11 +389,14 @@ def create( prompt: An optional text to guide the model's style or continue a previous audio segment. The [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting) - should match the audio language. + should match the audio language. This field is not supported when using + `gpt-4o-transcribe-diarize`. response_format: The format of the output, in one of these options: `json`, `text`, `srt`, - `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`, - the only supported format is `json`. + `verbose_json`, `vtt`, or `diarized_json`. For `gpt-4o-transcribe` and + `gpt-4o-mini-transcribe`, the only supported format is `json`. For + `gpt-4o-transcribe-diarize`, the supported formats are `json`, `text`, and + `diarized_json`, with `diarized_json` required to receive speaker annotations. temperature: The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and @@ -278,7 +408,8 @@ def create( `response_format` must be set `verbose_json` to use timestamp granularities. Either or both of these options are supported: `word`, or `segment`. Note: There is no additional latency for segment timestamps, but generating word timestamps - incurs additional latency. + incurs additional latency. This option is not available for + `gpt-4o-transcribe-diarize`. extra_headers: Send extra headers @@ -298,6 +429,8 @@ def create( model: Union[str, AudioModel], chunking_strategy: Optional[transcription_create_params.ChunkingStrategy] | Omit = omit, include: List[TranscriptionInclude] | Omit = omit, + known_speaker_names: SequenceNotStr[str] | Omit = omit, + known_speaker_references: SequenceNotStr[str] | Omit = omit, language: str | Omit = omit, prompt: str | Omit = omit, response_format: Union[AudioResponseFormat, Omit] = omit, @@ -310,13 +443,15 @@ def create( extra_query: Query | None = None, extra_body: Body | None = None, timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> str | Transcription | TranscriptionVerbose | Stream[TranscriptionStreamEvent]: + ) -> str | Transcription | TranscriptionDiarized | TranscriptionVerbose | Stream[TranscriptionStreamEvent]: body = deepcopy_minimal( { "file": file, "model": model, "chunking_strategy": chunking_strategy, "include": include, + "known_speaker_names": known_speaker_names, + "known_speaker_references": known_speaker_references, "language": language, "prompt": prompt, "response_format": response_format, @@ -376,6 +511,8 @@ async def create( model: Union[str, AudioModel], chunking_strategy: Optional[transcription_create_params.ChunkingStrategy] | Omit = omit, include: List[TranscriptionInclude] | Omit = omit, + known_speaker_names: SequenceNotStr[str] | Omit = omit, + known_speaker_references: SequenceNotStr[str] | Omit = omit, language: str | Omit = omit, prompt: str | Omit = omit, response_format: Union[Literal["json"], Omit] = omit, @@ -398,19 +535,32 @@ async def create( flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. model: ID of the model to use. The options are `gpt-4o-transcribe`, - `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open source - Whisper V2 model). + `gpt-4o-mini-transcribe`, `whisper-1` (which is powered by our open source + Whisper V2 model), and `gpt-4o-transcribe-diarize`. chunking_strategy: Controls how the audio is cut into chunks. When set to `"auto"`, the server first normalizes loudness and then uses voice activity detection (VAD) to choose boundaries. `server_vad` object can be provided to tweak VAD detection parameters manually. If unset, the audio is transcribed as a single block. + Required when using `gpt-4o-transcribe-diarize` for inputs longer than 30 + seconds. include: Additional information to include in the transcription response. `logprobs` will return the log probabilities of the tokens in the response to understand the model's confidence in the transcription. `logprobs` only works with response_format set to `json` and only with the models `gpt-4o-transcribe` and - `gpt-4o-mini-transcribe`. + `gpt-4o-mini-transcribe`. This field is not supported when using + `gpt-4o-transcribe-diarize`. + + known_speaker_names: Optional list of speaker names that correspond to the audio samples provided in + `known_speaker_references[]`. Each entry should be a short identifier (for + example `customer` or `agent`). Up to 4 speakers are supported. + + known_speaker_references: Optional list of audio samples (as + [data URLs](https://developer.mozilla.org/en-US/docs/Web/HTTP/Basics_of_HTTP/Data_URLs)) + that contain known speaker references matching `known_speaker_names[]`. Each + sample must be between 2 and 10 seconds, and can use any of the same input audio + formats supported by `file`. language: The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`) @@ -419,11 +569,14 @@ async def create( prompt: An optional text to guide the model's style or continue a previous audio segment. The [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting) - should match the audio language. + should match the audio language. This field is not supported when using + `gpt-4o-transcribe-diarize`. response_format: The format of the output, in one of these options: `json`, `text`, `srt`, - `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`, - the only supported format is `json`. + `verbose_json`, `vtt`, or `diarized_json`. For `gpt-4o-transcribe` and + `gpt-4o-mini-transcribe`, the only supported format is `json`. For + `gpt-4o-transcribe-diarize`, the supported formats are `json`, `text`, and + `diarized_json`, with `diarized_json` required to receive speaker annotations. stream: If set to true, the model response data will be streamed to the client as it is generated using @@ -444,7 +597,8 @@ async def create( `response_format` must be set `verbose_json` to use timestamp granularities. Either or both of these options are supported: `word`, or `segment`. Note: There is no additional latency for segment timestamps, but generating word timestamps - incurs additional latency. + incurs additional latency. This option is not available for + `gpt-4o-transcribe-diarize`. extra_headers: Send extra headers @@ -502,6 +656,8 @@ async def create( stream: Literal[True], chunking_strategy: Optional[transcription_create_params.ChunkingStrategy] | Omit = omit, include: List[TranscriptionInclude] | Omit = omit, + known_speaker_names: SequenceNotStr[str] | Omit = omit, + known_speaker_references: SequenceNotStr[str] | Omit = omit, language: str | Omit = omit, prompt: str | Omit = omit, response_format: Union[AudioResponseFormat, Omit] = omit, @@ -523,8 +679,8 @@ async def create( flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. model: ID of the model to use. The options are `gpt-4o-transcribe`, - `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open source - Whisper V2 model). + `gpt-4o-mini-transcribe`, `whisper-1` (which is powered by our open source + Whisper V2 model), and `gpt-4o-transcribe-diarize`. stream: If set to true, the model response data will be streamed to the client as it is generated using @@ -539,12 +695,25 @@ async def create( first normalizes loudness and then uses voice activity detection (VAD) to choose boundaries. `server_vad` object can be provided to tweak VAD detection parameters manually. If unset, the audio is transcribed as a single block. + Required when using `gpt-4o-transcribe-diarize` for inputs longer than 30 + seconds. include: Additional information to include in the transcription response. `logprobs` will return the log probabilities of the tokens in the response to understand the model's confidence in the transcription. `logprobs` only works with response_format set to `json` and only with the models `gpt-4o-transcribe` and - `gpt-4o-mini-transcribe`. + `gpt-4o-mini-transcribe`. This field is not supported when using + `gpt-4o-transcribe-diarize`. + + known_speaker_names: Optional list of speaker names that correspond to the audio samples provided in + `known_speaker_references[]`. Each entry should be a short identifier (for + example `customer` or `agent`). Up to 4 speakers are supported. + + known_speaker_references: Optional list of audio samples (as + [data URLs](https://developer.mozilla.org/en-US/docs/Web/HTTP/Basics_of_HTTP/Data_URLs)) + that contain known speaker references matching `known_speaker_names[]`. Each + sample must be between 2 and 10 seconds, and can use any of the same input audio + formats supported by `file`. language: The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`) @@ -553,11 +722,14 @@ async def create( prompt: An optional text to guide the model's style or continue a previous audio segment. The [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting) - should match the audio language. + should match the audio language. This field is not supported when using + `gpt-4o-transcribe-diarize`. response_format: The format of the output, in one of these options: `json`, `text`, `srt`, - `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`, - the only supported format is `json`. + `verbose_json`, `vtt`, or `diarized_json`. For `gpt-4o-transcribe` and + `gpt-4o-mini-transcribe`, the only supported format is `json`. For + `gpt-4o-transcribe-diarize`, the supported formats are `json`, `text`, and + `diarized_json`, with `diarized_json` required to receive speaker annotations. temperature: The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and @@ -569,7 +741,8 @@ async def create( `response_format` must be set `verbose_json` to use timestamp granularities. Either or both of these options are supported: `word`, or `segment`. Note: There is no additional latency for segment timestamps, but generating word timestamps - incurs additional latency. + incurs additional latency. This option is not available for + `gpt-4o-transcribe-diarize`. extra_headers: Send extra headers @@ -590,6 +763,8 @@ async def create( stream: bool, chunking_strategy: Optional[transcription_create_params.ChunkingStrategy] | Omit = omit, include: List[TranscriptionInclude] | Omit = omit, + known_speaker_names: SequenceNotStr[str] | Omit = omit, + known_speaker_references: SequenceNotStr[str] | Omit = omit, language: str | Omit = omit, prompt: str | Omit = omit, response_format: Union[AudioResponseFormat, Omit] = omit, @@ -611,8 +786,8 @@ async def create( flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. model: ID of the model to use. The options are `gpt-4o-transcribe`, - `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open source - Whisper V2 model). + `gpt-4o-mini-transcribe`, `whisper-1` (which is powered by our open source + Whisper V2 model), and `gpt-4o-transcribe-diarize`. stream: If set to true, the model response data will be streamed to the client as it is generated using @@ -627,12 +802,25 @@ async def create( first normalizes loudness and then uses voice activity detection (VAD) to choose boundaries. `server_vad` object can be provided to tweak VAD detection parameters manually. If unset, the audio is transcribed as a single block. + Required when using `gpt-4o-transcribe-diarize` for inputs longer than 30 + seconds. include: Additional information to include in the transcription response. `logprobs` will return the log probabilities of the tokens in the response to understand the model's confidence in the transcription. `logprobs` only works with response_format set to `json` and only with the models `gpt-4o-transcribe` and - `gpt-4o-mini-transcribe`. + `gpt-4o-mini-transcribe`. This field is not supported when using + `gpt-4o-transcribe-diarize`. + + known_speaker_names: Optional list of speaker names that correspond to the audio samples provided in + `known_speaker_references[]`. Each entry should be a short identifier (for + example `customer` or `agent`). Up to 4 speakers are supported. + + known_speaker_references: Optional list of audio samples (as + [data URLs](https://developer.mozilla.org/en-US/docs/Web/HTTP/Basics_of_HTTP/Data_URLs)) + that contain known speaker references matching `known_speaker_names[]`. Each + sample must be between 2 and 10 seconds, and can use any of the same input audio + formats supported by `file`. language: The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`) @@ -641,11 +829,14 @@ async def create( prompt: An optional text to guide the model's style or continue a previous audio segment. The [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting) - should match the audio language. + should match the audio language. This field is not supported when using + `gpt-4o-transcribe-diarize`. response_format: The format of the output, in one of these options: `json`, `text`, `srt`, - `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`, - the only supported format is `json`. + `verbose_json`, `vtt`, or `diarized_json`. For `gpt-4o-transcribe` and + `gpt-4o-mini-transcribe`, the only supported format is `json`. For + `gpt-4o-transcribe-diarize`, the supported formats are `json`, `text`, and + `diarized_json`, with `diarized_json` required to receive speaker annotations. temperature: The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and @@ -657,7 +848,8 @@ async def create( `response_format` must be set `verbose_json` to use timestamp granularities. Either or both of these options are supported: `word`, or `segment`. Note: There is no additional latency for segment timestamps, but generating word timestamps - incurs additional latency. + incurs additional latency. This option is not available for + `gpt-4o-transcribe-diarize`. extra_headers: Send extra headers @@ -677,6 +869,8 @@ async def create( model: Union[str, AudioModel], chunking_strategy: Optional[transcription_create_params.ChunkingStrategy] | Omit = omit, include: List[TranscriptionInclude] | Omit = omit, + known_speaker_names: SequenceNotStr[str] | Omit = omit, + known_speaker_references: SequenceNotStr[str] | Omit = omit, language: str | Omit = omit, prompt: str | Omit = omit, response_format: Union[AudioResponseFormat, Omit] = omit, @@ -689,13 +883,15 @@ async def create( extra_query: Query | None = None, extra_body: Body | None = None, timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> Transcription | TranscriptionVerbose | str | AsyncStream[TranscriptionStreamEvent]: + ) -> Transcription | TranscriptionVerbose | TranscriptionDiarized | str | AsyncStream[TranscriptionStreamEvent]: body = deepcopy_minimal( { "file": file, "model": model, "chunking_strategy": chunking_strategy, "include": include, + "known_speaker_names": known_speaker_names, + "known_speaker_references": known_speaker_references, "language": language, "prompt": prompt, "response_format": response_format, @@ -764,8 +960,8 @@ def __init__(self, transcriptions: AsyncTranscriptions) -> None: def _get_response_format_type( - response_format: Literal["json", "text", "srt", "verbose_json", "vtt"] | Omit, -) -> type[Transcription | TranscriptionVerbose | str]: + response_format: AudioResponseFormat | Omit, +) -> type[Transcription | TranscriptionVerbose | TranscriptionDiarized | str]: if isinstance(response_format, Omit) or response_format is None: # pyright: ignore[reportUnnecessaryComparison] return Transcription @@ -773,6 +969,8 @@ def _get_response_format_type( return Transcription elif response_format == "verbose_json": return TranscriptionVerbose + elif response_format == "diarized_json": + return TranscriptionDiarized elif response_format == "srt" or response_format == "text" or response_format == "vtt": return str elif TYPE_CHECKING: # type: ignore[unreachable] diff --git a/portkey_ai/_vendor/openai/resources/audio/translations.py b/portkey_ai/_vendor/openai/resources/audio/translations.py index a4f844db..310f901f 100644 --- a/portkey_ai/_vendor/openai/resources/audio/translations.py +++ b/portkey_ai/_vendor/openai/resources/audio/translations.py @@ -349,7 +349,7 @@ def __init__(self, translations: AsyncTranslations) -> None: def _get_response_format_type( - response_format: Literal["json", "text", "srt", "verbose_json", "vtt"] | Omit, + response_format: AudioResponseFormat | Omit, ) -> type[Translation | TranslationVerbose | str]: if isinstance(response_format, Omit) or response_format is None: # pyright: ignore[reportUnnecessaryComparison] return Translation @@ -360,8 +360,8 @@ def _get_response_format_type( return TranslationVerbose elif response_format == "srt" or response_format == "text" or response_format == "vtt": return str - elif TYPE_CHECKING: # type: ignore[unreachable] + elif