phoenix-observability
Phoenix - AI Observability Platform
Open-source AI observability and evaluation platform for LLM applications with tracing, evaluation, datasets, experiments, and real-time monitoring.
When to use Phoenix
Use Phoenix when:
- Debugging LLM application issues with detailed traces
- Running systematic evaluations on datasets
- Monitoring production LLM systems in real-time
- Building experiment pipelines for prompt/model comparison
- Self-hosted observability without vendor lock-in
Key features:
- Tracing: OpenTelemetry-based trace collection for any LLM framework
- Evaluation: LLM-as-judge evaluators for quality assessment
- Datasets: Versioned test sets for regression testing
- Experiments: Compare prompts, models, and configurations
- Playground: Interactive prompt testing with multiple models
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