Documentation Index
Fetch the complete documentation index at: https://nvd-54.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
This doc helps you get started with Fireworks AI 聊天模型. For a list of all models served by Fireworks 请参阅 Fireworks docs.
API 参考有关所有 features and configuration options, 请前往 ChatFireworks API reference.
集成详情
模型功能
要访问 Fireworks 模型,您需要创建一个 Fireworks 账户,获取 API 密钥,并安装 langchain-fireworks 集成包。
前往 fireworks.ai 注册 Fireworks 并生成 API 密钥。 完成后设置 FIREWORKS_API_KEY 环境变量:
import getpass
import os
if "FIREWORKS_API_KEY" not in os.environ:
os.environ["FIREWORKS_API_KEY"] = getpass.getpass("Enter your Fireworks API key: ")
要启用模型调用的自动追踪,请设置您的 LangSmith API key:
os.environ["LANGSMITH_API_KEY"] = getpass.getpass("请输入您的 LangSmith API 密钥: ")
os.environ["LANGSMITH_TRACING"] = "true"
LangChain 的 Fireworks 集成位于 langchain-fireworks 包中:
pip install -qU langchain-fireworks
实例化
现在我们可以实例化模型对象并生成聊天补全:
from langchain_fireworks import ChatFireworks
llm = ChatFireworks(
model="accounts/fireworks/models/kimi-k2-instruct-0905",
temperature=0,
max_tokens=None,
timeout=None,
max_retries=2,
# 其他参数...
)
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
AIMessage(content="J'adore la programmation.", additional_kwargs={}, response_metadata={'token_usage': {'prompt_tokens': 31, 'total_tokens': 41, 'completion_tokens': 10}, 'system_fingerprint': '', 'finish_reason': 'stop', 'logprobs': None, 'model_provider': 'fireworks', 'model_name': 'accounts/fireworks/models/kimi-k2-instruct-0905'}, id='lc_run--a2bdeca3-6394-4c80-97ad-2fc8db9f54bb-0', usage_metadata={'input_tokens': 31, 'output_tokens': 10, 'total_tokens': 41})
J'adore la programmation.
API 参考
有关所有 features and configuration options, 请前往 ChatFireworks API reference.