Files
OmniRoute/open-sse/executors/codex.ts
Diego Rodrigues de Sa e Souza f52df7b824 fix(codex): use allowlist to strip non-Responses-API fields in non-passthrough path (#2608) (#2615)
Integrated into release/v3.8.3 — fix(codex): allowlist-based sanitization for gpt-5.5 Responses API
2026-05-23 03:45:06 -03:00

1322 lines
48 KiB
TypeScript

import { getCodexRequestDefaults } from "@/lib/providers/requestDefaults";
import {
BaseExecutor,
mergeUpstreamExtraHeaders,
setUserAgentHeader,
type ExecutorLog,
type ExecuteInput,
type ProviderCredentials,
} from "./base.ts";
import {
CODEX_CHAT_DEFAULT_INSTRUCTIONS,
CODEX_DEFAULT_INSTRUCTIONS,
} from "../config/codexInstructions.ts";
import { PROVIDERS } from "../config/constants.ts";
import {
getCodexClientVersion,
getCodexUserAgent,
normalizeCodexSessionId,
} from "../config/codexClient.ts";
import {
applyCodexClientIdentityHeaders,
applyCodexClientMetadata,
createCodexClientIdentity,
type CodexClientIdentity,
} from "../config/codexIdentity.ts";
import { getAccessToken } from "../services/tokenRefresh.ts";
import { sanitizeResponsesInputItems } from "../services/responsesInputSanitizer.ts";
import { getThinkingBudgetConfig, ThinkingMode } from "../services/thinkingBudget.ts";
import { CORS_HEADERS } from "../utils/cors.ts";
import { createRequire } from "module";
// ─── wreq-js lazy loader ───────────────────────────────────────────────────
// wreq-js is a Rust-native module that requires platform-specific .node binaries.
// Loading it eagerly crashes the server when the binary is missing (pnpm, Docker
// Alpine, unsupported architectures). We lazy-load with try/catch to gracefully
// fall back to HTTP transport when the WebSocket transport is unavailable.
const _wreqRequire = createRequire(import.meta.url);
type WreqWebSocket = {
send: (data: string) => void;
close: (code?: number, reason?: string) => void;
onmessage: ((event: { data: unknown }) => void) | null;
onerror: ((event: { message?: string }) => void) | null;
onclose: (() => void) | null;
};
type WebsocketFn = (url: string, opts?: Record<string, unknown>) => Promise<WreqWebSocket>;
type ResponsesMessageInput = {
role?: unknown;
phase?: unknown;
content?: unknown;
};
let _websocketFn: WebsocketFn | null = null;
let _wreqChecked = false;
let _websocketOverride: WebsocketFn | null | undefined;
function getCodexWebSocketTransport(): WebsocketFn | null {
if (_websocketOverride !== undefined) return _websocketOverride;
if (_wreqChecked) return _websocketFn;
_wreqChecked = true;
try {
const mod = _wreqRequire("wreq-js") as { websocket?: WebsocketFn };
_websocketFn = typeof mod.websocket === "function" ? mod.websocket : null;
} catch {
console.warn("[codex] wreq-js import failed, websocket disabled");
_websocketFn = null;
}
return _websocketFn;
}
export function __setCodexWebSocketTransportForTesting(
websocket: WebsocketFn | null | undefined
): void {
_websocketOverride = websocket;
}
function codexWebSocketUnavailableResponse(): Response {
return new Response(
JSON.stringify({
error: {
code: "wreq_unavailable",
message:
"Codex WebSocket transport unavailable: wreq-js native module is missing for this platform",
},
}),
{
status: 503,
headers: {
"Content-Type": "application/json",
...CORS_HEADERS,
},
}
);
}
// ─── T09: Codex vs Spark Scope-Aware Rate Limiting ────────────────────────
// Codex has two independent quota pools: "codex" (standard) and "spark" (premium).
// Exhausting one should NOT block requests to the other.
// Ref: sub2api PR #1129 (feat(openai): split codex spark rate limiting from codex)
/**
* Maps model name substrings to their rate-limit scope.
* Checked in order — first match wins.
*/
const CODEX_SCOPE_PATTERNS: Array<{ pattern: string; scope: "codex" | "spark" }> = [
{ pattern: "codex-spark", scope: "spark" },
{ pattern: "spark", scope: "spark" },
{ pattern: "codex", scope: "codex" },
{ pattern: "gpt-5", scope: "codex" }, // gpt-5.2-codex, gpt-5.3-codex, etc.
];
/**
* T09: Determine the rate-limit scope for a Codex model.
* Use this key as the suffix for per-scope rate limit state:
* `${accountId}:${getModelScope(model)}`
*
* @param model - The Codex model ID (e.g. "gpt-5.3-codex", "codex-spark-mini")
* @returns "codex" | "spark"
*/
export function getCodexModelScope(model: string): "codex" | "spark" {
const lower = model.toLowerCase();
for (const { pattern, scope } of CODEX_SCOPE_PATTERNS) {
if (lower.includes(pattern)) return scope;
}
return "codex"; // default scope
}
/**
* T09: Get the scope-keyed rate limit identifier for an account+model combination.
* Use this as the key for rateLimitState maps to ensure scope isolation.
*/
export function getCodexRateLimitKey(accountId: string, model: string): string {
return `${accountId}:${getCodexModelScope(model)}`;
}
/**
* T03: Parsed quota snapshot from Codex response headers.
* Codex includes per-account usage windows that allow precise reset scheduling.
