PromptyとVS Codeでプロンプトエンジニアリングの効率を爆上げしよう！

pip install prompty

---
name: ExamplePrompt
description: A prompt that uses context to ground an incoming question
authors:
  - Seth Juarez
model:
  api: chat
  configuration:
    type: azure_openai
    azure_endpoint: ${env:AZURE_OPENAI_ENDPOINT}
    azure_deployment: <your-deployment>
  parameters:
    max_tokens: 3000
sample:
  firstName: Seth
  context: >
    The Alpine Explorer Tent boasts a detachable divider for privacy, 
    numerous mesh windows and adjustable vents for ventilation, and 
    a waterproof design. It even has a built-in gear loft for storing 
    your outdoor essentials. In short, it's a blend of privacy, comfort, 
    and convenience, making it your second home in the heart of nature!
  question: What can you tell me about your tents?
---

system:
You are an AI assistant who helps people find information. As the assistant, 
you answer questions briefly, succinctly, and in a personable manner using 
markdown and even add some personal flair with appropriate emojis.

# Customer
You are helping {{firstName}} to find answers to their questions.
Use their name to address them in your responses.

# Context
Use the following context to provide a more personalized response to {{firstName}}:
{{context}}

user:
{{question}}

model:
  api: chat
  configuration:
    type: azure_openai
    azure_endpoint: ${env:AZURE_OPENAI_ENDPOINT}
    azure_deployment: <your-deployment>
  parameters:
    max_tokens: 3000

{
  "prompty.modelConfigurations": [
    {
      "name": "default",
      "type": "azure_openai",
      "api_version": "2023-12-01-preview",
      "azure_endpoint": "${env:AZURE_OPENAI_ENDPOINT}",
      "azure_deployment": "",
      "api_key": "${env:AZURE_OPENAI_API_KEY}"
    },
    {
      "name": "gpt-3.5-turbo",
      "type": "openai",
      "api_key": "${env:OPENAI_API_KEY}",
      "organization": "${env:OPENAI_ORG_ID}",
      "base_url": "${env:OPENAI_BASE_URL}"
    }
  ]
}

AZURE_OPENAI_API_KEY=YOUR_AZURE_OPENAI_API_KEY
AZURE_OPENAI_ENDPOINT=YOUR_AZURE_OPENAI_ENDPOINT
AZURE_OPENAI_API_VERSION=YOUR_AZURE_OPENAI_API_VERSION

inputs:
  firstName:
    type: str
    description: The first name of the person asking the question.
  context:
    type: str
    description: The context or description of the item or topic being discussed.
  question:
    type: str
    description: The specific question being asked.

from promptflow.core import Prompty, AzureOpenAIModelConfiguration

# AzureOpenAIModelConfiguration を使って Prompty をロードするための設定を行う
configuration = AzureOpenAIModelConfiguration(
    azure_deployment="gpt-4o",  # Azure OpenAI のデプロイメント名を指定
    api_key="${env:AZURE_OPENAI_API_KEY}",  # APIキーを環境変数から取得
    api_version="${env:AZURE_OPENAI_API_VERSION}",  # APIバージョンを環境変数から取得
    azure_endpoint="${env:AZURE_OPENAI_ENDPOINT}",  # Azureエンドポイントを環境変数から取得
)

# モデルのパラメータを上書きするための設定を行う
# サンプルとしてmax_tokensを上書きしています
override_model = {"configuration": configuration, "max_tokens": 2048}

# 上書きされたモデル設定を使ってPromptyをロード
prompty = Prompty.load(
    source="to_your_prompty_file_path",  # 使用するPromptyファイルを指定
    model=override_model  # 上書きされたモデル設定を適用
)

# promptyを実行
result = prompty(
    firstName=first_name, context=context, question=question
)  # 与えられたテキストを元にPromptyを実行し結果を取得