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This commit is contained in:
wehub-resource-sync
2026-07-13 13:20:55 +08:00
commit d25d482dc2
13754 changed files with 4996608 additions and 0 deletions
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import { sleep } from '@sim/utils/helpers'
import { afterEach, beforeEach, describe, expect, it, type Mock, vi } from 'vitest'
import type {
ConsumeResult,
RateLimitStorageAdapter,
TokenStatus,
} from '@/lib/core/rate-limiter/storage'
import { HostedKeyRateLimiter } from './hosted-key-rate-limiter'
import { HEARTBEAT_REFRESH_INTERVAL_MS, type HostedKeyQueue } from './queue'
import type { CustomRateLimit, PerRequestRateLimit } from './types'
/** Force the queue wait to give up on the first iteration by reporting a retry time
* larger than the 5-minute MAX_QUEUE_WAIT_MS cap. */
const RETRY_PAST_CAP_MS = 6 * 60 * 1000
interface MockAdapter {
consumeTokens: Mock
getTokenStatus: Mock
resetBucket: Mock
}
const createMockAdapter = (): MockAdapter => ({
consumeTokens: vi.fn(),
getTokenStatus: vi.fn(),
resetBucket: vi.fn(),
})
interface MockQueue {
enqueue: Mock
checkHead: Mock
refreshHeartbeat: Mock
dequeue: Mock
}
/** Stub queue that defaults to "you're at the head, no waiting" — i.e. acts as if the
* queue is empty or Redis is unavailable. Tests override per-call to simulate ordering. */
const createMockQueue = (): MockQueue => {
const queue: MockQueue = {
enqueue: vi.fn().mockResolvedValue({ position: 0, enabled: true }),
checkHead: vi.fn().mockResolvedValue('head'),
refreshHeartbeat: vi.fn().mockResolvedValue(undefined),
dequeue: vi.fn().mockResolvedValue(undefined),
}
return queue
}
describe('HostedKeyRateLimiter', () => {
const testProvider = 'exa'
const envKeyPrefix = 'EXA_API_KEY'
let mockAdapter: MockAdapter
let mockQueue: MockQueue
let rateLimiter: HostedKeyRateLimiter
let originalEnv: NodeJS.ProcessEnv
const perRequestRateLimit: PerRequestRateLimit = {
mode: 'per_request',
requestsPerMinute: 10,
}
beforeEach(() => {
vi.clearAllMocks()
mockAdapter = createMockAdapter()
mockQueue = createMockQueue()
rateLimiter = new HostedKeyRateLimiter(
mockAdapter as RateLimitStorageAdapter,
mockQueue as unknown as HostedKeyQueue
)
originalEnv = { ...process.env }
process.env.EXA_API_KEY_COUNT = '3'
process.env.EXA_API_KEY_1 = 'test-key-1'
process.env.EXA_API_KEY_2 = 'test-key-2'
process.env.EXA_API_KEY_3 = 'test-key-3'
})
afterEach(() => {
process.env = originalEnv
})
describe('acquireKey', () => {
it('should return error when no keys are configured', async () => {
const allowedResult: ConsumeResult = {
allowed: true,
tokensRemaining: 9,
resetAt: new Date(Date.now() + 60000),
}
mockAdapter.consumeTokens.mockResolvedValue(allowedResult)
process.env.EXA_API_KEY_COUNT = undefined
process.env.EXA_API_KEY_1 = undefined
process.env.EXA_API_KEY_2 = undefined
process.env.EXA_API_KEY_3 = undefined
const result = await rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
perRequestRateLimit,
'workspace-1'
)
expect(result.success).toBe(false)
expect(result.error).toContain('No hosted keys configured')
})
it('should rate limit billing actor when wait exceeds the queue cap', async () => {
// resetAt past the 5-minute cap forces the wait loop to bail immediately.
const rateLimitedResult: ConsumeResult = {
allowed: false,
tokensRemaining: 0,
resetAt: new Date(Date.now() + RETRY_PAST_CAP_MS),
}
mockAdapter.consumeTokens.mockResolvedValue(rateLimitedResult)
const result = await rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
perRequestRateLimit,
'workspace-123'
)
expect(result.success).toBe(false)
expect(result.billingActorRateLimited).toBe(true)
expect(result.retryAfterMs).toBeDefined()
expect(result.error).toContain('Rate limit exceeded')
})
it('should wait for capacity then succeed when bucket refills within the cap', async () => {
// First call: bucket empty, refills in 100ms (well under cap).
// Second call: bucket has capacity, consumed.
const blocked: ConsumeResult = {
allowed: false,
tokensRemaining: 0,
resetAt: new Date(Date.now() + 100),
}
const allowed: ConsumeResult = {
allowed: true,
tokensRemaining: 9,
resetAt: new Date(Date.now() + 60000),
}
mockAdapter.consumeTokens.mockResolvedValueOnce(blocked).mockResolvedValueOnce(allowed)
const result = await rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
perRequestRateLimit,
'workspace-wait'
)
expect(result.success).toBe(true)
expect(result.key).toBe('test-key-1')
expect(mockAdapter.consumeTokens).toHaveBeenCalledTimes(2)
})
it('should allow billing actor within their rate limit', async () => {
const allowedResult: ConsumeResult = {
allowed: true,
tokensRemaining: 9,
resetAt: new Date(Date.now() + 60000),
}
mockAdapter.consumeTokens.mockResolvedValue(allowedResult)
const result = await rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
perRequestRateLimit,
'workspace-123'
)
expect(result.success).toBe(true)
expect(result.billingActorRateLimited).toBeUndefined()
expect(result.key).toBe('test-key-1')
})
it('should distribute requests across keys round-robin style', async () => {
const allowedResult: ConsumeResult = {
allowed: true,
tokensRemaining: 9,
resetAt: new Date(Date.now() + 60000),
}
mockAdapter.consumeTokens.mockResolvedValue(allowedResult)
const r1 = await rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
perRequestRateLimit,
'workspace-1'
)
const r2 = await rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
perRequestRateLimit,
'workspace-2'
)
const r3 = await rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
perRequestRateLimit,
'workspace-3'
)
const r4 = await rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
perRequestRateLimit,
'workspace-4'
)
expect(r1.keyIndex).toBe(0)
expect(r2.keyIndex).toBe(1)
expect(r3.keyIndex).toBe(2)
expect(r4.keyIndex).toBe(0) // Wraps back
})
it('should handle partial key availability', async () => {
const allowedResult: ConsumeResult = {
allowed: true,
tokensRemaining: 9,
resetAt: new Date(Date.now() + 60000),
}
mockAdapter.consumeTokens.mockResolvedValue(allowedResult)
process.env.EXA_API_KEY_2 = undefined
const result = await rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
perRequestRateLimit,
'workspace-1'
)
expect(result.success).toBe(true)
expect(result.key).toBe('test-key-1')
expect(result.envVarName).toBe('EXA_API_KEY_1')
const r2 = await rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
perRequestRateLimit,
'workspace-2'
)
expect(r2.keyIndex).toBe(2) // Skips missing key 1
expect(r2.envVarName).toBe('EXA_API_KEY_3')
})
})
describe('FIFO queue ordering', () => {
const allowed: ConsumeResult = {
allowed: true,
tokensRemaining: 9,
resetAt: new Date(Date.now() + 60000),
}
it('enqueues every call onto the per-workspace+provider queue', async () => {
mockAdapter.consumeTokens.mockResolvedValue(allowed)
await rateLimiter.acquireKey(testProvider, envKeyPrefix, perRequestRateLimit, 'workspace-1')
expect(mockQueue.enqueue).toHaveBeenCalledWith(
testProvider,
'workspace-1',
expect.any(String)
)
})
it('always dequeues at the end of a successful acquisition', async () => {
mockAdapter.consumeTokens.mockResolvedValue(allowed)
await rateLimiter.acquireKey(testProvider, envKeyPrefix, perRequestRateLimit, 'workspace-1')
expect(mockQueue.dequeue).toHaveBeenCalledWith(
testProvider,
'workspace-1',
expect.any(String)
)
})
it('always dequeues even when the call fails (no keys configured)', async () => {
mockAdapter.consumeTokens.mockResolvedValue(allowed)
process.env.EXA_API_KEY_COUNT = '0'
await rateLimiter.acquireKey(testProvider, envKeyPrefix, perRequestRateLimit, 'workspace-1')
expect(mockQueue.dequeue).toHaveBeenCalled()
})
it('waits at the head of the queue before consuming from the bucket', async () => {
mockAdapter.consumeTokens.mockResolvedValue(allowed)
// First two checkHead calls say we're waiting; third says we're up.
