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Quick Start

Agenta enables you to capture all inputs, outputs, and metadata from your LLM applications, whether they're hosted within Agenta or running in your own environment.

This guide will walk you through setting up observability for an OpenAI application running locally.

note

If you create an application through the Agenta UI, tracing is enabled by default. No additional setup is required—simply go to the observability view to see all your requests.

Step-by-Step Guide

1. Install Required Packages

First, install the Agenta SDK, OpenAI, and the OpenTelemetry instrumentor for OpenAI:

pip install -U agenta openai opentelemetry-instrumentation-openai

2. Configure Environment Variables

If you're using Agenta Cloud or Enterprise Edition, you'll need an API key:

  1. Visit the Agenta API Keys page.
  2. Click on Create New API Key and follow the prompts.
import os

os.environ["AGENTA_API_KEY"] = "YOUR_AGENTA_API_KEY"
os.environ["AGENTA_HOST"] = "https://cloud.agenta.ai"

3. Instrument Your Application

Below is a sample script to instrument an OpenAI application:

import agenta as ag
from opentelemetry.instrumentation.openai import OpenAIInstrumentor
import openai

ag.init()

OpenAIInstrumentor().instrument()

response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Write a short story about AI Engineering."},
],
)

print(response.choices[0].message.content)

Explanation:

  • Import Libraries: Import Agenta, OpenAI, and the OpenTelemetry instrumentor.
  • Initialize Agenta: Call ag.init() to initialize the Agenta SDK.
  • Instrument OpenAI: Use OpenAIInstrumentor().instrument() to enable tracing for OpenAI calls.

4. View Traces in the Agenta UI

After running your application, you can view the captured traces in Agenta:

  1. Log in to your Agenta dashboard.
  2. Navigate to the Observability section.
  3. You'll see a list of traces corresponding to your application's requests.