kopia lustrzana https://github.com/transitive-bullshit/chatgpt-api
feat: refactoring
Travis Fischer
rodzic
8b3ebb4515
commit
9e68e1a1ee
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@ -2,7 +2,7 @@ import dotenv from 'dotenv-safe'
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import { OpenAIClient } from 'openai-fetch'
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import { z } from 'zod'
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import { Agentic } from './../src/llm'
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import { Agentic } from '../src'
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dotenv.config()
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@ -11,46 +11,48 @@ async function main() {
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const ai = new Agentic({ openai })
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const out = await ai
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.gpt4(`I need random facts about {{topic}}`)
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.gpt4(`Give me random facts about {{topic}}`)
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.output(z.array(z.string()))
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.input(z.object({ topic: z.string() }))
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.modelParams({ temperature: 0.9 })
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.call({ topic: 'cats' })
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console.log(out)
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/*
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Example output:
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[
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'The scientific name for the domestic cat is Felis catus.',
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'Cats spend 70% of their lives sleeping.',
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'A group of cats is called a clowder.',
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'Cats have over 100 different vocal sounds.',
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'A cat’s nose pad is ridged with a unique pattern, just like a human fingerprint.',
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'Cats can jump up to six times their length.',
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'Cats can make over 20 different sounds.',
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'Cats have five toes on each front paw, but only four toes on each back paw.',
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'A cat’s whiskers are highly sensitive and can detect changes in air currents.',
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'Cats have a flexible spine and can rotate their ears 180 degrees.',
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'Cats can run up to 30 miles per hour.',
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'Cats are believed to be the only mammals who don’t taste sweetness.',
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'Cats have excellent night vision and can see at one-sixth the light level required for human vision.',
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'Cats can’t see directly under their nose.',
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'Cats can make more than 100 different sounds.',
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'A cat can travel at a top speed of approximately 31 mph (49 km) over a short distance.',
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'Cats are capable of walking very precisely. When they take a step, they place their back paw almost exactly in the same place as their front paw was – this is called ‘direct registering’.',
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'A cat’s hearing is much more sensitive than humans and dogs.',
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'Cats have been domesticated for around 4,000 years.',
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'Cats use their tails to maintain balance and communicate their mood.',
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'A cat’s brain is biologically more similar to a human brain than it is to a dog’s.',
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'Cats conserve energy by sleeping for an average of 13 to 14 hours a day.',
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'A cat has a total of 24 whiskers – 4 first-order, 8 second-order, and 12 third-order.',
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'Cats can pick up on changes in the weather, which can indicate to them that a storm is coming.',
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'Cats have an acute sense of hearing and can detect an ultra-sonic range of sounds up to two octaves higher than humans.',
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'Cats can learn to manipulate humans with their meows.',
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'Cats have 32 muscles in each ear.',
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'The average lifespan of an indoor cat is 13 to 17 years.',
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'Cats are one of the most popular pets in the world, and there are more than 500 million domestic cats in existence.'
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]
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*/
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Example output:
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[
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'The scientific name for the domestic cat is Felis catus.',
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'Cats spend 70% of their lives sleeping.',
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'A group of cats is called a clowder.',
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'Cats have over 100 different vocal sounds.',
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'A cat’s nose pad is ridged with a unique pattern, just like a human fingerprint.',
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'Cats can jump up to six times their length.',
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'Cats can make over 20 different sounds.',
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'Cats have five toes on each front paw, but only four toes on each back paw.',
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'A cat’s whiskers are highly sensitive and can detect changes in air currents.',
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'Cats have a flexible spine and can rotate their ears 180 degrees.',
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'Cats can run up to 30 miles per hour.',
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'Cats are believed to be the only mammals who don’t taste sweetness.',
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'Cats have excellent night vision and can see at one-sixth the light level required for human vision.',
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'Cats can’t see directly under their nose.',
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'Cats can make more than 100 different sounds.',
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'A cat can travel at a top speed of approximately 31 mph (49 km) over a short distance.',
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'Cats are capable of walking very precisely. When they take a step, they place their back paw almost exactly in the same place as their front paw was – this is called ‘direct registering’.',
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'A cat’s hearing is much more sensitive than humans and dogs.',
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'Cats have been domesticated for around 4,000 years.',
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'Cats use their tails to maintain balance and communicate their mood.',
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'A cat’s brain is biologically more similar to a human brain than it is to a dog’s.',
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'Cats conserve energy by sleeping for an average of 13 to 14 hours a day.',
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'A cat has a total of 24 whiskers – 4 first-order, 8 second-order, and 12 third-order.',
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'Cats can pick up on changes in the weather, which can indicate to them that a storm is coming.',
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'Cats have an acute sense of hearing and can detect an ultra-sonic range of sounds up to two octaves higher than humans.',
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'Cats can learn to manipulate humans with their meows.',
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'Cats have 32 muscles in each ear.',
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'The average lifespan of an indoor cat is 13 to 17 years.',
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'Cats are one of the most popular pets in the world, and there are more than 500 million domestic cats in existence.'
