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pip install aiobserve
# or
npm install @aiobserve/sdk

from aiobserve import observe

@observe
def my_ai_function(prompt):
    return openai.chat.complete(prompt)

Features - Every Tool You Need to Run AI in Production

From your first trace to enterprise-scale deployment, get complete visibility into your AI systems.

Get Started in 5 Minutes

From signup to your first trace in less time than it takes to make coffee.

Quickstart Guide

Step 1: Create Your Account

Visit the signup link and create your free account. No credit card required.

Step 2: Install the SDK

Python:

pip install aiobserve

JavaScript/TypeScript:

npm install @aiobserve/sdk
# or
yarn add @aiobserve/sdk

Step 3: Initialize

Python:

import aiobserve

aiobserve.init(
    api_key="your-api-key",  # Find this in Settings > API Keys
    project_name="my-project"
)

JavaScript:

import { init } from '@aiobserve/sdk';

init({
    apiKey: 'your-api-key',
    projectName: 'my-project'
});

Step 4: Trace Your First Call

from aiobserve import observe
import openai

@observe(name="chat_completion")
def get_response(user_message):
    response = openai.chat.completions.create(
        model="gpt-4",
        messages=[{"role": "user", "content": user_message}]
    )
    return response.choices[0].message.content

# Traces are automatically captured!
result = get_response("What is the capital of France?")

Step 5: View Your Traces

Open your dashboard. You should see your first trace within seconds.

Framework Integrations

LangChain Integration:

from aiobserve.integrations.langchain import AIObserveCallbackHandler

handler = AIObserveCallbackHandler()

chain = LLMChain(llm=llm, prompt=prompt)
result = chain.run(input, callbacks=[handler])

Vercel AI SDK Integration:

import { AIObserveProvider } from '@aiobserve/vercel';

export default AIObserveProvider(async (req) => {
    // Your AI route handler
});

Making AI Systems Trustworthy

We believe AI should be as observable as any other software system.

Today, 84% of ML teams struggle to detect and diagnose model problems. Debugging takes hours instead of minutes. Costs explode without warning. Users encounter hallucinations before engineers know there's an issue.

We're building the observability platform that AI engineering deserves. Purpose-built for LLMs and AI agents. Developer-first in design. Enterprise-ready in scale.

Because if you can't see what your AI is doing, you can't trust it. And if you can't trust it, you can't ship it.

Our Values

Competitive Advantages

vs. Helicone

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