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Use Laravel’s AI SDK fakes to test prompt construction, response handling, and application decisions deterministically—but do not treat them as proof that a live model or provider integration works. A strong test suite adds checks at the HTTP, feature, queue, and database layers, then uses a small, controlled live-provider check only for risks a fake cannot cover.
The examples and links below refer to Laravel 13.x documentation. Check the documentation for the Laravel and AI SDK versions installed in your project before copying APIs.
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What should Laravel AI agent tests establish?
An agent is only one part of an application workflow. A test that replaces every agent interaction can show how your code responds to a controlled result, but it does not by itself show that your route is wired correctly, a job is dispatched, a third-party request is formed properly, or the intended record is saved.
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Use AI SDK fakes for deterministic agent behavior
The Laravel AI SDK documents agent fakes that can supply a default response, a sequence of responses, or a closure. It also provides prompt assertions. Use these tests for application decisions such as assembling context, deciding whether to call an agent, branching on a returned field, and formatting a result for the user. See the Laravel AI SDK documentation for the API matching your installed version.
Supply a controlled response
A fake lets a test exercise the code around the agent without depending on network access or a probabilistic model response. Choose the response that makes the behavior under test explicit: for example, a result that triggers an approval path versus one that requires escalation. For a multi-step interaction, provide a response sequence; use a closure when the fake should vary its response based on the incoming prompt.
Keep the test focused on an observable application outcome. A fake returning a plausible sentence does not show that a real model would produce it, or that the model’s answer is correct.
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Assert what the application sent
Use the SDK’s documented prompt assertions, including assertPrompted and assertNotPrompted, to check whether expected prompt content was received or unwanted content was excluded. Where relevant, assert that the agent was never prompted. These checks can catch missing context or accidental inclusion of information the application should not send; they do not assess the model’s interpretation of that prompt.
Test structured output as application data
For an agent with a declared structured-output schema, the SDK can generate fake data matching that schema when the fake has no explicit data configured. This is useful for checking that your code handles the expected shape and branches on its fields. It does not validate a live provider’s response, prove that the response is semantically sound, or establish model quality.
Fake and assert the Laravel HTTP boundary
If an agent tool or application service calls an external API through Laravel’s Http facade, fake the response and assert the request your code sends. Laravel’s HTTP client supports faked responses and request assertions such as Http::assertSent, which can inspect the URL, headers, and submitted data. Consult the Laravel 13.x HTTP Client documentation for the precise response and assertion syntax.
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Prevent unexpected requests from escaping the test with Http::preventStrayRequests(). An unmatched request then fails instead of silently reaching a real URL. If a test intentionally needs an external request, Laravel documents allowStrayRequests() as an opt-in for specified patterns. Prefer explicit fakes for ordinary application tests so their inputs and expected outcomes remain controlled.
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Exercise routes and interacting components with feature tests
A feature test can send a full request through the application and check the response and interactions among Laravel components, rather than invoking only an agent class in isolation. Use it to verify the route, validation, authorization, service wiring, and user-visible result for the path you care about. Laravel describes feature tests as tests that may exercise several objects or a full HTTP request in its testing guide; its HTTP Tests documentation covers making and asserting requests.
Keep the model boundary fake in most of these tests. That lets the test establish that Laravel handles a chosen agent result correctly without making the route test depend on provider availability or unpredictable prose. Pest and PHPUnit are both supported; use the runner already used by your application rather than treating either as inherently better for agent tests.
Decide what a queued-agent test is proving
Separate queue behavior from callback behavior. If the question is whether work is dispatched, fake the queue and assert the dispatch rather than running the job. If the question is what the application does after a generated result arrives, test that callback path with a controlled response.
The AI SDK documentation says that faked queued image, audio, transcription, or embedding generation invokes registered then callbacks with the fake response. Combining this with Laravel’s Queue::fake() can prevent actual callback invocation when the test is meant to verify queue behavior. This documented detail concerns those generation types; check the installed SDK version and the specific operation before applying it to other queued agent work.
Verify persisted effects in the test database
If a workflow writes data, assert the resulting state rather than trusting a success-sounding agent response. Laravel documents RefreshDatabase, model factories, seeders, and database assertions for checking records and counts in its Database Testing guide.
Choose assertions that match the risk: confirm the expected record and relevant fields, ensure it belongs to the correct user or account, and verify that unauthorized or rejected flows do not write data. These checks establish what your application persisted; they cannot establish whether generated content is factually or semantically good.
Use live-provider checks only for provider-only risks
A fake cannot establish that credentials are valid, that a real provider accepts the exact request, or that the configured model supports the provider-specific behavior your integration relies on. Nor can it demonstrate real output quality. Use a live check when one of those questions matters, isolate it from deterministic tests, and control its inputs and side effects.
For a live check, favor properties tied to application requirements over exact equality with nondeterministic prose. Depending on the feature, useful checks may include whether the response can be parsed, required structured fields are present, or a tool-use policy is respected. A human-reviewed evaluation set can help assess quality, but a single successful request is not broad evidence about model quality across prompts, time, or model versions.
Laravel’s reviewed documentation does not prescribe a universal live-test schedule, budget, or CI placement. Decide those operational details for your own provider, risk, and release process rather than presenting one cadence as framework guidance.
Choose a test layer by the claim you need to support
| Layer | What it can establish | What it cannot establish by itself |
|---|---|---|
| Agent fake and focused application test | Prompt construction, response handling, branching, and decisions about when to call an agent | Real provider compatibility or model quality |
| HTTP fake and request assertion | Outgoing request shape and handling of selected response or error cases through Laravel’s HTTP client | Behavior of transports that bypass that client or real service availability |
| Feature test | Application routing and interactions across Laravel components | Live-provider correctness when the provider boundary remains faked |
| Database assertion | Persisted state and intended database effects | Whether generated content is semantically good |
| Selective provider integration check | Real credentials, request compatibility, and response handling for the configured setup | Broad model quality across prompts, time, or all provider and model versions |
This is a practical distinction between test layers, not a vendor-published benchmark. For related Laravel test doubles and their use, see the Mocking documentation.
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