kopia lustrzana https://github.com/transitive-bullshit/chatgpt-api
feat: add persistence demo and keyv support
Travis Fischer
rodzic
21dd9d518f
commit
531e180e3f
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@ -5,7 +5,7 @@ import { ChatGPTAPI } from '../src'
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dotenv.config()
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/**
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* Demo CLI for testing the `onProgress` handler.
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* Demo CLI for testing the `onProgress` streaming support.
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*
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* ```
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* npx tsx demos/demo-on-progress.ts
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@ -0,0 +1,72 @@
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import KeyvRedis from '@keyv/redis'
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import dotenv from 'dotenv-safe'
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import Keyv from 'keyv'
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import { oraPromise } from 'ora'
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import { ChatGPTAPI, type ChatMessage } from '../src'
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dotenv.config()
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/**
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* Demo CLI for testing message persistence with redis.
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*
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* ```
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* npx tsx demos/demo-persistence.ts
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* ```
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*/
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async function main() {
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const redisUrl = process.env.REDIS_URL || 'redis://localhost:6379'
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const store = new KeyvRedis(redisUrl)
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const messageStore = new Keyv({ store, namespace: 'chatgpt-demo' })
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let res: ChatMessage
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{
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// create an initial conversation in one client
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const api = new ChatGPTAPI({
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apiKey: process.env.OPENAI_API_KEY,
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messageStore
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})
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const prompt = 'What are the top 5 anime of all time?'
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res = await oraPromise(api.sendMessage(prompt), {
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text: prompt
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})
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console.log('\n' + res.text + '\n')
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}
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{
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// follow up with a second client using the same underlying redis store
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const api = new ChatGPTAPI({
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apiKey: process.env.OPENAI_API_KEY,
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messageStore
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})
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const prompt = 'Can you give 5 more?'
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res = await oraPromise(
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api.sendMessage(prompt, {
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conversationId: res.conversationId,
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parentMessageId: res.id
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}),
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{
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text: prompt
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}
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)
