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[GH-ISSUE #31] Failed getting project name. TypeError: fetch failed [PineconeError: Failed getting project name. TypeError: fetch failed] #21

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opened 2026-02-22 18:17:28 -05:00 by yindo · 7 comments
yindo commented 2026-02-22 18:17:28 -05:00
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Originally created by @kaboomskizzle on GitHub (Jun 11, 2023).
Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/31

Not sure exactly how to resolve this. Tried a few things. Even the style doesn't seem to load properly, but I was able to create a workspace.

Console error on server:
yarn dev:server yarn dev:server yarn run v1.22.19 $ cd server && yarn dev $ NODE_ENV=development nodemon --ignore documents --ignore vector-cache --trace-warnings index.js [nodemon] 2.0.22 [nodemon] to restart at any time, enter rs[nodemon] watching path(s): *.* [nodemon] watching extensions: js,mjs,json [nodemon] startingnode --trace-warnings index.jsExample app listening on port 3001 SELECT * FROM workspaces Failed getting project name. TypeError: fetch failed [PineconeError: Failed getting project name. TypeError: fetch failed] Failed getting project name. TypeError: fetch failed [PineconeError: Failed getting project name. TypeError: fetch failed] SELECT * FROM workspaces

Browser Error:
GET http://localhost:3001/system/system-vectors Status 500 Internal Server Error VersionHTTP/1.1 Transferred335 B (21 B size) Referrer Policystrict-origin-when-cross-origin

Tried a few workarounds but seems this is where I keep getting stuck, on Linux Mint OS.

Thanks for all your hard work!
Kaboom.ski

Originally created by @kaboomskizzle on GitHub (Jun 11, 2023). Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/31 Not sure exactly how to resolve this. Tried a few things. Even the style doesn't seem to load properly, but I was able to create a workspace. Console error on server: `yarn dev:server yarn dev:server yarn run v1.22.19 $ cd server && yarn dev $ NODE_ENV=development nodemon --ignore documents --ignore vector-cache --trace-warnings index.js [nodemon] 2.0.22 [nodemon] to restart at any time, enter `rs` [nodemon] watching path(s): *.* [nodemon] watching extensions: js,mjs,json [nodemon] starting `node --trace-warnings index.js` Example app listening on port 3001 SELECT * FROM workspaces Failed getting project name. TypeError: fetch failed [PineconeError: Failed getting project name. TypeError: fetch failed] Failed getting project name. TypeError: fetch failed [PineconeError: Failed getting project name. TypeError: fetch failed] SELECT * FROM workspaces ` Browser Error: `GET http://localhost:3001/system/system-vectors Status 500 Internal Server Error VersionHTTP/1.1 Transferred335 B (21 B size) Referrer Policystrict-origin-when-cross-origin` Tried a few workarounds but seems this is where I keep getting stuck, on Linux Mint OS. Thanks for all your hard work! Kaboom.ski
yindo added the question label 2026-02-22 18:17:28 -05:00
yindo closed this issue 2026-02-22 18:17:28 -05:00
yindo commented 2026-02-22 18:17:29 -05:00
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@jwaltz commented on GitHub (Jun 11, 2023):

Did you create an index on app.pinecone.io?

Is server/.env.development populated with your pinecone environment, API key, and index?

PINECONE_ENVIRONMENT="asia-southeast1-gcp-free"
PINECONE_API_KEY="YOUR_API_KEY"
PINECONE_INDEX="docs"

Are the rest of the vector database env vars commented out?

@jwaltz commented on GitHub (Jun 11, 2023): Did you create an index on `app.pinecone.io`? Is `server/.env.development` populated with your pinecone environment, API key, and index? ```VECTOR_DB="pinecone" PINECONE_ENVIRONMENT="asia-southeast1-gcp-free" PINECONE_API_KEY="YOUR_API_KEY" PINECONE_INDEX="docs" ``` Are the rest of the vector database env vars commented out?
yindo commented 2026-02-22 18:17:29 -05:00
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@kaboomskizzle commented on GitHub (Jun 11, 2023):

server/.env.development

was not populated, just the .env

Added all details to .env.development

yes the rest of vector database env vars are left mostly commented out as per default

