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from openai import OpenAI

# 獲取環(huán)境變量中的 API 密鑰
XAI_API_KEY = os.getenv("XAI_API_KEY")
client = OpenAI(
api_key=XAI_API_KEY,
base_url="https://api.x.ai/v1",
)

# 發(fā)起請(qǐng)求
completion = client.chat.completions.create(
model="grok-2-latest",
messages=[
{
"role": "system",
"content": "You are Grok, a chatbot inspired by the Hitchhikers Guide to the Galaxy."
},
{
"role": "user",
"content": "What is the meaning of life, the universe, and everything?"
},
],
temperature=0.7
)

# 打印回答
print(completion.choices[0].message.content)

2. 代碼調(diào)試與優(yōu)化

Python復(fù)制

import os

from openai import OpenAI



# 獲取環(huán)境變量中的 API 密鑰

XAI_API_KEY = os.getenv("XAI_API_KEY")

client = OpenAI(

    api_key=XAI_API_KEY,

    base_url="https://api.x.ai/v1",

)



# 發(fā)起代碼優(yōu)化請(qǐng)求

completion = client.chat.completions.create(

    model="grok-2-latest",

    messages=[

        {

            "role": "system",

            "content": "You are a helpful assistant for debugging and optimizing code."

        },

        {

            "role": "user",

            "content": "Here is a Python function I'm working on. Can you suggest any improvements?\n\n``python\ndef factorial(n):\n    if n == 0:\n        return 1\n    else:\n        return n * factorial(n - 1)\n``"
        },
    ],
    temperature=0.5
)

# 打印優(yōu)化建議
print(completion.choices[0].message.content)

3. 圖像分析

Python復(fù)制

import os

from openai import OpenAI



# 獲取環(huán)境變量中的 API 密鑰

XAI_API_KEY = os.getenv("XAI_API_KEY")

client = OpenAI(

    api_key=XAI_API_KEY,

    base_url="https://api.x.ai/v1",

)



# 圖像 URL 示例（替換為實(shí)際圖像鏈接）

image_url = "https://example.com/path/to/image.png"



# 發(fā)起圖像分析請(qǐng)求

completion = client.chat.completions.create(

    model="grok-2-vision-latest",

    messages=[

        {

            "role": "user",

            "content": [

                {

                    "type": "image_url",

                    "image_url": {

                        "url": image_url,

                        "detail": "high"

                    }

                },

                {

                    "type": "text",

                    "text": "What can you see in this image?"

                }

            ]

        }

    ],

    temperature=0.01

)



# 打印分析結(jié)果

print(completion.choices[0].message.content)

4. 自定義系統(tǒng)角色

Python復(fù)制

import os

from openai import OpenAI



# 獲取環(huán)境變量中的 API 密鑰

XAI_API_KEY = os.getenv("XAI_API_KEY")

client = OpenAI(

    api_key=XAI_API_KEY,

    base_url="https://api.x.ai/v1",

)



# 自定義系統(tǒng)角色

system_role = """

You are a senior software engineer specializing in Python development. 

Your task is to assist with code reviews, debugging, and optimization suggestions.

"""



# 發(fā)起請(qǐng)求

completion = client.chat.completions.create(

    model="grok-2-latest",

    messages=[

        {

            "role": "system",

            "content": system_role

        },

        {

            "role": "user",

            "content": "Can you help me review this code snippet for potential issues?\n\n``python\ndef add(a, b):\n    return a + b\n``"
        }
    ],
    temperature=0.2
)

# 打印回答
print(completion.choices[0].message.content)

限制和考慮

準(zhǔn)確性：盡管 Grok 很先進(jìn)，但它仍在開發(fā)中，對(duì)于關(guān)鍵信息或代碼建議要進(jìn)行交叉檢查。
隱私：要注意你分享的數(shù)據(jù)，與任何 AI 工具一樣，了解 Grok 可能沒(méi)有企業(yè)解決方案那樣的隱私控制。

結(jié)論

Grok 不僅僅是另一個(gè) AI 工具；它是為技術(shù)愛(ài)好者和專業(yè)人士設(shè)計(jì)的、不斷發(fā)展的伙伴，旨在推動(dòng)軟件工程的可能性邊界。通過(guò)將 Grok 整合到你的工作流程中，你不僅能夠增強(qiáng)解決問(wèn)題的能力，還能在快速發(fā)展的技術(shù)世界中保持領(lǐng)先。繼續(xù)探索，繼續(xù)提問(wèn)，讓 Grok 成為你的開發(fā)伙伴。記住，正如 Grok 自己會(huì)說(shuō)的，“別慌！” —— 擁抱學(xué)習(xí)曲線，你會(huì)發(fā)現(xiàn) Grok 在你的編碼冒險(xiǎn)中是一個(gè)無(wú)價(jià)的資產(chǎn)。