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console.log('\n' + res.text + '\n')
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}
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// wait for redis to finish and then disconnect
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await new Promise<void>((resolve) => {
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setTimeout(() => {
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messageStore.disconnect()
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resolve()
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}, 1000)
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})
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}
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main().catch((err) => {
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console.error(err)
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process.exit(1)
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})
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11
package.json
11
package.json
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@ -37,15 +37,16 @@
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"dependencies": {
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"eventsource-parser": "^0.0.5",
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"gpt-3-encoder": "^1.1.4",
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"keyv": "^4.5.2",
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"p-timeout": "^6.0.0",
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"quick-lru": "^6.1.1",
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"uuid": "^9.0.0"
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},
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"devDependencies": {
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"@keyv/redis": "^2.5.4",
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"@trivago/prettier-plugin-sort-imports": "^4.0.0",
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"@types/node": "^18.11.9",
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"@types/uuid": "^9.0.0",
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"ava": "^5.1.0",
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"del-cli": "^5.0.0",
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"dotenv-safe": "^8.2.0",
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"husky": "^8.0.2",
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@ -64,14 +65,6 @@
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"prettier --write"
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]
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},
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"ava": {
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"extensions": {
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"ts": "module"
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},
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"nodeArguments": [
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"--loader=tsx"
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]
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},
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"keywords": [
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"openai",
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"chatgpt",
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538
pnpm-lock.yaml
538
pnpm-lock.yaml
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@ -1,15 +1,16 @@
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lockfileVersion: 5.4
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specifiers:
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'@keyv/redis': ^2.5.4
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'@trivago/prettier-plugin-sort-imports': ^4.0.0
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'@types/node': ^18.11.9
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'@types/uuid': ^9.0.0
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ava: ^5.1.0
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del-cli: ^5.0.0
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dotenv-safe: ^8.2.0
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eventsource-parser: ^0.0.5
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gpt-3-encoder: ^1.1.4
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husky: ^8.0.2
