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llm.js
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223 lines (191 loc) · 5.27 KB
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export function createLLM (config, fetch) {
let isInitialized = false
return {
isSupported,
chat: (...args) => ({
then: (resolve, reject) => chat(...args).then(resolve, reject),
[Symbol.asyncIterator]: (...args) => chatStream(...args)
}),
complete: (...args) => ({
then: (resolve, reject) => complete(...args).then(resolve, reject),
[Symbol.asyncIterator]: (...args) => completeStream(...args)
})
}
async function isSupported () {
if (!config.llm.enabled) return false
const has = await hasModel()
if (has) return true
return (config.llm.apiKey === 'ollama')
}
async function init () {
if (!config.llm.enabled) throw new Error('LLM API is disabled')
if (isInitialized) return
// TODO: prompt for download
if (config.llm.apiKey === 'ollama') {
try {
await listModels()
} catch {
throw new Error('LLM API needs system service install')
}
const has = await hasModel()
if (!has) {
await confirmPull()
await pullModel()
}
}
isInitialized = true
}
async function listModels () {
const { data } = await get('./models', 'Unable to list models')
return data
}
async function confirmPull () {
if (!config.llm.autopull) throw new Error('.agregorerc[llm.autopull] is not enabled, unable to download model')
}
async function pullModel () {
await post('/api/pull', {
name: config.llm.model
}, `Unable to pull model ${config.llm.model}`, false)
}
async function hasModel () {
try {
const models = await listModels()
return !!models.find(({ id }) => id === config.llm.model)
} catch (e) {
console.error(e.stack)
return false
}
}
async function chat ({
messages = [],
temperature = config.llm.temperature,
maxTokens,
stop
}) {
await init()
const { choices } = await post('./chat/completions', {
messages,
model: config.llm.model,
temperature,
max_tokens: maxTokens,
stop
}, 'Unable to generate completion')
return choices[0].message
}
async function complete (prompt, {
temperature = config.llm.temperature,
maxTokens,
stop
} = {}) {
await init()
const { choices } = await post('./completions', {
prompt,
model: config.llm.model,
temperature,
max_tokens: maxTokens,
stop
}, 'Unable to generate completion')
return choices[0].text
}
async function * chatStream ({
messages = [],
temperature = config.llm.temperature,
maxTokens,
stop
} = {}) {
await init()
for await (const { choices } of stream('./chat/completions', {
messages,
model: config.llm.model,
temperature,
max_tokens: maxTokens,
stop
}, 'Unable to generate completion')) {
yield choices[0].delta
}
}
async function * completeStream (prompt, {
temperature = config.llm.temperature,
maxTokens,
stop
} = {}) {
await init()
for await (const { choices } of stream('./completions', {
prompt,
model: config.llm.model,
temperature,
max_tokens: maxTokens,
stop
}, 'Unable to generate completion')) {
yield choices[0].text
}
}
async function * stream (path, data = {}, errorMessage = 'Unable to stream') {
const url = new URL(path, config.llm.baseURL).href
if (!data.stream) data.stream = true
const response = await fetch(url, {
method: 'POST',
headers: {
'Content-Type': 'application/json; charset=utf8',
Authorization: `Bearer ${config.llm.apiKey}`
},
body: JSON.stringify(data)
})
if (!response.ok) {
throw new Error(`${errorMessage} ${await response.text()}`)
}
const decoder = new TextDecoder('utf-8')
let remaining = ''
const reader = response.body.getReader()
for await (const chunk of iterate(reader)) {
remaining += decoder.decode(chunk)
const lines = remaining.split('data: ')
remaining = lines.splice(-1)[0]
yield * lines
.filter((line) => !!line)
.map((line) => JSON.parse(line))
}
}
async function get (path, errorMessage, parseBody = true) {
const url = new URL(path, config.llm.baseURL).href
const response = await fetch(url, {
method: 'GET',
headers: {
Authorization: `Bearer ${config.llm.apiKey}`
}
})
if (!response.ok) {
throw new Error(`${errorMessage} ${await response.text()}`)
}
if (parseBody) {
return await response.json()
} else {
return await response.text()
}
}
async function post (path, data, errorMessage, shouldParse = true) {
const url = new URL(path, config.llm.baseURL).href
const response = await fetch(url, {
method: 'POST',
headers: {
'Content-Type': 'application/json; charset=utf8',
Authorization: `Bearer ${config.llm.apiKey}`
},
body: JSON.stringify(data)
})
if (!response.ok) {
throw new Error(`${errorMessage} ${await response.text()}`)
}
if (shouldParse) {
return await response.json()
}
return await response.text()
}
}
async function * iterate (reader) {
while (true) {
const { done, value } = await reader.read()
if (done) return
yield value
}
}