@rungalileo/observe v0.0.7

Observe-js

NodeJS client for Galileo Observe.

Testing

In the root directory, run:

• npm i
• npm link

In the examples directory, run:

• npm i
• npm link @rungalileo/observe
• node openai.js

Making changes

When updating the code, only modify the *.ts files and then run:

• npm run format
• npm run lint-fix (this doesn't currently pass)
• npm run build

Logging data to Galileo Observe

import { GalileoObserveCallback } from "@rungalileo/observe";
const observe_callback = new GalileoObserveCallback("llm_monitor_example", "app_v1")// project and version
await observe_callback.init();

Add the callback {callbacks: [observe_callback]} in the Langchain invoke step of your application.

Retrieving data from Galileo Observe

import { ApiClient } from "@rungalileo/observe";
const apiClient = new ApiClient();
await apiClient.init("llm_monitor_test_1");// project

You can use this with getLoggedData to retrieve the raw data.

const rows = await apiClient.getLoggedData(
    "2024-03-11T16:15:28.294Z",// ISO start_time string with timezone
    "2024-03-12T16:15:28.294Z",// ISO end_time string with timezone
    filters,// an array of information like "col_name":"model"
    sort_spec,// an array of information like "sort_dir":"asc"
    limit// a number of items to return
);
console.log(rows);

You can use getMetrics to get corresponding metrics.

const metrics = await apiClient.getMetrics(
    "2024-03-11T16:15:28.294Z",
    "2024-03-12T16:15:28.294Z",
    filters
);
console.log(metrics);