ChatGPT/API/dotnet

dotnet[edit]

• for OpenAI v2.x
• https://github.com/openai/openai-dotnet

Programming[edit]

Project の作成[edit]

dotnet new console -o Net8 -f net8.0
cd Net8
dotnet add package OpenAI
vi Program.cs
dotnet run

Sample[edit]

• https://github.com/openai/openai-dotnet

基本[edit]

using OpenAI.Chat;

ChatClient client = new(model: "gpt-4o-mini", apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY"));
//ChatClient client = new(model: "gpt-4o-mini", apiKey: "sk-........");

ChatCompletion completion = client.CompleteChat("こんにちは");
Console.WriteLine($"[ASSISTANT]: {completion.Content[0].Text}");

非同期によるチャット補完[edit]

using static System.Console;
using System.ClientModel;   // for CollectionResult
using OpenAI;
using OpenAI.Chat;

ChatClient client = new(model: "gpt-4o-mini", apiKey: "sk-.....");

CollectionResult<StreamingChatCompletionUpdate> completionUpdates = client.CompleteChatStreaming("Hello World");
foreach (StreamingChatCompletionUpdate completionUpdate in completionUpdates) {
   if (completionUpdate.ContentUpdate.Count > 0) {
       Console.Write(completionUpdate.ContentUpdate[0].Text);
   }
}

構造化された出力によるチャット補完[edit]

dotnet add package System.Text.Json
dotnet list package

using static System.Console;
using System.ClientModel;   // for CollectionResult
using OpenAI;
using OpenAI.Chat;
using System.Text.Json;

ChatClient client = new(model: "gpt-4o-mini", apiKey: "sk-....");

List<ChatMessage> messages =
[
   new UserChatMessage("How can I solve 8x + 7 = -23?"),
];

ChatCompletionOptions options = new()
{
   ResponseFormat = ChatResponseFormat.CreateJsonSchemaFormat(
       jsonSchemaFormatName: "math_reasoning",
       jsonSchema: BinaryData.FromBytes("""
           {
               "type": "object",
               "properties": {
               "steps": {
                   "type": "array",
                   "items": {
                   "type": "object",
                   "properties": {
                       "explanation": { "type": "string" },
                       "output": { "type": "string" }
                   },
                   "required": ["explanation", "output"],
                   "additionalProperties": false
                   }
               },
               "final_answer": { "type": "string" }
               },
               "required": ["steps", "final_answer"],
               "additionalProperties": false
           }
           """u8.ToArray()),
       jsonSchemaIsStrict: true)
};

ChatCompletion completion = client.CompleteChat(messages, options);

using JsonDocument structuredJson = JsonDocument.Parse(completion.Content[0].Text);

Console.WriteLine($"Final answer: {structuredJson.RootElement.GetProperty("final_answer")}");
Console.WriteLine("Reasoning steps:");

foreach (JsonElement stepElement in structuredJson.RootElement.GetProperty("steps").EnumerateArray())
{
   Console.WriteLine($"  - Explanation: {stepElement.GetProperty("explanation")}");
   Console.WriteLine($"    Output: {stepElement.GetProperty("output")}");
}

最新の30件

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