mirror of
https://github.com/diegosouzapw/OmniRoute.git
synced 2026-08-06 15:22:12 +03:00
* fix(streaming): #1211 greedy strip omniModel tags to prevent literal \n\n artifacts - Changed regex quantifier from ? to * in combo.ts, comboAgentMiddleware.ts, and contextHandoff.ts to greedily strip all JSON-escaped newline sequences surrounding <omniModel> tags in SSE streaming chunks - Added \r to the character class for cross-platform robustness - Fixed Playwright strict-mode violation in combo-unification.spec.ts - Bumped OpenAPI version and CHANGELOG to 3.6.6 * fix: 3 bugs found during issue triage (#1175, #1187/#1218, #1202) - fix(gemini): strip VS Code JSON Schema extensions from tool schemas (#1175) Add enumDescriptions, markdownDescription, markdownEnumDescriptions, enumItemLabels and tags to UNSUPPORTED_SCHEMA_CONSTRAINTS so the Gemini sanitizer removes them before forwarding. GitHub Copilot injects these non-standard fields into tool definitions, causing Gemini to reject with 'Unknown name enumDescriptions at functionDeclarations[n].parameters'. - fix(health-check): unwrap proxy config object before passing to getAccessToken (#1187 #1218) resolveProxyForConnection() returns { proxy, level, levelId } but the health check loop was passing the full wrapper to getAccessToken(), which expects the inner config object (.host, .port etc). The proxy dispatcher validated .host on the wrapper (undefined) and threw 'Context proxy host is required', silently marking every connection as unhealthy every sweep. Fix mirrors the pattern already used in chatHelpers.ts: proxyResult?.proxy || null. - fix(ui): debounce models.dev sync interval slider to save only on release (#1202) The slider's onChange fired updateInterval() on every drag tick, sending a PATCH per pixel of movement. Rapid API responses overwrote UI state mid-drag. Introduce draftIntervalHours for smooth visual feedback; the PATCH fires on onMouseUp / onBlur once the user releases the control. * fix(providers): update Xiaomi MiMo token-plan endpoints (#1238) Integrated into release/v3.6.6 * fix(cc-compatible): trim beta flags and preserve cache passthrough (#1230) Integrated into release/v3.6.6 * feat(memory+skills): full-featured memory & skills systems with tests (#1228) Integrated into release/v3.6.6 * fix: forward client x-initiator header to GitHub Copilot upstream (#1227) Integrated into release/v3.6.6 * feat(bailian-quota): add Alibaba Coding Plan quota monitoring (#1235) * fix: resolve v3.6.6 backlog bugs (#1206, #1211, #1220, #1231) - fix(core): #1206 inject startup guard against app/ and src/app/ conflict - fix(health): #1220 add HEALTHCHECK_STAGGER_MS to prevent token refresh bursting - fix(proxy): #1231 prioritize HTTP 429 over quota body heuristics - fix(sse): #1211 strip leading double-newlines in responses API stream * fix(tests): resolve memory migration and skills route pagination bugs from PR overlaps * docs: Update CHANGELOG.md with v3.6.6 features (#1182, #1165, #1177) * chore(release): bump version to 3.6.6 Update package versions for the electron app and open-sse package. Sync llm.txt metadata and feature headings with the 3.6.6 release. * feat(core): harden outbound provider calls and add cooldown retries Add guarded outbound fetch helpers with private/local URL blocking, controlled retries, timeout normalization, and route-level status propagation for provider validation and model discovery. Introduce cooldown-aware chat retries with configurable requestRetry and maxRetryIntervalSec settings, model-scoped cooldown responses, and improved rate-limit learning from headers and error bodies so short upstream lockouts can recover automatically. Also align Antigravity and Codex header handling, require API keys for Pollinations, validate web runtime env at startup, restore sanitized Gemini tool names in translated responses, and inject a synthetic Claude text block when upstream SSE completes empty. * feat(models): add glmt preset and hybrid token counting Introduce GLM Thinking as a first-class provider preset with shared GLM model metadata, pricing, usage sync, dashboard support, and provider request defaults for higher token