Run a credit-metered inference request

POST

inference

curl --request POST \
  --url https://api.1849.ai/v1/inference \
  --header 'Content-Type: application/json' \
  --header 'Idempotency-Key: <idempotency-key>' \
  --header 'X-Api-Key: <api-key>' \
  --data '
{
  "model": "<string>",
  "messages": [
    {
      "content": "<string>"
    }
  ],
  "max_budget_micros": "<string>",
  "max_output_tokens": 2
}
'

import requests

url = "https://api.1849.ai/v1/inference"

payload = {
    "model": "<string>",
    "messages": [{ "content": "<string>" }],
    "max_budget_micros": "<string>",
    "max_output_tokens": 2
}
headers = {
    "Idempotency-Key": "<idempotency-key>",
    "X-Api-Key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {
    'Idempotency-Key': '<idempotency-key>',
    'X-Api-Key': '<api-key>',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: '<string>',
    messages: [{content: '<string>'}],
    max_budget_micros: '<string>',
    max_output_tokens: 2
  })
};

fetch('https://api.1849.ai/v1/inference', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.1849.ai/v1/inference",
  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([
    'model' => '<string>',
    'messages' => [
        [
                'content' => '<string>'
        ]
    ],
    'max_budget_micros' => '<string>',
    'max_output_tokens' => 2
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "Idempotency-Key: <idempotency-key>",
    "X-Api-Key: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.1849.ai/v1/inference"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"messages\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"max_budget_micros\": \"<string>\",\n  \"max_output_tokens\": 2\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Idempotency-Key", "<idempotency-key>")
	req.Header.Add("X-Api-Key", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.1849.ai/v1/inference")
  .header("Idempotency-Key", "<idempotency-key>")
  .header("X-Api-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"messages\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"max_budget_micros\": \"<string>\",\n  \"max_output_tokens\": 2\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.1849.ai/v1/inference")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Idempotency-Key"] = '<idempotency-key>'
request["X-Api-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"<string>\",\n  \"messages\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"max_budget_micros\": \"<string>\",\n  \"max_output_tokens\": 2\n}"

response = http.request(request)
puts response.read_body

{
  "kind": "completed",
  "request": {},
  "body": {},
  "reason": "<string>"
}

{
  "error": {
    "code": "<string>",
    "reason": "<string>",
    "suggestion": "<string>"
  }
}

{
  "error": {
    "code": "<string>",
    "reason": "<string>",
    "suggestion": "<string>"
  }
}

{
  "error": {
    "code": "<string>",
    "reason": "<string>",
    "suggestion": "<string>"
  }
}

{
  "error": {
    "code": "<string>",
    "reason": "<string>",
    "suggestion": "<string>"
  }
}

{
  "error": {
    "code": "<string>",
    "reason": "<string>",
    "suggestion": "<string>"
  }
}

Authorizations

X-Api-Key

string

header

required

A connection-bound gk_agent_ credential. REST deliberately accepts it through either X-Api-Key or Authorization: Bearer; X-Api-Key remains supported. Its fixed scopes are intersected with the current live grant before route authorization.

Headers

Idempotency-Key

string

required

A unique key for this logical mutation. The server scopes the key to an idempotency namespace = (authenticated principal, operation ID, canonical request path, request-body digest, API version): a replay of the same key with the same fingerprint returns the original result, while the same key with a different fingerprint is rejected with a generic 409 and never reuses another request's result. Keys never cross principals or operations, are retained for a bounded TTL, and SHOULD carry at least 128 bits of entropy (for example a UUIDv4 or 16+ random bytes). Reuse a key only when retrying the exact same request.

Required string length: 1 - 255

Body

application/json

model

string

required

Minimum string length: 1

messages

object[]

required

Show child attributes

max_budget_micros

string

required

Pattern: ^(0|[1-9][0-9]{0,18})$

max_output_tokens

integer

required

Required range: x >= 1

Response

Inference result.

kind

enum<string>

required

Available options:

completed,

refused

request

object

required

body

object

reason

string

Run a credit-metered inference request

curl --request POST \
  --url https://api.1849.ai/v1/inference \
  --header 'Content-Type: application/json' \
  --header 'Idempotency-Key: <idempotency-key>' \
  --header 'X-Api-Key: <api-key>' \
  --data '
{
  "model": "<string>",
  "messages": [
    {
      "content": "<string>"
    }
  ],
  "max_budget_micros": "<string>",
  "max_output_tokens": 2
}
'

import requests

url = "https://api.1849.ai/v1/inference"

payload = {
    "model": "<string>",
    "messages": [{ "content": "<string>" }],
    "max_budget_micros": "<string>",
    "max_output_tokens": 2
}
headers = {
    "Idempotency-Key": "<idempotency-key>",
    "X-Api-Key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {
    'Idempotency-Key': '<idempotency-key>',
    'X-Api-Key': '<api-key>',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: '<string>',
    messages: [{content: '<string>'}],
    max_budget_micros: '<string>',
    max_output_tokens: 2
  })
};

fetch('https://api.1849.ai/v1/inference', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.1849.ai/v1/inference",
  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([
    'model' => '<string>',
    'messages' => [
        [
                'content' => '<string>'
        ]
    ],
    'max_budget_micros' => '<string>',
    'max_output_tokens' => 2
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "Idempotency-Key: <idempotency-key>",
    "X-Api-Key: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.1849.ai/v1/inference"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"messages\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"max_budget_micros\": \"<string>\",\n  \"max_output_tokens\": 2\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Idempotency-Key", "<idempotency-key>")
	req.Header.Add("X-Api-Key", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.1849.ai/v1/inference")
  .header("Idempotency-Key", "<idempotency-key>")
  .header("X-Api-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"messages\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"max_budget_micros\": \"<string>\",\n  \"max_output_tokens\": 2\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.1849.ai/v1/inference")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Idempotency-Key"] = '<idempotency-key>'
request["X-Api-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"<string>\",\n  \"messages\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"max_budget_micros\": \"<string>\",\n  \"max_output_tokens\": 2\n}"

response = http.request(request)
puts response.read_body

{
  "kind": "completed",
  "request": {},
  "body": {},
  "reason": "<string>"
}

{
  "error": {
    "code": "<string>",
    "reason": "<string>",
    "suggestion": "<string>"
  }
}

{
  "error": {
    "code": "<string>",
    "reason": "<string>",
    "suggestion": "<string>"
  }
}

{
  "error": {
    "code": "<string>",
    "reason": "<string>",
    "suggestion": "<string>"
  }
}

{
  "error": {
    "code": "<string>",
    "reason": "<string>",
    "suggestion": "<string>"
  }
}

{
  "error": {
    "code": "<string>",
    "reason": "<string>",
    "suggestion": "<string>"
  }
}

Get started

API reference

Endpoints

SDK

CLI

MCP server

Agent format

Canonical JSON

Run a credit-metered inference request

Authorizations

Headers

Body

Response