feat(cursor): add core protobuf encoder/decoder and executor

- Split protobuf into 3 files: schema, encoder, decoder for <200 LOC constraint
- Implement ConnectRPC wire format encoding (varint, fields, messages, frames)
- Implement protobuf decoder with gzip decompression support
- Port Cursor executor with HTTP/2 support and checksum generation (Jyh cipher)
- Add OpenAI to Cursor message translator (system→user, tool results handling)
- Transform protobuf responses to both SSE and JSON formats
- Use Node.js built-in crypto/zlib (no uuid dependency)
- All files TypeScript strict mode compliant
This commit is contained in:
Tam Nhu Tran
2026-02-11 17:59:44 +07:00
parent 8244162ff3
commit 9daf9430bb
6 changed files with 1911 additions and 0 deletions
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/**
* Cursor Executor
* Handles HTTP/2 requests to Cursor API with protobuf encoding/decoding
*/
import * as crypto from "crypto";
import * as zlib from "zlib";
import type { IncomingHttpHeaders } from "http";
import { generateCursorBody, extractTextFromResponse } from "./cursor-protobuf.js";
import { buildCursorRequest } from "./cursor-translator.js";
import type { CursorMessage, CursorTool } from "./cursor-protobuf-schema.js";
/** Compression flags for response parsing */
const COMPRESS_FLAG = {
NONE: 0x00,
GZIP: 0x01,
GZIP_ALT: 0x02,
GZIP_BOTH: 0x03,
} as const;
/** Cursor credentials structure */
interface CursorCredentials {
accessToken: string;
providerSpecificData?: {
machineId?: string;
ghostMode?: boolean;
};
}
/** Executor parameters */
interface ExecutorParams {
model: string;
body: {
messages: Array<{
role: string;
content: string | Array<{ type: string; text?: string }>;
name?: string;
tool_call_id?: string;
tool_calls?: Array<{
id: string;
type: string;
function: { name: string; arguments: string };
}>;
}>;
tools?: CursorTool[];
reasoning_effort?: string;
};
stream: boolean;
credentials: CursorCredentials;
signal?: AbortSignal;
}
/** HTTP/2 response structure */
interface Http2Response {
status: number;
headers: IncomingHttpHeaders;
body: Buffer;
}
/** Detect cloud environment */
function isCloudEnv(): boolean {
if (typeof caches !== "undefined" && typeof caches === "object") return true;
try {
// Check for EdgeRuntime without causing compilation error
if (typeof (globalThis as { EdgeRuntime?: string }).EdgeRuntime !== "undefined") return true;
} catch {
// Continue
}
return false;
}
/** Lazy import http2 */
let http2Module: typeof import("http2") | null = null;
async function getHttp2() {
if (http2Module) return http2Module;
if (!isCloudEnv()) {
try {
http2Module = await import("http2");
return http2Module;
} catch {
return null;
}
}
return null;
}
/**
* Decompress payload if needed
*/
function decompressPayload(payload: Buffer, flags: number): Buffer {
// Check if payload is JSON error
if (payload.length > 10 && payload[0] === 0x7b && payload[1] === 0x22) {
try {
const text = payload.toString("utf-8");
if (text.startsWith('{"error"')) {
return payload;
}
} catch {
// Continue
}
}
if (
flags === COMPRESS_FLAG.GZIP ||
flags === COMPRESS_FLAG.GZIP_ALT ||
flags === COMPRESS_FLAG.GZIP_BOTH
) {
try {
return zlib.gunzipSync(payload);
} catch {
return payload;
}
}
return payload;
}
/**
* Create error response from JSON error
*/
function createErrorResponse(jsonError: {
error?: {
code?: string;
message?: string;
details?: Array<{ debug?: { details?: { title?: string; detail?: string }; error?: string } }>;
};
}): Response {
const errorMsg =
jsonError?.error?.details?.[0]?.debug?.details?.title ||
jsonError?.error?.details?.[0]?.debug?.details?.detail ||
jsonError?.error?.message ||
"API Error";
const isRateLimit = jsonError?.error?.code === "resource_exhausted";
return new Response(
JSON.stringify({
error: {
message: errorMsg,
type: isRateLimit ? "rate_limit_error" : "api_error",
code: jsonError?.error?.details?.[0]?.debug?.error || "unknown",
},
}),
{
status: isRateLimit ? 429 : 400,
headers: { "Content-Type": "application/json" },
}
);
}
export class CursorExecutor {
private readonly baseUrl = "https://api2.cursor.sh";
private readonly chatPath = "/aiserver.v1.AiService/StreamChat";
buildUrl(): string {
return `${this.baseUrl}${this.chatPath}`;
}
/**
* Generate checksum using Jyh cipher (time-based XOR with rolling key seed=165)
*/
generateChecksum(machineId: string): string {
const timestamp = Math.floor(Date.now() / 1000000);
const byteArray = new Uint8Array([
(timestamp >> 40) & 0xff,
(timestamp >> 32) & 0xff,
(timestamp >> 24) & 0xff,
(timestamp >> 16) & 0xff,
(timestamp >> 8) & 0xff,
timestamp & 0xff,
]);
let t = 165;
for (let i = 0; i < byteArray.length; i++) {
byteArray[i] = ((byteArray[i] ^ t) + (i % 256)) & 0xff;
t = byteArray[i];
}
const alphabet = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789-_";
let encoded = "";
for (let i = 0; i < byteArray.length; i += 3) {
const a = byteArray[i];
const b = i + 1 < byteArray.length ? byteArray[i + 1] : 0;
const c = i + 2 < byteArray.length ? byteArray[i + 2] : 0;
encoded += alphabet[a >> 2];
encoded += alphabet[((a & 3) << 4) | (b >> 4)];
if (i + 1 < byteArray.length) {
encoded += alphabet[((b & 15) << 2) | (c >> 6)];
}
if (i + 2 < byteArray.length) {
