OpenAI compatibility· Ollama Blog

OpenAI compatibility

Ollama现在内置兼容OpenAI 聊天完成API，使您可以将更多工具和应用程序与本地Ollama一起使用。

设置

ollama pull llama2

用法

cURL

要调用Ollama的OpenAI兼容API端点，请使用相同的OpenAI格式并将主机名更改为https://127.0.0.1:11434

curl https://127.0.0.1:11434/v1/chat/completions \
    -H "Content-Type: application/json" \
    -d '{
        "model": "llama2",
        "messages": [
            {
                "role": "system",
                "content": "You are a helpful assistant."
            },
            {
                "role": "user",
                "content": "Hello!"
            }
        ]
    }'

OpenAI Python库

from openai import OpenAI

client = OpenAI(
    base_url = 'https://127.0.0.1:11434/v1',
    api_key='ollama', # required, but unused
)

response = client.chat.completions.create(
  model="llama2",
  messages=[
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Who won the world series in 2020?"},
    {"role": "assistant", "content": "The LA Dodgers won in 2020."},
    {"role": "user", "content": "Where was it played?"}
  ]
)
print(response.choices[0].message.content)

OpenAI JavaScript库

import OpenAI from 'openai'

const openai = new OpenAI({
  baseURL: 'https://127.0.0.1:11434/v1',
  apiKey: 'ollama', // required but unused
})

const completion = await openai.chat.completions.create({
  model: 'llama2',
  messages: [{ role: 'user', content: 'Why is the sky blue?' }],
})

console.log(completion.choices[0].message.content)

示例

Vercel AI SDK

该Vercel AI SDK是一个用于构建会话流应用程序的开源库。要开始使用，请使用create-next-app克隆示例仓库。

npx create-next-app --example https://github.com/vercel/ai/tree/main/examples/next-openai example
cd example

然后在app/api/chat/route.ts中进行以下两个编辑，以更新聊天示例以使用Ollama。

const openai = new OpenAI({
  baseURL: 'https://127.0.0.1:11434/v1',
  apiKey: 'ollama',
});

const response = await openai.chat.completions.create({
  model: 'llama2',
  stream: true,
  messages,
});

接下来，运行应用程序。

npm run dev

最后，在浏览器中打开示例应用程序，地址为https://127.0.0.1:3000

Autogen

Autogen是微软的一个流行的开源框架，用于构建多代理应用程序。在此示例中，我们将使用Code Llama模型。

ollama pull codellama

安装Autogen

pip install pyautogen

然后创建一个Python脚本example.py以将Ollama与Autogen一起使用。

from autogen import AssistantAgent, UserProxyAgent

config_list = [
  {
    "model": "codellama",
    "base_url": "https://127.0.0.1:11434/v1",
    "api_key": "ollama",
  }
]

assistant = AssistantAgent("assistant", llm_config={"config_list": config_list})

user_proxy = UserProxyAgent("user_proxy", code_execution_config={"work_dir": "coding", "use_docker": False})
user_proxy.initiate_chat(assistant, message="Plot a chart of NVDA and TESLA stock price change YTD.")

最后，运行该示例以让助手编写绘制图表代码。

python example.py

OpenAI兼容性

2024年2月8日

设置

用法

cURL

OpenAI Python库

OpenAI JavaScript库

示例

Vercel AI SDK

Autogen

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