opentelemetry-instrumentation-ollama
OpenTelemetry Ollama instrumentation
Decision gist · record as of 2026-08-14
Yes, if you are already using OpenTelemetry in your application and need visibility into Ollama calls. The package is actively maintained, has no known vulnerabilities, and integrates cleanly with standard observability stacks. Install it only if you have an OpenTelemetry SDK and exporter configured; it is not a standalone observability solution.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; assumes an OpenTelemetry SDK and exporter are already configured in your application.
- Low friction: pure Python wheel with four stable OpenTelemetry dependencies.
- Actively maintained with a recent release (4 days old) and no known vulnerabilities.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows use in most commercial and open-source projects without significant 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) · 6,879,570 downloads/mo, #1,825 on PyPI
Alternatives
Verify before relying
pip install opentelemetry-instrumentation-ollama
from opentelemetry.instrumentation.ollama import OllamaInstrumentor
OllamaInstrumentor().instrument()- Whether the instrumentation works with all Ollama endpoint types or only a subset.
- Performance overhead of tracing on typical Ollama workloads.
- How the TRACELOOP_TRACE_CONTENT environment variable interacts with other trace filtering mechanisms.
What it is and what it does
This package wraps the Ollama Python client to emit OpenTelemetry spans for every call to Ollama's endpoints. It integrates with your existing OpenTelemetry setup (API, instrumentation base, and semantic conventions) to capture request and response details as structured trace data. By default, it logs prompts, completions, and embeddings to span attributes for full visibility into LLM behavior; you can disable this via the TRACELOOP_TRACE_CONTENT environment variable if the data contains sensitive information or you want smaller traces.
The instrumentation is designed for developers building LLM applications who need observability into Ollama calls without modifying their application code. It follows the OpenTelemetry semantic conventions for AI systems, making traces compatible with standard observability platforms and tools.
Use it for
- Debug LLM application behavior by inspecting prompts, completions, and response latencies in distributed traces.
- Monitor Ollama endpoint performance and error rates across your infrastructure using OpenTelemetry exporters.
- Audit LLM interactions for compliance or quality assurance by capturing full request/response data in traces.
- Correlate Ollama calls with upstream application logic using trace context propagation.
- Reduce trace size and remove sensitive data by disabling content logging in production deployments.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using OpenTelemetry in your application and need visibility into Ollama calls.
The package is actively maintained, has no known vulnerabilities, and integrates cleanly with standard observability stacks. Install it only if you have an OpenTelemetry SDK and exporter configured; it is not a standalone observability solution.
Install
opentelemetry-instrumentation-ollama on PyPI
Before you install
Low friction: pure Python wheel with four stable OpenTelemetry dependencies. Actively maintained with a recent release (4 days old) and no known vulnerabilities.
Requires Python 3.10 or later; assumes an OpenTelemetry SDK and exporter are already configured in your application.
License in practice
Apache-2.0 permissive license allows use in most commercial and open-source projects without significant restrictions.
Quickstart
pip install opentelemetry-instrumentation-ollama
from opentelemetry.instrumentation.ollama import OllamaInstrumentor
OllamaInstrumentor().instrument()Verify before relying
- Whether the instrumentation works with all Ollama endpoint types or only a subset.
- Performance overhead of tracing on typical Ollama workloads.
- How the TRACELOOP_TRACE_CONTENT environment variable interacts with other trace filtering mechanisms.
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 | 6,879,570 / month, #1,825 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: opentelemetry_instrumentation_ollama-0.62.3-py3-none-any.whl
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See also opentelemetry-instrumentation-langchain · opentelemetry-instrumentation-llamaindex · raindrop-ai · llama-index-instrumentation · traceloop-sdk · opentelemetry-instrumentation-haystack · opentelemetry-instrumentation-writer · opentelemetry-instrumentation-alephalpha · lumigo-tracer · opentelemetry-instrumentation-cohere