* Ref: sub2api PR #357 (feat(oauth): persist usage snapshots and window cooldown)
*/
export interface CodexQuotaSnapshot {
usage5h: number; // tokens used in 5h window
limit5h: number; // token limit for 5h window
resetAt5h: string | null; // ISO timestamp when 5h window resets
usage7d: number; // tokens used in 7d window
limit7d: number; // token limit for 7d window
resetAt7d: string | null; // ISO timestamp when 7d window resets
}
/**
* T03: Parse Codex-specific quota headers from a provider response.
* Returns null if none of the relevant headers are present.
*
* Extracts:
* x-codex-5h-usage / x-codex-5h-limit / x-codex-5h-reset-at
* x-codex-7d-usage / x-codex-7d-limit / x-codex-7d-reset-at
*/
export function parseCodexQuotaHeaders(headers: Headers): CodexQuotaSnapshot | null {
const usage5h = headers.get("x-codex-5h-usage");
const limit5h = headers.get("x-codex-5h-limit");
const resetAt5h = headers.get("x-codex-5h-reset-at");
const usage7d = headers.get("x-codex-7d-usage");
const limit7d = headers.get("x-codex-7d-limit");
const resetAt7d = headers.get("x-codex-7d-reset-at");
// Return null if none of the quota headers are present (not a quota-aware response)
if (!usage5h && !limit5h && !resetAt5h && !usage7d && !limit7d && !resetAt7d) {
return null;
}
return {
usage5h: usage5h ? parseFloat(usage5h) : 0,
limit5h: limit5h ? parseFloat(limit5h) : Infinity,
resetAt5h: resetAt5h ?? null,
usage7d: usage7d ? parseFloat(usage7d) : 0,
limit7d: limit7d ? parseFloat(limit7d) : Infinity,
resetAt7d: resetAt7d ?? null,
};
}
/**
* T03: Get the soonest quota reset time from a CodexQuotaSnapshot.
* 7d window takes priority (wider window, harder limit) but we use whichever
* is further in the future to avoid releasing the block too early.
*
* @returns Unix timestamp (ms) of the soonest effective reset, or null
*/
export function getCodexResetTime(quota: CodexQuotaSnapshot): number | null {
const times: number[] = [];
if (quota.resetAt7d) {
const t = new Date(quota.resetAt7d).getTime();
if (!isNaN(t) && t > Date.now()) times.push(t);
}
if (quota.resetAt5h) {
const t = new Date(quota.resetAt5h).getTime();
if (!isNaN(t) && t > Date.now()) times.push(t);
}
if (times.length === 0) return null;
return Math.max(...times); // Use furthest-out reset to avoid premature unblock
}
/**
* T03 (Item 3): Compute the minimum-necessary cooldown based on which window
* is actually exhausted. Prevents over-blocking the account:
*
* - If 7d window >= threshold: cooldown until 7d reset (weekly window exhausted)
* - If 5h window >= threshold: cooldown until 5h reset only (short-term limit)
* - Otherwise: 0 (account is healthy, no cooldown needed)
*
* Called after parsing quota headers from a successful/429 response to
* mark the account accordingly without overly long cooldowns.
*
* @param quota - Parsed quota snapshot from response headers
* @param threshold - Fraction (0-1) that triggers cooldown (default: 0.95)
* @returns Cooldown duration in milliseconds (0 = no cooldown needed)
*/
export function getCodexDualWindowCooldownMs(
quota: CodexQuotaSnapshot,
threshold = 0.95
): { cooldownMs: number; window: "7d" | "5h" | "none" } {
const now = Date.now();
// Compute per-window usage ratios (0..1)
const ratio7d =
quota.limit7d > 0 && Number.isFinite(quota.limit7d) ? quota.usage7d / quota.limit7d : 0;
const ratio5h =
quota.limit5h > 0 && Number.isFinite(quota.limit5h) ? quota.usage5h / quota.limit5h : 0;
// 7d window takes priority — if the weekly budget is near-exhausted,
// we must wait until the weekly reset (not just 5h).
if (ratio7d >= threshold && quota.resetAt7d) {
const resetTime = new Date(quota.resetAt7d).getTime();
if (resetTime > now) {
return { cooldownMs: resetTime - now, window: "7d" };
}
}
// 5h window (primary short-term rate limit)
if (ratio5h >= threshold && quota.resetAt5h) {
const resetTime = new Date(quota.resetAt5h).getTime();
if (resetTime > now) {
return { cooldownMs: resetTime - now, window: "5h" };
}
}
return { cooldownMs: 0, window: "none" };
}
// Ordered list of effort levels from lowest to highest
const EFFORT_ORDER = ["none", "low", "medium", "high", "xhigh"] as const;
type EffortLevel = (typeof EFFORT_ORDER)[number];
const CODEX_FAST_WIRE_VALUE = "priority";
const CODEX_RESPONSES_WS_URL = "wss://chatgpt.com/backend-api/codex/responses";
function splitCodexReasoningSuffix(model: unknown): {
baseModel: string;
effort: EffortLevel | null;
} {
const modelId = typeof model === "string" ? model : "";
for (const level of EFFORT_ORDER) {
if (modelId.endsWith(`-${level}`)) {
return {
baseModel: modelId.slice(0, -`-${level}`.length),
effort: level,
};
}
}
return { baseModel: modelId, effort: null };
}
export function getCodexUpstreamModel(model: unknown): string {
return splitCodexReasoningSuffix(model).baseModel;
}
/**
* Convert role=system messages in `input` to role=developer.
*
* GPT-5 models support the `developer` role in input, but reject `system`.
* This keeps the content inside
* the `input` array where it benefits from OpenAI's automatic prompt caching.
*
* OpenAI's prompt caching matches on the serialized prefix of the `input` array
* (+ tools). The `instructions` field is NOT included in the cache key for
* GPT-5 models. Moving system prompts from `input` to `instructions` therefore
* removes them from the cacheable prefix, resulting in 0% cache hit rates.
