Claude Example

The code below is a simple example of a process sending a prompt to Claude via Anthropic's Messages API and reading back the response. This authenticates with an API key rather than MODLR's built-in OAuth 2.0 flow, so this is an Advanced Integration.

INFO

This process requires an Anthropic API key, stored as a Secret rather than hardcoded in the process.

Process Code

function pre() {
    // This function is called once before the process is executed.
    // Use this to setup prompts.
    script.log('process pre-execution parameters parsed.');
}

function begin() {
    // This function is called once at the start of the process
    script.log('process execution started.');

    const apiKey = security.getSecret("ANTHROPIC_API_KEY");

    const response = web.post("https://api.anthropic.com/v1/messages", {
        "Content-Type": "application/json",
        "x-api-key": apiKey,
        "anthropic-version": "2023-06-01"
    }, {
        model: "claude-sonnet-5",
        max_tokens: 500,
        system: "You are a financial analyst assistant.",
        messages: [
            { role: "user", content: "Summarise this month's revenue in plain English: $1.2M, up 8% on last month." }
        ]
    });

    if (response.status >= 200 && response.status < 300) {
        const body = JSON.parse(response.body);
        const message = body.content[0].text;
        console.log(message);
    } else if (response.error) {
        // An error occurred while sending the request (e.g., network error, timeout, etc.).
        console.log("Error occurred while sending the request: " + response.error);
    } else {
        // The request failed with a non-success status code.
        console.log("Request failed with status code: " + response.status);
        console.log(response.body);
    }
}

function data(record) {
    // This function is called once for each line of data on the second cycle
    // Use this to build dimensions and push data into cubes
}

function end() {
    // This function is called once at the end of the process
    script.log('process execution finished.');
}