Files
agentlens/apps/web/src/app/docs/getting-started/page.tsx

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TypeScript

import type { Metadata } from "next";
import { CodeBlock } from "@/components/code-block";
export const metadata: Metadata = {
title: "Getting Started",
description:
"Install AgentLens, initialize the SDK, and send your first trace in under five minutes.",
};
export default function GettingStartedPage() {
return (
<div>
<h1 className="text-4xl font-bold tracking-tight mb-4">
Getting Started
</h1>
<p className="text-lg text-neutral-400 mb-10 leading-relaxed">
Go from zero to full agent observability in under five minutes. This
guide walks you through installing the SDK, initializing it, and sending
your first trace.
</p>
<section className="mb-12">
<h2 className="text-2xl font-semibold mb-4">Prerequisites</h2>
<ul className="list-disc list-inside text-neutral-400 space-y-2 ml-1">
<li>Python 3.9+ or Node.js 18+</li>
<li>
An AgentLens instance (use{" "}
<a
href="https://agentlens.vectry.tech"
className="text-emerald-400 hover:underline"
>
agentlens.vectry.tech
</a>{" "}
or{" "}
<a
href="/docs/self-hosting"
className="text-emerald-400 hover:underline"
>
self-host
</a>
)
</li>
<li>An API key for authentication</li>
</ul>
</section>
<section className="mb-12">
<h2 className="text-2xl font-semibold mb-4">
Step 1: Install the SDK
</h2>
<h3 className="text-lg font-medium text-neutral-200 mb-2">Python</h3>
<CodeBlock title="terminal" language="bash">pip install vectry-agentlens</CodeBlock>
<h3 className="text-lg font-medium text-neutral-200 mb-2 mt-6">
TypeScript / Node.js
</h3>
<CodeBlock title="terminal" language="bash">npm install agentlens-sdk</CodeBlock>
</section>
<section className="mb-12">
<h2 className="text-2xl font-semibold mb-4">
Step 2: Initialize AgentLens
</h2>
<h3 className="text-lg font-medium text-neutral-200 mb-2">Python</h3>
<CodeBlock title="main.py" language="python">{`import agentlens
agentlens.init(
api_key="your-api-key",
endpoint="https://agentlens.vectry.tech"
)`}</CodeBlock>
<h3 className="text-lg font-medium text-neutral-200 mb-2 mt-6">
TypeScript
</h3>
<CodeBlock title="index.ts" language="typescript">{`import { init } from "agentlens-sdk";
init({
apiKey: "your-api-key",
endpoint: "https://agentlens.vectry.tech",
});`}</CodeBlock>
</section>
<section className="mb-12">
<h2 className="text-2xl font-semibold mb-4">
Step 3: Trace your first agent
</h2>
<h3 className="text-lg font-medium text-neutral-200 mb-2">Python</h3>
<CodeBlock title="agent.py" language="python">{`import agentlens
from agentlens import trace
agentlens.init(
api_key="your-api-key",
endpoint="https://agentlens.vectry.tech"
)
@trace(name="my-first-agent")
def my_agent(prompt: str) -> str:
# Your agent logic here
response = call_llm(prompt)
return response
# Run it — the trace is sent automatically
result = my_agent("What is the capital of France?")`}</CodeBlock>
<h3 className="text-lg font-medium text-neutral-200 mb-2 mt-6">
TypeScript
</h3>
<CodeBlock title="agent.ts" language="typescript">{`import { init, TraceBuilder } from "agentlens-sdk";
init({
apiKey: "your-api-key",
endpoint: "https://agentlens.vectry.tech",
});
const trace = new TraceBuilder("my-first-agent");
trace.addSpan({
name: "llm-call",
type: "LLM_CALL",
input: { prompt: "What is the capital of France?" },
output: { response: "Paris" },
status: "COMPLETED",
});
await trace.end();`}</CodeBlock>
</section>
<section className="mb-12">
<h2 className="text-2xl font-semibold mb-4">
Step 4: View in the dashboard
</h2>
<p className="text-neutral-400 leading-relaxed mb-4">
Open your AgentLens dashboard to see the trace you just sent. You will
see the trace name, its status, timing information, and any spans or
decision points you recorded.
</p>
<a
href="/dashboard"
className="inline-flex items-center gap-2 px-5 py-2.5 bg-emerald-500 hover:bg-emerald-400 text-neutral-950 font-semibold rounded-lg transition-colors text-sm"
>
Open Dashboard
<svg
className="w-4 h-4"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
strokeWidth={2}
>
<path
strokeLinecap="round"
strokeLinejoin="round"
d="M13 7l5 5m0 0l-5 5m5-5H6"
/>
</svg>
</a>
</section>
<section className="mb-12">
<h2 className="text-2xl font-semibold mb-4">Next steps</h2>
<div className="grid sm:grid-cols-2 gap-4">
<a
href="/docs/concepts"
className="group block p-4 rounded-xl border border-neutral-800/50 hover:border-emerald-500/30 transition-colors"
>
<h3 className="text-sm font-semibold text-neutral-200 group-hover:text-emerald-400 transition-colors">
Core Concepts
</h3>
<p className="text-xs text-neutral-500 mt-1">
Learn about Traces, Spans, Decision Points, and Events.
</p>
</a>
<a
href="/docs/python-sdk"
className="group block p-4 rounded-xl border border-neutral-800/50 hover:border-emerald-500/30 transition-colors"
>
<h3 className="text-sm font-semibold text-neutral-200 group-hover:text-emerald-400 transition-colors">
Python SDK Reference
</h3>
<p className="text-xs text-neutral-500 mt-1">
Explore the full Python SDK API surface.
</p>
</a>
<a
href="/docs/integrations/openai"
className="group block p-4 rounded-xl border border-neutral-800/50 hover:border-emerald-500/30 transition-colors"
>
<h3 className="text-sm font-semibold text-neutral-200 group-hover:text-emerald-400 transition-colors">
OpenAI Integration
</h3>
<p className="text-xs text-neutral-500 mt-1">
Auto-trace OpenAI calls with a single wrapper.
</p>
</a>
<a
href="/docs/self-hosting"
className="group block p-4 rounded-xl border border-neutral-800/50 hover:border-emerald-500/30 transition-colors"
>
<h3 className="text-sm font-semibold text-neutral-200 group-hover:text-emerald-400 transition-colors">
Self-Hosting
</h3>
<p className="text-xs text-neutral-500 mt-1">
Deploy your own AgentLens instance with Docker.
</p>
</a>
</div>
</section>
</div>
);
}