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]
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*/
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}
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main()
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@ -1,13 +1,18 @@
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import dotenv from 'dotenv-safe'
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import { OpenAIClient } from 'openai-fetch'
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import { z } from 'zod'
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async function main() {
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const $ = {} as any
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import { Agentic } from '../src'
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// work with a single input or an array of inputs using p-map under the hood
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dotenv.config()
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async function main() {
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const openai = new OpenAIClient({ apiKey: process.env.OPENAI_API_KEY! })
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const $ = new Agentic({ openai })
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const ex0 = await $.gpt4(`give me a single boolean value: `)
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.output(z.boolean())
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.retry({ attempts: 3 })
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// .retry({ attempts: 3 })
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.call()
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// LLM
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@ -17,7 +22,8 @@ async function main() {
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const ex1 = await $.gpt4('give me a list of character names from star wars')
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.output(z.array(z.string().nonempty()))
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.stream()
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// .stream()
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.call()
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const ex2 = await $.gpt4(`Summarize the following text: {{text}}`)
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.output(z.string().nonempty())
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@ -26,11 +32,11 @@ async function main() {
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text: 'The quick brown fox jumps over the lazy dog.'
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})
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const ext22 = await $.gpt4({ temperature: 0 }).call({
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messages: [
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// TEST
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]
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})
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// const ext22 = await $.gpt4({ temperature: 0 }).call({
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// messages: [
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// // TEST
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// ]
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// })
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const ex3 = await $.gpt4({
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temperature: 0,
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@ -75,3 +81,5 @@ async function main() {
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.output(z.string().nonempty())
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.call()
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}
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main()
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@ -0,0 +1,37 @@
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import dotenv from 'dotenv-safe'
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import { OpenAIClient } from 'openai-fetch'
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import { z } from 'zod'
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import { Agentic } from '../src'
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dotenv.config()
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async function main() {
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const openai = new OpenAIClient({ apiKey: process.env.OPENAI_API_KEY! })
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const $ = new Agentic({ openai })
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// const ex0 = await $.gpt4(`give me a single boolean value`)
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// .output(z.boolean())
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// // .retry({ attempts: 3 })
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// .call()
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// console.log(ex0)
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// const ex1 = await $.gpt4(`give me fake data`)
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// .output(z.object({ foo: z.string(), bar: z.number() }))
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// // .output(z.string())
