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@langchain/deepseek
Advanced tools
This package contains the LangChain.js integrations for DeepSeek.
npm install @langchain/deepseek @langchain/core
This package adds support for DeepSeek's chat model inference.
Set the necessary environment variable (or pass it in via the constructor):
export DEEPSEEK_API_KEY=
import { ChatDeepSeek } from "@langchain/deepseek";
import { HumanMessage } from "@langchain/core/messages";
const model = new ChatDeepSeek({
apiKey: process.env.DEEPSEEK_API_KEY, // Default value.
model: "<model_name>",
});
const res = await model.invoke([
{
role: "user",
content: message,
},
]);
To develop the @langchain/deepseek package, you'll need to follow these instructions:
pnpm install
pnpm build
Or from the repo root:
pnpm build --filter @langchain/deepseek
Test files should live within a tests/ file in the src/ folder. Unit tests should end in .test.ts and integration tests should
end in .int.test.ts:
$ pnpm test
$ pnpm test:int
Run the linter & formatter to ensure your code is up to standard:
pnpm lint && pnpm format
If you add a new file to be exported, either import & re-export from src/index.ts, or add it to the exports field in the package.json file and run pnpm build to generate the new entrypoint.
FAQs
Deepseek integration for LangChain.js
The npm package @langchain/deepseek receives a total of 18,344 weekly downloads. As such, @langchain/deepseek popularity was classified as popular.
We found that @langchain/deepseek demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 12 open source maintainers collaborating on the project.
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