ޠjSSKJr SSKJrJrJrJr SSKJr SSK r SSK J r SSK J r JrJrJrJrJrJr SSKJrJrJr SS KJr S S KJrJrJrJrJrJ r SS K!J"r"J#r# SS K$J%r%J&r& SSK'J(r(J)r) SSK*J+r+J,r, SSK-J.r.J/r/J0r0 SSK1J2r2 SSK3J4r4 SSK5J6r6 SS/r7"SS\"5r8"SS\#5r9"SS5r:"SS5r;"SS5r<"SS5r=g) ) annotations)DictUnionIterableOptional)LiteralN)_legacy_response)BodyOmitQueryHeadersNotGivenomit not_given) path_templatemaybe_transformasync_maybe_transform)cached_property) CheckpointsAsyncCheckpointsCheckpointsWithRawResponseAsyncCheckpointsWithRawResponse CheckpointsWithStreamingResponse%AsyncCheckpointsWithStreamingResponse)SyncAPIResourceAsyncAPIResource)to_streamed_response_wrapper"async_to_streamed_response_wrapper)SyncCursorPageAsyncCursorPage)AsyncPaginatormake_request_options)job_list_paramsjob_create_paramsjob_list_events_params)Metadata) FineTuningJob)FineTuningJobEventJobs AsyncJobsc \rSrSrSr\SSj5r\SSj5r\SSj5r\ \ \ \ \ \ \ SSS\ S. SSjjr SSS\ S .SS jjr \ \ \ SSS\ S .SS jjr SSS\ S .SS jjr\ \ SSS\ S.SSjjrSSS\ S .SSjjrSSS\ S .SSjjrSrg)r+"IManage fine-tuning jobs to tailor a model to your specific training data.c,[UR5$r/)r_clientselfs `/var/www/html/gaurav/venv/lib/python3.13/site-packages/openai/resources/fine_tuning/jobs/jobs.py checkpointsJobs.checkpoints%s4<<((c[U5$z This property can be used as a prefix for any HTTP method call to return the raw response object instead of the parsed content. For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers )JobsWithRawResponser3s r5with_raw_responseJobs.with_raw_response*s#4((r8c[U5$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 )JobsWithStreamingResponser3s r5with_streaming_responseJobs.with_streaming_response4s)..r8N hyperparameters integrationsmetadatamethodseedsuffixvalidation_file extra_headers extra_query extra_bodytimeoutc URS[UUUUUUUUU S. [R5[ U U U U SS0S9[ S9$) 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/jobs model training_filerDrErFrGrHrIrJ bearer_authTrKrLrMrNsecuritybodyoptionscast_to)_postrr&JobCreateParamsr$r)r4rSrTrDrErFrGrHrIrJrKrLrMrNs r5create Jobs.create=stBzz  "%2'6$0 ($ $'6 "11 )+'%'. "/  r8rKrLrMrNc U(d[SU<35eUR[SUS9[UUUUSS0S9[S9$)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}fine_tuning_job_idrUTrVrZr[ ValueError_getrr$r)r4rgrKrLrMrNs r5retrieve Jobs.retrieves_2"`as`vwx xyy BWi j(+'%'. "  r8afterlimitrFrKrLrMrNcURS[[[UUUU[ UUUS.[ R 5SS0S9[S9$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 rQ)rprqrFrUTrKrLrMrNqueryrWpagerZrS) _get_api_listr!r)r$rr% JobListParamsr4rprqrFrKrLrMrNs r5list Jobs.listsl@!!  .(+'%%!&!&$, $11 (. %"  r8c U(d[SU<35eUR[SUS9[UUUUSS0S9[S9$) 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 rd-/fine_tuning/jobs/{fine_tuning_job_id}/cancelrfrUTrVrhrjr\rr$r)rls r5cancel Jobs.cancel_."`as`vwx xzz I^p q(+'%'. "  r8rprqrKrLrMrNcU(d[SU<35eUR[SUS9[[[ UUUU[ UUS.[R5SS0S9[S9$ 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 rdz-/fine_tuning/jobs/{fine_tuning_job_id}/eventsrf)rprqrUTrtrv) rjrxrr!r*r$rr'JobListEventsParamsr4rgrprqrKrLrMrNs r5 list_eventsJobs.list_events9s:"`as`vwx x!! I^p q 23(+'%%!