Make typed decisions over text or structured state with OpenRouter.
The client provides a convenient way to interact with the model API.
npm install --save @fal-ai/clientThe @fal-ai/serverless-client package has been deprecated in favor of @fal-ai/client. Install the new package and update your imports — see client setup.
Set FAL_KEY as an environment variable in your runtime.
export FAL_KEY="YOUR_API_KEY"The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.
import { fal } from "@fal-ai/client";
const result = await fal.subscribe("openrouter/router/decisions", {
input: {
state: "My card was charged twice. Please refund the duplicate.",
questions: {
department: {
criteria: {
shipping: "Delivery status, delays, or lost packages",
returns: "Refunds, exchanges, or damaged items",
billing: "Charges, invoices, or payment problems"
},
instructions: "Which team should handle this request?",
type: "choice"
},
refund_requested: {
instructions: "Is the customer requesting a refund?",
type: "noul"
}
}
},
logs: true,
onQueueUpdate: (update) => {
if (update.status === "IN_PROGRESS") {
update.logs.map((log) => log.message).forEach(console.log);
}
},
});
console.log(result.data);
console.log(result.requestId);The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.
import { fal } from "@fal-ai/client";
fal.config({
credentials: "YOUR_FAL_KEY"
});When running code on the client-side (e.g. in a browser, mobile app or GUI applications), make sure to not expose your FAL_KEY. Instead, use a server-side proxy to make requests to the API. For more information, check out our server-side integration guide.
The client API provides a convenient way to submit requests to the model.
import { fal } from "@fal-ai/client";
const { request_id } = await fal.queue.submit("openrouter/router/decisions", {
input: {
state: "My card was charged twice. Please refund the duplicate.",
questions: {
department: {
criteria: {
shipping: "Delivery status, delays, or lost packages",
returns: "Refunds, exchanges, or damaged items",
billing: "Charges, invoices, or payment problems"
},
instructions: "Which team should handle this request?",
type: "choice"
},
refund_requested: {
instructions: "Is the customer requesting a refund?",
type: "noul"
}
}
},
webhookUrl: "https://optional.webhook.url/for/results",
});You can fetch the status of a request to check if it is completed or still in progress.
import { fal } from "@fal-ai/client";
const status = await fal.queue.status("openrouter/router/decisions", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
logs: true,
});Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.
import { fal } from "@fal-ai/client";
const result = await fal.queue.result("openrouter/router/decisions", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.
You can pass a Base64 data URI as a file input. The API will handle the file decoding for you. Keep in mind that for large files, this alternative although convenient can impact the request performance.
You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.
We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.
import { fal } from "@fal-ai/client";
const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);The client will auto-upload the file for you if you pass a binary object (e.g. File, Data).
Read more about file handling in our file upload guide.
Text or structured JSON content for the model to evaluate.
Questions keyed by caller-defined IDs. Each question is evaluated independently against the same state.
model stringOpenRouter Decisions model to use. Default value: "typesafe/jev-1.13"
session_id stringIdentifier for grouping related decision requests.
enable_safety_checker booleanAuthorized callers may set false to request relaxed screening. Default value: true
{
"state": "My card was charged twice. Please refund the duplicate.",
"questions": {
"department": {
"criteria": {
"shipping": "Delivery status, delays, or lost packages",
"returns": "Refunds, exchanges, or damaged items",
"billing": "Charges, invoices, or payment problems"
},
"instructions": "Which team should handle this request?",
"type": "choice"
},
"refund_requested": {
"instructions": "Is the customer requesting a refund?",
"type": "noul"
}
},
"model": "typesafe/jev-1.13",
"enable_safety_checker": true
}model string* requiredid stringprovider string{
"model": "",
"usage": {}
}type string* requiredinstructions string* requiredThe yes/no question to evaluate.
Optional descriptions clarifying true and false outcomes.
type string* requiredinstructions string* requiredThe question the model should answer.
Answer options mapped to descriptions of each option.
type string* requiredinstructions string* requiredThe quality or property to score.
Ordered level descriptions, from the low end to the high end.
input_tokens integer* requiredoutput_tokens integer* requiredtotal_tokens integercost floattype string* requirednoul float* requiredProbability from 0 to 1 that the answer is yes.
What should count as a yes/true outcome.
What should count as a no/false outcome.