o j_@s4ddlmZddlmZmZddlmZddlZddlm Z ddl m Z m Z m Z mZmZddlmZmZdd lmZdd lmZmZdd lmZmZdd lmZmZdd lmZm Z ddl!m"Z"m#Z#m$Z$m%Z%m&Z&ddgZ'GdddeZ(GdddeZ)GdddZ*GdddZ+GdddZ,GdddZ-dS)) annotations)UnionOptional)LiteralN)_legacy_response) NOT_GIVENBodyQueryHeadersNotGiven)maybe_transformasync_maybe_transform)cached_property)SyncAPIResourceAsyncAPIResource)to_streamed_response_wrapper"async_to_streamed_response_wrapper)SyncCursorPageAsyncCursorPage)AsyncPaginatormake_request_options) FineTuningJobFineTuningJobEventjob_list_paramsjob_create_paramsjob_list_events_paramsJobs AsyncJobsc@eZdZed/ddZed0ddZeeeddded d1ddZdddedd2d d!Zeeddded"d3d(d)Z dddedd2d*d+Z eeddded"d4d-d.Z dS)5rreturnJobsWithRawResponsecCt|SN)r!selfr&g/var/www/html/fyndo/pharma/fyndo/venv/lib/python3.10/site-packages/openai/resources/fine_tuning/jobs.pywith_raw_response$zJobs.with_raw_responseJobsWithStreamingResponsecCr"r#)r*r$r&r&r'with_streaming_response(r)zJobs.with_streaming_responseNhyperparameterssuffixvalidation_file extra_headers extra_query extra_bodytimeoutmodelBUnion[str, Literal['babbage-002', 'davinci-002', 'gpt-3.5-turbo']] training_filestrr-,job_create_params.Hyperparameters | NotGivenr.Optional[str] | NotGivenr/r0Headers | Noner1 Query | Noner2 Body | Noner3'float | httpx.Timeout | None | NotGivenrc Cs2|jdt|||||dtjt|||| dtdS) 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/what-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/upload) 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`. 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. suffix: A string of up to 18 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-3.5-turbo: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/jobsr4r6r-r.r/r0r1r2r3bodyoptionscast_to)_postr rJobCreateParamsrr r%r4r6r-r.r/r0r1r2r3r&r&r'create,s D z Jobs.createrAfine_tuning_job_idcCs4|s td||jd|t||||dtdS) 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/rArDrE ValueError_getrrr%rJr0r1r2r3r&r&r'retrievesz Jobs.retrieveafterlimitr0r1r2r3rUstr | NotGivenrVint | NotGivenSyncCursorPage[FineTuningJob]c C2|jdttt||||t||dtjdtdSa 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 r?rUrVr0r1r2r3querypagerDr4) _get_api_listrrrr r JobListParamsr%rUrVr0r1r2r3r&r&r'list" z Jobs.listcCs6|s td||jd|dt||||dtdS)W Immediately cancel a fine-tune job. 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