以编程方式使用文档

LangChain 与 PromptLayer 集成,用于记录和调试提示词及响应。要添加 PromptLayer 支持:

  1. 在此创建 PromptLayer 账户: https://promptlayer.com.
  2. 创建 API 令牌并将其作为 promptLayerApiKey 构造函数中的 PromptLayerOpenAI 参数传递,或作为 PROMPTLAYER_API_KEY 环境变量。
const model = new PromptLayerOpenAI({
  temperature: 0.9,
  apiKey: "YOUR-API-KEY", // In Node.js defaults to process.env.OPENAI_API_KEY
  promptLayerApiKey: "YOUR-API-KEY", // In Node.js defaults to process.env.PROMPTLAYER_API_KEY
});
const res = await model.invoke(
  "What would be a good company name a company that makes colorful socks?"
);

Azure PromptLayerOpenAI

LangChain 还与 PromptLayer 集成,用于 Azure 托管的 OpenAI 实例:

const model = new PromptLayerOpenAI({
  temperature: 0.9,
  azureOpenAIApiKey: "YOUR-AOAI-API-KEY", // In Node.js defaults to process.env.AZURE_OPENAI_API_KEY
  azureOpenAIApiInstanceName: "YOUR-AOAI-INSTANCE-NAME", // In Node.js defaults to process.env.AZURE_OPENAI_API_INSTANCE_NAME
  azureOpenAIApiDeploymentName: "YOUR-AOAI-DEPLOYMENT-NAME", // In Node.js defaults to process.env.AZURE_OPENAI_API_DEPLOYMENT_NAME
  azureOpenAIApiCompletionsDeploymentName:
    "YOUR-AOAI-COMPLETIONS-DEPLOYMENT-NAME", // In Node.js defaults to process.env.AZURE_OPENAI_API_COMPLETIONS_DEPLOYMENT_NAME
  azureOpenAIApiEmbeddingsDeploymentName:
    "YOUR-AOAI-EMBEDDINGS-DEPLOYMENT-NAME", // In Node.js defaults to process.env.AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME
  azureOpenAIApiVersion: "YOUR-AOAI-API-VERSION", // In Node.js defaults to process.env.AZURE_OPENAI_API_VERSION
  azureOpenAIBasePath: "YOUR-AZURE-OPENAI-BASE-PATH", // In Node.js defaults to process.env.AZURE_OPENAI_BASE_PATH
  promptLayerApiKey: "YOUR-API-KEY", // In Node.js defaults to process.env.PROMPTLAYER_API_KEY
});
const res = await model.invoke(
  "What would be a good company name a company that makes colorful socks?"
);

请求和响应将被记录在 PromptLayer 仪表板.

> **_Note:_** 在流式传输模式下,PromptLayer 不会记录响应。

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