ChatBedrockConverse 集成

export BEDROCK_AWS_REGION="us-east-1"
export BEDROCK_AWS_ACCESS_KEY_ID="your-access-key-id"
export BEDROCK_AWS_SECRET_ACCESS_KEY="your-secret-access-key"

# export LANGSMITH_TRACING="true"
# export LANGSMITH_API_KEY="your-api-key"

import { ChatBedrockConverse } from "@langchain/aws";

const llm = new ChatBedrockConverse({
  model: "us.anthropic.claude-sonnet-4-6",
  region: process.env.BEDROCK_AWS_REGION,
  credentials: {
    accessKeyId: process.env.BEDROCK_AWS_ACCESS_KEY_ID!,
    secretAccessKey: process.env.BEDROCK_AWS_SECRET_ACCESS_KEY!,
  },
});

const aiMsg = await llm.invoke([
  [
    "system",
    "您是一个有用的助手，可以将英语翻译成法语。请翻译用户的句子。",
  ],
  ["human", "I love programming."],
])
aiMsg

AIMessage {
  "id": "f5dc5791-224e-4fe5-ba2e-4cc51d9e7795",
  "content": "J'adore la programmation.",
  "additional_kwargs": {},
  "response_metadata": {
    "$metadata": {
      "httpStatusCode": 200,
      "requestId": "f5dc5791-224e-4fe5-ba2e-4cc51d9e7795",
      "attempts": 1,
      "totalRetryDelay": 0
    },
    "metrics": {
      "latencyMs": 584
    },
    "stopReason": "end_turn",
    "usage": {
      "inputTokens": 29,
      "outputTokens": 11,
      "totalTokens": 40
    }
  },
  "tool_calls": [],
  "invalid_tool_calls": [],
  "usage_metadata": {
    "input_tokens": 29,
    "output_tokens": 11,
    "total_tokens": 40
  }
}

console.log(aiMsg.content)

J'adore la programmation.