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// // .retry({ attempts: 3 })
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// .call()
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// console.log(ex1)
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const getBoolean = $.gpt4(`are you {{mood}}?`)
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.input(z.object({ mood: z.string() }))
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.output(z.boolean())
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const results = await Promise.all([
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getBoolean.call({ mood: 'happy' }),
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getBoolean.call({ mood: 'sad' })
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])
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console.log(results)
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}
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main()
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11
package.json
11
package.json
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@ -20,6 +20,7 @@
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"pre-commit": "lint-staged",
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"pretest": "run-s build",
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"test": "run-p test:*",
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"test:unit": "ava",
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"test:prettier": "prettier '**/*.{js,jsx,ts,tsx}' --check"
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},
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"dependencies": {
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@ -29,7 +30,6 @@
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"mustache": "^4.2.0",
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"openai-fetch": "^1.2.1",
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"p-map": "^6.0.0",
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"parse-json": "^7.0.0",
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"ts-dedent": "^2.2.0",
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"type-fest": "^3.10.0",
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"zod": "^3.21.4",
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@ -40,6 +40,7 @@
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"@trivago/prettier-plugin-sort-imports": "^4.1.1",
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"@types/mustache": "^4.2.2",
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"@types/node": "^20.2.0",
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"ava": "^5.3.0",
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"del-cli": "^5.0.0",
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"husky": "^8.0.3",
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"lint-staged": "^13.2.2",
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@ -54,6 +55,14 @@
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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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"ai",
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"agent",
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527
pnpm-lock.yaml
527
pnpm-lock.yaml
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@ -19,9 +19,6 @@ dependencies:
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p-map:
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specifier: ^6.0.0
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version: 6.0.0
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parse-json:
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specifier: ^7.0.0
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version: 7.0.0(typescript@5.0.4)
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ts-dedent:
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specifier: ^2.2.0
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version: 2.2.0
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@ -48,6 +45,9 @@ devDependencies:
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'@types/node':
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specifier: ^20.2.0
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version: 20.2.0
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ava:
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specifier: ^5.3.0
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version: 5.3.0
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del-cli:
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specifier: ^5.0.0
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version: 5.0.0
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@ -80,6 +80,7 @@ packages:
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engines: {node: '>=6.9.0'}
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dependencies:
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'@babel/highlight': 7.18.6
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dev: true
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/@babel/generator@7.17.7:
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resolution: {integrity: sha512-oLcVCTeIFadUoArDTwpluncplrYBmTCCZZgXCbgNGvOBBiSDDK3eWO4b/+eOTli5tKv1lg+a5/NAXg+nTcei1w==}
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|