mockQueue.checkHead
.mockResolvedValueOnce('waiting')
.mockResolvedValueOnce('waiting')
.mockResolvedValueOnce('head')
const result = await rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
perRequestRateLimit,
'workspace-1'
)
expect(result.success).toBe(true)
expect(mockQueue.checkHead).toHaveBeenCalledTimes(3)
// Bucket is only consumed once we reach the head.
expect(mockAdapter.consumeTokens).toHaveBeenCalledTimes(1)
})
it('refreshes the heartbeat while waiting at the head of the queue', async () => {
mockAdapter.consumeTokens.mockResolvedValue(allowed)
// We need the wait loop to iterate long enough for HEARTBEAT_REFRESH_INTERVAL_MS
// to elapse. Use fake timers so we don't actually sleep.
vi.useFakeTimers()
try {
// Queue says we're waiting forever — except after some time we're at head.
mockQueue.checkHead.mockImplementation(async () => {
// Advance past the heartbeat interval each time we poll, then say we're up.
vi.advanceTimersByTime(15_000)
return mockQueue.checkHead.mock.calls.length >= 2 ? 'head' : 'waiting'
})
const promise = rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
perRequestRateLimit,
'workspace-1'
)
// Drain pending timers so the sleep() resolves.
await vi.runAllTimersAsync()
await promise
expect(mockQueue.refreshHeartbeat).toHaveBeenCalled()
} finally {
vi.useRealTimers()
}
})
it('returns 429 when the queue wait exceeds the cap', async () => {
mockAdapter.consumeTokens.mockResolvedValue(allowed)
mockQueue.checkHead.mockResolvedValue('waiting')
vi.useFakeTimers()
try {
const promise = rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
perRequestRateLimit,
'workspace-1'
)
// Burn past the 5-minute cap.
await vi.advanceTimersByTimeAsync(6 * 60 * 1000)
const result = await promise
expect(result.success).toBe(false)
expect(result.billingActorRateLimited).toBe(true)
} finally {
vi.useRealTimers()
}
})
it('treats "missing" status as proceed (queue evicted, fall through to bucket race)', async () => {
mockAdapter.consumeTokens.mockResolvedValue(allowed)
mockQueue.checkHead.mockResolvedValueOnce('missing')
const result = await rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
perRequestRateLimit,
'workspace-1'
)
expect(result.success).toBe(true)
})
})
describe('execution-budget-bounded waits', () => {
it('bails immediately when the execution signal is already aborted', async () => {
const blocked: ConsumeResult = {
allowed: false,
tokensRemaining: 0,
resetAt: new Date(Date.now() + 100),
}
mockAdapter.consumeTokens.mockResolvedValue(blocked)
const result = await rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
perRequestRateLimit,
'workspace-1',
AbortSignal.abort()
)
expect(result.success).toBe(false)
expect(result.billingActorRateLimited).toBe(true)
// Aborted budget => give up on the first bucket check rather than looping.
expect(mockAdapter.consumeTokens).toHaveBeenCalledTimes(1)
})
it('stops waiting promptly when the signal aborts mid-sleep', async () => {
// Bucket reports a long refill, so the wait sleeps up to the heartbeat cap (10s).
// Aborting mid-sleep must wake the wait within a tick, not after the full interval.
const blocked: ConsumeResult = {
allowed: false,
tokensRemaining: 0,
resetAt: new Date(Date.now() + 10_000),
}
mockAdapter.consumeTokens.mockResolvedValue(blocked)
const controller = new AbortController()
const start = Date.now()
const promise = rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
perRequestRateLimit,
'workspace-1',
controller.signal
)
// Let the first bucket check run and the sleep begin, then abort.
await sleep(20)
controller.abort()
const result = await promise
expect(result.success).toBe(false)
expect(result.billingActorRateLimited).toBe(true)
// Resolved well before the 10s capped sleep would otherwise have elapsed.
expect(Date.now() - start).toBeLessThan(2000)
})
it('keeps waiting past the no-signal fallback cap while the signal is live', async () => {
// A live (non-aborted) signal means the run still has budget, so the wait must not
// 429 at the 5-minute MAX_QUEUE_WAIT_MS fallback. The bucket frees up after ~7 min.
const blocked: ConsumeResult = {
allowed: false,
tokensRemaining: 0,
resetAt: new Date(Date.now() + 10_000),
}
const allowedResult: ConsumeResult = {
allowed: true,
tokensRemaining: 9,
resetAt: new Date(Date.now() + 60_000),
}
mockAdapter.consumeTokens.mockResolvedValue(blocked)
vi.useFakeTimers()
try {
const promise = rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
perRequestRateLimit,
'workspace-1',
new AbortController().signal
)
// Burn well past the 5-minute fallback cap — without a signal this would have 429'd.
await vi.advanceTimersByTimeAsync(7 * 60 * 1000)
mockAdapter.consumeTokens.mockResolvedValue(allowedResult)
await vi.advanceTimersByTimeAsync(HEARTBEAT_REFRESH_INTERVAL_MS)
const result = await promise
expect(result.success).toBe(true)
expect(result.key).toBe('test-key-1')
} finally {
vi.useRealTimers()
}
})
it('refreshes the heartbeat during a long low-RPM bucket wait', async () => {
// Provider with a long refill (retryAfterMs >> heartbeat TTL). The sleep must be
// capped so the heartbeat is renewed and the head is not reaped mid-wait.
const blocked: ConsumeResult = {
allowed: false,
tokensRemaining: 0,
resetAt: new Date(Date.now() + 60_000),
}
const allowedResult: ConsumeResult = {
allowed: true,
tokensRemaining: 0,
resetAt: new Date(Date.now() + 60_000),
}
mockAdapter.consumeTokens.mockResolvedValue(blocked)
vi.useFakeTimers()
try {
const promise = rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
perRequestRateLimit,
'workspace-1',
new AbortController().signal
)
await vi.advanceTimersByTimeAsync(3 * HEARTBEAT_REFRESH_INTERVAL_MS)
mockAdapter.consumeTokens.mockResolvedValue(allowedResult)
await vi.advanceTimersByTimeAsync(HEARTBEAT_REFRESH_INTERVAL_MS)
await promise
expect(mockQueue.refreshHeartbeat).toHaveBeenCalled()
} finally {
vi.useRealTimers()
}
})
})
describe('acquireKey with custom rate limit', () => {
const customRateLimit: CustomRateLimit = {
mode: 'custom',
requestsPerMinute: 5,
dimensions: [
{
name: 'tokens',
limitPerMinute: 1000,
extractUsage: (_params, response) => (response.tokenCount as number) ?? 0,
},
],
}
it('should enforce requestsPerMinute for custom mode when wait exceeds the cap', async () => {
const rateLimitedResult: ConsumeResult = {
allowed: false,
tokensRemaining: 0,
resetAt: new Date(Date.now() + RETRY_PAST_CAP_MS),
}
mockAdapter.consumeTokens.mockResolvedValue(rateLimitedResult)
const result = await rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
customRateLimit,
'workspace-1'
)
expect(result.success).toBe(false)
expect(result.billingActorRateLimited).toBe(true)
expect(result.error).toContain('Rate limit exceeded')
})
it('should allow request when actor request limit and dimensions have budget', async () => {
const allowedConsume: ConsumeResult = {
allowed: true,
tokensRemaining: 4,
resetAt: new Date(Date.now() + 60000),
}
mockAdapter.consumeTokens.mockResolvedValue(allowedConsume)
const budgetAvailable: TokenStatus = {
tokensAvailable: 500,
maxTokens: 2000,
lastRefillAt: new Date(),
nextRefillAt: new Date(Date.now() + 60000),
}
mockAdapter.getTokenStatus.mockResolvedValue(budgetAvailable)
const result = await rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
customRateLimit,
'workspace-1'
)
expect(result.success).toBe(true)
expect(result.key).toBe('test-key-1')
expect(mockAdapter.consumeTokens).toHaveBeenCalledTimes(1)
expect(mockAdapter.getTokenStatus).toHaveBeenCalledTimes(1)
})
it('should block request when a dimension wait exceeds the cap', async () => {
const allowedConsume: ConsumeResult = {
allowed: true,
tokensRemaining: 4,
resetAt: new Date(Date.now() + 60000),
