[GH-ISSUE #2] [Error] Too many requests #3

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opened 2026-03-03 13:52:04 +03:00 by kerem · 15 comments
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Originally created by @cairocoder on GitHub (Nov 6, 2023).
Original GitHub issue: https://github.com/jehna/humanify/issues/2

I am getting "Too many requests" error:

humanify/node_modules/axios/lib/core/createError.js:16 var error = new Error(message); ^ Error: Request failed with status code 429 at createError (/Users/cairocoder/Sites/localhost/humanify/node_modules/axios/lib/core/createError.js:16:15) at settle (/Users/cairocoder/Sites/localhost/humanify/node_modules/axios/lib/core/settle.js:17:12) at IncomingMessage.handleStreamEnd (/Users/cairocoder/Sites/localhost/humanify/node_modules/axios/lib/adapters/http.js:322:11) at IncomingMessage.emit (node:events:526:35) at IncomingMessage.emit (node:domain:489:12) at endReadableNT (node:internal/streams/readable:1359:12) at processTicksAndRejections (node:internal/process/task_queues:82:21) { config: { transitional: { silentJSONParsing: true, forcedJSONParsing: true, clarifyTimeoutError: false }, adapter: [Function: httpAdapter], transformRequest: [ [Function: transformRequest] ], transformResponse: [ [Function: transformResponse] ], timeout: 0, xsrfCookieName: 'XSRF-TOKEN', xsrfHeaderName: 'X-XSRF-TOKEN', maxContentLength: -1, maxBodyLength: -1, validateStatus: [Function: validateStatus], headers: { Accept: 'application/json, text/plain, */*', 'Content-Type': 'application/json', 'User-Agent': 'OpenAI/NodeJS/3.3.0', Authorization: 'Bearer xxx', 'Content-Length': 7364 }, method: 'post', data: {"model":"gpt-3.5-turbo-16k","functions":[{"name":"rename_variables_and_functions","description":"Rename variables and function names in Javascript code","parameters":{"type":"object","properties":{"variablesAndFunctionsToRename":{"type":"array","items":{"type":"object","properties":{"name":{"type":"string","description":"The name of the variable or function name to rename"},"newName":{"type":"string","description":"The new name of the variable or function name"}},"required":["name","newName"]}}},"required":["variablesToRename"]}}],"messages":[{"role":"assistant","content":"Rename all Javascript variables and functions to have descriptive names based on their usage in the code."},{"role":"user","content":" a = a.join(\" \");\n }\n if (Ud(b)) {\n b = b.join(\" \");\n }\n return a + \" \" + b;\n } else {\n return a;\n }\n } else {\n return b;\n }\n } else {\n return \"\";\n }\n }\n function eb(a) {\n for (var b = 0; b < a.length; b++) {\n var c = a[b];\n if (c.nodeType === Je) {\n return c;\n }\n }\n }\n function fb(a) {\n if (v(a)) {\n a = a.split(\" \");\n }\n var b = ma();\n d(a, function (a) {\n if (a.length) {\n b[a] = true;\n }\n });\n return b;\n }\n function gb(a) {\n if (t(a)) {\n return a;\n } else {\n return {};\n }\n }\n function hb(a, b, c, e) {\n function f(a) {\n try {\n a.apply(null, Q(arguments, 1));\n } finally {\n s--;\n if (s === 0) {\n for (; t.length;) {\n try {\n t.pop()();\n } catch (b) {\n c.error(b);\n }\n }\n }\n }\n }\n function g(a) {\n var b = a.indexOf(\"#\");\n if (b === -1) {\n return \"\";\n } else {\n return a.substr(b);\n }\n }\n function h() {\n y = null;\n i();\n j();\n }\n function i() {\n u = z();\n if (r(u)) {\n u = null;\n } else {\n u = u;\n }\n if (O(u, C)) {\n u = C;\n }\n C = u;\n }\n function j() {\n if (w !== k.url() || v !== u) {\n w = k.url();\n v = u;\n d(A, function (a) {\n a(k.url(), u);\n });\n }\n }\n var k = this;\n var l = a.location;\n var m = a.history;\n var o = a.setTimeout;\n var p = a.clearTimeout;\n var q = {};\n k.isMock = false;\n var s = 0;\n var t = [];\n k.$$completeOutstandingRequest = f;\n k.$$incOutstandingRequestCount = function () {\n s++;\n };\n k.notifyWhenNoOutstandingRequests = function (a) {\n if (s === 0) {\n a();\n } else {\n t.push(a);\n }\n };\n var u;\n var v;\n var w = l.href;\n var x = b.find(\"base\");\n var y = null;\n var z = e.history ? function () {\n try {\n return m.state;\n } catch (a) {}\n } : n;\n i();\n v = u;\n k.url = function (b, c, d) {\n if (r(d)) {\n d = null;\n }\n if (l !== a.location) {\n l = a.location;\n }\n if (m !== a.history) {\n m = a.history;\n }\n if (b) {\n var f = v === d;\n if (w === b && (!e.history || f)) {\n return k;\n }\n var h = w && Pb(w) === Pb(b);\n w = b;\n v = d;\n if (!e.history || h && f) {\n if (!h) {\n y = b;\n }\n if (c) {\n l.replace(b);\n } else if (h) {\n l.hash = g(b);\n } else {\n l.href = b;\n }\n if (l.href !== b) {\n y = b;\n }\n } else {\n m[c ? \"replaceState\" : \"pushState\"](d, \"\", b);\n i();\n v = u;\n }\n if (y) {\n y = b;\n }\n return k;\n }\n return y || l.href.replace(/%27/g, \"'\");\n };\n k.state = function () {\n return u;\n };\n var A = [];\n var B = false;\n var C = null;\n k.onUrlChange = function (b) {\n if (!B) {\n if (e.history) {\n Jd(a).on(\"popstate\", h);\n }\n Jd(a).on(\"hashchange\", h);\n B = true;\n }\n A.push(b);\n return b;\n };\n k.