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keyv: ^4.5.2
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lint-staged: ^13.0.3
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npm-run-all: ^4.1.5
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ora: ^6.1.2
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@ -26,15 +27,16 @@ specifiers:
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dependencies:
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eventsource-parser: 0.0.5
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gpt-3-encoder: 1.1.4
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keyv: 4.5.2
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p-timeout: 6.1.0
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quick-lru: 6.1.1
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uuid: 9.0.0
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devDependencies:
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'@keyv/redis': 2.5.4
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'@trivago/prettier-plugin-sort-imports': 4.0.0_prettier@2.8.3
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'@types/node': 18.11.18
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'@types/uuid': 9.0.0
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ava: 5.1.1
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del-cli: 5.0.0
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dotenv-safe: 8.2.0
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husky: 8.0.3
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@ -334,6 +336,10 @@ packages:
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dev: true
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optional: true
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@ -372,6 +378,15 @@ packages:
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dev: true
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engines: {node: '>= 12'}
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peerDependenciesMeta:
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acorn: 8.8.2
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acorn-walk: 8.2.0
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ansi-styles: 6.2.1
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cbor: 8.1.0
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emittery: 1.0.1
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figures: 5.0.0
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supertap: 3.0.1
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yargs: 17.6.2
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transitivePeerDependencies:
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@ -623,10 +547,6 @@ packages:
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@ -691,11 +611,6 @@ packages:
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/stack-utils/2.0.6:
|
||||
resolution: {integrity: sha512-XlkWvfIm6RmsWtNJx+uqtKLS8eqFbxUg0ZzLXqY0caEy9l7hruX8IpiDnjsLavoBgqCCR71TqWO8MaXYheJ3RQ==}
|
||||
engines: {node: '>=10'}
|
||||
dependencies:
|
||||
escape-string-regexp: 2.0.0
|
||||
/standard-as-callback/2.1.0:
|
||||
resolution: {integrity: sha512-qoRRSyROncaz1z0mvYqIE4lCd9p2R90i6GxW3uZv5ucSu8tU7B5HXUP1gG8pVZsYNVaXjk8ClXHPttLyxAL48A==}
|
||||
dev: true
|
||||
|
||||
/string-argv/0.3.1:
|
||||
|
|
@ -3010,16 +2678,6 @@ packages:
|
|||
ts-interface-checker: 0.1.13
|
||||
dev: true
|
||||
|
||||
/supertap/3.0.1:
|
||||
resolution: {integrity: sha512-u1ZpIBCawJnO+0QePsEiOknOfCRq0yERxiAchT0i4li0WHNUJbf0evXXSXOcCAR4M8iMDoajXYmstm/qO81Isw==}
|
||||
engines: {node: ^12.20.0 || ^14.13.1 || >=16.0.0}
|
||||
dependencies:
|
||||
indent-string: 5.0.0
|
||||
js-yaml: 3.14.1
|
||||
serialize-error: 7.0.1
|
||||
strip-ansi: 7.0.1
|
||||
dev: true
|
||||
|
||||
/supports-color/5.5.0:
|
||||
resolution: {integrity: sha512-QjVjwdXIt408MIiAqCX4oUKsgU2EqAGzs2Ppkm4aQYbjm+ZEWEcW4SfFNTr4uMNZma0ey4f5lgLrkB0aX0QMow==}
|
||||
engines: {node: '>=4'}
|
||||
|
|
@ -3032,11 +2690,6 @@ packages:
|
|||
engines: {node: '>= 0.4'}
|
||||
dev: true
|
||||
|
||||
/temp-dir/3.0.0:
|
||||
resolution: {integrity: sha512-nHc6S/bwIilKHNRgK/3jlhDoIHcp45YgyiwcAk46Tr0LfEqGBVpmiAyuiuxeVE44m3mXnEeVhaipLOEWmH+Njw==}
|
||||
engines: {node: '>=14.16'}
|
||||
dev: true
|
||||
|
||||
/thenify-all/1.6.0:
|
||||
resolution: {integrity: sha512-RNxQH/qI8/t3thXJDwcstUO4zeqo64+Uy/+sNVRBx4Xn2OX+OZ9oP+iJnNFqplFra2ZUVeKCSa2oVWi3T4uVmA==}