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@ -125,6 +126,7 @@ packages:
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/@babel/helper-validator-identifier@7.19.1:
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resolution: {integrity: sha512-awrNfaMtnHUr653GgGEs++LlAvW6w+DcPrOliSMXWCKo597CwL5Acf/wWdNkf/tfEQE3mjkeD1YOVZOUV/od1w==}
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engines: {node: '>=6.9.0'}
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dev: true
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|
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/@babel/highlight@7.18.6:
|
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resolution: {integrity: sha512-u7stbOuYjaPezCuLj29hNW1v64M2Md2qupEKP1fHc7WdOA3DgLh37suiSrZYY7haUB7iBeQZ9P1uiRF359do3g==}
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@ -133,6 +135,7 @@ packages:
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'@babel/helper-validator-identifier': 7.19.1
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chalk: 2.4.2
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js-tokens: 4.0.0
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dev: true
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|
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/@babel/parser@7.21.8:
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resolution: {integrity: sha512-6zavDGdzG3gUqAdWvlLFfk+36RilI+Pwyuuh7HItyeScCWP3k6i8vKclAQ0bM/0y/Kz/xiwvxhMv9MgTJP5gmA==}
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|
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@ -500,6 +503,17 @@ packages:
|
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resolution: {integrity: sha512-Gj7cI7z+98M282Tqmp2K5EIsoouUEzbBJhQQzDE3jSIRk6r9gsz0oUokqIUR4u1R3dMHo0pDHM7sNOHyhulypw==}
|
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dev: true
|
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|
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/acorn-walk@8.2.0:
|
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resolution: {integrity: sha512-k+iyHEuPgSw6SbuDpGQM+06HQUa04DZ3o+F6CSzXMvvI5KMvnaEqXe+YVe555R9nn6GPt404fos4wcgpw12SDA==}
|
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engines: {node: '>=0.4.0'}
|
||||
dev: true
|
||||
|
||||
/acorn@8.8.2:
|
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resolution: {integrity: sha512-xjIYgE8HBrkpd/sJqOGNspf8uHG+NOHGOw6a/Urj8taM2EXfdNAH2oFcPeIFfsv3+kz/mJrS5VuMqbNLjCa2vw==}
|
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engines: {node: '>=0.4.0'}
|
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hasBin: true
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dev: true
|
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|
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/aggregate-error@3.1.0:
|
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resolution: {integrity: sha512-4I7Td01quW/RpocfNayFdFVk1qSuoh0E7JrbRJ16nH01HhKFQ88INq9Sd+nd72zqRySlr9BmDA8xlEJ6vJMrYA==}
|
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engines: {node: '>=8'}
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|
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@ -538,6 +552,7 @@ packages:
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engines: {node: '>=4'}
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dependencies:
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color-convert: 1.9.3
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dev: true
|
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|
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/ansi-styles@4.3.0:
|
||||
resolution: {integrity: sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==}
|
||||
|
|
@ -563,6 +578,12 @@ packages:
|
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picomatch: 2.3.1
|
||||
dev: true
|
||||
|
||||
/argparse@1.0.10:
|
||||
resolution: {integrity: sha512-o5Roy6tNG4SL/FOkCAN6RzjiakZS25RLYFrcMttJqbdd8BWrnA+fGz57iN5Pb06pvBGvl5gQ0B48dJlslXvoTg==}
|
||||
dependencies:
|
||||
sprintf-js: 1.0.3
|
||||
dev: true
|
||||
|
||||
/array-buffer-byte-length@1.0.0:
|
||||
resolution: {integrity: sha512-LPuwb2P+NrQw3XhxGc36+XSvuBPopovXYTR9Ew++Du9Yb/bx5AzBfrIsBoj0EZUifjQU+sHL21sseZ3jerWO/A==}
|
||||
dependencies:
|
||||
|
|
@ -570,21 +591,93 @@ packages:
|
|||
is-array-buffer: 3.0.2
|
||||
dev: true
|
||||
|
||||
/array-find-index@1.0.2:
|
||||
resolution: {integrity: sha512-M1HQyIXcBGtVywBt8WVdim+lrNaK7VHp99Qt5pSNziXznKHViIBbXWtfRTpEFpF/c4FdfxNAsCCwPp5phBYJtw==}
|
||||
engines: {node: '>=0.10.0'}
|
||||
dev: true
|
||||
|
||||
/array-union@2.1.0:
|
||||
resolution: {integrity: sha512-HGyxoOTYUyCM6stUe6EJgnd4EoewAI7zMdfqO+kGjnlZmBDz/cR5pf8r/cR4Wq60sL/p0IkcjUEEPwS3GFrIyw==}
|
||||
engines: {node: '>=8'}
|
||||
dev: true
|
||||
|
||||
/arrgv@1.0.2:
|
||||
resolution: {integrity: sha512-a4eg4yhp7mmruZDQFqVMlxNRFGi/i1r87pt8SDHy0/I8PqSXoUTlWZRdAZo0VXgvEARcujbtTk8kiZRi1uDGRw==}
|
||||
engines: {node: '>=8.0.0'}
|
||||
dev: true
|
||||
|
||||
/arrify@1.0.1:
|
||||
resolution: {integrity: sha512-3CYzex9M9FGQjCGMGyi6/31c8GJbgb0qGyrx5HWxPd0aCwh4cB2YjMb2Xf9UuoogrMrlO9cTqnB5rI5GHZTcUA==}
|
||||
engines: {node: '>=0.10.0'}
|
||||
dev: true
|
||||
|
||||
/arrify@3.0.0:
|
||||
resolution: {integrity: sha512-tLkvA81vQG/XqE2mjDkGQHoOINtMHtysSnemrmoGe6PydDPMRbVugqyk4A6V/WDWEfm3l+0d8anA9r8cv/5Jaw==}
|
||||
engines: {node: '>=12'}
|
||||
dev: true
|
||||
|
||||
/astral-regex@2.0.0:
|
