+ ~j^RIHt^RIHtHtHtHt^RIHt^RI t ^RI H t ^RI H t HtHtHtHtHtHt^RIHtHtHt^RIHt^R IHtHtHtHtHtH t ^R I!H"t"H#t#^R I$H%t%H&t&^R I'H(t(H)t)^R I*H+t+H,t,^RI-H.t.H/t/H0t0^RI1H2t2^RI3H4t4^RI5H6t6RR.t7!RR]"4t8!RR]#4t9!RR4t:!RR4t;!RR4t<!RR4t=R#)) annotations)DictUnionIterableOptional)LiteralN)_legacy_response)BodyOmitQueryHeadersNotGivenomit not_given) path_templatemaybe_transformasync_maybe_transform)cached_property) CheckpointsAsyncCheckpointsCheckpointsWithRawResponseAsyncCheckpointsWithRawResponse CheckpointsWithStreamingResponse%AsyncCheckpointsWithStreamingResponse)SyncAPIResourceAsyncAPIResource)to_streamed_response_wrapper"async_to_streamed_response_wrapper)SyncCursorPageAsyncCursorPage)AsyncPaginatormake_request_options)job_list_paramsjob_create_paramsjob_list_events_params)Metadata) FineTuningJob)FineTuningJobEventJobs AsyncJobscl]tRt^%tRt]RRl4t]RRl4t]RRl4tR] R ] R ] R ] R ] R ] R] RRRRRRR] / RRllt RRRRRRR] /RRllt R] R] R ] RRRRRRR] /RRllt RRRRRRR] /RRlltR] R] RRRRRRR] /RRlltRRRRRRR] /R R!lltRRRRRRR] /R"R#lltR$tR#)%r)IManage fine-tuning jobs to tailor a model to your specific training data.cV^8dQhRR/#)returnr)formats"{/Users/mitch_tango/dev/rabbit-r1-livekit/agent/.venv/lib/python3.14/site-packages/openai/resources/fine_tuning/jobs/jobs.py __annotate__Jobs.__annotate__)s))[)c ,\VP4#r,)r_clientselfs&r2 checkpointsJobs.checkpoints(s4<<((r5cV^8dQhRR/#)r.r/JobsWithRawResponser0)r1s"r2r3r4.s))#6)r5c \V4#z 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 )r>r9s&r2with_raw_responseJobs.with_raw_response-s#4((r5cV^8dQhRR/#)r.r/JobsWithStreamingResponser0)r1s"r2r3r48s//)B/r5c \V4#z 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 )rDr9s&r2with_streaming_responseJobs.with_streaming_response7s)..r5hyperparameters integrationsmetadatamethodseedsuffixvalidation_file extra_headersN extra_query extra_bodytimeoutcPV^8dQhRRRRRRRRR R R R R RRRRRRRRRRRRRRR/#r.modelzQUnion[str, Literal['babbage-002', 'davinci-002', 'gpt-3.5-turbo', 'gpt-4o-mini']] training_filestrrIz(job_create_params.Hyperparameters | OmitrJz8Optional[Iterable[job_create_params.Integration]] | OmitrKzOptional[Metadata] | OmitrLzjob_create_params.Method | OmitrMzOptional[int] | OmitrNzOptional[str] | OmitrOrPHeaders | NonerQ Query | NonerR Body | NonerS'float | httpx.Timeout | None | NotGivenr/r'r0)r1s"r2r3r4@y y ay  y B y O y ,y 0y #y %y .y &y "y  !y "9#y $ %y r5c  VPR\RVRVRVRVRVRVRVR VR V / \P4\ V V V V R R /R 7\ R7#) Creates a fine-tuning job which begins the process of creating a new model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about fine-tuning](https://platform.openai.com/docs/guides/model-optimization) Args: model: The name of the model to fine-tune. You can select one of the [supported models](https://platform.openai.com/docs/guides/fine-tuning#which-models-can-be-fine-tuned). training_file: The ID of an uploaded file that contains training data. See [upload file](https://platform.openai.com/docs/api-reference/files/create) for how to upload a file. Your dataset must be formatted as a JSONL file. Additionally, you must upload your file with the purpose `fine-tune`. The contents of the file should differ depending on if the model uses the [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input), [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input) format, or if the fine-tuning method uses the [preference](https://platform.openai.com/docs/api-reference/fine-tuning/preference-input) format. See the [fine-tuning