GET http://localhost:3001/system/system-vectors Status 500 Internal Server Error VersionHTTP/1.1 Transferred335 B (21 B size) Referrer Policystrict-origin-when-cross-origin

GET http://localhost:3001/system/system-vectors Status 500 Internal Server Error VersionHTTP/1.1 Transferred335 B (21 B size) Referrer Policystrict-origin-when-cross-origin

@kaboomskizzle commented on GitHub (Jun 11, 2023): > `server/.env.development` was not populated, just the .env Added all details to .env.development yes the rest of vector database env vars are left mostly commented out as per default `GET http://localhost:3001/system/system-vectors Status 500 Internal Server Error VersionHTTP/1.1 Transferred335 B (21 B size) Referrer Policystrict-origin-when-cross-origin` `GET http://localhost:3001/system/system-vectors Status 500 Internal Server Error VersionHTTP/1.1 Transferred335 B (21 B size) Referrer Policystrict-origin-when-cross-origin`
yindo commented 2026-02-22 18:17:29 -05:00
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@timothycarambat commented on GitHub (Jun 11, 2023):

Did you restart the server once you updated this information
also make sure that only one .env.development VECTOR_DB key is present and not commented out!

@timothycarambat commented on GitHub (Jun 11, 2023): Did you restart the server once you updated this information also make sure that only one .env.development `VECTOR_DB` key is present and not commented out!
yindo commented 2026-02-22 18:17:29 -05:00
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@kaboomskizzle commented on GitHub (Jun 12, 2023):

Did you restart the server once you updated this information also make sure that only one .env.development VECTOR_DB key is present and not commented out!

Yes I restarted server.

Here is what I have in the .env.development file:

`SERVER_PORT=3001
OPEN_AI_KEY=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
OPEN_MODEL_PREF='gpt-3.5-turbo'
CACHE_VECTORS="true"

Enable all below if you are using vector database: Chroma.

VECTOR_DB="chroma"

CHROMA_ENDPOINT='http://localhost:8000'

Enable all below if you are using vector database: Pinecone.

VECTOR_DB="pinecone"
PINECONE_ENVIRONMENT=us-west4-gcp-free
PINECONE_API_KEY=xyzpdqXXXXXXXXXXXXXXXXXX
PINECONE_INDEX=se-internal-knowledge

Enable all below if you are using vector database: LanceDB.

VECTOR_DB="lancedb"

CLOUD DEPLOYMENT VARIRABLES ONLY

AUTH_TOKEN="hunter2" # This is the password to your application if remote hosting.

JWT_SECRET="my-random-string-for-seeding" # Only needed if AUTH_TOKEN is set. Please generate random string at least 12 chars long.