||||
resolution: {integrity: sha512-Z7tMw1ytTXt5jqMcOP+OQteU1VuNK9Y02uuJtKQ1Sv69jXQKKg5cibLwGJow8yzZP+eAc18EmLGPal0bp36rvQ==}
|
||||
engines: {node: '>=8'}
|
||||
dev: true
|
||||
|
||||
/ava@5.3.0:
|
||||
resolution: {integrity: sha512-QYvBdyygl1LGX13IuYsC4bkwVCzZeovMGbxYkD73i7DVJxNlWnFa06YgrBOTbjw2QvSKUl5fOJ92Kj5WK9hSeg==}
|
||||
engines: {node: '>=14.19 <15 || >=16.15 <17 || >=18'}
|
||||
hasBin: true
|
||||
peerDependencies:
|
||||
'@ava/typescript': '*'
|
||||
peerDependenciesMeta:
|
||||
'@ava/typescript':
|
||||
optional: true
|
||||
dependencies:
|
||||
acorn: 8.8.2
|
||||
acorn-walk: 8.2.0
|
||||
ansi-styles: 6.2.1
|
||||
arrgv: 1.0.2
|
||||
arrify: 3.0.0
|
||||
callsites: 4.0.0
|
||||
cbor: 8.1.0
|
||||
chalk: 5.2.0
|
||||
chokidar: 3.5.3
|
||||
chunkd: 2.0.1
|
||||
ci-info: 3.8.0
|
||||
ci-parallel-vars: 1.0.1
|
||||
clean-yaml-object: 0.1.0
|
||||
cli-truncate: 3.1.0
|
||||
code-excerpt: 4.0.0
|
||||
common-path-prefix: 3.0.0
|
||||
concordance: 5.0.4
|
||||
currently-unhandled: 0.4.1
|
||||
debug: 4.3.4
|
||||
emittery: 1.0.1
|
||||
figures: 5.0.0
|
||||
globby: 13.1.4
|
||||
ignore-by-default: 2.1.0
|
||||
indent-string: 5.0.0
|
||||
is-error: 2.2.2
|
||||
is-plain-object: 5.0.0
|
||||
is-promise: 4.0.0
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|
|||
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|
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||||
'@babel/code-frame': 7.21.4
|
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||||
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||||
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|
||||
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|
||||
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|
||||
- typescript
|
||||
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||||
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|
||||
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|
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load-json-file: 7.0.1
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dev: true
|
||||
|
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dependencies:
|
||||
irregular-plurals: 3.5.0
|
||||
dev: true
|
||||
|
||||
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||||
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engines: {node: '>= 10'}
|
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|
|
@ -1942,6 +2310,13 @@ packages:
|
|||
hasBin: true
|
||||
dev: true
|
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|
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dependencies:
|
||||
parse-ms: 3.0.0
|
||||
dev: true
|
||||
|
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|
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|
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dev: true
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|
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dev: true
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dev: true
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type-fest: 0.13.1
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dev: true
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escape-string-regexp: 2.0.0
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dev: true
|
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engines: {node: '>=0.6.19'}
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@ -2316,17 +2726,33 @@ packages:
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ts-interface-checker: 0.1.13
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dev: true
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|
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js-yaml: 3.14.1
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strip-ansi: 7.0.1
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engines: {node: '>=4'}
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@ -2432,6 +2863,11 @@ packages:
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fsevents: 2.3.2
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imurmurhash: 0.1.4
|
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signal-exit: 4.0.2
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dev: true
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dev: true
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|
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@ -2570,11 +3024,34 @@ packages:
|
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engines: {node: '>=10'}
|
||||
dev: true
|
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|
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/yargs-parser@21.1.1:
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cliui: 8.0.1
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escalade: 3.1.1
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get-caller-file: 2.0.5
|
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require-directory: 2.1.1
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string-width: 4.2.3
|
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y18n: 5.0.8
|
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||||
dev: true
|
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|
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engines: {node: '>=12.20'}
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dev: true
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|
||||
