Typescript (SDK)
import { RaijinLabsLucidAi } from "raijin-labs-lucid-ai";
const raijinLabsLucidAi = new RaijinLabsLucidAi();
async function run() {
const result = await raijinLabsLucidAi.run.chatCompletions({
body: {
model: "mistral-7b-instruct",
messages: [
{
role: "system",
content: "You are a helpful AI assistant.",
},
{
role: "user",
content: "Explain how MMR proofs work in one paragraph.",
},
],
maxTokens: 256,
temperature: 0.7,
},
});
console.log(result);
}
run();curl --request POST \
--url http://localhost:3001/v1/chat/completions \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "mistral-7b-instruct",
"messages": [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "Explain how MMR proofs work in one paragraph."
}
],
"max_tokens": 256,
"temperature": 0.7
}
'import requests
url = "http://localhost:3001/v1/chat/completions"
payload = {
"model": "mistral-7b-instruct",
"messages": [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "Explain how MMR proofs work in one paragraph."
}
],
"max_tokens": 256,
"temperature": 0.7
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: 'mistral-7b-instruct',
messages: [
{role: 'system', content: 'You are a helpful AI assistant.'},
{role: 'user', content: 'Explain how MMR proofs work in one paragraph.'}
],
max_tokens: 256,
temperature: 0.7
})
};
fetch('http://localhost:3001/v1/chat/completions', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_PORT => "3001",
CURLOPT_URL => "http://localhost:3001/v1/chat/completions",
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' => 'mistral-7b-instruct',
'messages' => [
[
'role' => 'system',
'content' => 'You are a helpful AI assistant.'
],
[
'role' => 'user',
'content' => 'Explain how MMR proofs work in one paragraph.'
]
],
'max_tokens' => 256,
'temperature' => 0.7
]),
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;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "http://localhost:3001/v1/chat/completions"
payload := strings.NewReader("{\n \"model\": \"mistral-7b-instruct\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"You are a helpful AI assistant.\"\n },\n {\n \"role\": \"user\",\n \"content\": \"Explain how MMR proofs work in one paragraph.\"\n }\n ],\n \"max_tokens\": 256,\n \"temperature\": 0.7\n}")
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(string(body))
}HttpResponse<String> response = Unirest.post("http://localhost:3001/v1/chat/completions")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"mistral-7b-instruct\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"You are a helpful AI assistant.\"\n },\n {\n \"role\": \"user\",\n \"content\": \"Explain how MMR proofs work in one paragraph.\"\n }\n ],\n \"max_tokens\": 256,\n \"temperature\": 0.7\n}")
.asString();require 'uri'
require 'net/http'
url = URI("http://localhost:3001/v1/chat/completions")
http = Net::HTTP.new(url.host, url.port)
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"mistral-7b-instruct\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"You are a helpful AI assistant.\"\n },\n {\n \"role\": \"user\",\n \"content\": \"Explain how MMR proofs work in one paragraph.\"\n }\n ],\n \"max_tokens\": 256,\n \"temperature\": 0.7\n}"
response = http.request(request)
puts response.read_body{
"id": "chatcmpl-abc123",
"object": "chat.completion",
"created": 1710288000,
"model": "mistral-7b-instruct",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "A Merkle Mountain Range (MMR) proof works by..."
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 42,
"completion_tokens": 128,
"total_tokens": 170
}
}{
"success": true,
"error": "<string>",
"message": "<string>",
"error_code": "<string>",
"details": "<unknown>"
}{
"error": "Payment Required",
"x402": {
"version": "2",
"facilitator": "direct",
"payment": {
"chain": "base-sepolia",
"token": "USDC",
"tokenAddress": "<string>",
"amount": "<string>",
"recipient": "<string>",
"facilitator": "<string>",
"scheme": "exact"
},
"expires": 123,
"description": "<string>",
"alternatives": [
{}
],
"splits": [
{}
]
}
}{
"success": true,
"error": "<string>",
"message": "<string>",
"error_code": "<string>",
"details": "<unknown>"
}Run
OpenAI-compatible chat completions
x402-gated with dynamic pricing. If X402_ENABLED=true, requests without
a valid X-Payment-Proof header receive HTTP 402 with payment instructions.
Pricing is resolved per-model from the asset_pricing table.
