Laravel AI SDK vs Prism PHP: Which One to Use in Each Case

Type "laravel ai sdk vs prism" into Google and you'll find two confident, contradictory claims. Half the posts say the official SDK killed Prism. The other half swear the SDK uses Prism under the hood — some even quote the line prism-php/prism: ^0.99.0 from the composer.json.

The second one is false. You can check it in ten seconds.

The composer.json for laravel/ai doesn't have prism-php/prism anywhere. Not in require, not in require-dev, not in suggest. They're two independent packages, written by different people, that overlap across a good chunk of their scope and diverge exactly where your architecture decision gets made.

In this post: what each one actually does, the code side by side, the table of what only exists in one of them, a maintenance data point almost nobody looks at before choosing, and a decision guide by concrete case — not by "it depends".

TL;DR

• What it is: two AI packages for Laravel with different scopes. Prism is an LLM integration layer; the Laravel AI SDK is an AI platform inside the framework.
• Stack: Prism runs on PHP 8.2+ and Laravel 11, 12 or 13. The AI SDK requires PHP 8.3+ and Laravel 12 or 13.
• Cost/Access: both are MIT and free. You pay for the provider's tokens.
• Useful links: Prism documentation and Laravel AI SDK documentation.

Prism PHP and Laravel AI SDK: why the comparison is badly framed

Prism was born in February 2024, built by TJ Miller. It solves one specific problem and solves it well: giving you a single fluent interface for talking to multiple LLM providers without rewriting code when you switch models. It's a routing layer. Laravel itself described it that way when it featured TJ in the community: "a Laravel-native routing layer for AI models".

The Laravel AI SDK was announced on February 5, 2026, alongside Boost and Laravel MCP. The scope is different. It also does provider routing, but it bundles in agents as PHP classes, conversation persistence in a table, vector stores, reranking, image generation, audio transcription, filesystem tools, and test fakes for all of it.

One is a cable. The other is an outlet with a breaker panel behind it. Calling them competitors hides the only question that matters: how much of that do you need?

And here's the warning nobody gives you: picking the package is the easy part. Swapping packages is an afternoon's refactor — what you can't swap later is the architectural judgment around it, which is where AI projects actually break. That judgment is what we build live every week in the Clã Beer and Code, with a system running and the decision being argued out on the spot. If collecting tutorials is your thing, it'll frustrate you: the bar is what you actually ship.

The same "hello world" in both

Nothing explains scope better than code. Plain text generation, first in Prism:

use Prism\Prism\Facades\Prism;
use Prism\Prism\Enums\Provider;

$response = Prism::text()
    ->using(Provider::Anthropic, 'claude-3-7-sonnet-latest')
    ->withSystemPrompt(view('prompts.system'))
    ->withPrompt('Explique idempotência em uma API REST.')
    ->asText();

echo $response->text;

Notice the view('prompts.system'). Prompt as a Blade view is an idiom Prism invented, and it's still one of the cleanest ways to version a prompt with variables in it. You get @if, @foreach and reusable partials for free.

Now the same thing in the AI SDK:

use function Laravel\Ai\agent;
use Laravel\Ai\Enums\Lab;

$response = agent(
    instructions: 'Você é um assistente técnico. Responda direto.',
)->prompt('Explique idempotência em uma API REST.', provider: Lab::Anthropic);

echo (string) $response;

It's a tie. At this level of usage — send text, get text back — the difference between the two is cosmetic. Anyone telling you one is "way better" for this is selling something.

