ChatFireworks integration | LangChain 한국어

Fireworks AI is an AI inference platform to run and customize models. For a list of all models served by Fireworks see the Fireworks docs.

This guide will help you getting started with ChatFireworks chat models. For detailed documentation of all ChatFireworks features and configurations head to the API reference.

Overview

Integration details

Class	Package	Serializable	PY support	Downloads	Version
`ChatFireworks`	`@langchain/fireworks`	✅	✅

Model features

See the links in the table headers below for guides on how to use specific features.

Tool calling	Structured output	Image input	Audio input	Video input	Token-level streaming	Token usage	Logprobs
✅	✅	❌	❌	❌	✅	✅	✅

Setup

To access ChatFireworks models you'll need to create a Fireworks account, get an API key, and install the @langchain/fireworks integration package.

Credentials

Head to the Fireworks website to sign up to Fireworks and generate an API key. Once you've done this set the FIREWORKS_API_KEY environment variable:

export FIREWORKS_API_KEY="your-api-key"

If you want to get automated tracing of your model calls you can also set your LangSmith API key by uncommenting below:

# export LANGSMITH_TRACING="true"
# export LANGSMITH_API_KEY="your-api-key"

Installation

The LangChain ChatFireworks integration lives in the @langchain/fireworks package:

npm

yarn

pnpm

npm install @langchain/fireworks @langchain/core

yarn add @langchain/fireworks @langchain/core

pnpm add @langchain/fireworks @langchain/core

Instantiation

Now we can instantiate our model object and generate chat completions:

import { ChatFireworks } from "@langchain/fireworks"

const llm = new ChatFireworks({
    model: "accounts/fireworks/models/llama-v3p1-70b-instruct",
    temperature: 0,
    maxTokens: undefined,
    timeout: undefined,
    maxRetries: 2,
    // other params...
})

Invocation

const aiMsg = await llm.invoke([
    [
        "system",
        "You are a helpful assistant that translates English to French. Translate the user sentence.",
    ],
    ["human", "I love programming."],
])
aiMsg

AIMessage {
  "id": "chatcmpl-9rBYHbb6QYRrKyr2tMhO9pH4AYXR4",
  "content": "J'adore la programmation.",
  "additional_kwargs": {},
  "response_metadata": {
    "tokenUsage": {
      "completionTokens": 8,
      "promptTokens": 31,
      "totalTokens": 39
    },
    "finish_reason": "stop"
  },
  "tool_calls": [],
  "invalid_tool_calls": [],
  "usage_metadata": {
    "input_tokens": 31,
    "output_tokens": 8,
    "total_tokens": 39
  }
}

console.log(aiMsg.content)

J'adore la programmation.

API reference

For detailed documentation of all ChatFireworks features and configurations head to the API reference.