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OmniRoute/open-sse/services/rateLimitManager.ts
2026-04-30 15:48:50 -03:00

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/**
* Rate Limit Manager — Adaptive rate limiting using Bottleneck
*
* Creates per-provider+connection limiters that auto-learn rate limits
* from API response headers (x-ratelimit-*, retry-after, anthropic-ratelimit-*).
*
* Default: ENABLED for API key providers (safety net), DISABLED for OAuth.
* Can be toggled per provider connection via dashboard.
*/
import Bottleneck from "bottleneck";
import { parseRetryAfterFromBody } from "./accountFallback.ts";
import { getProviderCategory } from "../config/providerRegistry.ts";
import { getCodexRateLimitKey } from "../executors/codex.ts";
import {
DEFAULT_RESILIENCE_SETTINGS,
resolveResilienceSettings,
type RequestQueueSettings,
} from "../../src/lib/resilience/settings";
interface LearnedLimitEntry {
provider: string;
connectionId: string;
lastUpdated: number;
limit?: number;
remaining?: number;
minTime?: number;
}
interface LimiterUpdateSettings {
maxConcurrent?: number | null;
minTime: number;
reservoir?: number | null;
reservoirRefreshAmount?: number | null;
reservoirRefreshInterval?: number | null;
}
type JsonRecord = Record<string, unknown>;
function toRecord(value: unknown): JsonRecord {
return value && typeof value === "object" && !Array.isArray(value) ? (value as JsonRecord) : {};
}
function toNumber(value: unknown, fallback = 0): number {
const parsed =
typeof value === "number"
? value
: typeof value === "string" && value.trim().length > 0
? Number(value)
: Number.NaN;
return Number.isFinite(parsed) ? parsed : fallback;
}
// Store limiters keyed by "provider:connectionId" (and optionally ":model")
const limiters = new Map<string, Bottleneck>();
// Store connections that have rate limit protection enabled
const enabledConnections = new Set<string>();
// Store learned limits for persistence (debounced)
const learnedLimits: Record<string, LearnedLimitEntry> = {};
let persistTimer: ReturnType<typeof setTimeout> | null = null;
const pendingAsyncOperations = new Set<Promise<unknown>>();
const PERSIST_DEBOUNCE_MS = 60_000; // Debounce persistence to every 60s max
// Track initialization
let initialized = false;
let currentRequestQueueSettings: RequestQueueSettings = DEFAULT_RESILIENCE_SETTINGS.requestQueue;
// Watchdog: detect Bottleneck limiters that are wedged (queue has work, but no
// jobs are dispatched). When the reservoir/refresh state desyncs from reality,
// this catches it and force-resets so traffic isn't stuck forever.
const lastDispatchAt = new Map<string, number>();
let watchdogInterval: ReturnType<typeof setInterval> | null = null;
const WATCHDOG_INTERVAL_MS = 30_000;
// Threshold has to exceed any *legitimate* gap between dispatches:
// - default reservoirRefreshInterval is 60s
// - adaptive minTime can climb to ~60s for 1-RPM providers (see updateFromHeaders)
// 120s gives a 2× margin against both, while still catching the actual wedge
// case we observed (queue stalled for 3+ minutes with no progress).
const WEDGE_THRESHOLD_MS = 120_000;
/**
* Env-var override for the auto-enable safety net. Highest priority — wins
* over the persisted dashboard setting. Use to disable in an incident without
* needing dashboard access.
