@promptbook/vercel/esm/typings/src/llm-providers/azure-openai/AzureOpenAiExecutionTools.d.ts

Promptbook: Turn your company's scattered knowledge into AI ready books

import { OpenAIClient } from '@azure/openai';
import type { ChatParticipant } from '../../book-components/Chat/types/ChatParticipant';
import type { AvailableModel } from '../../execution/AvailableModel';
import type { LlmExecutionTools } from '../../execution/LlmExecutionTools';
import type { ChatPromptResult, CompletionPromptResult } from '../../execution/PromptResult';
import type { Prompt } from '../../types/Prompt';
import type { string_markdown, string_markdown_text, string_title } from '../../types/typeAliases';
import type { AzureOpenAiExecutionToolsOptions } from './AzureOpenAiExecutionToolsOptions';
/**
 * Execution Tools for calling Azure OpenAI API.
 *
 * @public exported from `@promptbook/azure-openai`
 */
export declare class AzureOpenAiExecutionTools implements LlmExecutionTools {
    protected readonly options: AzureOpenAiExecutionToolsOptions;
    /**
     * OpenAI Azure API client.
     */
    private client;
    /**
     * Rate limiter instance
     */
    private limiter;
    /**
     * Creates OpenAI Execution Tools.
     *
     * @param options which are relevant are directly passed to the OpenAI client
     */
    constructor(options: AzureOpenAiExecutionToolsOptions);
    get title(): string_title & string_markdown_text;
    get description(): string_markdown;
    get profile(): ChatParticipant;
    getClient(): Promise<OpenAIClient>;
    /**
     * Check the `options` passed to `constructor`
     */
    checkConfiguration(): Promise<void>;
    /**
     * List all available Azure OpenAI models that can be used
     */
    listModels(): Promise<ReadonlyArray<AvailableModel>>;
    /**
     * Calls OpenAI API to use a chat model.
     */
    callChatModel(prompt: Pick<Prompt, 'content' | 'parameters' | 'modelRequirements'>): Promise<ChatPromptResult>;
    /**
     * Calls Azure OpenAI API to use a complete model.
     */
    callCompletionModel(prompt: Pick<Prompt, 'content' | 'parameters' | 'modelRequirements'>): Promise<CompletionPromptResult>;
    /**
     * Library `@azure/openai` has bug/weird behavior that it does not throw error but hangs forever
     *
     * This method wraps the promise with timeout
     */
    private withTimeout;
    /**
     * Changes Azure error (which is not proper Error but object) to proper Error
     */
    private transformAzureError;
}
/**
 * TODO: Maybe Create some common util for callChatModel and callCompletionModel
 * TODO: Maybe make custom AzureOpenAiError
 * TODO: [🧠][🈁] Maybe use `isDeterministic` from options
 * TODO: [🧠][🌰] Allow to pass `title` for tracking purposes
 */