STORAGE_DIR= # absolute filesystem path with no trailing slash

The server console logged this after I tried sending a message:yarn dev:server
yarn dev:server
yarn run v1.22.19
$ cd server && yarn dev
$ NODE_ENV=development nodemon --ignore documents --ignore vector-cache --trace-warnings index.js
[nodemon] 2.0.22
[nodemon] to restart at any time, enter rs
[nodemon] watching path(s): .
[nodemon] watching extensions: js,mjs,json
[nodemon] starting node --trace-warnings index.js
Example app listening on port 3001
SELECT * FROM workspaces
SELECT * FROM workspaces
SELECT * FROM workspaces WHERE slug = 'kaboomski-studios'
SELECT * FROM workspace_documents WHERE workspaceId = 1
SELECT * FROM workspaces WHERE slug = 'kaboomski-studios'
SELECT * FROM workspace_documents WHERE workspaceId = 1
SELECT * FROM workspace_chats WHERE workspaceId = 1 AND include = true ORDER BY id ASC
SELECT * FROM workspaces WHERE slug = 'kaboomski-studios'
SELECT * FROM workspace_documents WHERE workspaceId = 1
Request failed with status code 429 Error: Request failed with status code 429
at createError (/home/$Username/Documents/Apps/AnythingLLM/anything-llm-master/server/node_modules/axios/lib/core/createError.js:16:15)
at settle (/home/$Username/Documents/Apps/AnythingLLM/anything-llm-master/server/node_modules/axios/lib/core/settle.js:17:12)
at IncomingMessage.handleStreamEnd (/home/$Username/Documents/Apps/AnythingLLM/anything-llm-master/server/node_modules/axios/lib/adapters/http.js:322:11)
at IncomingMessage.emit (node:events:523:35)
at endReadableNT (node:internal/streams/readable:1367:12)
at process.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/3.2.1',
Authorization: 'Bearer XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX',
'Content-Length': 21
},
method: 'post',
data: '{"input":"kaboomski"}',
url: 'https://api.openai.com/v1/moderations'
},
request: <ref *1> ClientRequest {
_events: [Object: null prototype] {
abort: [Function (anonymous)],
aborted: [Function (anonymous)],
connect: [Function (anonymous)],
error: [Function (anonymous)],
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finish: [Function: requestOnFinish]
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useChunkedEncodingByDefault: true,
sendDate: false,
_removedConnection: false,
_removedContLen: false,
_removedTE: false,
strictContentLength: false,
_contentLength: 21,
_hasBody: true,
_trailer: '',
finished: true,
_headerSent: true,
_closed: true,
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],
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connecting: false,
_hadError: false,
_parent: null,
_host: 'api.openai.com',
_closeAfterHandlingError: false,
_readableState: [ReadableState],
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_writableState: [WritableState],
allowHalfOpen: false,
_sockname: null,
_pendingData: null,
_pendingEncoding: '',
server: undefined,
_server: null,
ssl: [TLSWrap],
_requestCert: true,
_rejectUnauthorized: true,
timeout: 5000,
parser: null,
_httpMessage: null,
autoSelectFamilyAttemptedAddresses: [Array],
[Symbol(res)]: [TLSWrap],
[Symbol(verified)]: true,
[Symbol(pendingSession)]: null,
[Symbol(async_id_symbol)]: -1,
[Symbol(kHandle)]: [TLSWrap],
[Symbol(lastWriteQueueSize)]: 0,
[Symbol(timeout)]: Timeout {
_idleTimeout: 5000,
_idlePrev: [TimersList],
_idleNext: [Timeout],
_idleStart: 48441,
_onTimeout: [Function: bound ],
_timerArgs: undefined,
_repeat: null,
_destroyed: false,
[Symbol(refed)]: false,
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},
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[Symbol(kCapture)]: false,
[Symbol(kSetNoDelay)]: false,
[Symbol(kSetKeepAlive)]: true,
[Symbol(kSetKeepAliveInitialDelay)]: 1,
[Symbol(kBytesRead)]: 0,
[Symbol(kBytesWritten)]: 0,
[Symbol(connect-options)]: [Object]
},
_header: 'POST /v1/moderations HTTP/1.1\r\n' +
'Accept: application/json, text/plain, /\r\n' +
'Content-Type: application/json\r\n' +
