OpenTelemetry-native tracing, evaluation, and monitoring for LLM apps
Who should use this?
OpenTelemetry LLM teams and Portable tracing and evaluation.
Who should avoid it?
Sensitive telemetry without redaction, Fine-grained basic-plan RBAC needs
What problem does it solve?
Traceloop combines OpenLLMetry with hosted or private observability, but span volume, trace sensitivity, access, and evaluator validity determine fit.
Would I recommend it?
Traceloop earns a shortlist for OpenTelemetry-oriented teams wanting portable LLM observability. Validate access semantics, redact at instrumentation, calibrate evaluators against humans, and model cost from spans rather than requests.
Advisor score
Premium review framework
Traceloop combines OpenLLMetry with hosted or private observability, but span volume, trace sensitivity, access, and evaluator validity determine fit.
Traceloop earns a shortlist for OpenTelemetry-oriented teams wanting portable LLM observability. Validate access semantics, redact at instrumentation, calibrate evaluators against humans, and model cost from spans rather than requests.
Trace 500 synthetic requests across environments with PII decoys, retrieval, tools, failures, sampling, and two exporters. Measure span multiplication, redaction, isolation, evaluator-human agreement, alert precision, deletion, portability, latency, and cost.
Personal Recommendation
Traceloop earns a shortlist for OpenTelemetry-oriented teams wanting portable LLM observability. Validate access semantics, redact at instrumentation, calibrate evaluators against humans, and model cost from spans rather than requests.
Try the recommendation
Open-source OpenLLMetry
Overall Score
Editorial Review Framework
Who should use this?
OpenTelemetry LLM teams, Portable tracing and evaluation, Private deployment requirements.
Who should avoid it?
Sensitive telemetry without redaction, Fine-grained basic-plan RBAC needs
What problem does it solve?
Traceloop combines OpenLLMetry with hosted or private observability, but span volume, trace sensitivity, access, and evaluator validity determine fit.
Would I recommend it?
Traceloop earns a shortlist for OpenTelemetry-oriented teams wanting portable LLM observability. Validate access semantics, redact at instrumentation, calibrate evaluators against humans, and model cost from spans rather than requests.
Overall Score
8.0
Ease of Use
7.6
AI Quality
8.0
Features
8.2
Speed
7.8
Integrations
8.2
Value for Money
8.0
Customer Support
7.4
Learning Curve
7.2
Recommended Because…
Open-source OpenLLMetry
Scores use a 0-10 editorial scale. The source data is maintained as 5-point review dimensions, then normalized for reader-friendly comparison.
Evaluation
Research-based
Price posture
freemium
Reviewed
2026-09-02
No authentic product screenshot is published for this review. DiscoverAI does not use generated interface images as product evidence.
The current page lists Free Forever at $0 for up to 50,000 spans monthly and 24-hour retention. Higher production volume is enterprise-led. OpenLLMetry is Apache-2.0 licensed and exports to supported backends. Reviewed September 2, 2026.
Free plan: Yes. Hosted Free includes 50,000 monthly spans, and OpenLLMetry can be used independently.
Yes. Hosted Free lists 50,000 spans monthly, and OpenLLMetry is open source.
A span is one operation within a trace, such as a model, retrieval, or tool call; one request can create many.
Official docs describe hybrid and full private deployments under enterprise arrangements.
Not necessarily. OpenLLMetry exports OpenTelemetry data to multiple supported backends.
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