encoded += alphabet[c & 63];
}
}
return `${encoded}${machineId}`;
}
buildHeaders(credentials: CursorCredentials): Record<string, string> {
const accessToken = credentials.accessToken;
const machineId = credentials.providerSpecificData?.machineId;
const ghostMode = credentials.providerSpecificData?.ghostMode !== false;
if (!machineId) {
throw new Error("Machine ID is required for Cursor API");
}
const cleanToken = accessToken.includes("::")
? accessToken.split("::")[1]
: accessToken;
return {
authorization: `Bearer ${cleanToken}`,
"connect-accept-encoding": "gzip",
"connect-protocol-version": "1",
"content-type": "application/connect+proto",
"user-agent": "connect-es/1.6.1",
"x-amzn-trace-id": `Root=${crypto.randomUUID()}`,
"x-client-key": crypto.createHash("sha256").update(cleanToken).digest("hex"),
"x-cursor-checksum": this.generateChecksum(machineId),
"x-cursor-client-version": "2.3.41",
"x-cursor-client-type": "ide",
"x-cursor-client-os":
process.platform === "win32"
? "windows"
: process.platform === "darwin"
? "macos"
: "linux",
"x-cursor-client-arch": process.arch === "arm64" ? "aarch64" : "x64",
"x-cursor-client-device-type": "desktop",
"x-cursor-config-version": crypto.randomUUID(),
"x-cursor-timezone":
Intl.DateTimeFormat().resolvedOptions().timeZone || "UTC",
"x-ghost-mode": ghostMode ? "true" : "false",
"x-request-id": crypto.randomUUID(),
"x-session-id": crypto
.createHash("sha256")
.update(cleanToken)
.digest("hex")
.substring(0, 36),
};
}
transformRequest(
model: string,
body: ExecutorParams["body"],
stream: boolean,
credentials: CursorCredentials
): Uint8Array {
const translatedBody = buildCursorRequest(model, body, stream, credentials);
const messages = translatedBody.messages || [];
const tools = (translatedBody.tools || body.tools || []) as CursorTool[];
const reasoningEffort = body.reasoning_effort || null;
return generateCursorBody(messages, model, tools, reasoningEffort);
}
async makeFetchRequest(
url: string,
headers: Record<string, string>,
body: Uint8Array,
signal?: AbortSignal
): Promise<Http2Response> {
const response = await fetch(url, {
method: "POST",
headers,
body,
signal,
});
const responseHeaders: Record<string, string> = {};
response.headers.forEach((value, key) => {
responseHeaders[key] = value;
});
return {
status: response.status,
headers: responseHeaders,
body: Buffer.from(await response.arrayBuffer()),
};
}
async makeHttp2Request(
url: string,
headers: Record<string, string>,
body: Uint8Array,
signal?: AbortSignal
): Promise<Http2Response> {
const http2 = await getHttp2();
if (!http2) {
throw new Error("http2 module not available");
}
return new Promise((resolve, reject) => {
const urlObj = new URL(url);
const client = http2.connect(`https://${urlObj.host}`);
const chunks: Buffer[] = [];
let responseHeaders: IncomingHttpHeaders = {};
client.on("error", reject);
const req = client.request({
":method": "POST",
":path": urlObj.pathname,
":authority": urlObj.host,
":scheme": "https",
...headers,
});
req.on("response", (hdrs) => {
responseHeaders = hdrs;
});
req.on("data", (chunk: Buffer) => {
chunks.push(chunk);
});
req.on("end", () => {
client.close();
resolve({
status: Number(responseHeaders[":status"]),
headers: responseHeaders,
body: Buffer.concat(chunks),
});
});
req.on("error", (err) => {
client.close();
reject(err);
});
if (signal) {
signal.addEventListener("abort", () => {
req.close();
client.close();
reject(new Error("Request aborted"));
});
}
req.write(body);
req.end();
});
}
async execute(params: ExecutorParams): Promise<{
response: Response;
url: string;
headers: Record<string, string>;
transformedBody: ExecutorParams["body"];
}> {
const { model, body, stream, credentials, signal } = params;
const url = this.buildUrl();
const headers = this.buildHeaders(credentials);
const transformedBody = this.transformRequest(model, body, stream, credentials);
try {
const http2 = await getHttp2();
const response = http2
? await this.makeHttp2Request(url, headers, transformedBody, signal)
: await this.makeFetchRequest(url, headers, transformedBody, signal);
if (response.status !== 200) {
const errorText = response.body?.toString() || "Unknown error";
const errorResponse = new Response(
JSON.stringify({
error: {
message: `[${response.status}]: ${errorText}`,
type: "invalid_request_error",
code: "",
},
}),
{
status: response.status,
headers: { "Content-Type": "application/json" },
}
);
return { response: errorResponse, url, headers, transformedBody: body };
}
const transformedResponse =
stream !== false
? this.transformProtobufToSSE(response.body, model, body)
: this.transformProtobufToJSON(response.body, model, body);
return { response: transformedResponse, url, headers, transformedBody: body };
} catch (error) {
const errorResponse = new Response(
JSON.stringify({
error: {
message: (error as Error).message,
type: "connection_error",
code: "",
},
}),
{
status: 500,
headers: { "Content-Type": "application/json" },
}
);
return { response: errorResponse, url, headers, transformedBody: body };
}
}
transformProtobufToJSON(
buffer: Buffer,
model: string,
body: ExecutorParams["body"]
): Response {
const responseId = `chatcmpl-cursor-${Date.now()}`;
const created = Math.floor(Date.now() / 1000);
let offset = 0;