}
mockAdapter.consumeTokens.mockResolvedValue(allowedConsume)
const depleted: TokenStatus = {
tokensAvailable: 0,
maxTokens: 2000,
lastRefillAt: new Date(),
nextRefillAt: new Date(Date.now() + RETRY_PAST_CAP_MS),
}
mockAdapter.getTokenStatus.mockResolvedValue(depleted)
const result = await rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
customRateLimit,
'workspace-1'
)
expect(result.success).toBe(false)
expect(result.billingActorRateLimited).toBe(true)
expect(result.error).toContain('tokens')
})
it('should wait for dimension capacity then succeed when budget refills', async () => {
const allowedConsume: ConsumeResult = {
allowed: true,
tokensRemaining: 4,
resetAt: new Date(Date.now() + 60000),
}
mockAdapter.consumeTokens.mockResolvedValue(allowedConsume)
const depleted: TokenStatus = {
tokensAvailable: 0,
maxTokens: 2000,
lastRefillAt: new Date(),
nextRefillAt: new Date(Date.now() + 100),
}
const refilled: TokenStatus = {
tokensAvailable: 500,
maxTokens: 2000,
lastRefillAt: new Date(),
nextRefillAt: new Date(Date.now() + 60000),
}
mockAdapter.getTokenStatus.mockResolvedValueOnce(depleted).mockResolvedValueOnce(refilled)
const result = await rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
customRateLimit,
'workspace-dim-wait'
)
expect(result.success).toBe(true)
expect(mockAdapter.getTokenStatus).toHaveBeenCalledTimes(2)
})
it('should pre-check all dimensions and block on first depleted one', async () => {
const multiDimensionConfig: CustomRateLimit = {
mode: 'custom',
requestsPerMinute: 10,
dimensions: [
{
name: 'tokens',
limitPerMinute: 1000,
extractUsage: (_p, r) => (r.tokenCount as number) ?? 0,
},
{
name: 'search_units',
limitPerMinute: 50,
extractUsage: (_p, r) => (r.searchUnits as number) ?? 0,
},
],
}
const allowedConsume: ConsumeResult = {
allowed: true,
tokensRemaining: 9,
resetAt: new Date(Date.now() + 60000),
}
mockAdapter.consumeTokens.mockResolvedValue(allowedConsume)
const tokensBudget: TokenStatus = {
tokensAvailable: 500,
maxTokens: 2000,
lastRefillAt: new Date(),
nextRefillAt: new Date(Date.now() + 60000),
}
const searchUnitsDepleted: TokenStatus = {
tokensAvailable: 0,
maxTokens: 100,
lastRefillAt: new Date(),
nextRefillAt: new Date(Date.now() + RETRY_PAST_CAP_MS),
}
mockAdapter.getTokenStatus
.mockResolvedValueOnce(tokensBudget)
.mockResolvedValueOnce(searchUnitsDepleted)
const result = await rateLimiter.acquireKey(
testProvider,
envKeyPrefix,
multiDimensionConfig,
'workspace-1'
)
expect(result.success).toBe(false)
expect(result.billingActorRateLimited).toBe(true)
expect(result.error).toContain('search_units')
})
})
describe('reportUsage', () => {
const customConfig: CustomRateLimit = {
mode: 'custom',
requestsPerMinute: 5,
dimensions: [
{
name: 'tokens',
limitPerMinute: 1000,
extractUsage: (_params, response) => (response.tokenCount as number) ?? 0,
},
],
}
it('should consume actual tokens from dimension bucket after execution', async () => {
const consumeResult: ConsumeResult = {
allowed: true,
tokensRemaining: 850,
resetAt: new Date(Date.now() + 60000),
}
mockAdapter.consumeTokens.mockResolvedValue(consumeResult)
const result = await rateLimiter.reportUsage(
testProvider,
'workspace-1',
customConfig,
{},
{ tokenCount: 150 }
)
expect(result.dimensions).toHaveLength(1)
expect(result.dimensions[0].name).toBe('tokens')
expect(result.dimensions[0].consumed).toBe(150)
expect(result.dimensions[0].allowed).toBe(true)
expect(result.dimensions[0].tokensRemaining).toBe(850)
expect(mockAdapter.consumeTokens).toHaveBeenCalledWith(
'hosted:exa:actor:workspace-1:tokens',
150,
expect.objectContaining({ maxTokens: 2000, refillRate: 1000 })
)
})
it('should handle overdrawn bucket gracefully (optimistic concurrency)', async () => {
const overdrawnResult: ConsumeResult = {
allowed: false,
tokensRemaining: 0,
resetAt: new Date(Date.now() + 60000),
}
mockAdapter.consumeTokens.mockResolvedValue(overdrawnResult)
const result = await rateLimiter.reportUsage(
testProvider,
'workspace-1',
customConfig,
{},
{ tokenCount: 500 }
)
expect(result.dimensions[0].allowed).toBe(false)
expect(result.dimensions[0].consumed).toBe(500)
})
it('should skip consumption when extractUsage returns 0', async () => {
const result = await rateLimiter.reportUsage(
testProvider,
'workspace-1',
customConfig,
{},
{ tokenCount: 0 }
)
expect(result.dimensions).toHaveLength(1)
expect(result.dimensions[0].consumed).toBe(0)
expect(mockAdapter.consumeTokens).not.toHaveBeenCalled()
})
it('should handle multiple dimensions independently', async () => {
const multiConfig: CustomRateLimit = {
mode: 'custom',
requestsPerMinute: 10,
dimensions: [
{
name: 'tokens',
limitPerMinute: 1000,
extractUsage: (_p, r) => (r.tokenCount as number) ?? 0,
},
{
name: 'search_units',
limitPerMinute: 50,
extractUsage: (_p, r) => (r.searchUnits as number) ?? 0,
},
],
}
const tokensConsumed: ConsumeResult = {
allowed: true,
tokensRemaining: 800,
resetAt: new Date(Date.now() + 60000),
}
const searchConsumed: ConsumeResult = {
allowed: true,
tokensRemaining: 47,
resetAt: new Date(Date.now() + 60000),
}
mockAdapter.consumeTokens
.mockResolvedValueOnce(tokensConsumed)
.mockResolvedValueOnce(searchConsumed)
const result = await rateLimiter.reportUsage(
testProvider,
'workspace-1',
multiConfig,
{},
{ tokenCount: 200, searchUnits: 3 }
)
expect(result.dimensions).toHaveLength(2)
expect(result.dimensions[0]).toEqual({
name: 'tokens',
consumed: 200,
allowed: true,
tokensRemaining: 800,
})
expect(result.dimensions[1]).toEqual({
name: 'search_units',
consumed: 3,
allowed: true,
tokensRemaining: 47,
})
expect(mockAdapter.consumeTokens).toHaveBeenCalledTimes(2)
})
it('should continue with remaining dimensions if extractUsage throws', async () => {
const throwingConfig: CustomRateLimit = {
mode: 'custom',
requestsPerMinute: 10,
dimensions: [
{
name: 'broken',
limitPerMinute: 100,
extractUsage: () => {
throw new Error('extraction failed')
},
},
{
name: 'tokens',
limitPerMinute: 1000,
extractUsage: (_p, r) => (r.tokenCount as number) ?? 0,
},
],
}
const consumeResult: ConsumeResult = {
allowed: true,
tokensRemaining: 900,
resetAt: new Date(Date.now() + 60000),
}
mockAdapter.consumeTokens.mockResolvedValue(consumeResult)
const result = await rateLimiter.reportUsage(
testProvider,
'workspace-1',
throwingConfig,
{},
{ tokenCount: 100 }
)
expect(result.dimensions).toHaveLength(1)
expect(result.dimensions[0].name).toBe('tokens')
expect(mockAdapter.consumeTokens).toHaveBeenCalledTimes(1)
})
it('should handle storage errors gracefully', async () => {
mockAdapter.consumeTokens.mockRejectedValue(new Error('db connection lost'))
const result = await rateLimiter.reportUsage(
testProvider,
'workspace-1',
customConfig,
{},
{ tokenCount: 100 }
)
expect(result.dimensions).toHaveLength(0)
})
})
})
@@ -0,0 +1,695 @@
import { createLogger } from '@sim/logger'
import { sleep } from '@sim/utils/helpers'
import { generateShortId } from '@sim/utils/id'
import { getMaxExecutionTimeout } from '@/lib/core/execution-limits'
import {
createStorageAdapter,
type RateLimitStorageAdapter,
type TokenBucketConfig,
} from '@/lib/core/rate-limiter/storage'
import { PlatformEvents } from '@/lib/core/telemetry'
import { getHostedKeyQueue, HEARTBEAT_REFRESH_INTERVAL_MS, type HostedKeyQueue } from './queue'
import {
type AcquireKeyResult,
type CustomRateLimit,
DEFAULT_BURST_MULTIPLIER,
DEFAULT_WINDOW_MS,
type HostedKeyRateLimitConfig,
type ReportUsageResult,
toTokenBucketConfig,
} from './types'
const logger = createLogger('HostedKeyRateLimiter')
/**
* Fallback ceiling on how long a hosted-key acquisition waits for the per-workspace
* bucket to refill when no execution `AbortSignal` is available to bound the wait (e.g.
