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opentelemetry-instrumentation-milvus

OpenTelemetry Milvus instrumentation

With conditionsPyPI MonitoringReleased Aug 20267.5M downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — opentelemetry_instrumentation_milvus-0.62.3-py3-none-any.whl
v0.62.3 · released 2026-08-10 · Python <4,>=3.10 · 4 runtime deps: opentelemetry-api, opentelemetry-instrumentation, opentelemetry-semantic-conventions-ai, opentelemetry-semantic-conventions

Yes, if you are already using OpenTelemetry and the official Milvus library. The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it a straightforward addition to observability-instrumented applications. Skip it if you are not using OpenTelemetry or do not need tracing on Milvus calls.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later.
  • Low install friction with a pure-Python wheel and four lightweight OpenTelemetry dependencies.
  • Actively maintained with a recent release.

License · maintenance · safety

Apache-2.0 (permissive) — Apache-2.0 is permissive; you can use this in commercial and proprietary projects without restriction.

last release 2026-08-10 (4 days) · last repo commit 2026-08-10 · 7,377 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 7,505,827 downloads/mo, #1,732 on PyPI

Verify before relying

pip install opentelemetry-instrumentation-milvus

from opentelemetry.instrumentation.milvus import MilvusInstrumentor

MilvusInstrumentor().instrument()
  • Whether this instrumentation works with all versions of the official Milvus library or has specific version constraints.
  • What specific trace attributes and spans are captured for Milvus operations.
  • Whether additional configuration is needed beyond calling instrument() to export traces to a backend.
Same gist for agents: .md · .json

What it is and what it does

This package is an OpenTelemetry instrumentation plugin that automatically captures tracing data from Milvus vector database client calls. It integrates with the official Milvus library to emit spans and metrics that can be exported to observability backends for monitoring, debugging, and performance analysis.

Once installed and initialized with a single call to MilvusInstrumentor().instrument(), it transparently traces all Milvus operations without requiring changes to your application code. It depends on the core OpenTelemetry API and semantic conventions to ensure traces are compatible with standard observability platforms.

Use it for

  • Monitor Milvus query latency and performance in production systems.
  • Debug slow or failing vector database operations by examining detailed trace spans.
  • Correlate Milvus calls with other distributed system traces for end-to-end observability.
  • Collect metrics on Milvus client behavior for capacity planning and optimization.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you are already using OpenTelemetry and the official Milvus library.

The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it a straightforward addition to observability-instrumented applications. Skip it if you are not using OpenTelemetry or do not need tracing on Milvus calls.

Install

opentelemetry-instrumentation-milvus on PyPI

Before you install

Low install friction with a pure-Python wheel and four lightweight OpenTelemetry dependencies. Actively maintained with a recent release.

Requires Python 3.10 or later.

License in practice

Apache-2.0 is permissive; you can use this in commercial and proprietary projects without restriction.

Quickstart

pip install opentelemetry-instrumentation-milvus

from opentelemetry.instrumentation.milvus import MilvusInstrumentor

MilvusInstrumentor().instrument()

Verify before relying

  • Whether this instrumentation works with all versions of the official Milvus library or has specific version constraints.
  • What specific trace attributes and spans are captured for Milvus operations.
  • Whether additional configuration is needed beyond calling instrument() to export traces to a backend.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release <4,>=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
4 packages
opentelemetry-apiopentelemetry-instrumentationopentelemetry-semantic-conventions-aiopentelemetry-semantic-conventions
MaintenanceActively maintained 4 days since the last release
Last repo commit
First released
Downloads7,505,827 / month, #1,732 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14

Evidence: opentelemetry_instrumentation_milvus-0.62.3-py3-none-any.whl

Tags

Capabilities
milvus tracing instrumentationopentelemetry milvusvector database observabilitymilvus client tracingdistributed tracing vector dbmilvus telemetrymilvus call tracing
Topics
observabilityvector-databasedistributed-tracing

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See also opentelemetry-instrumentation-qdrant · opentelemetry-instrumentation-chromadb · opentelemetry-instrumentation-weaviate · opentelemetry-instrumentation-marqo · opentelemetry-instrumentation-pinecone · opentelemetry-instrumentation-lancedb · opentelemetry-instrumentation-ollama · opentelemetry-instrumentation-llamaindex · milvus-lite · opentelemetry-instrumentation-elasticsearch