let totalContent = "";
const toolCalls: Array<{
id: string;
type: string;
function: { name: string; arguments: string };
}> = [];
const toolCallsMap = new Map<
string,
{
id: string;
type: string;
function: { name: string; arguments: string };
isLast: boolean;
index: number;
}
>();
while (offset < buffer.length) {
if (offset + 5 > buffer.length) break;
const flags = buffer[offset];
const length = buffer.readUInt32BE(offset + 1);
if (offset + 5 + length > buffer.length) break;
let payload = buffer.slice(offset + 5, offset + 5 + length);
offset += 5 + length;
payload = decompressPayload(payload, flags);
try {
const text = payload.toString("utf-8");
if (text.startsWith("{") && text.includes('"error"')) {
return createErrorResponse(JSON.parse(text));
}
} catch {
// Continue
}
const result = extractTextFromResponse(new Uint8Array(payload));
if (result.error) {
return new Response(
JSON.stringify({
error: {
message: result.error,
type: "rate_limit_error",
code: "rate_limited",
},
}),
{
status: 429,
headers: { "Content-Type": "application/json" },
}
);
}
if (result.toolCall) {
const tc = result.toolCall;
if (toolCallsMap.has(tc.id)) {
const existing = toolCallsMap.get(tc.id)!;
existing.function.arguments += tc.function.arguments;
existing.isLast = tc.isLast;
} else {
toolCallsMap.set(tc.id, {
...tc,
index: toolCallsMap.size,
});
}
if (tc.isLast) {
const finalToolCall = toolCallsMap.get(tc.id)!;
toolCalls.push({
id: finalToolCall.id,
type: finalToolCall.type,
function: {
name: finalToolCall.function.name,
arguments: finalToolCall.function.arguments,
},
});
}
}
if (result.text) totalContent += result.text;
}
// Finalize remaining tool calls
for (const id of Array.from(toolCallsMap.keys())) {
const tc = toolCallsMap.get(id)!;
if (!toolCalls.find((t) => t.id === id)) {
toolCalls.push({
id: tc.id,
type: tc.type,
function: {
name: tc.function.name,
arguments: tc.function.arguments,
},
});
}
}
const message: {
role: string;
content: string | null;
tool_calls?: Array<{
id: string;
type: string;
function: { name: string; arguments: string };
}>;
} = {
role: "assistant",
content: totalContent || null,
};
if (toolCalls.length > 0) {
message.tool_calls = toolCalls;
}
const completion = {
id: responseId,
object: "chat.completion",
created,
model,
choices: [
{
index: 0,
message,
finish_reason: toolCalls.length > 0 ? "tool_calls" : "stop",
},
],
usage: {
prompt_tokens: 0,
completion_tokens: 0,
total_tokens: 0,
},
};
return new Response(JSON.stringify(completion), {
status: 200,
headers: { "Content-Type": "application/json" },
});
}
transformProtobufToSSE(
buffer: Buffer,
model: string,
body: ExecutorParams["body"]
): Response {
const responseId = `chatcmpl-cursor-${Date.now()}`;
const created = Math.floor(Date.now() / 1000);
const chunks: string[] = [];
let offset = 0;
let totalContent = "";
const toolCalls: Array<{
id: string;
type: string;
function: { name: string; arguments: string };
index: number;
}> = [];
const toolCallsMap = new Map<
string,
{
id: string;
type: string;
function: { name: string; arguments: string };
isLast: boolean;
index: number;
}
>();
while (offset < buffer.length) {
if (offset + 5 > buffer.length) break;
const flags = buffer[offset];
const length = buffer.readUInt32BE(offset + 1);
if (offset + 5 + length > buffer.length) break;
let payload = buffer.slice(offset + 5, offset + 5 + length);
offset += 5 + length;
payload = decompressPayload(payload, flags);
try {
const text = payload.toString("utf-8");
if (text.startsWith("{") && text.includes('"error"')) {
return createErrorResponse(JSON.parse(text));
}
} catch {
// Continue
}
const result = extractTextFromResponse(new Uint8Array(payload));
if (result.error) {
return new Response(
JSON.stringify({
error: {
message: result.error,
type: "rate_limit_error",
code: "rate_limited",
},
}),
{
status: 429,
headers: { "Content-Type": "application/json" },
}
);
}
if (result.toolCall) {
const tc = result.toolCall;
if (chunks.length === 0) {
chunks.push(
`data: ${JSON.stringify({
id: responseId,
object: "chat.completion.chunk",
created,
model,
choices: [
{
index: 0,
delta: { role: "assistant", content: "" },
finish_reason: null,
},
],
})}\n\n`
);
}
if (toolCallsMap.has(tc.id)) {
const existing = toolCallsMap.get(tc.id)!;
existing.function.arguments += tc.function.arguments;
existing.isLast = tc.isLast;
if (tc.function.arguments) {
chunks.push(
`data: ${JSON.stringify({
id: responseId,
object: "chat.completion.chunk",
created,
model,
choices: [
{
index: 0,
delta: {
tool_calls: [
{
index: existing.index,
id: tc.id,
type: "function",
function: {
name: tc.function.name,
arguments: tc.function.arguments,
},
},
],
},
finish_reason: null,
},
],
})}\n\n`
);
}
} else {
const toolCallIndex = toolCalls.length;
toolCalls.push({ ...tc, index: toolCallIndex });
toolCallsMap.set(tc.id, { ...tc, index: toolCallIndex });
chunks.push(
`data: ${JSON.stringify({
id: responseId,
object: "chat.completion.chunk",
created,
model,
choices: [
{
index: 0,
delta: {
tool_calls: [
{
index: toolCallIndex,
id: tc.id,
type: "function",
function: {
name: tc.function.name,
arguments: tc.function.arguments,
},
},
],
},
finish_reason: null,
},
],
})}\n\n`
);
}
}
if (result.text) {
totalContent += result.text;
chunks.push(
