Run an inference with a base model
Viewing v2— current version
curl --request POST \ --url https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/:slug/inferences \ --header 'Authorization: Bearer <token>' \ --header 'Content-Type: application/json' \ --data '{}'import requests
url = "https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/:slug/inferences"
payload = {}headers = { "Authorization": "Bearer <token>", "Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.json())const url = 'https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/:slug/inferences';const options = { method: 'POST', headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'}, body: '{}'};
try { const response = await fetch(url, options); const data = await response.json(); console.log(data);} catch (error) { console.error(error);}package main
import ( "fmt" "strings" "net/http" "io")
func main() {
url := "https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/:slug/inferences"
payload := strings.NewReader("{}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>") req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close() body, _ := io.ReadAll(res.Body)
fmt.Println(res) fmt.Println(string(body))
}<?php
$curl = curl_init();
curl_setopt_array($curl, [ CURLOPT_URL => "https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/:slug/inferences", CURLOPT_RETURNTRANSFER => true, CURLOPT_ENCODING => "", CURLOPT_MAXREDIRS => 10, CURLOPT_TIMEOUT => 30, CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1, CURLOPT_CUSTOMREQUEST => "POST", CURLOPT_POSTFIELDS => json_encode([
]), CURLOPT_HTTPHEADER => [ "Authorization: Bearer <token>", "Content-Type: application/json" ],]);
$response = curl_exec($curl);$err = curl_error($curl);
curl_close($curl);
if ($err) { echo "cURL Error #:" . $err;} else { echo $response;}OkHttpClient client = new OkHttpClient();
MediaType mediaType = MediaType.parse("application/json");RequestBody body = RequestBody.create(mediaType, "{}");Request request = new Request.Builder() .url("https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/:slug/inferences") .post(body) .addHeader("Authorization", "Bearer <token>") .addHeader("Content-Type", "application/json") .build();
Response response = client.newCall(request).execute();require 'uri'require 'net/http'
url = URI("https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/:slug/inferences")
http = Net::HTTP.new(url.host, url.port)http.use_ssl = true
request = Net::HTTP::Post.new(url)request["Authorization"] = 'Bearer <token>'request["Content-Type"] = 'application/json'request.body = "{}"
response = http.request(request)puts response.read_bodyvar client = new RestClient("https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/:slug/inferences");var request = new RestRequest("", Method.Post);request.AddHeader("Authorization", "Bearer <token>");request.AddHeader("Content-Type", "application/json");request.AddParameter("application/json", "{}", ParameterType.RequestBody);var response = client.Execute(request);New in v2. This endpoint has no v1 equivalent.
Start a generation with the given base model. The request body is the model’s inference form (see GET /base-models/{slug}/inference-schema for its shape). Returns immediately with an inference id; poll GET /workspaces/{workspace_id}/inferences/{inference_id} for results.
Authorizations
Section titled “Authorizations”Parameters
Section titled “Parameters”Path Parameters
Section titled “Path Parameters”Id of the workspace that owns the resource.
Id of the workspace that owns the resource.
URL-safe slug of the base model, as returned by the list base models endpoint.
URL-safe slug of the base model, as returned by the list base models endpoint.
Query Parameters
Section titled “Query Parameters”Request Bodyrequired
Section titled “Request Bodyrequired”object
Examplegenerated
{}Responses
Section titled “Responses”Successful Response
object
Unique identifier for this forge run.
Current status: IN_PROGRESS.
Suggested polling interval in seconds.
Timestamp of when the run was created.
Inference parameters after model-specific normalization.
These reflect the actual values used for generation, including model defaults applied for any parameters not explicitly set.
Example
{ "status": "in_progress"}Unauthenticated — missing or invalid Bearer token.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Forbidden — insufficient permissions.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Resource not found.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Invalid input parameters.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Rate limited — too many concurrent requests.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Internal server error.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}