{"categories":[{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring"}],"enrichment":{"capability":"Automatically captures traces of VertexAI API calls\u2014prompts, completions, and embeddings\u2014and exports them as OpenTelemetry spans for observability and debugging.","skillfed_tags":["observability","llm-tracing","vertex-ai"],"use_cases":["Debug LLM application behavior by inspecting prompts and completions in a distributed trace viewer.","Monitor VertexAI API latency and error rates across your application using OpenTelemetry backends.","Audit and log all AI API calls for compliance or quality assurance without modifying application code.","Correlate VertexAI calls with other service traces to understand end-to-end request flow.","Reduce trace verbosity by disabling content logging while keeping call metadata and performance metrics."],"what_it_does":"This package is an OpenTelemetry instrumentation plugin that automatically intercepts calls to the official VertexAI library and records them as distributed traces. When you call VertexAI APIs for prompts, completions, or embeddings, the instrumentation captures the request and response data and exports it as OpenTelemetry spans, which can then be sent to any compatible tracing backend.\n\nBy default, the instrumentation logs the full content of prompts, completions, and embeddings into span attributes, giving you visibility into what your LLM application is sending and receiving. This is useful for debugging and evaluating output quality, but you can disable it by setting the TRACELOOP_TRACE_CONTENT environment variable to false if the data contains sensitive user information or if you want to reduce trace size.","worth_installing":"Yes, if you use VertexAI and already have an OpenTelemetry setup or plan to adopt one. The package is actively maintained, has no known vulnerabilities, and integrates seamlessly with the OpenTelemetry ecosystem. Install friction is low. The privacy control via environment variable is a practical feature for production use. No significant blockers."},"id":"opentelemetry-instrumentation-vertexai","links":{"html":"https://skillfed.io/packages/opentelemetry-instrumentation-vertexai","md":"https://skillfed.io/packages/opentelemetry-instrumentation-vertexai.md","pypi":"https://pypi.org/project/opentelemetry-instrumentation-vertexai/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-10","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"opentelemetry-instrumentation-vertexai","python_support":"supports_current","summary":"OpenTelemetry Vertex AI instrumentation"},"popularity":{"monthly_downloads":7497712,"position":1734,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.62.3"}