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opentelemetry-instrumentation-pinecone

OpenTelemetry Pinecone instrumentation

opentelemetry-instrumentation-pinecone v0.62.3 7.5M downloads/30d#1,727 on PyPI7,377
Permissive license Apache-2.0 Active released

What it is and what it does

This package is an OpenTelemetry instrumentation plugin that automatically captures traces from calls made to Pinecone, the vector database client library. It integrates with the OpenTelemetry ecosystem to emit structured telemetry data about Pinecone operations, enabling distributed tracing and observability across your application.

You install it alongside your OpenTelemetry setup, call `PineconeInstrumentor().instrument()` once at startup, and from that point forward all Pinecone client calls are automatically traced. The traces flow into whatever OpenTelemetry exporter you have configured (e.g., Jaeger, Datadog, or a collector). It depends on the core OpenTelemetry API and instrumentation framework, plus semantic convention packages for AI operations.

Use it for:

  • Debug slow or failing Pinecone queries by viewing full request/response traces in your observability backend.
  • Correlate Pinecone operations with other application traces to understand end-to-end latency in RAG or vector search workflows.
  • Monitor Pinecone usage patterns and performance metrics across your production deployments.
  • Troubleshoot integration issues between your application and Pinecone by inspecting emitted span data.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Adds distributed tracing to Pinecone vector database client calls using OpenTelemetry, capturing request and response telemetry for observability.

Yes, if you are already using OpenTelemetry and Pinecone together. The package is actively maintained, has no known vulnerabilities, installs with low friction, and solves the specific problem of making Pinecone calls visible within your observability stack. Skip it if you are not using OpenTelemetry or do not need tracing for Pinecone operations.

Install

opentelemetry-instrumentation-pinecone on PyPI

pip

pip install opentelemetry-instrumentation-pinecone

uv

uv add opentelemetry-instrumentation-pinecone

poetry

poetry add opentelemetry-instrumentation-pinecone

Installing opentelemetry-instrumentation-pinecone

Before you install

Low friction install with a small, focused dependency tree. Actively maintained with a recent release and no known vulnerabilities.

License in practice

Licensed under Apache-2.0 (permissive), allowing free use, modification, and distribution with minimal restrictions.

Quickstart

pip install opentelemetry-instrumentation-pinecone

from opentelemetry.instrumentation.pinecone import PineconeInstrumentor

PineconeInstrumentor().instrument()

Requires Python 3.10 or later; requires an active OpenTelemetry SDK setup with a configured exporter to actually export traces.

Verify before relying

  • Whether the instrumentation works with all versions of the official Pinecone library or has specific version constraints.
  • What specific trace attributes and span names are generated for different Pinecone operations.

Package facts

License Apache-2.0 (permissive)
Python support supports the current Python release (<4,>=3.10)
Install friction low — pure-Python wheel
Runtime dependencies 4 — opentelemetry-api, opentelemetry-instrumentation, opentelemetry-semantic-conventions-ai, opentelemetry-semantic-conventions
Maintenance actively maintained — 4 days since the last release
Last repo commit
First released
Downloads 7,522,100/month — #1,727 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

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

Tags

opentelemetry pinecone tracingpinecone instrumentationvector database observabilitypinecone client tracingdistributed tracing vector dbopentelemetry instrumentationpinecone telemetry
observabilityvector-databasetracing

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