$$applicationDestroyed = function () {\n Jd(a).off(\"hashchange popstate\", h);\n };\n k.$$checkUrlChange = j;\n k.baseHref = function () {\n var a = x.attr(\"href\");\n if (a) {\n return a.replace(/^(https?\\:)?\\/\\/[^\\/]/, \"\");\n } else {\n return \"\";\n }\n };\n k.defer = function (a, b) {\n var c;\n s++;\n c = o(function () {\n delete q[c];\n f(a);\n }, b || 0);\n q[c] = true;\n return c;\n };\n k.defer.cancel = function (a) {\n if (q[a]) {\n delete q[a];\n p(a);\n f(n);\n return true;\n } else {\n return false;\n }\n };\n }\n function ib() {\n this.$get = [\"$window\", \"$log\", \"$sniffer\", \"$document\", function (a, b, c, d) {\n return new hb(a, d, b, c);\n }];\n }\n function jb() {\n this.$get = function () {\n function a(a, d) {\n function e(a) {\n if (a != m) {\n if (n) {\n if (n == a) {\n n = a.n;\n }\n } else {\n n = a;\n }\n f(a.n, a.p);\n f(a, m);\n m = a;\n m.n = null;\n }\n }\n function f(a, b) {\n if (a != b) {\n if (a) {\n a.p = b;\n }\n if (b) {\n b.n = a;\n }\n }\n }\n if (a in c) {\n throw b(\"$cacheFactory\")(\"iid\", \"CacheId '{0}' is already taken!\", a);\n }\n var g = 0;\n var h = j({}, d, {\n id: a\n });\n var i = ma();\n var k = d && d.capacity || Number.MAX_VALUE;\n var l = ma();\n var m = null;\n var n = null;\n return c[a] = {\n put(a, b) {\n if (!r(b)) {\n if (k < Number.MAX_VALUE) {\n var c = l[a] || (l[a] = {\n key: a\n });\n e(c);\n }\n if (!(a in i)) {\n g++;\n }\n i[a] = b;\n if (g > k) {\n this.remove(n.key);\n }\n return b;\n }\n },\n get(a) {\n if (k < Number.MAX_VALUE) {\n var b = l[a];\n if (!b"}]}, url: 'https://api.openai.com/v1/chat/completions' }, request: <ref *1> ClientRequest { _events: [Object: null prototype] { abort: [Function (anonymous)], aborted: [Function (anonymous)], connect: [Function (anonymous)], error: [Function (anonymous)], socket: [Function (anonymous)], timeout: [Function (anonymous)], finish: [Function: requestOnFinish] }, _eventsCount: 7, _maxListeners: undefined, outputData: [], outputSize: 0, writable: true, destroyed: false, _last: true, chunkedEncoding: false, shouldKeepAlive: false, maxRequestsOnConnectionReached: false, _defaultKeepAlive: true, useChunkedEncodingByDefault: true, sendDate: false, _removedConnection: false, _removedContLen: false, _removedTE: false, strictContentLength: false, _contentLength: 7364, _hasBody: true, _trailer: '', finished: true, _headerSent: true, _closed: false, socket: TLSSocket { _tlsOptions: [Object], _secureEstablished: true, _securePending: false, _newSessionPending: false, _controlReleased: true, secureConnecting: false, _SNICallback: null, servername: 'api.openai.com', alpnProtocol: false, authorized: true, authorizationError: null, encrypted: true, _events: [Object: null prototype], _eventsCount: 10, connecting: false, _hadError: false, _parent: null, _host: 'api.openai.com', _closeAfterHandlingError: false, _readableState: [ReadableState], _maxListeners: undefined, _writableState: [WritableState], allowHalfOpen: false, _sockname: null, _pendingData: null, _pendingEncoding: '', server: undefined, _server: null, ssl: [TLSWrap], _requestCert: true, _rejectUnauthorized: true, parser: null, _httpMessage: [Circular *1], [Symbol(res)]: [TLSWrap], [Symbol(verified)]: true, [Symbol(pendingSession)]: null, [Symbol(async_id_symbol)]: 154, [Symbol(kHandle)]: [TLSWrap], [Symbol(lastWriteQueueSize)]: 0, [Symbol(timeout)]: null, [Symbol(kBuffer)]: null, [Symbol(kBufferCb)]: null, [Symbol(kBufferGen)]: null, [Symbol(kCapture)]: false, [Symbol(kSetNoDelay)]: false, [Symbol(kSetKeepAlive)]: true, [Symbol(kSetKeepAliveInitialDelay)]: 60, [Symbol(kBytesRead)]: 0, [Symbol(kBytesWritten)]: 0, [Symbol(connect-options)]: [Object] }, _header: 'POST /v1/chat/completions HTTP/1.1\r\n' + 'Accept: application/json, text/plain, */*\r\n' + 'Content-Type: application/json\r\n' + 'User-Agent: OpenAI/NodeJS/3.3.0\r\n' + 'Authorization: Bearer xxx\r\n' + 'Content-Length: 7364\r\n' + 'Host: api.openai.com\r\n' + 'Connection: close\r\n' + '\r\n', _keepAliveTimeout: 0, _onPendingData: [Function: nop], agent: Agent { _events: [Object: null prototype], _eventsCount: 2, _maxListeners: undefined, defaultPort: 443, protocol: 'https:', options: [Object: null prototype], requests: [Object: null prototype] {}, sockets: [Object: null prototype], freeSockets: [Object: null prototype] {}, keepAliveMsecs: 1000, keepAlive: false, maxSockets: Infinity, maxFreeSockets: 256, scheduling: 'lifo', maxTotalSockets: Infinity, totalSocketCount: 10, maxCachedSessions: 100, _sessionCache: [Object], [Symbol(kCapture)]: false }, socketPath: undefined, method: 'POST', maxHeaderSize: