---
title: ChatFeatherlessAi
---

이 문서는 FeatherlessAi [chat models](/oss/python/langchain/models) 시작하는 데 도움을 드립니다. 모든 ChatFeatherlessAi 기능 및 구성에 대한 자세한 문서는 [API reference](https://python.langchain.com/api_reference/__package_name_short_snake__/chat_models/__module_name__.chat_models.ChatFeatherlessAi.html)를 참조하세요.

- 예시는 [featherless.ai/](https://featherless.ai/)를 참조하세요.

## Overview

### Integration details

| Class | Package | Local | Serializable | [JS support](https://js.langchain.com/docs/integrations/chat/__package_name_short_snake__) | Downloads | Version |
| :--- | :--- | :---: | :---: |  :---: | :---: | :---: |
| [ChatFeatherlessAi](https://python.langchain.com/api_reference/__package_name_short_snake__/chat_models/__module_name__.chat_models.ChatFeatherlessAi.html) | [langchain-featherless-ai](https://python.langchain.com/api_reference/__package_name_short_snake__/) | ✅ | ❌ | ❌ | ![PyPI - Downloads](https://img.shields.io/pypi/dm/langchain-featherless-ai?style=flat-square&label=%20) | ![PyPI - Version](https://img.shields.io/pypi/v/langchain-featherless-ai?style=flat-square&label=%20) |

### Model features

| [Tool calling](/oss/python/langchain/tools) | [Structured output](/oss/python/langchain/structured-output) | JSON mode | [Image input](/oss/python/langchain/messages#multimodal) | Audio input | Video input | [Token-level streaming](/oss/python/langchain/streaming/) | Native async | [Token usage](/oss/python/langchain/models#token-usage) | [Logprobs](/oss/python/langchain/models#log-probabilities) |
| :---: | :---: | :---: | :---: |  :---: | :---: | :---: | :---: | :---: | :---: |
| ❌ | ❌ | ✅| ❌ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ |

## Setup

Featherless AI 모델에 액세스하려면 Featherless AI 계정을 생성하고 API key를 발급받은 후 `langchain-featherless-ai` integration package를 설치해야 합니다.

### Credentials

[featherless.ai/](https://featherless.ai/)로 이동하여 FeatherlessAI에 가입하고 API key를 생성하세요. 완료한 후 FEATHERLESSAI_API_KEY environment variable을 설정하세요:

```python
import getpass
import os

if not os.getenv("FEATHERLESSAI_API_KEY"):
    os.environ["FEATHERLESSAI_API_KEY"] = getpass.getpass(
        "Enter your FeatherlessAI API key: "
    )
모델 호출에 대한 자동 추적을 원하시면 아래 주석을 해제하여 LangSmith API key를 설정할 수도 있습니다: 
os.environ["LANGSMITH_TRACING"] = "true"
os.environ["LANGSMITH_API_KEY"] = getpass.getpass("Enter your LangSmith API key: ")

​
Installation

LangChain FeatherlessAi integration은 langchain-featherless-ai package에 있습니다: 
pip install -qU langchain-featherless-ai

Note: you may need to restart the kernel to use updated packages.

​
Instantiation

이제 model object를 인스턴스화하고 chat completion을 생성할 수 있습니다: 
from langchain_featherless_ai import ChatFeatherlessAi

llm = ChatFeatherlessAi(
    model="featherless-ai/Qwerky-72B",
    temperature=0.9,
    max_tokens=None,
    timeout=None,
)

​
Invocation

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

c:\Python311\Lib\site-packages\pydantic\main.py:463: UserWarning: Pydantic serializer warnings:
  PydanticSerializationUnexpectedValue(Expected `int` - serialized value may not be as expected [input_value=1747322408.706, input_type=float])
  return self.__pydantic_serializer__.to_python(

AIMessage(content="J'aime programmer.", additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 5, 'prompt_tokens': 27, 'total_tokens': 32, 'completion_tokens_details': None, 'prompt_tokens_details': None}, 'model_name': 'featherless-ai/Qwerky-72B', 'system_fingerprint': '', 'id': 'G1sgui', 'service_tier': None, 'finish_reason': 'stop', 'logprobs': None}, id='run--6ecbe184-c94e-4d03-bf75-9bd85b04ba5b-0', usage_metadata={'input_tokens': 27, 'output_tokens': 5, 'total_tokens': 32, 'input_token_details': {}, 'output_token_details': {}})

print(ai_msg.content)

J'aime programmer.

​
API reference

모든 ChatFeatherlessAi 기능 및 구성에 대한 자세한 문서는 API reference를 참조하세요 

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