ChatGroq 集成

使用 LangChain Python 集成 ChatGroq 对话模型。

本页面引用了 Groq，一家人工智能硬件和软件公司。有关如何使用 Groq 模型（由 xAI 提供）的信息，请参阅 xAI 提供商页面。

API 参考

查看所有功能和配置选项的详细文档，请前往 @[ChatGroq] API 参考。

列出所有 Groq 模型的信息，请访问他们的 文档。

概述

集成细节

类	包	可序列化	JS 支持	下载次数	版本
@[ChatGroq]	@[langchain-groq]	beta	✅

模型特性

工具调用	结构化输出	图像输入	音频输入	视频输入	Token 级流式输出	原生异步	Token 使用	Logprobs
✅	✅	✅	❌	❌	✅	✅	✅	✅

设置

要访问 Groq 模型，您需要创建一个 Groq 账户，获取一个 API 密钥，并安装 langchain-groq 集成包。

凭证

前往 Groq 控制台 注册 Groq 并生成 API 密钥。完成这些步骤后，设置 GROQ_API_KEY 环境变量：

import getpass
import os

if "GROQ_API_KEY" not in os.environ:
    os.environ["GROQ_API_KEY"] = getpass.getpass("Enter your Groq API key: ")

要启用模型调用的自动跟踪，设置您的 LangSmith API 密钥：

os.environ["LANGSMITH_API_KEY"] = getpass.getpass("Enter your LangSmith API key: ")
os.environ["LANGSMITH_TRACING"] = "true"

安装

LangChain Groq 集成位于 langchain-groq 包中：

pip install -qU langchain-groq

实例化

现在我们可以实例化我们的模型对象并生成聊天补全。

推理格式

如果您选择设置一个 reasoning_format，您必须确保您正在使用的模型支持它。您可以在 Groq 文档 中找到支持该格式的模型列表。

from langchain_groq import ChatGroq

llm = ChatGroq(
    model="qwen/qwen3-32b",
    temperature=0,
    max_tokens=None,
    reasoning_format="parsed",
    timeout=None,
    max_retries=2,
    # other params...
)

调用

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'aime la programmation.", additional_kwargs={'reasoning_content': 'Okay, so I need to translate the sentence "I love programming." into French. Let me think about how to approach this. \n\nFirst, I know that "I" in French is "Je." That\'s straightforward. Now, the verb "love" in French is "aime" when referring to oneself. So, "I love" would be "J\'aime." \n\nNext, the word "programming." In French, programming is "la programmation." But wait, in French, when you talk about loving an activity, you often use the definite article. So, it would be "la programmation." \n\nPutting it all together, "I love programming" becomes "J\'aime la programmation." That sounds right. I think that\'s the correct translation. \n\nI should double-check to make sure I\'m not missing anything. Maybe I can think of similar phrases. For example, "I love reading" is "J\'aime lire," but when it\'s a noun, like "I love music," it\'s "J\'aime la musique." So, yes, using "la programmation" makes sense here. \n\nI don\'t think I need to change anything else. The sentence structure in French is Subject-Verb-Object, just like in English, so "J\'aime la programmation" should be correct. \n\nI guess another way to say it could be "J\'adore la programmation," using "adore" instead of "aime," but "aime" is more commonly used in this context. So, sticking with "J\'aime la programmation" is probably the best choice.\n'}, response_metadata={'token_usage': {'completion_tokens': 346, 'prompt_tokens': 23, 'total_tokens': 369, 'completion_time': 1.447541218, 'prompt_time': 0.000983386, 'queue_time': 0.009673684, 'total_time': 1.448524604}, 'model_name': 'deepseek-r1-distill-llama-70b', 'system_fingerprint': 'fp_e98d30d035', 'finish_reason': 'stop', 'logprobs': None}, id='run--5679ae4f-f4e8-4931-bcd5-7304223832c0-0', usage_metadata={'input_tokens': 23, 'output_tokens': 346, 'total_tokens': 369})

print(ai_msg.content)

J'aime la programmation.

视觉

Groq 通过部分模型支持视觉功能，允许您将图像与文本提示一起发送。

支持视觉功能的模型

• meta-llama/llama-4-scout-17b-16e-instruct
• meta-llama/llama-4-maverick-17b-128e-instruct

要获取最新的支持视觉功能的模型列表，请查看 Groq 文档。

from langchain_groq import ChatGroq
from langchain.messages import HumanMessage

llm = ChatGroq(model="meta-llama/llama-4-scout-17b-16e-instruct")

message = HumanMessage(
    content=[
        {"type": "text", "text": "Describe this image in detail."},
        {
            "type": "image_url",
            "image_url": {"url": "https://example.com/image.jpg"},
        },
    ]
)

response = llm.invoke([message])
print(response.content)

图像 URL 要求

Groq 直接从 URL 获取图像。确保您的图像 URL：

• 公开可访问（无需身份验证）
• 直接返回图像（无需重定向）
• 最大图像大小：每个请求 20MB

---

API 参考

查看所有 ChatGroq 功能和配置的详细文档，请前往 API 参考。

---

官方原文：src/oss/python/integrations/chat/groq.mdx · 非官方翻译，译文由 AI 生成，以英文原文为准。