* RATE_LIMIT_AUTO_ENABLE=false → never auto-enable
* RATE_LIMIT_AUTO_ENABLE=true → force on regardless of dashboard
* (unset) → use dashboard setting
*/
function isAutoEnableActive(settings: RequestQueueSettings): boolean {
const env = process.env.RATE_LIMIT_AUTO_ENABLE?.trim().toLowerCase();
if (env === "false" || env === "0" || env === "off") return false;
if (env === "true" || env === "1" || env === "on") return true;
return settings.autoEnableApiKeyProviders;
}
function buildLimiterDefaults() {
return {
maxConcurrent: currentRequestQueueSettings.concurrentRequests,
minTime: currentRequestQueueSettings.minTimeBetweenRequestsMs,
reservoir: currentRequestQueueSettings.requestsPerMinute,
reservoirRefreshAmount: currentRequestQueueSettings.requestsPerMinute,
reservoirRefreshInterval: 60 * 1000,
};
}
function updateAllLimiterSettings() {
for (const limiter of limiters.values()) {
limiter.updateSettings({
maxConcurrent: currentRequestQueueSettings.concurrentRequests,
minTime: currentRequestQueueSettings.minTimeBetweenRequestsMs,
reservoir: currentRequestQueueSettings.requestsPerMinute,
reservoirRefreshAmount: currentRequestQueueSettings.requestsPerMinute,
reservoirRefreshInterval: 60 * 1000,
});
}
}
function reconcileEnabledConnections(
connectionsRaw: unknown[],
requestQueueSettings: RequestQueueSettings
) {
const nextEnabledConnections = new Set<string>();
let explicitCount = 0;
let autoCount = 0;
for (const connRaw of connectionsRaw) {
const conn = toRecord(connRaw);
const connectionId = typeof conn.id === "string" ? conn.id : "";
const provider = typeof conn.provider === "string" ? conn.provider : "";
const isActive = conn.isActive === true;
const rateLimitProtection = conn.rateLimitProtection === true;
if (!connectionId || !provider) continue;
if (rateLimitProtection) {
nextEnabledConnections.add(connectionId);
explicitCount++;
continue;
}
if (
isAutoEnableActive(requestQueueSettings) &&
getProviderCategory(provider) === "apikey" &&
isActive
) {
nextEnabledConnections.add(connectionId);
autoCount++;
// Route through getLimiter so the `queued`/`executing` listeners and
// lastDispatchAt heartbeat are wired up — otherwise the watchdog sees
// `stalledMs = now - 0` and falsely flags healthy idle limiters as wedged.
getLimiter(provider, connectionId);
}
}
for (const connectionId of Array.from(enabledConnections)) {
if (!nextEnabledConnections.has(connectionId)) {
disableRateLimitProtection(connectionId);
}
}
for (const connectionId of nextEnabledConnections) {
enabledConnections.add(connectionId);
}
return {
explicitCount,
autoCount,
};
}
function watchdogTick() {
const now = Date.now();
for (const [key, limiter] of Array.from(limiters)) {
const counts = limiter.counts();
if (counts.QUEUED === 0) continue;
if (counts.RUNNING > 0 || counts.EXECUTING > 0) continue;
const lastDispatch = lastDispatchAt.get(key);
// No heartbeat yet → seed it and skip this tick. Prevents false wedge
// detection on a brand-new limiter or one created outside getLimiter.
if (lastDispatch === undefined) {
lastDispatchAt.set(key, now);
continue;
}
const stalledMs = now - lastDispatch;
if (stalledMs < WEDGE_THRESHOLD_MS) continue;
console.warn(
`🚨 [RATE-LIMIT] WEDGED: ${key} queued=${counts.QUEUED} running=0 executing=0 stalled=${stalledMs}ms — force-resetting`
);
limiters.delete(key);
lastDispatchAt.delete(key);
trackAsyncOperation(limiter.stop({ dropWaitingJobs: true }));
}
}
export function startRateLimitWatchdog(): void {
if (watchdogInterval) return;
watchdogInterval = setInterval(watchdogTick, WATCHDOG_INTERVAL_MS);
watchdogInterval.unref?.();
}
export function stopRateLimitWatchdog(): void {
if (!watchdogInterval) return;
clearInterval(watchdogInterval);
watchdogInterval = null;
}
function trackAsyncOperation<T>(promise: Promise<T>): Promise<T> {
pendingAsyncOperations.add(promise);
promise.finally(() => {
pendingAsyncOperations.delete(promise);
});
return promise;
}
/**
* Initialize rate limit protection from persisted connection settings.
* Called once on app startup.
*/
export async function initializeRateLimits() {
if (initialized) return;
initialized = true;
try {
const { getProviderConnections, getSettings } = await import("@/lib/localDb");
const [connections, settings] = await Promise.all([getProviderConnections(), getSettings()]);
const resilience = resolveResilienceSettings(settings);
currentRequestQueueSettings = { ...resilience.requestQueue };
const { explicitCount, autoCount } = reconcileEnabledConnections(
connections as unknown[],
currentRequestQueueSettings
);
updateAllLimiterSettings();
if (explicitCount > 0 || autoCount > 0) {
console.log(
`🛡️ [RATE-LIMIT] Loaded ${explicitCount} explicit + ${autoCount} auto-enabled protection(s)`
);
}
// Load persisted learned limits
await loadPersistedLimits();
// Watchdog runs unconditionally — cheap, only fires when something is
// actually wedged.
