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Instrumentation for LangChain.js","maintainers":[{"name":"mikeldking","email":"mikeldking@gmail.com"},{"name":"parker-stafford","email":"parker.stafford92@gmail.com"},{"name":"remiarize","email":"remi@arize.com"},{"name":"cephalization","email":"powell.anthonyd@proton.me"},{"name":"jackyxcs","email":"jacky@arize.com"}],"readme":"# OpenInference Instrumentation for LangChain.js\n\nThis module provides automatic instrumentation for [LangChain.js](https://github.com/langchain-ai/langchainjs). which may be used in conjunction with [@opentelemetry/sdk-trace-node](https://github.com/open-telemetry/opentelemetry-js/tree/main/packages/opentelemetry-sdk-trace-node).\n\n## Installation\n\n```shell\nnpm install --save @arizeai/openinference-instrumentation-langchain\n```\n\n## Usage\n\nTo load the Langchain instrumentation, manually instrument the `@langchain/core/callbacks/manager` module. The callbacks manager must be manually instrumented due to the non-traditional module structure in `@langchain/core`. Additional instrumentations can be registered as usual using the `registerInstrumentations` function.\n\n```typescript\nimport { NodeTracerProvider } from \"@opentelemetry/sdk-trace-node\";\nimport { LangChainInstrumentation } from \"@arizeai/openinference-instrumentation-langchain\";\nimport * as CallbackManagerModule from \"@langchain/core/callbacks/manager\";\n\nconst provider = new NodeTracerProvider();\nprovider.register();\n\nconst lcInstrumentation = new LangChainInstrumentation();\n// LangChain must be manually instrumented as it doesn't have a traditional module structure\nlcInstrumentation.manuallyInstrument(CallbackManagerModule);\n```\n\nFor more information on OpenTelemetry Node.js SDK, see the [OpenTelemetry Node.js SDK documentation](https://opentelemetry.io/docs/instrumentation/js/getting-started/nodejs/).\n\n## Using a Custom Tracer Provider\n\nYou can specify a custom tracer provider when creating the LangChain instrumentation. This is useful when you want to use a non-global tracer provider or have more control over the tracing configuration.\n\n```typescript\nimport { NodeTracerProvider } from \"@opentelemetry/sdk-trace-node\";\nimport { Resource } from \"@opentelemetry/resources\";\nimport { SEMRESATTRS_PROJECT_NAME } from \"@arizeai/openinference-semantic-conventions\";\nimport { LangChainInstrumentation } from \"@arizeai/openinference-instrumentation-langchain\";\nimport * as CallbackManagerModule from \"@langchain/core/callbacks/manager\";\n\n// Create a custom tracer provider\nconst customTracerProvider = new NodeTracerProvider({\n  resource: new Resource({\n    [SEMRESATTRS_PROJECT_NAME]: \"my-langchain-project\",\n  }),\n});\n\n// Pass the custom tracer provider to the instrumentation\nconst lcInstrumentation = new LangChainInstrumentation({\n  tracerProvider: customTracerProvider,\n});\n\n// Manually instrument the LangChain module\nlcInstrumentation.manuallyInstrument(CallbackManagerModule);\n```\n\nAlternatively, you can set the tracer provider after creating the instrumentation:\n\n```typescript\nconst lcInstrumentation = new LangChainInstrumentation();\nlcInstrumentation.setTracerProvider(customTracerProvider);\n```\n\n## Compatibility\n\n| @langchain/core Version | @arizeai/openinference-instrumentation-langchain Version |\n| ----------------------- | -------------------------------------------------------- |\n| ^1.0.0                  | ^4.0.0                                                   |\n| ^0.3.0                  | ^4.0.0                                                   |\n\nThis package is only tested against the 1.X versions of `@langchain/core`. Older versions may work but are not officially supported. For full compatibility for the 0.X versions of LangChain.js, a dedicated package called `openinference-instrumentation-langchain-v0` is available.\n\n## Deprecations\n\nLangChain v0.1 was deprecated on 2025-03-02 due to security vulnerabilities in the core package.\n","readmeFilename":"README.md"}