budgets and longer timeouts. Use provider-side /messages/count_tokens when a Claude-compatible upstream supports it, while preserving estimated fallback behavior for missing models, missing credentials, and upstream failures. Also add startup seeding for default model aliases and normalize common cross-proxy model dialects so canonical slashful model ids do not get misrouted during resolution. * feat(api): add sync tokens and v1 websocket bridge Add dedicated sync token storage, issuance, revocation, and bundle download routes backed by stable config bundle versioning and ETag support. Expose the v1 websocket handshake route and custom Next server bridge so OpenAI-compatible websocket traffic can be upgraded and proxied through the dashboard and API bridge. Expand compliance auditing with structured metadata, pagination, request context, auth and provider credential events, and SSRF-blocked validation logging. * docs: Update all documentation for v3.6.6 - CHANGELOG: Add WebSocket bridge, GLM Thinking preset, safe outbound fetch/SSRF guard, cooldown-aware retries, compliance audit v2, model alias seeding, and all Internal Improvements for the 3 new commits - README: Expand v3.6.x highlights table with 10 new features; add SafeOutboundFetch, CooldownAwareRetry, SSRF guard, TPS metric, sync tokens, WebSocket bridge to Resilience/Observability/Deployment tables - ARCHITECTURE: Bump date; add new modules to executive summary, API routes, SSE core services, Auth/Security section; add SSRF/Outbound guard failure mode (section 6); expand module mapping - ENVIRONMENT: Add OMNIROUTE_CRYPT_KEY/OMNIROUTE_API_KEY_BASE64 legacy aliases, OUTBOUND_SSRF_GUARD_ENABLED, CODEX_CLIENT_VERSION, and REQUEST_RETRY/MAX_RETRY_INTERVAL_SEC cooldown retry settings - FEATURES: Add 6 new feature sections — V1 WebSocket Bridge, Sync Tokens & Config Bundle, GLM Thinking Preset, Safe Outbound Fetch & SSRF Guard, Cooldown-Aware Retries, Compliance Audit v2 * fix: use api64 for proxy test (#1255) Integrated into release/v3.6.6 — IPv6 proxy test fix * fix(page): update custom models section to include all providers #1200 (#1256) Integrated into release/v3.6.6 — Gemini custom model picker fix * fix: provide default client_id fallbacks to prevent broken OAuth requests (#1246) Integrated into release/v3.6.6 — OAuth client_id default fallbacks * fix: translate max_tokens/max_completion_tokens → max_output_tokens in Chat→Responses translator (#1245) Integrated into release/v3.6.6 — max_tokens → max_output_tokens Responses API translation + unit tests * feat(oauth): support cursor-agent CLI as Cursor credential source (#1258) Integrated into release/v3.6.6 — cursor-agent CLI credential source support * fix(cc-compatible): restore upstream SSE and correct stream/combo timeout behavior (#1257) Integrated into release/v3.6.6 — CC-compatible upstream SSE restore + stream timeout fix + README table repair * fix(cli-tools): resolve API key resolution and model mapping bugs in CLI tools (#1263) Integrated into release/v3.6.6 * feat(cli-tools): add Qwen Code CLI integration (#1266) Integrated into release/v3.6.6 * fix(i18n): add missing zh-CN translations and fix logger imports (#1269) Integrated into release/v3.6.6 * fix(i18n): add Chinese i18n support to dashboard components (#1274) Integrated into release/v3.6.6 * feat: update Pollinations to require API key, remove free tier flag (#1177) * feat: friendly error messages for crypto/encryption failures (#1165) * feat: add TPS (tokens per second) metric column to request logs (#1182) * feat: merge custom/imported models into filter list for all providers (#1191) * feat(fallback): Fix provider-profile-driven lockouts (#1267) This integrates rdself's unify-provider-profile-locks PR manually to handle structural conflicts. * fix(claude): proper Anthropic SDK integration (#1271) * fix(healthcheck): use correct proxy wrapper format for getAccessToken (#1272) * chore(release): v3.6.6 — skills registry stability fix + final integration * fix(auth): harden bootstrap auth and memory dashboard behavior Restrict unauthenticated writes to /api/settings/require-login to the initial bootstrap window while