|
||||
engines: {node: '>=0.8'}
|
||||
|
|
@ -3054,11 +2707,6 @@ packages:
|
|||
resolution: {integrity: sha512-w89qg7PI8wAdvX60bMDP+bFoD5Dvhm9oLheFp5O4a2QF0cSBGsBX4qZmadPMvVqlLJBBci+WqGGOAPvcDeNSVg==}
|
||||
dev: true
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||||
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||||
/time-zone/1.0.0:
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||||
resolution: {integrity: sha512-TIsDdtKo6+XrPtiTm1ssmMngN1sAhyKnTO2kunQWqNPWIVvCm15Wmw4SWInwTVgJ5u/Tr04+8Ei9TNcw4x4ONA==}
|
||||
engines: {node: '>=4'}
|
||||
dev: true
|
||||
|
||||
/to-fast-properties/2.0.0:
|
||||
resolution: {integrity: sha512-/OaKK0xYrs3DmxRYqL/yDc+FxFUVYhDlXMhRmv3z915w2HF1tnN1omB354j8VUGO/hbRzyD6Y3sA7v7GS/ceog==}
|
||||
engines: {node: '>=4'}
|
||||
|
|
@ -3142,11 +2790,6 @@ packages:
|
|||
fsevents: 2.3.2
|
||||
dev: true
|
||||
|
||||
/type-fest/0.13.1:
|
||||
resolution: {integrity: sha512-34R7HTnG0XIJcBSn5XhDd7nNFPRcXYRZrBB2O2jdKqYODldSzBAqzsWoZYYvduky73toYS/ESqxPvkDf/F0XMg==}
|
||||
engines: {node: '>=10'}
|
||||
dev: true
|
||||
|
||||
/type-fest/0.21.3:
|
||||
resolution: {integrity: sha512-t0rzBq87m3fVcduHDUFhKmyyX+9eo6WQjZvf51Ea/M0Q7+T374Jp1aUiyUl0GKxp8M/OETVHSDvmkyPgvX+X2w==}
|
||||
engines: {node: '>=10'}
|
||||
|
|
@ -3256,11 +2899,6 @@ packages:
|
|||
resolution: {integrity: sha512-YQ+BmxuTgd6UXZW3+ICGfyqRyHXVlD5GtQr5+qjiNW7bF0cqrzX500HVXPBOvgXb5YnzDd+h0zqyv61KUD7+Sg==}
|
||||
dev: true
|
||||
|
||||
/well-known-symbols/2.0.0:
|
||||
resolution: {integrity: sha512-ZMjC3ho+KXo0BfJb7JgtQ5IBuvnShdlACNkKkdsqBmYw3bPAaJfPeYUo6tLUaT5tG/Gkh7xkpBhKRQ9e7pyg9Q==}
|
||||
engines: {node: '>=6'}
|
||||
dev: true
|
||||
|
||||
/whatwg-url/7.1.0:
|
||||
resolution: {integrity: sha512-WUu7Rg1DroM7oQvGWfOiAK21n74Gg+T4elXEQYkOhtyLeWiJFoOGLXPKI/9gzIie9CtwVLm8wtw6YJdKyxSjeg==}
|
||||
dependencies:
|
||||
|
|
@ -3332,19 +2970,6 @@ packages:
|
|||
resolution: {integrity: sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==}
|
||||
dev: true
|
||||
|
||||
/write-file-atomic/5.0.0:
|
||||
resolution: {integrity: sha512-R7NYMnHSlV42K54lwY9lvW6MnSm1HSJqZL3xiSgi9E7//FYaI74r2G0rd+/X6VAMkHEdzxQaU5HUOXWUz5kA/w==}
|
||||
engines: {node: ^14.17.0 || ^16.13.0 || >=18.0.0}
|
||||
dependencies:
|
||||
imurmurhash: 0.1.4
|
||||
signal-exit: 3.0.7
|
||||
dev: true
|
||||
|
||||
/y18n/5.0.8:
|
||||
resolution: {integrity: sha512-0pfFzegeDWJHJIAmTLRP2DwHjdF5s7jo9tuztdQxAhINCdvS+3nGINqPd00AphqJR/0LhANUS6/+7SCb98YOfA==}
|
||||
engines: {node: '>=10'}
|
||||
dev: true
|
||||
|
||||
/yallist/3.1.1:
|
||||
resolution: {integrity: sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g==}
|
||||
dev: true
|
||||
|
|
@ -3368,30 +2993,7 @@ packages:
|
|||
engines: {node: '>=10'}
|
||||
dev: true
|
||||
|
||||
/yargs-parser/21.1.1:
|
||||
resolution: {integrity: sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==}
|
||||
engines: {node: '>=12'}
|
||||
dev: true
|
||||
|
||||
/yargs/17.6.2:
|
||||
resolution: {integrity: sha512-1/9UrdHjDZc0eOU0HxOHoS78C69UD3JRMvzlJ7S79S2nTaWRA/whGCTV8o9e/N/1Va9YIV7Q4sOxD8VV4pCWOw==}
|
||||
engines: {node: '>=12'}
|
||||
dependencies:
|
||||
cliui: 8.0.1
|
||||
escalade: 3.1.1
|
||||
get-caller-file: 2.0.5
|
||||
require-directory: 2.1.1
|
||||
string-width: 4.2.3
|
||||
y18n: 5.0.8
|
||||
yargs-parser: 21.1.1
|
||||
dev: true
|
||||
|
||||
/yocto-queue/0.1.0:
|
||||
resolution: {integrity: sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==}
|
||||
engines: {node: '>=10'}
|
||||
dev: true
|
||||
|
||||
/yocto-queue/1.0.0:
|
||||
resolution: {integrity: sha512-9bnSc/HEW2uRy67wc+T8UwauLuPJVn28jb+GtJY16iiKWyvmYJRXVT4UamsAEGQfPohgr2q4Tq0sQbQlxTfi1g==}
|
||||
engines: {node: '>=12.20'}
|
||||
dev: true
|
||||
|
|
|
|||
|
|
@ -1,131 +0,0 @@
|
|||
import test from 'ava'
|
||||
import dotenv from 'dotenv-safe'
|
||||
|
||||
import * as types from './types'
|
||||
import { ChatGPTAPI } from './chatgpt-api'
|
||||
|
||||
dotenv.config()
|
||||
|
||||
const isCI = !!process.env.CI
|
||||
|
||||
test('ChatGPTAPI invalid session token', async (t) => {
|
||||
t.timeout(30 * 1000) // 30 seconds
|
||||
|
||||
t.throws(() => new ChatGPTAPI({ sessionToken: null, clearanceToken: null }), {
|
||||
message: 'ChatGPT invalid session token'
|
||||
})
|
||||
|
||||
await t.throwsAsync(
|
||||
async () => {
|
||||
const chatgpt = new ChatGPTAPI({
|
||||
sessionToken: 'invalid',
|
||||
clearanceToken: 'invalid'
|
||||
})
|
||||
await chatgpt.initSession()