*
* Ref: https://community.openai.com/t/caching-is-borked-for-gpt-5-models/1359574
* Ref: https://community.openai.com/t/no-caching-with-model-responses/1338627
*/
function convertSystemToDeveloperRole(body: Record<string, unknown>): void {
if (!Array.isArray(body.input)) return;
for (const itemValue of body.input) {
if (!itemValue || typeof itemValue !== "object" || Array.isArray(itemValue)) {
continue;
}
const item = itemValue as Record<string, unknown>;
const role = typeof item.role === "string" ? item.role : "";
const type = typeof item.type === "string" ? item.type : "";
const isSystemMessage = role === "system" && (!type || type === "message");
if (isSystemMessage) {
item.role = "developer";
}
}
}
/**
* Strip server-generated item IDs from the input array.
*
* The Codex /codex/responses endpoint does not persist response items even when
* store=true is sent. When proxy clients (e.g. OpenClaw) include response items
* from previous turns in the input array, those items carry server-assigned IDs
* (prefixed with "rs_", "fc_", "resp_", "msg_"). The Codex backend tries to
* validate these IDs against its persistence store and returns 404 when the items
* are not found (because store was effectively false).
*
* This function:
* 1. Removes bare string references ("rs_abc123") from the input array
* 2. Removes object items with type "item_reference" (explicit stored-item refs)
* 3. Strips the "id" field from any object in input whose id matches a
* server-generated prefix (rs_, fc_, resp_, msg_) — so the content is
* preserved but the backend won't try to look it up
*/
function stripStoredItemReferences(body: Record<string, unknown>): void {
if (Array.isArray(body.input) && body.input.length === 0) {
body.input = [
{
type: "message",
role: "user",
content: [{ type: "input_text", text: "continue" }],
},
];
}
if (!Array.isArray(body.input)) return;
const SERVER_ID_PATTERN = /^(rs|fc|resp|msg)_/;
let strippedCount = 0;
body.input = body.input.filter((item) => {
// Bare string references: "rs_abc123", "resp_abc123"
if (typeof item === "string" && SERVER_ID_PATTERN.test(item)) {
strippedCount++;
return false;
}
// Object references: { type: "item_reference", id: "rs_..." }
if (
item &&
typeof item === "object" &&
!Array.isArray(item) &&
(item as Record<string, unknown>).type === "item_reference"
) {
strippedCount++;
return false;
}
// Object items with server-generated IDs: strip the id field but keep the item.
// e.g. { id: "rs_...", type: "reasoning", summary: [...] } → keep content, remove id
// e.g. { id: "fc_...", type: "function_call", ... } → keep content, remove id
if (item && typeof item === "object" && !Array.isArray(item)) {
const record = item as Record<string, unknown>;
if (typeof record.id === "string" && SERVER_ID_PATTERN.test(record.id)) {
delete record.id;
strippedCount++;
}
}
return true;
});
if (strippedCount > 0) {
console.debug(
`[Codex] stripStoredItemReferences: sanitized ${strippedCount} server-generated ID(s) from input`
);
}
}
// Responses-API hosted tool types that OpenAI/Codex executes server-side.
// These arrive shaped as `{ type, ...params }` with no `function` object and no `name` —
// e.g. Codex CLI injects `{ type: "image_generation", output_format: "png" }` or
// `{ type: "namespace", name: "mcp__atlassian__", tools: [...] }` for MCP tool groups.
// Keep them through `normalizeCodexTools` so upstream can execute them.
const CODEX_HOSTED_TOOL_TYPES: ReadonlySet<string> = new Set([
"image_generation",
"web_search",
"web_search_preview",
"file_search",
"computer",
"computer_use_preview",
"code_interpreter",
"mcp",
"local_shell",
]);
function normalizeCodexTools(body: Record<string, unknown>): void {
if (!Array.isArray(body.tools)) return;
const validToolNames = new Set<string>();
body.tools = body.tools.filter((toolValue) => {
if (!toolValue || typeof toolValue !== "object" || Array.isArray(toolValue)) {
return false;
}
const tool = toolValue as Record<string, unknown>;
const toolType = typeof tool.type === "string" ? tool.type : "";
// Preserve namespace tools (MCP tool groups used by Codex/OpenAI Responses API).
// Codex API supports them natively; register sub-tool names for tool_choice validation.
if (toolType === "namespace") {
if (Array.isArray(tool.tools)) {
for (const st of tool.tools as unknown[]) {
if (st && typeof st === "object" && !Array.isArray(st)) {
const subTool = st as Record<string, unknown>;
const name = typeof subTool.name === "string" ? subTool.name.trim().slice(0, 128) : "";
if (name) validToolNames.add(name);
}
}
}
return true;
}
if (toolType !== "function") {
const hasFunctionObject = tool.function && typeof tool.function === "object";
const hasName = typeof tool.name === "string";
if (!toolType || hasFunctionObject || hasName) {
return false;
}
if (CODEX_HOSTED_TOOL_TYPES.has(toolType)) {
return true;
}
console.debug(`[Codex] dropping unknown hosted tool type: ${toolType}`);
return false;
}
const rawName =
typeof tool.name === "string"
? tool.name
: tool.function &&
typeof tool.function === "object" &&
!Array.isArray(tool.function) &&
typeof (tool.function as Record<string, unknown>).name === "string"
? ((tool.function as Record<string, unknown>).name as string)
: "";
const name = rawName.trim();
if (!name) {
return false;
}
// Codex Responses API requires function tools in flat Responses format:
// { type: "function", name, description, parameters }
// Some clients/translators send Chat Completions shape:
// { type: "function", function: { name, description, parameters } }
// which upstream rejects with "Missing required parameter: tools[0].name".