undefined, insecureHTTPParser: undefined, joinDuplicateHeaders: undefined, path: '/v1/chat/completions', _ended: true, res: IncomingMessage { _readableState: [ReadableState], _events: [Object: null prototype], _eventsCount: 4, _maxListeners: undefined, socket: [TLSSocket], httpVersionMajor: 1, httpVersionMinor: 1, httpVersion: '1.1', complete: true, rawHeaders: [Array], rawTrailers: [], joinDuplicateHeaders: undefined, aborted: false, upgrade: false, url: '', method: null, statusCode: 429, statusMessage: 'Too Many Requests', client: [TLSSocket], _consuming: false, _dumped: false, req: [Circular *1], responseUrl: 'https://api.openai.com/v1/chat/completions', redirects: [], [Symbol(kCapture)]: false, [Symbol(kHeaders)]: [Object], [Symbol(kHeadersCount)]: 34, [Symbol(kTrailers)]: null, [Symbol(kTrailersCount)]: 0 }, aborted: false, timeoutCb: null, upgradeOrConnect: false, parser: null, maxHeadersCount: null, reusedSocket: false, host: 'api.openai.com', protocol: 'https:', _redirectable: Writable { _writableState: [WritableState], _events: [Object: null prototype], _eventsCount: 3, _maxListeners: undefined, _options: [Object], _ended: true, _ending: true, _redirectCount: 0, _redirects: [], _requestBodyLength: 7364, _requestBodyBuffers: [], _onNativeResponse: [Function (anonymous)], _currentRequest: [Circular *1], _currentUrl: 'https://api.openai.com/v1/chat/completions', [Symbol(kCapture)]: false }, [Symbol(kCapture)]: false, [Symbol(kBytesWritten)]: 0, [Symbol(kNeedDrain)]: false, [Symbol(corked)]: 0, [Symbol(kOutHeaders)]: [Object: null prototype] { accept: [Array], 'content-type': [Array], 'user-agent': [Array], authorization: [Array], 'content-length': [Array], host: [Array] }, [Symbol(errored)]: null, [Symbol(kHighWaterMark)]: 16384, [Symbol(kRejectNonStandardBodyWrites)]: false, [Symbol(kUniqueHeaders)]: null }, response: { status: 429, statusText: 'Too Many Requests', headers: { date: 'Mon, 06 Nov 2023 11:32:51 GMT', 'content-type': 'application/json; charset=utf-8', 'content-length': '477', connection: 'close', vary: 'Origin', 'x-ratelimit-limit-requests': '200', 'x-ratelimit-limit-tokens': '40000', 'x-ratelimit-remaining-requests': '196', 'x-ratelimit-remaining-tokens': '33175', 'x-ratelimit-reset-requests': '28m47.985s', 'x-ratelimit-reset-tokens': '10.236s', 'x-request-id': 'b139cbb15fd19834582fe3b584bfdca9', 'strict-transport-security': 'max-age=15724800; includeSubDomains', 'cf-cache-status': 'DYNAMIC', server: 'cloudflare', 'cf-ray': '821d04aacda10f75-EWR', 'alt-svc': 'h3=":443"; ma=86400' }, config: { transitional: [Object], adapter: [Function: httpAdapter], transformRequest: [Array], transformResponse: [Array], timeout: 0, xsrfCookieName: 'XSRF-TOKEN', xsrfHeaderName: 'X-XSRF-TOKEN', maxContentLength: -1, maxBodyLength: -1, validateStatus: [Function: validateStatus], headers: [Object], method: 'post', data: {"model":"gpt-3.5-turbo-16k","functions":[{"name":"rename_variables_and_functions","description":"Rename variables and function names in Javascript code","parameters":{"type":"object","properties":{"variablesAndFunctionsToRename":{"type":"array","items":{"type":"object","properties":{"name":{"type":"string","description":"The name of the variable or function name to rename"},"newName":{"type":"string","description":"The new name of the variable or function name"}},"required":["name","newName"]}}},"required":["variablesToRename"]}}],"messages":[{"role":"assistant","content":"Rename all Javascript variables and functions to have descriptive names based on their usage in the code."},{"role":"user","content":" a = a.join(\" \");\n }\n if (Ud(b)) {\n b = b.join(\" \");\n }\n return a + 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Originally created by @cairocoder on GitHub (Nov 6, 2023). Original GitHub issue: https://github.com/jehna/humanify/issues/2 I am getting "Too many requests" error: `humanify/node_modules/axios/lib/core/createError.js:16 var error = new Error(message); ^ Error: Request failed with status code 429 at createError (/Users/cairocoder/Sites/localhost/humanify/node_modules/axios/lib/core/createError.js:16:15) at settle (/Users/cairocoder/Sites/localhost/humanify/node_modules/axios/lib/core/settle.js:17:12) at IncomingMessage.handleStreamEnd (/Users/cairocoder/Sites/localhost/humanify/node_modules/axios/lib/adapters/http.js:322:11) at IncomingMessage.emit (node:events:526:35) at IncomingMessage.emit (node:domain:489:12) at endReadableNT (node:internal/streams/readable:1359:12) at processTicksAndRejections (node:internal/process/task_queues:82:21) { config: { transitional: { silentJSONParsing: true, forcedJSONParsing: true, clarifyTimeoutError: false }, adapter: [Function: httpAdapter], transformRequest: [ [Function: transformRequest] ], 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Author
Owner

