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AWS integration","maintainers":[{"name":"hwchase17","email":"hw.chase.17@gmail.com"},{"name":"jacoblee93","email":"jacoblee93@gmail.com"},{"name":"basproul","email":"braceasproul@gmail.com"},{"name":"eric_langchain","email":"eric@langchain.dev"},{"name":"andrewnguonly","email":"andrewnguonly@gmail.com"},{"name":"nfcampos","email":"nuno@boringbits.io"},{"name":"davidduong","email":"david@duong.cz"},{"name":"maddyadams","email":"madelyn.adams1@gmail.com"},{"name":"sam_noyes","email":"sam@langchain.dev"},{"name":"hntrl","email":"hunter@hntrl.io"}],"readme":"# @langchain/aws\n\nThis package contains the LangChain.js integrations for AWS through their SDK.\n\n## Installation\n\n```bash\nnpm install @langchain/aws\n```\n\nThis package, along with the main LangChain package, depends on [`@langchain/core`](https://npmjs.com/package/@langchain/core/).\nIf you are using this package with other LangChain packages, you should make sure that all of the packages depend on the same instance of @langchain/core.\nYou can do so by adding appropriate fields to your project's `package.json` like this:\n\n```json\n{\n  \"name\": \"your-project\",\n  \"version\": \"0.0.0\",\n  \"dependencies\": {\n    \"@langchain/aws\": \"^0.0.1\",\n    \"@langchain/core\": \"^0.3.0\"\n  },\n  \"resolutions\": {\n    \"@langchain/core\": \"^0.3.0\"\n  },\n  \"overrides\": {\n    \"@langchain/core\": \"^0.3.0\"\n  },\n  \"pnpm\": {\n    \"overrides\": {\n      \"@langchain/core\": \"^0.3.0\"\n    }\n  }\n}\n```\n\nThe field you need depends on the package manager you're using, but we recommend adding a field for the common `yarn`, `npm`, and `pnpm` to maximize compatibility.\n\n## Chat Models\n\nThis package contains the `ChatBedrockConverse` class, which is the recommended way to interface with the AWS Bedrock Converse series of models.\n\nTo use, install the requirements, and configure your environment.\n\n```bash\nexport BEDROCK_AWS_REGION=\nexport BEDROCK_AWS_SECRET_ACCESS_KEY=\nexport BEDROCK_AWS_ACCESS_KEY_ID=\n```\n\nThen initialize\n\n```typescript\nimport { ChatBedrockConverse } from \"@langchain/aws\";\n\nconst model = new ChatBedrockConverse({\n  region: process.env.BEDROCK_AWS_REGION ?? \"us-east-1\",\n  credentials: {\n    secretAccessKey: process.env.BEDROCK_AWS_SECRET_ACCESS_KEY,\n    accessKeyId: process.env.BEDROCK_AWS_ACCESS_KEY_ID,\n  },\n});\n\nconst response = await model.invoke(new HumanMessage(\"Hello world!\"));\n```\n\n### Streaming\n\n```typescript\nimport { ChatBedrockConverse } from \"@langchain/aws\";\n\nconst model = new ChatBedrockConverse({\n  region: process.env.BEDROCK_AWS_REGION ?? \"us-east-1\",\n  credentials: {\n    secretAccessKey: process.env.BEDROCK_AWS_SECRET_ACCESS_KEY,\n    accessKeyId: process.env.BEDROCK_AWS_ACCESS_KEY_ID,\n  },\n});\n\nconst response = await model.stream(new HumanMessage(\"Hello world!\"));\n```\n\n## Development\n\nTo develop the AWS package, you'll need to follow these instructions:\n\n### Install dependencies\n\n```bash\nyarn install\n```\n\n### Build the package\n\n```bash\nyarn build\n```\n\nOr from the repo root:\n\n```bash\nyarn build --filter=@langchain/aws\n```\n\n### Run tests\n\nTest files should live within a `tests/` file in the `src/` folder. Unit tests should end in `.test.ts` and integration tests should\nend in `.int.test.ts`:\n\n```bash\n$ yarn test\n$ yarn test:int\n```\n\n### Lint & Format\n\nRun the linter & formatter to ensure your code is up to standard:\n\n```bash\nyarn lint && yarn format\n```\n\n### Adding new entrypoints\n\nIf you add a new file to be exported, either import & re-export from `src/index.ts`, or add it to the `entrypoints` field in the `config` variable located inside `langchain.config.js` and run `yarn build` to generate the new entrypoint.\n\n## Publishing\n\nAfter running `yarn build`, publish a new version with:\n\n```bash\n$ npm publish\n```","readmeFilename":"README.md"}