别再自己“炼丹”了!这个黄金API Key,让你直接调用全球顶级大模型

sambanova全面开放:一行代码,解锁高性能AI,开发者、创业者的算力“作弊器”来了!

小伙伴们,你是否也曾这样?
- 仰望GPT-4、Claude-3等顶尖大模型,却困于高昂的使用成本、漫长的申请流程?
- 想将最先进的AI能力集成到你的产品中,却在算力部署、模型维护的泥潭里挣扎?
- 有一个绝妙的AI应用创意,却被硬件门槛和工程复杂度泼了一盆冷水?
如果我们说,现在,这一切的壁垒正在被一把“钥匙”悄然打开——你会不会心跳加速?
就是它:sambanova平台的可调用大模型APIKey
这不仅仅是一串字符。它是一张通往“模型自由”的通行证。它意味着,你不再需要耗费巨资组建算力集群,无需纠结于选择哪个开源模型,更不必担心复杂的推理优化。你只需要一个API Key,就能以云服务的方式,直接调用经过大规模计算精炼的高性能大模型,将世界级的AI能力,如同水电煤一样,接入你的代码、你的产品、你的业务流程。
想象一下:用几行代码,就能让你的应用拥有媲美顶尖水平的对话、推理、创作和视觉能力。无论是构建下一代智能助手、开发颠覆性的内容生成工具,还是为企业打造专属的AI大脑,门槛从未如此之低,而可能性从未如此广阔。
效率革命,已然发生。 下一个抓住它的,会是你吗?
接下来,让我们一起深入解读,这把“黄金钥匙”究竟能为你开启怎样的新世界。


创建api key


Python 调用
安装模块

pip install sambanova

 

from sambanova import SambaNova

client = SambaNova(
    api_key="api-key",
    base_url="https://api.sambanova.ai/v1",
)

response = client.chat.completions.create(
    model="Qwen3-32B",
    messages=[{"role":"system","content":"You are a helpful assistant"},{"role":"user","content":"Hello"}],
    temperature=0.1,
    top_p=0.1
)

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

 

调用成成功

图片解析

import base64
from sambanova import SambaNova

def image_to_base64(image_path):
    with open(image_path, "rb") as image_file:
        return base64.b64encode(image_file.read()).decode('utf-8')

# 将图片转换为 Base64
base64_image = image_to_base64("d://123.jpg")

client = SambaNova(
    api_key="api-key",
    base_url="https://api.sambanova.ai/v1",
)


response = client.chat.completions.create(
    model="Llama-4-Maverick-17B-128E-Instruct",
    messages=[{"role":"user","content":[{"type":"text","text":"What do you see in this image"},
                                        {"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{base64_image}"}}
                                        ]}],
    temperature=0.1,
    top_p=0.1
)

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

 

结果


The image presents a menu for a Chinese restaurant, featuring a white background with red decorative elements and black text. The menu is divided into two sections: "经典热菜" (Classic Hot Dishes) and another sectionwith the same title.

* **Title Section**
        + Features four Chinese charactersin red circles
        + Two red lanterns on either side of the title
* **Classic Hot Dishes Section1**
        + Lists 16 dishes with their prices
        + Prices rangefrom16to58 yuan
        + Includes images of four dishes
* **Classic Hot Dishes Section2**
        + Lists 16 dishes with their prices
        + Prices rangefrom15to20 yuan
        + Includes images of four dishes

The menu appears to be designed for a Chinese restaurant, with a focus on traditional dishes and prices that are relatively affordable. The useof red decorative elements and black text creates a visually appealing contrast against the white background. Overall, the menu effectively communicates the variety of options available to customers and provides a clear understanding of the pricing structure.

 

相关网址:https://sambanova.ai/  感兴趣的小伙们,可以行动起来了。

转自:https://mp.weixin.qq.com/s/oaU6raRm5TCrbkpwHDEe4w

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