startRateLimitWatchdog();
} catch (err) {
console.error("[RATE-LIMIT] Failed to load settings:", err.message);
}
}
export async function applyRequestQueueSettings(nextSettings: RequestQueueSettings) {
currentRequestQueueSettings = { ...nextSettings };
const { getProviderConnections } = await import("@/lib/localDb");
const connections = await getProviderConnections();
reconcileEnabledConnections(connections as unknown[], currentRequestQueueSettings);
updateAllLimiterSettings();
}
/**
* Enable rate limit protection for a connection
*/
export function enableRateLimitProtection(connectionId) {
enabledConnections.add(connectionId);
}
/**
* Disable rate limit protection for a connection
*/
export function disableRateLimitProtection(connectionId) {
enabledConnections.delete(connectionId);
// Clean up limiters for this connection. Use stop({dropWaitingJobs:true})
// instead of disconnect() so any queued promises actually reject — disconnect
// shuts the limiter down without draining the queue, leaking stuck callers.
for (const [key] of Array.from(limiters)) {
if (key.includes(connectionId)) {
const limiter = limiters.get(key);
limiters.delete(key);
lastDispatchAt.delete(key);
if (limiter) trackAsyncOperation(limiter.stop({ dropWaitingJobs: true }));
}
}
}
/**
* Check if rate limit protection is enabled for a connection
*/
export function isRateLimitEnabled(connectionId) {
return enabledConnections.has(connectionId);
}
/**
* Get or create a limiter for a given provider+connection combination
*/
function getLimiterKey(provider, connectionId, model = null) {
if (provider === "codex" && model) {
return `${provider}:${getCodexRateLimitKey(connectionId, model)}`;
}
// Gemini AI Studio and GitHub Copilot have per-model quotas — use model-scoped
// limiter keys so a 429 on one model doesn't pause requests for other models.
if ((provider === "gemini" || provider === "github") && model) {
return `${provider}:${connectionId}:${model}`;
}
return `${provider}:${connectionId}`;
}
function getLimiter(provider, connectionId, model = null) {
const key = getLimiterKey(provider, connectionId, model);
if (!limiters.has(key)) {
const limiter = new Bottleneck({
...buildLimiterDefaults(),
id: key,
});
// Log when jobs are queued
limiter.on("queued", () => {
const counts = limiter.counts();
if (counts.QUEUED > 0) {
console.log(
`⏳ [RATE-LIMIT] ${key}${counts.QUEUED} request(s) queued, ${counts.RUNNING} running`
);
}
});
// Heartbeat: timestamp every dispatch so the watchdog can tell a healthy
// queue (just dispatched a job) from a wedged one (queue has work but
// nothing has been dispatched in a while).
limiter.on("executing", () => {
lastDispatchAt.set(key, Date.now());
});
limiters.set(key, limiter);
lastDispatchAt.set(key, Date.now());
}
return limiters.get(key);
}
/**
* Acquire a rate limit slot before making a request.
* If rate limiting is disabled for this connection, returns immediately.
*
* @param {string} provider - Provider ID
* @param {string} connectionId - Connection ID
* @param {string} model - Model name (optional, for per-model limits)
* @param {Function} fn - The async function to execute (e.g., executor.execute)
* @param {AbortSignal} signal - Optional abort signal to cancel waiting
* @returns {Promise<unknown>} Result of fn()
*/
export async function withRateLimit(provider, connectionId, model, fn, signal = null) {
if (!enabledConnections.has(connectionId)) {
return fn();
}
if (signal?.aborted) {
const reason = signal.reason;
if (reason instanceof Error) throw reason;
const err = new Error(typeof reason === "string" ? reason : "The operation was aborted");
err.name = "AbortError";
throw err;
}
const limiter = getLimiter(provider, connectionId, model);
const maxWaitMs = currentRequestQueueSettings.maxWaitMs;
const scheduleOpts = maxWaitMs && maxWaitMs > 0 ? { expiration: maxWaitMs } : {};
try {
if (signal) {
let abortListener: (() => void) | undefined;
const abortPromise = new Promise<never>((_, reject) => {
const onAbort = () => {
const reason = signal.reason;
const err =
reason instanceof Error
? reason
: new Error(typeof reason === "string" ? reason : "The operation was aborted");
err.name = "AbortError";
reject(err);
};
if (signal.aborted) {
onAbort();
return;
}
abortListener = onAbort;
signal.addEventListener("abort", abortListener, { once: true });
});
try {
return await Promise.race([limiter.schedule(scheduleOpts, fn), abortPromise]);
} finally {
if (abortListener) {
signal.removeEventListener("abort", abortListener);
}
}
} else {
return await limiter.schedule(scheduleOpts, fn);
}
} catch (err) {
// Bottleneck throws when a job exceeds its expiration timeout.