keeping read-only checks public. This prevents post-setup config changes without blocking first-run login setup, and the onboarding flow now logs in immediately after setting the password. Restore memory API filtering and pagination behavior by supporting q searches, honoring offset-based requests, and avoiding unrelated fallback results when FTS misses. Update dashboard stats fallback to use the response totals consistently. Package the MCP server with explicit file entries and add regression tests for bootstrap auth and memory route behavior * fix(codex): remove max_output_tokens from body for compatibility * chore(release): v3.6.6 — include PR 1274 fixes in changelog * chore: exclude additional build artifacts and internal directories from npm package distribution * fix: update Gemini OAuth test to match registry defaults + codex UI improvements * fix: restore .mjs refs for scripts/ in test imports after ts migration * fix: restore next.config.mjs ref in dev-origins test * fix: implement db migration safety checks and codex config format * fix: disable mass-migration abort during unit tests based on auto-backup flag * fix: update script regex in auto-update tests to use .mjs * feat: Add Perplexity Web (Session) provider (#1289) Integrated into release/v3.6.6 * fix(cli): resolve codex routing config parsing, standardize select model button positioning, and clarify oauth documentation * docs(changelog): record recent cli, provider, and test updates Document the latest fixes for Codex routing configuration parsing and Lobehub provider icon fallback behavior. Add the note that the remaining JavaScript test files were migrated to TypeScript ES modules to reflect the completed test stack transition. * chore(release): merge #1286 minor improvements manually to avoid testing conflict * chore(test): rename perplexity-web.test.mjs to .ts to maintain 100% TS codebase * chore(docs): update CHANGELOG.md for perplexity-web provider * fix(security): resolve CodeQL incomplete URL substring sanitization via URL parsing in test mocks * fix: integrate compressContext() into chatCore.ts request pipeline Proactively compress oversized contexts before sending to upstream providers, preventing context_length_exceeded errors. Compression triggers at 85% of model's context limit using the existing 3-layer compressContext() function. - Import compressContext, estimateTokens, getTokenLimit from contextManager - Add compression check after translation, before executor dispatch - Estimate tokens and compare against 85% threshold of model's context limit - Apply 3-layer compression (trim tools, compress thinking, purify history) - Log compression events with before/after token counts and layers applied - Audit compression events for observability - Add unit tests verifying integration behavior Closes #1290 * fix(tests): align reasoning expectations with GLM thinking structure * fix: prevent orphaned tool_result messages in purifyHistory() When purifyHistory() drops oldest messages to fit context window, it can split tool_use/tool_result pairs — keeping the tool_result but dropping the tool_use that initiated it. This causes upstream providers to reject the request with format errors. Add fixToolPairs() that runs after each purification pass to remove: - OpenAI format: orphaned role='tool' messages without matching tool_calls ID - Claude format: orphaned tool_result content blocks without matching tool_use ID Closes #1291 * fix(tests): supply tool_use in mock so it is not dropped * chore: convert remaining test to TypeScript * fix(tests): restore compatibility with compressContext threshold test after tsx migration * docs: finalize v3.6.6 release documentation * fix(core): finalize provider removal, type issues, and codex API key config * fix(dashboard): render Web/Cookie, Search, Audio provider sections and fix TypeScript errors * fix: increase MCP web_search timeout to 60s (#1278) * fix: route combo testing properly for embedding models (#1260) * fix: accumulate excluded accounts in combo fallback loop (#1233) * fix: strip leading whitespace and newlines from first streaming chunk (#1211) * docs: clarify VPS and Docker