guide](https://platform.openai.com/docs/guides/model-optimization) for more details. hyperparameters: The hyperparameters used for the fine-tuning job. This value is now deprecated in favor of `method`, and should be passed in under the `method` parameter. integrations: A list of integrations to enable for your fine-tuning job. metadata: 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. method: The method used for fine-tuning. seed: The seed controls the reproducibility of the job. Passing in the same seed and job parameters should produce the same results, but may differ in rare cases. If a seed is not specified, one will be generated for you. suffix: A string of up to 64 characters that will be added to your fine-tuned model name. For example, a `suffix` of "custom-model-name" would produce a model name like `ft:gpt-4o-mini:openai:custom-model-name:7p4lURel`. validation_file: The ID of an uploaded file that contains validation data. If you provide this file, the data is used to generate validation metrics periodically during fine-tuning. These metrics can be viewed in the fine-tuning results file. The same data should not be present in both train and validation files. Your dataset must be formatted as a JSONL file. You must upload your file with the purpose `fine-tune`. See the [fine-tuning guide](https://platform.openai.com/docs/guides/model-optimization) for more details. 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 /fine_tuning/jobsrVrWrIrJrKrLrMrNrO bearer_authTrPrQrRrSsecuritybodyoptionscast_to)_postrr$JobCreateParamsr"r'r:rVrWrIrJrKrLrMrNrOrPrQrRrSs&$$$$$$$$$$$$$r2create Jobs.create@sBzz  U#]%"LfDf% "11 )+'%'. "/  r5c 0V^8dQhRRRRRRRRR R R R /# r.fine_tuning_job_idrXrPrYrQrZrRr[rSr\r/r'r0)r1s"r2r3r4F% % % & % "%  % 9%  % r5c  V'g\RV: 24hVP\RVR7\VVVVRR/R7\R7#)y Get info about a fine-tuning job. [Learn more about fine-tuning](https://platform.openai.com/docs/guides/model-optimization) Args: extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds AExpected a non-empty value for `fine_tuning_job_id` but received &/fine_tuning/jobs/{fine_tuning_job_id}roraTrbrfrg ValueError_getrr"r'r:rorPrQrRrSs&&$$$$r2retrieve Jobs.retrieves_2"`as`vwx xyy BWi j(+'%'. "  r5afterlimitc8V^8dQhRRRRRRRRR R R R R RRR/#)r.r} str | Omitr~ int | OmitrKOptional[Dict[str, str]] | OmitrPrYrQrZrRr[rSr\r/zSyncCursorPage[FineTuningJob]r0)r1s"r2r3r4s\3 3 3  3 2 3 &3 "3  3 93  '3 r5c VPR\\,\VVVV\ RVRVRV/\ P 4RR/R7\R7# a7 List your organization's fine-tuning jobs Args: after: Identifier for the last job from the previous pagination request. limit: Number of fine-tuning jobs to retrieve. metadata: Optional metadata filter. To filter, use the syntax `metadata[k]=v`. Alternatively, set `metadata=null` to indicate no metadata. extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds r`r}r~rKraTrPrQrRrSqueryrcpagerfrV) _get_api_listrr'r"rr# JobListParamsr:r}r~rKrPrQrRrSs&$$$$$$$r2list Jobs.listsr@!!  .(+'%%"H $11 (. %"  r5c 0V^8dQhRRRRRRRRR R R R /#rnr0)r1s"r2r3r4F# # # & # "#  # 9#  # r5c  V'g\RV: 24hVP\RVR7\VVVVRR/R7\R7#) Immediately cancel a fine-tune job. Args: extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds rs-/fine_tuning/jobs/{fine_tuning_job_id}/cancelruraTrbrvrxrhrr"r'rzs&&$$$$r2cancel Jobs.cancel_."