// Surface as a clear rate-limit timeout so callers can fallback.
if (err?.message?.includes("This job timed out")) {
const key = getLimiterKey(provider, connectionId, model);
console.log(
`⏰ [RATE-LIMIT] ${key} — job expired after ${Math.ceil((maxWaitMs || 0) / 1000)}s in queue, dropping`
);
}
throw err;
}
}
// ─── Header Parsing ──────────────────────────────────────────────────────────
/**
* Standard headers used by most providers (OpenAI, Fireworks, etc.)
*/
const STANDARD_HEADERS = {
limit: "x-ratelimit-limit-requests",
remaining: "x-ratelimit-remaining-requests",
reset: "x-ratelimit-reset-requests",
limitTokens: "x-ratelimit-limit-tokens",
remainingTokens: "x-ratelimit-remaining-tokens",
resetTokens: "x-ratelimit-reset-tokens",
retryAfter: "retry-after",
overLimit: "x-ratelimit-over-limit",
};
/**
* Anthropic uses custom headers
*/
const ANTHROPIC_HEADERS = {
limit: "anthropic-ratelimit-requests-limit",
remaining: "anthropic-ratelimit-requests-remaining",
reset: "anthropic-ratelimit-requests-reset",
limitTokens: "anthropic-ratelimit-input-tokens-limit",
remainingTokens: "anthropic-ratelimit-input-tokens-remaining",
resetTokens: "anthropic-ratelimit-input-tokens-reset",
retryAfter: "retry-after",
};
/**
* Parse a reset time string into milliseconds.
* Formats: "1s", "1m", "1h", "1ms", "60", ISO date, Unix timestamp
*/
function parseResetTime(value) {
if (!value) return null;
// Duration strings: "1s", "500ms", "1m30s"
const durationMatch = value.match(/^(?:(\d+)h)?(?:(\d+)m(?!s))?(?:(\d+)s)?(?:(\d+)ms)?$/);
if (durationMatch) {
const [, h, m, s, ms] = durationMatch;
return (
(parseInt(h || 0) * 3600 + parseInt(m || 0) * 60 + parseInt(s || 0)) * 1000 +
parseInt(ms || 0)
);
}
// Pure number: assume seconds
const num = parseFloat(value);
if (!isNaN(num) && num > 0) {
// If it looks like a Unix timestamp (> year 2025)
if (num > 1700000000) {
return Math.max(0, num * 1000 - Date.now());
}
return num * 1000;
}
// ISO date string
try {
const date = new Date(value);
if (!isNaN(date.getTime())) {
return Math.max(0, date.getTime() - Date.now());
}
} catch {}
return null;
}
/**
* Update rate limiter based on API response headers.
* Called after every successful or failed response from a provider.
*
* @param {string} provider - Provider ID
* @param {string} connectionId - Connection ID
* @param {Headers} headers - Response headers
* @param {number} status - HTTP status code
* @param {string} model - Model name
*/
export function updateFromHeaders(provider, connectionId, headers, status, model = null) {
if (!enabledConnections.has(connectionId)) return;
if (!headers) return;
const limiter = getLimiter(provider, connectionId, model);
const headerMap =
provider === "claude" || provider === "anthropic" ? ANTHROPIC_HEADERS : STANDARD_HEADERS;
// Get header values (handle both Headers object and plain object)
const getHeader = (name) => {
if (typeof headers.get === "function") return headers.get(name);
return headers[name] || null;
};
const limit = parseInt(getHeader(headerMap.limit));
const remaining = parseInt(getHeader(headerMap.remaining));
const resetStr = getHeader(headerMap.reset);
const retryAfterStr = getHeader(headerMap.retryAfter);
const overLimit = getHeader(STANDARD_HEADERS.overLimit);
// Handle 429 — rate limited
if (status === 429) {
const retryAfterMs = parseResetTime(retryAfterStr) || 60000; // Default 60s
const counts = limiter.counts();
const limiterKey = getLimiterKey(provider, connectionId, model);
console.log(
`🚫 [RATE-LIMIT] ${provider}:${connectionId.slice(0, 8)} — 429 received, pausing for ${Math.ceil(retryAfterMs / 1000)}s, dropping ${counts.QUEUED} queued request(s)`
);
// Stop the limiter and drop all waiting jobs so they fail immediately
// instead of hanging in the queue until reservoir refreshes (which can
// be hours for providers like Codex with long rate limit windows).