@jehna commented on GitHub (Nov 6, 2023):

Sounds like there has been some change in OpenAI API, since previously there was no issue. I'll check what the rate limits are currently, should be easy to fix

<!-- gh-comment-id:1795020263 --> @jehna commented on GitHub (Nov 6, 2023): Sounds like there has been some change in OpenAI API, since previously there was no issue. I'll check what the rate limits are currently, should be easy to fix
Author
Owner

@cairocoder commented on GitHub (Nov 7, 2023):

Good, will be waiting .. and thanks for your effort.

<!-- gh-comment-id:1797184400 --> @cairocoder commented on GitHub (Nov 7, 2023): Good, will be waiting .. and thanks for your effort.
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Owner

@0xdevalias commented on GitHub (Nov 13, 2023):

I'll check what the rate limits are currently

Not sure if these have changed since the OpenAI dev day recently (I think they mentioned increasing the rate limits from memory?)


Ideally the code would know how to identify when a rate limit was hit, and to provide some feedback/recovery option to the user (eg. slowdown/wait for limit period to reset/etc)

<!-- gh-comment-id:1807355080 --> @0xdevalias commented on GitHub (Nov 13, 2023): > I'll check what the rate limits are currently Not sure if these have changed since the OpenAI dev day recently (I think they mentioned increasing the rate limits from memory?) - https://platform.openai.com/docs/guides/rate-limits - > Rate limits are measured in five ways: RPM (requests per minute), RPD (requests per day), TPM (tokens per minute), TPD (tokens per day), and IPM (images per minute). Rate limits can be hit across any of the options depending on what occurs first. - https://platform.openai.com/docs/guides/rate-limits/usage-tiers - TIER | QUALIFICATION | USAGE LIMITS -- | -- | -- Free | User must be in an allowed geography | $100 / month Tier 1 | $5 paid | $100 / month Tier 2 | $50 paid and 7+ days since first successful payment | $500 / month Tier 3 | $100 paid and 7+ days since first successful payment | $1,000 / month Tier 4 | $250 paid and 14+ days since first successful payment | $5,000 / month Tier 5 | $1,000 paid and 30+ days since first successful payment | $10,000 / month - https://platform.openai.com/docs/guides/rate-limits/usage-tiers?context=tier-one - MODEL | RPM | RPD | TPM | TPD -- | -- | -- | -- | -- gpt-3.5-turbo | 3,500 | 10,000 | 40,000 | - - https://platform.openai.com/docs/guides/rate-limits/usage-tiers?context=tier-two - MODEL | RPM | RPD | TPM | TPD -- | -- | -- | -- | -- gpt-3.5-turbo | 3,500 | - | 80,000 | - - https://platform.openai.com/docs/guides/rate-limits/usage-tiers?context=tier-three - MODEL | RPM | RPD | TPM | TPD -- | -- | -- | -- | -- gpt-3.5-turbo | 3,500 | - | 160,000 | - - https://platform.openai.com/docs/guides/rate-limits/usage-tiers?context=tier-three - MODEL | RPM | RPD | TPM | TPD -- | -- | -- | -- | -- gpt-3.5-turbo | 3,500 | - | 160,000 | - - https://platform.openai.com/docs/guides/rate-limits/usage-tiers?context=tier-four - MODEL | RPM | RPD | TPM | TPD -- | -- | -- | -- | -- gpt-3.5-turbo | 10,000 | - | 1,000,000 | - - https://platform.openai.com/docs/guides/rate-limits/usage-tiers?context=tier-five - MODEL | RPM | RPD | TPM | TPD -- | -- | -- | -- | -- gpt-3.5-turbo | 10,000 | - | 1,000,000 | - --- Ideally the code would know how to identify when a rate limit was hit, and to provide some feedback/recovery option to the user (eg. slowdown/wait for limit period to reset/etc)
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@jehna commented on GitHub (Nov 13, 2023):

Rate limits are imposed at the organization level, not user level.

https://platform.openai.com/docs/guides/rate-limits?context=tier-free

I was first thinking about throttling the requests to an allowed level, but I think it makes more sense to handle the rate limit error as it occurs, as there may be other users at the organization level exhausting the rate limit at the same time 🤔

<!-- gh-comment-id:1807555598 --> @jehna commented on GitHub (Nov 13, 2023): > Rate limits are imposed at the [organization level](https://platform.openai.com/docs/guides/production-best-practices), not user level. https://platform.openai.com/docs/guides/rate-limits?context=tier-free I was first thinking about throttling the requests to an allowed level, but I think it makes more sense to handle the rate limit error as it occurs, as there may be other users at the organization level exhausting the rate limit at the same time 🤔
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@0xdevalias commented on GitHub (Nov 13, 2023):

but I think it makes more sense to handle the rate limit error as it occurs

@jehna Yeah, that sounds like a good approach to me.

I'm not sure, but do the standard API responses return any details about how much of the rate limit is 'remaining' in their headers/etc? Or is it opaque until you hit an error response?