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peerDependencies:
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||||
|
|
|
|||
|
|
@ -0,0 +1,67 @@
|
|||
import * as types from './types'
|
||||
import { defaultOpenAIModel } from './constants'
|
||||
import { OpenAIChatModelBuilder } from './openai'
|
||||
|
||||
export class Agentic {
|
||||
_client: types.openai.OpenAIClient
|
||||
_verbosity: number
|
||||
_defaults: Pick<
|
||||
types.BaseLLMOptions,
|
||||
'provider' | 'model' | 'modelParams' | 'timeoutMs' | 'retryConfig'
|
||||
>
|
||||
|
||||
constructor(opts: {
|
||||
openai: types.openai.OpenAIClient
|
||||
verbosity?: number
|
||||
defaults?: Pick<
|
||||
types.BaseLLMOptions,
|
||||
'provider' | 'model' | 'modelParams' | 'timeoutMs' | 'retryConfig'
|
||||
>
|
||||
}) {
|
||||
this._client = opts.openai
|
||||
this._verbosity = opts.verbosity ?? 0
|
||||
this._defaults = {
|
||||
provider: 'openai',
|
||||
model: defaultOpenAIModel,
|
||||
modelParams: {},
|
||||
timeoutMs: 30000,
|
||||
retryConfig: {
|
||||
attempts: 3,
|
||||
strategy: 'heal',
|
||||
...opts.defaults?.retryConfig
|
||||
},
|
||||
...opts.defaults
|
||||
}
|
||||
}
|
||||
|
||||
gpt4(
|
||||
promptOrChatCompletionParams:
|
||||
| string
|
||||
| Omit<types.openai.ChatCompletionParams, 'model'>
|
||||
) {
|
||||
let options: Omit<types.openai.ChatCompletionParams, 'model'>
|
||||
|
||||
if (typeof promptOrChatCompletionParams === 'string') {
|
||||
options = {
|
||||
messages: [
|
||||
{
|
||||
role: 'user',
|
||||
content: promptOrChatCompletionParams
|
||||
}
|
||||
]
|
||||
}
|
||||
} else {
|
||||
options = promptOrChatCompletionParams
|
||||
|
||||
if (!options.messages) {
|
||||
throw new Error('messages must be provided')
|
||||
}
|
||||
}
|
||||
|
||||
return new OpenAIChatModelBuilder(this._client, {
|
||||
...(this._defaults as any), // TODO
|
||||
model: 'gpt-4',
|
||||
...options
|
||||
})
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1 @@
|
|||
export const defaultOpenAIModel = 'gpt-3.5-turbo'
|
||||
|
|
@ -1,2 +1,4 @@
|
|||
export * from './agentic'
|
||||
export * from './llm'
|
||||
export * from './openai'
|
||||
export * from './tokenizer'
|
||||
|
|
|
|||
208
src/llm.ts
208
src/llm.ts
|
|
@ -1,79 +1,6 @@
|
|||
import { jsonrepair } from 'jsonrepair'
|
||||
import Mustache from 'mustache'
|
||||
import { dedent } from 'ts-dedent'
|
||||
import type { SetRequired } from 'type-fest'
|
||||
import { ZodRawShape, ZodTypeAny, z } from 'zod'
|
||||
import { printNode, zodToTs } from 'zod-to-ts'
|
||||
|
||||
import * as types from './types'
|
||||
import {
|
||||
extractJSONArrayFromString,
|
||||
extractJSONObjectFromString
|
||||
} from './utils'
|
||||
|
||||
const defaultOpenAIModel = 'gpt-3.5-turbo'
|
||||
|
||||
export class Agentic {
|
||||
_client: types.openai.OpenAIClient
|
||||
_verbosity: number
|
||||
_defaults: Pick<
|
||||
types.BaseLLMOptions,
|
||||
'provider' | 'model' | 'modelParams' | 'timeoutMs' | 'retryConfig'
|
||||
>
|
||||
|
||||
constructor(opts: {
|
||||
openai: types.openai.OpenAIClient
|
||||
verbosity?: number
|
||||
defaults?: Pick<
|
||||
types.BaseLLMOptions,
|
||||
'provider' | 'model' | 'modelParams' | 'timeoutMs' | 'retryConfig'
|
||||
>
|
||||
}) {
|
||||
this._client = opts.openai
|
||||
this._verbosity = opts.verbosity ?? 0
|
||||
this._defaults = {
|
||||
provider: 'openai',
|
||||
model: defaultOpenAIModel,
|
||||
modelParams: {},
|
||||
timeoutMs: 30000,
|
||||
retryConfig: {
|
||||
attempts: 3,
|
||||
strategy: 'heal',
|
||||
...opts.defaults?.retryConfig
|
||||
},
|
||||
...opts.defaults
|
||||
}
|
||||
}
|
||||
|
||||
gpt4(
|
||||
promptOrChatCompletionParams: string | types.openai.ChatCompletionParams
|
||||
) {
|
||||
let options: Omit<types.openai.ChatCompletionParams, 'model'>
|
||||
|
||||
if (typeof promptOrChatCompletionParams === 'string') {
|
||||
options = {
|
||||
messages: [
|
||||
{
|
||||
role: 'user',
|
||||
content: promptOrChatCompletionParams
|
||||
}
|
||||
]
|
||||
}
|
||||
} else {
|
||||
options = promptOrChatCompletionParams
|
||||
|
||||
if (!options.messages) {
|
||||
throw new Error('messages must be provided')
|
||||
}
|
||||
}
|
||||
|
||||
return new OpenAIChatModelBuilder(this._client, {
|
||||
...(this._defaults as any), // TODO
|
||||
model: 'gpt-4',
|
||||
...options
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
export abstract class BaseLLMCallBuilder<
|
||||
TInput extends ZodRawShape | ZodTypeAny = ZodTypeAny,
|
||||
|
|
@ -148,138 +75,3 @@ export abstract class ChatModelBuilder<
|
|||
this._messages = options.messages
|
||||
}
|
||||
}
|
||||
|
||||
export class OpenAIChatModelBuilder<
|
||||
TInput extends ZodRawShape | ZodTypeAny = ZodTypeAny,
|
||||
TOutput extends ZodRawShape | ZodTypeAny = z.ZodType<string>
|
||||
> extends ChatModelBuilder<
|
||||
TInput,
|
||||
TOutput,
|
||||
SetRequired<Omit<types.openai.ChatCompletionParams, 'messages'>, 'model'>
|
||||
> {
|
||||
_client: types.openai.OpenAIClient
|
||||
|
||||
constructor(
|
||||
client: types.openai.OpenAIClient,
|
||||
options: types.ChatModelOptions<
|
||||
TInput,
|
||||
TOutput,
|
||||
Omit<types.openai.ChatCompletionParams, 'messages'>
|
||||
>
|
||||
) {
|
||||
super({
|
||||
provider: 'openai',
|
||||
model: defaultOpenAIModel,
|
||||
...options
|
||||
})
|
||||
|
||||
this._client = client
|
||||
}
|
||||
|
||||
override async call(
|
||||
