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instrumentation for OpenAI","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 OpenAI Node.js SDK\n\n[![npm version](https://badge.fury.io/js/@arizeai%2Fopeninference-instrumentation-openai.svg)](https://badge.fury.io/js/@arizeai%2Fopeninference-instrumentation-openai)\n\nThis module provides automatic instrumentation for the [OpenAI Node.js SDK](https://github.com/openai/openai-node) 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-openai\n```\n\n## Usage\n\nTo load the OpenAI instrumentation, specify it in the registerInstrumentations call along with any additional instrumentation you wish to enable.\n\n```typescript\nconst { NodeTracerProvider } = require(\"@opentelemetry/sdk-trace-node\");\nconst { OpenAIInstrumentation } = require(\"@arizeai/openinference-instrumentation-openai\");\nconst { registerInstrumentations } = require(\"@opentelemetry/instrumentation\");\n\nconst provider = new NodeTracerProvider();\nprovider.register();\n\nregisterInstrumentations({\n  instrumentations: [new OpenAIInstrumentation()],\n});\n```\n\n## Examples\n\nTo run an example, run the following commands:\n\n```shell\ncd js/packages/openinference-instrumentation-openai\npnpm install\npnpm -r build\nnpx -y tsx examples/chat.ts # or responses.ts, embed.ts, etc\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 OpenAI 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 { OpenAIInstrumentation } from \"@arizeai/openinference-instrumentation-openai\";\nimport { registerInstrumentations } from \"@opentelemetry/instrumentation\";\n\n// Create a custom tracer provider\nconst customTracerProvider = new NodeTracerProvider({\n  resource: new Resource({\n    [SEMRESATTRS_PROJECT_NAME]: \"my-openai-project\",\n  }),\n});\n\n// Pass the custom tracer provider to the instrumentation\nconst openaiInstrumentation = new OpenAIInstrumentation({\n  tracerProvider: customTracerProvider,\n});\n\n// Register the instrumentation with the custom tracer provider\nregisterInstrumentations({\n  instrumentations: [openaiInstrumentation],\n  tracerProvider: customTracerProvider,\n});\n```\n\nAlternatively, you can set the tracer provider after creating the instrumentation:\n\n```typescript\nconst openaiInstrumentation = new OpenAIInstrumentation();\nopenaiInstrumentation.setTracerProvider(customTracerProvider);\n```\n\n## Compatibility\n\n`@arizeai/openinference-instrumentation-openai` is compatible with the following versions of the `openai` package:\n\n| OpenAI Version | OpenInference Instrumentation Version |\n| -------------- | ------------------------------------- |\n| ^6.0.0         | ^4.0.0                                |\n| ^5.0.0         | ^3.0.0                                |\n| ^4.0.0         | ^2.0.0                                |\n\n## Prompt cache token counts\n\nOpenAI cache reads (`cached_tokens`) and writes (`cache_write_tokens`) are recorded as\n`llm.token_count.prompt_details.cache_read` and `cache_write`. See the\n[semantic conventions](https://github.com/Arize-ai/openinference/blob/main/spec/semantic_conventions.md#token-count-details) for how these sub-counts relate to the prompt total, and the\n[cache token example](https://github.com/Arize-ai/openinference/blob/main/python/instrumentation/openinference-instrumentation-openai/examples/cache_tokens.md) for a Phoenix round trip.\n","readmeFilename":"README.md"}