TYPE_CHECKING and response_format != "diarized_json": # type: ignore[unreachable] assert_never(response_format) else: - log.warn("Unexpected audio response format: %s", response_format) - return Transcription + log.warning("Unexpected audio response format: %s", response_format) + return Translation diff --git a/portkey_ai/_vendor/openai/resources/beta/assistants.py b/portkey_ai/_vendor/openai/resources/beta/assistants.py index ddac9a79..a958c0ca 100644 --- a/portkey_ai/_vendor/openai/resources/beta/assistants.py +++ b/portkey_ai/_vendor/openai/resources/beta/assistants.py @@ -102,6 +102,9 @@ def create( effort can result in faster responses and fewer tokens used on reasoning in a response. + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. + response_format: Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4), @@ -309,6 +312,9 @@ def update( effort can result in faster responses and fewer tokens used on reasoning in a response. + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. + response_format: Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4), @@ -555,6 +561,9 @@ async def create( effort can result in faster responses and fewer tokens used on reasoning in a response. + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. + response_format: Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4), @@ -762,6 +771,9 @@ async def update( effort can result in faster responses and fewer tokens used on reasoning in a response. + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. + response_format: Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4), diff --git a/portkey_ai/_vendor/openai/resources/beta/chatkit/chatkit.py b/portkey_ai/_vendor/openai/resources/beta/chatkit/chatkit.py index 2d090cf3..5a10a39c 100644 --- a/portkey_ai/_vendor/openai/resources/beta/chatkit/chatkit.py +++ b/portkey_ai/_vendor/openai/resources/beta/chatkit/chatkit.py @@ -2,11 +2,6 @@ from __future__ import annotations -from typing import Any, Mapping, cast - -import httpx - -from .... import _legacy_response from .threads import ( Threads, AsyncThreads, @@ -23,14 +18,8 @@ SessionsWithStreamingResponse, AsyncSessionsWithStreamingResponse, ) -from ...._types import Body, Query, Headers, NotGiven, FileTypes, not_given -from ...._utils import extract_files, maybe_transform, deepcopy_minimal, async_maybe_transform from ...._compat import cached_property from ...._resource import SyncAPIResource, AsyncAPIResource -from ...._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper -from ....types.beta import chatkit_upload_file_params -from ...._base_client import make_request_options -from ....types.beta.chatkit_upload_file_response import ChatKitUploadFileResponse __all__ = ["ChatKit", "AsyncChatKit"] @@ -63,55 +52,6 @@ def with_streaming_response(self) -> ChatKitWithStreamingResponse: """ return ChatKitWithStreamingResponse(self) - def upload_file( - self, - *, - file: FileTypes, - # 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, - ) -> ChatKitUploadFileResponse: - """ - Upload a ChatKit file - - Args: - file: Binary file contents to store with the ChatKit session. Supports PDFs and PNG, - JPG, JPEG, GIF, or WEBP images. - - 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 - """ - extra_headers = {"OpenAI-Beta": "chatkit_beta=v1", **(extra_headers or {})} - body = deepcopy_minimal({"file": file}) - files = extract_files(cast(Mapping[str, object], body), paths=[["file"]]) - if files: - # It should be noted that the actual Content-Type header that will be - # sent to the server will contain a `boundary` parameter, e.g. - # multipart/form-data; boundary=---abc-- - extra_headers["Content-Type"] = "multipart/form-data" - return cast( - ChatKitUploadFileResponse, - self._post( - "/chatkit/files", - body=maybe_transform(body, chatkit_upload_file_params.ChatKitUploadFileParams), - files=files, - options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout - ), - cast_to=cast( - Any, ChatKitUploadFileResponse - ), # Union types cannot be passed in as arguments in the type system - ), - ) - class AsyncChatKit(AsyncAPIResource): @cached_property @@ -141,64 +81,11 @@ def with_streaming_response(self) -> AsyncChatKitWithStreamingResponse: """ return AsyncChatKitWithStreamingResponse(self) - async def upload_file( - self, - *, - file: FileTypes, - # 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, - ) -> ChatKitUploadFileResponse: - """ - Upload a ChatKit file - - Args: - file: Binary file contents to store with the ChatKit session. Supports PDFs and PNG, - JPG, JPEG, GIF, or WEBP images. - - 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 - """ - extra_headers = {"OpenAI-Beta": "chatkit_beta=v1", **(extra_headers or {})} - body = deepcopy_minimal({"file": file}) - files = extract_files(cast(Mapping[str, object], body), paths=[["file"]]) - if files: - # It should be noted that the actual Content-Type header that will be - # sent to the server will contain a `boundary` parameter, e.g. - # multipart/form-data; boundary=---abc-- - extra_headers["Content-Type"] = "multipart/form-data" - return cast( - ChatKitUploadFileResponse, - await self._post( - "/chatkit/files", - body=await async_maybe_transform(body, chatkit_upload_file_params.ChatKitUploadFileParams), - files=files, - options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout - ), - cast_to=cast( - Any, ChatKitUploadFileResponse - ), # Union types cannot be passed in as arguments in the type system - ), - ) - class ChatKitWithRawResponse: def __init__(self, chatkit: ChatKit) -> None: self._chatkit = chatkit - self.upload_file = _legacy_response.to_raw_response_wrapper( - chatkit.upload_file, - ) - @cached_property def sessions(self) -> SessionsWithRawResponse: return SessionsWithRawResponse(self._chatkit.sessions) @@ -212,10 +99,6 @@ class AsyncChatKitWithRawResponse: def __init__(self, chatkit: AsyncChatKit) -> None: self._chatkit = chatkit - self.upload_file = _legacy_response.async_to_raw_response_wrapper( - chatkit.upload_file, - ) - @cached_property def sessions(self) -> AsyncSessionsWithRawResponse: return AsyncSessionsWithRawResponse(self._chatkit.sessions) @@ -229,10 +112,6 @@ class ChatKitWithStreamingResponse: def __init__(self, chatkit: ChatKit) -> None: self._chatkit = chatkit - self.upload_file = to_streamed_response_wrapper( - chatkit.upload_file, - ) - @cached_property def sessions(self) -> SessionsWithStreamingResponse: return SessionsWithStreamingResponse(self._chatkit.sessions) @@ -246,10 +125,6 @@ class AsyncChatKitWithStreamingResponse: def __init__(self, chatkit: AsyncChatKit) -> None: self._chatkit = chatkit - self.upload_file = async_to_streamed_response_wrapper( - chatkit.upload_file, - ) - @cached_property def sessions(self) -> AsyncSessionsWithStreamingResponse: return AsyncSessionsWithStreamingResponse(self._chatkit.sessions) diff --git a/portkey_ai/_vendor/openai/resources/beta/threads/runs/runs.py b/portkey_ai/_vendor/openai/resources/beta/threads/runs/runs.py index ec2dfa84..2753f581 100644 --- a/portkey_ai/_vendor/openai/resources/beta/threads/runs/runs.py +++ b/portkey_ai/_vendor/openai/resources/beta/threads/runs/runs.py @@ -173,6 +173,9 @@ def create( effort can result in faster responses and fewer tokens used on reasoning in a response. + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. + response_format: Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4), @@ -327,6 +330,9 @@ def create( effort can result in faster responses and fewer tokens used on reasoning in a response. + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. + response_format: Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4), @@ -477,6 +483,9 @@ def create( effort can result in faster responses and fewer tokens used on reasoning in a response. + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. + response_format: Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4), @@ -1603,6 +1612,9 @@ async def create( effort can result in faster responses and fewer tokens used on reasoning in a response. + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. + response_format: Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4), @@ -1757,6 +1769,9 @@ async def create( effort can result in faster responses and fewer tokens used on reasoning in a response. + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. + response_format: Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4), @@ -1907,6 +1922,9 @@ async def create( effort can result in faster responses and fewer tokens used on reasoning in a response. + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. + response_format: Specifies the format that the model must output. Compatible with [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4), diff --git a/portkey_ai/_vendor/openai/resources/chat/completions/completions.py b/portkey_ai/_vendor/openai/resources/chat/completions/completions.py index 329634ba..4b73c69a 100644 --- a/portkey_ai/_vendor/openai/resources/chat/completions/completions.py +++ b/portkey_ai/_vendor/openai/resources/chat/completions/completions.py @@ -407,6 +407,9 @@ def create( effort can result in faster responses and fewer tokens used on reasoning in a response. + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. + response_format: An object specifying the format that the model must output. Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured @@ -704,6 +707,9 @@ def create( effort can result in faster responses and fewer tokens used on reasoning in a response. + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. + response_format: An object specifying the format that the model must output. Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured @@ -992,6 +998,9 @@ def create( effort can result in faster responses and fewer tokens used on reasoning in a response. + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. + response_format: An object specifying the format that the model must output. Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured @@ -1845,6 +1854,9 @@ async def create( effort can result in faster responses and fewer tokens used on reasoning in a response. + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. + response_format: An object specifying the format that the model must output. Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured @@ -2142,6 +2154,9 @@ async def create( effort can result in faster responses and fewer tokens used on reasoning in a response. + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. + response_format: An object specifying the format that the model must output. Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured @@ -2430,6 +2445,9 @@ async def create( effort can result in faster responses and fewer tokens used on reasoning in a response. + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. + response_format: An object specifying the format that the model must output. Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured diff --git a/portkey_ai/_vendor/openai/resources/files.py b/portkey_ai/_vendor/openai/resources/files.py index 77bb2d61..cc117e7f 100644 --- a/portkey_ai/_vendor/openai/resources/files.py +++ b/portkey_ai/_vendor/openai/resources/files.py @@ -71,20 +71,19 @@ def create( up to 512 MB, and the size of all files uploaded by one organization can be up to 1 TB. - The Assistants API supports files up to 2 million tokens and of specific file - types. See the - [Assistants Tools guide](https://platform.openai.com/docs/assistants/tools) for - details. - - The Fine-tuning API only supports `.jsonl` files. The input also has certain - required formats for fine-tuning - [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input) or - [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input) - models. - - The Batch API only supports `.jsonl` files up to 200 MB in size. The input also - has a specific required - [format](https://platform.openai.com/docs/api-reference/batch/request-input). + - The Assistants API supports files up to 2 million tokens and of specific file + types. See the + [Assistants Tools guide](https://platform.openai.com/docs/assistants/tools) + for details. + - The Fine-tuning API only supports `.jsonl` files. The input also has certain + required formats for fine-tuning + [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input) + or + [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input) + models. + - The Batch API only supports `.jsonl` files up to 200 MB in size. The input + also has a specific required + [format](https://platform.openai.com/docs/api-reference/batch/request-input). Please [contact us](https://help.openai.com/) if you need to increase these storage limits. @@ -236,7 +235,7 @@ def delete( timeout: float | httpx.Timeout | None | NotGiven = not_given, ) -> FileDeleted: """ - Delete a file. + Delete a file and remove it from all vector stores. Args: extra_headers: Send extra headers @@ -388,20 +387,19 @@ async def create( up to 512 MB, and the size of all files uploaded by one organization can be up to 1 TB. - The Assistants API supports files up to 2 million tokens and of specific file - types. See the - [Assistants Tools guide](https://platform.openai.com/docs/assistants/tools) for - details. - - The Fine-tuning API only supports `.jsonl` files. The input also has certain - required formats for fine-tuning - [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input) or - [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input) - models. - - The Batch API only supports `.jsonl` files up to 200 MB in size. The input also - has a specific required - [format](https://platform.openai.com/docs/api-reference/batch/request-input). + - The Assistants API supports files up to 2 million tokens and of specific file + types. See the + [Assistants Tools guide](https://platform.openai.com/docs/assistants/tools) + for details. + - The Fine-tuning API only supports `.jsonl` files. The input also has certain + required formats for fine-tuning + [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input) + or + [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input) + models. + - The Batch API only supports `.jsonl` files up to 200 MB in size. The input + also has a specific required + [format](https://platform.openai.com/docs/api-reference/batch/request-input). Please [contact us](https://help.openai.com/) if you need to increase these storage limits. @@ -553,7 +551,7 @@ async def delete( timeout: float | httpx.Timeout | None | NotGiven = not_given, ) -> FileDeleted: """ - Delete a file. + Delete a file and remove it from all vector stores. Args: extra_headers: Send extra headers diff --git a/portkey_ai/_vendor/openai/resources/realtime/calls.py b/portkey_ai/_vendor/openai/resources/realtime/calls.py index a8c47617..7d2c92fe 100644 --- a/portkey_ai/_vendor/openai/resources/realtime/calls.py +++ b/portkey_ai/_vendor/openai/resources/realtime/calls.py @@ -195,8 +195,19 @@ def accept( `auto` will create a trace for the session with default values for the workflow name, group id, and metadata. - truncation: Controls how the realtime conversation is truncated prior to model inference. - The default is `auto`. + truncation: When the number of tokens in a conversation exceeds the model's input token + limit, the conversation be truncated, meaning messages (starting from the + oldest) will not be included in the model's context. A 32k context model with + 4,096 max output tokens can only include 28,224 tokens in the context before + truncation occurs. Clients can configure truncation behavior to truncate with a + lower max token limit, which is an effective way to control token usage and + cost. Truncation will reduce the number of cached tokens on the next turn + (busting the cache), since messages are dropped from the beginning of the + context. However, clients can also configure truncation to retain messages up to + a fraction of the maximum context size, which will reduce the need for future + truncations and thus improve the cache rate. Truncation can be disabled + entirely, which means the server will never truncate but would instead return an + error if the conversation exceeds the model's input token limit. extra_headers: Send extra headers @@ -504,8 +515,19 @@ async def accept( `auto` will create a trace for the session with default values for the workflow name, group id, and metadata. - truncation: Controls how the realtime conversation is truncated prior to model inference. - The default is `auto`. + truncation: When the number of tokens in a conversation exceeds the model's input token + limit, the conversation be truncated, meaning messages (starting from the + oldest) will not be included in the model's context. A 32k context model with + 4,096 max output tokens can only include 28,224 tokens in the context before + truncation occurs. Clients can configure truncation behavior to truncate with a + lower max token limit, which is an effective way to control token usage and + cost. Truncation will reduce the number of cached tokens on the next turn + (busting the cache), since messages are dropped from the beginning of the + context. However, clients can also configure truncation to retain messages up to + a fraction of the maximum context size, which will reduce the need for future + truncations and thus improve the cache rate. Truncation can be disabled + entirely, which means the server will never truncate but would instead return an + error if the conversation exceeds the model's input token limit. extra_headers: Send extra headers diff --git a/portkey_ai/_vendor/openai/resources/responses/__init__.py b/portkey_ai/_vendor/openai/resources/responses/__init__.py index ad19218b..51d318ad 100644 --- a/portkey_ai/_vendor/openai/resources/responses/__init__.py +++ b/portkey_ai/_vendor/openai/resources/responses/__init__.py @@ -16,6 +16,14 @@ InputItemsWithStreamingResponse, AsyncInputItemsWithStreamingResponse, ) +from .input_tokens import ( + InputTokens, + AsyncInputTokens, + InputTokensWithRawResponse, + AsyncInputTokensWithRawResponse, + InputTokensWithStreamingResponse, + AsyncInputTokensWithStreamingResponse, +) __all__ = [ "InputItems", @@ -24,6 +32,12 @@ "AsyncInputItemsWithRawResponse", "InputItemsWithStreamingResponse", "AsyncInputItemsWithStreamingResponse", + "InputTokens", + "AsyncInputTokens", + "InputTokensWithRawResponse", + "AsyncInputTokensWithRawResponse", + "InputTokensWithStreamingResponse", + "AsyncInputTokensWithStreamingResponse", "Responses", "AsyncResponses", "ResponsesWithRawResponse", diff --git a/portkey_ai/_vendor/openai/resources/responses/input_tokens.py b/portkey_ai/_vendor/openai/resources/responses/input_tokens.py new file mode 100644 index 00000000..0f47955f --- /dev/null +++ b/portkey_ai/_vendor/openai/resources/responses/input_tokens.py @@ -0,0 +1,309 @@ +# 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 + +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 ..._compat import cached_property +from ..._resource import SyncAPIResource, AsyncAPIResource +from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper +from ..._base_client import make_request_options +from ...types.responses import input_token_count_params +from ...types.responses.tool_param import ToolParam +from ...types.shared_params.reasoning import Reasoning +from ...types.responses.response_input_item_param import ResponseInputItemParam +from ...types.responses.input_token_count_response import InputTokenCountResponse + +__all__ = ["InputTokens", "AsyncInputTokens"] + + +class InputTokens(SyncAPIResource): + @cached_property + def with_raw_response(self) -> InputTokensWithRawResponse: + """ + This property can be used as a prefix for any HTTP method call to return + the raw response object instead of the parsed content. + + For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers + """ + return InputTokensWithRawResponse(self) + + @cached_property + def with_streaming_response(self) -> InputTokensWithStreamingResponse: + """ + An alternative to `.with_raw_response` that doesn't eagerly read the response body. + + For more information, see https://www.github.com/openai/openai-python#with_streaming_response + """ + return InputTokensWithStreamingResponse(self) + + def count( + self, + *, + conversation: Optional[input_token_count_params.Conversation] | Omit = omit, + input: Union[str, Iterable[ResponseInputItemParam], None] | Omit = omit, + instructions: Optional[str] | Omit = omit, + model: Optional[str] | Omit = omit, + parallel_tool_calls: Optional[bool] | Omit = omit, + previous_response_id: Optional[str] | Omit = omit, + reasoning: Optional[Reasoning] | Omit = omit, + text: Optional[input_token_count_params.Text] | Omit = omit, + tool_choice: Optional[input_token_count_params.ToolChoice] | Omit = omit, + tools: Optional[Iterable[ToolParam]] | Omit = omit, + truncation: Literal["auto", "disabled"] | 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, + ) -> InputTokenCountResponse: + """ + Get input token counts + + Args: + conversation: The conversation that this response belongs to. Items from this conversation are + prepended to `input_items` for this response request. Input items and output + items from this response are automatically added to this conversation after this + response completes. + + 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. + + model: Model ID used to generate the response, like `gpt-4o` 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. + + parallel_tool_calls: Whether to allow the model to run tool calls in parallel. + + 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`. + + reasoning: **gpt-5 and o-series models only** Configuration options for + [reasoning models](https://platform.openai.com/docs/guides/reasoning). + + text: Configuration options for a text response from the model. Can be plain text or + structured JSON data. Learn more: + + - [Text inputs and outputs](https://platform.openai.com/docs/guides/text) + - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs) + + tool_choice: How the model should select which tool (or tools) to use when generating a + response. See the `tools` parameter to see how to specify which tools the model + can call. + + tools: An array of tools the model may call while generating a response. You can + specify which tool to use by setting the `tool_choice` parameter. + + truncation: The truncation strategy to use for the model response. - `auto`: If the input to + this Response exceeds the model's context window size, the model will truncate + the response to fit the context window by dropping items from the beginning of + the conversation. - `disabled` (default): If the input size will exceed the + context window size for a model, the request will fail with a 400 error. + + 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/input_tokens", + body=maybe_transform( + { + "conversation": conversation, + "input": input, + "instructions": instructions, + "model": model, + "parallel_tool_calls": parallel_tool_calls, + "previous_response_id": previous_response_id, + "reasoning": reasoning, + "text": text, + "tool_choice": tool_choice, + "tools": tools, + "truncation": truncation, + }, + input_token_count_params.InputTokenCountParams, + ), + options=make_request_options( + extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout + ), + cast_to=InputTokenCountResponse, + ) + + +class AsyncInputTokens(AsyncAPIResource): + @cached_property + def with_raw_response(self) -> AsyncInputTokensWithRawResponse: + """ + This property can be used as a prefix for any HTTP method call to return + the raw response object instead of the parsed content. + + For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers + """ + return AsyncInputTokensWithRawResponse(self) + + @cached_property + def with_streaming_response(self) -> AsyncInputTokensWithStreamingResponse: + """ + An alternative to `.with_raw_response` that doesn't eagerly read the response body. + + For more information, see https://www.github.com/openai/openai-python#with_streaming_response + """ + return AsyncInputTokensWithStreamingResponse(self) + + async def count( + self, + *, + conversation: Optional[input_token_count_params.Conversation] | Omit = omit, + input: Union[str, Iterable[ResponseInputItemParam], None] | Omit = omit, + instructions: Optional[str] | Omit = omit, + model: Optional[str] | Omit = omit, + parallel_tool_calls: Optional[bool] | Omit = omit, + previous_response_id: Optional[str] | Omit = omit, + reasoning: Optional[Reasoning] | Omit = omit, + text: Optional[input_token_count_params.Text] | Omit = omit, + tool_choice: Optional[input_token_count_params.ToolChoice] | Omit = omit, + tools: Optional[Iterable[ToolParam]] | Omit = omit, + truncation: Literal["auto", "disabled"] | 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, + ) -> InputTokenCountResponse: + """ + Get input token counts + + Args: + conversation: The conversation that this response belongs to. Items from this conversation are + prepended to `input_items` for this response request. Input items and output + items from this response are automatically added to this conversation after this + response completes. + + 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. + + model: Model ID used to generate the response, like `gpt-4o` 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. + + parallel_tool_calls: Whether to allow the model to run tool calls in parallel. + + 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`. + + reasoning: **gpt-5 and o-series models only** Configuration options for + [reasoning models](https://platform.openai.com/docs/guides/reasoning). + + text: Configuration options for a text response from the model. Can be plain text or + structured JSON data. Learn more: + + - [Text inputs and outputs](https://platform.openai.com/docs/guides/text) + - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs) + + tool_choice: How the model should select which tool (or tools) to use when generating a + response. See the `tools` parameter to see how to specify which tools the model + can call. + + tools: An array of tools the model may call while generating a response. You can + specify which tool to use by setting the `tool_choice` parameter. + + truncation: The truncation strategy to use for the model response. - `auto`: If the input to + this Response exceeds the model's context window size, the model will truncate + the response to fit the context window by dropping items from the beginning of + the conversation. - `disabled` (default): If the input size will exceed the + context window size for a model, the request will fail with a 400 error. + + 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/input_tokens", + body=await async_maybe_transform( + { + "conversation": conversation, + "input": input, + "instructions": instructions, + "model": model, + "parallel_tool_calls": parallel_tool_calls, + "previous_response_id": previous_response_id, + "reasoning": reasoning, + "text": text, + "tool_choice": tool_choice, + "tools": tools, + "truncation": truncation, + }, + input_token_count_params.InputTokenCountParams, + ), + options=make_request_options( + extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout + ), + cast_to=InputTokenCountResponse, + ) + + +class InputTokensWithRawResponse: + def __init__(self, input_tokens: InputTokens) -> None: + self._input_tokens = input_tokens + + self.count = _legacy_response.to_raw_response_wrapper( + input_tokens.count, + ) + + +class AsyncInputTokensWithRawResponse: + def __init__(self, input_tokens: AsyncInputTokens) -> None: + self._input_tokens = input_tokens + + self.count = _legacy_response.async_to_raw_response_wrapper( + input_tokens.count, + ) + + +class InputTokensWithStreamingResponse: + def __init__(self, input_tokens: InputTokens) -> None: + self._input_tokens = input_tokens + + self.count = to_streamed_response_wrapper( + input_tokens.count, + ) + + +class AsyncInputTokensWithStreamingResponse: + def __init__(self, input_tokens: AsyncInputTokens) -> None: + self._input_tokens = input_tokens + + self.count = async_to_streamed_response_wrapper( + input_tokens.count, + ) diff --git a/portkey_ai/_vendor/openai/resources/responses/responses.py b/portkey_ai/_vendor/openai/resources/responses/responses.py index 0a89d0c1..439cf8d3 100644 --- a/portkey_ai/_vendor/openai/resources/responses/responses.py +++ b/portkey_ai/_vendor/openai/resources/responses/responses.py @@ -24,6 +24,14 @@ ) from ..._streaming import Stream, AsyncStream from ...lib._tools import PydanticFunctionTool, ResponsesPydanticFunctionTool +from .input_tokens import ( + InputTokens, + AsyncInputTokens, + InputTokensWithRawResponse, + AsyncInputTokensWithRawResponse, + InputTokensWithStreamingResponse, + AsyncInputTokensWithStreamingResponse, +) from ..._base_client import make_request_options from ...types.responses import response_create_params, response_retrieve_params from ...lib._parsing._responses import ( @@ -52,6 +60,10 @@ class Responses(SyncAPIResource): def input_items(self) -> InputItems: return InputItems(self._client) + @cached_property + def input_tokens(self) -> InputTokens: + return InputTokens(self._client) + @cached_property def with_raw_response(self) -> ResponsesWithRawResponse: """ @@ -1483,6 +1495,10 @@ class AsyncResponses(AsyncAPIResource): def input_items(self) -> AsyncInputItems: return AsyncInputItems(self._client) + @cached_property + def input_tokens(self) -> AsyncInputTokens: + return AsyncInputTokens(self._client) + @cached_property def with_raw_response(self) -> AsyncResponsesWithRawResponse: """ @@ -2938,6 +2954,10 @@ def __init__(self, responses: Responses) -> None: def input_items(self) -> InputItemsWithRawResponse: return InputItemsWithRawResponse(self._responses.input_items) + @cached_property + def input_tokens(self) -> InputTokensWithRawResponse: + return InputTokensWithRawResponse(self._responses.input_tokens) + class AsyncResponsesWithRawResponse: def __init__(self, responses: AsyncResponses) -> None: @@ -2963,6 +2983,10 @@ def __init__(self, responses: AsyncResponses) -> None: def input_items(self) -> AsyncInputItemsWithRawResponse: return AsyncInputItemsWithRawResponse(self._responses.input_items) + @cached_property + def input_tokens(self) -> AsyncInputTokensWithRawResponse: + return AsyncInputTokensWithRawResponse(self._responses.input_tokens) + class ResponsesWithStreamingResponse: def __init__(self, responses: Responses) -> None: @@ -2985,6 +3009,10 @@ def __init__(self, responses: Responses) -> None: def input_items(self) -> InputItemsWithStreamingResponse: return InputItemsWithStreamingResponse(self._responses.input_items) + @cached_property + def input_tokens(self) -> InputTokensWithStreamingResponse: + return InputTokensWithStreamingResponse(self._responses.input_tokens) + class AsyncResponsesWithStreamingResponse: def __init__(self, responses: AsyncResponses) -> None: @@ -3007,6 +3035,10 @@ def __init__(self, responses: AsyncResponses) -> None: def input_items(self) -> AsyncInputItemsWithStreamingResponse: return AsyncInputItemsWithStreamingResponse(self._responses.input_items) + @cached_property + def input_tokens(self) -> AsyncInputTokensWithStreamingResponse: + return AsyncInputTokensWithStreamingResponse(self._responses.input_tokens) + def _make_tools(tools: Iterable[ParseableToolParam] | Omit) -> List[ToolParam] | Omit: if not is_given(tools): diff --git a/portkey_ai/_vendor/openai/resources/uploads/uploads.py b/portkey_ai/_vendor/openai/resources/uploads/uploads.py index 8953256f..e8c047bd 100644 --- a/portkey_ai/_vendor/openai/resources/uploads/uploads.py +++ b/portkey_ai/_vendor/openai/resources/uploads/uploads.py @@ -157,9 +157,8 @@ def upload_file_chunked( part = self.parts.create(upload_id=upload.id, data=data) log.info("Uploaded part %s for upload %s", part.id, upload.id) part_ids.append(part.id) - except Exception: + finally: buf.close() - raise return self.complete(upload_id=upload.id, part_ids=part_ids, md5=md5) @@ -465,9 +464,8 @@ async def upload_file_chunked( part = await self.parts.create(upload_id=upload.id, data=data) log.info("Uploaded part %s for upload %s", part.id, upload.id) part_ids.append(part.id) - except Exception: + finally: buf.close() - raise return await self.complete(upload_id=upload.id, part_ids=part_ids, md5=md5) diff --git a/portkey_ai/_vendor/openai/resources/vector_stores/file_batches.py b/portkey_ai/_vendor/openai/resources/vector_stores/file_batches.py index 0f989821..d31fb59b 100644 --- a/portkey_ai/_vendor/openai/resources/vector_stores/file_batches.py +++ b/portkey_ai/_vendor/openai/resources/vector_stores/file_batches.py @@ -52,9 +52,10 @@ def create( self, vector_store_id: str, *, - file_ids: SequenceNotStr[str], attributes: Optional[Dict[str, Union[str, float, bool]]] | Omit = omit, chunking_strategy: FileChunkingStrategyParam | Omit = omit, + file_ids: SequenceNotStr[str] | Omit = omit, + files: Iterable[file_batch_create_params.File] | 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, @@ -66,10 +67,6 @@ def create( Create a vector store file batch. Args: - file_ids: A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that - the vector store should use. Useful for tools like `file_search` that can access - files. - attributes: Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. Keys are strings with a maximum @@ -79,6 +76,16 @@ def create( chunking_strategy: The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy. Only applicable if `file_ids` is non-empty. + file_ids: A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that + the vector store should use. Useful for tools like `file_search` that can access + files. If `attributes` or `chunking_strategy` are provided, they will be applied + to all files in the batch. Mutually exclusive with `files`. + + files: A list of objects that each include a `file_id` plus optional `attributes` or + `chunking_strategy`. Use this when you need to override metadata for specific + files. The global `attributes` or `chunking_strategy` will be ignored and must + be specified for each file. Mutually exclusive with `file_ids`. + extra_headers: Send extra headers extra_query: Add additional query parameters to the request @@ -94,9 +101,10 @@ def create( f"/vector_stores/{vector_store_id}/file_batches", body=maybe_transform( { - "file_ids": file_ids, "attributes": attributes, "chunking_strategy": chunking_strategy, + "file_ids": file_ids, + "files": files, }, file_batch_create_params.FileBatchCreateParams, ), @@ -389,9 +397,10 @@ async def create( self, vector_store_id: str, *, - file_ids: SequenceNotStr[str], attributes: Optional[Dict[str, Union[str, float, bool]]] | Omit = omit, chunking_strategy: FileChunkingStrategyParam | Omit = omit, + file_ids: SequenceNotStr[str] | Omit = omit, + files: Iterable[file_batch_create_params.File] | 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, @@ -403,10 +412,6 @@ async def create( Create a vector store file batch. Args: - file_ids: A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that - the vector store should use. Useful for tools like `file_search` that can access - files. - attributes: Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. Keys are strings with a maximum @@ -416,6 +421,16 @@ async def create( chunking_strategy: The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy. Only applicable if `file_ids` is non-empty. + file_ids: A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that + the vector store should use. Useful for tools like `file_search` that can access + files. If `attributes` or `chunking_strategy` are provided, they will be applied + to all files in the batch. Mutually exclusive with `files`. + + files: A list of objects that each include a `file_id` plus optional `attributes` or + `chunking_strategy`. Use this when you need to override metadata for specific + files. The global `attributes` or `chunking_strategy` will be ignored and must + be specified for each file. Mutually exclusive with `file_ids`. + extra_headers: Send extra headers extra_query: Add additional query parameters to the request @@ -431,9 +446,10 @@ async def create( f"/vector_stores/{vector_store_id}/file_batches", body=await async_maybe_transform( { - "file_ids": file_ids, "attributes": attributes, "chunking_strategy": chunking_strategy, + "file_ids": file_ids, + "files": files, }, file_batch_create_params.FileBatchCreateParams, ), diff --git a/portkey_ai/_vendor/openai/resources/vector_stores/vector_stores.py b/portkey_ai/_vendor/openai/resources/vector_stores/vector_stores.py index 39548936..490e3e7f 100644 --- a/portkey_ai/_vendor/openai/resources/vector_stores/vector_stores.py +++ b/portkey_ai/_vendor/openai/resources/vector_stores/vector_stores.py @@ -79,6 +79,7 @@ def create( self, *, chunking_strategy: FileChunkingStrategyParam | Omit = omit, + description: str | Omit = omit, expires_after: vector_store_create_params.ExpiresAfter | Omit = omit, file_ids: SequenceNotStr[str] | Omit = omit, metadata: Optional[Metadata] | Omit = omit, @@ -97,6 +98,9 @@ def create( chunking_strategy: The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy. Only applicable if `file_ids` is non-empty. + description: A description for the vector store. Can be used to describe the vector store's + purpose. + expires_after: The expiration policy for a vector store. file_ids: A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that @@ -126,6 +130,7 @@ def create( body=maybe_transform( { "chunking_strategy": chunking_strategy, + "description": description, "expires_after": expires_after, "file_ids": file_ids, "metadata": metadata, @@ -424,6 +429,7 @@ async def create( self, *, chunking_strategy: FileChunkingStrategyParam | Omit = omit, + description: str | Omit = omit, expires_after: vector_store_create_params.ExpiresAfter | Omit = omit, file_ids: SequenceNotStr[str] | Omit = omit, metadata: Optional[Metadata] | Omit = omit, @@ -442,6 +448,9 @@ async def create( chunking_strategy: The chunking strategy used to chunk the file(s). If not set, will use the `auto` strategy. Only applicable if `file_ids` is non-empty. + description: A description for the vector store. Can be used to describe the vector store's + purpose. + expires_after: The expiration policy for a vector store. file_ids: A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that @@ -471,6 +480,7 @@ async def create( body=await async_maybe_transform( { "chunking_strategy": chunking_strategy, + "description": description, "expires_after": expires_after, "file_ids": file_ids, "metadata": metadata, diff --git a/portkey_ai/_vendor/openai/types/audio/__init__.py b/portkey_ai/_vendor/openai/types/audio/__init__.py index 396944ee..2ff2b818 100644 --- a/portkey_ai/_vendor/openai/types/audio/__init__.py +++ b/portkey_ai/_vendor/openai/types/audio/__init__.py @@ -11,10 +11,13 @@ from .transcription_include import TranscriptionInclude as TranscriptionInclude from .transcription_segment import TranscriptionSegment as TranscriptionSegment from .transcription_verbose import TranscriptionVerbose as TranscriptionVerbose +from .transcription_diarized import TranscriptionDiarized as TranscriptionDiarized from .translation_create_params import TranslationCreateParams as TranslationCreateParams from .transcription_stream_event import TranscriptionStreamEvent as TranscriptionStreamEvent from .transcription_create_params import TranscriptionCreateParams as TranscriptionCreateParams from .translation_create_response import TranslationCreateResponse as TranslationCreateResponse from .transcription_create_response import TranscriptionCreateResponse as TranscriptionCreateResponse from .transcription_text_done_event import TranscriptionTextDoneEvent as TranscriptionTextDoneEvent +from .transcription_diarized_segment import TranscriptionDiarizedSegment as TranscriptionDiarizedSegment from .transcription_text_delta_event import TranscriptionTextDeltaEvent as TranscriptionTextDeltaEvent +from .transcription_text_segment_event import TranscriptionTextSegmentEvent as TranscriptionTextSegmentEvent diff --git a/portkey_ai/_vendor/openai/types/audio/transcription_create_params.py b/portkey_ai/_vendor/openai/types/audio/transcription_create_params.py index f7abcced..adaef9f5 100644 --- a/portkey_ai/_vendor/openai/types/audio/transcription_create_params.py +++ b/portkey_ai/_vendor/openai/types/audio/transcription_create_params.py @@ -5,7 +5,7 @@ from typing import List, Union, Optional from typing_extensions import Literal, Required, TypeAlias, TypedDict -from ..._types import FileTypes +from ..._types import FileTypes, SequenceNotStr from ..audio_model import AudioModel from .transcription_include import TranscriptionInclude from ..audio_response_format import AudioResponseFormat @@ -29,8 +29,9 @@ class TranscriptionCreateParamsBase(TypedDict, total=False): model: Required[Union[str, AudioModel]] """ID of the model to use. - The options are `gpt-4o-transcribe`, `gpt-4o-mini-transcribe`, and `whisper-1` - (which is powered by our open source Whisper V2 model). + The options are `gpt-4o-transcribe`, `gpt-4o-mini-transcribe`, `whisper-1` + (which is powered by our open source Whisper V2 model), and + `gpt-4o-transcribe-diarize`. """ chunking_strategy: Optional[ChunkingStrategy] @@ -39,7 +40,8 @@ class TranscriptionCreateParamsBase(TypedDict, total=False): When set to `"auto"`, the server first normalizes loudness and then uses voice activity detection (VAD) to choose boundaries. `server_vad` object can be provided to tweak VAD detection parameters manually. If unset, the audio is - transcribed as a single block. + transcribed as a single block. Required when using `gpt-4o-transcribe-diarize` + for inputs longer than 30 seconds. """ include: List[TranscriptionInclude] @@ -48,7 +50,24 @@ class TranscriptionCreateParamsBase(TypedDict, total=False): return the log probabilities of the tokens in the response to understand the model's confidence in the transcription. `logprobs` only works with response_format set to `json` and only with the models `gpt-4o-transcribe` and - `gpt-4o-mini-transcribe`. + `gpt-4o-mini-transcribe`. This field is not supported when using + `gpt-4o-transcribe-diarize`. + """ + + known_speaker_names: SequenceNotStr[str] + """ + Optional list of speaker names that correspond to the audio samples provided in + `known_speaker_references[]`. Each entry should be a short identifier (for + example `customer` or `agent`). Up to 4 speakers are supported. + """ + + known_speaker_references: SequenceNotStr[str] + """ + Optional list of audio samples (as + [data URLs](https://developer.mozilla.org/en-US/docs/Web/HTTP/Basics_of_HTTP/Data_URLs)) + that contain known speaker references matching `known_speaker_names[]`. Each + sample must be between 2 and 10 seconds, and can use any of the same input audio + formats supported by `file`. """ language: str @@ -64,14 +83,17 @@ class TranscriptionCreateParamsBase(TypedDict, total=False): segment. The [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting) - should match the audio language. + should match the audio language. This field is not supported when using + `gpt-4o-transcribe-diarize`. """ response_format: AudioResponseFormat """ The format of the output, in one of these options: `json`, `text`, `srt`, - `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`, - the only supported format is `json`. + `verbose_json`, `vtt`, or `diarized_json`. For `gpt-4o-transcribe` and + `gpt-4o-mini-transcribe`, the only supported format is `json`. For + `gpt-4o-transcribe-diarize`, the supported formats are `json`, `text`, and + `diarized_json`, with `diarized_json` required to receive speaker annotations. """ temperature: float @@ -89,7 +111,8 @@ class TranscriptionCreateParamsBase(TypedDict, total=False): `response_format` must be set `verbose_json` to use timestamp granularities. Either or both of these options are supported: `word`, or `segment`. Note: There is no additional latency for segment timestamps, but generating word timestamps - incurs additional latency. + incurs additional latency. This option is not available for + `gpt-4o-transcribe-diarize`. """ diff --git a/portkey_ai/_vendor/openai/types/audio/transcription_create_response.py b/portkey_ai/_vendor/openai/types/audio/transcription_create_response.py index 2f7bed81..5717a3e7 100644 --- a/portkey_ai/_vendor/openai/types/audio/transcription_create_response.py +++ b/portkey_ai/_vendor/openai/types/audio/transcription_create_response.py @@ -5,7 +5,8 @@ from .transcription import Transcription from .transcription_verbose import TranscriptionVerbose +from .transcription_diarized import TranscriptionDiarized __all__ = ["TranscriptionCreateResponse"] -TranscriptionCreateResponse: TypeAlias = Union[Transcription, TranscriptionVerbose] +TranscriptionCreateResponse: TypeAlias = Union[Transcription, TranscriptionDiarized, TranscriptionVerbose] diff --git a/portkey_ai/_vendor/openai/types/audio/transcription_diarized.py b/portkey_ai/_vendor/openai/types/audio/transcription_diarized.py new file mode 100644 index 00000000..b7dd2b8e --- /dev/null +++ b/portkey_ai/_vendor/openai/types/audio/transcription_diarized.py @@ -0,0 +1,63 @@ +# 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 .transcription_diarized_segment import TranscriptionDiarizedSegment + +__all__ = ["TranscriptionDiarized", "Usage", "UsageTokens", "UsageTokensInputTokenDetails", "UsageDuration"] + + +class UsageTokensInputTokenDetails(BaseModel): + audio_tokens: Optional[int] = None + """Number of audio tokens billed for this request.""" + + text_tokens: Optional[int] = None + """Number of text tokens billed for this request.""" + + +class UsageTokens(BaseModel): + input_tokens: int + """Number of input tokens billed for this request.""" + + output_tokens: int + """Number of output tokens generated.""" + + total_tokens: int + """Total number of tokens used (input + output).""" + + type: Literal["tokens"] + """The type of the usage object. Always `tokens` for this variant.""" + + input_token_details: Optional[UsageTokensInputTokenDetails] = None + """Details about the input tokens billed for this request.""" + + +class UsageDuration(BaseModel): + seconds: float + """Duration of the input audio in seconds.""" + + type: Literal["duration"] + """The type of the usage object. Always `duration` for this variant.""" + + +Usage: TypeAlias = Annotated[Union[UsageTokens, UsageDuration], PropertyInfo(discriminator="type")] + + +class TranscriptionDiarized(BaseModel): + duration: float + """Duration of the input audio in seconds.""" + + segments: List[TranscriptionDiarizedSegment] + """Segments of the transcript annotated with timestamps and speaker labels.""" + + task: Literal["transcribe"] + """The type of task that was run. Always `transcribe`.""" + + text: str + """The concatenated transcript text for the entire audio input.""" + + usage: Optional[Usage] = None + """Token or duration usage statistics for the request.""" diff --git a/portkey_ai/_vendor/openai/types/audio/transcription_diarized_segment.py b/portkey_ai/_vendor/openai/types/audio/transcription_diarized_segment.py new file mode 100644 index 00000000..fe87bb4f --- /dev/null +++ b/portkey_ai/_vendor/openai/types/audio/transcription_diarized_segment.py @@ -0,0 +1,32 @@ +# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +from typing_extensions import Literal + +from ..._models import BaseModel + +__all__ = ["TranscriptionDiarizedSegment"] + + +class TranscriptionDiarizedSegment(BaseModel): + id: str + """Unique identifier for the segment.""" + + end: float + """End timestamp of the segment in seconds.""" + + speaker: str + """Speaker label for this segment. + + When known speakers are provided, the label matches `known_speaker_names[]`. + Otherwise speakers are labeled sequentially using capital letters (`A`, `B`, + ...). + """ + + start: float + """Start timestamp of the segment in seconds.""" + + text: str + """Transcript text for this segment.""" + + type: Literal["transcript.text.segment"] + """The type of the segment. Always `transcript.text.segment`.""" diff --git a/portkey_ai/_vendor/openai/types/audio/transcription_stream_event.py b/portkey_ai/_vendor/openai/types/audio/transcription_stream_event.py index 757077a2..77d3a3ae 100644 --- a/portkey_ai/_vendor/openai/types/audio/transcription_stream_event.py +++ b/portkey_ai/_vendor/openai/types/audio/transcription_stream_event.py @@ -6,9 +6,11 @@ from ..._utils import PropertyInfo from .transcription_text_done_event import TranscriptionTextDoneEvent from .transcription_text_delta_event import TranscriptionTextDeltaEvent +from .transcription_text_segment_event import TranscriptionTextSegmentEvent __all__ = ["TranscriptionStreamEvent"] TranscriptionStreamEvent: TypeAlias = Annotated[ - Union[TranscriptionTextDeltaEvent, TranscriptionTextDoneEvent], PropertyInfo(discriminator="type") + Union[TranscriptionTextSegmentEvent, TranscriptionTextDeltaEvent, TranscriptionTextDoneEvent], + PropertyInfo(discriminator="type"), ] diff --git a/portkey_ai/_vendor/openai/types/audio/transcription_text_delta_event.py b/portkey_ai/_vendor/openai/types/audio/transcription_text_delta_event.py