OjddlmZddlmZmZmZmZddlmZddl Z ddl m Z ddl m Z mZmZmZmZmZmZddlmZmZmZdd lmZd d lmZmZmZmZmZm Z dd l!m"Z"m#Z#dd l$m%Z%m&Z&ddl'm(Z(m)Z)ddl*m+Z+m,Z,ddl-m.Z.m/Z/m0Z0ddl1m2Z2ddl3m4Z4ddl5m6Z6ddgZ7Gdde"Z8Gdde#Z9GddZ:GddZ;GddZ<GddZ=y) ) 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 eZdZdZeddZeddZeddZeeeeeeeddde d ddZ ddde d dd Z eeeddde d  dd Z ddde d dd Z eeddde d  ddZddde d ddZddde d ddZy)r+IManage fine-tuning jobs to tailor a model to your specific training data.c,t|jSr.)r_clientselfs }/var/www/origus_pro_usr/data/www/origus.pro/core/.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 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 )JobsWithRawResponser2s r4with_raw_responsezJobs.with_raw_response*s#4((r6ct|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 )JobsWithStreamingResponser2s r4with_streaming_responsezJobs.with_streaming_response4s)..r6N hyperparameters integrationsmetadatamethodseedsuffixvalidation_file extra_headers extra_query extra_bodytimeoutc |jdt||||||||| d tjt | | | | ddit 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://developers.openai.com/api/docs/guides/model-optimization) Args: model: The name of the model to fine-tune. You can select one of the [supported models](https://developers.openai.com/api/docs/guides/model-optimization#fine-tuning-methods). training_file: The ID of an uploaded file that contains training data. See [upload file](https://developers.openai.com/api/reference/resources/files/methods/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://developers.openai.com/api/docs/guides/supervised-fine-tuning#formatting-your-data), [completions](https://developers.openai.com/api/docs/guides/supervised-fine-tuning#formatting-your-data) format, or if the fine-tuning method uses the [preference](https://developers.openai.com/api/docs/guides/direct-preference-optimization) format. See the [fine-tuning guide](https://developers.openai.com/api/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://developers.openai.com/api/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_filer@rArBrCrDrErF bearer_authTrGrHrIrJsecuritybodyoptionscast_to)_postrr&JobCreateParamsr$r)r3rOrPr@rArBrCrDrErFrGrHrIrJs r4createz Jobs.create=stDzz  "%2'6$0 ($ $'6 "11 )+'%'. "/  r6rGrHrIrJc |std||jtd|t||||dditS) Get info about a fine-tuning job. [Learn more about fine-tuning](https://developers.openai.com/api/docs/guides/model-optimization) Args: extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds AExpected a non-empty value for `fine_tuning_job_id` but received &/fine_tuning/jobs/{fine_tuning_job_id}fine_tuning_job_idrQTrRrVrW ValueError_getrr$r)r3rbrGrHrIrJs r4retrievez Jobs.retrieves_2"`as`vwx xyy BWi j(+'%'. "  r6afterlimitrBrGrHrIrJc|jdttt||||t |||dt j dditSa 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 rM)rjrkrBrQTrGrHrIrJqueryrSpagerVrO) _get_api_listr!r)r$rr% JobListParamsr3rjrkrBrGrHrIrJs r4listz Jobs.listsl@!!  .(+'%%!&!&$, $11 (. %"  r6c |std||jtd|t||||dditS)W Immediately cancel a fine-tune job. Args: extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds r_-/fine_tuning/jobs/{fine_tuning_job_id}/cancelrarQTrRrcrerXrr$r)rgs r4cancelz Jobs.cancel_."`as`vwx xzz I^p q(+'%'. "  r6rjrkrGrHrIrJc|std||jtd|ttt ||||t ||dtjdditS 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 r_z-/fine_tuning/jobs/{fine_tuning_job_id}/eventsra)rjrkrQTrnrp) rerrrr!r*r$rr'JobListEventsParamsr3rbrjrkrGrHrIrJs r4 list_eventszJobs.list_events:s:"`as`vwx x!! I^p q 23(+'%%!&!&+>> (. %#"  r6c |std||jtd|t||||dditS)J Pause a fine-tune job. Args: extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds r_,/fine_tuning/jobs/{fine_tuning_job_id}/pauserarQTrRrcryrgs r4pausez Jobs.pausems_."`as`vwx xzz H]o p(+'%'. "  r6c |std||jtd|t||||dditS)K Resume a fine-tune job. Args: extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds r_-/fine_tuning/jobs/{fine_tuning_job_id}/resumerarQTrRrcryrgs r4resumez Jobs.resumer{r6)returnr)rr9)rr=rOzQUnion[str, Literal['babbage-002', 'davinci-002', 'gpt-3.5-turbo', 'gpt-4o-mini']]rPstrr@z(job_create_params.Hyperparameters | OmitrAz8Optional[Iterable[job_create_params.Integration]] | OmitrBzOptional[Metadata] | OmitrCzjob_create_params.Method | OmitrDzOptional[int] | OmitrEOptional[str] | OmitrFrrGHeaders | NonerH Query | NonerI Body | NonerJ(float | httpx2.Timeout | None | NotGivenrr) rbrrGrrHrrIrrJrrr))rj str | Omitrk int | OmitrBOptional[Dict[str, str]] | OmitrGrrHrrIrrJrrzSyncCursorPage[FineTuningJob])rbrrjrrkrrGrrHrrIrrJrrz"SyncCursorPage[FineTuningJobEvent]__name__ __module__ __qualname____doc__rr5r:r>rrr[rhrurzrrrr6r4r+r+"sS))))//EIQU.226%)'+04)-$("&z!AsyncJobs.with_streaming_responses.d33r6Nr?c K|jdt||||||||| d tjd{t | | | | ddit d{S7'7w)rLrMrNNrQTrRrT)rXrr&rYr$r)rZs r4r[zAsyncJobs.createsDZZ ,"%2'6$0 ($ $'6 "11  )+'%'. "/      s!4A"A "A"A A" A"r\c K|std||jtd|t||||dditd{S7w) r^r_r`rarQTrRrcNrdrgs r4rhzAsyncJobs.retrieveOsm2"`as`vwx xYY BWi j(+'%'. "    AA A Aric|jdttt||||t |||dt j dditSrm)rrr"r)r$rr%rsrts r4ruzAsyncJobs.listvsl@!!  /(+'%%!&!&$, $11 (. %"  r6c K|std||jtd|t||||dditd{S7w) rwr_rxrarQTrRrcNryrgs r4rzzAsyncJobs.cancelm."`as`vwx xZZ I^p q(+'%'. "    rr|c|std||jtd|ttt ||||t ||dtjdditSr~) rerrrr"r*r$rr'rrs r4rzAsyncJobs.list_eventss:"`as`vwx x!! I^p q !34(+'%%!&!&+>> (. %#"  r6c K|std||jtd|t||||dditd{S7w) rr_rrarQTrRrcNryrgs r4rzAsyncJobs.pausesm."`as`vwx xZZ H]o p(+'%'. 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