`as`vwx xzz I^p q(+'%'. "  r5c8V^8dQhRRRRRRRRR R R R R RRR/#)r.rorXr}rr~rrPrYrQrZrRr[rSr\r/z"SyncCursorPage[FineTuningJobEvent]r0)r1s"r2r3r4<sZ1 1 1  1  1 &1 "1  1 91  ,1 r5c V'g\RV: 24hVP\RVR7\\,\ VVVV\ RVRV/\P4RR/R7\R 7# a Get status updates for a fine-tuning job. Args: after: Identifier for the last event from the previous pagination request. limit: Number of events to retrieve. extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds rsz-/fine_tuning/jobs/{fine_tuning_job_id}/eventsrur}r~raTrr) rxrrrr(r"rr%JobListEventsParamsr:ror}r~rPrQrRrSs&&$$$$$$r2 list_eventsJobs.list_events<s:"`as`vwx x!! I^p q 23(+'%%+>> (. %#"  r5c 0V^8dQhRRRRRRRRR R R R /#rnr0)r1s"r2r3r4orr5c  V'g\RV: 24hVP\RVR7\VVVVRR/R7\R7#) Pause a fine-tune job. Args: extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds rs,/fine_tuning/jobs/{fine_tuning_job_id}/pauseruraTrbrvrrzs&&$$$$r2pause Jobs.pauseos_."`as`vwx xzz H]o p(+'%'. "  r5c 0V^8dQhRRRRRRRRR R R R /#rnr0)r1s"r2r3r4rr5c  V'g\RV: 24hVP\RVR7\VVVVRR/R7\R7#) Resume a fine-tune job. Args: extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds rs-/fine_tuning/jobs/{fine_tuning_job_id}/resumeruraTrbrvrrzs&&$$$$r2resume Jobs.resumerr5r0__name__ __module__ __qualname____firstlineno____doc__rr;rArGrrrkr{rrrrr__static_attributes__r0r5r2r)r)%sS))))//y EI y RV y /3y 37y &*y (,y 15y )-y %)y #'!y "> (. %#"  r5c 0V^8dQhRRRRRRRRR R R R /#rnr0)r1s"r2r3rrr5c "V'g\RV: 24hVP\RVR7\VVVVRR/R7\R7GRjxL #L5i) rrsrruraTrbrvNrrzs&&$$$$r2rAsyncJobs.pausesl."`as`vwx xZZ H]o p(+'%'. "    rc 0V^8dQhRRRRRRRRR R R R /#rnr0)r1s"r2r3r)rr5c "V'g\RV: 24hVP\RVR7\VVVVRR/R7\R7GRjxL #L5i) rrsrruraTrbrvNrrzs&&$$$$r2rAsyncJobs.resume)rrr0rr0r5r2r*r*sS....44y EI y RV y /3y 37y &*y (,y 15y )-y %)y #'!y "iOc V^8dQhRRRR/#r.jobsr)r/Noner0)r1s"r2r3 JobsWithRawResponse.__annotate__P  T d r5c Wn\P!VP4Vn\P!VP4Vn\P!VP 4Vn\P!VP 4Vn\P!VP4Vn\P!VP4Vn\P!VP4Vn R#N) _jobsr to_raw_response_wrapperrkr{rrrrrr:rs&&r2__init__JobsWithRawResponse.__init__Ps &>> KK  )@@ MM  %<< II  '>> KK  ,CC    &== JJ  '>> KK  r5cV^8dQhRR/#)r.r/rr0)r1s"r2r3rjsBB7Br5c @\VPP4#r7)rrr;r9s&r2r;JobsWithRawResponse.checkpointsis*$***@*@AAr5rrrkrrrrr{Nrrrrrrr;rr0r5r2r>r>Os 2BBr5r>c8]tRtRtRRlt]RRl4tRtR#)rioc V^8dQhRRRR/#r.rr*r/rr0)r1s"r2r3%AsyncJobsWithRawResponse.__annotate__p  Y 4 r5c Wn\P!VP4Vn\P!VP4Vn\P!VP 4Vn\P!VP 4Vn\P!VP4Vn\P!VP4Vn\P!VP4Vn R#r) rr async_to_raw_response_wrapperrkr{rrrrrrs&&r2r!AsyncJobsWithRawResponse.__init__ps &DD KK  )FF MM  %BB II  'DD KK  ,II    &CC JJ  'DD KK  r5cV^8dQhRR/#)r.r/rr0)r1s"r2r3rsGG<Gr5c @\VPP4#r7)rrr;r9s&r2r;$AsyncJobsWithRawResponse.checkpointss/tzz/E/EFFr5rNrr0r5r2rros 2GGr5rc8]tRtRtRRlt]RRl4tRtR#)rDic V^8dQhRRRR/#rr0)r1s"r2r3&JobsWithStreamingResponse.__annotate__rr5c ~Wn\VP4Vn\VP4Vn\VP4Vn\VP 4Vn\VP 4Vn\VP4Vn\VP4VnR#r) rrrkr{rrrrrrs&&r2r"JobsWithStreamingResponse.__init__s 2 KK  5 MM  1 II  3 KK  8    2 JJ  3 KK  r5cV^8dQhRR/#)r.r/rr0)r1s"r2r3rsHH=Hr5c @\VPP4#r7)rrr;r9s&r2r;%JobsWithStreamingResponse.checkpointss0 0F0FGGr5rNrr0r5r2rDrDs 2HHr5rDc8]tRtRtRRlt]RRl4tRtR#)ric V^8dQhRRRR/#rr0)r1s"r2r3+AsyncJobsWithStreamingResponse.__annotate__rr5c ~Wn\VP4Vn\VP4Vn\VP4Vn\VP 4Vn\VP 4Vn\VP4Vn\VP4VnR#r) rrrkr{rrrrrrs&&r2r'AsyncJobsWithStreamingResponse.__init__s 8 KK  ; MM  7 II  9 KK  >    8 JJ  9 KK  r5cV^8dQhRR/#)r.r/rr0)r1s"r2r3rsMMBMr5c @\VPP4#r7)rrr;r9s&r2r;*AsyncJobsWithStreamingResponse.checkpointss5TZZ5K5KLLr5rNrr0r5r2rrs 2MMr5r)> __future__rtypingrrrrtyping_extensionsrhttpxr _typesr r r r rrr_utilsrrr_compatrr;rrrrrr _resourcerr _responserr paginationrr _base_clientr!r"types.fine_tuningr#r$r%types.shared_params.metadatar&!types.fine_tuning.fine_tuning_jobr''types.fine_tuning.fine_tuning_job_eventr(__all__r)r*r>rrDrr0r5r2rs#22% !LLLLL'<Z:]\5?J ; R ?R j R  R j BB@GG@HH@MMr5