AI Observability And Evaluation
AI Observability EvaluationEvaluation, tracing, prompt testing, and monitoring tools for LLM applications.
Use caseNeeds verification
Tool · Needs verification
Arize Phoenix
Open-source observability and evaluation tool for LLM and ML applications.
ToolNeeds verificationOpen sourceSelf-hostedFreemiumGitHub linked
Review gate
Final scoring is withheld because this record is currently Needs verification. Official links, pricing, license, and publication summary need manual review before indexing.
Tool fit
Primary repository
Mapped use cases
Related repositories
Arize-ai/phoenix
PythonAI Observability & Evaluation
RepositoryAuto enrichedPythonActive signal
Related skills
Data Ingestion
DataLoading, cleaning, chunking, and normalizing documents or structured data.
Role: Recommended
SkillNeeds verificationDataRequired
Debugging
QualityFinding root causes through logs, reproduction, isolation, and targeted tests.
Role: Recommended
SkillNeeds verificationQualityRequired
Evaluation
QualityTesting LLM quality, retrieval quality, task completion, and regression behavior.
Role: Recommended
SkillNeeds verificationQualityRecommended