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Featherless with Langchain-js v0.2.12 example
Raw
index.mjs
// based on https://github.com/OpenRouterTeam/openrouter-examples/blob/main/examples/langchain/index.ts
import { ChatOpenAI } from "@langchain/openai"
import { HumanMessage, SystemMessage, AIMessage } from "@langchain/core/messages"
import 'dotenv/config'
// TODO: make a key at https://featherless.ai/account/api-keys and put it in .env
const FEATHERLESS_API_KEY = process.env.FEATHERLESS_API_KEY
const FEATHERLESS_BASE_URL =
process.env.FEATHERLESS_BASE_URL || "https://api.featherless.ai/v1"
const chat = new ChatOpenAI(
{
modelName: "NousResearch/Meta-Llama-3.1-8B-Instruct",
// modelName: "meta-llama/Meta-Llama-3-8B-Instruct",
// Note that access to certain models, like Llama3, requires accepting the Ts&Cs of the model.
// please visit https://featherless.ai/models/meta-llama/Meta-Llama-3-8B-Instruct for details on how to do this
// modelName: "HuggingFaceH4/zephyr-7b-beta",
// modelName: "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
// modelName: "failspy/Llama-3-8B-Instruct-MopeyMule",
temperature: 0.8,
maxTokens: 300,
// unfortunately this does _not_ work with streaming, as that requires a token counting endpoint, which
// featherless does not currently have.
// streaming: true,
openAIApiKey: FEATHERLESS_API_KEY,
},
{
basePath: FEATHERLESS_BASE_URL,
baseOptions: {
headers: {
"HTTP-Referer": "https://localhost:3000/",
"X-Title": "Langchain.js Testing",
},
},
}
)
async function main() {
const response = await chat.call([
new SystemMessage(
"You are a helpful assistant that translates English to some other language, depending on the context."
),
...lotsOfMessages(2),
new HumanMessage(
"Translate: I am bouncy goofball who loves cookies and wants to go to Disneyland and ride the teacups. But one day I will be a real boy."
),
])
console.log(response)
}
// Helpers
function* lotsOfMessages(numMessages) {
const batch = [
new HumanMessage("Translate: I make cookies."),
new AIMessage("Je fais des biscuits."),
new HumanMessage("Translate: I am a human."),
new AIMessage("Je suis un humain."),
new HumanMessage("Translate: I am a robot."),
new AIMessage("Je suis un robot."),
new HumanMessage("Translate: I am a dog."),
new AIMessage("Je suis un chien."),
new HumanMessage("Translate: I am a cat."),
new AIMessage("Je suis un chat."),
new HumanMessage("Translate: I am a bird."),
new AIMessage("Je suis un oiseau."),
new HumanMessage("Translate: I am a fish."),
new AIMessage("Je suis un poisson."),
new HumanMessage("Translate: I am a horse."),
new AIMessage("Je suis un cheval."),
new HumanMessage("Translate: I am a cow."),
new AIMessage("Je suis une vache."),
new HumanMessage("Translate: I am a pig."),
new AIMessage("Je suis un cochon."),
]
for (let i = 0; i < numMessages; i++) {
yield batch[i % batch.length]
}
}
// console.log(...lotsOfMessages(2))
// Run
main().catch((e) => console.error(e))
Raw
package-lock.json
{
"name": "featherless-langchain-js-example",
"version": "1.0.0",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "featherless-langchain-js-example",
"version": "1.0.0",
"license": "ISC",
"dependencies": {
"@langchain/openai": "^0.2.5",
"dotenv": "^16.4.5",
"langchain": "^0.2.12",
"openai": "^4.54.0"
}
},
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package.json
{
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"version": "1.0.0",
"main": "index.js",
"scripts": {
"test": "echo \"Error: no test specified\" && exit 1"
},
"author": "",
"license": "ISC",
"description": "",
"dependencies": {
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"dotenv": "^16.4.5",
"langchain": "^0.2.12",
"openai": "^4.54.0"
}
}
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