// Flatten the nested `function` wrapper into top-level fields (#1914).
const functionObject =
tool.function && typeof tool.function === "object" && !Array.isArray(tool.function)
? (tool.function as Record<string, unknown>)
: null;
const description =
typeof tool.description === "string"
? tool.description
: typeof functionObject?.description === "string"
? functionObject.description
: "";
const parameters =
tool.parameters && typeof tool.parameters === "object" && !Array.isArray(tool.parameters)
? tool.parameters
: functionObject?.parameters &&
typeof functionObject.parameters === "object" &&
!Array.isArray(functionObject.parameters)
? functionObject.parameters
: { type: "object", properties: {} };
// Rewrite in-place to Responses format
for (const key of Object.keys(tool)) {
delete tool[key];
}
tool.type = "function";
tool.name = name.slice(0, 128);
if (description) tool.description = description;
tool.parameters = parameters;
validToolNames.add(name);
return true;
});
if (
body.tool_choice &&
typeof body.tool_choice === "object" &&
!Array.isArray(body.tool_choice)
) {
const toolChoice = body.tool_choice as Record<string, unknown>;
if (toolChoice.type === "function") {
const rawName = typeof toolChoice.name === "string" ? toolChoice.name.trim() : "";
if (!rawName || !validToolNames.has(rawName)) {
delete body.tool_choice;
}
}
}
}
function getResponsesSubpath(endpointPath: unknown): string | null {
let normalizedEndpoint = String(endpointPath || "");
while (normalizedEndpoint.endsWith("/") && normalizedEndpoint.length > 0) {
normalizedEndpoint = normalizedEndpoint.slice(0, -1);
}
const lower = normalizedEndpoint.toLowerCase();
if (lower === "responses" || lower.endsWith("/responses")) {
return "";
}
const responsesSlash = "/responses/";
const idx = lower.lastIndexOf(responsesSlash);
if (idx !== -1) {
return normalizedEndpoint.slice(idx + "/responses".length);
}
if (lower.startsWith("responses/")) {
return normalizedEndpoint.slice("responses".length);
}
return null;
}
export function isCompactResponsesEndpoint(endpointPath: unknown): boolean {
return getResponsesSubpath(endpointPath)?.toLowerCase() === "/compact";
}
function normalizeServiceTierValue(value: unknown): string | undefined {
if (typeof value !== "string") return undefined;
const normalized = value.trim().toLowerCase();
if (!normalized) return undefined;
if (normalized === "fast") return CODEX_FAST_WIRE_VALUE;
return normalized;
}
/**
* Maximum reasoning effort allowed per Codex model.
* Models not listed here default to "xhigh" (unrestricted).
* Update this table when Codex releases new models with different caps.
*/
const MAX_EFFORT_BY_MODEL: Record<string, EffortLevel> = {
"gpt-5.3-codex": "xhigh",
"gpt-5.2-codex": "xhigh",
"gpt-5.1-codex-max": "xhigh",
"gpt-5-mini": "high",
"gpt-5.1-mini": "high",
"gpt-4.1-mini": "high",
};
/**
* Clamp reasoning effort to the model's maximum allowed level.
* Returns the original value if within limits, or the cap if it exceeds it.
*/
function clampEffort(model: string, requested: string): string {
const max: EffortLevel = MAX_EFFORT_BY_MODEL[model] ?? "xhigh";
const reqIdx = EFFORT_ORDER.indexOf(requested as EffortLevel);
const maxIdx = EFFORT_ORDER.indexOf(max);
if (reqIdx > maxIdx) {
console.debug(`[Codex] clampEffort: "${requested}" → "${max}" (model: ${model})`);
return max;
}
return requested;
}
function normalizeEffortValue(value: unknown): string | undefined {
if (typeof value !== "string") return undefined;
const normalized = value.trim().toLowerCase();
if (normalized === "max") return "xhigh";
return normalized || undefined;
}
function consumeResponsesStoreMarker(body: Record<string, unknown>): unknown {
const marker = body._omnirouteResponsesStore;
delete body._omnirouteResponsesStore;
return marker;
}
export function isCodexResponsesWebSocketRequired(_model: string, credentials: unknown): boolean {
// OmniRoute is an HTTP→SSE gateway — WebSocket transport is unnecessary and
// breaks when upstream requests go through an HTTP proxy (403 on WS upgrade).
// Default to the standard HTTP Responses SSE endpoint for all Codex models.
// Users who need WebSocket can opt in via the provider codexTransport setting.
const providerSpecificData =
credentials && typeof credentials === "object"
? (credentials as { providerSpecificData?: Record<string, unknown> }).providerSpecificData
: null;
return !!(providerSpecificData?.codexTransport === "websocket" && getCodexWebSocketTransport());
}
function toStatusCode(value: unknown): number | null {
if (typeof value === "number" && Number.isInteger(value) && value >= 400 && value <= 599) {
return value;
}
if (typeof value === "string" && /^\d{3}$/.test(value.trim())) {
const parsed = Number(value.trim());
return parsed >= 400 && parsed <= 599 ? parsed : null;
}
return null;
}
function looksLikeQuotaOrRateLimit(code: string, type: string, message: string): boolean {
const haystack = `${code} ${type} ${message}`.toLowerCase();
return (
haystack.includes("usage_limit_reached") ||
haystack.includes("rate_limit") ||
haystack.includes("rate limit") ||
haystack.includes("quota") ||
haystack.includes("too many requests") ||
haystack.includes("limit has been reached") ||
haystack.includes("limit reached")
);
}
function toCodexResponseFailedEvent(parsed: Record<string, unknown>): Record<string, unknown> {
const response =
parsed.response && typeof parsed.response === "object" && !Array.isArray(parsed.response)
? (parsed.response as Record<string, unknown>)
: null;
const upstreamError =
response?.error && typeof response.error === "object" && !Array.isArray(response.error)
? (response.error as Record<string, unknown>)
: parsed.error && typeof parsed.error === "object" && !Array.isArray(parsed.error)
? (parsed.error as Record<string, unknown>)
: parsed;
const code =
typeof upstreamError.code === "string"
? upstreamError.code
: typeof upstreamError.type === "string"
? upstreamError.type
: "upstream_error";
const type = typeof upstreamError.type === "string" ? upstreamError.type : "";
const message =
typeof upstreamError.message === "string" && upstreamError.message.trim()
? upstreamError.message
: "Codex upstream error";
const error: Record<string, unknown> = { code, message };
const explicitStatus =
toStatusCode(parsed.status_code) ??