settings for OAuth credentials (#1204) * fix: return real retry-after for pipeline gates (#1301) Integrated into release/v3.6.6 — returns real Retry-After values from pipeline gates * feat: streaming semantic cache, Cursor auto-version detection, and call-log enhancements (#1296) Integrated into release/v3.6.6 — streaming semantic cache, Cursor auto-version detection, call-log cache_source tracking * feat(api): support more OpenAI types (image, embeddings, audio-transcriptions, audio-speech) (#1297) Integrated into release/v3.6.6 — adds embeddings, audio-transcriptions, audio-speech, and images-generations support for custom OpenAI-compatible providers, plus Pollinations image registry * deps: bump hono from 4.12.12 to 4.12.14 (#1302) Integrated into release/v3.6.6 * deps: bump hono from 4.12.12 to 4.12.14 (#1306) Integrated into release/v3.6.6 * chore: stabilization fixes for v3.6.6 (#1298, #1254, #59, CI) * fix(providers): match correct endpoint for Xiaomi MiMo, strip routing prefix for custom openai endpoints (#1303, #1261) * feat(storage): add database backup cleanup controls * chore(release): v3.6.6 — Final Stabilization Push * Backport call log storage refactor to release/v3.6.6 (#1307) Integrated into release/v3.6.6 * deps: update dompurify to 3.4.0 to resolve CVE-XYZ (#60) * test: disable sqlite auto backup in CI to resolve E2E timeout (#24481475058) * chore(docs): sync CHANGELOG for v3.6.6 with missing features and fixes * chore(release): prep v3.6.6 infrastructure and type safety fixes - Migrated legacy .mjs scripts to .ts (bin, prepublish, policies) - Resolved pre-commit strict lint (t11 budget) errors in combo.ts - Explicitly typed all TS bindings in pack-artifact policies - Updated package.json commands to run Node via tsx/esm internally - Hardened CI/CD with explicit node version 22.22.2 checks - Completed stage validations for v3.6.6 final release * chore: fix TS build errors and e2e timeouts in CI - Migrate nodeRuntimeSupport to TS interfaces avoiding implicit any - Increase visibility timeouts in skills-marketplace E2E test to 15s to bypass CI flakiness - Complete migration of .mjs scripts to .ts ensuring type safety * chore(release): sync package version 3.6.6 across workspaces * test(e2e): universally increase UI component visibility timeouts from 5s to 15s to bypass CI starvation * chore(build): inject baseUrl, paths, and types:node into MITM tsconfig within prepublish hook to fix missing types in CI check --------- Co-authored-by: diegosouzapw <diegosouzapw@users.noreply.github.com> Co-authored-by: Jack <5443152+hijak@users.noreply.github.com> Co-authored-by: Randi <55005611+rdself@users.noreply.github.com> Co-authored-by: Paijo <14921983+oyi77@users.noreply.github.com> Co-authored-by: Samuel Cedric <ceds.sam@gmail.com> Co-authored-by: Max Garmash <max@37bytes.com> Co-authored-by: Markus Hartung <mail@hartmark.se> Co-authored-by: Gi99lin <74502520+Gi99lin@users.noreply.github.com> Co-authored-by: Payne <baboialex95@gmail.com> Co-authored-by: Benson K B <bensonkbmca@gmail.com> Co-authored-by: clousky2020 <33016567+clousky2020@users.noreply.github.com> Co-authored-by: Ravi Tharuma <25951435+RaviTharuma@users.noreply.github.com> Co-authored-by: oyi77 <oyi77@users.noreply.github.com> Co-authored-by: Hdsje <vovan877@gmail.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: xiaoge1688 <moyekongling@gmail.com>
658 lines
21 KiB
TypeScript
658 lines
21 KiB
TypeScript
/**
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* Rate Limit Manager — Adaptive rate limiting using Bottleneck
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*
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* Creates per-provider+connection limiters that auto-learn rate limits
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* from API response headers (x-ratelimit-*, retry-after, anthropic-ratelimit-*).
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*
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* Default: ENABLED for API key providers (safety net), DISABLED for OAuth.
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* Can be toggled per provider connection via dashboard.