|
||||
},
|
||||
{
|
||||
instanceOf: types.ChatGPTError,
|
||||
message: 'ChatGPT failed to refresh auth token. Error: Unauthorized'
|
||||
}
|
||||
)
|
||||
})
|
||||
|
||||
test('ChatGPTAPI valid session token', async (t) => {
|
||||
if (!isCI) {
|
||||
t.timeout(2 * 60 * 1000) // 2 minutes
|
||||
}
|
||||
|
||||
t.notThrows(
|
||||
() =>
|
||||
new ChatGPTAPI({
|
||||
sessionToken: 'fake valid session token',
|
||||
clearanceToken: 'invalid'
|
||||
})
|
||||
)
|
||||
|
||||
await t.notThrowsAsync(
|
||||
(async () => {
|
||||
const chatgpt = new ChatGPTAPI({
|
||||
sessionToken: process.env.SESSION_TOKEN,
|
||||
clearanceToken: process.env.CLEARANCE_TOKEN
|
||||
})
|
||||
|
||||
// Don't make any real API calls using our session token if we're running on CI
|
||||
if (!isCI) {
|
||||
await chatgpt.initSession()
|
||||
const response = await chatgpt.sendMessage('test')
|
||||
console.log('chatgpt response', response)
|
||||
|
||||
t.truthy(response)
|
||||
t.is(typeof response, 'string')
|
||||
}
|
||||
})()
|
||||
)
|
||||
})
|
||||
|
||||
if (!isCI) {
|
||||
test('ChatGPTAPI expired session token', async (t) => {
|
||||
t.timeout(30 * 1000) // 30 seconds
|
||||
const expiredSessionToken = process.env.TEST_EXPIRED_SESSION_TOKEN
|
||||
|
||||
await t.throwsAsync(
|
||||
async () => {
|
||||
const chatgpt = new ChatGPTAPI({
|
||||
sessionToken: expiredSessionToken,
|
||||
clearanceToken: 'invalid'
|
||||
})
|
||||
await chatgpt.initSession()
|
||||
},
|
||||
{
|
||||
instanceOf: types.ChatGPTError,
|
||||
message:
|
||||
'ChatGPT failed to refresh auth token. Error: session token may have expired'
|
||||
}
|
||||
)
|
||||
})
|
||||
}
|
||||
|
||||
if (!isCI) {
|
||||
test('ChatGPTAPI timeout', async (t) => {
|
||||
t.timeout(30 * 1000) // 30 seconds
|
||||
|
||||
await t.throwsAsync(
|
||||
async () => {
|
||||
const chatgpt = new ChatGPTAPI({
|
||||
sessionToken: process.env.SESSION_TOKEN,
|
||||
clearanceToken: process.env.CLEARANCE_TOKEN
|
||||
})
|
||||
|
||||
await chatgpt.sendMessage('test', {
|
||||
timeoutMs: 1
|
||||
})
|
||||
},
|
||||
{
|
||||
message: 'ChatGPT timed out waiting for response'
|
||||
}
|
||||
)
|
||||
})
|
||||
|
||||
test('ChatGPTAPI abort', async (t) => {
|
||||
t.timeout(30 * 1000) // 30 seconds
|
||||
|
||||
await t.throwsAsync(
|
||||
async () => {
|
||||
const chatgpt = new ChatGPTAPI({
|
||||
sessionToken: process.env.SESSION_TOKEN,
|
||||
clearanceToken: process.env.CLEARANCE_TOKEN
|
||||
})
|
||||
|
||||
const abortController = new AbortController()
|
||||
setTimeout(() => abortController.abort(new Error('testing abort')), 10)
|
||||
|
||||
await chatgpt.sendMessage('test', {
|
||||
abortSignal: abortController.signal
|
||||
})
|
||||
},
|
||||
{
|
||||
message: 'testing abort'
|
||||
}
|
||||
)
|
||||
})
|
||||
}
|
||||
|
|
@ -1,4 +1,5 @@
|
|||
import { encode as gptEncode } from 'gpt-3-encoder'
|
||||
import Keyv from 'keyv'
|
||||
import pTimeout from 'p-timeout'
|
||||
import QuickLRU from 'quick-lru'
|
||||
import { v4 as uuidv4 } from 'uuid'
|
||||
|
|
@ -7,26 +8,30 @@ import * as types from './types'
|
|||
import { fetch } from './fetch'
|
||||
import { fetchSSE } from './fetch-sse'
|
||||
|
||||
// NOTE: this is not a public model, but it was leaked by the ChatGPT webapp.
|
||||
const CHATGPT_MODEL = 'text-chat-davinci-002-20230126'
|
||||
|
||||
const USER_LABEL = 'User'
|
||||
const ASSISTANT_LABEL = 'ChatGPT'
|
||||
|
||||
export class ChatGPTAPI {
|
||||
protected _apiKey: string
|
||||
protected _apiBaseUrl: string
|
||||
protected _model: string
|
||||
protected _temperature: number
|
||||
protected _presencePenalty: number
|
||||
protected _stop: string[]
|
||||
protected _completionParams: types.openai.CompletionParams
|
||||
protected _debug: boolean
|
||||
|
||||
protected _getMessageById: types.GetMessageByIdFunction
|
||||
protected _messageCache: QuickLRU<string, types.ChatMessage>
|
||||
protected _upsertMessage: types.UpsertMessageFunction
|
||||
|
||||
protected _messageStore: Keyv<types.ChatMessage>
|
||||
|
||||
/**
|
||||
* Creates a new client wrapper around OpenAI's completion API using the
|
||||
* unofficial ChatGPT model.
|
||||
*
|
||||
* @param debug - Optional enables logging debugging into to stdout
|
||||
* @param apiKey - OpenAI API key (required).
|
||||
* @param debug - Optional enables logging debugging info to stdout.
|
||||
* @param stop - Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.