toStatusCode(parsed.status) ??
toStatusCode(response?.status_code) ??
toStatusCode(response?.status) ??
toStatusCode(upstreamError.status_code) ??
toStatusCode(upstreamError.status);
const statusCode =
explicitStatus ?? (looksLikeQuotaOrRateLimit(code, type, message) ? 429 : null);
if (type) error.type = type;
if (statusCode !== null) error.status_code = statusCode;
return {
type: "response.failed",
response: {
id: typeof response?.id === "string" ? response.id : null,
status: "failed",
error,
},
};
}
export function encodeResponseSseEvent(raw: string): { sse: string; terminal: boolean } {
let eventType = "message";
let payload = raw;
let terminal = false;
try {
const parsed = JSON.parse(raw);
if (parsed && typeof parsed.type === "string" && parsed.type.trim()) {
eventType = parsed.type.trim();
if (eventType === "error" || eventType === "response.failed") {
const failed = toCodexResponseFailedEvent(parsed as Record<string, unknown>);
payload = JSON.stringify(failed);
eventType = "response.failed";
}
terminal = eventType === "response.completed" || eventType === "response.failed";
}
} catch {
console.warn("[codex] SSE payload parse failed, using raw payload");
// Keep message as the generic SSE event for non-JSON upstream payloads.
}
return { sse: `event: ${eventType}\ndata: ${payload}\n\n`, terminal };
}
function toWebSocketUrl(url: string): string {
if (url.startsWith("wss://") || url.startsWith("ws://")) return url;
if (url.startsWith("https://")) return `wss://${url.slice("https://".length)}`;
if (url.startsWith("http://")) return `ws://${url.slice("http://".length)}`;
return CODEX_RESPONSES_WS_URL;
}
function normalizeCodexWsHeaders(headers: Record<string, string>): Record<string, string> {
const result: Record<string, string> = {};
for (const [key, value] of Object.entries(headers)) {
const lower = key.toLowerCase();
if (
lower === "host" ||
lower === "connection" ||
lower === "upgrade" ||
lower === "sec-websocket-key" ||
lower === "sec-websocket-version" ||
lower === "sec-websocket-extensions"
) {
continue;
}
result[key] = value;
}
result.Origin = "https://chatgpt.com";
return result;
}
/**
* Codex Executor - handles OpenAI Codex API (Responses API format)
* Automatically injects default instructions if missing.
* IMPORTANT: Includes chatgpt-account-id header for workspace binding.
*/
export class CodexExecutor extends BaseExecutor {
constructor() {
super("codex", PROVIDERS.codex);
}
async execute(input: ExecuteInput) {
const sessionId = this.getPromptCacheSessionId(
input.credentials,
input.body as Record<string, unknown> | null
);
const identity = createCodexClientIdentity(
sessionId,
input.credentials?.providerSpecificData ?? null
);
const credentials = identity
? {
...input.credentials,
providerSpecificData: {
...(input.credentials?.providerSpecificData || {}),
codexClientIdentity: identity,
},
}
: input.credentials;
const nextInput = { ...input, credentials };
if (!isCodexResponsesWebSocketRequired(nextInput.model, nextInput.credentials)) {
return super.execute(nextInput);
}
const url = CODEX_RESPONSES_WS_URL;
const headers = normalizeCodexWsHeaders(this.buildHeaders(nextInput.credentials, true));
mergeUpstreamExtraHeaders(headers, nextInput.upstreamExtraHeaders);
const transformedBody = (await this.transformRequest(
nextInput.model,
nextInput.body,
true,
nextInput.credentials
)) as Record<string, unknown>;
transformedBody.model = getCodexUpstreamModel(transformedBody.model || nextInput.model);
delete transformedBody.stream;
delete transformedBody.stream_options;
const bodyString = JSON.stringify({
type: "response.create",
...transformedBody,
});
const websocketFn = getCodexWebSocketTransport();
if (!websocketFn) {
return {
response: codexWebSocketUnavailableResponse(),
url,
headers,
transformedBody,
};
}
const encoder = new TextEncoder();
let closed = false;
let ws: WreqWebSocket | null = null;
let streamController: ReadableStreamDefaultController<Uint8Array> | null = null;
const closeUpstream = (reason: string) => {
try {
ws?.close(1000, reason);
} catch {
console.warn("[codex] closeUpstream: socket close race ignored");
// ignore close races
}
};
let abortHandler: (() => void) | null = null;
const removeAbortListener = () => {
if (!abortHandler) return;
nextInput.signal?.removeEventListener("abort", abortHandler);
abortHandler = null;
};
const finishStream = ({
reason,
emitDone = true,
closeController = true,
closeSocket = true,
}: {
reason: string;
emitDone?: boolean;
closeController?: boolean;
closeSocket?: boolean;
}) => {
if (closed) return;
closed = true;
removeAbortListener();
if (closeSocket) closeUpstream(reason);
const controller = streamController;
if (!controller || !closeController) return;
if (emitDone) {
try {
controller.enqueue(encoder.encode("data: [DONE]\n\n"));
} catch {
console.warn("[codex] finishStream: failed to enqueue [DONE]");
// The downstream may already have gone away.