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*/
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import Bottleneck from "bottleneck";
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import { parseRetryAfterFromBody, lockModel } from "./accountFallback.ts";
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import { getProviderCategory } from "../config/providerRegistry.ts";
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import { DEFAULT_API_LIMITS } from "../config/constants.ts";
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import { getCodexRateLimitKey } from "../executors/codex.ts";
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interface LearnedLimitEntry {
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provider: string;
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connectionId: string;
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lastUpdated: number;
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limit?: number;
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remaining?: number;
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minTime?: number;
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}
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interface LimiterUpdateSettings {
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minTime: number;
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reservoir?: number | null;
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reservoirRefreshAmount?: number | null;
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reservoirRefreshInterval?: number | null;
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}
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type JsonRecord = Record<string, unknown>;
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function toRecord(value: unknown): JsonRecord {
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return value && typeof value === "object" && !Array.isArray(value) ? (value as JsonRecord) : {};
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}
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function toNumber(value: unknown, fallback = 0): number {
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const parsed =
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typeof value === "number"
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? value
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: typeof value === "string" && value.trim().length > 0
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? Number(value)
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: Number.NaN;
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return Number.isFinite(parsed) ? parsed : fallback;
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}
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// Store limiters keyed by "provider:connectionId" (and optionally ":model")
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const limiters = new Map<string, Bottleneck>();
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// Store connections that have rate limit protection enabled
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const enabledConnections = new Set<string>();
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// Store learned limits for persistence (debounced)
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const learnedLimits: Record<string, LearnedLimitEntry> = {};
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let persistTimer: ReturnType<typeof setTimeout> | null = null;
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const pendingAsyncOperations = new Set<Promise<unknown>>();
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const PERSIST_DEBOUNCE_MS = 60_000; // Debounce persistence to every 60s max
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// Track initialization
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let initialized = false;
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// Max time (ms) a job can wait in queue before failing with a timeout error.
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// Prevents infinite queuing when all providers are exhausted after a 429.
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// Configurable via RATE_LIMIT_MAX_WAIT_MS env var (default: 2 minutes).
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const MAX_WAIT_MS = parseInt(process.env.RATE_LIMIT_MAX_WAIT_MS || "120000", 10);
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// Default conservative settings (before we learn from headers)
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const DEFAULT_SETTINGS = {
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maxConcurrent: 10,
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minTime: 0, // No throttle by default — let headers teach us
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reservoir: null, // No initial reservoir — unlimited until we learn
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reservoirRefreshAmount: null,
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reservoirRefreshInterval: null,
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maxWait: MAX_WAIT_MS, // Fail-fast: don't queue forever on 429 exhaustion
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};
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function trackAsyncOperation<T>(promise: Promise<T>): Promise<T> {
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pendingAsyncOperations.add(promise);
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promise.finally(() => {
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pendingAsyncOperations.delete(promise);
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});
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return promise;
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}
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/**
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* Initialize rate limit protection from persisted connection settings.
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* Called once on app startup.
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*/
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export async function initializeRateLimits() {
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if (initialized) return;
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initialized = true;
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try {
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const { getProviderConnections } = await import("@/lib/localDb");
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const connections = await getProviderConnections();
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let explicitCount = 0;
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let autoCount = 0;
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let customCount = 0;
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for (const connRaw of connections as unknown[]) {
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const conn = toRecord(connRaw);
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const connectionId = typeof conn.id === "string" ? conn.id : "";
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const provider = typeof conn.provider === "string" ? conn.provider : "";
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const isActive = conn.isActive === true;
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const rateLimitProtection = conn.rateLimitProtection === true;
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const customRpm = toNumber(conn.customRpm, 0);
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const customTpm = toNumber(conn.customTpm, 0);
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if (!connectionId || !provider) continue;
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// Custom rpm/tpm configured — enable rate limiting with user-defined values (#198)
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if (customRpm > 0 || customTpm > 0) {
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enabledConnections.add(connectionId);
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customCount++;
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const key = `${provider}:${connectionId}`;
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const rpm = customRpm > 0 ? customRpm : DEFAULT_API_LIMITS.requestsPerMinute;
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const minTime = Math.max(0, Math.floor(60000 / rpm) - 10);
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if (!limiters.has(key)) {
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limiters.set(
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key,
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new Bottleneck({
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maxConcurrent: DEFAULT_API_LIMITS.concurrentRequests,
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minTime,
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reservoir: rpm,
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reservoirRefreshAmount: rpm,
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reservoirRefreshInterval: 60 * 1000,
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maxWait: MAX_WAIT_MS,
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id: key,
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})
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);
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}
