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Add all the original files from the deleted 0.2.8 npm package
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daniel nakov
166
vendor/sdk/resources/completions.d.ts
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166
vendor/sdk/resources/completions.d.ts
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import { APIResource } from "../resource.js";
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import { APIPromise } from "../core.js";
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import * as Core from "../core.js";
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import * as CompletionsAPI from "./completions.js";
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import * as MessagesAPI from "./messages/messages.js";
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import { Stream } from "../streaming.js";
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export declare class Completions extends APIResource {
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/**
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* [Legacy] Create a Text Completion.
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*
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* The Text Completions API is a legacy API. We recommend using the
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* [Messages API](https://docs.anthropic.com/en/api/messages) going forward.
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*
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* Future models and features will not be compatible with Text Completions. See our
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* [migration guide](https://docs.anthropic.com/en/api/migrating-from-text-completions-to-messages)
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* for guidance in migrating from Text Completions to Messages.
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*/
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create(body: CompletionCreateParamsNonStreaming, options?: Core.RequestOptions): APIPromise<Completion>;
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create(body: CompletionCreateParamsStreaming, options?: Core.RequestOptions): APIPromise<Stream<Completion>>;
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create(body: CompletionCreateParamsBase, options?: Core.RequestOptions): APIPromise<Stream<Completion> | Completion>;
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}
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export interface Completion {
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/**
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* Unique object identifier.
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*
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* The format and length of IDs may change over time.
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*/
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id: string;
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/**
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* The resulting completion up to and excluding the stop sequences.
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*/
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completion: string;
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/**
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* The model that will complete your prompt.\n\nSee
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* [models](https://docs.anthropic.com/en/docs/models-overview) for additional
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* details and options.
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*/
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model: MessagesAPI.Model;
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/**
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* The reason that we stopped.
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*
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* This may be one the following values:
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*
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* - `"stop_sequence"`: we reached a stop sequence — either provided by you via the
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* `stop_sequences` parameter, or a stop sequence built into the model
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* - `"max_tokens"`: we exceeded `max_tokens_to_sample` or the model's maximum
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*/
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stop_reason: string | null;
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/**
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* Object type.
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*
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* For Text Completions, this is always `"completion"`.
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*/
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type: 'completion';
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}
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export type CompletionCreateParams = CompletionCreateParamsNonStreaming | CompletionCreateParamsStreaming;
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export interface CompletionCreateParamsBase {
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/**
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* The maximum number of tokens to generate before stopping.
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*
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* Note that our models may stop _before_ reaching this maximum. This parameter
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* only specifies the absolute maximum number of tokens to generate.
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*/
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max_tokens_to_sample: number;
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/**
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* The model that will complete your prompt.\n\nSee
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* [models](https://docs.anthropic.com/en/docs/models-overview) for additional
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* details and options.
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*/
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model: MessagesAPI.Model;
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/**
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* The prompt that you want Claude to complete.
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*
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* For proper response generation you will need to format your prompt using
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* alternating `\n\nHuman:` and `\n\nAssistant:` conversational turns. For example:
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*
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* ```
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* "\n\nHuman: {userQuestion}\n\nAssistant:"
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* ```
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*
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* See [prompt validation](https://docs.anthropic.com/en/api/prompt-validation) and
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* our guide to
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* [prompt design](https://docs.anthropic.com/en/docs/intro-to-prompting) for more
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* details.
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*/
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prompt: string;
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/**
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* An object describing metadata about the request.
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*/
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metadata?: MessagesAPI.Metadata;
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/**
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* Sequences that will cause the model to stop generating.
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*
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* Our models stop on `"\n\nHuman:"`, and may include additional built-in stop
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* sequences in the future. By providing the stop_sequences parameter, you may
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* include additional strings that will cause the model to stop generating.
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*/
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stop_sequences?: Array<string>;
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/**
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* Whether to incrementally stream the response using server-sent events.
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*
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* See [streaming](https://docs.anthropic.com/en/api/streaming) for details.
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*/
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stream?: boolean;
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/**
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* Amount of randomness injected into the response.
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*
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* Defaults to `1.0`. Ranges from `0.0` to `1.0`. Use `temperature` closer to `0.0`
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* for analytical / multiple choice, and closer to `1.0` for creative and
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* generative tasks.
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*
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* Note that even with `temperature` of `0.0`, the results will not be fully
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* deterministic.
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*/
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temperature?: number;
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/**
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* Only sample from the top K options for each subsequent token.
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*
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* Used to remove "long tail" low probability responses.
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* [Learn more technical details here](https://towardsdatascience.com/how-to-sample-from-language-models-682bceb97277).
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*
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* Recommended for advanced use cases only. You usually only need to use
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* `temperature`.
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*/
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top_k?: number;
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/**
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* Use nucleus sampling.
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*
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* In nucleus sampling, we compute the cumulative distribution over all the options
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* for each subsequent token in decreasing probability order and cut it off once it
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* reaches a particular probability specified by `top_p`. You should either alter
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* `temperature` or `top_p`, but not both.
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*
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* Recommended for advanced use cases only. You usually only need to use
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* `temperature`.
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*/
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top_p?: number;
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}
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export declare namespace CompletionCreateParams {
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/**
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* @deprecated use `Anthropic.Messages.Metadata` instead
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*/
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type Metadata = MessagesAPI.Metadata;
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type CompletionCreateParamsNonStreaming = CompletionsAPI.CompletionCreateParamsNonStreaming;
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type CompletionCreateParamsStreaming = CompletionsAPI.CompletionCreateParamsStreaming;
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}
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export interface CompletionCreateParamsNonStreaming extends CompletionCreateParamsBase {
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/**
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* Whether to incrementally stream the response using server-sent events.
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*
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* See [streaming](https://docs.anthropic.com/en/api/streaming) for details.
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*/
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stream?: false;
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}
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export interface CompletionCreateParamsStreaming extends CompletionCreateParamsBase {
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/**
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* Whether to incrementally stream the response using server-sent events.
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*
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* See [streaming](https://docs.anthropic.com/en/api/streaming) for details.
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*/
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stream: true;
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}
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export declare namespace Completions {
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export { type Completion as Completion, type CompletionCreateParams as CompletionCreateParams, type CompletionCreateParamsNonStreaming as CompletionCreateParamsNonStreaming, type CompletionCreateParamsStreaming as CompletionCreateParamsStreaming, };
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}
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//# sourceMappingURL=completions.d.ts.map
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