Integrations

No connector to install. No engineering required.

LuminosAI doesn't need to be built into your stack. Tell us what you're using, and we'll tell you exactly how to get us the data, no integration required.

Try It Free

Two ways to connect. Pick the one that fits.

Most eval tools make you install something inside your pipeline before you can run a single test. LuminosAI works the other way: describe your system, and we hand you the instructions for getting us your data.

Zero Engineering

Drag & Drop

We give your agent tool's export feature a simple set of instructions. Export a CSV or JSON of your conversations, drag it into LuminosAI, and we build the eval around it. Works with anything that can export a file.

For Engineering Teams

Call our API

Want it automated end to end, on a schedule or inside CI/CD? Our API accepts the same two inputs as the UI: your data and a description of your system. One import, and it runs itself from there.

How it actually works.

1Tell us what you built your agent or model in.

2We give you the exact export or endpoint steps.

3Send us the data, by file or by API.

4We build and run the eval automatically.

Works with whatever you already built in.

Not native integrations. Something more flexible: if it can export a file or call an endpoint, LuminosAI works with it.

Copilot StudioVoiceflowDifyBedrock AgentsZapierMakeSalesforce AgentforceServiceNowCustom in-house stacks

Prefer code? We disappear into your pipeline.

Wire it into CI/CD as a gate, and LuminosAI disappears into your pipeline, checking every build automatically so nothing ships without being caught first.

from luminos_ai import LuminosAPI

api_client = LuminosAPI()

await api_client.connect("myLuminosApiKey")

await api_client.evaluations.create(

name="Support agent v4.2",

data="support_conversations.csv",

)

You build the agent.We build the eval.

No connector to configure. Tell us your system, send us the data, and we take it from there.

Try It Free