`data: ${JSON.stringify({
id: responseId,
object: "chat.completion.chunk",
created,
model,
choices: [
{
index: 0,
delta:
chunks.length === 0 && toolCalls.length === 0
? { role: "assistant", content: result.text }
: { content: result.text },
finish_reason: null,
},
],
})}\n\n`
);
}
}
if (chunks.length === 0 && toolCalls.length === 0) {
chunks.push(
`data: ${JSON.stringify({
id: responseId,
object: "chat.completion.chunk",
created,
model,
choices: [
{
index: 0,
delta: { role: "assistant", content: "" },
finish_reason: null,
},
],
})}\n\n`
);
}
chunks.push(
`data: ${JSON.stringify({
id: responseId,
object: "chat.completion.chunk",
created,
model,
choices: [
{
index: 0,
delta: {},
finish_reason: toolCalls.length > 0 ? "tool_calls" : "stop",
},
],
usage: {
prompt_tokens: 0,
completion_tokens: 0,
total_tokens: 0,
},
})}\n\n`
);
chunks.push("data: [DONE]\n\n");
return new Response(chunks.join(""), {
status: 200,
headers: {
"Content-Type": "text/event-stream",
"Cache-Control": "no-cache",
Connection: "keep-alive",
},
});
}
}
export default CursorExecutor;
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/**
* Cursor Protobuf Decoder
* Implements ConnectRPC protobuf wire format decoding
*/
import * as zlib from "zlib";
import {
WIRE_TYPE,
FIELD,
type WireType,
} from "./cursor-protobuf-schema.js";
/**
* Decode a varint from buffer
* Returns [value, newOffset]
*/
export function decodeVarint(
buffer: Uint8Array,
offset: number
): [number, number] {
let result = 0;
let shift = 0;
let pos = offset;
while (pos < buffer.length) {
const b = buffer[pos];
result |= (b & 0x7f) << shift;
pos++;
if (!(b & 0x80)) break;
shift += 7;
}
return [result, pos];
}
/**
* Decode a single protobuf field
* Returns [fieldNum, wireType, value, newOffset]
*/
export function decodeField(
buffer: Uint8Array,
offset: number
): [number | null, WireType | null, Uint8Array | number | null, number] {
if (offset >= buffer.length) {
return [null, null, null, offset];
}
const [tag, pos1] = decodeVarint(buffer, offset);
const fieldNum = tag >> 3;
const wireType = (tag & 0x07) as WireType;
let value: Uint8Array | number | null;
let pos = pos1;
if (wireType === WIRE_TYPE.VARINT) {
[value, pos] = decodeVarint(buffer, pos);
} else if (wireType === WIRE_TYPE.LEN) {
const [length, pos2] = decodeVarint(buffer, pos);
value = buffer.slice(pos2, pos2 + length);
pos = pos2 + length;
} else if (wireType === WIRE_TYPE.FIXED64) {
value = buffer.slice(pos, pos + 8);
pos += 8;
} else if (wireType === WIRE_TYPE.FIXED32) {
value = buffer.slice(pos, pos + 4);
pos += 4;
} else {
value = null;
}
return [fieldNum, wireType, value, pos];
}
/**
* Decode a protobuf message into a map of fields
*/
export function decodeMessage(
data: Uint8Array
): Map<number, Array<{ wireType: WireType; value: Uint8Array | number }>> {
const fields = new Map<
number,
Array<{ wireType: WireType; value: Uint8Array | number }>
>();
let pos = 0;
while (pos < data.length) {
const [fieldNum, wireType, value, newPos] = decodeField(data, pos);
if (fieldNum === null || wireType === null || value === null) break;
if (!fields.has(fieldNum)) {
fields.set(fieldNum, []);
}
fields.get(fieldNum)!.push({ wireType, value: value as Uint8Array | number });
pos = newPos;
}
return fields;
}
/**
* Parse ConnectRPC frame from buffer
* Returns frame data or null if incomplete
*/
export function parseConnectRPCFrame(buffer: Buffer): {
flags: number;
length: number;
payload: Uint8Array;
consumed: number;
} | null {
if (buffer.length < 5) return null;
const flags = buffer[0];
const length =
(buffer[1] << 24) | (buffer[2] << 16) | (buffer[3] << 8) | buffer[4];
if (buffer.length < 5 + length) return null;
let payload = buffer.slice(5, 5 + length);
// Decompress if gzip
if (flags === 0x01 || flags === 0x02 || flags === 0x03) {
try {
payload = Buffer.from(zlib.gunzipSync(payload));
} catch {
// Decompression failed, use raw payload
}
}
return {
flags,
length,
payload: new Uint8Array(payload),
consumed: 5 + length,
};
}
/**
* Extract tool call from protobuf data
*/
function extractToolCall(toolCallData: Uint8Array): {
id: string;
type: string;
function: { name: string; arguments: string };
isLast: boolean;
} | null {
const toolCall = decodeMessage(toolCallData);
let toolCallId = "";
let toolName = "";
let rawArgs = "";
let isLast = false;
// Extract tool call ID
if (toolCall.has(FIELD.TOOL_ID)) {
const fullId = new TextDecoder().decode(
toolCall.get(FIELD.TOOL_ID)![0].value as Uint8Array
);
toolCallId = fullId.split("\n")[0]; // Take first line
}
// Extract tool name
if (toolCall.has(FIELD.TOOL_NAME)) {
toolName = new TextDecoder().decode(
toolCall.get(FIELD.TOOL_NAME)![0].value as Uint8Array
);
}
// Extract is_last flag
if (toolCall.has(FIELD.TOOL_IS_LAST)) {
isLast = (toolCall.get(FIELD.TOOL_IS_LAST)![0].value as number) !== 0;
}
// Extract MCP params - nested real tool info
if (toolCall.has(FIELD.TOOL_MCP_PARAMS)) {
try {
const mcpParams = decodeMessage(
toolCall.get(FIELD.TOOL_MCP_PARAMS)![0].value as Uint8Array
);
if (mcpParams.has(FIELD.MCP_TOOLS_LIST)) {
const tool = decodeMessage(
mcpParams.get(FIELD.MCP_TOOLS_LIST)![0].value as Uint8Array
);
if (tool.has(FIELD.MCP_NESTED_NAME)) {
toolName = new TextDecoder().decode(
