opentelemetry-instrumentation-pinecone
OpenTelemetry Pinecone instrumentation
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; requires an active OpenTelemetry SDK setup with a configured exporter to actually export traces.
- Low friction install with a small, focused dependency tree.
- Actively maintained with a recent release and no known vulnerabilities.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing free use, modification, and distribution with minimal restrictions.
last release 2026-08-10 (4 days) · last repo commit 2026-08-10 · 7,377 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 7,522,100 downloads/mo, #1,727 on PyPI
Alternatives
Verify before relying
pip install opentelemetry-instrumentation-pinecone
from opentelemetry.instrumentation.pinecone import PineconeInstrumentor
PineconeInstrumentor().instrument()- 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.
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 on it.
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
Before you install
Low friction install with a small, focused dependency tree. Actively maintained with a recent release and no known vulnerabilities.
Requires Python 3.10 or later; requires an active OpenTelemetry SDK setup with a configured exporter to actually export traces.
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()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 packagesopentelemetry-apiopentelemetry-instrumentationopentelemetry-semantic-conventions-aiopentelemetry-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
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See also opentelemetry-instrumentation-chromadb · opentelemetry-instrumentation-qdrant · opentelemetry-instrumentation-milvus · pinecone-client · opentelemetry-instrumentation-weaviate · opentelemetry-instrumentation-marqo · opentelemetry-instrumentation-lancedb · pinecone-plugin-interface · opentelemetry-instrumentation-cassandra · grpcio-observability