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} else if (rateLimitProtection) {
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// Explicitly enabled by user
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enabledConnections.add(connectionId);
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explicitCount++;
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} else if (getProviderCategory(provider) === "apikey" && isActive) {
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// Auto-enable for API key providers (safety net)
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enabledConnections.add(connectionId);
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autoCount++;
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// Create a pre-configured limiter with conservative defaults
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const key = `${provider}:${connectionId}`;
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if (!limiters.has(key)) {
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limiters.set(
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key,
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new Bottleneck({
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maxConcurrent: DEFAULT_API_LIMITS.concurrentRequests,
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minTime: DEFAULT_API_LIMITS.minTimeBetweenRequests,
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reservoir: DEFAULT_API_LIMITS.requestsPerMinute,
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reservoirRefreshAmount: DEFAULT_API_LIMITS.requestsPerMinute,
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reservoirRefreshInterval: 60 * 1000, // Refresh every minute
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maxWait: MAX_WAIT_MS,
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id: key,
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})
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);
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}
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}
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}
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if (explicitCount > 0 || autoCount > 0 || customCount > 0) {
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console.log(
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`🛡️ [RATE-LIMIT] Loaded ${explicitCount} explicit + ${autoCount} auto-enabled + ${customCount} custom rpm/tpm protection(s)`
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);
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}
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// Load persisted learned limits
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await loadPersistedLimits();
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} catch (err) {
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console.error("[RATE-LIMIT] Failed to load settings:", err.message);
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}
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}
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/**
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* Enable rate limit protection for a connection
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*/
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export function enableRateLimitProtection(connectionId) {
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enabledConnections.add(connectionId);
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}
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/**
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* Disable rate limit protection for a connection
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*/
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export function disableRateLimitProtection(connectionId) {
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enabledConnections.delete(connectionId);
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// Clean up limiters for this connection
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for (const [key] of limiters) {
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if (key.includes(connectionId)) {
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const limiter = limiters.get(key);
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limiter?.disconnect();
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limiters.delete(key);
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}
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}
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}
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/**
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* Check if rate limit protection is enabled for a connection
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*/
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export function isRateLimitEnabled(connectionId) {
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return enabledConnections.has(connectionId);
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}
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/**
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* Get or create a limiter for a given provider+connection combination
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*/
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function getLimiterKey(provider, connectionId, model = null) {
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if (provider === "codex" && model) {
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return `${provider}:${getCodexRateLimitKey(connectionId, model)}`;
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}
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// Gemini AI Studio has per-model quotas — use model-scoped limiter keys
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// so a 429 on one model doesn't pause requests for other models.
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if (provider === "gemini" && model) {
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return `${provider}:${connectionId}:${model}`;
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}
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return `${provider}:${connectionId}`;
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}
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function getLimiter(provider, connectionId, model = null) {
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const key = getLimiterKey(provider, connectionId, model);
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if (!limiters.has(key)) {
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const limiter = new Bottleneck({
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...DEFAULT_SETTINGS,
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id: key,
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});
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// Log when jobs are queued
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limiter.on("queued", () => {
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const counts = limiter.counts();
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if (counts.QUEUED > 0) {
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console.log(
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`⏳ [RATE-LIMIT] ${key} — ${counts.QUEUED} request(s) queued, ${counts.RUNNING} running`
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);
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}
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});
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limiters.set(key, limiter);
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}
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return limiters.get(key);
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}
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/**
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* Acquire a rate limit slot before making a request.
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* If rate limiting is disabled for this connection, returns immediately.
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*
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* @param {string} provider - Provider ID
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* @param {string} connectionId - Connection ID
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* @param {string} model - Model name (optional, for per-model limits)
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* @param {Function} fn - The async function to execute (e.g., executor.execute)
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* @returns {Promise<unknown>} Result of fn()
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*/
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export async function withRateLimit(provider, connectionId, model, fn) {
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if (!enabledConnections.has(connectionId)) {
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return fn();
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}
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const limiter = getLimiter(provider, connectionId, model);
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|
return limiter.schedule(fn);
|
|
}
|
|
|
|
// ─── 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,
|
|
});
|
|
|
|
// Also apply model-level lockout if model is known
|
|
if (model) {
|
|
lockModel(provider, connectionId, model, reason, retryAfterMs);
|
|
}
|
|
}
|
|
}
|