The divergence starts when the feature grows. In the AI SDK, an agent is a class:

<?php

namespace App\Ai\Agents;

use Illuminate\Contracts\JsonSchema\JsonSchema;
use Laravel\Ai\Attributes\Provider;
use Laravel\Ai\Concerns\RemembersConversations;
use Laravel\Ai\Contracts\Agent;
use Laravel\Ai\Contracts\HasStructuredOutput;
use Laravel\Ai\Enums\Lab;
use Laravel\Ai\Promptable;
use Stringable;

#[Provider(Lab::OpenAI, Lab::Anthropic)]
class AnalistaDeChamado implements Agent, HasStructuredOutput
{
    use Promptable, RemembersConversations;

    public function instructions(): Stringable|string
    {
        return 'Analise o chamado de suporte e devolva a classificação.';
    }

    public function schema(JsonSchema $schema): array
    {
        return [
            'categoria' => $schema->string()->enum(['bug', 'duvida', 'billing'])->required(),
            'urgencia'  => $schema->integer()->min(1)->max(5)->required(),
        ];
    }
}

That #[Provider(Lab::OpenAI, Lab::Anthropic)] is declarative failover: OpenAI goes down or hits a rate limit, it tries Anthropic. RemembersConversations persists the history in the tables the package's migration creates. Two lines for two problems that, in Prism, you solve by writing code.

It's not magic — it's scope. Prism made a deliberate decision not to go into that layer.

Where the scopes actually diverge

This is the table that settles the argument. Only what's asymmetric:

The last four rows on the SDK side are recent: they shipped at Laracon US 2026, on July 29. That's the best evidence this isn't a comparison between equals — the SDK is expanding its scope into places Prism never promised to go.

On the other side, Prism Server is the most underrated feature in that table. It exposes your configured models through an API compatible with OpenAI's, which means any chat UI or SDK that speaks the OpenAI protocol talks to your Laravel app with no adapter. If your case is "I want to plug an off-the-shelf frontend into my AI layer", that alone makes the call.

The maintenance data point almost nobody looks at

Before you marry a package, look at its release cadence. The public numbers, as of August 2026:

Read this honestly, because it can be spun either way.

Prism has gone about five months without a release and the repository hasn't seen a push since March 20. That doesn't mean "abandoned" — it means the package is stable and the author went off to do other things. Working code doesn't disappear. But with 117 open issues and a field that changes every six weeks, it's a risk you need to price in: a new model from the provider, an API contract change, a security fix. Who picks that up?

laravel/ai is at v0.10.3, released on August 6, with a release pretty much every month. Cadence is a great sign of life and a terrible sign of stability. Look at the number: neither one has hit 1.0. Major zero means semver protects you from nothing. Pin the exact version in your composer.json and read the CHANGELOG before bumping a minor in production. That goes for both.

Laravel AI SDK vs Prism: which one to use in each case

No "it depends". Find your case in the list.

You're on Laravel 11 or PHP 8.2. Prism. It's not a preference, it's a constraint: laravel/ai requires php: ^8.3 and illuminate/* at ^12.0|^13.0. Either you upgrade the runtime first, or the decision has already been made for you.

New project, simple text feature (summarize, classify, extract, generate copy). AI SDK. Not because Prism can't handle it — it can — but because on a new project you're going to want the rest of the official ecosystem later, and starting inside it saves you a migration six months from now.

Agent with conversation memory across requests. AI SDK, no debate. RemembersConversations plus the included migrations solve in two lines what would otherwise be a hand-written schema, repository and history truncation policy.

RAG with vector search and reranking. AI SDK. whereVectorSimilarTo in Eloquent and first-party rerank with Cohere, Jina or VoyageAI save you the layer everyone gets wrong the first time.

You need to expose your AI layer as an OpenAI-compatible API. Prism, via Prism Server. The SDK can consume any OpenAI-compatible provider, but it doesn't go the other direction.

Perplexity is mandatory in your stack. Prism. It's the only one of the two with first-party support.

Your prompts are long, full of variables, and change every week. Prism, for prompts as Blade views. You can reproduce this in the SDK by passing a Stringable that renders a view, but in Prism it's the official, documented path.

Your tool writes to the database, deletes files or sends email. AI SDK, for the human-in-the-loop API. Being able to intercept the tool call and require human approval before it executes isn't a nicety: on an agent with write permissions, it's risk control.