// This lets upstream callers (e.g. LiteLLM) trigger fallback to other providers.
// Delete from the Map first so follow-up learning from the same error body
// can materialize a fresh limiter immediately.
limiters.delete(limiterKey);
trackAsyncOperation(limiter.stop({ dropWaitingJobs: true }));
return;
}
// Handle "over limit" soft warning (Fireworks)
if (overLimit === "yes") {
console.log(
`⚠️ [RATE-LIMIT] ${provider}:${connectionId.slice(0, 8)} — near capacity, slowing down`
);
limiter.updateSettings({
minTime: 200, // Add 200ms between requests
});
return;
}
// Normal response — update limiter from headers
if (!isNaN(limit) && limit > 0) {
const resetMs = parseResetTime(resetStr) || 60000;
// Calculate optimal minTime from RPM limit
const minTime = Math.max(0, Math.floor(60000 / limit) - 10); // Small buffer
const updates: LimiterUpdateSettings = { minTime };
// If remaining is low (< 10% of limit), set reservoir to throttle immediately
if (!isNaN(remaining)) {
if (remaining < limit * 0.1) {
updates.reservoir = remaining;
updates.reservoirRefreshAmount = limit;
updates.reservoirRefreshInterval = resetMs;
console.log(
`⚠️ [RATE-LIMIT] ${provider}:${connectionId.slice(0, 8)}${remaining}/${limit} remaining, throttling`
);
} else if (remaining > limit * 0.5) {
// Plenty of headroom — relax the limiter
updates.minTime = 0;
updates.reservoir = null;
updates.reservoirRefreshAmount = null;
updates.reservoirRefreshInterval = null;
}
}
limiter.updateSettings(updates);
// Persist learned limits (debounced)
recordLearnedLimit(
provider,
connectionId,
{ limit, remaining, minTime: updates.minTime },
model
);
}
}
/**
* Get current rate limit status for a provider+connection (for dashboard display)
*/
export function getRateLimitStatus(provider, connectionId) {
const key = `${provider}:${connectionId}`;
const limiter = limiters.get(key);
if (!limiter) {
return {
enabled: enabledConnections.has(connectionId),
active: false,
queued: 0,
running: 0,
};
}
const counts = limiter.counts();
return {
enabled: enabledConnections.has(connectionId),
active: true,
queued: counts.QUEUED || 0,
running: counts.RUNNING || 0,
executing: counts.EXECUTING || 0,
done: counts.DONE || 0,
};
}
/**
* Get all active limiters status (for dashboard overview)
*/
export function getAllRateLimitStatus() {
const result: Record<string, { queued: number; running: number; executing: number }> = {};
for (const [key, limiter] of limiters) {
const counts = limiter.counts();
result[key] = {
queued: counts.QUEUED || 0,
running: counts.RUNNING || 0,
executing: counts.EXECUTING || 0,
};
}
return result;
}
/**
* Get all learned limits (for dashboard display).
*/
export function getLearnedLimits() {
return { ...learnedLimits };
}
// ─── Persistence ────────────────────────────────────────────────────────────
async function persistLearnedLimitsNow() {
try {
const { updateSettings } = await import("@/lib/db/settings");
await updateSettings({ learnedRateLimits: JSON.stringify(learnedLimits) });
console.log(
`💾 [RATE-LIMIT] Persisted learned limits for ${Object.keys(learnedLimits).length} provider(s)`
);
} catch (err) {
console.error("[RATE-LIMIT] Failed to persist learned limits:", err.message);
}
}
/**
* Record a learned limit for debounced persistence.
