grddlmZddlmZmZmZddlmZddlZddl m Z ddl m Z m Z mZmZmZddlmZmZdd lmZd d lmZmZmZmZmZmZdd lmZmZdd l m!Z!m"Z"ddl#m$Z$m%Z%ddl&m'Z'm(Z(ddl)m*Z*m+Z+m,Z,ddl-m.Z.ddl/m0Z0ddgZ1GddeZ2GddeZ3GddZ4GddZ5GddZ6GddZ7y)) annotations)UnionIterableOptional)LiteralN)_legacy_response) NOT_GIVENBodyQueryHeadersNotGiven)maybe_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) FineTuningJob)FineTuningJobEventJobs AsyncJobsc PeZdZed dZeddZeddZeeeeeeddded ddZddded ddZ eeddded  dd Z ddded dd Z eeddded  dd Z y)r&c,t|jSN)r_clientselfs [/var/www/openai/venv/lib/python3.12/site-packages/openai/resources/fine_tuning/jobs/jobs.py checkpointszJobs.checkpoints(s4<<((ct|Sa This property can be used as a prefix for any HTTP method call to return the 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 )JobsWithRawResponser,s r.with_raw_responsezJobs.with_raw_response,s#4((r0ct|Sz 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 )JobsWithStreamingResponser,s r.with_streaming_responsezJobs.with_streaming_response6s)..r0N hyperparameters integrationsmethodseedsuffixvalidation_file extra_headers extra_query extra_bodytimeoutc |jdt||||||||dtjt | | | | t S) 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/fine-tuning) 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/fine-tuning) 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. 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/fine-tuning) 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/jobsmodel training_filer:r;r<r=r>r?r@rArBrCbodyoptionscast_to)_postrr"JobCreateParamsr r$ r-rHrIr:r;r<r=r>r?r@rArBrCs r.createz Jobs.create?shnzz  "%2'6$0$ $'6 "11 )+Q[el"%  r0rJc r|std||jd|t||||tS) Get info about a fine-tuning job. [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning) Args: extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds AExpected a non-empty value for `fine_tuning_job_id` but received /fine_tuning/jobs/rJrMrN ValueError_getr r$r-fine_tuning_job_idr@rArBrCs r.retrievez Jobs.retrievesV2"`as`vwx xyy !3 4 5(+Q[el"   r0afterlimitr@rArBrCc|jdttt||||t ||dt j tSa 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. 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 rFr_r`r@rArBrCquerypagerMrH) _get_api_listrr$r rr! JobListParamsr-r_r`r@rArBrCs r.listz Jobs.lists^8!!  .(+'%%!&!&$11   !"  r0c t|std||jd|dt||||tS)W Immediately cancel a fine-tune job. Args: extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds rUrV/cancelrJrWrYrOr r$r[s r.cancelz Jobs.cancelsX."`as`vwx xzz !3 4G <(+Q[el"   r0c|std||jd|dttt ||||t ||dt jtSa 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 rUrVz/eventsrcrdrf)rYrhrr%r rr#JobListEventsParamsr-r\r_r`r@rArBrCs r. list_eventszJobs.list_eventss:"`as`vwx x!! !3 4G < 23(+'%%!&!&+>>  %!"  