opentelemetry-instrumentation-crewai
OpenTelemetry crewAI instrumentation
Decision gist · record as of 2026-08-14
Yes, if you are running crewAI agents in production or development and need observability. The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it a safe choice. Install only if you have an OpenTelemetry collector or exporter configured to receive traces; otherwise traces will be generated but discarded.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Requires a running OpenTelemetry collector or exporter to receive traces.
- Low friction install with four stable OpenTelemetry dependencies.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows use in commercial and proprietary projects 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) · 6,857,958 downloads/mo, #1,831 on PyPI
Alternatives
Verify before relying
pip install opentelemetry-instrumentation-crewai
from opentelemetry.instrumentation.crewai import CrewAIInstrumentor
CrewAIInstrumentor().instrument()- Whether the package works with all crewAI versions or has specific compatibility constraints.
- Performance overhead of instrumentation on large-scale agent deployments.
- Whether custom span processors or exporters are easily configurable beyond environment variables.
What it is and what it does
This package integrates OpenTelemetry tracing into crewAI agent workflows, automatically capturing LLM calls, agent decisions, and task execution as distributed traces. It wraps crewAI components to emit span events that record prompts, completions, and embeddings by default, giving visibility into how agents behave and make decisions.
The instrumentation is enabled with a single call to CrewAIInstrumentor().instrument() and respects the TRACELOOP_TRACE_CONTENT environment variable to disable sensitive content logging for privacy. It depends on the OpenTelemetry API, instrumentation framework, and AI-specific semantic conventions to standardize how agent behavior is represented in traces.
Use it for
- Debug crewAI agent behavior by examining LLM prompts and responses in distributed traces.
- Monitor production agent workflows to detect performance bottlenecks or unexpected LLM outputs.
- Audit agent decisions and data flow for compliance by logging prompts and completions to traces.
- Correlate agent activity with other system components using OpenTelemetry's trace context propagation.
- Evaluate agent output quality by analyzing completions and embeddings captured in spans.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are running crewAI agents in production or development and need observability.
The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it a safe choice. Install only if you have an OpenTelemetry collector or exporter configured to receive traces; otherwise traces will be generated but discarded.
Install
opentelemetry-instrumentation-crewai on PyPI
Before you install
Low friction install with four stable OpenTelemetry dependencies. Package is actively maintained with recent releases and no known vulnerabilities.
Requires Python 3.10 or later. Requires a running OpenTelemetry collector or exporter to receive traces.
License in practice
Apache-2.0 permissive license allows use in commercial and proprietary projects with minimal restrictions.
Quickstart
pip install opentelemetry-instrumentation-crewai
from opentelemetry.instrumentation.crewai import CrewAIInstrumentor
CrewAIInstrumentor().instrument()Verify before relying
- Whether the package works with all crewAI versions or has specific compatibility constraints.
- Performance overhead of instrumentation on large-scale agent deployments.
- Whether custom span processors or exporters are easily configurable beyond environment variables.
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 | 6,857,958 / month, #1,831 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: opentelemetry_instrumentation_crewai-0.62.3-py3-none-any.whl
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See also opentelemetry-instrumentation-openai-agents · opentelemetry-instrumentation-mcp · openinference-instrumentation-crewai · raindrop-ai · microsoft-agents-a365-observability-core · opentelemetry-instrumentation-openai · crewai-core · opentelemetry-instrumentation-ollama · crewai-cli · opentelemetry-instrumentation-vertexai