Error Code :429

[amzamani]

After running the command : npx tsx src/bin/process-yt-playlist.ts

I am getting this error :

error upserting video's embeddings, server/pinecone.ts
error upserting transcripts for video bXLZ8I7s8tw How to Start Your First Business - The CASTLE Method Error: Request failed with status code 429
at createError (/Users/amzamani/Desktop/project/ai-powered-search/yt-semantic-search/node_modules/axios/lib/core/createError.js:16:15)
at settle (/Users/amzamani/Desktop/project/ai-powered-search/yt-semantic-search/node_modules/axios/lib/core/settle.js:17:12)
at IncomingMessage.handleStreamEnd (/Users/amzamani/Desktop/project/ai-powered-search/yt-semantic-search/node_modules/axios/lib/adapters/http.js:322:11)
at IncomingMessage.emit (node:events:525:35)
at IncomingMessage.emit (node:domain:489:12)
at endReadableNT (node:internal/streams/readable:1359:12)
at process.processTicksAndRejections (node:internal/process/task_queues:82:21) {
config: {
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timeout: 0,
xsrfCookieName: 'XSRF-TOKEN',
xsrfHeaderName: 'X-XSRF-TOKEN',
maxContentLength: -1,
maxBodyLength: -1,
validateStatus: [Function: validateStatus],
headers: {
Accept: 'application/json, text/plain, /',
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'User-Agent': 'OpenAI/NodeJS/3.2.1',
Authorization: 'Bearer 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',
'Content-Length': 562
},
method: 'post',
data: {"input":"resources that'll help you because this video is going to be ridiculously long and so we're just going to pile all the other information straight into that template again it's completely free just hit the link down below and you can download it if you like so let's start with step one of the castle method and that is conceptualize and to illustrate this I want to tell you a little bit about Cedric the strapping young rad must be Cedric am I right Cedric is an 18 year old who has just graduated from school and he","model":"text-embedding-ada-002"},
url: 'https://api.openai.com/v1/embeddings'
},
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finish: [Function: requestOnFinish]
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outputData: [],
outputSize: 0,
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useChunkedEncodingByDefault: true,
sendDate: false,
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strictContentLength: false,
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_hasBody: true,
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finished: true,
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servername: 'api.openai.com',
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authorizationError: null,
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connecting: false,
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server: undefined,
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ssl: [TLSWrap],
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[Symbol(res)]: [TLSWrap],
[Symbol(verified)]: true,
[Symbol(pendingSession)]: null,
[Symbol(async_id_symbol)]: 140,
[Symbol(kHandle)]: [TLSWrap],
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[Symbol(timeout)]: null,
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[Symbol(kBufferGen)]: null,
[Symbol(kCapture)]: false,
[Symbol(kSetNoDelay)]: false,
[Symbol(kSetKeepAlive)]: true,
[Symbol(kSetKeepAliveInitialDelay)]: 60,
[Symbol(kBytesRead)]: 0,
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[Symbol(connect-options)]: [Object]
},
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'Accept: application/json, text/plain, /\r\n' +
'Content-Type: application/json\r\n' +
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'Authorization: Bearer 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\r\n' +
'Content-Length: 562\r\n' +
'Host: api.openai.com\r\n' +
'Connection: close\r\n' +
'\r\n',
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agent: Agent {
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protocol: 'https:',
options: [Object: null prototype],
requests: [Object: null prototype] {},
sockets: [Object: null prototype],
freeSockets: [Object: null prototype] {},
keepAliveMsecs: 1000,
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scheduling: 'lifo',
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totalSocketCount: 4,
maxCachedSessions: 100,
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[Symbol(kCapture)]: false
},
socketPath: undefined,
method: 'POST',
maxHeaderSize: undefined,
insecureHTTPParser: undefined,
path: '/v1/embeddings',
_ended: true,
res: IncomingMessage {
_readableState: [ReadableState],
_events: [Object: null prototype],
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socket: [TLSSocket],
httpVersionMajor: 1,
httpVersionMinor: 1,
httpVersion: '1.1',
complete: true,
rawHeaders: [Array],
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method: null,
statusCode: 429,
statusMessage: 'Too Many Requests',
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authorization: [Array],
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host: [Array]
},
[Symbol(kUniqueHeaders)]: null
},
response: {
status: 429,
statusText: 'Too Many Requests',
headers: {
date: 'Thu, 11 May 2023 08:17:01 GMT',
'content-type': 'application/json; charset=utf-8',
'content-length': '206',
connection: 'close',
vary: 'Origin',
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server: 'cloudflare',
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},
config: {
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adapter: [Function: httpAdapter],
transformRequest: [Array],
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timeout: 0,
xsrfCookieName: 'XSRF-TOKEN',
xsrfHeaderName: 'X-XSRF-TOKEN',
maxContentLength: -1,
maxBodyLength: -1,
validateStatus: [Function: validateStatus],
headers: [Object],
method: 'post',
data: {"input":"resources that'll help you because this video is going to be ridiculously long and so we're just going to pile all the other information straight into that template again it's completely free just hit the link down below and you can download it if you like so let's start with step one of the castle method and that is conceptualize and to illustrate this I want to tell you a little bit about Cedric the strapping young rad must be Cedric am I right Cedric is an 18 year old who has just graduated from school and he","model":"text-embedding-ada-002"},
url: 'https://api.openai.com/v1/embeddings'
},
request: <ref *1> ClientRequest {
_events: [Object: null prototype],
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outputData: [],
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writable: true,
destroyed: false,
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finished: true,
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socket: [TLSSocket],
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'Accept: application/json, text/plain, /\r\n' +
'Content-Type: application/json\r\n' +
'User-Agent: OpenAI/NodeJS/3.2.1\r\n' +
'Authorization: Bearer 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\r\n' +
'Content-Length: 562\r\n' +
'Host: api.openai.com\r\n' +
'Connection: close\r\n' +
'\r\n',
_keepAliveTimeout: 0,
_onPendingData: [Function: nop],
agent: [Agent],
socketPath: undefined,
method: 'POST',
maxHeaderSize: undefined,
insecureHTTPParser: undefined,
path: '/v1/embeddings',
_ended: true,
res: [IncomingMessage],
aborted: false,
timeoutCb: null,
upgradeOrConnect: false,
parser: null,
maxHeadersCount: null,
reusedSocket: false,
host: 'api.openai.com',
protocol: 'https:',
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[Symbol(kCapture)]: false,
[Symbol(kBytesWritten)]: 0,
[Symbol(kEndCalled)]: true,
[Symbol(kNeedDrain)]: false,
[Symbol(corked)]: 0,
[Symbol(kOutHeaders)]: [Object: null prototype],
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},
data: { error: [Object] }
},
isAxiosError: true,
toJSON: [Function: toJSON]
}

@transitive-bullshit @sanjayk0508 can you guys suggest any fix ?