POST
/
v1
/
chat
/
completions
Typescript (SDK)
import { RaijinLabsLucidAi } from "raijin-labs-lucid-ai";
const raijinLabsLucidAi = new RaijinLabsLucidAi();
async function run() {
const result = await raijinLabsLucidAi.run.chatCompletions({
body: {
model: "mistral-7b-instruct",
messages: [
{
role: "system",
content: "You are a helpful AI assistant.",
},
{
role: "user",
content: "Explain how MMR proofs work in one paragraph.",
},
],
maxTokens: 256,
temperature: 0.7,
},
});
console.log(result);
}
run();curl --request POST \
--url http://localhost:3001/v1/chat/completions \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "mistral-7b-instruct",
"messages": [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "Explain how MMR proofs work in one paragraph."
}
],
"max_tokens": 256,
"temperature": 0.7
}
'import requests
url = "http://localhost:3001/v1/chat/completions"
payload = {
"model": "mistral-7b-instruct",
"messages": [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "Explain how MMR proofs work in one paragraph."
}
],
"max_tokens": 256,
"temperature": 0.7
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: 'mistral-7b-instruct',
messages: [
{role: 'system', content: 'You are a helpful AI assistant.'},
{role: 'user', content: 'Explain how MMR proofs work in one paragraph.'}
],
max_tokens: 256,
temperature: 0.7
})
};
fetch('http://localhost:3001/v1/chat/completions', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_PORT => "3001",
CURLOPT_URL => "http://localhost:3001/v1/chat/completions",
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' => 'mistral-7b-instruct',
'messages' => [
[
'role' => 'system',
'content' => 'You are a helpful AI assistant.'
],
[
'role' => 'user',
'content' => 'Explain how MMR proofs work in one paragraph.'
]
],
'max_tokens' => 256,
'temperature' => 0.7
]),
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;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "http://localhost:3001/v1/chat/completions"
payload := strings.NewReader("{\n \"model\": \"mistral-7b-instruct\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"You are a helpful AI assistant.\"\n },\n {\n \"role\": \"user\",\n \"content\": \"Explain how MMR proofs work in one paragraph.\"\n }\n ],\n \"max_tokens\": 256,\n \"temperature\": 0.7\n}")
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(string(body))
}HttpResponse<String> response = Unirest.post("http://localhost:3001/v1/chat/completions")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"mistral-7b-instruct\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"You are a helpful AI assistant.\"\n },\n {\n \"role\": \"user\",\n \"content\": \"Explain how MMR proofs work in one paragraph.\"\n }\n ],\n \"max_tokens\": 256,\n \"temperature\": 0.7\n}")
.asString();require 'uri'
require 'net/http'
url = URI("http://localhost:3001/v1/chat/completions")
http = Net::HTTP.new(url.host, url.port)
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"mistral-7b-instruct\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"You are a helpful AI assistant.\"\n },\n {\n \"role\": \"user\",\n \"content\": \"Explain how MMR proofs work in one paragraph.\"\n }\n ],\n \"max_tokens\": 256,\n \"temperature\": 0.7\n}"
response = http.request(request)
puts response.read_body{
"id": "chatcmpl-abc123",
"object": "chat.completion",
"created": 1710288000,
"model": "mistral-7b-instruct",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "A Merkle Mountain Range (MMR) proof works by..."
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 42,
"completion_tokens": 128,
"total_tokens": 170
}
}{
"success": true,
"error": "<string>",
"message": "<string>",
"error_code": "<string>",
"details": "<unknown>"
}{
"error": "Payment Required",
"x402": {
"version": "2",
"facilitator": "direct",
"payment": {
"chain": "base-sepolia",
"token": "USDC",
"tokenAddress": "<string>",
"amount": "<string>",
"recipient": "<string>",
"facilitator": "<string>",
"scheme": "exact"
},
"expires": 123,
"description": "<string>",
"alternatives": [
{}
],
"splits": [
{}
]
}
}{
"success": true,
"error": "<string>",
"message": "<string>",
"error_code": "<string>",
"details": "<unknown>"
}Authorizations
Lucid API key (lk_live_... or lk_test_...)
Headers
Transaction hash proving USDC payment (x402 protocol)
Body
application/json
⌘I
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