'User-Agent: OpenAI/NodeJS/3.2.1\r\n' +
'Authorization: Bearer XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\r\n' +
'Content-Length: 21\r\n' +
'Host: api.openai.com\r\n' +
'Connection: keep-alive\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: true,
maxSockets: Infinity,
maxFreeSockets: 256,
scheduling: 'lifo',
maxTotalSockets: Infinity,
totalSocketCount: 1,
maxCachedSessions: 100,
_sessionCache: [Object],
[Symbol(kCapture)]: false
},
socketPath: undefined,
method: 'POST',
maxHeaderSize: undefined,
insecureHTTPParser: undefined,
joinDuplicateHeaders: undefined,
path: '/v1/moderations',
_ended: true,
res: IncomingMessage {
_readableState: [ReadableState],
_events: [Object: null prototype],
_eventsCount: 4,
_maxListeners: undefined,
socket: null,
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/moderations',
redirects: [],
[Symbol(kCapture)]: false,
[Symbol(kHeaders)]: [Object],
[Symbol(kHeadersCount)]: 26,
[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: 21,
_requestBodyBuffers: [],
_onNativeResponse: [Function (anonymous)],
_currentRequest: [Circular *1],
_currentUrl: 'https://api.openai.com/v1/moderations',
[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, 12 Jun 2023 06:50:46 GMT',
'content-type': 'application/json',
'content-length': '184',
connection: 'keep-alive',
'openai-version': '2020-10-01',
'openai-organization': 'user-5yfvaypb8qudlcc5jrh5xkyv',
'x-request-id': '5350903f79f4d432f5cc25aa9ed55dc6',
'openai-processing-ms': '186',
'strict-transport-security': 'max-age=15724800; includeSubDomains',
'cf-cache-status': 'DYNAMIC',
server: 'cloudflare',
'cf-ray': '7d6029543869290b-DEN',
'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: '{"input":"kaboomski"}',
url: 'https://api.openai.com/v1/moderations'
},
request: <ref *1> ClientRequest {
_events: [Object: null prototype],
_eventsCount: 7,
_maxListeners: undefined,
outputData: [],
outputSize: 0,
writable: true,
destroyed: true,
_last: false,
chunkedEncoding: false,
shouldKeepAlive: true,
maxRequestsOnConnectionReached: false,
_defaultKeepAlive: true,
useChunkedEncodingByDefault: true,
sendDate: false,
_removedConnection: false,
_removedContLen: false,
_removedTE: false,
strictContentLength: false,
_contentLength: 21,
_hasBody: true,
_trailer: '',
finished: true,
_headerSent: true,
_closed: true,
socket: [TLSSocket],
_header: 'POST /v1/moderations HTTP/1.1\r\n' +
'Accept: application/json, text/plain, /\r\n' +
'Content-Type: application/json\r\n' +
'User-Agent: OpenAI/NodeJS/3.2.1\r\n' +
'Authorization: Bearer XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\r\n' +
'Content-Length: 21\r\n' +
'Host: api.openai.com\r\n' +
'Connection: keep-alive\r\n' +
'\r\n',
_keepAliveTimeout: 0,
_onPendingData: [Function: nop],
agent: [Agent],
socketPath: undefined,
method: 'POST',
maxHeaderSize: undefined,
insecureHTTPParser: undefined,
joinDuplicateHeaders: undefined,
path: '/v1/moderations',
_ended: true,
res: [IncomingMessage],
aborted: false,
timeoutCb: null,
upgradeOrConnect: false,
parser: null,
maxHeadersCount: null,
reusedSocket: false,
host: 'api.openai.com',
protocol: 'https:',
_redirectable: [Writable],
[Symbol(kCapture)]: false,
[Symbol(kBytesWritten)]: 0,
[Symbol(kNeedDrain)]: false,
[Symbol(corked)]: 0,
[Symbol(kOutHeaders)]: [Object: null prototype],
[Symbol(errored)]: null,
[Symbol(kHighWaterMark)]: 16384,
[Symbol(kRejectNonStandardBodyWrites)]: false,
[Symbol(kUniqueHeaders)]: null
},
data: { error: [Object] }
},
isAxiosError: true,
toJSON: [Function: toJSON]
}
I asked Bard:The error message "Request failed with status code 429" means that the request to the OpenAI API was rejected because you have exceeded the API's rate limit. The OpenAI API has a rate limit of 10 requests per second per user. This means that you can only make 10 requests per second to the OpenAI API. If you try to make more than 10 requests per second, your requests will be rejected with a status code of 429.