}
}
try {
controller.close();
} catch {
console.warn("[codex] finishStream: failed to close controller");
// The controller may already be closed.
}
};
const failController = (code: string, message: string) => {
if (closed) return;
const controller = streamController;
const payload = JSON.stringify({
type: "response.failed",
response: {
id: null,
status: "failed",
error: { code, message },
},
});
try {
controller?.enqueue(encoder.encode(`event: response.failed\ndata: ${payload}\n\n`));
} catch {
// Downstream closed before the failure could be delivered.
}
finishStream({ reason: "upstream_failed" });
};
const stream = new ReadableStream<Uint8Array>({
async start(controller) {
streamController = controller;
abortHandler = () => {
finishStream({ reason: "client_aborted" });
};
nextInput.signal?.addEventListener("abort", abortHandler, { once: true });
try {
ws = await websocketFn(toWebSocketUrl(url), {
browser: "chrome_142",
os: "windows",
headers,
});
if (closed) return;
if (nextInput.signal?.aborted) {
finishStream({ reason: "client_aborted" });
return;
}
ws.onmessage = (event) => {
if (closed) return;
const raw =
typeof event.data === "string"
? event.data
: Buffer.from(event.data as Buffer).toString("utf8");
const sseEvent = encodeResponseSseEvent(raw);
if (closed) return;
try {
controller.enqueue(encoder.encode(sseEvent.sse));
} catch {
finishStream({
reason: "downstream_closed",
emitDone: false,
closeController: false,
});
return;
}
if (sseEvent.terminal) {
finishStream({ reason: "terminal_event" });
}
};
ws.onerror = (event) => {
failController(
"upstream_websocket_error",
event.message || "Codex upstream WebSocket error"
);
};
ws.onclose = () => {
finishStream({ reason: "upstream_closed", closeSocket: false });
};
if (!closed) {
ws.send(bodyString);
}
} catch (error) {
failController(
"upstream_websocket_connect_failed",
error instanceof Error ? error.message : String(error)
);
}
},
cancel() {
finishStream({ reason: "client_cancelled", emitDone: false, closeController: false });
},
});
return {
response: new Response(stream, {
status: 200,
headers: {
"Content-Type": "text/event-stream",
"Cache-Control": "no-cache",
Connection: "keep-alive",
},
}),
url,
headers,
transformedBody,
};
}
buildUrl(
model: string,
stream: boolean,
urlIndex = 0,
credentials: ProviderCredentials | null = null
) {
void model;
void stream;
void urlIndex;
const responsesSubpath = getResponsesSubpath(credentials?.requestEndpointPath);
if (responsesSubpath !== null) {
const baseUrl = String(this.config.baseUrl || "").replace(/\/$/, "");
if (baseUrl.endsWith("/responses")) {
return `${baseUrl}${responsesSubpath}`;
}
return `${baseUrl}/responses${responsesSubpath}`;
}
return super.buildUrl(model, stream, urlIndex, credentials);
}
/**
* Codex Responses endpoint is SSE-first.
* Always request event-stream from upstream, even when client requested stream=false.
* Includes chatgpt-account-id header for strict workspace binding.
*/
buildHeaders(credentials: ProviderCredentials, stream = true) {
const isCompactRequest = isCompactResponsesEndpoint(credentials?.requestEndpointPath);
const headers = super.buildHeaders(credentials, isCompactRequest ? false : true);
headers.Version = getCodexClientVersion();
setUserAgentHeader(headers, getCodexUserAgent());
// Add workspace binding header if workspaceId is persisted
const workspaceId = credentials?.providerSpecificData?.workspaceId;
if (typeof workspaceId === "string" && workspaceId) {
headers["chatgpt-account-id"] = workspaceId;
}
const clientIdentity = credentials?.providerSpecificData?.codexClientIdentity as
| CodexClientIdentity
| null
| undefined;
// Originator header — identifies the client type to the Codex backend.
// Ref: openai/codex login/src/auth/default_client.rs DEFAULT_ORIGINATOR = "codex_cli_rs"
headers["originator"] = "codex_cli_rs";
// session_id header — enables prompt cache affinity on the Codex backend.
// The official Codex client sets this to conversation_id (a stable UUID per session).
// Ref: openai/codex codex-api/src/requests/headers.rs build_conversation_headers()
const cacheSessionId = this.getPromptCacheSessionId(credentials, null);
if (cacheSessionId) {
headers["session_id"] = cacheSessionId;
}
applyCodexClientIdentityHeaders(headers, clientIdentity);
return headers;
}
/**
* Derive a stable session ID for prompt cache affinity.
* Priority: per-conversation session_id/conversation_id from request body → workspaceId.
* The official Codex client uses conversation_id (a unique UUID per session), NOT
* the account-wide workspaceId. Using workspaceId caps cache hit-rate at ~49%
* because all conversations share the same cache partition. (#1643)
* Ref: openai/codex core/src/client.rs line 853
*/
private getPromptCacheSessionId(
credentials: ProviderCredentials | null | undefined,
body: Record<string, unknown> | null
): string | null {
const promptCacheKey = normalizeCodexSessionId(body?.prompt_cache_key);
if (promptCacheKey) return promptCacheKey;
// Prefer per-session identifiers from the client request body
const sessionId = body?.session_id ?? body?.conversation_id;
const normalizedSessionId = normalizeCodexSessionId(sessionId);
if (normalizedSessionId) {
return normalizedSessionId;
}
// Fall back to workspaceId (account-wide) — better than nothing
return normalizeCodexSessionId(credentials?.providerSpecificData?.workspaceId) || null;
}
/**
* Refresh Codex OAuth credentials when a 401 is received.