index 36c52f06..363b6a63 100644 --- a/portkey_ai/_vendor/openai/types/audio/transcription_text_delta_event.py +++ b/portkey_ai/_vendor/openai/types/audio/transcription_text_delta_event.py @@ -33,3 +33,9 @@ class TranscriptionTextDeltaEvent(BaseModel): [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription) with the `include[]` parameter set to `logprobs`. """ + + segment_id: Optional[str] = None + """Identifier of the diarized segment that this delta belongs to. + + Only present when using `gpt-4o-transcribe-diarize`. + """ diff --git a/portkey_ai/_vendor/openai/types/audio/transcription_text_segment_event.py b/portkey_ai/_vendor/openai/types/audio/transcription_text_segment_event.py new file mode 100644 index 00000000..d4f76645 --- /dev/null +++ b/portkey_ai/_vendor/openai/types/audio/transcription_text_segment_event.py @@ -0,0 +1,27 @@ +# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +from typing_extensions import Literal + +from ..._models import BaseModel + +__all__ = ["TranscriptionTextSegmentEvent"] + + +class TranscriptionTextSegmentEvent(BaseModel): + id: str + """Unique identifier for the segment.""" + + end: float + """End timestamp of the segment in seconds.""" + + speaker: str + """Speaker label for this segment.""" + + start: float + """Start timestamp of the segment in seconds.""" + + text: str + """Transcript text for this segment.""" + + type: Literal["transcript.text.segment"] + """The type of the event. Always `transcript.text.segment`.""" diff --git a/portkey_ai/_vendor/openai/types/audio_model.py b/portkey_ai/_vendor/openai/types/audio_model.py index 4d14d601..68031a21 100644 --- a/portkey_ai/_vendor/openai/types/audio_model.py +++ b/portkey_ai/_vendor/openai/types/audio_model.py @@ -4,4 +4,4 @@ __all__ = ["AudioModel"] -AudioModel: TypeAlias = Literal["whisper-1", "gpt-4o-transcribe", "gpt-4o-mini-transcribe"] +AudioModel: TypeAlias = Literal["whisper-1", "gpt-4o-transcribe", "gpt-4o-mini-transcribe", "gpt-4o-transcribe-diarize"] diff --git a/portkey_ai/_vendor/openai/types/audio_response_format.py b/portkey_ai/_vendor/openai/types/audio_response_format.py index f8c8d459..1897aaf6 100644 --- a/portkey_ai/_vendor/openai/types/audio_response_format.py +++ b/portkey_ai/_vendor/openai/types/audio_response_format.py @@ -4,4 +4,4 @@ __all__ = ["AudioResponseFormat"] -AudioResponseFormat: TypeAlias = Literal["json", "text", "srt", "verbose_json", "vtt"] +AudioResponseFormat: TypeAlias = Literal["json", "text", "srt", "verbose_json", "vtt", "diarized_json"] diff --git a/portkey_ai/_vendor/openai/types/beta/__init__.py b/portkey_ai/_vendor/openai/types/beta/__init__.py index 9ef62838..deb23696 100644 --- a/portkey_ai/_vendor/openai/types/beta/__init__.py +++ b/portkey_ai/_vendor/openai/types/beta/__init__.py @@ -4,8 +4,6 @@ from .thread import Thread as Thread from .assistant import Assistant as Assistant -from .file_part import FilePart as FilePart -from .image_part import ImagePart as ImagePart from .function_tool import FunctionTool as FunctionTool from .assistant_tool import AssistantTool as AssistantTool from .thread_deleted import ThreadDeleted as ThreadDeleted @@ -23,11 +21,9 @@ from .file_search_tool_param import FileSearchToolParam as FileSearchToolParam from .assistant_create_params import AssistantCreateParams as AssistantCreateParams from .assistant_update_params import AssistantUpdateParams as AssistantUpdateParams -from .chatkit_upload_file_params import ChatKitUploadFileParams as ChatKitUploadFileParams from .assistant_tool_choice_param import AssistantToolChoiceParam as AssistantToolChoiceParam from .code_interpreter_tool_param import CodeInterpreterToolParam as CodeInterpreterToolParam from .assistant_tool_choice_option import AssistantToolChoiceOption as AssistantToolChoiceOption -from .chatkit_upload_file_response import ChatKitUploadFileResponse as ChatKitUploadFileResponse from .thread_create_and_run_params import ThreadCreateAndRunParams as ThreadCreateAndRunParams from .assistant_tool_choice_function import AssistantToolChoiceFunction as AssistantToolChoiceFunction from .assistant_response_format_option import AssistantResponseFormatOption as AssistantResponseFormatOption diff --git a/portkey_ai/_vendor/openai/types/beta/assistant_create_params.py b/portkey_ai/_vendor/openai/types/beta/assistant_create_params.py index 07f8f28f..6fb1551f 100644 --- a/portkey_ai/_vendor/openai/types/beta/assistant_create_params.py +++ b/portkey_ai/_vendor/openai/types/beta/assistant_create_params.py @@ -65,6 +65,9 @@ class AssistantCreateParams(TypedDict, total=False): supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. + + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. """ response_format: Optional[AssistantResponseFormatOptionParam] diff --git a/portkey_ai/_vendor/openai/types/beta/assistant_update_params.py b/portkey_ai/_vendor/openai/types/beta/assistant_update_params.py index 45d9f984..6d20b8e0 100644 --- a/portkey_ai/_vendor/openai/types/beta/assistant_update_params.py +++ b/portkey_ai/_vendor/openai/types/beta/assistant_update_params.py @@ -100,6 +100,9 @@ class AssistantUpdateParams(TypedDict, total=False): supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. + + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. """ response_format: Optional[AssistantResponseFormatOptionParam] diff --git a/portkey_ai/_vendor/openai/types/beta/chatkit_upload_file_params.py b/portkey_ai/_vendor/openai/types/beta/chatkit_upload_file_params.py deleted file mode 100644 index 87dc9936..00000000 --- a/portkey_ai/_vendor/openai/types/beta/chatkit_upload_file_params.py +++ /dev/null @@ -1,17 +0,0 @@ -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from __future__ import annotations - -from typing_extensions import Required, TypedDict - -from ..._types import FileTypes - -__all__ = ["ChatKitUploadFileParams"] - - -class ChatKitUploadFileParams(TypedDict, total=False): - file: Required[FileTypes] - """Binary file contents to store with the ChatKit session. - - Supports PDFs and PNG, JPG, JPEG, GIF, or WEBP images. - """ diff --git a/portkey_ai/_vendor/openai/types/beta/chatkit_upload_file_response.py b/portkey_ai/_vendor/openai/types/beta/chatkit_upload_file_response.py deleted file mode 100644 index 9527df76..00000000 --- a/portkey_ai/_vendor/openai/types/beta/chatkit_upload_file_response.py +++ /dev/null @@ -1,12 +0,0 @@ -# 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 .file_part import FilePart -from .image_part import ImagePart - -__all__ = ["ChatKitUploadFileResponse"] - -ChatKitUploadFileResponse: TypeAlias = Annotated[Union[FilePart, ImagePart], PropertyInfo(discriminator="type")] diff --git a/portkey_ai/_vendor/openai/types/beta/file_part.py b/portkey_ai/_vendor/openai/types/beta/file_part.py deleted file mode 100644 index cf60bddc..00000000 --- a/portkey_ai/_vendor/openai/types/beta/file_part.py +++ /dev/null @@ -1,28 +0,0 @@ -# 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__ = ["FilePart"] - - -class FilePart(BaseModel): - id: str - """Unique identifier for the uploaded file.""" - - mime_type: Optional[str] = None - """MIME type reported for the uploaded file. Defaults to null when unknown.""" - - name: Optional[str] = None - """Original filename supplied by the uploader. Defaults to null when unnamed.""" - - type: Literal["file"] - """Type discriminator that is always `file`.""" - - upload_url: Optional[str] = None - """Signed URL for downloading the uploaded file. - - Defaults to null when no download link is available. - """ diff --git a/portkey_ai/_vendor/openai/types/beta/image_part.py b/portkey_ai/_vendor/openai/types/beta/image_part.py deleted file mode 100644 index 4c06b473..00000000 --- a/portkey_ai/_vendor/openai/types/beta/image_part.py +++ /dev/null @@ -1,31 +0,0 @@ -# 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__ = ["ImagePart"] - - -class ImagePart(BaseModel): - id: str - """Unique identifier for the uploaded image.""" - - mime_type: str - """MIME type of the uploaded image.""" - - name: Optional[str] = None - """Original filename for the uploaded image. Defaults to null when unnamed.""" - - preview_url: str - """Preview URL that can be rendered inline for the image.""" - - type: Literal["image"] - """Type discriminator that is always `image`.""" - - upload_url: Optional[str] = None - """Signed URL for downloading the uploaded image. - - Defaults to null when no download link is available. - """ diff --git a/portkey_ai/_vendor/openai/types/beta/threads/run_create_params.py b/portkey_ai/_vendor/openai/types/beta/threads/run_create_params.py index cfd272f5..3190c8b3 100644 --- a/portkey_ai/_vendor/openai/types/beta/threads/run_create_params.py +++ b/portkey_ai/_vendor/openai/types/beta/threads/run_create_params.py @@ -114,6 +114,9 @@ class RunCreateParamsBase(TypedDict, total=False): supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. + + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. """ response_format: Optional[AssistantResponseFormatOptionParam] diff --git a/portkey_ai/_vendor/openai/types/chat/completion_create_params.py b/portkey_ai/_vendor/openai/types/chat/completion_create_params.py index 2ae81dfb..8b0fdd04 100644 --- a/portkey_ai/_vendor/openai/types/chat/completion_create_params.py +++ b/portkey_ai/_vendor/openai/types/chat/completion_create_params.py @@ -192,6 +192,9 @@ class CompletionCreateParamsBase(TypedDict, total=False): supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. + + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. """ response_format: ResponseFormat diff --git a/portkey_ai/_vendor/openai/types/evals/create_eval_completions_run_data_source.py b/portkey_ai/_vendor/openai/types/evals/create_eval_completions_run_data_source.py index 74323a73..a9f2fd08 100644 --- a/portkey_ai/_vendor/openai/types/evals/create_eval_completions_run_data_source.py +++ b/portkey_ai/_vendor/openai/types/evals/create_eval_completions_run_data_source.py @@ -175,6 +175,9 @@ class SamplingParams(BaseModel): supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. + + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. """ response_format: Optional[SamplingParamsResponseFormat] = None diff --git a/portkey_ai/_vendor/openai/types/evals/create_eval_completions_run_data_source_param.py b/portkey_ai/_vendor/openai/types/evals/create_eval_completions_run_data_source_param.py index 4e9c1fde..e682e2db 100644 --- a/portkey_ai/_vendor/openai/types/evals/create_eval_completions_run_data_source_param.py +++ b/portkey_ai/_vendor/openai/types/evals/create_eval_completions_run_data_source_param.py @@ -171,6 +171,9 @@ class SamplingParams(TypedDict, total=False): supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. + + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. """ response_format: SamplingParamsResponseFormat diff --git a/portkey_ai/_vendor/openai/types/evals/run_cancel_response.py b/portkey_ai/_vendor/openai/types/evals/run_cancel_response.py index d04d4ff6..084dd6ce 100644 --- a/portkey_ai/_vendor/openai/types/evals/run_cancel_response.py +++ b/portkey_ai/_vendor/openai/types/evals/run_cancel_response.py @@ -106,6 +106,9 @@ class DataSourceResponsesSourceResponses(BaseModel): supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. + + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. """ temperature: Optional[float] = None @@ -241,6 +244,9 @@ class DataSourceResponsesSamplingParams(BaseModel): supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. + + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. """ seed: Optional[int] = None diff --git a/portkey_ai/_vendor/openai/types/evals/run_create_params.py b/portkey_ai/_vendor/openai/types/evals/run_create_params.py index 6ff897b5..f114fae6 100644 --- a/portkey_ai/_vendor/openai/types/evals/run_create_params.py +++ b/portkey_ai/_vendor/openai/types/evals/run_create_params.py @@ -119,6 +119,9 @@ class DataSourceCreateEvalResponsesRunDataSourceSourceResponses(TypedDict, total supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. + + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. """ temperature: Optional[float] @@ -259,6 +262,9 @@ class DataSourceCreateEvalResponsesRunDataSourceSamplingParams(TypedDict, total= supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. + + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. """ seed: int diff --git a/portkey_ai/_vendor/openai/types/evals/run_create_response.py b/portkey_ai/_vendor/openai/types/evals/run_create_response.py index defa275c..1343335e 100644 --- a/portkey_ai/_vendor/openai/types/evals/run_create_response.py +++ b/portkey_ai/_vendor/openai/types/evals/run_create_response.py @@ -106,6 +106,9 @@ class DataSourceResponsesSourceResponses(BaseModel): supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. + + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. """ temperature: Optional[float] = None @@ -241,6 +244,9 @@ class DataSourceResponsesSamplingParams(BaseModel): supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. + + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. """ seed: Optional[int] = None diff --git a/portkey_ai/_vendor/openai/types/evals/run_list_response.py b/portkey_ai/_vendor/openai/types/evals/run_list_response.py index 7fe0e55a..7c32ce54 100644 --- a/portkey_ai/_vendor/openai/types/evals/run_list_response.py +++ b/portkey_ai/_vendor/openai/types/evals/run_list_response.py @@ -106,6 +106,9 @@ class DataSourceResponsesSourceResponses(BaseModel): supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. + + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. """ temperature: Optional[float] = None @@ -241,6 +244,9 @@ class DataSourceResponsesSamplingParams(BaseModel): supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. + + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. """ seed: Optional[int] = None diff --git a/portkey_ai/_vendor/openai/types/evals/run_retrieve_response.py b/portkey_ai/_vendor/openai/types/evals/run_retrieve_response.py index a50520f1..f1212c16 100644 --- a/portkey_ai/_vendor/openai/types/evals/run_retrieve_response.py +++ b/portkey_ai/_vendor/openai/types/evals/run_retrieve_response.py @@ -106,6 +106,9 @@ class DataSourceResponsesSourceResponses(BaseModel): supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. + + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. """ temperature: Optional[float] = None @@ -241,6 +244,9 @@ class DataSourceResponsesSamplingParams(BaseModel): supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. + + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. """ seed: Optional[int] = None diff --git a/portkey_ai/_vendor/openai/types/graders/score_model_grader.py b/portkey_ai/_vendor/openai/types/graders/score_model_grader.py index 908c6f91..35e2dc14 100644 --- a/portkey_ai/_vendor/openai/types/graders/score_model_grader.py +++ b/portkey_ai/_vendor/openai/types/graders/score_model_grader.py @@ -70,6 +70,9 @@ class SamplingParams(BaseModel): supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. + + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. """ seed: Optional[int] = None diff --git a/portkey_ai/_vendor/openai/types/graders/score_model_grader_param.py b/portkey_ai/_vendor/openai/types/graders/score_model_grader_param.py index 743944e0..168feeae 100644 --- a/portkey_ai/_vendor/openai/types/graders/score_model_grader_param.py +++ b/portkey_ai/_vendor/openai/types/graders/score_model_grader_param.py @@ -76,6 +76,9 @@ class SamplingParams(TypedDict, total=False): supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. + + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. """ seed: Optional[int] diff --git a/portkey_ai/_vendor/openai/types/realtime/audio_transcription.py b/portkey_ai/_vendor/openai/types/realtime/audio_transcription.py index cf662b3a..3e5c8e0c 100644 --- a/portkey_ai/_vendor/openai/types/realtime/audio_transcription.py +++ b/portkey_ai/_vendor/openai/types/realtime/audio_transcription.py @@ -17,13 +17,14 @@ class AudioTranscription(BaseModel): format will improve accuracy and latency. """ - model: Optional[Literal["whisper-1", "gpt-4o-transcribe-latest", "gpt-4o-mini-transcribe", "gpt-4o-transcribe"]] = ( - None - ) + model: Optional[ + Literal["whisper-1", "gpt-4o-mini-transcribe", "gpt-4o-transcribe", "gpt-4o-transcribe-diarize"] + ] = None """The model to use for transcription. - Current options are `whisper-1`, `gpt-4o-transcribe-latest`, - `gpt-4o-mini-transcribe`, and `gpt-4o-transcribe`. + Current options are `whisper-1`, `gpt-4o-mini-transcribe`, `gpt-4o-transcribe`, + and `gpt-4o-transcribe-diarize`. Use `gpt-4o-transcribe-diarize` when you need + diarization with speaker labels. """ prompt: Optional[str] = None @@ -31,6 +32,6 @@ class AudioTranscription(BaseModel): An optional text to guide the model's style or continue a previous audio segment. For `whisper-1`, the [prompt is a list of keywords](https://platform.openai.com/docs/guides/speech-to-text#prompting). - For `gpt-4o-transcribe` models, the prompt is a free text string, for example - "expect words related to technology". + For `gpt-4o-transcribe` models (excluding `gpt-4o-transcribe-diarize`), the + prompt is a free text string, for example "expect words related to technology". """ diff --git a/portkey_ai/_vendor/openai/types/realtime/audio_transcription_param.py b/portkey_ai/_vendor/openai/types/realtime/audio_transcription_param.py index fb09f105..3b65e42c 100644 --- a/portkey_ai/_vendor/openai/types/realtime/audio_transcription_param.py +++ b/portkey_ai/_vendor/openai/types/realtime/audio_transcription_param.py @@ -16,11 +16,12 @@ class AudioTranscriptionParam(TypedDict, total=False): format will improve accuracy and latency. """ - model: Literal["whisper-1", "gpt-4o-transcribe-latest", "gpt-4o-mini-transcribe", "gpt-4o-transcribe"] + model: Literal["whisper-1", "gpt-4o-mini-transcribe", "gpt-4o-transcribe", "gpt-4o-transcribe-diarize"] """The model to use for transcription. - Current options are `whisper-1`, `gpt-4o-transcribe-latest`, - `gpt-4o-mini-transcribe`, and `gpt-4o-transcribe`. + Current options are `whisper-1`, `gpt-4o-mini-transcribe`, `gpt-4o-transcribe`, + and `gpt-4o-transcribe-diarize`. Use `gpt-4o-transcribe-diarize` when you need + diarization with speaker labels. """ prompt: str @@ -28,6 +29,6 @@ class AudioTranscriptionParam(TypedDict, total=False): An optional text to guide the model's style or continue a previous audio segment. For `whisper-1`, the [prompt is a list of keywords](https://platform.openai.com/docs/guides/speech-to-text#prompting). - For `gpt-4o-transcribe` models, the prompt is a free text string, for example - "expect words related to technology". + For `gpt-4o-transcribe` models (excluding `gpt-4o-transcribe-diarize`), the + prompt is a free text string, for example "expect words related to technology". """ diff --git a/portkey_ai/_vendor/openai/types/realtime/call_accept_params.py b/portkey_ai/_vendor/openai/types/realtime/call_accept_params.py index 0cfb01e7..d6fc92b8 100644 --- a/portkey_ai/_vendor/openai/types/realtime/call_accept_params.py +++ b/portkey_ai/_vendor/openai/types/realtime/call_accept_params.py @@ -106,6 +106,17 @@ class CallAcceptParams(TypedDict, total=False): truncation: RealtimeTruncationParam """ - Controls how the realtime conversation is truncated prior to model inference. - The default is `auto`. + When the number of tokens in a conversation exceeds the model's input token + limit, the conversation be truncated, meaning messages (starting from the + oldest) will not be included in the model's context. A 32k context model with + 4,096 max output tokens can only include 28,224 tokens in the context before + truncation occurs. Clients can configure truncation behavior to truncate with a + lower max token limit, which is an effective way to control token usage and + cost. Truncation will reduce the number of cached tokens on the next turn + (busting the cache), since messages are dropped from the beginning of the + context. However, clients can also configure truncation to retain messages up to + a fraction of the maximum context size, which will reduce the need for future + truncations and thus improve the cache rate. Truncation can be disabled + entirely, which means the server will never truncate but would instead return an + error if the conversation exceeds the model's input token limit. """ diff --git a/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_request.py b/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_request.py index bc205bd3..016ae45b 100644 --- a/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_request.py +++ b/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_request.py @@ -106,6 +106,17 @@ class RealtimeSessionCreateRequest(BaseModel): truncation: Optional[RealtimeTruncation] = None """ - Controls how the realtime conversation is truncated prior to model inference. - The default is `auto`. + When the number of tokens in a conversation exceeds the model's input token + limit, the conversation be truncated, meaning messages (starting from the + oldest) will not be included in the model's context. A 32k context model with + 4,096 max output tokens can only include 28,224 tokens in the context before + truncation occurs. Clients can configure truncation behavior to truncate with a + lower max token limit, which is an effective way to control token usage and + cost. Truncation will reduce the number of cached tokens on the next turn + (busting the cache), since messages are dropped from the beginning of the + context. However, clients can also configure truncation to retain messages up to + a fraction of the maximum context size, which will reduce the need for future + truncations and thus improve the cache rate. Truncation can be disabled + entirely, which means the server will never truncate but would instead return an + error if the conversation exceeds the model's input token limit. """ diff --git a/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_request_param.py b/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_request_param.py index d1fa2b35..8c3998c1 100644 --- a/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_request_param.py +++ b/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_request_param.py @@ -106,6 +106,17 @@ class RealtimeSessionCreateRequestParam(TypedDict, total=False): truncation: RealtimeTruncationParam """ - Controls how the realtime conversation is truncated prior to model inference. - The default is `auto`. + When the number of tokens in a conversation exceeds the model's input token + limit, the conversation be truncated, meaning messages (starting from the + oldest) will not be included in the model's context. A 32k context model with + 4,096 max output tokens can only include 28,224 tokens in the context before + truncation occurs. Clients can configure truncation behavior to truncate with a + lower max token limit, which is an effective way to control token usage and + cost. Truncation will reduce the number of cached tokens on the next turn + (busting the cache), since messages are dropped from the beginning of the + context. However, clients can also configure truncation to retain messages up to + a fraction of the maximum context size, which will reduce the need for future + truncations and thus improve the cache rate. Truncation can be disabled + entirely, which means the server will never truncate but would instead return an + error if the conversation exceeds the model's input token limit. """ diff --git a/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_response.py b/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_response.py index bb6b94e9..c1336cd6 100644 --- a/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_response.py +++ b/portkey_ai/_vendor/openai/types/realtime/realtime_session_create_response.py @@ -459,6 +459,17 @@ class RealtimeSessionCreateResponse(BaseModel): truncation: Optional[RealtimeTruncation] = None """ - Controls how the realtime conversation is truncated prior to model inference. - The default is `auto`. + When the number of tokens in a conversation exceeds the model's input token + limit, the conversation be truncated, meaning messages (starting from the + oldest) will not be included in the model's context. A 32k context model with + 4,096 max output tokens can only include 28,224 tokens in the context before + truncation occurs. Clients can configure truncation behavior to truncate with a + lower max token limit, which is an effective way to control token usage and + cost. Truncation will reduce the number of cached tokens on the next turn + (busting the cache), since messages are dropped from the beginning of the + context. However, clients can also configure truncation to retain messages up to + a fraction of the maximum context size, which will reduce the need for future + truncations and thus improve the cache rate. Truncation can be disabled + entirely, which means the server will never truncate but would instead return an + error if the conversation exceeds the model's input token limit. """ diff --git a/portkey_ai/_vendor/openai/types/realtime/realtime_truncation_retention_ratio.py b/portkey_ai/_vendor/openai/types/realtime/realtime_truncation_retention_ratio.py index b4042724..e19ed648 100644 --- a/portkey_ai/_vendor/openai/types/realtime/realtime_truncation_retention_ratio.py +++ b/portkey_ai/_vendor/openai/types/realtime/realtime_truncation_retention_ratio.py @@ -1,18 +1,38 @@ # 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__ = ["RealtimeTruncationRetentionRatio"] +__all__ = ["RealtimeTruncationRetentionRatio", "TokenLimits"] + + +class TokenLimits(BaseModel): + post_instructions: Optional[int] = None + """ + Maximum tokens allowed in the conversation after instructions (which including + tool definitions). For example, setting this to 5,000 would mean that truncation + would occur when the conversation exceeds 5,000 tokens after instructions. This + cannot be higher than the model's context window size minus the maximum output + tokens. + """ class RealtimeTruncationRetentionRatio(BaseModel): retention_ratio: float """ - Fraction of post-instruction conversation tokens to retain (0.0 - 1.0) when the - conversation exceeds the input token limit. + Fraction of post-instruction conversation tokens to retain (`0.0` - `1.0`) when + the conversation exceeds the input token limit. Setting this to `0.8` means that + messages will be dropped until 80% of the maximum allowed tokens are used. This + helps reduce the frequency of truncations and improve cache rates. """ type: Literal["retention_ratio"] """Use retention ratio truncation.""" + + token_limits: Optional[TokenLimits] = None + """Optional custom token limits for this truncation strategy. + + If not provided, the model's default token limits will be used. + """ diff --git a/portkey_ai/_vendor/openai/types/realtime/realtime_truncation_retention_ratio_param.py b/portkey_ai/_vendor/openai/types/realtime/realtime_truncation_retention_ratio_param.py index b65d6566..4ea80fe4 100644 --- a/portkey_ai/_vendor/openai/types/realtime/realtime_truncation_retention_ratio_param.py +++ b/portkey_ai/_vendor/openai/types/realtime/realtime_truncation_retention_ratio_param.py @@ -4,15 +4,34 @@ from typing_extensions import Literal, Required, TypedDict -__all__ = ["RealtimeTruncationRetentionRatioParam"] +__all__ = ["RealtimeTruncationRetentionRatioParam", "TokenLimits"] + + +class TokenLimits(TypedDict, total=False): + post_instructions: int + """ + Maximum tokens allowed in the conversation after instructions (which including + tool definitions). For example, setting this to 5,000 would mean that truncation + would occur when the conversation exceeds 5,000 tokens after instructions. This + cannot be higher than the model's context window size minus the maximum output + tokens. + """ class RealtimeTruncationRetentionRatioParam(TypedDict, total=False): retention_ratio: Required[float] """ - Fraction of post-instruction conversation tokens to retain (0.0 - 1.0) when the - conversation exceeds the input token limit. + Fraction of post-instruction conversation tokens to retain (`0.0` - `1.0`) when + the conversation exceeds the input token limit. Setting this to `0.8` means that + messages will be dropped until 80% of the maximum allowed tokens are used. This + helps reduce the frequency of truncations and improve cache rates. """ type: Required[Literal["retention_ratio"]] """Use retention ratio truncation.""" + + token_limits: TokenLimits + """Optional custom token limits for this truncation strategy. + + If not provided, the model's default token limits will be used. + """ diff --git a/portkey_ai/_vendor/openai/types/responses/__init__.py b/portkey_ai/_vendor/openai/types/responses/__init__.py index 45811874..fd70836e 100644 --- a/portkey_ai/_vendor/openai/types/responses/__init__.py +++ b/portkey_ai/_vendor/openai/types/responses/__init__.py @@ -62,6 +62,7 @@ from .tool_choice_types_param import ToolChoiceTypesParam as ToolChoiceTypesParam from .web_search_preview_tool import WebSearchPreviewTool as WebSearchPreviewTool from .easy_input_message_param import EasyInputMessageParam as EasyInputMessageParam +from .input_token_count_params import InputTokenCountParams as InputTokenCountParams from .response_completed_event import ResponseCompletedEvent as ResponseCompletedEvent from .response_retrieve_params import ResponseRetrieveParams as ResponseRetrieveParams from .response_text_done_event import ResponseTextDoneEvent as ResponseTextDoneEvent @@ -74,6 +75,7 @@ from .response_input_text_param import ResponseInputTextParam as ResponseInputTextParam from .response_text_delta_event import ResponseTextDeltaEvent as ResponseTextDeltaEvent from .tool_choice_allowed_param import ToolChoiceAllowedParam as ToolChoiceAllowedParam +from .input_token_count_response import InputTokenCountResponse as InputTokenCountResponse from .response_audio_delta_event import ResponseAudioDeltaEvent as ResponseAudioDeltaEvent from .response_in_progress_event import ResponseInProgressEvent as ResponseInProgressEvent from .response_input_audio_param import ResponseInputAudioParam as ResponseInputAudioParam diff --git a/portkey_ai/_vendor/openai/types/responses/file_search_tool.py b/portkey_ai/_vendor/openai/types/responses/file_search_tool.py index dbdd8cff..d0d08a32 100644 --- a/portkey_ai/_vendor/openai/types/responses/file_search_tool.py +++ b/portkey_ai/_vendor/openai/types/responses/file_search_tool.py @@ -7,12 +7,26 @@ from ..shared.compound_filter import CompoundFilter from ..shared.comparison_filter import ComparisonFilter -__all__ = ["FileSearchTool", "Filters", "RankingOptions"] +__all__ = ["FileSearchTool", "Filters", "RankingOptions", "RankingOptionsHybridSearch"] Filters: TypeAlias = Union[ComparisonFilter, CompoundFilter, None] +class RankingOptionsHybridSearch(BaseModel): + embedding_weight: float + """The weight of the embedding in the reciprocal ranking fusion.""" + + text_weight: float + """The weight of the text in the reciprocal ranking fusion.""" + + class RankingOptions(BaseModel): + hybrid_search: Optional[RankingOptionsHybridSearch] = None + """ + Weights that control how reciprocal rank fusion balances semantic embedding + matches versus sparse keyword matches when hybrid search is enabled. + """ + ranker: Optional[Literal["auto", "default-2024-11-15"]] = None """The ranker to use for the file search.""" diff --git a/portkey_ai/_vendor/openai/types/responses/file_search_tool_param.py b/portkey_ai/_vendor/openai/types/responses/file_search_tool_param.py index c7641c1b..b37a669e 100644 --- a/portkey_ai/_vendor/openai/types/responses/file_search_tool_param.py +++ b/portkey_ai/_vendor/openai/types/responses/file_search_tool_param.py @@ -9,12 +9,26 @@ from ..shared_params.compound_filter import CompoundFilter from ..shared_params.comparison_filter import ComparisonFilter -__all__ = ["FileSearchToolParam", "Filters", "RankingOptions"] +__all__ = ["FileSearchToolParam", "Filters", "RankingOptions", "RankingOptionsHybridSearch"] Filters: TypeAlias = Union[ComparisonFilter, CompoundFilter] +class RankingOptionsHybridSearch(TypedDict, total=False): + embedding_weight: Required[float] + """The weight of the embedding in the reciprocal ranking fusion.""" + + text_weight: Required[float] + """The weight of the text in the reciprocal ranking fusion.""" + + class RankingOptions(TypedDict, total=False): + hybrid_search: RankingOptionsHybridSearch + """ + Weights that control how reciprocal rank fusion balances semantic embedding + matches versus sparse keyword matches when hybrid search is enabled. + """ + ranker: Literal["auto", "default-2024-11-15"] """The ranker to use for the file search.""" diff --git