ZiddlmZddlmZddlmZmZddlZddlm Z ddl m Z ddl m Z mZmZmZmZdd lmZmZmZmZdd lmZdd lmZmZdd lmZmZdd lm Z ddl!m"Z"m#Z#ddl$m%Z%ddl&m'Z'ddl(m)Z)ddl*m+Z+ddgZ,GddeZ-GddeZ.GddZ/GddZ0GddZ1GddZ2dS)) annotations)List)LiteraloverloadN)_legacy_response)completion_create_params) NOT_GIVENBodyQueryHeadersNotGiven)is_given required_argsmaybe_transformasync_maybe_transform)cached_property)SyncAPIResourceAsyncAPIResource)to_streamed_response_wrapper"async_to_streamed_response_wrapper)DEFAULT_TIMEOUT)Stream AsyncStream)make_request_options) Completion) ModelParam) MetadataParam CompletionsAsyncCompletionsc eZdZed.dZed/dZeeeeeeeddded d0d"Zeeeeeeddded# d1d&Zeeeeeeddded# d2d)Ze gd*gd+eeeeeeddded d3d-ZdS)4rreturnCompletionsWithRawResponsec t|Sa This property can be used as a prefix for any HTTP method call to return the the raw response object instead of the parsed content. For more information, see https://www.github.com/anthropics/anthropic-sdk-python#accessing-raw-response-data-eg-headers )r#selfs i/var/www/html/jarvis.com/web/backend/venv/lib/python3.11/site-packages/anthropic/resources/completions.pywith_raw_responsezCompletions.with_raw_response!s*$/// CompletionsWithStreamingResponsec t|Sz An alternative to `.with_raw_response` that doesn't eagerly read the response body. For more information, see https://www.github.com/anthropics/anthropic-sdk-python#with_streaming_response )r+r&s r(with_streaming_responsez#Completions.with_streaming_response+s0555r*N metadatastop_sequencesstream temperaturetop_ktop_p extra_headers extra_query extra_bodytimeoutmax_tokens_to_sampleintmodelrpromptstrr0MetadataParam | NotGivenr1List[str] | NotGivenr2Literal[False] | NotGivenr3float | NotGivenr4int | NotGivenr5r6Headers | Noner7 Query | Noner8 Body | Noner9'float | httpx.Timeout | None | NotGivenrc dSa[[Legacy] Create a Text Completion. The Text Completions API is a legacy API. We recommend using the [Messages API](https://docs.anthropic.com/en/api/messages) going forward. Future models and features will not be compatible with Text Completions. See our [migration guide](https://docs.anthropic.com/en/api/migrating-from-text-completions-to-messages) for guidance in migrating from Text Completions to Messages. Args: max_tokens_to_sample: The maximum number of tokens to generate before stopping. Note that our models may stop _before_ reaching this maximum. This parameter only specifies the absolute maximum number of tokens to generate. model: The model that will complete your prompt. See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options. prompt: The prompt that you want Claude to complete. For proper response generation you will need to format your prompt using alternating ` Human:` and ` Assistant:` conversational turns. For example: ``` " Human: {userQuestion} Assistant:" ``` See [prompt validation](https://docs.anthropic.com/en/api/prompt-validation) and our guide to [prompt design](https://docs.anthropic.com/en/docs/intro-to-prompting) for more details. metadata: An object describing metadata about the request. stop_sequences: Sequences that will cause the model to stop generating. Our models stop on `" Human:"`, and may include additional built-in stop sequences in the future. By providing the stop_sequences parameter, you may include additional strings that will cause the model to stop