r0)returnr)rvr3)rvr7rHzQUnion[str, Literal['babbage-002', 'davinci-002', 'gpt-3.5-turbo', 'gpt-4o-mini']]rIstrr:z,job_create_params.Hyperparameters | NotGivenr;zOptional[str] | NotGivenr?ryr@Headers | NonerA Query | NonerB Body | NonerC'float | httpx.Timeout | None | NotGivenrvr$ r\rxr@rzrAr{rBr|rCr}rvr$)r_str | NotGivenr`int | NotGivenr@rzrAr{rBr|rCr}rvzSyncCursorPage[FineTuningJob])r\rxr_rr`rr@rzrAr{rBr|rCr}rvz"SyncCursorPage[FineTuningJobEvent] __name__ __module__ __qualname__rr/r4r8r rRr]rkrprur0r.r&r&'s`))))//IRU^6?)2+44=)-$("&;D!j aj  j F j S j 4j 'j )j 2j &j "j  j 9!j " #j d)-$("&;D! ! & ! "!  ! 9!  ! L!* ))-$("&;D- -  - &- "-  - 9-  '- j)-$("&;D  &  "   9   J!* ))-$("&;D0 0  0  0 &0 "0  0 90  ,0 r0c PeZdZed dZeddZeddZeeeeeeddded ddZddded ddZ eeddded  dd Z ddded dd Z eeddded  dd Z y)r'c,t|jSr*)rr+r,s r.r/zAsyncJobs.checkpointsRs --r0ct|Sr2)AsyncJobsWithRawResponser,s r.r4zAsyncJobs.with_raw_responseVs(--r0ct|Sr6)AsyncJobsWithStreamingResponser,s r.r8z!AsyncJobs.with_streaming_response`s.d33r0Nr9c K|jdt||||||||dtjd{t | | | | t d{S7$7w)rErFrGNrJrK)rOrr"rPr r$rQs r.rRzAsyncJobs.createisnZZ ,"%2'6$0$ $'6 "11  )+Q[el"%      s!3AA AAAArJc K|std||jd|t||||td{S7w)rTrUrVrJrWNrXr[s r.r]zAsyncJobs.retrievesd2"`as`vwx xYY !3 4 5(+Q[el"     s>  %!"  r0)rvr)rvr)rvrrwr~)r_rr`rr@rzrAr{rBr|rCr}rvz=AsyncPaginator[FineTuningJob, AsyncCursorPage[FineTuningJob]])r\rxr_rr`rr@rzrAr{rBr|rCr}rvzGAsyncPaginator[FineTuningJobEvent, AsyncCursorPage[FineTuningJobEvent]]rrr0r.r'r'Qsb....44IRU^6?)2+44=)-$("&;D!j aj  j F j S j 4j 'j )j 2j &j "j  j 9!j " #j d)-$("&;D! ! & ! "!  ! 9!  ! L!* ))-$("&;D- -  - &- "-  - 9-  G- j)-$("&;D  &  "   9   J!* ))-$("&;D0 0  0  0 &0 "0  0 90  Q0 r0c&eZdZddZeddZy)r3cz||_tj|j|_tj|j|_tj|j |_tj|j |_tj|j|_yr*)_jobsr to_raw_response_wrapperrRr]rkrprur-jobss r.__init__zJobsWithRawResponse.__init__|s &>> KK  )@@ MM  %<< II  '>> KK  ,CC    r0c@t|jjSr*)rrr/r,s r.r/zJobsWithRawResponse.checkpointss)$***@*@AAr0Nrr&rvNone)rvrrrrrrr/rr0r.r3r3{s &BBr0r3c&eZdZddZeddZy)rcz||_tj|j|_tj|j|_tj|j |_tj|j |_tj|j|_yr*)rr async_to_raw_response_wrapperrRr]rkrprurs r.rz!AsyncJobsWithRawResponse.__init__s &DD KK  )FF MM  %BB II  'DD KK  ,II    r0c@t|jjSr*)rrr/r,s r.r/z$AsyncJobsWithRawResponse.checkpointss.tzz/E/EFFr0Nrr'rvr)rvrrrr0r.rrs &GGr0rc&eZdZddZeddZy)r7c||_t|j|_t|j|_t|j|_t|j |_t|j |_yr*)rrrRr]rkrprurs r.rz"JobsWithStreamingResponse.__init__ss 2 KK  5 MM  1 II  3 KK  8    r0c@t|jjSr*)rrr/r,s r.r/z%JobsWithStreamingResponse.checkpointss/ 0F0FGGr0Nr)rvrrrr0r.r7r7s &HHr0r7c&eZdZddZeddZy)rc||_t|j|_t|j|_t|j|_t|j |_t|j |_yr*)rrrRr]rkrprurs r.rz'AsyncJobsWithStreamingResponse.__init__ss 8 KK  ; MM  7 II  9 KK  >    r0c@t|jjSr*)rrr/r,s r.r/z*AsyncJobsWithStreamingResponse.checkpointss4TZZ5K5KLLr0Nr)rvrrrr0r.rrs &MMr0r)8 __future__rtypingrrrtyping_extensionsrhttpxr _typesr r r r r_utilsrr_compatrr/rrrrrr _resourcerr _responserr paginationrr _base_clientrr types.fine_tuningr!r"r#!types.fine_tuning.fine_tuning_jobr$'types.fine_tuning.fine_tuning_job_eventr%__all__r&r'r3rr7rrr0r.rs#,,% !@@(<Z:]\?J ; g ?g T g  g T BB2GG2HH2MMr0