a/portkey_ai/_vendor/openai/types/responses/input_token_count_params.py b/portkey_ai/_vendor/openai/types/responses/input_token_count_params.py new file mode 100644 index 00000000..d442a2d1 --- /dev/null +++ b/portkey_ai/_vendor/openai/types/responses/input_token_count_params.py @@ -0,0 +1,138 @@ +# 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, TypeAlias, TypedDict + +from .tool_param import ToolParam +from .tool_choice_options import ToolChoiceOptions +from .tool_choice_mcp_param import ToolChoiceMcpParam +from .tool_choice_types_param import ToolChoiceTypesParam +from ..shared_params.reasoning import Reasoning +from .tool_choice_custom_param import ToolChoiceCustomParam +from .response_input_item_param import ResponseInputItemParam +from .tool_choice_allowed_param import ToolChoiceAllowedParam +from .tool_choice_function_param import ToolChoiceFunctionParam +from .response_conversation_param import ResponseConversationParam +from .response_format_text_config_param import ResponseFormatTextConfigParam + +__all__ = ["InputTokenCountParams", "Conversation", "Text", "ToolChoice"] + + +class InputTokenCountParams(TypedDict, total=False): + conversation: Optional[Conversation] + """The conversation that this response belongs to. + + Items from this conversation are prepended to `input_items` for this response + request. Input items and output items from this response are automatically added + to this conversation after this response completes. + """ + + input: Union[str, Iterable[ResponseInputItemParam], None] + """Text, image, or file inputs to the model, used to generate a response""" + + instructions: Optional[str] + """ + 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. + """ + + model: Optional[str] + """Model ID used to generate the response, like `gpt-4o` 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. + """ + + parallel_tool_calls: Optional[bool] + """Whether to allow the model to run tool calls in parallel.""" + + previous_response_id: Optional[str] + """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`. + """ + + reasoning: Optional[Reasoning] + """ + **gpt-5 and o-series models only** Configuration options for + [reasoning models](https://platform.openai.com/docs/guides/reasoning). + """ + + text: Optional[Text] + """Configuration options for a text response from the model. + + Can be plain text or structured JSON data. Learn more: + + - [Text inputs and outputs](https://platform.openai.com/docs/guides/text) + - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs) + """ + + tool_choice: Optional[ToolChoice] + """ + How the model should select which tool (or tools) to use when generating a + response. See the `tools` parameter to see how to specify which tools the model + can call. + """ + + tools: Optional[Iterable[ToolParam]] + """An array of tools the model may call while generating a response. + + You can specify which tool to use by setting the `tool_choice` parameter. + """ + + truncation: Literal["auto", "disabled"] + """The truncation strategy to use for the model response. + + - `auto`: If the input to this Response exceeds the model's context window size, + the model will truncate the response to fit the context window by dropping + items from the beginning of the conversation. - `disabled` (default): If the + input size will exceed the context window size for a model, the request will + fail with a 400 error. + """ + + +Conversation: TypeAlias = Union[str, ResponseConversationParam] + + +class Text(TypedDict, total=False): + format: ResponseFormatTextConfigParam + """An object specifying the format that the model must output. + + Configuring `{ "type": "json_schema" }` enables Structured Outputs, which + ensures the model will match your supplied JSON schema. Learn more in the + [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). + + The default format is `{ "type": "text" }` with no additional options. + + **Not recommended for gpt-4o and newer models:** + + Setting to `{ "type": "json_object" }` enables the older JSON mode, which + ensures the message the model generates is valid JSON. Using `json_schema` is + preferred for models that support it. + """ + + verbosity: Optional[Literal["low", "medium", "high"]] + """Constrains the verbosity of the model's response. + + Lower values will result in more concise responses, while higher values will + result in more verbose responses. Currently supported values are `low`, + `medium`, and `high`. + """ + + +ToolChoice: TypeAlias = Union[ + ToolChoiceOptions, + ToolChoiceAllowedParam, + ToolChoiceTypesParam, + ToolChoiceFunctionParam, + ToolChoiceMcpParam, + ToolChoiceCustomParam, +] diff --git a/portkey_ai/_vendor/openai/types/responses/input_token_count_response.py b/portkey_ai/_vendor/openai/types/responses/input_token_count_response.py new file mode 100644 index 00000000..30ddfc12 --- /dev/null +++ b/portkey_ai/_vendor/openai/types/responses/input_token_count_response.py @@ -0,0 +1,13 @@ +# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +from typing_extensions import Literal + +from ..._models import BaseModel + +__all__ = ["InputTokenCountResponse"] + + +class InputTokenCountResponse(BaseModel): + input_tokens: int + + object: Literal["response.input_tokens"] diff --git a/portkey_ai/_vendor/openai/types/responses/response_code_interpreter_tool_call.py b/portkey_ai/_vendor/openai/types/responses/response_code_interpreter_tool_call.py index ed720ecd..b6515815 100644 --- a/portkey_ai/_vendor/openai/types/responses/response_code_interpreter_tool_call.py +++ b/portkey_ai/_vendor/openai/types/responses/response_code_interpreter_tool_call.py @@ -14,12 +14,12 @@ class OutputLogs(BaseModel): """The logs output from the code interpreter.""" type: Literal["logs"] - """The type of the output. Always 'logs'.""" + """The type of the output. Always `logs`.""" class OutputImage(BaseModel): type: Literal["image"] - """The type of the output. Always 'image'.""" + """The type of the output. Always `image`.""" url: str """The URL of the image output from the code interpreter.""" diff --git a/portkey_ai/_vendor/openai/types/responses/response_code_interpreter_tool_call_param.py b/portkey_ai/_vendor/openai/types/responses/response_code_interpreter_tool_call_param.py index 78b90ca8..d402b872 100644 --- a/portkey_ai/_vendor/openai/types/responses/response_code_interpreter_tool_call_param.py +++ b/portkey_ai/_vendor/openai/types/responses/response_code_interpreter_tool_call_param.py @@ -13,12 +13,12 @@ class OutputLogs(TypedDict, total=False): """The logs output from the code interpreter.""" type: Required[Literal["logs"]] - """The type of the output. Always 'logs'.""" + """The type of the output. Always `logs`.""" class OutputImage(TypedDict, total=False): type: Required[Literal["image"]] - """The type of the output. Always 'image'.""" + """The type of the output. Always `image`.""" url: Required[str] """The URL of the image output from the code interpreter.""" diff --git a/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call.py b/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call.py index 99483756..f1476fa0 100644 --- a/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call.py +++ b/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call.py @@ -1,6 +1,6 @@ # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. -from typing import List, Union +from typing import List, Union, Optional from typing_extensions import Literal, Annotated, TypeAlias from ..._utils import PropertyInfo @@ -31,10 +31,7 @@ class ActionClick(BaseModel): """ type: Literal["click"] - """Specifies the event type. - - For a click action, this property is always set to `click`. - """ + """Specifies the event type. For a click action, this property is always `click`.""" x: int """The x-coordinate where the click occurred.""" @@ -181,10 +178,10 @@ class PendingSafetyCheck(BaseModel): id: str """The ID of the pending safety check.""" - code: str + code: Optional[str] = None """The type of the pending safety check.""" - message: str + message: Optional[str] = None """Details about the pending safety check.""" diff --git a/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call_output_item.py b/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call_output_item.py index a2dd68f5..e1ac358c 100644 --- a/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call_output_item.py +++ b/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call_output_item.py @@ -13,10 +13,10 @@ class AcknowledgedSafetyCheck(BaseModel): id: str """The ID of the pending safety check.""" - code: str + code: Optional[str] = None """The type of the pending safety check.""" - message: str + message: Optional[str] = None """Details about the pending safety check.""" diff --git a/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call_param.py b/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call_param.py index 0be63db2..228f76ba 100644 --- a/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call_param.py +++ b/portkey_ai/_vendor/openai/types/responses/response_computer_tool_call_param.py @@ -2,7 +2,7 @@ from __future__ import annotations -from typing import Union, Iterable +from typing import Union, Iterable, Optional from typing_extensions import Literal, Required, TypeAlias, TypedDict from ..._types import SequenceNotStr @@ -32,10 +32,7 @@ class ActionClick(TypedDict, total=False): """ type: Required[Literal["click"]] - """Specifies the event type. - - For a click action, this property is always set to `click`. - """ + """Specifies the event type. For a click action, this property is always `click`.""" x: Required[int] """The x-coordinate where the click occurred.""" @@ -179,10 +176,10 @@ class PendingSafetyCheck(TypedDict, total=False): id: Required[str] """The ID of the pending safety check.""" - code: Required[str] + code: Optional[str] """The type of the pending safety check.""" - message: Required[str] + message: Optional[str] """Details about the pending safety check.""" diff --git a/portkey_ai/_vendor/openai/types/responses/response_includable.py b/portkey_ai/_vendor/openai/types/responses/response_includable.py index c17a0256..675c8340 100644 --- a/portkey_ai/_vendor/openai/types/responses/response_includable.py +++ b/portkey_ai/_vendor/openai/types/responses/response_includable.py @@ -5,10 +5,12 @@ __all__ = ["ResponseIncludable"] ResponseIncludable: TypeAlias = Literal[ - "code_interpreter_call.outputs", - "computer_call_output.output.image_url", "file_search_call.results", + "web_search_call.results", + "web_search_call.action.sources", "message.input_image.image_url", - "message.output_text.logprobs", + "computer_call_output.output.image_url", + "code_interpreter_call.outputs", "reasoning.encrypted_content", + "message.output_text.logprobs", ] diff --git a/portkey_ai/_vendor/openai/types/responses/response_input_content.py b/portkey_ai/_vendor/openai/types/responses/response_input_content.py index 376b9ffc..1726909a 100644 --- a/portkey_ai/_vendor/openai/types/responses/response_input_content.py +++ b/portkey_ai/_vendor/openai/types/responses/response_input_content.py @@ -6,12 +6,10 @@ from ..._utils import PropertyInfo from .response_input_file import ResponseInputFile from .response_input_text import ResponseInputText -from .response_input_audio import ResponseInputAudio from .response_input_image import ResponseInputImage __all__ = ["ResponseInputContent"] ResponseInputContent: TypeAlias = Annotated[ - Union[ResponseInputText, ResponseInputImage, ResponseInputFile, ResponseInputAudio], - PropertyInfo(discriminator="type"), + Union[ResponseInputText, ResponseInputImage, ResponseInputFile], PropertyInfo(discriminator="type") ] diff --git a/portkey_ai/_vendor/openai/types/responses/response_input_content_param.py b/portkey_ai/_vendor/openai/types/responses/response_input_content_param.py index a95e026a..7791cdfd 100644 --- a/portkey_ai/_vendor/openai/types/responses/response_input_content_param.py +++ b/portkey_ai/_vendor/openai/types/responses/response_input_content_param.py @@ -7,11 +7,8 @@ from .response_input_file_param import ResponseInputFileParam from .response_input_text_param import ResponseInputTextParam -from .response_input_audio_param import ResponseInputAudioParam from .response_input_image_param import ResponseInputImageParam __all__ = ["ResponseInputContentParam"] -ResponseInputContentParam: TypeAlias = Union[ - ResponseInputTextParam, ResponseInputImageParam, ResponseInputFileParam, ResponseInputAudioParam -] +ResponseInputContentParam: TypeAlias = Union[ResponseInputTextParam, ResponseInputImageParam, ResponseInputFileParam] diff --git a/portkey_ai/_vendor/openai/types/responses/response_input_message_content_list_param.py b/portkey_ai/_vendor/openai/types/responses/response_input_message_content_list_param.py index 8e3778d1..080613df 100644 --- a/portkey_ai/_vendor/openai/types/responses/response_input_message_content_list_param.py +++ b/portkey_ai/_vendor/openai/types/responses/response_input_message_content_list_param.py @@ -7,13 +7,10 @@ from .response_input_file_param import ResponseInputFileParam from .response_input_text_param import ResponseInputTextParam -from .response_input_audio_param import ResponseInputAudioParam from .response_input_image_param import ResponseInputImageParam __all__ = ["ResponseInputMessageContentListParam", "ResponseInputContentParam"] -ResponseInputContentParam: TypeAlias = Union[ - ResponseInputTextParam, ResponseInputImageParam, ResponseInputFileParam, ResponseInputAudioParam -] +ResponseInputContentParam: TypeAlias = Union[ResponseInputTextParam, ResponseInputImageParam, ResponseInputFileParam] ResponseInputMessageContentListParam: TypeAlias = List[ResponseInputContentParam] diff --git a/portkey_ai/_vendor/openai/types/responses/tool.py b/portkey_ai/_vendor/openai/types/responses/tool.py index 6239b818..b29fede0 100644 --- a/portkey_ai/_vendor/openai/types/responses/tool.py +++ b/portkey_ai/_vendor/openai/types/responses/tool.py @@ -161,6 +161,8 @@ class CodeInterpreterContainerCodeInterpreterToolAuto(BaseModel): file_ids: Optional[List[str]] = None """An optional list of uploaded files to make available to your code.""" + memory_limit: Optional[Literal["1g", "4g", "16g", "64g"]] = None + CodeInterpreterContainer: TypeAlias = Union[str, CodeInterpreterContainerCodeInterpreterToolAuto] diff --git a/portkey_ai/_vendor/openai/types/responses/tool_param.py b/portkey_ai/_vendor/openai/types/responses/tool_param.py index ff4ac2b9..dd1ea0bd 100644 --- a/portkey_ai/_vendor/openai/types/responses/tool_param.py +++ b/portkey_ai/_vendor/openai/types/responses/tool_param.py @@ -161,6 +161,8 @@ class CodeInterpreterContainerCodeInterpreterToolAuto(TypedDict, total=False): file_ids: SequenceNotStr[str] """An optional list of uploaded files to make available to your code.""" + memory_limit: Optional[Literal["1g", "4g", "16g", "64g"]] + CodeInterpreterContainer: TypeAlias = Union[str, CodeInterpreterContainerCodeInterpreterToolAuto] diff --git a/portkey_ai/_vendor/openai/types/shared/comparison_filter.py b/portkey_ai/_vendor/openai/types/shared/comparison_filter.py index 2ec2651f..33415ca4 100644 --- a/portkey_ai/_vendor/openai/types/shared/comparison_filter.py +++ b/portkey_ai/_vendor/openai/types/shared/comparison_filter.py @@ -1,6 +1,6 @@ # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. -from typing import Union +from typing import List, Union from typing_extensions import Literal from ..._models import BaseModel @@ -13,7 +13,9 @@ class ComparisonFilter(BaseModel): """The key to compare against the value.""" type: Literal["eq", "ne", "gt", "gte", "lt", "lte"] - """Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`. + """ + Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `in`, + `nin`. - `eq`: equals - `ne`: not equal @@ -21,9 +23,11 @@ class ComparisonFilter(BaseModel): - `gte`: greater than or equal - `lt`: less than - `lte`: less than or equal + - `in`: in + - `nin`: not in """ - value: Union[str, float, bool] + value: Union[str, float, bool, List[Union[str, float]]] """ The value to compare against the attribute key; supports string, number, or boolean types. diff --git a/portkey_ai/_vendor/openai/types/shared/reasoning.py b/portkey_ai/_vendor/openai/types/shared/reasoning.py index 24ce3015..6ea2fe82 100644 --- a/portkey_ai/_vendor/openai/types/shared/reasoning.py +++ b/portkey_ai/_vendor/openai/types/shared/reasoning.py @@ -17,6 +17,9 @@ class Reasoning(BaseModel): supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. + + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. """ generate_summary: Optional[Literal["auto", "concise", "detailed"]] = None @@ -32,4 +35,6 @@ class Reasoning(BaseModel): This can be useful for debugging and understanding the model's reasoning process. One of `auto`, `concise`, or `detailed`. + + `concise` is only supported for `computer-use-preview` models. """ diff --git a/portkey_ai/_vendor/openai/types/shared_params/comparison_filter.py b/portkey_ai/_vendor/openai/types/shared_params/comparison_filter.py index 38edd315..1c40729c 100644 --- a/portkey_ai/_vendor/openai/types/shared_params/comparison_filter.py +++ b/portkey_ai/_vendor/openai/types/shared_params/comparison_filter.py @@ -5,6 +5,8 @@ from typing import Union from typing_extensions import Literal, Required, TypedDict +from ..._types import SequenceNotStr + __all__ = ["ComparisonFilter"] @@ -13,7 +15,9 @@ class ComparisonFilter(TypedDict, total=False): """The key to compare against the value.""" type: Required[Literal["eq", "ne", "gt", "gte", "lt", "lte"]] - """Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`. + """ + Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `in`, + `nin`. - `eq`: equals - `ne`: not equal @@ -21,9 +25,11 @@ class ComparisonFilter(TypedDict, total=False): - `gte`: greater than or equal - `lt`: less than - `lte`: less than or equal + - `in`: in + - `nin`: not in """ - value: Required[Union[str, float, bool]] + value: Required[Union[str, float, bool, SequenceNotStr[Union[str, float]]]] """ The value to compare against the attribute key; supports string, number, or boolean types. diff --git a/portkey_ai/_vendor/openai/types/shared_params/reasoning.py b/portkey_ai/_vendor/openai/types/shared_params/reasoning.py index 7eab2c76..5c1eff68 100644 --- a/portkey_ai/_vendor/openai/types/shared_params/reasoning.py +++ b/portkey_ai/_vendor/openai/types/shared_params/reasoning.py @@ -18,6 +18,9 @@ class Reasoning(TypedDict, total=False): supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. + + Note: The `gpt-5-pro` model defaults to (and only supports) `high` reasoning + effort. """ generate_summary: Optional[Literal["auto", "concise", "detailed"]] @@ -33,4 +36,6 @@ class Reasoning(TypedDict, total=False): This can be useful for debugging and understanding the model's reasoning process. One of `auto`, `concise`, or `detailed`. + + `concise` is only supported for `computer-use-preview` models. """ diff --git a/portkey_ai/_vendor/openai/types/vector_store_create_params.py b/portkey_ai/_vendor/openai/types/vector_store_create_params.py index 945a9886..f373a6ed 100644 --- a/portkey_ai/_vendor/openai/types/vector_store_create_params.py +++ b/portkey_ai/_vendor/openai/types/vector_store_create_params.py @@ -20,6 +20,12 @@ class VectorStoreCreateParams(TypedDict, total=False): non-empty. """ + description: str + """A description for the vector store. + + Can be used to describe the vector store's purpose. + """ + expires_after: ExpiresAfter """The expiration policy for a vector store.""" diff --git a/portkey_ai/_vendor/openai/types/vector_stores/file_batch_create_params.py b/portkey_ai/_vendor/openai/types/vector_stores/file_batch_create_params.py index d8d7b448..2ab98a83 100644 --- a/portkey_ai/_vendor/openai/types/vector_stores/file_batch_create_params.py +++ b/portkey_ai/_vendor/openai/types/vector_stores/file_batch_create_params.py @@ -2,20 +2,54 @@ from __future__ import annotations -from typing import Dict, Union, Optional +from typing import Dict, Union, Iterable, Optional from typing_extensions import Required, TypedDict from ..._types import SequenceNotStr from ..file_chunking_strategy_param import FileChunkingStrategyParam -__all__ = ["FileBatchCreateParams"] +__all__ = ["FileBatchCreateParams", "File"] class FileBatchCreateParams(TypedDict, total=False): - file_ids: Required[SequenceNotStr[str]] + attributes: Optional[Dict[str, Union[str, float, bool]]] + """Set of 16 key-value pairs that can be attached to an object. + + This can be useful for storing additional information about the object in a + structured format, and querying for objects via API or the dashboard. Keys are + strings with a maximum length of 64 characters. Values are strings with a + maximum length of 512 characters, booleans, or numbers. + """ + + chunking_strategy: FileChunkingStrategyParam + """The chunking strategy used to chunk the file(s). + + If not set, will use the `auto` strategy. Only applicable if `file_ids` is + non-empty. + """ + + file_ids: SequenceNotStr[str] """ A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that the vector store should use. Useful for tools like `file_search` that can access + files. If `attributes` or `chunking_strategy` are provided, they will be applied + to all files in the batch. Mutually exclusive with `files`. + """ + + files: Iterable[File] + """ + A list of objects that each include a `file_id` plus optional `attributes` or + `chunking_strategy`. Use this when you need to override metadata for specific + files. The global `attributes` or `chunking_strategy` will be ignored and must + be specified for each file. Mutually exclusive with `file_ids`. + """ + + +class File(TypedDict, total=False): + file_id: Required[str] + """ + A [File](https://platform.openai.com/docs/api-reference/files) ID that the + vector store should use. Useful for tools like `file_search` that can access files. """ diff --git a/portkey_ai/_vendor/openai/types/vector_stores/vector_store_file.py b/portkey_ai/_vendor/openai/types/vector_stores/vector_store_file.py index b59a61df..001584df 100644 --- a/portkey_ai/_vendor/openai/types/vector_stores/vector_store_file.py +++ b/portkey_ai/_vendor/openai/types/vector_stores/vector_store_file.py @@ -11,7 +11,7 @@ class LastError(BaseModel): code: Literal["server_error", "unsupported_file", "invalid_file"] - """One of `server_error` or `rate_limit_exceeded`.""" + """One of `server_error`, `unsupported_file`, or `invalid_file`.""" message: str """A human-readable description of the error.""" diff --git a/portkey_ai/_vendor/openai/types/video.py b/portkey_ai/_vendor/openai/types/video.py index 2c804f75..22ee3a11 100644 --- a/portkey_ai/_vendor/openai/types/video.py +++ b/portkey_ai/_vendor/openai/types/video.py @@ -37,6 +37,9 @@ class Video(BaseModel): progress: int """Approximate completion percentage for the generation task.""" + prompt: Optional[str] = None + """The prompt that was used to generate the video.""" + remixed_from_video_id: Optional[str] = None """Identifier of the source video if this video is a remix.""" diff --git a/portkey_ai/api_resources/__init__.py b/portkey_ai/api_resources/__init__.py index 8369d304..080628cc 100644 --- a/portkey_ai/api_resources/__init__.py +++ b/portkey_ai/api_resources/__init__.py @@ -143,6 +143,8 @@ AsyncChatKitThreads, Calls, AsyncCalls, + InputTokens, + AsyncInputTokens, ) from .utils import ( Modes, @@ -321,4 +323,6 @@ "AsyncChatKitThreads", "Calls", "AsyncCalls", + "InputTokens", + "AsyncInputTokens", ] diff --git a/portkey_ai/api_resources/apis/__init__.py b/portkey_ai/api_resources/apis/__init__.py index 32a765d7..095bcb3c 100644 --- a/portkey_ai/api_resources/apis/__init__.py +++ b/portkey_ai/api_resources/apis/__init__.py @@ -97,6 +97,8 @@ InputItems, AsyncResponses, AsyncInputItems, + InputTokens, + AsyncInputTokens, ) from .uploads import ( @@ -336,4 +338,6 @@ "AsyncChatKitThreads", "Calls", "AsyncCalls", + "InputTokens", + "AsyncInputTokens", ] diff --git a/portkey_ai/api_resources/apis/chatkit.py b/portkey_ai/api_resources/apis/chatkit.py index cc3e0d1d..f41f5eff 100644 --- a/portkey_ai/api_resources/apis/chatkit.py +++ b/portkey_ai/api_resources/apis/chatkit.py @@ -2,7 +2,6 @@ from typing import Any, Literal, Optional, Union from portkey_ai.api_resources.types.shared_types import Body, Headers, Query from ..._vendor.openai._types import ( - FileTypes, NotGiven, Omit, not_given, @@ -23,9 +22,6 @@ from portkey_ai._vendor.openai.types.beta.chatkit.chat_session_workflow_param import ( ChatSessionWorkflowParam, ) -from portkey_ai._vendor.openai.types.beta.chatkit_upload_file_response import ( - ChatKitUploadFileResponse, -) from portkey_ai.api_resources.types.chatkit_type import ( ChatKitThread, ChatKitThreadList, @@ -41,24 +37,6 @@ def __init__(self, client: Portkey) -> None: self.sessions = ChatKitSessions(client) self.threads = ChatKitThreads(client) - def upload_file( - self, - *, - file: FileTypes, - extra_headers: Optional[Headers] = None, - extra_query: Optional[Query] = None, - extra_body: Optional[Body] = None, - timeout: Union[Optional[float], httpx.Timeout, NotGiven] = not_given, - ) -> ChatKitUploadFileResponse: - response = self.openai_client.beta.chatkit.upload_file( - file=file, - extra_headers=extra_headers, - extra_query=extra_query, - extra_body=extra_body, - timeout=timeout, - ) - return response - class ChatKitSessions(APIResource): def __init__(self, client: Portkey) -> None: @@ -223,24 +201,6 @@ def __init__(self, client: AsyncPortkey) -> None: self.sessions = AsyncChatKitSessions(client) self.threads = AsyncChatKitThreads(client) - async def upload_file( - self, - *, - file: FileTypes, - extra_headers: Optional[Headers] = None, - extra_query: Optional[Query] = None, - extra_body: Optional[Body] = None, - timeout: Union[Optional[float], httpx.Timeout, NotGiven] = not_given, - ) -> ChatKitUploadFileResponse: - response = await self.openai_client.beta.chatkit.upload_file( - file=file, - extra_headers=extra_headers, - extra_query=extra_query, - extra_body=extra_body, - timeout=timeout, - ) - return response - class AsyncChatKitSessions(AsyncAPIResource): def __init__(self, client: AsyncPortkey) -> None: diff --git a/portkey_ai/api_resources/apis/responses.py b/portkey_ai/api_resources/apis/responses.py index 93d9c555..7ccfe186 100644 --- a/portkey_ai/api_resources/apis/responses.py +++ b/portkey_ai/api_resources/apis/responses.py @@ -6,11 +6,17 @@ AsyncResponseStreamManager, ResponseStreamManager, ) -from portkey_ai._vendor.openai.types.responses import response_create_params +from portkey_ai._vendor.openai.types.responses import ( + input_token_count_params, + response_create_params, +) from portkey_ai._vendor.openai.types.responses.parsed_response import ParsedResponse from portkey_ai._vendor.openai.types.responses.response_includable import ( ResponseIncludable, ) +from portkey_ai._vendor.openai.types.responses.response_input_item_param import ( + ResponseInputItemParam, +) from portkey_ai._vendor.openai.types.responses.response_input_param import ( ResponseInputParam, ) @@ -32,6 +38,9 @@ from portkey_ai.api_resources.client import AsyncPortkey, Portkey from portkey_ai.api_resources.types.response_type import Response as ResponseType from portkey_ai.api_resources.types.responses_input_items_type import InputItemList +from portkey_ai.api_resources.types.responses_input_tokens_type import ( + InputTokenCountResponse, +) from portkey_ai.api_resources.types.shared_types import Metadata from ..._vendor.openai._types import Omit, omit from typing_extensions import overload @@ -42,6 +51,7 @@ def __init__(self, client: Portkey) -> None: super().__init__(client) self.openai_client = client.openai_client self.input_items = InputItems(client) + self.input_tokens = InputTokens(client) @overload def create( @@ -379,6 +389,56 @@ def list( return response # type: ignore[return-value] +class InputTokens(APIResource): + def __init__(self, client: Portkey) -> None: + super().__init__(client) + self.openai_client = client.openai_client + + def count( + self, + *, + conversation: Union[ + Optional[input_token_count_params.Conversation], Omit + ] = omit, + input: Union[str, Iterable[ResponseInputItemParam], None, Omit] = omit, + instructions: Union[Optional[str], Omit] = omit, + model: Union[Optional[str], Omit] = omit, + parallel_tool_calls: Union[Optional[bool], Omit] = omit, + previous_response_id: Union[Optional[str], Omit] = omit, + reasoning: Union[Optional[Reasoning], Omit] = omit, + text: Union[Optional[input_token_count_params.Text], Omit] = omit, + tool_choice: Union[Optional[input_token_count_params.ToolChoice], Omit] = omit, + tools: Union[Optional[Iterable[ToolParam]], Omit] = omit, + truncation: Union[Literal["auto", "disabled"], Omit] = omit, + **kwargs, + ) -> InputTokenCountResponse: + extra_headers = kwargs.pop("extra_headers", None) + extra_query = kwargs.pop("extra_query", None) + extra_body = kwargs.pop("extra_body", None) + timeout = kwargs.pop("timeout", None) + response = self.openai_client.with_raw_response.responses.input_tokens.count( + conversation=conversation, + input=input, + instructions=instructions, + model=model, + parallel_tool_calls=parallel_tool_calls, + previous_response_id=previous_response_id, + reasoning=reasoning, + text=text, + tool_choice=tool_choice, + tools=tools, + truncation=truncation, + extra_headers=extra_headers, + extra_query=extra_query, + extra_body={**(extra_body or {}), **kwargs}, + timeout=timeout, + ) + + data = InputTokenCountResponse(**json.loads(response.text)) + data._headers = response.headers + return data + + class AsyncResponses(AsyncAPIResource): def __init__(self, client: AsyncPortkey) -> None: super().__init__(client) @@ -719,3 +779,55 @@ async def list( ) return response # type: ignore[return-value] + + +class AsyncInputTokens(AsyncAPIResource): + def __init__(self, client: AsyncPortkey) -> None: + super().__init__(client) + self.openai_client = client.openai_client + + async def count( + self, + *, + conversation: Union[ + Optional[input_token_count_params.Conversation], Omit + ] = omit, + input: Union[str, Iterable[ResponseInputItemParam], None, Omit] = omit, + instructions: Union[Optional[str], Omit] = omit, + model: Union[Optional[str], Omit] = omit, + parallel_tool_calls: Union[Optional[bool], Omit] = omit, + previous_response_id: Union[Optional[str], Omit] = omit, + reasoning: Union[Optional[Reasoning], Omit] = omit, + text: Union[Optional[input_token_count_params.Text], Omit] = omit, + tool_choice: Union[Optional[input_token_count_params.ToolChoice], Omit] = omit, + tools: Union[Optional[Iterable[ToolParam]], Omit] = omit, + truncation: Union[Literal["auto", "disabled"], Omit] = omit, + **kwargs, + ) -> InputTokenCountResponse: + extra_headers = kwargs.pop("extra_headers", None) + extra_query = kwargs.pop("extra_query", None) + extra_body = kwargs.pop("extra_body", None) + timeout = kwargs.pop("timeout", None) + response = ( + await self.openai_client.with_raw_response.responses.input_tokens.count( + conversation=conversation, + input=input, + instructions=instructions, + model=model, + parallel_tool_calls=parallel_tool_calls, + previous_response_id=previous_response_id, + reasoning=reasoning, + text=text, + tool_choice=tool_choice, + tools=tools, + truncation=truncation, + extra_headers=extra_headers, + extra_query=extra_query, + extra_body={**(extra_body or {}), **kwargs}, + timeout=timeout, + ) + ) + + data = InputTokenCountResponse(**json.loads(response.text)) + data._headers = response.headers + return data diff --git a/portkey_ai/api_resources/types/responses_input_tokens_type.py b/portkey_ai/api_resources/types/responses_input_tokens_type.py new file mode 100644 index 00000000..1fa9cd7f --- /dev/null +++ b/portkey_ai/api_resources/types/responses_input_tokens_type.py @@ -0,0 +1,25 @@ +import json +from typing import Any, Dict, Literal, Optional + +import httpx +from pydantic import BaseModel, PrivateAttr +from portkey_ai.api_resources.types.utils import parse_headers + + +class InputTokenCountResponse(BaseModel, extra="allow"): + input_tokens: int + object: Literal["response.input_tokens"] + _headers: Optional[httpx.Headers] = PrivateAttr() + + def __str__(self): + del self._headers + return json.dumps(self.dict(), indent=4) + + def get_headers(self) -> Optional[Dict[str, str]]: + return parse_headers(self._headers) + + def __getitem__(self, key): + return getattr(self, key, None) + + def get(self, key: str, default: Optional[Any] = None): + return getattr(self, key, None) or default diff --git a/vendorize.toml b/vendorize.toml index e610f0e1..35b6af8f 100644 --- a/vendorize.toml +++ b/vendorize.toml @@ -1,4 +1,4 @@ target = "portkey_ai/_vendor" packages = [ - "openai==2.2.0" + "openai==2.7.1" ] \ No newline at end of file