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implementation of MLflow Tracing SDK for LLM observability","maintainers":[{"name":"yuki_watanabe","email":"yuki.watanabe@databricks.com"}],"readme":"# MLflow Typescript SDK - Core\n\nThis is the core package of the [MLflow Typescript SDK](https://github.com/mlflow/mlflow/tree/main/libs/typescript). It is a skinny package that includes the core tracing functionality and manual instrumentation.\n\n| Package              | NPM                                                                                                                           | Description                                                |\n| -------------------- | ----------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------- |\n| [mlflow-tracing](./) | [![npm package](https://img.shields.io/npm/v/mlflow-tracing?style=flat-square)](https://www.npmjs.com/package/mlflow-tracing) | The core tracing functionality and manual instrumentation. |\n\n## Installation\n\n```bash\nnpm install mlflow-tracing\n```\n\n## Quickstart\n\nStart MLflow Tracking Server. If you have a local Python environment, you can run the following command:\n\n```bash\npip install mlflow\nmlflow server --backend-store-uri sqlite:///mlruns.db --port 5000\n```\n\nIf you don't have Python environment locally, MLflow also supports Docker deployment or managed services. See [Self-Hosting Guide](https://mlflow.org/docs/latest/self-hosting/index.html) for getting started.\n\nInstantiate MLflow SDK in your application:\n\n```typescript\nimport * as mlflow from 'mlflow-tracing';\n\nmlflow.init({\n  trackingUri: 'http://localhost:5000',\n  experimentId: '<experiment-id>',\n});\n```\n\nCreate a trace:\n\n```typescript\n// Wrap a function with mlflow.trace to generate a span when the function is called.\n// MLflow will automatically record the function name, arguments, return value,\n// latency, and exception information to the span.\nconst getWeather = mlflow.trace(\n  (city: string) => {\n    return `The weather in ${city} is sunny`;\n  },\n  // Pass options to set span name. See https://mlflow.org/docs/latest/genai/tracing/quickstart\n  // for the full list of options.\n  { name: 'get-weather' },\n);\ngetWeather('San Francisco');\n\n// Alternatively, start and end span manually\nconst span = mlflow.startSpan({ name: 'my-span' });\nspan.end();\n```\n\n## Documentation 📘\n\nOfficial documentation for MLflow Typescript SDK can be found [here](https://mlflow.org/docs/latest/genai/tracing/quickstart).\n\n## License\n\nThis project is licensed under the [Apache License 2.0](https://github.com/mlflow/mlflow/blob/master/LICENSE.txt).\n","readmeFilename":"README.md"}