* a caller without a wired execution deadline, or Redis no-op mode). When a signal IS
* provided, the wait is instead bounded by the surrounding execution budget — the signal
* fires when the run hits its plan timeout or is cancelled — and this constant no longer
* applies (see {@link ABSOLUTE_MAX_QUEUE_WAIT_MS} for the backstop in that case).
*/
const MAX_QUEUE_WAIT_MS = 5 * 60 * 1000
/**
* Hard safety ceiling applied even when an execution `AbortSignal` is present, in case the
* signal never fires. Matches the longest possible execution budget (enterprise async) so
* it never truncates a legitimately long-running background run before its own deadline.
*/
const ABSOLUTE_MAX_QUEUE_WAIT_MS = getMaxExecutionTimeout()
/**
* Floor on per-iteration sleep when the bucket reports `retryAfterMs <= 0`,
* which can happen due to clock skew or sub-millisecond resets. Prevents a
* tight retry loop hammering the storage adapter.
*/
const MIN_QUEUE_RETRY_DELAY_MS = 50
/**
* Poll interval while waiting to reach the head of the FIFO queue. 200ms balances
* acquisition latency (worst-case wait for advancement is one poll period) against
* Redis load — at this cadence, N waiters generate N×5 EVAL/sec, which is fine for
* the typical low-tens contention. Revisit if telemetry shows hot Redis under load.
*/
const QUEUE_HEAD_POLL_MS = 200
/**
* Sleep for `ms`, resolving early if `signal` aborts. Cleans up its own timer and listener
* so neither leaks. Callers don't need to distinguish an early (aborted) return from a normal
* one — the surrounding wait loop re-checks its budget immediately after and bails when the
* signal has fired. Falls back to a plain sleep when no signal is provided.
*/
function interruptibleSleep(ms: number, signal?: AbortSignal): Promise<void> {
if (!signal) return sleep(ms)
if (signal.aborted) return Promise.resolve()
return new Promise<void>((resolve) => {
const onAbort = () => {
clearTimeout(timer)
signal.removeEventListener('abort', onAbort)
resolve()
}
const timer = setTimeout(() => {
signal.removeEventListener('abort', onAbort)
resolve()
}, ms)
signal.addEventListener('abort', onAbort, { once: true })
// Catch an abort that fired between the guard above and addEventListener.
if (signal.aborted) onAbort()
})
}
/**
* Resolves env var names for a numbered key prefix using a `{PREFIX}_COUNT` env var.
* E.g. with `EXA_API_KEY_COUNT=5`, returns `['EXA_API_KEY_1', ..., 'EXA_API_KEY_5']`.
*/
function resolveEnvKeys(prefix: string): string[] {
const count = Number.parseInt(process.env[`${prefix}_COUNT`] || '0', 10)
const names: string[] = []
for (let i = 1; i <= count; i++) {
names.push(`${prefix}_${i}`)
}
return names
}
/** Dimension name for per-billing-actor request rate limiting */
const ACTOR_REQUESTS_DIMENSION = 'actor_requests'
/**
* Information about an available hosted key
*/
interface AvailableKey {
key: string
keyIndex: number
envVarName: string
}
/**
* Mutable heartbeat bookkeeping shared across every wait phase of a single `acquireKey`
* call. Carrying one `lastHeartbeatAt` across the queue-head wait and the bucket waits
* ensures the heartbeat-refresh cadence reflects the *actual* last write to Redis rather
* than resetting per phase, which could otherwise let the ticket heartbeat lapse and get
* reaped mid-wait (breaking FIFO ordering).
*/
interface WaitState {
/** Epoch ms of the last heartbeat write to Redis. */
lastHeartbeatAt: number
}
/**
* HostedKeyRateLimiter provides:
* 1. Per-billing-actor rate limiting (enforced - blocks actors who exceed their limit)
* 2. Round-robin key selection (distributes requests evenly across keys)
* 3. Post-execution dimension usage tracking for custom rate limits
*
* The billing actor is typically a workspace ID, meaning rate limits are shared
* across all users within the same workspace.
*/
export class HostedKeyRateLimiter {
private storage: RateLimitStorageAdapter
private queue: HostedKeyQueue
/** Round-robin counter per provider for even key distribution */
private roundRobinCounters = new Map<string, number>()
constructor(storage?: RateLimitStorageAdapter, queue?: HostedKeyQueue) {
this.storage = storage ?? createStorageAdapter()
this.queue = queue ?? getHostedKeyQueue()
}
private buildActorStorageKey(provider: string, billingActorId: string): string {
return `hosted:${provider}:actor:${billingActorId}:${ACTOR_REQUESTS_DIMENSION}`
}
private buildDimensionStorageKey(
provider: string,
billingActorId: string,
dimensionName: string
): string {
return `hosted:${provider}:actor:${billingActorId}:${dimensionName}`
}
private getAvailableKeys(envKeys: string[]): AvailableKey[] {
const keys: AvailableKey[] = []
for (let i = 0; i < envKeys.length; i++) {
const envVarName = envKeys[i]
const key = process.env[envVarName]
if (key) {
keys.push({ key, keyIndex: i, envVarName })
}
}
return keys
}
/**
* Build a token bucket config for the per-billing-actor request rate limit.
* Works for both `per_request` and `custom` modes since both define `requestsPerMinute`.
*/
private getActorRateLimitConfig(config: HostedKeyRateLimitConfig): TokenBucketConfig | null {
if (!config.requestsPerMinute) return null
return toTokenBucketConfig(
config.requestsPerMinute,
config.burstMultiplier ?? DEFAULT_BURST_MULTIPLIER,
DEFAULT_WINDOW_MS
)
}
/**
* Check and consume billing actor request rate limit. Returns null if allowed, or retry info if blocked.
*/
private async checkActorRateLimit(
provider: string,
billingActorId: string,
config: HostedKeyRateLimitConfig
): Promise<{ rateLimited: true; retryAfterMs: number } | null> {
const bucketConfig = this.getActorRateLimitConfig(config)
if (!bucketConfig) return null
const storageKey = this.buildActorStorageKey(provider, billingActorId)
try {
const result = await this.storage.consumeTokens(storageKey, 1, bucketConfig)
if (!result.allowed) {
const retryAfterMs = Math.max(0, result.resetAt.getTime() - Date.now())
logger.info(`Billing actor ${billingActorId} rate limited for ${provider}`, {
provider,
billingActorId,
retryAfterMs,
tokensRemaining: result.tokensRemaining,
})
return { rateLimited: true, retryAfterMs }
}
return null
} catch (error) {
logger.error(`Error checking billing actor rate limit for ${provider}`, {
error,
billingActorId,
})
return null
}
}
/**
* Pre-check that the billing actor has available budget in all custom dimensions.
* Does NOT consume tokens -- just verifies the actor isn't already depleted.
* Returns retry info for the most restrictive exhausted dimension, or null if all pass.