tool.get(FIELD.MCP_NESTED_NAME)![0].value as Uint8Array
);
}
if (tool.has(FIELD.MCP_NESTED_PARAMS)) {
rawArgs = new TextDecoder().decode(
tool.get(FIELD.MCP_NESTED_PARAMS)![0].value as Uint8Array
);
}
}
} catch {
// MCP parse error, continue
}
}
// Fallback to raw_args
if (!rawArgs && toolCall.has(FIELD.TOOL_RAW_ARGS)) {
rawArgs = new TextDecoder().decode(
toolCall.get(FIELD.TOOL_RAW_ARGS)![0].value as Uint8Array
);
}
if (toolCallId && toolName) {
return {
id: toolCallId,
type: "function",
function: {
name: toolName,
arguments: rawArgs || "{}",
},
isLast,
};
}
return null;
}
/**
* Extract text and thinking from response data
*/
function extractTextAndThinking(
responseData: Uint8Array
): { text: string | null; thinking: string | null } {
const nested = decodeMessage(responseData);
let text: string | null = null;
let thinking: string | null = null;
// Extract text
if (nested.has(FIELD.RESPONSE_TEXT)) {
text = new TextDecoder().decode(
nested.get(FIELD.RESPONSE_TEXT)![0].value as Uint8Array
);
}
// Extract thinking
if (nested.has(FIELD.THINKING)) {
try {
const thinkingMsg = decodeMessage(
nested.get(FIELD.THINKING)![0].value as Uint8Array
);
if (thinkingMsg.has(FIELD.THINKING_TEXT)) {
thinking = new TextDecoder().decode(
thinkingMsg.get(FIELD.THINKING_TEXT)![0].value as Uint8Array
);
}
} catch {
// Thinking parse error, continue
}
}
return { text, thinking };
}
/**
* Extract text and tool calls from response payload
*/
export function extractTextFromResponse(payload: Uint8Array): {
text: string | null;
error: string | null;
toolCall: {
id: string;
type: string;
function: { name: string; arguments: string };
isLast: boolean;
} | null;
thinking: string | null;
} {
try {
const fields = decodeMessage(payload);
// Field 1: ClientSideToolV2Call
if (fields.has(FIELD.TOOL_CALL)) {
const toolCall = extractToolCall(
fields.get(FIELD.TOOL_CALL)![0].value as Uint8Array
);
if (toolCall) {
return { text: null, error: null, toolCall, thinking: null };
}
}
// Field 2: StreamUnifiedChatResponse
if (fields.has(FIELD.RESPONSE)) {
const { text, thinking } = extractTextAndThinking(
fields.get(FIELD.RESPONSE)![0].value as Uint8Array
);
if (text || thinking) {
return { text, error: null, toolCall: null, thinking };
}
}
return { text: null, error: null, toolCall: null, thinking: null };
} catch {
return { text: null, error: null, toolCall: null, thinking: null };
}
}
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/**
* Cursor Protobuf Encoder
* Implements ConnectRPC protobuf wire format encoding
*/
import { randomUUID } from "crypto";
import * as zlib from "zlib";
import {
WIRE_TYPE,
ROLE,
UNIFIED_MODE,
THINKING_LEVEL,
FIELD,
COMPRESS_FLAG,
type WireType,
type RoleType,
type ThinkingLevelType,
type CursorTool,
type CursorToolResult,
type CursorMessage,
type FormattedMessage,
type MessageId,
} from "./cursor-protobuf-schema.js";
/**
* Encode a varint (variable-length integer)
*/
export function encodeVarint(value: number): Uint8Array {
const bytes: number[] = [];
let val = value >>> 0; // Ensure unsigned
while (val >= 0x80) {
bytes.push((val & 0x7f) | 0x80);
val >>>= 7;
}
bytes.push(val & 0x7f);
return new Uint8Array(bytes);
}
/**
* Encode a protobuf field (tag + value)
*/
export function encodeField(
fieldNum: number,
wireType: WireType,
value: number | string | Uint8Array
): Uint8Array {
const tag = (fieldNum << 3) | wireType;
const tagBytes = encodeVarint(tag);
if (wireType === WIRE_TYPE.VARINT) {
const valueBytes = encodeVarint(value as number);
return concatArrays(tagBytes, valueBytes);
}
if (wireType === WIRE_TYPE.LEN) {
const dataBytes =
typeof value === "string"
? new TextEncoder().encode(value)
: value instanceof Uint8Array
? value
: new Uint8Array(0);
const lengthBytes = encodeVarint(dataBytes.length);
return concatArrays(tagBytes, lengthBytes, dataBytes);
}
return new Uint8Array(0);
}
/**
* Concatenate multiple Uint8Arrays
*/
function concatArrays(...arrays: Uint8Array[]): Uint8Array {
const totalLength = arrays.reduce((sum, arr) => sum + arr.length, 0);
const result = new Uint8Array(totalLength);
let offset = 0;
for (const arr of arrays) {
result.set(arr, offset);
offset += arr.length;
}
return result;
}
/**
* Encode a tool result
*/
export function encodeToolResult(toolResult: CursorToolResult): Uint8Array {
const toolCallId = toolResult.tool_call_id || "";
const toolName = toolResult.name || "";
const toolIndex = toolResult.index || 0;
const rawArgs = toolResult.raw_args || "{}";
return concatArrays(
encodeField(FIELD.TOOL_RESULT_CALL_ID, WIRE_TYPE.LEN, toolCallId),
encodeField(FIELD.TOOL_RESULT_NAME, WIRE_TYPE.LEN, toolName),
encodeField(FIELD.TOOL_RESULT_INDEX, WIRE_TYPE.VARINT, toolIndex),
encodeField(FIELD.TOOL_RESULT_RAW_ARGS, WIRE_TYPE.LEN, rawArgs)
);
}
/**
* Encode a conversation message
*/
export function encodeMessage(
content: string,
role: RoleType,
messageId: string,
isLast: boolean,
hasTools: boolean,
toolResults: CursorToolResult[]
): Uint8Array {
return concatArrays(
encodeField(FIELD.MSG_CONTENT, WIRE_TYPE.LEN, content),
encodeField(FIELD.MSG_ROLE, WIRE_TYPE.VARINT, role),
encodeField(FIELD.MSG_ID, WIRE_TYPE.LEN, messageId),
...(toolResults.length > 0
? toolResults.map((tr) =>
encodeField(
FIELD.MSG_TOOL_RESULTS,
WIRE_TYPE.LEN,