You already run Prism in production and it's working. Stay put. Migrating when nothing hurts isn't a reason, it's an expensive hobby. Migrate when you hit one of the lines above — that's when the math works. If that's you, we've already opened up the diff of a real Prism-to-SDK migration on an actual project.

If you do migrate, three things break

People who've made the trip documented the stumbles, and all three are worth the read:

1. #[Temperature] takes down newer models. Models like gpt-5-mini and gpt-5-nano don't accept the temperature parameter and return HTTP 400. If you carried the temperature over from Prism out of reflex, remove the attribute.
2. withoutAdditionalProperties() doesn't propagate down on its own. OpenAI's strict mode requires the flag on nested objects in the schema, and the SDK only applies it automatically at the root. A schema with an object inside an object fails silently until you walk down and set it by hand.
3. catch (Exception $e) doesn't catch everything. Use catch (Throwable $e). It's Laravel's own convention and it's what catches the deeper PHP errors that show up in LLM calls.

On top of that, there's the conceptual shift: you move from one generic service that every AI feature called to one agent class per task. Don't try to translate the service line by line. It's an architecture rewrite, not find-and-replace.

Limitations and things to watch

Both are 0.x. I said it above and I'll say it again because it's the item that hurts the most: at major zero, a minor can break your build. Exact pin, CHANGELOG read, and a test suite using each package's fakes.

Neither one is AI engineering. Both give you an HTTP client, retries, schemas and mocks. Neither decides what context the model gets, how you measure whether the answer is any good, how much it costs per request, or what to do when the provider goes down. Switching packages doesn't fix a bad AI system — it just changes the syntax of the error.

Cost is invisible until the invoice arrives. In both cases, log the response's usage from day one. A multi-step agent can make ten model calls inside a single prompt(), and that bill shows up nowhere if you don't record it.

Prompt injection is your problem, not the package's. Neither one sanitizes input. If the tool has write permissions, treat it like a public endpoint: validate arguments, scope by authenticated user, and consider human approval before executing.

Don't dump customer data into the prompt without thinking. An LLM provider is a third party. Mask PII, or use a local model via Ollama — supported by both.

Quick FAQ

Does the Laravel AI SDK use Prism under the hood? No. The composer.json for laravel/ai requires php ^8.3, aws/aws-sdk-php, the illuminate/* components, laravel/prompts and laravel/serializable-closure. prism-php/prism doesn't appear. The confusion probably comes from content generated without checking the source — and it turned into a repeated fact.

Can I use both in the same project? Yes. They're separate namespaces and don't conflict. But pick one per feature: two LLM call paths in the same repository is exactly the mess these packages exist to end.

Is Prism dead? No. It's stable and hasn't had a release since March 2026, which is a different thing. It still has almost 6 million installs and runs in production in a lot of places. What you need to evaluate is the response time to a provider API change, not whether the code works today.

Which one has more providers? Depends on the capability. For text, they're effectively tied. For embeddings and reranking, the AI SDK has more (Cohere, Jina, VoyageAI). For the rest, Prism has Perplexity and the SDK doesn't. Count by capability, not by logos on the website.

Do I need Laravel 13 for the AI SDK? No. Laravel 12 works — the illuminate/* packages are pinned at ^12.0|^13.0. The hard requirement is PHP 8.3. If you want the full picture of the package before choosing, there's the hands-on guide to the Laravel AI SDK, from composer require to your first agent running.

What to do with this

The right comparison isn't "which one is better". It's "which scope do I need". Prism delivers a lean integration layer, with two features the official one doesn't have — Prism Server and Blade prompts — and the advantage of running on an older stack. The AI SDK delivers a platform: agents, memory, vector store, rerank, human approval, and the cadence of something with a paid team behind it.

If you're starting today on Laravel 12 or 13, the official SDK is the default choice. If you have a runtime constraint, need Prism Server, or already have Prism working in production — stay where you are, with the version pinned.

And once the choice is made, the real work starts: deciding what goes into the context, how to measure the response, and what happens at three in the morning when the provider returns a 503. Neither package solves that for you. That part is still engineering.