*/
private async preCheckDimensions(
provider: string,
billingActorId: string,
config: CustomRateLimit
): Promise<{ rateLimited: true; retryAfterMs: number; dimension: string } | null> {
for (const dimension of config.dimensions) {
const storageKey = this.buildDimensionStorageKey(provider, billingActorId, dimension.name)
const bucketConfig = toTokenBucketConfig(
dimension.limitPerMinute,
dimension.burstMultiplier ?? DEFAULT_BURST_MULTIPLIER,
DEFAULT_WINDOW_MS
)
try {
const status = await this.storage.getTokenStatus(storageKey, bucketConfig)
if (status.tokensAvailable < 1) {
const retryAfterMs = Math.max(0, status.nextRefillAt.getTime() - Date.now())
logger.info(
`Billing actor ${billingActorId} exhausted dimension ${dimension.name} for ${provider}`,
{
provider,
billingActorId,
dimension: dimension.name,
tokensAvailable: status.tokensAvailable,
retryAfterMs,
}
)
return { rateLimited: true, retryAfterMs, dimension: dimension.name }
}
} catch (error) {
logger.error(`Error pre-checking dimension ${dimension.name} for ${provider}`, {
error,
billingActorId,
})
}
}
return null
}
/**
* Acquire an available key via round-robin selection.
*
* For both modes:
* 1. Per-billing-actor request rate limiting (enforced): the call enqueues itself
* onto a per-workspace+provider FIFO queue. Only the head of the queue attempts
* to consume from the token bucket, guaranteeing strict ordering across callers
* within a workspace. Different workspaces have independent queues and don't
* block each other.
* 2. Round-robin key selection: cycles through available keys for even distribution
*
* For `custom` mode additionally:
* 3. Pre-checks dimension budgets: head waits on dimension refill the same way it
* waits on actor request capacity.
*
* The wait is bounded by the surrounding execution budget: when `signal` is provided it
* fires at the run's plan timeout (or on cancellation), so a queued call uses its full
* available budget rather than a flat cap. When no signal is available the wait falls
* back to `MAX_QUEUE_WAIT_MS`. On exhaustion the call returns today's 429 result. The
* ticket is removed from the queue on exit regardless of success or failure.
*
* @param envKeyPrefix - Env var prefix (e.g. 'EXA_API_KEY'). Keys resolved via `{prefix}_COUNT`.
* @param billingActorId - The billing actor (typically workspace ID) to rate limit against
* @param signal - Optional execution `AbortSignal`; bounds the queue wait to the run's budget.
*/
async acquireKey(
provider: string,
envKeyPrefix: string,
config: HostedKeyRateLimitConfig,
billingActorId: string,
signal?: AbortSignal
): Promise<AcquireKeyResult> {
const ticketId = generateShortId()
const startedAt = Date.now()
const waitState: WaitState = { lastHeartbeatAt: startedAt }
const enqueueResult = await this.queue.enqueue(provider, billingActorId, ticketId)
try {
// Wait for our turn at the head of the queue (no-op when Redis unavailable).
const headStatus = await this.waitForQueueHead(
provider,
billingActorId,
ticketId,
startedAt,
waitState,
signal
)
if (headStatus.timedOut) {
PlatformEvents.hostedKeyQueueWaitExceeded({
provider,
workspaceId: billingActorId,
waitedMs: Date.now() - startedAt,
reason: 'queue_position',
})
return {
success: false,
billingActorRateLimited: true,
retryAfterMs: MAX_QUEUE_WAIT_MS,
error: `Rate limit exceeded — request waited too long in the queue. If you're getting throttled frequently, consider adding your own API key under Settings > BYOK to avoid shared rate limits.`,
}
}
let dimensionWaited = false
if (config.requestsPerMinute) {
const rateLimitResult = await this.waitForActorCapacity(
provider,
billingActorId,
ticketId,
config,
startedAt,
waitState,
signal
)
if (rateLimitResult.rateLimited) {
return {
success: false,
billingActorRateLimited: true,
retryAfterMs: rateLimitResult.retryAfterMs,
error: `Rate limit exceeded. Please wait ${Math.ceil(rateLimitResult.retryAfterMs / 1000)} seconds. If you're getting throttled frequently, consider adding your own API key under Settings > BYOK to avoid shared rate limits.`,
}
}
}
if (config.mode === 'custom' && config.dimensions.length > 0) {
const dimensionResult = await this.waitForDimensionCapacity(
provider,
billingActorId,
ticketId,
config,
startedAt,
waitState,
signal
)
if (dimensionResult.rateLimited) {
return {
success: false,
billingActorRateLimited: true,
retryAfterMs: dimensionResult.retryAfterMs,
error: `Rate limit exceeded for ${dimensionResult.dimension}. Please wait ${Math.ceil(dimensionResult.retryAfterMs / 1000)} seconds. If you're getting throttled frequently, consider adding your own API key under Settings > BYOK to avoid shared rate limits.`,
}
}
dimensionWaited = dimensionResult.waited
}
const totalWaitedMs = Date.now() - startedAt
if (enqueueResult.enabled && (enqueueResult.position > 0 || totalWaitedMs > 100)) {
// Attribute the wait to its dominant cause: queue depth takes precedence (it's
// reported alongside queuePosition), otherwise the bucket phase that actually slept.
const reason: 'queue_position' | 'actor_requests' | 'dimension' =
enqueueResult.position > 0
? 'queue_position'
: dimensionWaited
? 'dimension'
: 'actor_requests'
PlatformEvents.hostedKeyQueueWaited({
provider,
workspaceId: billingActorId,
waitedMs: totalWaitedMs,
attempts: 1,
reason,
queuePosition: enqueueResult.position,
})
}
const envKeys = resolveEnvKeys(envKeyPrefix)
const availableKeys = this.getAvailableKeys(envKeys)
if (availableKeys.length === 0) {
logger.warn(`No hosted keys configured for provider ${provider}`)
return {
success: false,
error: `No hosted keys configured for ${provider}`,
}
}
const counter = this.roundRobinCounters.get(provider) ?? 0
const selected = availableKeys[counter % availableKeys.length]
this.roundRobinCounters.set(provider, counter + 1)
logger.debug(`Selected hosted key for ${provider}`, {
provider,
keyIndex: selected.keyIndex,
envVarName: selected.envVarName,
})
return {
success: true,
key: selected.key,
keyIndex: selected.keyIndex,
envVarName: selected.envVarName,
}
} finally {
// Always remove our ticket so the next caller can advance, regardless of whether
// we succeeded, hit the cap, or threw. Best-effort; safe to call multiple times.
await this.queue.dequeue(provider, billingActorId, ticketId)
}
}
/**
* Remaining time budget for waiting, in milliseconds. When an execution `AbortSignal` is
* present it governs the wait: the budget is exhausted the moment the signal aborts (the
* run hit its plan timeout or was cancelled), with {@link ABSOLUTE_MAX_QUEUE_WAIT_MS} as a
* backstop should the signal never fire. Without a signal we fall back to the flat
* {@link MAX_QUEUE_WAIT_MS} ceiling.
*/
private remainingWaitBudgetMs(startedAt: number, signal?: AbortSignal): number {
if (signal?.aborted) return 0
const ceiling = signal ? ABSOLUTE_MAX_QUEUE_WAIT_MS : MAX_QUEUE_WAIT_MS
return ceiling - (Date.now() - startedAt)
}
/** Refresh the ticket heartbeat if the refresh interval has elapsed since the last write. */
private async maybeRefreshHeartbeat(
provider: string,
billingActorId: string,
ticketId: string,
waitState: WaitState
): Promise<void> {
if (Date.now() - waitState.lastHeartbeatAt >= HEARTBEAT_REFRESH_INTERVAL_MS) {
await this.queue.refreshHeartbeat(provider, billingActorId, ticketId)
waitState.lastHeartbeatAt = Date.now()
}
}
/**
* Sleep before the next bucket re-check, refreshing the heartbeat first if due. The sleep
* is capped at {@link HEARTBEAT_REFRESH_INTERVAL_MS} so that no single wait can outlive the
* heartbeat TTL — even when the bucket reports a long `retryAfterMs` (e.g. low-RPM
* providers). Without this cap a multi-second sleep could let the heartbeat lapse, the
* head get reaped as dead, and a second caller advance and race us for the bucket. The
* sleep also resolves early if `signal` aborts, so a cancelled/timed-out run stops waiting
* promptly rather than overshooting by up to the cap.