* OpenAI uses rotating (one-time-use) refresh tokens — if the token was already
* consumed by a concurrent refresh, this returns null to signal re-auth is needed.
*
* Fixes #251: After a server restart/upgrade, previously cached access tokens may
* have expired or become invalid. chatCore.ts calls this on 401; previously the
* base class returned null causing the request to fail instead of refreshing.
*/
async refreshCredentials(credentials: ProviderCredentials, log?: ExecutorLog | null) {
if (!credentials?.refreshToken) {
log?.warn?.("TOKEN_REFRESH", "Codex: no refresh token available, re-authentication required");
return null;
}
const result = await getAccessToken("codex", credentials, log);
if (!result) {
log?.warn?.("TOKEN_REFRESH", "Codex: token refresh failed — re-authentication required");
return null;
}
if (result.error) {
log?.warn?.(
"TOKEN_REFRESH",
`Codex: token refresh failed (${result.error}) — re-authentication required`
);
// Return null (not the error-only object): base.ts spreads any truthy
// result onto activeCredentials and persists it via onCredentialsRefreshed.
// Spreading `{ error }` would keep the stale/expired accessToken in place
// and write garbage to the connection. Returning null leaves the original
// credentials untouched so the upstream 401/403 drives the proper
// re-auth / mark-expired path instead.
return null;
}
return result;
}
/**
* Transform request before sending - inject default instructions if missing
*/
transformRequest(
model: string,
bodyInput: unknown,
stream: boolean,
credentials: ProviderCredentials
) {
void stream;
// Do not mutate the caller's payload in place. Combo quality checks and
// other post-execute paths still inspect the original request body.
const body: Record<string, unknown> =
bodyInput && typeof bodyInput === "object"
? structuredClone(bodyInput as Record<string, unknown>)
: {};
const nativeCodexPassthrough = body?._nativeCodexPassthrough === true;
const isCompactRequest = isCompactResponsesEndpoint(credentials?.requestEndpointPath);
const requestDefaults = getCodexRequestDefaults(credentials?.providerSpecificData);
const thinkingBudgetConfig = getThinkingBudgetConfig();
const allowConnectionReasoningDefaults = thinkingBudgetConfig.mode === ThinkingMode.PASSTHROUGH;
consumeResponsesStoreMarker(body);
// Codex /responses rejects stream=false, but /responses/compact rejects the stream field entirely.
if (isCompactRequest) {
delete body.stream;
delete body.stream_options;
delete body.client_metadata;
} else {
body.stream = true;
}
delete body._nativeCodexPassthrough;
const requestServiceTier = normalizeServiceTierValue(body.service_tier);
if (requestServiceTier) {
body.service_tier = requestServiceTier;
} else if (requestDefaults.serviceTier) {
body.service_tier = requestDefaults.serviceTier;
}
// Issue #1832 & #1853: Map messages to input for clients like Cursor 5.5 that use responses/compact but send messages instead of input.
// This MUST run before convertSystemToDeveloperRole and stripStoredItemReferences.
if (!body.input && Array.isArray(body.messages)) {
body.input = body.messages.map((msg: ResponsesMessageInput) => ({
type: "message",
role: typeof msg.role === "string" ? msg.role : "user",
...(typeof msg.phase === "string" ? { phase: msg.phase } : {}),
content:
typeof msg.content === "string"
? [{ type: "input_text", text: msg.content }]
: Array.isArray(msg.content)
? msg.content.map((contentPart: unknown) => {
if (
contentPart &&
typeof contentPart === "object" &&
!Array.isArray(contentPart) &&
(contentPart as Record<string, unknown>).type === "text"
) {
return {
type: "input_text",
text: (contentPart as Record<string, unknown>).text,
};
}
return contentPart;
})
: [],
}));
} else if (!body.input && typeof body.prompt === "string" && body.prompt.trim()) {
// Issue #1872: Cursor occasionally passes the request as `prompt` instead of `messages`.
body.input = [
{
type: "message",
role: "user",
content: [{ type: "input_text", text: body.prompt }],
},
];
} else if (!body.input && Array.isArray(body.prompt)) {
body.input = body.prompt.map((p: unknown) => ({
type: "message",
role: "user",
content: [{ type: "input_text", text: typeof p === "string" ? p : JSON.stringify(p) }],
}));
}
if (Array.isArray(body.input)) {
body.input = sanitizeResponsesInputItems(body.input, false);
}
// ── Cache-aware system prompt handling (both paths) ──
//
// Convert system → developer role IN-PLACE so system prompts remain in the
// `input` array where they contribute to the automatic prompt cache prefix.
// The `instructions` field is NOT included in the cache key for GPT-5 models.
//
// This applies to BOTH native passthrough (Responses API) and translated
// (Chat Completions) paths. Previously the translated path used
// hoistSystemMessagesToInstructions() which moved system content out of
// `input` and into `instructions`, destroying cache eligibility.