|
||||
*/
|
||||
constructor(opts: {
|
||||
apiKey: string
|
||||
|
|
@ -34,44 +39,48 @@ export class ChatGPTAPI {
|
|||
/** @defaultValue `'https://api.openai.com'` **/
|
||||
apiBaseUrl?: string
|
||||
|
||||
/** @defaultValue `'text-chat-davinci-002-20230126'` **/
|
||||
model?: string
|
||||
|
||||
/** @defaultValue 0.7 **/
|
||||
temperature?: number
|
||||
|
||||
/** @defaultValue 0.6 **/
|
||||
presencePenalty?: number
|
||||
|
||||
stop?: string[]
|
||||
completionParams?: types.openai.CompletionParams
|
||||
|
||||
/** @defaultValue `false` **/
|
||||
debug?: boolean
|
||||
|
||||
messageStore?: Keyv
|
||||
|
||||
getMessageById?: types.GetMessageByIdFunction
|
||||
upsertMessage?: types.UpsertMessageFunction
|
||||
}) {
|
||||
const {
|
||||
apiKey,
|
||||
apiBaseUrl = 'https://api.openai.com',
|
||||
model = CHATGPT_MODEL,
|
||||
temperature = 0.7,
|
||||
presencePenalty = 0.6,
|
||||
stop = ['<|im_end|>'],
|
||||
debug = false,
|
||||
getMessageById = this._defaultGetMessageById
|
||||
messageStore,
|
||||
getMessageById = this._defaultGetMessageById,
|
||||
upsertMessage = this._defaultUpsertMessage,
|
||||
completionParams
|
||||
} = opts
|
||||
|
||||
this._apiKey = apiKey
|
||||
this._apiBaseUrl = apiBaseUrl
|
||||
this._model = model
|
||||
this._temperature = temperature
|
||||
this._presencePenalty = presencePenalty
|
||||
this._stop = stop
|
||||
this._debug = !!debug
|
||||
this._getMessageById = getMessageById
|
||||
|
||||
// override `getMessageById` if you want persistence
|
||||
this._messageCache = new QuickLRU({ maxSize: 10000 })
|
||||
this._completionParams = {
|
||||
model: CHATGPT_MODEL,
|
||||
temperature: 0.7,
|
||||
presence_penalty: 0.6,
|
||||
stop: ['<|im_end|>'],
|
||||
...completionParams
|
||||
}
|
||||
|
||||
this._getMessageById = getMessageById
|
||||
this._upsertMessage = upsertMessage
|
||||
|
||||
if (messageStore) {
|
||||
this._messageStore = messageStore
|
||||
} else {
|
||||
this._messageStore = new Keyv<types.ChatMessage, any>({
|
||||
store: new QuickLRU<string, types.ChatMessage>({ maxSize: 10000 })
|
||||
})
|
||||
}
|
||||
|
||||
if (!this._apiKey) {
|
||||
throw new Error('ChatGPT invalid apiKey')
|
||||
|
|
@ -91,7 +100,6 @@ export class ChatGPTAPI {
|
|||
* @param opts.conversationId - Optional ID of a conversation to continue
|
||||
* @param opts.parentMessageId - Optional ID of the previous message in the conversation
|
||||
* @param opts.messageId - Optional ID of the message to send (defaults to a random UUID)
|
||||
* @param opts.action - Optional ChatGPT `action` (either `next` or `variant`)
|
||||
* @param opts.timeoutMs - Optional timeout in milliseconds (defaults to no timeout)
|
||||
* @param opts.onProgress - Optional callback which will be invoked every time the partial response is updated
|
||||
* @param opts.abortSignal - Optional callback used to abort the underlying `fetch` call using an [AbortController](https://developer.mozilla.org/en-US/docs/Web/API/AbortController)
|
||||
|
|
@ -119,15 +127,15 @@ export class ChatGPTAPI {
|
|||
abortSignal = abortController.signal
|
||||
}
|
||||
|
||||
const input: types.ChatMessage = {
|
||||
const message: types.ChatMessage = {
|
||||
role: 'user',
|
||||
id: messageId,
|
||||
parentMessageId,
|
||||
conversationId,
|
||||
text
|
||||
}
|
||||
await this._upsertMessage(message)
|
||||
|
||||
this._messageCache.set(input.id, input)
|
||||
const { prompt, maxTokens } = await this._buildPrompt(text, opts)
|
||||
|
||||
const result: types.ChatMessage = {
|
||||
|
|
@ -146,13 +154,10 @@ export class ChatGPTAPI {
|
|||
Authorization: `Bearer ${this._apiKey}`