encodeToolResult(tr)
)
)
: []),
encodeField(FIELD.MSG_IS_AGENTIC, WIRE_TYPE.VARINT, hasTools ? 1 : 0),
encodeField(
FIELD.MSG_UNIFIED_MODE,
WIRE_TYPE.VARINT,
hasTools ? UNIFIED_MODE.AGENT : UNIFIED_MODE.CHAT
),
...(isLast && hasTools
? [
encodeField(
FIELD.MSG_SUPPORTED_TOOLS,
WIRE_TYPE.LEN,
encodeVarint(1)
),
]
: [])
);
}
/**
* Encode instruction text
*/
export function encodeInstruction(text: string): Uint8Array {
return text
? encodeField(FIELD.INSTRUCTION_TEXT, WIRE_TYPE.LEN, text)
: new Uint8Array(0);
}
/**
* Encode model information
*/
export function encodeModel(modelName: string): Uint8Array {
return concatArrays(
encodeField(FIELD.MODEL_NAME, WIRE_TYPE.LEN, modelName),
encodeField(FIELD.MODEL_EMPTY, WIRE_TYPE.LEN, new Uint8Array(0))
);
}
/**
* Encode cursor settings
*/
export function encodeCursorSetting(): Uint8Array {
const unknown6 = concatArrays(
encodeField(FIELD.SETTING6_FIELD_1, WIRE_TYPE.LEN, new Uint8Array(0)),
encodeField(FIELD.SETTING6_FIELD_2, WIRE_TYPE.LEN, new Uint8Array(0))
);
return concatArrays(
encodeField(FIELD.SETTING_PATH, WIRE_TYPE.LEN, "cursor\\aisettings"),
encodeField(FIELD.SETTING_UNKNOWN_3, WIRE_TYPE.LEN, new Uint8Array(0)),
encodeField(FIELD.SETTING_UNKNOWN_6, WIRE_TYPE.LEN, unknown6),
encodeField(FIELD.SETTING_UNKNOWN_8, WIRE_TYPE.VARINT, 1),
encodeField(FIELD.SETTING_UNKNOWN_9, WIRE_TYPE.VARINT, 1)
);
}
/**
* Encode metadata
*/
export function encodeMetadata(): Uint8Array {
return concatArrays(
encodeField(FIELD.META_PLATFORM, WIRE_TYPE.LEN, process.platform || "linux"),
encodeField(FIELD.META_ARCH, WIRE_TYPE.LEN, process.arch || "x64"),
encodeField(FIELD.META_VERSION, WIRE_TYPE.LEN, process.version || "v20.0.0"),
encodeField(FIELD.META_CWD, WIRE_TYPE.LEN, process.cwd() || "/"),
encodeField(FIELD.META_TIMESTAMP, WIRE_TYPE.LEN, new Date().toISOString())
);
}
/**
* Encode message ID
*/
export function encodeMessageId(
messageId: string,
role: RoleType,
summaryId?: string
): Uint8Array {
return concatArrays(
encodeField(FIELD.MSGID_ID, WIRE_TYPE.LEN, messageId),
...(summaryId
? [encodeField(FIELD.MSGID_SUMMARY, WIRE_TYPE.LEN, summaryId)]
: []),
encodeField(FIELD.MSGID_ROLE, WIRE_TYPE.VARINT, role)
);
}
/**
* Encode MCP tool
*/
export function encodeMcpTool(tool: CursorTool): Uint8Array {
const toolName = tool.function?.name || tool.name || "";
const toolDesc = tool.function?.description || tool.description || "";
const inputSchema = tool.function?.parameters || tool.input_schema || {};
return concatArrays(
...(toolName
? [encodeField(FIELD.MCP_TOOL_NAME, WIRE_TYPE.LEN, toolName)]
: []),
...(toolDesc
? [encodeField(FIELD.MCP_TOOL_DESC, WIRE_TYPE.LEN, toolDesc)]
: []),
...(Object.keys(inputSchema).length > 0
? [
encodeField(
FIELD.MCP_TOOL_PARAMS,
WIRE_TYPE.LEN,
JSON.stringify(inputSchema)
),
]
: []),
encodeField(FIELD.MCP_TOOL_SERVER, WIRE_TYPE.LEN, "custom")
);
}
/**
* Wrap payload in ConnectRPC frame (5-byte header + payload)
*/
export function wrapConnectRPCFrame(
payload: Uint8Array,
compress = false
): Uint8Array {
let finalPayload = payload;
let flags: number = COMPRESS_FLAG.NONE;
if (compress) {
finalPayload = new Uint8Array(zlib.gzipSync(Buffer.from(payload)));
flags = COMPRESS_FLAG.GZIP;
}
const frame = new Uint8Array(5 + finalPayload.length);
frame[0] = flags;
frame[1] = (finalPayload.length >> 24) & 0xff;
frame[2] = (finalPayload.length >> 16) & 0xff;
frame[3] = (finalPayload.length >> 8) & 0xff;
frame[4] = finalPayload.length & 0xff;
frame.set(finalPayload, 5);
return frame;
}
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/**
* Cursor Protobuf Schema Constants
* Field definitions and wire types for ConnectRPC protocol
*/
/** Wire types for protobuf encoding */
export const WIRE_TYPE = {
VARINT: 0,
FIXED64: 1,
LEN: 2,
FIXED32: 5,
} as const;
/** Message role constants */
export const ROLE = {
USER: 1,
ASSISTANT: 2,
} as const;
/** Unified mode constants */
export const UNIFIED_MODE = {
CHAT: 1,
AGENT: 2,
} as const;
/** Thinking level constants */
export const THINKING_LEVEL = {
UNSPECIFIED: 0,
MEDIUM: 1,
HIGH: 2,
} as const;
/** Field numbers for all protobuf messages */
export const FIELD = {
// StreamUnifiedChatRequestWithTools (top level)
REQUEST: 1,
// StreamUnifiedChatRequest
MESSAGES: 1,
UNKNOWN_2: 2,
INSTRUCTION: 3,
UNKNOWN_4: 4,
MODEL: 5,
WEB_TOOL: 8,
UNKNOWN_13: 13,
CURSOR_SETTING: 15,
UNKNOWN_19: 19,
CONVERSATION_ID: 23,
METADATA: 26,
IS_AGENTIC: 27,
SUPPORTED_TOOLS: 29,
MESSAGE_IDS: 30,
MCP_TOOLS: 34,
LARGE_CONTEXT: 35,
UNKNOWN_38: 38,
UNIFIED_MODE: 46,
UNKNOWN_47: 47,
SHOULD_DISABLE_TOOLS: 48,
THINKING_LEVEL: 49,
UNKNOWN_51: 51,
UNKNOWN_53: 53,
UNIFIED_MODE_NAME: 54,
// ConversationMessage
MSG_CONTENT: 1,
MSG_ROLE: 2,
MSG_ID: 13,
MSG_TOOL_RESULTS: 18,
MSG_IS_AGENTIC: 29,
MSG_UNIFIED_MODE: 47,
MSG_SUPPORTED_TOOLS: 51,
// ConversationMessage.ToolResult
TOOL_RESULT_CALL_ID: 1,
TOOL_RESULT_NAME: 2,
TOOL_RESULT_INDEX: 3,
TOOL_RESULT_RAW_ARGS: 5,
TOOL_RESULT_RESULT: 8,
// Model
MODEL_NAME: 1,
MODEL_EMPTY: 4,
// Instruction
INSTRUCTION_TEXT: 1,
// CursorSetting
SETTING_PATH: 1,
SETTING_UNKNOWN_3: 3,
SETTING_UNKNOWN_6: 6,
SETTING_UNKNOWN_8: 8,
SETTING_UNKNOWN_9: 9,
// CursorSetting.Unknown6
SETTING6_FIELD_1: 1,
SETTING6_FIELD_2: 2,
// Metadata
META_PLATFORM: 1,
META_ARCH: 2,