input?: types.ParsedData<TInput>
|
||||
): Promise<types.ParsedData<TOutput>> {
|
||||
if (this._options.input) {
|
||||
const inputSchema =
|
||||
this._options.input instanceof z.ZodType
|
||||
? this._options.input
|
||||
: z.object(this._options.input)
|
||||
|
||||
// TODO: handle errors gracefully
|
||||
input = inputSchema.parse(input)
|
||||
}
|
||||
|
||||
// TODO: validate input message variables against input schema
|
||||
|
||||
const messages = this._messages
|
||||
.map((message) => {
|
||||
return {
|
||||
...message,
|
||||
content: message.content
|
||||
? Mustache.render(dedent(message.content), input).trim()
|
||||
: ''
|
||||
}
|
||||
})
|
||||
.filter((message) => message.content)
|
||||
|
||||
if (this._options.output) {
|
||||
const outputSchema =
|
||||
this._options.output instanceof z.ZodType
|
||||
? this._options.output
|
||||
: z.object(this._options.output)
|
||||
|
||||
const { node } = zodToTs(outputSchema)
|
||||
|
||||
if (node.kind === 152) {
|
||||
// ignore raw strings
|
||||
messages.push({
|
||||
role: 'system',
|
||||
content: dedent`Output a string`
|
||||
})
|
||||
} else {
|
||||
const tsTypeString = printNode(node, {
|
||||
removeComments: false,
|
||||
// TODO: this doesn't seem to actually work, so we're doing it manually below
|
||||
omitTrailingSemicolon: true,
|
||||
noEmitHelpers: true
|
||||
})
|
||||
.replace(/^ /gm, ' ')
|
||||
.replace(/;$/gm, '')
|
||||
|
||||
messages.push({
|
||||
role: 'system',
|
||||
content: dedent`Output JSON only in the following format:
|
||||
\`\`\`ts
|
||||
${tsTypeString}
|
||||
\`\`\``
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
// TODO: filter/compress messages based on token counts
|
||||
|
||||
console.log('>>>')
|
||||
console.log(messages)
|
||||
const completion = await this._client.createChatCompletion({
|
||||
model: defaultOpenAIModel, // TODO: this shouldn't be necessary but TS is complaining
|
||||
...this._options.modelParams,
|
||||
messages
|
||||
})
|
||||
|
||||
if (this._options.output) {
|
||||
const outputSchema =
|
||||
this._options.output instanceof z.ZodType
|
||||
? this._options.output
|
||||
: z.object(this._options.output)
|
||||
|
||||
let output: any = completion.message.content
|
||||
console.log('===')
|
||||
console.log(output)
|
||||
console.log('<<<')
|
||||
|
||||
if (outputSchema instanceof z.ZodArray) {
|
||||
try {
|
||||
const trimmedOutput = extractJSONArrayFromString(output)
|
||||
output = JSON.parse(jsonrepair(trimmedOutput ?? output))
|
||||
} catch (err) {
|
||||
// TODO
|
||||
throw err
|
||||
}
|
||||
} else if (outputSchema instanceof z.ZodObject) {
|
||||
try {
|
||||
const trimmedOutput = extractJSONObjectFromString(output)
|
||||
output = JSON.parse(jsonrepair(trimmedOutput ?? output))
|
||||
} catch (err) {
|
||||
// TODO
|
||||
throw err
|
||||
}
|
||||
}
|
||||
|
||||
// TODO: handle errors, retry logic, and self-healing
|
||||
|
||||
return outputSchema.parse(output)
|
||||
} else {
|
||||
return completion.message.content as any
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -0,0 +1,188 @@
|
|||
import { jsonrepair } from 'jsonrepair'
|
||||
import Mustache from 'mustache'
|
||||
import { dedent } from 'ts-dedent'
|
||||
import type { SetRequired } from 'type-fest'
|
||||
import { ZodRawShape, ZodTypeAny, z } from 'zod'
|
||||
import { printNode, zodToTs } from 'zod-to-ts'
|
||||
|
||||
import * as types from './types'
|
||||
import { defaultOpenAIModel } from './constants'
|
||||
import { ChatModelBuilder } from './llm'
|
||||
import {
|
||||
extractJSONArrayFromString,
|
||||
extractJSONObjectFromString
|
||||
} from './utils'
|
||||
|
||||
export class OpenAIChatModelBuilder<
|
||||
TInput extends ZodRawShape | ZodTypeAny = ZodTypeAny,
|
||||
TOutput extends ZodRawShape | ZodTypeAny = z.ZodType<string>
|
||||
> extends ChatModelBuilder<
|
||||
TInput,
|
||||
TOutput,
|
||||
SetRequired<Omit<types.openai.ChatCompletionParams, 'messages'>, 'model'>
|
||||
> {
|
||||
_client: types.openai.OpenAIClient
|
||||
|
||||
constructor(
|
||||
client: types.openai.OpenAIClient,
|
||||
options: types.ChatModelOptions<
|
||||
TInput,
|
||||
TOutput,
|
||||
Omit<types.openai.ChatCompletionParams, 'messages'>
|
||||
>
|
||||
) {
|
||||
super({
|
||||
provider: 'openai',
|
||||
model: defaultOpenAIModel,
|
||||
...options
|
||||
})
|
||||
|
||||
this._client = client
|
||||
}
|
||||
|
||||
override async call(
|
||||
input?: types.ParsedData<TInput>
|
||||
): Promise<types.ParsedData<TOutput>> {
|
||||
if (this._options.input) {
|
||||
const inputSchema =
|
||||
this._options.input instanceof z.ZodType
|
||||
? this._options.input
|
||||
: z.object(this._options.input)
|
||||
|
||||
// TODO: handle errors gracefully
|
||||
input = inputSchema.parse(input)
|
||||
}
|
||||
|
||||
// TODO: validate input message variables against input schema
|
||||
|
||||
const messages = this._messages
|
||||
.map((message) => {
|
||||
return {
|
||||
...message,
|
||||
content: message.content
|
||||
? Mustache.render(dedent(message.content), input).trim()
|
||||
: ''
|
||||
}
|
||||
})
|
||||
.filter((message) => message.content)
|
||||
|
||||
if (this._options.examples?.length) {
|
||||
// TODO: smarter example selection
|
||||
for (const example of this._options.examples) {
|
||||
messages.push({
|
||||
role: 'system',
|
||||
content: `Example input: ${example.input}\n\nExample output: ${example.output}`
