{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/12"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/5"},{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring/3"},{"label":"Logging","url":"https://skillfed.io/packages/category/system-logging"}],"enrichment":{"capability":"Wraps OpenTelemetry with Arize-aware defaults to instrument and send LLM application traces to Arize or custom OTLP endpoints.","skillfed_tags":["llm-observability","opentelemetry","tracing"],"use_cases":["Instrument an OpenAI or LangChain application and send traces to Arize for LLM observability without writing OTEL boilerplate.","Route traces from a single application to multiple Arize spaces or projects dynamically using register_with_routing.","Send traces to a custom OTLP collector (on-premise or third-party) by specifying a custom endpoint and transport type.","Debug trace collection during development by enabling console logging and disabling batch processing.","Enrich spans with custom processors before export by passing span_processors to register().","Set up tracing via environment variables instead of code for containerized or cloud-deployed LLM applications."],"what_it_does":"arize-otel is a convenience wrapper around OpenTelemetry that simplifies setup for tracing LLM applications and sending traces to Arize or custom OTLP endpoints. It provides a high-level `register()` function that returns a configured TracerProvider, handling authentication, endpoint configuration, span batching, and Arize-specific headers in one call. The package can automatically discover and instrument installed OpenInference instrumentors (for libraries like OpenAI, LangChain, etc.) or work with custom span processors that enrich traces before export.\n\nThe package is designed as a lightweight convenience layer\u2014you can use raw OpenTelemetry primitives instead if needed, but arize-otel eliminates boilerplate for the common case of instrumenting an LLM application and routing traces to Arize. It supports both Arize's standard and European endpoints, custom GRPC or HTTP collectors, environment variable configuration, and options to disable batch processing or log spans to console for debugging.","worth_installing":"Yes. The package is actively maintained, has no known vulnerabilities, low install friction, and a permissive license. It genuinely simplifies OpenTelemetry setup for LLM tracing to Arize\u2014a common workflow. Install it if you're already using Arize or a compatible OTLP collector and want to avoid writing OTEL configuration boilerplate; skip it if you need raw OpenTelemetry control or are not sending traces to Arize."},"id":"arize-otel","links":{"html":"https://skillfed.io/packages/arize-otel","md":"https://skillfed.io/packages/arize-otel.md","pypi":"https://pypi.org/project/arize-otel/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-05-27","license_spdx":null,"license_treatment":"permissive","name":"arize-otel","python_support":"supports_current","summary":"Helper package for OTEL setup to send traces to Arize & Phoenix"},"popularity":{"monthly_downloads":404799,"position":6911,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.13.0"}