|
||||
}
|
||||
const body = {
|
||||
max_tokens: maxTokens,
|
||||
...this._completionParams,
|
||||
prompt,
|
||||
stream,
|
||||
model: this._model,
|
||||
temperature: this._temperature,
|
||||
presence_penalty: this._presencePenalty,
|
||||
stop: this._stop,
|
||||
max_tokens: maxTokens
|
||||
stream
|
||||
}
|
||||
|
||||
if (this._debug) {
|
||||
|
|
@ -173,7 +178,8 @@ export class ChatGPTAPI {
|
|||
}
|
||||
|
||||
try {
|
||||
const response = JSON.parse(data)
|
||||
const response: types.openai.CompletionResponse =
|
||||
JSON.parse(data)
|
||||
|
||||
if (response?.id && response?.choices?.length) {
|
||||
result.id = response.id
|
||||
|
|
@ -207,7 +213,7 @@ export class ChatGPTAPI {
|
|||
return reject(error)
|
||||
}
|
||||
|
||||
const response = await res.json()
|
||||
const response: types.openai.CompletionResponse = await res.json()
|
||||
if (this._debug) {
|
||||
console.log(response)
|
||||
}
|
||||
|
|
@ -221,10 +227,8 @@ export class ChatGPTAPI {
|
|||
}
|
||||
}
|
||||
}
|
||||
)
|
||||
|
||||
responseP.then((message) => {
|
||||
this._messageCache.set(message.id, message)
|
||||
).then((message) => {
|
||||
return this._upsertMessage(message).then(() => message)
|
||||
})
|
||||
|
||||
if (timeoutMs) {
|
||||
|
|
@ -266,7 +270,7 @@ Current date: ${currentDate}\n\n`
|
|||
|
||||
const maxNumTokens = 3097
|
||||
let { parentMessageId } = opts
|
||||
let nextPromptBody = `${USER_LABEL}:\n\n${message}`
|
||||
let nextPromptBody = `${USER_LABEL}:\n\n${message}<|im_end|>`
|
||||
let promptBody = ''
|
||||
let prompt: string
|
||||
let numTokens: number
|
||||
|
|
@ -315,7 +319,7 @@ Current date: ${currentDate}\n\n`
|
|||
}
|
||||
|
||||
protected async _getTokenCount(text: string) {
|
||||
if (this._model === CHATGPT_MODEL) {
|
||||
if (this._completionParams.model === CHATGPT_MODEL) {
|
||||
// With this model, "<|im_end|>" is 1 token, but tokenizers aren't aware of it yet.
|
||||
// Replace it with "<|endoftext|>" (which it does know about) so that the tokenizer can count it as 1 token.
|
||||
text = text.replace(/<\|im_end\|>/g, '<|endoftext|>')
|
||||
|
|
@ -327,6 +331,12 @@ Current date: ${currentDate}\n\n`
|
|||
protected async _defaultGetMessageById(
|
||||
id: string
|
||||
): Promise<types.ChatMessage> {
|
||||
return this._messageCache.get(id)
|
||||
return this._messageStore.get(id)
|
||||
}
|
||||
|
||||
protected async _defaultUpsertMessage(
|
||||
message: types.ChatMessage
|
||||
): Promise<void> {
|
||||
this._messageStore.set(message.id, message)
|
||||
}
|
||||
}
|
||||
|
|
|
|||
120
src/types.ts
120
src/types.ts
|
|
@ -16,14 +16,128 @@ export interface ChatMessage {
|
|||
id: string
|
||||
text: string
|
||||
role: Role
|
||||
|
||||
parentMessageId?: string
|
||||
conversationId?: string
|
||||
}
|
||||
|
||||
export type GetMessageByIdFunction = (id: string) => Promise<ChatMessage>
|
||||
|
||||
export class ChatGPTError extends Error {
|
||||
statusCode?: number
|
||||
statusText?: string
|
||||
}
|
||||
|
||||
/** Returns a chat message from a store by it's ID (or null if not found). */
|
||||
export type GetMessageByIdFunction = (id: string) => Promise<ChatMessage>
|
||||
|
||||
/** Upserts a chat message to a store. */
|
||||
export type UpsertMessageFunction = (message: ChatMessage) => Promise<void>
|
||||
|
||||
export namespace openai {
|
||||
export type CompletionParams = {
|
||||
/** ID of the model to use. */
|
||||
model: string
|
||||
|
||||
/** The string prompt to generate a completion for. */
|
||||
prompt: string
|
||||
|
||||
/**
|
||||
* The suffix that comes after a completion of inserted text.