META_VERSION: 3,
META_CWD: 4,
META_TIMESTAMP: 5,
// MessageId
MSGID_ID: 1,
MSGID_SUMMARY: 2,
MSGID_ROLE: 3,
// MCPTool
MCP_TOOL_NAME: 1,
MCP_TOOL_DESC: 2,
MCP_TOOL_PARAMS: 3,
MCP_TOOL_SERVER: 4,
// StreamUnifiedChatResponseWithTools (response)
TOOL_CALL: 1,
RESPONSE: 2,
// ClientSideToolV2Call
TOOL_ID: 3,
TOOL_NAME: 9,
TOOL_RAW_ARGS: 10,
TOOL_IS_LAST: 11,
TOOL_MCP_PARAMS: 27,
// MCPParams
MCP_TOOLS_LIST: 1,
// MCPParams.Tool (nested)
MCP_NESTED_NAME: 1,
MCP_NESTED_PARAMS: 3,
// StreamUnifiedChatResponse
RESPONSE_TEXT: 1,
THINKING: 25,
// Thinking
THINKING_TEXT: 1,
} as const;
/** Type definitions */
export type WireType = (typeof WIRE_TYPE)[keyof typeof WIRE_TYPE];
export type RoleType = (typeof ROLE)[keyof typeof ROLE];
export type UnifiedModeType = (typeof UNIFIED_MODE)[keyof typeof UNIFIED_MODE];
export type ThinkingLevelType =
(typeof THINKING_LEVEL)[keyof typeof THINKING_LEVEL];
export type FieldNumber = (typeof FIELD)[keyof typeof FIELD];
/** Cursor tool definition */
export interface CursorTool {
function?: {
name?: string;
description?: string;
parameters?: Record<string, unknown>;
};
name?: string;
description?: string;
input_schema?: Record<string, unknown>;
}
/** Cursor tool result */
export interface CursorToolResult {
tool_call_id?: string;
name?: string;
index?: number;
raw_args?: string;
}
/** Cursor message format */
export interface CursorMessage {
role: string;
content: string;
tool_results?: CursorToolResult[];
tool_calls?: Array<{
id: string;
type: string;
function: {
name: string;
arguments: string;
};
}>;
}
/** Formatted message for encoding */
export interface FormattedMessage {
content: string;
role: RoleType;
messageId: string;
isLast: boolean;
hasTools: boolean;
toolResults: CursorToolResult[];
}
/** Message ID structure */
export interface MessageId {
messageId: string;
role: RoleType;
}
/** Compression flags for ConnectRPC frames */
export const COMPRESS_FLAG = {
NONE: 0x00,
GZIP: 0x01,
} as const;
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/**
* Cursor Protobuf Main Module
* Exports encoder/decoder functions and builds complete requests
*/
import { randomUUID } from "crypto";
import {
ROLE,
UNIFIED_MODE,
THINKING_LEVEL,
FIELD,
type CursorMessage,
type CursorTool,
type FormattedMessage,
type MessageId,
type ThinkingLevelType,
} from "./cursor-protobuf-schema.js";
import {
encodeField,
encodeVarint,
encodeMessage,
encodeInstruction,
encodeModel,
encodeCursorSetting,
encodeMetadata,
encodeMessageId,
encodeMcpTool,
wrapConnectRPCFrame,
} from "./cursor-protobuf-encoder.js";
import {
decodeVarint,
decodeField,
decodeMessage,
parseConnectRPCFrame,
extractTextFromResponse,
} from "./cursor-protobuf-decoder.js";
import { WIRE_TYPE } from "./cursor-protobuf-schema.js";
/**
* Build complete chat request protobuf
*/
export function encodeRequest(
messages: CursorMessage[],
modelName: string,
tools: CursorTool[] = [],
reasoningEffort: string | null = null
): Uint8Array {
const hasTools = tools?.length > 0;
const isAgentic = hasTools;
const formattedMessages: FormattedMessage[] = [];
const messageIds: MessageId[] = [];
// Prepare messages
for (let i = 0; i < messages.length; i++) {
const msg = messages[i];
const role = msg.role === "user" ? ROLE.USER : ROLE.ASSISTANT;
const msgId = randomUUID();
const isLast = i === messages.length - 1;
formattedMessages.push({
content: msg.content,
role,
messageId: msgId,
isLast,
hasTools,
toolResults: msg.tool_results || [],
});
messageIds.push({ messageId: msgId, role });
}
// Map reasoning effort to thinking level
let thinkingLevel: ThinkingLevelType = THINKING_LEVEL.UNSPECIFIED;
if (reasoningEffort === "medium") thinkingLevel = THINKING_LEVEL.MEDIUM;
else if (reasoningEffort === "high") thinkingLevel = THINKING_LEVEL.HIGH;
// Build arrays for messages and tools
const messageFields = formattedMessages.map((fm) =>
encodeField(
FIELD.MESSAGES,
WIRE_TYPE.LEN,
encodeMessage(
fm.content,
fm.role,
fm.messageId,
fm.isLast,
fm.hasTools,
fm.toolResults
)
)
);
const messageIdFields = messageIds.map((mid) =>
encodeField(
FIELD.MESSAGE_IDS,
WIRE_TYPE.LEN,
encodeMessageId(mid.messageId, mid.role)
)
);
const toolFields =
tools?.length > 0
? tools.map((tool) =>
encodeField(FIELD.MCP_TOOLS, WIRE_TYPE.LEN, encodeMcpTool(tool))
)
: [];
const supportedToolsField = isAgentic
? [encodeField(FIELD.SUPPORTED_TOOLS, WIRE_TYPE.LEN, encodeVarint(1))]
: [];
// Concatenate all parts
const parts: Uint8Array[] = [
...messageFields,
encodeField(FIELD.UNKNOWN_2, WIRE_TYPE.VARINT, 1),
encodeField(FIELD.INSTRUCTION, WIRE_TYPE.LEN, encodeInstruction("")),
encodeField(FIELD.UNKNOWN_4, WIRE_TYPE.VARINT, 1),
encodeField(FIELD.MODEL, WIRE_TYPE.LEN, encodeModel(modelName)),
encodeField(FIELD.WEB_TOOL, WIRE_TYPE.LEN, ""),
encodeField(FIELD.UNKNOWN_13, WIRE_TYPE.VARINT, 1),
encodeField(FIELD.CURSOR_SETTING, WIRE_TYPE.LEN, encodeCursorSetting()),
encodeField(FIELD.UNKNOWN_19, WIRE_TYPE.VARINT, 1),
encodeField(FIELD.CONVERSATION_ID, WIRE_TYPE.LEN, randomUUID()),
encodeField(FIELD.METADATA, WIRE_TYPE.LEN, encodeMetadata()),
encodeField(FIELD.IS_AGENTIC, WIRE_TYPE.VARINT, isAgentic ? 1 : 0),
...supportedToolsField,
...messageIdFields,
...toolFields,
encodeField(FIELD.LARGE_CONTEXT, WIRE_TYPE.VARINT, 0),
