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-ai/langchainjs/issues"},"author":{"name":"LangChain"},"license":"MIT","homepage":"https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-anthropic/","keywords":["llm","ai","gpt3","chain","prompt","prompt engineering","chatgpt","machine learning","ml","anthropic","embeddings","vectorstores"],"repository":{"type":"git","url":"git+ssh://git@github.com/langchain-ai/langchainjs.git"},"description":"Anthropic integrations for LangChain.js","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/anthropic\n\nThis package contains the LangChain.js integrations for Anthropic through their SDK.\n\n## Installation\n\n```bash npm2yarn\nnpm install @langchain/anthropic @langchain/core\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/anthropic\": \"^0.0.9\",\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 `ChatAnthropic` class, which is the recommended way to interface with the Anthropic series of models.\n\nTo use, install the requirements, and configure your environment.\n\n```bash\nexport ANTHROPIC_API_KEY=your-api-key\n```\n\nThen initialize\n\n```typescript\nimport { ChatAnthropic } from \"@langchain/anthropic\";\n\nconst model = new ChatAnthropic({\n  apiKey: process.env.ANTHROPIC_API_KEY,\n});\nconst response = await model.invoke({\n  role: \"user\",\n  content: \"Hello world!\",\n});\n```\n\n### Streaming\n\n```typescript\nimport { ChatAnthropic } from \"@langchain/anthropic\";\n\nconst model = new ChatAnthropic({\n  apiKey: process.env.ANTHROPIC_API_KEY,\n  model: \"claude-3-sonnet-20240229\",\n});\nconst response = await model.stream({\n  role: \"user\",\n  content: \"Hello world!\",\n});\n```\n\n## Development\n\nTo develop the Anthropic 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/anthropic\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```\n","readmeFilename":"README.md"}