To install:

npm i github:decryptable/libai

Models

Model ID	Model Name	Version	Description	Support Vision	Support Thinking	Support Search
openai/gpt-4o-mini	ChatGPT 4o-mini	4o-mini	GPT-4o mini is OpenAI's newest model after GPT-4 Omni, supporting both text and image inputs with text outputs.	Yes	No	Yes
deepseek/deepseek-chat	DeepSeek V3	V3	DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities.	No	No	Yes
qwen/qwq-32b	Qwen QwQ-32B	QwQ-32B		No	Yes	Yes
deepseek/deepseek-r1	DeepSeek R1	R1		No	Yes	Yes
openai/gpt-4o	ChatGPT 4o	4o	GPT-4o is OpenAI's latest AI model, supporting both text and image inputs with text outputs.	Yes	No	Yes
anthropic/claude-3.5-sonnet	Claude 3.5 Sonnet	3.5	New Claude 3.5 Sonnet delivers better-than-Opus capabilities, faster-than-Sonnet speeds, at the same Sonnet prices.	Yes	No	Yes
anthropic/claude-3.7-sonnet	Claude 3.7 Sonnet	3.7	New Claude 3.7 Sonnet delivers better-than-Opus capabilities, faster-than-Sonnet speeds, at the same Sonnet prices.	Yes	No	Yes
grok/grok-3	Grok V3	V3		No	No	Yes
mistralai/mistral-large	Mistral large	large		Yes	No	Yes
google/gemini-2.0	Gemini 2.0	2.0	Gemini Flash 2.0 offers a significantly faster time to first token (TTFT) compared to Gemini Flash 1.5.	Yes	No	Yes

Usage

import libai from "libai";
import generateAuthToken from "./dist/utils/generateAuthToken";

const main = async () => {
  const authToken = await generateAuthToken();

  if (!authToken) return;

  console.log(`Auth token: ${authToken}`)

  const models = await libai.getModels();
  const selectedModel = models[0];

  console.log("Selected model:", selectedModel)

  const message = "Hey there! How are you?";

  const webSearch = true;

  let finalResponse = "";

  await libai.getChatResponse(
    message,
    authToken,
    selectedModel.id,
    webSearch,
    null,
    (streamData) => {
      if (streamData.content) {
        process.stdout.write(streamData.content);

        finalResponse += streamData.content;
      }
    }
  );

  console.log(`\nFinal Response: ${finalResponse}`);
};

main()