encodeField(FIELD.UNKNOWN_38, WIRE_TYPE.VARINT, 0),
encodeField(
FIELD.UNIFIED_MODE,
WIRE_TYPE.VARINT,
isAgentic ? UNIFIED_MODE.AGENT : UNIFIED_MODE.CHAT
),
encodeField(FIELD.UNKNOWN_47, WIRE_TYPE.LEN, ""),
encodeField(FIELD.SHOULD_DISABLE_TOOLS, WIRE_TYPE.VARINT, isAgentic ? 0 : 1),
encodeField(FIELD.THINKING_LEVEL, WIRE_TYPE.VARINT, thinkingLevel),
encodeField(FIELD.UNKNOWN_51, WIRE_TYPE.VARINT, 0),
encodeField(FIELD.UNKNOWN_53, WIRE_TYPE.VARINT, 1),
encodeField(
FIELD.UNIFIED_MODE_NAME,
WIRE_TYPE.LEN,
isAgentic ? "Agent" : "Ask"
),
];
return concatArrays(...parts);
}
/**
* Build chat request wrapped in top-level message
*/
export function buildChatRequest(
messages: CursorMessage[],
modelName: string,
tools: CursorTool[] = [],
reasoningEffort: string | null = null
): Uint8Array {
return encodeField(
FIELD.REQUEST,
WIRE_TYPE.LEN,
encodeRequest(messages, modelName, tools, reasoningEffort)
);
}
/**
* Generate complete Cursor request body with ConnectRPC framing
*/
export function generateCursorBody(
messages: CursorMessage[],
modelName: string,
tools: CursorTool[] = [],
reasoningEffort: string | null = null
): Uint8Array {
const protobuf = buildChatRequest(messages, modelName, tools, reasoningEffort);
const framed = wrapConnectRPCFrame(protobuf, false); // Cursor doesn't support compressed requests
return framed;
}
/**
* Concatenate multiple Uint8Arrays
*/
function concatArrays(...arrays: Uint8Array[]): Uint8Array {
const totalLength = arrays.reduce((sum, arr) => sum + arr.length, 0);
const result = new Uint8Array(totalLength);
let offset = 0;
for (const arr of arrays) {
result.set(arr, offset);
offset += arr.length;
}
return result;
}
// Re-export all functions
export {
encodeVarint,
encodeField,
encodeMessage,
encodeInstruction,
encodeModel,
encodeCursorSetting,
encodeMetadata,
encodeMessageId,
encodeMcpTool,
wrapConnectRPCFrame,
decodeVarint,
decodeField,
decodeMessage,
parseConnectRPCFrame,
extractTextFromResponse,
};
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/**
* OpenAI to Cursor Request Translator
* Converts OpenAI messages to Cursor format
*/
import type {
CursorMessage,
CursorToolResult,
CursorTool,
} from "./cursor-protobuf-schema.js";
/** OpenAI message format */
interface OpenAIMessage {
role: string;
content: string | Array<{ type: string; text?: string }>;
name?: string;
tool_call_id?: string;
tool_calls?: Array<{
id: string;
type: string;
function: { name: string; arguments: string };
}>;
}
/** OpenAI request body */
interface OpenAIRequestBody {
messages: OpenAIMessage[];
tools?: CursorTool[];
reasoning_effort?: string;
}
/**
* Convert OpenAI messages to Cursor format with native tool_results support
* - system → user with [System Instructions] prefix
* - tool → accumulate into tool_results array for next user/assistant message
* - assistant with tool_calls → keep tool_calls structure (Cursor supports it natively)
*/
function convertMessages(messages: OpenAIMessage[]): CursorMessage[] {
const result: CursorMessage[] = [];
let pendingToolResults: CursorToolResult[] = [];
for (let i = 0; i < messages.length; i++) {
const msg = messages[i];
if (msg.role === "system") {
result.push({
role: "user",
content: `[System Instructions]\n${msg.content}`,
});
continue;
}
if (msg.role === "tool") {
let toolContent = "";
if (typeof msg.content === "string") {
toolContent = msg.content;
} else if (Array.isArray(msg.content)) {
for (const part of msg.content) {
if (part.type === "text" && part.text) {
toolContent += part.text;
}
}
}
const toolName = msg.name || "tool";
const toolCallId = msg.tool_call_id || "";
// Accumulate tool result
pendingToolResults.push({
tool_call_id: toolCallId,
name: toolName,
index: pendingToolResults.length,
raw_args: toolContent,
});
continue;
}
if (msg.role === "user" || msg.role === "assistant") {
let content = "";
if (typeof msg.content === "string") {
content = msg.content;
} else if (Array.isArray(msg.content)) {
for (const part of msg.content) {
if (part.type === "text" && part.text) {
content += part.text;
}
}
}
// Keep tool_calls structure for assistant messages
if (msg.role === "assistant" && msg.tool_calls && msg.tool_calls.length > 0) {
const assistantMsg: CursorMessage = { role: "assistant", content: "" };
if (content) {
assistantMsg.content = content;
}
assistantMsg.tool_calls = msg.tool_calls;
// Attach pending tool results to assistant message with tool_calls
if (pendingToolResults.length > 0) {
assistantMsg.tool_results = pendingToolResults;
pendingToolResults = [];
}
result.push(assistantMsg);
} else if (content || pendingToolResults.length > 0) {
const msgObj: CursorMessage = {
role: msg.role,
content: content || "",
};
// Attach pending tool results to this message
if (pendingToolResults.length > 0) {
msgObj.tool_results = pendingToolResults;
pendingToolResults = [];
}
result.push(msgObj);
}
}
}
return result;
}
/**
* Transform OpenAI request to Cursor format
* Returns modified body with converted messages
*/
export function buildCursorRequest(
model: string,
body: OpenAIRequestBody,
stream: boolean,
credentials: unknown
): {
messages: CursorMessage[];
tools?: CursorTool[];
} {
const messages = convertMessages(body.messages || []);
return {
...body,
messages,
};
}