Edit: Sounds like they do:

In addition to seeing your rate limit on your account page, you can also view important information about your rate limits such as the remaining requests, tokens, and other metadata in the headers of the HTTP response.

You can expect to see the following header fields:

FIELD SAMPLE VALUE DESCRIPTION
x-ratelimit-limit-requests 60 The maximum number of requests that are permitted before exhausting the rate limit.
x-ratelimit-limit-tokens 150000 The maximum number of tokens that are permitted before exhausting the rate limit.
x-ratelimit-remaining-requests 59 The remaining number of requests that are permitted before exhausting the rate limit.
x-ratelimit-remaining-tokens 149984 The remaining number of tokens that are permitted before exhausting the rate limit.
x-ratelimit-reset-requests 1s The time until the rate limit (based on requests) resets to its initial state.
x-ratelimit-reset-tokens 6m0s The time until the rate limit (based on tokens) resets to its initial state.

Also have notes on error mitigation:

Including exponential backoff:

And request batching:

<!-- gh-comment-id:1807952934 --> @0xdevalias commented on GitHub (Nov 13, 2023): > but I think it makes more sense to handle the rate limit error as it occurs @jehna Yeah, that sounds like a good approach to me. I'm not sure, but do the standard API responses return any details about how much of the rate limit is 'remaining' in their headers/etc? Or is it opaque until you hit an error response? **Edit:** Sounds like they do: - https://platform.openai.com/docs/guides/rate-limits/rate-limits-in-headers > In addition to seeing your rate limit on your [account page](https://platform.openai.com/account/rate-limits), you can also view important information about your rate limits such as the remaining requests, tokens, and other metadata in the headers of the HTTP response. > > You can expect to see the following header fields: > > FIELD | SAMPLE VALUE | DESCRIPTION > -- | -- | -- > x-ratelimit-limit-requests | 60 | The maximum number of requests that are permitted before exhausting the rate limit. > x-ratelimit-limit-tokens | 150000 | The maximum number of tokens that are permitted before exhausting the rate limit. > x-ratelimit-remaining-requests | 59 | The remaining number of requests that are permitted before exhausting the rate limit. > x-ratelimit-remaining-tokens | 149984 | The remaining number of tokens that are permitted before exhausting the rate limit. > x-ratelimit-reset-requests | 1s | The time until the rate limit (based on requests) resets to its initial state. > x-ratelimit-reset-tokens | 6m0s | The time until the rate limit (based on tokens) resets to its initial state. Also have notes on error mitigation: - https://platform.openai.com/docs/guides/rate-limits/error-mitigation Including exponential backoff: - https://platform.openai.com/docs/guides/rate-limits/retrying-with-exponential-backoff And request batching: - https://platform.openai.com/docs/guides/rate-limits/batching-requests
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@ishaan-jaff commented on GitHub (Nov 20, 2023):

@jehna @0xdevalias @cairocoder

i'm the maintainer of LiteLLM we allow you to maximize your throughput - load balance between multiple deployments (Azure, OpenAI)
I'd love your feedback, especially if this does not solve your problem

Here's how to use it
Docs: https://docs.litellm.ai/docs/routing

from litellm import Router

model_list = [{ # list of model deployments 
    "model_name": "gpt-3.5-turbo", # model alias 
    "litellm_params": { # params for litellm completion/embedding call 
        "model": "azure/chatgpt-v-2", # actual model name
        "api_key": os.getenv("AZURE_API_KEY"),
        "api_version": os.getenv("AZURE_API_VERSION"),
        "api_base": os.getenv("AZURE_API_BASE")
    }
}, {
    "model_name": "gpt-3.5-turbo", 
    "litellm_params": { # params for litellm completion/embedding call 
        "model": "azure/chatgpt-functioncalling", 
        "api_key": os.getenv("AZURE_API_KEY"),
        "api_version": os.getenv("AZURE_API_VERSION"),
        "api_base": os.getenv("AZURE_API_BASE")
    }
}, {
    "model_name": "gpt-3.5-turbo", 
    "litellm_params": { # params for litellm completion/embedding call 
        "model": "vllm/TheBloke/Marcoroni-70B-v1-AWQ", 
        "api_key": os.getenv("OPENAI_API_KEY"),
    }
}]

router = Router(model_list=model_list)

# openai.ChatCompletion.create replacement
response = router.completion(model="gpt-3.5-turbo", 
                messages=[{"role": "user", "content": "Hey, how's it going?"}])

print(response)
<!-- gh-comment-id:1819835316 --> @ishaan-jaff commented on GitHub (Nov 20, 2023): @jehna @0xdevalias @cairocoder i'm the maintainer of LiteLLM we allow you to **maximize your throughput** - load balance between multiple deployments (Azure, OpenAI) **I'd love your feedback, especially if this does not solve your problem** Here's how to use it Docs: https://docs.litellm.ai/docs/routing ```python from litellm import Router model_list = [{ # list of model deployments "model_name": "gpt-3.5-turbo", # model alias "litellm_params": { # params for litellm completion/embedding call "model": "azure/chatgpt-v-2", # actual model name "api_key": os.getenv("AZURE_API_KEY"), "api_version": os.getenv("AZURE_API_VERSION"), "api_base": os.getenv("AZURE_API_BASE") } }, { "model_name": "gpt-3.5-turbo", "litellm_params": { # params for litellm completion/embedding call "model": "azure/chatgpt-functioncalling", "api_key": os.getenv("AZURE_API_KEY"), "api_version": os.getenv("AZURE_API_VERSION"), "api_base": os.getenv("AZURE_API_BASE") } }, { "model_name": "gpt-3.5-turbo", "litellm_params": { # params for litellm completion/embedding call "model": "vllm/TheBloke/Marcoroni-70B-v1-AWQ", "api_key": os.getenv("OPENAI_API_KEY"), } }] router = Router(model_list=model_list) # openai.ChatCompletion.create replacement response = router.completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hey, how's it going?"}]) print(response) ```
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@neoOpus commented on GitHub (Sep 28, 2024):