generating. stream: Whether to incrementally stream the response using server-sent events. See [streaming](https://docs.anthropic.com/en/api/streaming) for details. temperature: Amount of randomness injected into the response. Defaults to `1.0`. Ranges from `0.0` to `1.0`. Use `temperature` closer to `0.0` for analytical / multiple choice, and closer to `1.0` for creative and generative tasks. Note that even with `temperature` of `0.0`, the results will not be fully deterministic. top_k: Only sample from the top K options for each subsequent token. Used to remove "long tail" low probability responses. [Learn more technical details here](https://towardsdatascience.com/how-to-sample-from-language-models-682bceb97277). Recommended for advanced use cases only. You usually only need to use `temperature`. top_p: Use nucleus sampling. In nucleus sampling, we compute the cumulative distribution over all the options for each subsequent token in decreasing probability order and cut it off once it reaches a particular probability specified by `top_p`. You should either alter `temperature` or `top_p`, but not both. Recommended for advanced use cases only. You usually only need to use `temperature`. 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 Nr'r:r<r=r0r1r2r3r4r5r6r7r8r9s r(createzCompletions.create4 L r* r0r1r3r4r5r6r7r8r9 Literal[True]Stream[Completion]c dSa[[Legacy] Create a Text Completion. The Text Completions API is a legacy API. We recommend using the [Messages API](https://docs.anthropic.com/en/api/messages) going forward. Future models and features will not be compatible with Text Completions. See our [migration guide](https://docs.anthropic.com/en/api/migrating-from-text-completions-to-messages) for guidance in migrating from Text Completions to Messages. Args: max_tokens_to_sample: The maximum number of tokens to generate before stopping. Note that our models may stop _before_ reaching this maximum. This parameter only specifies the absolute maximum number of tokens to generate. model: The model that will complete your prompt. See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options. prompt: The prompt that you want Claude to complete. For proper response generation you will need to format your prompt using alternating ` Human:` and ` Assistant:` conversational turns. For example: ``` " Human: {userQuestion} Assistant:" ``` See [prompt validation](https://docs.anthropic.com/en/api/prompt-validation) and our guide to [prompt design](https://docs.anthropic.com/en/docs/intro-to-prompting) for more details. stream: Whether to incrementally stream the response using server-sent events. See [streaming](https://docs.anthropic.com/en/api/streaming) for details. metadata: An object describing metadata about the request. stop_sequences: Sequences that will cause the model to stop generating. Our models stop on `" Human:"`, and may include additional built-in stop sequences in the future. By providing the stop_sequences parameter, you may include additional strings that will cause the model to stop generating. temperature: Amount of randomness injected into the response. Defaults to `1.0`. Ranges from `0.0` to `1.0`. Use `temperature` closer to `0.0` for analytical / multiple choice, and closer to `1.0` for creative and generative tasks. Note that even