*/
private async heartbeatAwareSleep(
provider: string,
billingActorId: string,
ticketId: string,
desiredMs: number,
waitState: WaitState,
signal?: AbortSignal
): Promise<void> {
await this.maybeRefreshHeartbeat(provider, billingActorId, ticketId, waitState)
const sleepMs = Math.min(
Math.max(MIN_QUEUE_RETRY_DELAY_MS, desiredMs),
HEARTBEAT_REFRESH_INTERVAL_MS
)
await interruptibleSleep(sleepMs, signal)
}
/**
* Block until our ticket reaches the head of the queue. Refreshes the heartbeat on a
* regular cadence so we don't get reaped as dead. Returns `timedOut: true` once the wait
* budget is exhausted before reaching the head (see {@link remainingWaitBudgetMs}).
*
* No-op when Redis is unavailable (queue.enqueue returns enabled=false and checkHead
* always returns 'head').
*/
private async waitForQueueHead(
provider: string,
billingActorId: string,
ticketId: string,
startedAt: number,
waitState: WaitState,
signal?: AbortSignal
): Promise<{ timedOut: boolean }> {
while (true) {
const status = await this.queue.checkHead(provider, billingActorId, ticketId)
if (status === 'head') return { timedOut: false }
// 'missing' shouldn't normally happen — the queue list TTL (10min) outlives a typical
// wait — but if it does (e.g. Redis flushed mid-wait), treat as "you're up" so the
// caller proceeds to the bucket race rather than hanging forever.
if (status === 'missing') return { timedOut: false }
if (this.remainingWaitBudgetMs(startedAt, signal) <= 0) {
return { timedOut: true }
}
await this.maybeRefreshHeartbeat(provider, billingActorId, ticketId, waitState)
await interruptibleSleep(QUEUE_HEAD_POLL_MS, signal)
}
}
/**
* Wait for actor request-rate capacity. Called once we're at the head of the FIFO
* queue, so other callers can't race us for the next token — they're blocked behind us
* at queue level. Re-checks the bucket until the wait budget is exhausted (accounting for
* time already spent waiting in the queue). `waited` reports whether the loop ever slept.
*/
private async waitForActorCapacity(
provider: string,
billingActorId: string,
ticketId: string,
config: HostedKeyRateLimitConfig,
startedAt: number,
waitState: WaitState,
signal?: AbortSignal
): Promise<
{ rateLimited: false; waited: boolean } | { rateLimited: true; retryAfterMs: number }
> {
let waited = false
while (true) {
const result = await this.checkActorRateLimit(provider, billingActorId, config)
if (!result) return { rateLimited: false, waited }
const remaining = this.remainingWaitBudgetMs(startedAt, signal)
if (remaining <= 0 || result.retryAfterMs > remaining) {
PlatformEvents.hostedKeyQueueWaitExceeded({
provider,
workspaceId: billingActorId,
waitedMs: Date.now() - startedAt,
reason: 'actor_requests',
})
return { rateLimited: true, retryAfterMs: result.retryAfterMs }
}
waited = true
await this.heartbeatAwareSleep(
provider,
billingActorId,
ticketId,
result.retryAfterMs,
waitState,
signal
)
}
}
/**
* Wait for custom-mode dimension capacity. `preCheckDimensions` is read-only — it does
* not consume — so re-running it after a sleep is safe and does not double-charge.
* Post-execution `reportUsage` performs the actual consumption. `waited` reports whether
* the loop ever slept.
*/
private async waitForDimensionCapacity(
provider: string,
billingActorId: string,
ticketId: string,
config: CustomRateLimit,
startedAt: number,
waitState: WaitState,
signal?: AbortSignal
): Promise<
| { rateLimited: false; waited: boolean }
| { rateLimited: true; retryAfterMs: number; dimension: string }
> {
let waited = false
while (true) {
const result = await this.preCheckDimensions(provider, billingActorId, config)
if (!result) return { rateLimited: false, waited }
const remaining = this.remainingWaitBudgetMs(startedAt, signal)
if (remaining <= 0 || result.retryAfterMs > remaining) {
PlatformEvents.hostedKeyQueueWaitExceeded({
provider,
workspaceId: billingActorId,
waitedMs: Date.now() - startedAt,
reason: 'dimension',
dimension: result.dimension,
})
return {
rateLimited: true,
retryAfterMs: result.retryAfterMs,
dimension: result.dimension,
}
}
waited = true
await this.heartbeatAwareSleep(
provider,
billingActorId,
ticketId,
result.retryAfterMs,
waitState,
signal
)
}
}
/**
* Report actual usage after successful tool execution (custom mode only).
* Calls `extractUsage` on each dimension and consumes the actual token count.
* This is the "post-execution" phase of the optimistic two-phase approach.
*/
async reportUsage(
provider: string,
billingActorId: string,
config: CustomRateLimit,
params: Record<string, unknown>,
response: Record<string, unknown>
): Promise<ReportUsageResult> {
const results: ReportUsageResult['dimensions'] = []
for (const dimension of config.dimensions) {
let usage: number
try {
usage = dimension.extractUsage(params, response)
} catch (error) {
logger.error(`Failed to extract usage for dimension ${dimension.name}`, {
provider,
billingActorId,
error,
})
continue
}
if (usage <= 0) {
results.push({
name: dimension.name,
consumed: 0,
allowed: true,
tokensRemaining: 0,
})
continue
}
const storageKey = this.buildDimensionStorageKey(provider, billingActorId, dimension.name)
const bucketConfig = toTokenBucketConfig(
dimension.limitPerMinute,
dimension.burstMultiplier ?? DEFAULT_BURST_MULTIPLIER,
DEFAULT_WINDOW_MS
)
try {
const consumeResult = await this.storage.consumeTokens(storageKey, usage, bucketConfig)
results.push({
name: dimension.name,
consumed: usage,
allowed: consumeResult.allowed,
tokensRemaining: consumeResult.tokensRemaining,
})
if (!consumeResult.allowed) {
logger.warn(
`Dimension ${dimension.name} overdrawn for ${provider} (optimistic concurrency)`,
{ provider, billingActorId, usage, tokensRemaining: consumeResult.tokensRemaining }
)
}
logger.debug(`Consumed ${usage} from dimension ${dimension.name} for ${provider}`, {
provider,
billingActorId,
usage,
allowed: consumeResult.allowed,
tokensRemaining: consumeResult.tokensRemaining,
})
} catch (error) {
logger.error(`Failed to consume tokens for dimension ${dimension.name}`, {
provider,
billingActorId,
usage,
error,
})
}
}
return { dimensions: results }
}
}
let cachedInstance: HostedKeyRateLimiter | null = null
/**
* Get the singleton HostedKeyRateLimiter instance
*/
export function getHostedKeyRateLimiter(): HostedKeyRateLimiter {
if (!cachedInstance) {
cachedInstance = new HostedKeyRateLimiter()
}
return cachedInstance
}
/**
* Reset the cached rate limiter (for testing)
*/
export function resetHostedKeyRateLimiter(): void {
cachedInstance = null
}
@@ -0,0 +1,11 @@
export {
getHostedKeyRateLimiter,
HostedKeyRateLimiter,
resetHostedKeyRateLimiter,
} from './hosted-key-rate-limiter'
export {
DEFAULT_BURST_MULTIPLIER,
DEFAULT_WINDOW_MS,
type HostedKeyRateLimitConfig,
toTokenBucketConfig,
} from './types'
@@ -0,0 +1,234 @@
import { redisConfigMock, redisConfigMockFns } from '@sim/testing'
import { beforeEach, describe, expect, it, type Mock, vi } from 'vitest'
import { HostedKeyQueue } from './queue'
vi.mock('@/lib/core/config/redis', () => redisConfigMock)
interface MockPipeline {
rpush: Mock
expire: Mock
set: Mock
lrem: Mock
del: Mock
exec: Mock
}
interface MockRedis {
multi: Mock
set: Mock
eval: Mock
pipeline: MockPipeline
}
function createFakeRedis(): MockRedis {
const pipeline: MockPipeline = {
rpush: vi.fn(),
expire: vi.fn(),
set: vi.fn(),
lrem: vi.fn(),
del: vi.fn(),
exec: vi.fn(),
}
// Pipeline methods return the pipeline for chaining.