There are a few things you can do to avoid this error:

Slow down your requests. If you are making a lot of requests to the OpenAI API, try slowing down your requests. You can do this by using a library like axios or request that allows you to set a timeout on your requests.
Use a caching library. A caching library can help you to reduce the number of requests you make to the OpenAI API. This is because the caching library can store the results of previous requests and return them if the same request is made again.
Use a proxy. A proxy can help you to reduce the number of requests you make to the OpenAI API. This is because the proxy can handle the requests on your behalf and only send the requests to the OpenAI API when necessary.
If you are still having trouble with this error, you can contact OpenAI support for help.`

Figured I had made a noob mistake myself with Axios or something, since I'm a bit rusty with JS coding...
Thanks for helping me to solve!
Kaboom.ski

@kaboomskizzle commented on GitHub (Jun 12, 2023): > Did you restart the server once you updated this information also make sure that only one .env.development `VECTOR_DB` key is present and not commented out! Yes I restarted server. Here is what I have in the .env.development file: `SERVER_PORT=3001 OPEN_AI_KEY=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 OPEN_MODEL_PREF='gpt-3.5-turbo' CACHE_VECTORS="true" # Enable all below if you are using vector database: Chroma. # VECTOR_DB="chroma" # CHROMA_ENDPOINT='http://localhost:8000' # Enable all below if you are using vector database: Pinecone. VECTOR_DB="pinecone" PINECONE_ENVIRONMENT=us-west4-gcp-free PINECONE_API_KEY=xyzpdqXXXXXXXXXXXXXXXXXX PINECONE_INDEX=se-internal-knowledge # Enable all below if you are using vector database: LanceDB. # VECTOR_DB="lancedb" # CLOUD DEPLOYMENT VARIRABLES ONLY # AUTH_TOKEN="hunter2" # This is the password to your application if remote hosting. # JWT_SECRET="my-random-string-for-seeding" # Only needed if AUTH_TOKEN is set. Please generate random string at least 12 chars long. # STORAGE_DIR= # absolute filesystem path with no trailing slash ` The server console logged this after I tried sending a message: `yarn dev:server yarn dev:server yarn run v1.22.19 $ cd server && yarn dev $ NODE_ENV=development nodemon --ignore documents --ignore vector-cache --trace-warnings index.js [nodemon] 2.0.22 [nodemon] to restart at any time, enter `rs` [nodemon] watching path(s): *.* [nodemon] watching extensions: js,mjs,json [nodemon] starting `node --trace-warnings index.js` Example app listening on port 3001 SELECT * FROM workspaces SELECT * FROM workspaces SELECT * FROM workspaces WHERE slug = 'kaboomski-studios' SELECT * FROM workspace_documents WHERE workspaceId = 1 SELECT * FROM workspaces WHERE slug = 'kaboomski-studios' SELECT * FROM workspace_documents WHERE workspaceId = 1 SELECT * FROM workspace_chats WHERE workspaceId = 1 AND include = true ORDER BY id ASC SELECT * FROM workspaces WHERE slug = 'kaboomski-studios' SELECT * FROM workspace_documents WHERE workspaceId = 1 Request failed with status code 429 Error: Request failed with status code 429 at createError (/home/$Username/Documents/Apps/AnythingLLM/anything-llm-master/server/node_modules/axios/lib/core/createError.js:16:15) at settle (/home/$Username/Documents/Apps/AnythingLLM/anything-llm-master/server/node_modules/axios/lib/core/settle.js:17:12) at IncomingMessage.handleStreamEnd (/home/$Username/Documents/Apps/AnythingLLM/anything-llm-master/server/node_modules/axios/lib/adapters/http.js:322:11) at IncomingMessage.emit (node:events:523:35) at endReadableNT (node:internal/streams/readable:1367:12) at process.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/3.2.1', Authorization: 'Bearer XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX', 'Content-Length': 21 }, method: 'post', data: '{"input":"kaboomski"}', url: 'https://api.openai.com/v1/moderations' }, 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: true, _last: false, chunkedEncoding: false, shouldKeepAlive: true, maxRequestsOnConnectionReached: false, _defaultKeepAlive: true, useChunkedEncodingByDefault: true, sendDate: false, _removedConnection: false, _removedContLen: false, _removedTE: false, strictContentLength: false, _contentLength: 21, _hasBody: true, _trailer: '', finished: true, _headerSent: true, _closed: true, 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: 9, 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: 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'x-request-id': '5350903f79f4d432f5cc25aa9ed55dc6', 'openai-processing-ms': '186', 'strict-transport-security': 'max-age=15724800; includeSubDomains', 'cf-cache-status': 'DYNAMIC', server: 'cloudflare', 'cf-ray': '7d6029543869290b-DEN', '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: '{"input":"kaboomski"}', url: 'https://api.openai.com/v1/moderations' }, request: <ref *1> ClientRequest { _events: [Object: null prototype], _eventsCount: 7, _maxListeners: undefined, outputData: [], outputSize: 0, writable: true, destroyed: true, _last: false, chunkedEncoding: false, shouldKeepAlive: true, maxRequestsOnConnectionReached: false, _defaultKeepAlive: true, useChunkedEncodingByDefault: true, sendDate: false, _removedConnection: false, _removedContLen: false, _removedTE: false, strictContentLength: false, _contentLength: 21, _hasBody: true, _trailer: '', finished: true, _headerSent: true, _closed: true, socket: [TLSSocket], _header: 'POST /v1/moderations HTTP/1.1\r\n' + 'Accept: application/json, text/plain, */*\r\n' + 'Content-Type: application/json\r\n' + 'User-Agent: OpenAI/NodeJS/3.2.1\r\n' + 'Authorization: Bearer XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX\r\n' + 'Content-Length: 21\r\n' + 'Host: api.openai.com\r\n' + 'Connection: keep-alive\r\n' + '\r\n', _keepAliveTimeout: 0, _onPendingData: [Function: nop], agent: [Agent], socketPath: undefined, method: 'POST', maxHeaderSize: undefined, insecureHTTPParser: undefined, joinDuplicateHeaders: undefined, path: '/v1/moderations', _ended: true, res: [IncomingMessage], aborted: false, timeoutCb: null, upgradeOrConnect: false, parser: null, maxHeadersCount: null, reusedSocket: false, host: 'api.openai.com', protocol: 'https:', _redirectable: [Writable], [Symbol(kCapture)]: false, [Symbol(kBytesWritten)]: 0, [Symbol(kNeedDrain)]: false, [Symbol(corked)]: 0, [Symbol(kOutHeaders)]: [Object: null prototype], [Symbol(errored)]: null, [Symbol(kHighWaterMark)]: 16384, [Symbol(kRejectNonStandardBodyWrites)]: false, [Symbol(kUniqueHeaders)]: null }, data: { error: [Object] } }, isAxiosError: true, toJSON: [Function: toJSON] } ` I asked Bard: `The error message "Request failed with status code 429" means that the request to the OpenAI API was rejected because you have exceeded the API's rate limit. The OpenAI API has a rate limit of 10 requests per second per user. This means that you can only make 10 requests per second to the OpenAI API. If you try to make more than 10 requests per second, your requests will be rejected with a status code of 429. There are a few things you can do to avoid this error: Slow down your requests. If you are making a lot of requests to the OpenAI API, try slowing down your requests. You can do this by using a library like axios or request that allows you to set a timeout on your requests. Use a caching library. A caching library can help you to reduce the number of requests you make to the OpenAI API. This is because the caching library can store the results of previous requests and return them if the same request is made again. Use a proxy. A proxy can help you to reduce the number of requests you make to the OpenAI API. This is because the proxy can handle the requests on your behalf and only send the requests to the OpenAI API when necessary. If you are still having trouble with this error, you can contact OpenAI support for help.` Figured I had made a noob mistake myself with Axios or something, since I'm a bit rusty with JS coding... Thanks for helping me to solve! Kaboom.ski
yindo commented 2026-02-22 18:17:29 -05:00
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@kaboomskizzle commented on GitHub (Jun 12, 2023):