&!&+>> (. %#"  r8c U(d[SU<35eUR[SUS9[UUUUSS0S9[S9$) 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 rd,/fine_tuning/jobs/{fine_tuning_job_id}/pauserfrUTrVrhrrls r5pause Jobs.pausels_."`as`vwx xzz H]o p(+'%'. "  r8c U(d[SU<35eUR[SUS9[UUUUSS0S9[S9$) Resume a fine-tune job. Args: extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds rd-/fine_tuning/jobs/{fine_tuning_job_id}/resumerfrUTrVrhrrls r5resume Jobs.resumerr8)returnr)rr;)rr@rSzQUnion[str, Literal['babbage-002', 'davinci-002', 'gpt-3.5-turbo', 'gpt-4o-mini']]rTstrrDz(job_create_params.Hyperparameters | OmitrEz8Optional[Iterable[job_create_params.Integration]] | OmitrFzOptional[Metadata] | OmitrGzjob_create_params.Method | OmitrHzOptional[int] | OmitrIOptional[str] | OmitrJrrKHeaders | NonerL Query | NonerM Body | NonerN(float | httpx2.Timeout | None | NotGivenrr) rgrrKrrLrrMrrNrrr))rp str | Omitrq int | OmitrFOptional[Dict[str, str]] | OmitrKrrLrrMrrNrrzSyncCursorPage[FineTuningJob])rgrrprrqrrKrrLrrMrrNrrz"SyncCursorPage[FineTuningJobEvent]__name__ __module__ __qualname____firstlineno____doc__rr6r<rArrr_rmr{rrrr__static_attributes__rr8r5r+r+"sS))))//EIQU.226%)'+04)-$("&> (. %#"  r8c # U(d[SU<35eUR[SUS9[UUUUSS0S9[S9IShvN $N7f) rrdrrfrUTrVrhNrrls r5rAsyncJobs.pausesl."`as`vwx xZZ H]o p(+'%'. "    rc # U(d[SU<35eUR[SUS9[UUUUSS0S9[S9IShvN $N7f) rrdrrfrUTrVrhNrrls r5rAsyncJobs.resume&rrr)rr)rr)rrrr)rprrqrrFrrKrrLrrMrrNrrz=AsyncPaginator[FineTuningJob, AsyncCursorPage[FineTuningJob]])rgrrprrqrrKrrLrrMrrNrrzGAsyncPaginator[FineTuningJobEvent, AsyncCursorPage[FineTuningJobEvent]]rrr8r5r,r,s!S....44EIQU.226%)'+04)-$("&> KK  )@@ MM  %<< II  '>> KK  ,CC    &== JJ  '>> KK  r8c@[URR5$r1)rrr6r3s r5r6JobsWithRawResponse.checkpointsfs*$***@*@AAr8rrr_r{rrrrmNrr+rNone)rrrrrrrrr6rrr8r5r;r;Ls 2BBr8r;c2\rSrSrSSjr\SSj5rSrg)rilcXl[R"UR5Ul[R"UR5Ul[R"UR 5Ul[R"UR 5Ul[R"UR5Ul[R"UR5Ul[R"UR5Ul gr) rr async_to_raw_response_wrapperr_rmr{rrrrrs r5r!AsyncJobsWithRawResponse.__init__ms &DD KK  )FF MM  %BB II  'DD KK  ,II    &CC JJ  'DD KK  r8c@[URR5$r1)rrr6r3s r5r6$AsyncJobsWithRawResponse.checkpointss/tzz/E/EFFr8rNrr,rr)rrrrr8r5rrls 2GGr8rc2\rSrSrSSjr\SSj5rSrg)r@ic|Xl[UR5Ul[UR5Ul[UR5Ul[UR 5Ul[UR 5Ul[UR5Ul[UR5Ulgr) rrr_rmr{rrrrrs r5r"JobsWithStreamingResponse.__init__s 2 KK  5 MM  1 II  3 KK  8    2 JJ  3 KK  r8c@[URR5$r1)rrr6r3s r5r6%JobsWithStreamingResponse.checkpointss0 0F0FGGr8rNr)rrrrr8r5r@r@s 2HHr8r@c2\rSrSrSSjr\SSj5rSrg)ric|Xl[UR5Ul[UR5Ul[UR5Ul[UR 5Ul[UR 5Ul[UR5Ul[UR5Ulgr) rr r_rmr{rrrrrs r5r'AsyncJobsWithStreamingResponse.__init__s 8 KK  ; MM  7 II  9 KK  >    8 JJ  9 KK  r8c@[URR5$r1)rrr6r3s r5r6*AsyncJobsWithStreamingResponse.checkpointss5TZZ5K5KLLr8rNr)rrrrr8r5rrs 2MMr8r)> __future__rtypingrrrrtyping_extensionsrhttpx2r _typesr r r rrrr_utilsrrr_compatrr6rrrrrr _resourcerr _responserr paginationr!r" _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;rr@rrr8r5rs#22% !LLLLL'<Z:A\\5?J ; R ?R j R  R j BB@GG@HH@MMr8