*/
function recordLearnedLimit(
provider: string,
connectionId: string,
limits: Partial<Omit<LearnedLimitEntry, "provider" | "connectionId" | "lastUpdated">>,
model: string | null = null
) {
const key = getLimiterKey(provider, connectionId, model);
learnedLimits[key] = {
...limits,
provider,
connectionId,
lastUpdated: Date.now(),
};
// Debounce: save at most once per PERSIST_DEBOUNCE_MS
if (!persistTimer) {
persistTimer = setTimeout(async () => {
persistTimer = null;
await trackAsyncOperation(persistLearnedLimitsNow());
}, PERSIST_DEBOUNCE_MS);
}
}
export async function __flushLearnedLimitsForTests() {
if (persistTimer) {
clearTimeout(persistTimer);
persistTimer = null;
}
await trackAsyncOperation(persistLearnedLimitsNow());
if (pendingAsyncOperations.size > 0) {
await Promise.allSettled(Array.from(pendingAsyncOperations));
}
}
export async function __resetRateLimitManagerForTests() {
if (persistTimer) {
clearTimeout(persistTimer);
persistTimer = null;
}
for (const limiter of limiters.values()) {
limiter.disconnect();
}
limiters.clear();
enabledConnections.clear();
initialized = false;
for (const key of Object.keys(learnedLimits)) {
delete learnedLimits[key];
}
if (pendingAsyncOperations.size > 0) {
await Promise.allSettled(Array.from(pendingAsyncOperations));
}
}
export async function __getLimiterStateForTests(provider, connectionId, model = null) {
const key = getLimiterKey(provider, connectionId, model);
const limiter = limiters.get(key);
if (!limiter) return null;
const counts = limiter.counts();
const reservoir = await limiter.currentReservoir();
return {
key,
reservoir,
queued: counts.QUEUED || 0,
running: counts.RUNNING || 0,
executing: counts.EXECUTING || 0,
done: counts.DONE || 0,
};
}
/**
* Load persisted learned limits on startup.
*/
async function loadPersistedLimits() {
try {
const { getSettings } = await import("@/lib/db/settings");
const settings = await getSettings();
const raw = settings?.learnedRateLimits;
if (typeof raw !== "string" || raw.trim().length === 0) return;
const parsed = toRecord(JSON.parse(raw) as unknown);
let count = 0;
for (const [key, dataRaw] of Object.entries(parsed)) {
const data = toRecord(dataRaw);
const lastUpdated = toNumber(data.lastUpdated, 0);
// Skip stale entries (older than 24h)
if (lastUpdated > 0 && Date.now() - lastUpdated > 24 * 60 * 60 * 1000) continue;
const connectionId = typeof data.connectionId === "string" ? data.connectionId : "";
const provider = typeof data.provider === "string" ? data.provider : "";
const limit = toNumber(data.limit, 0);
const remaining = toNumber(data.remaining, 0);
const minTime = toNumber(data.minTime, 0);
learnedLimits[key] = {
provider,
connectionId,
lastUpdated,
...(limit > 0 ? { limit } : {}),
...(remaining >= 0 ? { remaining } : {}),
...(minTime >= 0 ? { minTime } : {}),
};
// Apply to limiter if it exists and has rate limit enabled
if (connectionId && enabledConnections.has(connectionId)) {
const limiter = limiters.get(key);
if (limiter && limit > 0) {
const inferredMinTime = minTime || Math.max(0, Math.floor(60000 / limit) - 10);
limiter.updateSettings({ minTime: inferredMinTime });
count++;
}
}
}
if (count > 0) {
console.log(`📥 [RATE-LIMIT] Restored ${count} learned rate limit(s) from persistence`);
}
} catch (err) {
console.error("[RATE-LIMIT] Failed to load persisted limits:", err.message);
}
}
/**
* Update rate limiter based on API response body (JSON error responses).
* Providers embed retry info in JSON payloads in different formats.
* Should be called alongside updateFromHeaders for 4xx/5xx responses.
*
* @param {string} provider - Provider ID
* @param {string} connectionId - Connection ID
* @param {string|object} responseBody - Response body (string or parsed JSON)
* @param {number} status - HTTP status code
* @param {string} model - Model name (for per-model lockouts)
*/
export function updateFromResponseBody(provider, connectionId, responseBody, status, model = null) {
if (!enabledConnections.has(connectionId)) return;
const { retryAfterMs, reason } = parseRetryAfterFromBody(responseBody);
if (retryAfterMs && retryAfterMs > 0) {
const limiter = getLimiter(provider, connectionId, model);
console.log(
`🚫 [RATE-LIMIT] ${provider}:${connectionId.slice(0, 8)} — body-parsed retry: ${Math.ceil(retryAfterMs / 1000)}s (${reason})`
);
limiter.updateSettings({
reservoir: 0,
reservoirRefreshAmount: 60,
reservoirRefreshInterval: retryAfterMs,
});
}
}