node_modules/@huggingface/inference/src/tasks/nlp/textGenerationStream.ts

import type { TextGenerationInput } from "@huggingface/tasks";
import { resolveProvider } from "../../lib/getInferenceProviderMapping.js";
import { getProviderHelper } from "../../lib/getProviderHelper.js";
import type { BaseArgs, Options } from "../../types.js";
import { innerStreamingRequest } from "../../utils/request.js";

export interface TextGenerationStreamToken {
	/** Token ID from the model tokenizer */
	id: number;
	/** Token text */
	text: string;
	/** Logprob */
	logprob: number;
	/**
	 * Is the token a special token
	 * Can be used to ignore tokens when concatenating
	 */
	special: boolean;
}

export interface TextGenerationStreamPrefillToken {
	/** Token ID from the model tokenizer */
	id: number;
	/** Token text */
	text: string;
	/**
	 * Logprob
	 * Optional since the logprob of the first token cannot be computed
	 */
	logprob?: number;
}

export interface TextGenerationStreamBestOfSequence {
	/** Generated text */
	generated_text: string;
	/** Generation finish reason */
	finish_reason: TextGenerationStreamFinishReason;
	/** Number of generated tokens */
	generated_tokens: number;
	/** Sampling seed if sampling was activated */
	seed?: number;
	/** Prompt tokens */
	prefill: TextGenerationStreamPrefillToken[];
	/** Generated tokens */
	tokens: TextGenerationStreamToken[];
}

export type TextGenerationStreamFinishReason =
	/** number of generated tokens == `max_new_tokens` */
	| "length"
	/** the model generated its end of sequence token */
	| "eos_token"
	/** the model generated a text included in `stop_sequences` */
	| "stop_sequence";

export interface TextGenerationStreamDetails {
	/** Generation finish reason */
	finish_reason: TextGenerationStreamFinishReason;
	/** Number of generated tokens */
	generated_tokens: number;
	/** Sampling seed if sampling was activated */
	seed?: number;
	/** Prompt tokens */
	prefill: TextGenerationStreamPrefillToken[];
	/** */
	tokens: TextGenerationStreamToken[];
	/** Additional sequences when using the `best_of` parameter */
	best_of_sequences?: TextGenerationStreamBestOfSequence[];
}

export interface TextGenerationStreamOutput {
	index?: number;
	/** Generated token, one at a time */
	token: TextGenerationStreamToken;
	/**
	 * Complete generated text
	 * Only available when the generation is finished
	 */
	generated_text: string | null;
	/**
	 * Generation details
	 * Only available when the generation is finished
	 */
	details: TextGenerationStreamDetails | null;
}

/**
 * Use to continue text from a prompt. Same as `textGeneration` but returns generator that can be read one token at a time
 */
export async function* textGenerationStream(
	args: BaseArgs & TextGenerationInput,
	options?: Options
): AsyncGenerator<TextGenerationStreamOutput> {
	const provider = await resolveProvider(args.provider, args.model, args.endpointUrl);
	const providerHelper = getProviderHelper(provider, "text-generation");
	yield* innerStreamingRequest<TextGenerationStreamOutput>(args, providerHelper, {
		...options,
		task: "text-generation",
	});
}