This is still a major limitation that requires a mitigation

  status: 429,
  statusText: 'Too Many Requests',
  errorDetails: undefined
<!-- gh-comment-id:2380891707 --> @neoOpus commented on GitHub (Sep 28, 2024): This is still a major limitation that requires a mitigation ``` status: 429, statusText: 'Too Many Requests', errorDetails: undefined ```
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@0xdevalias commented on GitHub (Sep 29, 2024):

This is still a major limitation that requires a mitigation

This would seem to be the section of code making the API call (at least for the OpenAI plugin):

github.com/jehna/humanify@64a1b9511d/src/plugins/openai/openai-rename.ts (L6-L38)

You would presumably need to add some logic to catch/detect/recover from this error around the client.chat.completions.create call/promise.

Ideally perhaps this pattern could be lifted into a more generic catch/retry type handler so that it could be reused across the other plugins as well.

<!-- gh-comment-id:2381078484 --> @0xdevalias commented on GitHub (Sep 29, 2024): > This is still a major limitation that requires a mitigation This would seem to be the section of code making the API call (at least for the OpenAI plugin): https://github.com/jehna/humanify/blob/64a1b9511d2e42b705df0858674eab1f5e83dd0d/src/plugins/openai/openai-rename.ts#L6-L38 You would presumably need to add some logic to catch/detect/recover from this error around the `client.chat.completions.create` call/promise. Ideally perhaps this pattern could be lifted into a more generic catch/retry type handler so that it could be reused across the other plugins as well.
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@neoOpus commented on GitHub (Sep 29, 2024):

This is still a major limitation that requires a mitigation

This would seem to be the section of code making the API call (at least for the OpenAI plugin):

github.com/jehna/humanify@64a1b9511d/src/plugins/openai/openai-rename.ts (L6-L38)

You would presumably need to add some logic to catch/detect/recover from this error around the client.chat.completions.create call/promise.

Ideally perhaps this pattern could be lifted into a more generic catch/retry type handler so that it could be reused across the other plugins as well.

I'm currently trying to use Gemini since I don't have OpenAI API, so it would be great if the solution can be adapted for other plugins too. I appreciate your continued support with my requests!

<!-- gh-comment-id:2381149114 --> @neoOpus commented on GitHub (Sep 29, 2024): > > This is still a major limitation that requires a mitigation > > This would seem to be the section of code making the API call (at least for the OpenAI plugin): > > https://github.com/jehna/humanify/blob/64a1b9511d2e42b705df0858674eab1f5e83dd0d/src/plugins/openai/openai-rename.ts#L6-L38 > > You would presumably need to add some logic to catch/detect/recover from this error around the `client.chat.completions.create` call/promise. > > Ideally perhaps this pattern could be lifted into a more generic catch/retry type handler so that it could be reused across the other plugins as well. I'm currently trying to use Gemini since I don't have OpenAI API, so it would be great if the solution can be adapted for other plugins too. I appreciate your continued support with my requests!
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@0xdevalias commented on GitHub (Oct 2, 2024):

Related issues:

<!-- gh-comment-id:2387480703 --> @0xdevalias commented on GitHub (Oct 2, 2024): Related issues: - https://github.com/jehna/humanify/issues/139
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@0xdevalias commented on GitHub (Oct 23, 2024):

I'm trying to process a pretty huge file and just ran into this:

RateLimitError: 429 Rate limit reached for gpt-4o-mini in organization org-abcdefghijklmnopqrstuvwx on requests per day (RPD): Limit 10000, Used 10000

I'm going to see about improving the rate limiting here:

// /src/plugins/openai/openai-rename.ts
+import Bottleneck from "bottleneck/light";

+// Math.floor(10_000 / 24) requests/hour
+const limiter = new Bottleneck({
+	"reservoir": Math.floor(10_000 / 24),
+	"reservoirRefreshAmount": Math.floor(10_000 / 24),
+	"reservoirRefreshInterval": 3_600_000
+});

export function openaiRename({
  apiKey,
  baseURL,
  model,
  contextWindowSize
}: {
  apiKey: string;
  baseURL: string;
  model: string;
  contextWindowSize: number;
}) {
  const client = new OpenAI({ apiKey, baseURL });

+  const wrapped = limiter.wrap(async (code: string): Promise<string> => {
    return await visitAllIdentifiers(
      code,
      async (name, surroundingCode) => {
        verbose.log(`Renaming ${name}`);
        verbose.log("Context: ", surroundingCode);

        const response = await client.chat.completions.create(
          toRenamePrompt(name, surroundingCode, model)
        );
        const result = response.choices[0].message?.content;
        if (!result) {
          throw new Error("Failed to rename", { cause: response });
        }
        const renamed = JSON.parse(result).newName;

        verbose.log(`Renamed to ${renamed}`);

        return renamed;
      },
      contextWindowSize,
      showPercentage
    );
+  });

+  return wrapped();
}

Originally posted by @brianjenkins94 in https://github.com/jehna/humanify/issues/167#issuecomment-2430584145