|
||||
*/
|
||||
suffix?: string
|
||||
|
||||
/**
|
||||
* The maximum number of tokens to generate in the completion. The token count of your prompt plus `max_tokens` cannot exceed the model\'s context length. Most models have a context length of 2048 tokens (except for the newest models, which support 4096).
|
||||
*/
|
||||
max_tokens?: number
|
||||
|
||||
/**
|
||||
* What [sampling temperature](https://towardsdatascience.com/how-to-sample-from-language-models-682bceb97277) to use. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer. We generally recommend altering this or `top_p` but not both.
|
||||
*/
|
||||
temperature?: number
|
||||
|
||||
/**
|
||||
* An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or `temperature` but not both.
|
||||
*/
|
||||
top_p?: number
|
||||
|
||||
/**
|
||||
* Include the log probabilities on the `logprobs` most likely tokens, as well the chosen tokens. For example, if `logprobs` is 5, the API will return a list of the 5 most likely tokens. The API will always return the `logprob` of the sampled token, so there may be up to `logprobs+1` elements in the response. The maximum value for `logprobs` is 5. If you need more than this, please contact us through our [Help center](https://help.openai.com) and describe your use case.
|
||||
*/
|
||||
logprobs?: number
|
||||
|
||||
/**
|
||||
* Echo back the prompt in addition to the completion
|
||||
*/
|
||||
echo?: boolean
|
||||
|
||||
/**
|
||||
* Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.
|
||||
*/
|
||||
stop?: string[]
|
||||
|
||||
/**
|
||||
* Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model\'s likelihood to talk about new topics. [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details)
|
||||
*/
|
||||
presence_penalty?: number
|
||||
|
||||
/**
|
||||
* Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model\'s likelihood to repeat the same line verbatim. [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details)
|
||||
*/
|
||||
frequency_penalty?: number
|
||||
|
||||
/**
|
||||
* Generates `best_of` completions server-side and returns the \"best\" (the one with the highest log probability per token). Results cannot be streamed. When used with `n`, `best_of` controls the number of candidate completions and `n` specifies how many to return – `best_of` must be greater than `n`. **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`.
|
||||
*/
|
||||
best_of?: number
|
||||
|
||||
/**
|
||||
* Modify the likelihood of specified tokens appearing in the completion. Accepts a json object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. As an example, you can pass `{\"50256\": -100}` to prevent the <|endoftext|> token from being generated.
|
||||
*/
|
||||
logit_bias?: Record<string, number>
|
||||
|
||||
/**
|
||||
* A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids).
|
||||
*/
|
||||
user?: string
|
||||
|
||||
/* NOTE: this is handled by the `sendMessage` function.
|
||||
*
|
||||
* Whether to stream back partial progress. If set, tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a `data: [DONE]` message.
|
||||
*/
|
||||
// stream?: boolean | null
|
||||
|
||||
/**
|
||||
* NOT SUPPORTED
|
||||
*/
|
||||
/**
|
||||
* How many completions to generate for each prompt. **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`.
|
||||
*/
|
||||
// 'n'?: number | null;
|
||||
}
|
||||
|
||||
export type CompletionResponse = {
|
||||
id: string
|
||||
object: string
|
||||
created: number
|
||||
model: string
|
||||
choices: CompletionResponseChoices
|
||||
usage?: CompletionResponseUsage
|
||||
}
|
||||
|
||||
export type CompletionResponseChoices = {
|
||||
text?: string
|
||||
index?: number
|
||||
logprobs?: {
|
||||
tokens?: Array<string>
|
||||
token_logprobs?: Array<number>
|
||||
top_logprobs?: Array<object>
|
||||
text_offset?: Array<number>
|
||||
} | null
|
||||
finish_reason?: string
|
||||
}[]
|
||||
|
||||
export type CompletionResponseUsage = {
|
||||
prompt_tokens: number
|
||||
completion_tokens: number
|
||||
total_tokens: number
|
||||
}
|
||||
}
|
||||
|
|
|
|||
Ładowanie…
Reference in New Issue