pipeline.rpush.mockReturnValue(pipeline)
pipeline.expire.mockReturnValue(pipeline)
pipeline.set.mockReturnValue(pipeline)
pipeline.lrem.mockReturnValue(pipeline)
pipeline.del.mockReturnValue(pipeline)
return {
multi: vi.fn(() => pipeline),
set: vi.fn(),
eval: vi.fn(),
pipeline,
}
}
const provider = 'exa'
const workspaceId = 'workspace-1'
const ticketId = 'ticket-1'
describe('HostedKeyQueue', () => {
let queue: HostedKeyQueue
let mockRedis: MockRedis
beforeEach(() => {
vi.clearAllMocks()
mockRedis = createFakeRedis()
redisConfigMockFns.mockGetRedisClient.mockReturnValue(mockRedis)
queue = new HostedKeyQueue()
})
describe('enqueue', () => {
it('returns position 0 when first in line', async () => {
// RPUSH returns new list length; first push -> 1.
mockRedis.pipeline.exec.mockResolvedValueOnce([
[null, 1],
[null, 1],
[null, 'OK'],
])
const result = await queue.enqueue(provider, workspaceId, ticketId)
expect(result).toEqual({ position: 0, enabled: true })
expect(mockRedis.pipeline.rpush).toHaveBeenCalledWith(
'hosted-queue:exa:workspace-1',
ticketId
)
expect(mockRedis.pipeline.set).toHaveBeenCalledWith(
'hosted-queue-tkt:exa:workspace-1:ticket-1',
'1',
'EX',
expect.any(Number)
)
})
it('returns higher position when others are ahead', async () => {
// Length 5 after push -> position 4.
mockRedis.pipeline.exec.mockResolvedValueOnce([
[null, 5],
[null, 1],
[null, 'OK'],
])
const result = await queue.enqueue(provider, workspaceId, ticketId)
expect(result.position).toBe(4)
})
it('falls back to enabled=false when Redis is unavailable', async () => {
redisConfigMockFns.mockGetRedisClient.mockReturnValueOnce(null)
const result = await queue.enqueue(provider, workspaceId, ticketId)
expect(result).toEqual({ position: 0, enabled: false })
})
it('falls back to enabled=false on Redis error', async () => {
mockRedis.pipeline.exec.mockRejectedValueOnce(new Error('connection lost'))
const result = await queue.enqueue(provider, workspaceId, ticketId)
expect(result.enabled).toBe(false)
})
})
describe('checkHead', () => {
it('returns "head" when our ticket is at the head', async () => {
mockRedis.eval.mockResolvedValueOnce('head')
const status = await queue.checkHead(provider, workspaceId, ticketId)
expect(status).toBe('head')
})
it('returns "waiting" when someone else is the head', async () => {
mockRedis.eval.mockResolvedValueOnce('waiting')
const status = await queue.checkHead(provider, workspaceId, ticketId)
expect(status).toBe('waiting')
})
it('returns "missing" when our ticket is not in the queue', async () => {
mockRedis.eval.mockResolvedValueOnce('missing')
const status = await queue.checkHead(provider, workspaceId, ticketId)
expect(status).toBe('missing')
})
it('passes queue list key, heartbeat prefix, and ticketId to the Lua script', async () => {
mockRedis.eval.mockResolvedValueOnce('head')
await queue.checkHead(provider, workspaceId, ticketId)
expect(mockRedis.eval).toHaveBeenCalledWith(
expect.stringContaining('lindex'),
1,
'hosted-queue:exa:workspace-1',
'hosted-queue-tkt:exa:workspace-1:',
ticketId
)
})
it('fails open to "head" on Redis error so callers do not hang', async () => {
mockRedis.eval.mockRejectedValueOnce(new Error('boom'))
const status = await queue.checkHead(provider, workspaceId, ticketId)
expect(status).toBe('head')
})
it('returns "head" no-op when Redis is unavailable', async () => {
redisConfigMockFns.mockGetRedisClient.mockReturnValueOnce(null)
const status = await queue.checkHead(provider, workspaceId, ticketId)
expect(status).toBe('head')
})
})
describe('refreshHeartbeat', () => {
it('writes the heartbeat key with TTL and re-extends the queue list TTL', async () => {
mockRedis.pipeline.exec.mockResolvedValueOnce([
[null, 'OK'],
[null, 1],
])
await queue.refreshHeartbeat(provider, workspaceId, ticketId)
expect(mockRedis.pipeline.set).toHaveBeenCalledWith(
'hosted-queue-tkt:exa:workspace-1:ticket-1',
'1',
'EX',
expect.any(Number)
)
expect(mockRedis.pipeline.expire).toHaveBeenCalledWith(
'hosted-queue:exa:workspace-1',
expect.any(Number)
)
expect(mockRedis.pipeline.exec).toHaveBeenCalledTimes(1)
})
it('is a no-op when Redis is unavailable', async () => {
redisConfigMockFns.mockGetRedisClient.mockReturnValueOnce(null)
await expect(queue.refreshHeartbeat(provider, workspaceId, ticketId)).resolves.toBeUndefined()
expect(mockRedis.multi).not.toHaveBeenCalled()
})
})
describe('dequeue', () => {
it('removes the ticket from the list and deletes the heartbeat', async () => {
mockRedis.pipeline.exec.mockResolvedValueOnce([
[null, 1],
[null, 1],
])
await queue.dequeue(provider, workspaceId, ticketId)
expect(mockRedis.pipeline.lrem).toHaveBeenCalledWith(
'hosted-queue:exa:workspace-1',
1,
ticketId
)
expect(mockRedis.pipeline.del).toHaveBeenCalledWith(
'hosted-queue-tkt:exa:workspace-1:ticket-1'
)
})
it('is a no-op when Redis is unavailable', async () => {
redisConfigMockFns.mockGetRedisClient.mockReturnValueOnce(null)
await expect(queue.dequeue(provider, workspaceId, ticketId)).resolves.toBeUndefined()
expect(mockRedis.multi).not.toHaveBeenCalled()
})
it('swallows errors so callers do not throw on cleanup', async () => {
mockRedis.pipeline.exec.mockRejectedValueOnce(new Error('connection lost'))
await expect(queue.dequeue(provider, workspaceId, ticketId)).resolves.toBeUndefined()
})
})
})
@@ -0,0 +1,209 @@
import { createLogger } from '@sim/logger'
import { toError } from '@sim/utils/errors'
import { getRedisClient } from '@/lib/core/config/redis'
const logger = createLogger('HostedKeyQueue')
/**
* Per-ticket heartbeat TTL. Refreshed by the head while it's actively waiting
* on the bucket. If the holder crashes, the heartbeat key expires, and the next
* caller sees the head as dead and removes it (lazy cleanup).
*/
const TICKET_HEARTBEAT_TTL_SECONDS = 30
/** How often the head should refresh its heartbeat while waiting. */
export const HEARTBEAT_REFRESH_INTERVAL_MS = 10_000
/**
* TTL on the queue list itself. Set on enqueue and re-extended by the head's heartbeat,
* so a long-waiting head can't let the list expire out from under the waiters behind it.
* Prevents abandoned queues from sticking around forever in Redis.
*/
const QUEUE_LIST_TTL_SECONDS = 600
const queueListKey = (provider: string, billingActorId: string): string =>
`hosted-queue:${provider}:${billingActorId}`
const heartbeatKey = (provider: string, billingActorId: string, ticketId: string): string =>
`hosted-queue-tkt:${provider}:${billingActorId}:${ticketId}`
/**
* Atomically reap any dead head, then return our ticket's status. Combines what
* would otherwise be 3 round-trips (reap, LINDEX, LPOS) into one EVAL — meaningful
* because callers poll this every ~200ms while waiting in the queue.
*
* `KEYS[1]` = queue list key. `ARGV[1]` = heartbeat key prefix. `ARGV[2]` = our ticketId.
*
* Reaping is bounded: at most one dead head is removed per call. If multiple dead
* tickets pile up at the head, subsequent polls will clean them one by one. This
* keeps the script O(1) rather than O(N) and is sufficient because queue depth
* is bounded by concurrent callers per workspace (typically tens).
*
* Returns one of: "head", "waiting", "missing".