//
// Ref: PR #1346 (original fix for passthrough only)
convertSystemToDeveloperRole(body);
if (nativeCodexPassthrough) {
// Passthrough: minimal placeholder instructions.
if (
!body.instructions ||
(typeof body.instructions === "string" && body.instructions.trim() === "")
) {
body.instructions = "Follow the developer instructions in the conversation.";
}
} else {
// Translated: keep the full Codex tool instructions only for tool-capable
// requests. Bare chat requests still need a neutral instructions value
// because the Codex Responses backend rejects requests without it.
const hasTools = Array.isArray(body.tools) && body.tools.length > 0;
if (
!body.instructions ||
(typeof body.instructions === "string" && body.instructions.trim() === "")
) {
if (hasTools) {
body.instructions = CODEX_DEFAULT_INSTRUCTIONS;
} else {
body.instructions = CODEX_CHAT_DEFAULT_INSTRUCTIONS;
}
}
}
// Store: regular Codex Responses rejects store=true with
// "Store must be set to false", while /responses/compact rejects the
// store field entirely. Default regular requests to false unless the
// provider explicitly opts in (e.g. API-key accounts that support persistence).
// Ref: sub2api openai_codex_transform.go line 75-80
const explicitStoreSetting =
credentials?.providerSpecificData &&
typeof credentials.providerSpecificData === "object" &&
!Array.isArray(credentials.providerSpecificData)
? credentials.providerSpecificData.openaiStoreEnabled
: undefined;
if (isCompactRequest) {
delete body.store;
} else if (explicitStoreSetting === true) {
body.store = true;
} else {
// backend rejects store=true ("Store must be set to false"), so default to false.
body.store = false;
}
// Codex Responses only supports function tools with non-empty names.
// Cursor may include custom tools (e.g. ApplyPatch) that work locally but are
// invalid upstream, and translation bugs can leave orphaned/empty tool_choice names.
normalizeCodexTools(body);
// Strip stored response item references (rs_, resp_, msg_ IDs) from input.
// The /codex/responses endpoint does not persist responses even with store=true,
// so any references to previous response items would cause 404 errors.
stripStoredItemReferences(body);
// Issue #806: Even for native passthrough, some clients (purist completions) might indiscriminately inject
// a `messages` or `prompt` array which the strict Codex Responses schema rejects.
delete body.messages;
delete body.prompt;
let modelEffort: string | null = null;
let cleanModel = typeof body.model === "string" ? body.model : model;
const splitModel = splitCodexReasoningSuffix(cleanModel);
if (splitModel.effort) {
modelEffort = splitModel.effort;
body.model = splitModel.baseModel;
cleanModel = splitModel.baseModel;
}
const reasoningRecord =
body.reasoning && typeof body.reasoning === "object" && !Array.isArray(body.reasoning)
? (body.reasoning as Record<string, unknown>)
: null;
const explicitReasoning = normalizeEffortValue(reasoningRecord?.effort);
const requestReasoningEffort = normalizeEffortValue(body.reasoning_effort);
const fallbackReasoningEffort = allowConnectionReasoningDefaults
? requestDefaults.reasoningEffort || "medium"
: undefined;
// Issue #2331: model suffix aliases (for example gpt-5.5-xhigh) represent an
// explicit model selection, so they must override client-injected defaults such
// as OpenCode's automatic reasoning.effort=medium for GPT-5-family requests.
const rawEffort =
modelEffort || explicitReasoning || requestReasoningEffort || fallbackReasoningEffort;
if (rawEffort) {
body.reasoning = {
...(reasoningRecord || {}),
effort: clampEffort(cleanModel, rawEffort),
};
}
delete body.reasoning_effort;
// Remove unsupported token limit parameters BEFORE the passthrough return.
// Codex API rejects both max_tokens and max_output_tokens regardless of
// whether the request came via native passthrough or translation.
delete body.max_tokens;
delete body.max_output_tokens;
// VS Code Copilot BYOK Responses requests include `truncation` (for example
// "auto" or "disabled"). The Codex /responses backend currently rejects this
// field entirely with 400 Unsupported parameter: truncation, so strip it for
// both native passthrough and translated requests.
delete body.truncation;
delete body.background; // Droid CLI sends this but Codex Responses API rejects it
// Inject prompt_cache_key for Codex prompt caching.
// The official Codex client sets this to conversation_id (a stable UUID per session).
// Ref: openai/codex core/src/client.rs line 853:
// let prompt_cache_key = Some(self.client.state.conversation_id.to_string());
// IMPORTANT: Capture session/conversation IDs BEFORE deletion below (#1643).
if (!body.prompt_cache_key) {
const cacheSessionId = this.getPromptCacheSessionId(credentials, body);
if (cacheSessionId) {
body.prompt_cache_key = cacheSessionId;
}
}
if (!isCompactRequest) {
applyCodexClientMetadata(
body,
credentials?.providerSpecificData?.codexClientIdentity as
| CodexClientIdentity
| null
| undefined
);
}
// Delete session_id and conversation_id from the body.
// These are often injected by OmniRoute's fallback logic for store=true,
// but the upstream Codex API strictly rejects them as unsupported parameters.
delete body.session_id;
delete body.conversation_id;
if (nativeCodexPassthrough) {
return body;
}
// Issue #2608: Use an allowlist of known Responses API fields instead of a
// denylist of Chat Completions fields. The denylist approach missed fields
// like `stop`, `response_format`, `logit_bias`, `function_call`, `functions`,
// `max_completion_tokens`, and `parallel_tool_calls` — causing gpt-5.5 to
// reject with "routing_unsupported" (400). An allowlist is future-proof:
// any unknown field from Chat Completions (or other formats) is stripped.
const RESPONSES_API_ALLOWLIST = new Set([
"model",
"input",
"instructions",
"tools",
"tool_choice",
"stream",
"store",
"reasoning",
"service_tier",
"include",
"previous_response_id",
"prompt_cache_key",
"client_metadata",
// Internal markers used by OmniRoute pipeline
"_omnirouteResponsesStore",
]);
for (const key of Object.keys(body)) {
if (!RESPONSES_API_ALLOWLIST.has(key)) {
delete body[key];
}
}
return body;
}
}