with `temperature` of `0.0`, the results will not be fully deterministic. top_k: Only sample from the top K options for each subsequent token. Used to remove "long tail" low probability responses. [Learn more technical details here](https://towardsdatascience.com/how-to-sample-from-language-models-682bceb97277). Recommended for advanced use cases only. You usually only need to use `temperature`. top_p: Use nucleus sampling. In nucleus sampling, we compute the cumulative distribution over all the options for each subsequent token in decreasing probability order and cut it off once it reaches a particular probability specified by `top_p`. You should either alter `temperature` or `top_p`, but not both. Recommended for advanced use cases only. You usually only need to use `temperature`. 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 NrJr'r:r<r=r2r0r1r3r4r5r6r7r8r9s r(rLzCompletions.createrMr*boolCompletion | Stream[Completion]c dSrRrJrSs r(rLzCompletions.createrMr*r:r<r=r:r<r=r2)Literal[False] | Literal[True] | NotGivenc t| s|jjtkrd} |dt ||||||||| d t jt| | | | t|pdttSNiXz /v1/complete) r:r<r=r0r1r2r3r4r5)r6r7r8r9F)bodyoptionscast_tor2 stream_cls) r_clientr9r_postrr CompletionCreateParamsrrrrKs r(rLzCompletions.createls(   T\%9_%L%LGzz  ,@"$ (&4$#.""  )?  )+Q[el?Uj)+   r*)r"r#)r"r+r:r;r<rr=r>r0r?r1r@r2rAr3rBr4rCr5rBr6rDr7rEr8rFr9rGr"r)r:r;r<rr=r>r2rOr0r?r1r@r3rBr4rCr5rBr6rDr7rEr8rFr9rGr"rP)r:r;r<rr=r>r2rTr0r?r1r@r3rBr4rCr5rBr6rDr7rEr8rFr9rGr"rU)r:r;r<rr=r>r0r?r1r@r2rYr3rBr4rCr5rBr6rDr7rEr8rFr9rGr"rU __name__ __module__ __qualname__rr)r.rr rLrrJr*r(rr s000_0666_6.7/8,5(1 )"+)-$("&;D#e e e e e Xe N.7/8(1 )"+)-$("&;D#e e e e e Xe N.7/8(1 )"+)-$("&;D#e e e e e Xe N]>>>@u@u@uvv.7/8r0r?r1r@r2rAr3rBr4rCr5r6rDr7rEr8rFr9rGrc  KdSrIrJrKs r(rLzAsyncCompletions.createL r*rNrOAsyncStream[Completion]c  KdSrRrJrSs r(rLzAsyncCompletions.creaternr*rT$Completion | AsyncStream[Completion]c  KdSrRrJrSs r(rLzAsyncCompletions.creaternr*rWrXrYc 4Kt| s|jjtkrd} |dt ||||||||| d t jd{Vt| | | | t|pdttd{VSr[) rr`r9rrarr rbrrrrKs r(rLzAsyncCompletions.creates(   T\%9_%L%LGZZ ,,@"$ (&4$#.""  )?        )+Q[el?U":.+          r*)r"ri)r"rkrc)r:r;r<rr=r>r2rOr0r?r1r@r3rBr4rCr5rBr6rDr7rEr8rFr9rGr"ro)r:r;r<rr=r>r2rTr0r?r1r@r3rBr4rCr5rBr6rDr7rEr8rFr9rGr"rq)r:r;r<rr=r>r0r?r1r@r2rYr3rBr4rCr5rBr6rDr7rEr8rFr9rGr"rqrdrJr*r(r r s555_5;;;_;.7/8,5(1 )"+)-$("&;D#e e e e e Xe N.7/8(1 )"+)-$("&;D#e e e e e Xe N.7/8(1 )"+)-$("&;D#e e e e e Xe N]>>>@u@u@uvv.7/8     r*Nrurr"rvrerfrgr|rJr*r(r#r#(      r*r#ceZdZddZdS)rirur r"rvcP||_tj|j|_dSrx)ryrasync_to_raw_response_wrapperrLr{s r(r|z(AsyncCompletionsWithRawResponse.__init__ s('&D     r*Nrur r"rvr~rJr*r(ririrr*riceZdZddZdS)r+rurr"rvcF||_t|j|_dSrx)ryrrLr{s r(r|z)CompletionsWithStreamingResponse.__init__)s%'2     r*Nr}r~rJr*r(r+r+(rr*r+ceZdZddZdS)rkrur r"rvcF||_t|j|_dSrx)ryrrLr{s r(r|z.AsyncCompletionsWithStreamingResponse.__init__2s%'8     r*Nrr~rJr*r(rkrk1rr*rk)3 __future__rtypingrtyping_extensionsrrhttpxrtypesr _typesr r r r r_utilsrrrr_compatr _resourcerr _responserr _constantsr _streamingrr _base_clientrtypes.completionrtypes.model_paramrtypes.metadata_paramr__all__rr r#rir+rkrJr*r(rs#"""""//////// ,,,,,,>>>>>>>>>>>>>> &%%%%%99999999XXXXXXXX((((((,,,,,,,,//////))))))******000000 , -x x x x x /x x x v x x x x x 'x x x v                                   r*