TypeTypeScript Client Reference | Galileo Observescript

GALILEO_CONSOLE_URL="https://console.galileo.yourcompany.com"
GALILEO_API_KEY="Your API Key"

# Alternatively, you can also use username/password.
GALILEO_USERNAME="Your Username"
GALILEO_PASSWORD="Your Password"

import { GalileoObserveWorkflow } from "@rungalileo/galileo";

// Initialize and create project
const observeWorkflow = new GalileoObserveWorkflow("Observe Workflow Example");
await observeWorkflow.init();

// Evaluation dataset
const observeSet = [
  "What are hallucinations?",
  "What are intrinsic hallucinations?",
  "What are extrinsic hallucinations?"
]

// Add workflows
const myLlmApp = (input) => {
  const template = "Given the following context answer the question. \n Context: {context} \n Question: {question}"

  // Add workflow
  observeWorkflow.addWorkflow({ input });

  // Get context from Retriever
  // Pseudo-code, replace with your Retriever call
  const retrieverCall = () => 'You're an AI assistant helping a user with hallucinations.';
  const context = retrieverCall()

  // Log Retriever Step
  observeWorkflow.addRetrieverStep({
    input: template,
    output: context
  })

  // Get response from your LLM
  // Pseudo-code, replace with your LLM call
  const prompt = template.replace('{context}', context).replace('{question}', input)
  const llmCall = (_prompt) => 'An LLM response…';
  const llmResponse = llmCall(prompt);

  // Log LLM step
  observeWorkflow.addLlmStep({
    durationNs: parseInt((Math.random() * 3) * 1000000000),
    input: prompt,
    output: llmResponse,
  })

  // Conclude workflow
  observeWorkflow.concludeWorkflow(llmResponse);
}

observeSet.forEach((input) => myLlmApp(input));

// Upload workflows to Galileo
await observeWorkflow.uploadWorkflows();