Sorry for my silly fail here guys! Maybe it will help someone else in the future if they make the same epic fail.

The problem was completely my fault, nothing wrong with code at all in this case.
In my case I had used an API key from an unpaid OpenAI account, which apparently then failed to retrieve data from OpenAI via Axios.

@kaboomskizzle commented on GitHub (Jun 12, 2023): Sorry for my silly fail here guys! Maybe it will help someone else in the future if they make the same epic fail. The problem was completely my fault, nothing wrong with code at all in this case. In my case I had used an API key from an unpaid OpenAI account, which apparently then failed to retrieve data from OpenAI via Axios.
yindo commented 2026-02-22 18:17:29 -05:00
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@sweetlilmre commented on GitHub (Jun 12, 2023):

@kaboomskizzle you leaked a key up there, you may want to nuke that key now.

@sweetlilmre commented on GitHub (Jun 12, 2023): @kaboomskizzle you leaked a key up there, you may want to nuke that key now.
yindo commented 2026-02-22 18:17:29 -05:00
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@kaboomskizzle commented on GitHub (Jun 12, 2023):

@kaboomskizzle you leaked a key up there, you may want to nuke that key now.

Thanks!

@kaboomskizzle commented on GitHub (Jun 12, 2023): > @kaboomskizzle you leaked a key up there, you may want to nuke that key now. Thanks!
yindo changed title from Failed getting project name. TypeError: fetch failed [PineconeError: Failed getting project name. TypeError: fetch failed] to [GH-ISSUE #31] Failed getting project name. TypeError: fetch failed [PineconeError: Failed getting project name. TypeError: fetch failed] 2026-06-05 14:33:02 -04:00
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Reference: Mintplex-Labs/anything-llm#21
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