*/
const CHECK_HEAD_SCRIPT = `
local head = redis.call("lindex", KEYS[1], 0)
if head and redis.call("exists", ARGV[1] .. head) == 0 then
redis.call("lrem", KEYS[1], 1, head)
head = redis.call("lindex", KEYS[1], 0)
end
if not head then
return "missing"
end
if head == ARGV[2] then
return "head"
end
if redis.call("lpos", KEYS[1], ARGV[2]) == false then
return "missing"
end
return "waiting"
`
export interface EnqueueResult {
/** Position at the moment of enqueue (0 = head, you go next). */
position: number
/** Whether Redis was available — false means we're in no-op mode. */
enabled: boolean
}
/**
* Per-workspace+provider FIFO queue for hosted-key acquisitions.
*
* Callers `enqueue` to claim a position, then `waitForHead` until they're at
* the head, then attempt to consume from the token bucket. On success or cap
* exceeded, they `dequeue` to make room for the next caller.
*
* No-op when Redis is unavailable: every method returns "you're the head /
* empty / etc." so the rate limiter falls back to plain bucket racing.
*/
export class HostedKeyQueue {
/**
* Push a ticket onto the tail of the queue and write a heartbeat. Returns the
* position at enqueue time (0 = head, ready to proceed).
*/
async enqueue(
provider: string,
billingActorId: string,
ticketId: string
): Promise<EnqueueResult> {
const redis = getRedisClient()
if (!redis) {
return { position: 0, enabled: false }
}
const listKey = queueListKey(provider, billingActorId)
const hbKey = heartbeatKey(provider, billingActorId, ticketId)
try {
const pipeline = redis.multi()
pipeline.rpush(listKey, ticketId)
pipeline.expire(listKey, QUEUE_LIST_TTL_SECONDS)
pipeline.set(hbKey, '1', 'EX', TICKET_HEARTBEAT_TTL_SECONDS)
const results = await pipeline.exec()
// results[0] is the rpush response: [err, length]
const length = results?.[0] && typeof results[0][1] === 'number' ? results[0][1] : 1
// Position is length - 1 (just-pushed at the tail).
return { position: length - 1, enabled: true }
} catch (error) {
logger.warn(`Queue enqueue failed for ${listKey}`, { error: toError(error).message })
return { position: 0, enabled: false }
}
}
/**
* Check whether `ticketId` is currently at the head of the queue. If the head
* is a different ticket but its heartbeat has expired (caller crashed), reap
* it and re-check on the next poll.
*
* Returns:
* - "head": you're at the head, proceed to consume from the bucket
* - "waiting": someone else is the head and they're alive
* - "missing": your ticket isn't in the queue at all (e.g. queue list TTL
* expired); caller should re-enqueue or treat as enabled=false
*/
async checkHead(
provider: string,
billingActorId: string,
ticketId: string
): Promise<'head' | 'waiting' | 'missing'> {
const redis = getRedisClient()
if (!redis) {
return 'head'
}
const listKey = queueListKey(provider, billingActorId)
const hbPrefix = `hosted-queue-tkt:${provider}:${billingActorId}:`
try {
const result = (await redis.eval(CHECK_HEAD_SCRIPT, 1, listKey, hbPrefix, ticketId)) as
| 'head'
| 'waiting'
| 'missing'
return result
} catch (error) {
logger.warn(`Queue checkHead failed for ${listKey}`, { error: toError(error).message })
// Fail-open: treat as head so the caller proceeds rather than hanging.
return 'head'
}
}
/**
* Refresh the ticket's heartbeat so the head isn't reaped as dead while waiting on the
* bucket. Also re-extends the queue list TTL so a wait outliving {@link QUEUE_LIST_TTL_SECONDS}
* doesn't let the list expire and collapse FIFO ordering.
*/
async refreshHeartbeat(
provider: string,
billingActorId: string,
ticketId: string
): Promise<void> {
const redis = getRedisClient()
if (!redis) return
const listKey = queueListKey(provider, billingActorId)
const hbKey = heartbeatKey(provider, billingActorId, ticketId)
try {
const pipeline = redis.multi()
pipeline.set(hbKey, '1', 'EX', TICKET_HEARTBEAT_TTL_SECONDS)
pipeline.expire(listKey, QUEUE_LIST_TTL_SECONDS)
await pipeline.exec()
} catch (error) {
logger.warn(`Queue heartbeat refresh failed for ${hbKey}`, {
error: toError(error).message,
})
}
}
/**
* Remove a ticket from the queue and its heartbeat key. Best-effort; safe to
* call multiple times. LREM count=1 removes at most one matching entry.
*/
async dequeue(provider: string, billingActorId: string, ticketId: string): Promise<void> {
const redis = getRedisClient()
if (!redis) return
const listKey = queueListKey(provider, billingActorId)
const hbKey = heartbeatKey(provider, billingActorId, ticketId)
try {
const pipeline = redis.multi()
pipeline.lrem(listKey, 1, ticketId)
pipeline.del(hbKey)
await pipeline.exec()
} catch (error) {
logger.warn(`Queue dequeue failed for ${listKey}`, { error: toError(error).message })
}
}
}
let cachedQueue: HostedKeyQueue | null = null
export function getHostedKeyQueue(): HostedKeyQueue {
if (!cachedQueue) {
cachedQueue = new HostedKeyQueue()
}
return cachedQueue
}
export function resetHostedKeyQueue(): void {
cachedQueue = null
}
@@ -0,0 +1,108 @@
import type { TokenBucketConfig } from '@/lib/core/rate-limiter/storage'
export type HostedKeyRateLimitMode = 'per_request' | 'custom'
/**
* Simple per-request rate limit configuration.
* Enforces per-billing-actor rate limiting and distributes requests across keys.
*/
export interface PerRequestRateLimit {
mode: 'per_request'
/** Maximum requests per minute per billing actor (enforced - blocks if exceeded) */
requestsPerMinute: number
/** Burst multiplier for token bucket max capacity. Default: 2 */
burstMultiplier?: number
}
/**
* Custom rate limit with multiple dimensions (e.g., tokens, search units).
* Allows tracking different usage metrics independently.
*/
export interface CustomRateLimit {
mode: 'custom'
/** Maximum requests per minute per billing actor (enforced - blocks if exceeded) */
requestsPerMinute: number
/** Multiple dimensions to track */
dimensions: RateLimitDimension[]
/** Burst multiplier for token bucket max capacity. Default: 2 */
burstMultiplier?: number
}
/**
* A single dimension for custom rate limiting.
* Each dimension has its own token bucket.
*/
interface RateLimitDimension {
/** Dimension name (e.g., 'tokens', 'search_units') - used in storage key */
name: string
/** Limit per minute for this dimension */
limitPerMinute: number
/** Burst multiplier for token bucket max capacity. Default: 2 */
burstMultiplier?: number
/**
* Extract usage amount from request params and response.
* Called after successful execution to consume the actual usage.
*/
extractUsage: (params: Record<string, unknown>, response: Record<string, unknown>) => number
}
/** Union of all hosted key rate limit configuration types */
export type HostedKeyRateLimitConfig = PerRequestRateLimit | CustomRateLimit
/**
* Result from acquiring a key from the hosted key rate limiter
*/
export interface AcquireKeyResult {
/** Whether a key was successfully acquired */
success: boolean
/** The API key value (if success=true) */
key?: string
/** Index of the key in the envKeys array */
keyIndex?: number
/** Environment variable name of the selected key */
envVarName?: string
/** Error message if no key available */
error?: string
/** Whether the billing actor was rate limited (exceeded their limit) */
billingActorRateLimited?: boolean
/** Milliseconds until the billing actor's rate limit resets (if billingActorRateLimited=true) */
retryAfterMs?: number
}
/**
* Result from reporting post-execution usage for custom dimensions
*/
export interface ReportUsageResult {
/** Per-dimension consumption results */
dimensions: {
name: string
consumed: number
allowed: boolean
tokensRemaining: number
}[]
}
/**
* Convert rate limit config to token bucket config for a dimension
*/
export function toTokenBucketConfig(
limitPerMinute: number,
burstMultiplier = 2,
windowMs = 60000
): TokenBucketConfig {
return {
maxTokens: limitPerMinute * burstMultiplier,
refillRate: limitPerMinute,
refillIntervalMs: windowMs,
}
}
/**
* Default rate limit window in milliseconds (1 minute)
*/
export const DEFAULT_WINDOW_MS = 60000
/**
* Default burst multiplier
*/
export const DEFAULT_BURST_MULTIPLIER = 2