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
if (this._options.output) {
|
||||
const outputSchema =
|
||||
this._options.output instanceof z.ZodType
|
||||
? this._options.output
|
||||
: z.object(this._options.output)
|
||||
|
||||
const { node } = zodToTs(outputSchema)
|
||||
|
||||
if (node.kind === 152) {
|
||||
// handle raw strings differently
|
||||
messages.push({
|
||||
role: 'system',
|
||||
content: dedent`Output a raw string only, without any additional text.`
|
||||
})
|
||||
} else {
|
||||
const tsTypeString = printNode(node, {
|
||||
removeComments: false,
|
||||
// TODO: this doesn't seem to actually work, so we're doing it manually below
|
||||
omitTrailingSemicolon: true,
|
||||
noEmitHelpers: true
|
||||
})
|
||||
.replace(/^ /gm, ' ')
|
||||
.replace(/;$/gm, '')
|
||||
|
||||
messages.push({
|
||||
role: 'system',
|
||||
content: dedent`Output JSON only in the following format:
|
||||
\`\`\`ts
|
||||
${tsTypeString}
|
||||
\`\`\``
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
// TODO: filter/compress messages based on token counts
|
||||
|
||||
console.log('>>>')
|
||||
console.log(messages)
|
||||
const completion = await this._client.createChatCompletion({
|
||||
model: defaultOpenAIModel, // TODO: this shouldn't be necessary but TS is complaining
|
||||
...this._options.modelParams,
|
||||
messages
|
||||
})
|
||||
|
||||
if (this._options.output) {
|
||||
const outputSchema =
|
||||
this._options.output instanceof z.ZodType
|
||||
? this._options.output
|
||||
: z.object(this._options.output)
|
||||
|
||||
let output: any = completion.message.content
|
||||
console.log('===')
|
||||
console.log(output)
|
||||
console.log('<<<')
|
||||
|
||||
if (outputSchema instanceof z.ZodArray) {
|
||||
try {
|
||||
const trimmedOutput = extractJSONArrayFromString(output)
|
||||
output = JSON.parse(jsonrepair(trimmedOutput ?? output))
|
||||
} catch (err) {
|
||||
// TODO
|
||||
throw err
|
||||
}
|
||||
} else if (outputSchema instanceof z.ZodObject) {
|
||||
try {
|
||||
const trimmedOutput = extractJSONObjectFromString(output)
|
||||
output = JSON.parse(jsonrepair(trimmedOutput ?? output))
|
||||
} catch (err) {
|
||||
// TODO
|
||||
throw err
|
||||
}
|
||||
} else if (outputSchema instanceof z.ZodBoolean) {
|
||||
output = output.toLowerCase().trim()
|
||||
const booleanOutputs = {
|
||||
true: true,
|
||||
false: false,
|
||||
yes: true,
|
||||
no: false,
|
||||
1: true,
|
||||
0: false
|
||||
}
|
||||
|
||||
const booleanOutput = booleanOutputs[output]
|
||||
if (booleanOutput !== undefined) {
|
||||
output = booleanOutput
|
||||
} else {
|
||||
throw new Error(`invalid boolean output: ${output}`)
|
||||
}
|
||||
} else if (outputSchema instanceof z.ZodNumber) {
|
||||
output = output.trim()
|
||||
|
||||
const numberOutput = outputSchema.isInt
|
||||
? parseInt(output)
|
||||
: parseFloat(output)
|
||||
|
||||
if (isNaN(numberOutput)) {
|
||||
throw new Error(`invalid number output: ${output}`)
|
||||
} else {
|
||||
output = numberOutput
|
||||
}
|
||||
}
|
||||
|
||||
// TODO: handle errors, retry logic, and self-healing
|
||||
|
||||
return outputSchema.parse(output)
|
||||
} else {
|
||||
return completion.message.content as any
|
||||
}
|
||||
}
|
||||
}
|
||||
38
src/temp.ts
38
src/temp.ts
|
|
@ -1,38 +0,0 @@
|
|||
import dotenv from 'dotenv-safe'
|
||||
import { OpenAIClient } from 'openai-fetch'
|
||||
import { z } from 'zod'
|
||||
|
||||
import { Agentic } from './llm'
|
||||
|
||||
// import { LLMQuery } from '@agentic/llm-query'
|
||||
|
||||
dotenv.config()
|
||||
|
||||
async function main() {
|
||||
const openai = new OpenAIClient({ apiKey: process.env.OPENAI_API_KEY! })
|
||||
const $ = new Agentic({ openai })
|
||||
|
||||
// const ex0 = await $.gpt4(`give me a single boolean value`)
|
||||
// .output(z.boolean())
|
||||
// // .retry({ attempts: 3 })
|
||||
// .call()
|
||||
// console.log(ex0)
|
||||
|
||||
const ex1 = await $.gpt4(`give me fake data`)
|
||||
.output(z.object({ foo: z.string(), bar: z.number() }))
|
||||
// .output(z.string())
|
||||
// .retry({ attempts: 3 })
|
||||
.call()
|
||||
console.log(ex1)
|
||||
|
||||
// const getBoolean = $.gpt4(`give me a single boolean value {{foo}}`)
|
||||
// .input(z.object({ foo: z.string() }))
|
||||
// .output(z.boolean())
|
||||
|
||||
// await Promise.all([
|
||||
// getBoolean.call({ foo: 'foo' }),
|
||||
// getBoolean.call({ foo: 'bar' })
|
||||
// ])
|
||||
}
|
||||
|
||||
main()
|
||||
28
src/temp2.ts
28
src/temp2.ts
|
|
@ -1,28 +0,0 @@
|
|||
import { ZodRawShape, ZodType, ZodTypeAny, z } from 'zod'
|
||||
|
||||
import * as types from './types'
|
||||
|
||||
class Test<T extends ZodRawShape | ZodTypeAny = ZodTypeAny> {
|
||||
_schema: T
|
||||
|
||||
schema<U extends ZodRawShape | ZodTypeAny>(schema: U): Test<U> {
|
||||
;(this as unknown as Test<U>)._schema = schema
|
||||
return this as unknown as Test<U>
|
||||
}
|
||||
|
||||
call(value: types.ParsedData<T>): types.ParsedData<T> {
|
||||
const finalSchema =
|
||||
this._schema instanceof ZodType ? this._schema : z.object(this._schema)
|
||||
return finalSchema.parse(value)
|
||||
}
|
||||
}
|
||||
|
||||
async function main() {
|
||||
const t = new Test()
|
||||
const t2 = t.schema(z.string())
|
||||
const t3 = t2.call('foo')
|
||||
|
||||
console.log(t3)
|
||||
}
|
||||
|
||||
main()
|
||||
Ładowanie…
Reference in New Issue