MCPを使いローカルサーバーで立てたLM Studioへアクセスしてみる。【Python,C#】

{
  "data": [
    {
      "id": "openai/gpt-oss-20b",
      "object": "model",
      "owned_by": "organization_owner"
    },
    {
      "id": "text-embedding-nomic-embed-text-v1.5",
      "object": "model",
      "owned_by": "organization_owner"
    }
  ],
  "object": "list"
}

pip install OpenAI

# pip install openai
from openai import OpenAI

# LM Studio はAPIキー不要ですが、クライアントが必須の場合はダミー文字列でOK
client = OpenAI(base_url="http://localhost:1234/v1", api_key="lm-studio")

# Chat Completions
resp = client.chat.completions.create(
    model="gpt-oss-20b",  # LM Studioで起動したモデル名
    messages=[{"role": "user", "content": "テストで自己紹介して"}],
    temperature=0.7,
)
print(resp.choices[0].message.content)

# Embeddings（対応モデルを使う）
emb = client.embeddings.create(
    model="nomic-embed-text", 
    input="埋め込みを取りたいテキスト"
)
print(len(emb.data[0].embedding))

PS J:\py> python mcp_sample.py
こんにちは！  
私はOpenAIが開発した言語モデル「ChatGPT（GPT‑4）」です。

- **役割**：質問に答えたり、文章を作成したり、アイデアのブレインストーミングや学習サポートなど、幅広いテキストベースのタスクをお手伝いします。
- **特徴**：膨大なテキストデータで学習しているので、さまざまなトピックについて自然な会話ができます。ただし、リアルタイムの情報は持っていないので、最新のニュースや特定の個人情報には対応できません。
- **使い方**：質問を入力するだけで、答えや提案・説明などを返します。日本語でも英語でもほぼ同じレベルで応対できます。

何か知りたいことや手伝って欲しいことがあれば、気軽に聞いてくださいね！
768

dotnet add package OpenAI

<Project Sdk="Microsoft.NET.Sdk">

  <PropertyGroup>
    <OutputType>Exe</OutputType>
    <TargetFramework>net8.0</TargetFramework>
    <ImplicitUsings>enable</ImplicitUsings>
    <Nullable>enable</Nullable>
  </PropertyGroup>

  <ItemGroup>
    <PackageReference Include="OpenAI" Version="2.5.0" />
  </ItemGroup>

</Project>

// dotnet add package OpenAI
using System;
using OpenAI;
using OpenAI.Chat;
using System.ClientModel; // ApiKeyCredential

class Program
{
    static void Main()
    {
        // LM Studio 用（OpenAI互換API）
        var endpoint = new Uri("http://localhost:1234/v1");
        var credential = new ApiKeyCredential("lm-studio");
        var options = new OpenAIClientOptions { Endpoint = endpoint };

        var client = new ChatClient(
            model: "gpt-oss-20b",
            credential: credential,
            options: options
        );

        // 会話送信
        var result = client.CompleteChat("こんにちは！自己紹介して");
        var content = result.Value.Content[0].Text;

        Console.WriteLine(content);
    }
}

PS J:\csharp\console\MCPSample01> dotnet run
こんにちは！  
私はChatGPT、OpenAIが開発した大規模言語モデルです。日本語をはじめとする多くの言語で会話ができ、質問に答えた り、文章を書いたり、アイデアを出したりといろんなサポートができます。まだ「個人的な経験」や感情は持っていませんが、皆さんのお役に立てるよう日々学び続けています。何か聞きたいことや相談したいことがあれば、ぜひ教えてくださいね！

using System;
using OpenAI;
using OpenAI.Embeddings;
using System.ClientModel; // ApiKeyCredential

class Program
{
    static void Main()
    {
        // LM Studio のローカル API サーバー設定
        var endpoint = new Uri("http://localhost:1234/v1");
        var credential = new ApiKeyCredential("lm-studio");
        var options = new OpenAIClientOptions { Endpoint = endpoint };

        // EmbeddingsClient を作成
        var embedClient = new OpenAI.Embeddings.EmbeddingClient(
            model: "nomic-embed-text-v1.5",   // LM Studio で起動中の埋め込みモデル名
            credential: credential,
            options: options
        );

        // 例: 1 文を埋め込みに変換
        var result = embedClient.GenerateEmbedding("埋め込みを取りたいテキスト");

        ReadOnlyMemory<float> vector = result.Value.ToFloats();
        Console.WriteLine($"Embeddings: [{string.Join(", ", vector.ToArray())}]");
    }
}

PS J:\csharp\console\MCPSample01> dotnet run
Embeddings: [0.043835755, 0.056792505, -0.15037978, 0.019975562, -0.015564927, -0.025705187, -0.00073462434, -0.042660233, -0.027092138, 0.01866094, -0.05635417, -0.049046226, -0.028958574, 0.037907574, 0.0047005597, -0.040786948, 0.017513124, -0.062054034, -0.050633382, 0.027921043, -0.0043201754, 0.008566015, -0.07035987, -0.018121611, 0.06117353, -0.0030513015, 0.04197316, 0.024415849, 0.017412368, -0.015623202, -0.020070793, -0.06473138, 0.015298363, -0.028627636, -0.012430691, -0.025781114, 0.06582428, 0.05624838, -0.0054762918, -0.029682012, -0.03849815, -0.04509343, -0.003087766, -0.014807141, 0.044912342, 0.021737633, -0.009077967, -0.033644922, 0.035271116, -0.0038458107, 0.009929091, 0.004978326, -0.025936777, -0.026776487, 0.01569168, -0.01167113, 0.015426576, -0.02965397, 0.0107630575, -0.044369318, -0.010100684, 0.051632408, -0.0045458004, 0.035873793, 0.0032016097, -0.035619527, -0.036859587, 0.07990597, 0.044125237, -0.018870495, 0.03960288, 0.00037037986, 0.046510335, 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