llm-polyglot/dist/index.d.ts

A universal LLM client - provides adapters for various LLM providers to adhere to a universal interface - the openai sdk - allows you to use providers like anthropic using the same openai interface and transforms the responses in the same way - this allow

import Anthropic from '@anthropic-ai/sdk';
import { GoogleGenerativeAI, CachedContent, EnhancedGenerateContentResponse, SafetySetting, GenerationConfig, Content, FunctionDeclaration, GroundingMetadata, FunctionCall } from '@google/generative-ai';
import OpenAI, { ClientOptions } from 'openai';

type Providers = "openai" | "anthropic" | "google";
type SupportedChatCompletionMessageParam = Omit<OpenAI.ChatCompletionCreateParams["messages"][number], "content"> & {
    content: string | (Anthropic.Messages.TextBlockParam | Anthropic.Messages.ImageBlockParam | Anthropic.Messages.ToolUseBlockParam | Anthropic.Messages.ToolResultBlockParam)[];
};
type ExtendedCompletionAnthropic = Partial<OpenAI.ChatCompletion> & {
    originResponse: Anthropic.Messages.Message | Anthropic.Messages.ToolResultBlockParam;
};
type ExtendedCompletionChunkAnthropic = Partial<OpenAI.ChatCompletionChunk> & {
    originResponse: Anthropic.Messages.Message | Anthropic.Messages.ToolResultBlockParam;
};
type AnthropicChatCompletionParamsStream = Omit<Partial<OpenAI.ChatCompletionCreateParams>, "model" | "messages"> & {
    model: Anthropic.CompletionCreateParams["model"];
    messages: SupportedChatCompletionMessageParam[];
    stream: true;
    max_tokens: number;
};
type AnthropicChatCompletionParamsNonStream = Omit<Partial<OpenAI.ChatCompletionCreateParams>, "model" | "messages"> & {
    model: Anthropic.CompletionCreateParams["model"];
    messages: SupportedChatCompletionMessageParam[];
    stream?: false | undefined;
    max_tokens: number;
};
type AnthropicChatCompletionParams = AnthropicChatCompletionParamsStream | AnthropicChatCompletionParamsNonStream;
/** Google types */
type GoogleChatCompletionParamsBase = Omit<Partial<OpenAI.ChatCompletionCreateParams>, "messages" | "model"> & {
    messages: SupportedChatCompletionMessageParam[];
    max_tokens: number;
    additionalProperties?: {
        cacheName?: string;
        sessionId?: string;
        safetySettings?: SafetySetting[];
        modelGenerationConfig?: GenerationConfig;
    };
    groundingThreshold?: number;
    systemInstruction?: Content | string | undefined;
    tools?: Array<{
        type: "function";
        function: Omit<FunctionDeclaration, "parameters"> & {
            parameters?: Record<string, unknown>;
        };
    }>;
    tool_choice?: {
        type: "function";
        function: {
            name: string;
        };
    };
};
type GoogleChatCompletionParamsStream = GoogleChatCompletionParamsBase & {
    stream: true;
    model: GeminiGenerativeModels | string;
};
type GoogleChatCompletionParamsNonStream = GoogleChatCompletionParamsBase & {
    stream?: false | undefined;
    model: GeminiGenerativeModels;
};
type GoogleChatCompletionParams = GoogleChatCompletionParamsStream | GoogleChatCompletionParamsNonStream;
interface GoogleGroundingMetadata extends GroundingMetadata {
    search_queries: string[];
    sources: Array<{
        url: string;
        title: string;
    }>;
    search_suggestion_html?: string;
    supports?: Array<{
        text: string;
        sources: Array<{
            url: string;
            title: string;
        }>;
        confidence: number[];
    }>;
}
interface GoogleToolCall {
    index: number;
    id: string;
    function: FunctionCall;
    type: string;
}
interface GoogleMessage {
    role: string;
    content: string;
    tool_calls?: GoogleToolCall[];
}
interface GoogleChoice {
    index: number;
    message: GoogleMessage;
    finish_reason: string | null;
    logprobs?: null;
    grounding_metadata?: GoogleGroundingMetadata;
}
interface GoogleDeltaChoice extends Omit<GoogleChoice, "message"> {
    delta: GoogleMessage;
}
type ExtendedCompletionGoogle = Partial<OpenAI.ChatCompletion> & {
    originResponse: EnhancedGenerateContentResponse;
    choices: GoogleChoice[];
};
type ExtendedCompletionChunkGoogle = Partial<OpenAI.ChatCompletionChunk> & {
    originResponse: EnhancedGenerateContentResponse;
    choices: GoogleDeltaChoice[];
};
type GoogleCacheCreateParams = Omit<GoogleChatCompletionParams, "stream"> & {
    ttlSeconds: number;
};
type GeminiGenerativeModels = "gemini-1.5-pro" | "gemini-1.5-pro-latest" | "gemini-1.5-flash-8b" | "gemini-1.5-flash-8b-latest" | "gemini-1.5-flash" | "gemini-1.5-flash-latest" | (string & {});
/** General type for providers */
type OpenAILikeClient<P> = P extends "openai" | "azure" ? OpenAI : P extends "google" ? GoogleGenerativeAI & {
    chat: {
        completions: {
            create: <P extends GoogleChatCompletionParams>(params: P) => P extends {
                stream: true;
            } ? Promise<AsyncIterable<ExtendedCompletionChunkGoogle>> : Promise<ExtendedCompletionGoogle>;
        };
    };
    cacheManager: {
        create: (params: GoogleCacheCreateParams) => Promise<CachedContent>;
        get: (cacheName: string) => Promise<CachedContent>;
        list: () => Promise<{
            cachedContents: CachedContent[];
        }>;
        delete: (cacheName: string) => Promise<void>;
        update: (cacheName: string, params: GoogleCacheCreateParams) => Promise<CachedContent>;
    };
} : P extends "anthropic" ? Anthropic & {
    [key: string]: unknown;
    chat: {
        completions: {
            create: <P extends AnthropicChatCompletionParams>(params: P) => P extends {
                stream: true;
            } ? Promise<AsyncIterable<ExtendedCompletionChunkAnthropic>> : Promise<ExtendedCompletionAnthropic>;
        };
    };
} : never;

declare class LLMClient<P extends Providers> {
    private providerInstance;
    constructor(opts: ClientOptions & {
        provider: P;
    });
    getProviderInstance(): OpenAILikeClient<P>;
}
declare function createLLMClient<P extends Providers>(opts?: ClientOptions & {
    provider: P;
    logLevel?: string;
}): OpenAILikeClient<P>;

export { LLMClient, createLLMClient };