<!-- gh-comment-id:2430826952 --> @0xdevalias commented on GitHub (Oct 23, 2024): > I'm trying to process a pretty huge file and just ran into this: > > ``` > RateLimitError: 429 Rate limit reached for gpt-4o-mini in organization org-abcdefghijklmnopqrstuvwx on requests per day (RPD): Limit 10000, Used 10000 > ``` > > I'm going to see about improving the rate limiting here: > > ```diff > // /src/plugins/openai/openai-rename.ts > +import Bottleneck from "bottleneck/light"; > > +// Math.floor(10_000 / 24) requests/hour > +const limiter = new Bottleneck({ > + "reservoir": Math.floor(10_000 / 24), > + "reservoirRefreshAmount": Math.floor(10_000 / 24), > + "reservoirRefreshInterval": 3_600_000 > +}); > > export function openaiRename({ > apiKey, > baseURL, > model, > contextWindowSize > }: { > apiKey: string; > baseURL: string; > model: string; > contextWindowSize: number; > }) { > const client = new OpenAI({ apiKey, baseURL }); > > + const wrapped = limiter.wrap(async (code: string): Promise<string> => { > return await visitAllIdentifiers( > code, > async (name, surroundingCode) => { > verbose.log(`Renaming ${name}`); > verbose.log("Context: ", surroundingCode); > > const response = await client.chat.completions.create( > toRenamePrompt(name, surroundingCode, model) > ); > const result = response.choices[0].message?.content; > if (!result) { > throw new Error("Failed to rename", { cause: response }); > } > const renamed = JSON.parse(result).newName; > > verbose.log(`Renamed to ${renamed}`); > > return renamed; > }, > contextWindowSize, > showPercentage > ); > + }); > > + return wrapped(); > } > ``` > > _Originally posted by @brianjenkins94 in https://github.com/jehna/humanify/issues/167#issuecomment-2430584145_
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@0xdevalias commented on GitHub (Apr 20, 2025):

Potential inspiration for rate limits, exponential backoff, etc:

<!-- gh-comment-id:2817015799 --> @0xdevalias commented on GitHub (Apr 20, 2025): Potential inspiration for rate limits, exponential backoff, etc: - https://github.com/openai/codex/pull/176 - > This PR implements a more sophisticated rate limit handling mechanism with exponential backoff and jitter (Fixes https://github.com/openai/codex/issues/137). When the API returns a rate limit error, the client will now use a configurable exponential backoff strategy with jitter to avoid the "thundering herd" problem.
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@0xdevalias commented on GitHub (Apr 24, 2025):

For one potential solution to 'load balancing' / using different models/providers when hitting an error like a rate limit/etc:

Specifically parts like:

  • https://openrouter.ai/docs/features/model-routing
    • Model Routing

    • Dynamically route requests to models

    • The models parameter lets you automatically try other models if the primary model’s providers are down, rate-limited, or refuse to reply due to content moderation.

    • If the model you selected returns an error, OpenRouter will try to use the fallback model instead. If the fallback model is down or returns an error, OpenRouter will return that error.

  • https://openrouter.ai/docs/features/provider-routing
    • Provider Routing

    • Route requests to the best provider

    • OpenRouter routes requests to the best available providers for your model. By default, requests are load balanced across the top providers to maximize uptime.

Originally posted by @0xdevalias in https://github.com/jehna/humanify/issues/416

<!-- gh-comment-id:2826693760 --> @0xdevalias commented on GitHub (Apr 24, 2025): For one potential solution to 'load balancing' / using different models/providers when hitting an error like a rate limit/etc: - https://github.com/jehna/humanify/issues/416 Specifically parts like: > - https://openrouter.ai/docs/features/model-routing > - > Model Routing > - > Dynamically route requests to models > - > The `models` parameter lets you automatically try other models if the primary model’s providers are down, rate-limited, or refuse to reply due to content moderation. > - > If the model you selected returns an error, OpenRouter will try to use the fallback model instead. If the fallback model is down or returns an error, OpenRouter will return that error. > - https://openrouter.ai/docs/features/provider-routing > - > Provider Routing > - > Route requests to the best provider > - > OpenRouter routes requests to the best available providers for your model. By default, [requests are load balanced](https://openrouter.ai/docs/features/provider-routing#load-balancing-default-strategy) across the top providers to maximize uptime. > > _Originally posted by @0xdevalias in https://github.com/jehna/humanify/issues/416_
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@sanasaiyan-rgb commented on GitHub (Jan 24, 2026):

I am getting "Too many requests" error:

humanify/node_modules/axios/lib/core/createError.js:16 var error = new Error(message); ^ Error: Request failed with status code 429 at createError (/Users/cairocoder/Sites/localhost/humanify/node_modules/axios/lib/core/createError.js:16:15) at settle (/Users/cairocoder/Sites/localhost/humanify/node_modules/axios/lib/core/settle.js:17:12) at IncomingMessage.handleStreamEnd (/Users/cairocoder/Sites/localhost/humanify/node_modules/axios/lib/adapters/http.js:322:11) at IncomingMessage.emit (node:events:526:35) at IncomingMessage.emit (node:domain:489:12) at endReadableNT (node:internal/streams/readable:1359:12) at processTicksAndRejections (node:internal/process/task_queues:82:21) { config: { transitional: { silentJSONParsing: true, forcedJSONParsing: true, clarifyTimeoutError: false }, adapter: [Function: httpAdapter], transformRequest: [ [Function: transformRequest] ], transformResponse: [ [Function: transformResponse] ], timeout: 0, xsrfCookieName: 'XSRF-TOKEN', xsrfHeaderName: 'X-XSRF-TOKEN', maxContentLength: -1, maxBodyLength: -1, validateStatus: [Function: validateStatus], headers: { Accept: 'application/json, text/plain, */*', 'Content-Type': 'application/json', 'User-Agent': 'OpenAI/NodeJS/3.3.0', Authorization: 'Bearer xxx', 'Content-Length': 7364 }, method: 'post', data: {"model":"gpt-3.5-turbo-16k","functions":[{"name":"rename_variables_and_functions","description":"Rename variables and function names in Javascript code","parameters":{"type":"object","properties":{"variablesAndFunctionsToRename":{"type":"array","items":{"type":"object","properties":{"name":{"type":"string","description":"The name of the variable or function name to rename"},"newName":{"type":"string","description":"The new name of the variable or function name"}},"required":["name","newName"]}}},"required":["variablesToRename"]}}],"messages":[{"role":"assistant","content":"Rename all Javascript variables and functions to have descriptive names based on their usage in the code."},{"role":"user","content":" a = a.join(" ");\n }\n if (Ud(b)) {\n b = b.join(" ");\n }\n return a + " " + b;\n } else {\n return a;\n }\n } else {\n return b;\n }\n } else {\n return "";\n }\n }\n function eb(a) {\n for (var b = 0; b < a.length; b++) {\n var c = a[b];\n if (c.nodeType === Je) {\n return c;\n }\n }\n }\n function fb(a) {\n if (v(a)) {\n a = a.split(" ");\n }\n var b = ma();\n d(a, function (a) {\n if (a.length) {\n b[a] = true;\n }\n });\n return b;\n }\n function gb(a) {\n if (t(a)) {\n return a;\n } else {\n return {};\n }\n }\n function hb(a, b, c, e) {\n function f(a) {\n try {\n a.apply(null, Q(arguments, 1));\n } finally {\n s--;\n if (s === 0) {\n for (; t.length;) {\n try {\n t.pop()();\n } catch (b) {\n c.error(b);\n }\n }\n }\n }\n }\n function g(a) {\n var b = a.indexOf("#");\n if (b === -1) {\n return "";\n } else {\n return a.substr(b);\n }\n }\n function h() {\n y = null;\n i();\n j();\n }\n function i() {\n u = z();\n if (r(u)) {\n u = null;\n } else {\n u = u;\n }\n if (O(u, C)) {\n u = C;\n }\n C = u;\n }\n function j() {\n if (w !== k.url() || v !== u) {\n w = k.url();\n v = u;\n d(A, function (a) {\n a(k.url(), u);\n });\n }\n }\n var k = this;\n var l = a.location;\n var m = a.history;\n var o = a.setTimeout;\n var p = a.clearTimeout;\n var q = {};\n k.isMock = false;\n var s = 0;\n var t = [];\n k.$$completeOutstandingRequest = f;\n k.$$incOutstandingRequestCount = function () {\n s++;\n };\n k.notifyWhenNoOutstandingRequests = function (a) {\n if (s === 0) {\n a();\n } else {\n t.push(a);\n }\n };\n var u;\n var v;\n var w = l.href;\n var x = b.find("base");\n var y = null;\n var z = e.history ? function () {\n try {\n return m.state;\n } catch (a) {}\n } : n;\n i();\n v = u;\n k.url = function (b, c, d) {\n if (r(d)) {\n d = null;\n }\n if (l !== a.location) {\n l = a.location;\n }\n if (m !== a.history) {\n m = a.history;\n }\n if (b) {\n var f = v === d;\n if (w === b && (!e.history || f)) {\n return k;\n }\n var h = w && Pb(w) === Pb(b);\n w = b;\n v = d;\n if (!e.history || h && f) {\n if (!h) {\n y = b;\n }\n if (c) {\n l.replace(b);\n } else if (h) {\n l.hash = g(b);\n } else {\n l.href = b;\n }\n if (l.href !== b) {\n y = b;\n }\n } else {\n m[c ? 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Clear all errors

<!-- gh-comment-id:3795617047 --> @sanasaiyan-rgb commented on GitHub (Jan 24, 2026): > I am getting "Too many requests" error: > > `humanify/node_modules/axios/lib/core/createError.js:16 var error = new Error(message); ^ Error: Request failed with status code 429 at createError (/Users/cairocoder/Sites/localhost/humanify/node_modules/axios/lib/core/createError.js:16:15) at settle (/Users/cairocoder/Sites/localhost/humanify/node_modules/axios/lib/core/settle.js:17:12) at IncomingMessage.handleStreamEnd (/Users/cairocoder/Sites/localhost/humanify/node_modules/axios/lib/adapters/http.js:322:11) at IncomingMessage.emit (node:events:526:35) at IncomingMessage.emit (node:domain:489:12) at endReadableNT (node:internal/streams/readable:1359:12) at processTicksAndRejections (node:internal/process/task_queues:82:21) { config: { transitional: { silentJSONParsing: true, forcedJSONParsing: true, clarifyTimeoutError: false }, adapter: [Function: httpAdapter], transformRequest: [ [Function: 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@sanasaiyan-rgb commented on GitHub (Jan 24, 2026):

And false all should be true and prevention for all kinds of fail

<!-- gh-comment-id:3795618251 --> @sanasaiyan-rgb commented on GitHub (Jan 24, 2026): And false all should be true and prevention for all kinds of fail
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