OYhfRkddlmZddlmZmZmZddlmZddlZddl 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 JeZdZed dZeddZeddZeeeeeddded ddZddded ddZ eeddded  dd Z ddded dd Z eeddded  dd Z y)r&c,t|jSN)r_clientselfs e/var/www/feuerwehr-webapp/venv/lib/python3.12/site-packages/openai/resources/fine_tuning/jobs/jobs.py checkpointszJobs.checkpoints(s4<<((ct|Sr*)JobsWithRawResponser,s r.with_raw_responsezJobs.with_raw_response,s "4((r0ct|Sr*)JobsWithStreamingResponser,s r.with_streaming_responsezJobs.with_streaming_response0s (..r0N hyperparameters integrationsseedsuffixvalidation_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/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/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) or [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-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. integrations: A list of integrations to enable for your fine-tuning job. 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 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/jobsmodel training_filer8r9r:r;r<r=r>r?r@bodyoptionscast_to)_postrr"JobCreateParamsr r$ r-rErFr8r9r:r;r<r=r>r?r@s r.createz Jobs.create4sebzz  "%2'6$0 $'6"11 )+Q[el"#  r0rGc r|std||jd|t||||tS) Get info about a fine-tuning job. [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning) Args: extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds AExpected a non-empty value for `fine_tuning_job_id` but received /fine_tuning/jobs/rGrJrK ValueError_getr r$r-fine_tuning_job_idr=r>r?r@s r.retrievez Jobs.retrievesV2"`as`vwx xyy !3 4 5(+Q[el"   r0afterlimitr=r>r?r@c|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 rCr\r]r=r>r?r@querypagerJrE) _get_api_listrr$r rr! JobListParamsr-r\r]r=r>r?r@s r.listz Jobs.lists^8!!  .(+'%%!&!&$11   !"  r0c t|std||jd|dt||||tS)W Immediately cancel a fine-tune job. Args: extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds rRrS/cancelrGrTrVrLr r$rXs 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 rRrSz/eventsr`rarc)rVrerr%r rr#JobListEventsParamsr-rYr\r]r=r>r?r@s r. list_eventszJobs.list_events s:"`as`vwx x!! !3 4G < 23(+'%%!&!&+>>  %!"  r0)returnr)rsr2)rsr5rEzBUnion[str, Literal['babbage-002', 'davinci-002', 'gpt-3.5-turbo']]rFstrr8z,job_create_params.Hyperparameters | NotGivenr9z Query | Noner? 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