How can i connect to the LMStudio?

[dosubot[bot]]

🤖

Hey @cczw2010! Nice to see you back here. Hope you're doing well!

To connect to the LMStudio, you need to create an instance of the Client from the "langsmith" package. Here is a basic example:

import { Client } from "langsmith";

const client = new Client();

This client object can then be used to interact with the LMStudio. For example, it can be used to create a dataset and examples:

const datasetName = `lcjs-qa-${uniqueId}`;
const dataset = await client.createDataset(datasetName);

await Promise.all(
  inputs.map(async (input, i) => {
    await client.createExample(input, referenceOutputs[i], {
      datasetId: dataset.id,
    });
  })
);

Please note that you might need to provide additional configuration to the Client constructor depending on your setup, such as API keys or server URLs. You can find more details in the examples/src/guides/langsmith/eval_walkthrough.ts file.

The Client class connects to the LMStudio by creating an instance of the GoogleLLMConnection class in the buildConnection method. This method is called in the constructor of the GoogleBaseLLM class. You can find more details in the libs/langchain-google-common/src/llms.ts file.

The necessary parameters to initialize an instance of the Client class are model, streaming, cloudflareAccountId, cloudflareApiToken, and baseUrl. These parameters are passed as an object to the constructor of the ChatCloudflareWorkersAI class. If not provided, the constructor will use the default values or fetch them from the environment variables. You can find more details in the libs/langchain-community/src/chat_models/cloudflare_workersai.ts file.

I hope this helps! If you have any other questions, feel free to ask.

Sources

• examples/src/guides/langsmith/eval_walkthrough.ts
• libs/langchain-google-common/src/llms.ts
• libs/langchain-community/src/chat_models/cloudflare_workersai.ts

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[cczw2010]

thank you !