Use case · Needs verification
AI Observability And Evaluation
Evaluation, tracing, prompt testing, and monitoring tools for LLM applications.
Verification status
This page lists recommended resources for this use case and is marked Needs verification. Community contributions and verification status are updated regularly.
Start here
Browse recommended tools and libraries to speed up your build.
Skills
8 mapped skills
Tools
6 candidate tools
Repos
0 GitHub records
Required and useful skills
API Literacy
EngineeringUnderstanding authentication, rate limits, request shapes, errors, and source attribution.
Skill linked from curated resource requirements.
Data Ingestion
DataLoading, cleaning, chunking, and normalizing documents or structured data.
Skill linked from curated resource requirements.
Debugging
QualityFinding root causes through logs, reproduction, isolation, and targeted tests.
Skill linked from curated resource requirements.
Evaluation
QualityTesting LLM quality, retrieval quality, task completion, and regression behavior.
Skill linked from curated resource requirements.
Prompt Debugging
AIDiagnosing poor AI outputs by adjusting instructions, context, examples, and constraints.
Skill linked from curated resource requirements.
Retrieval-Augmented Generation
AIConnecting LLMs to external knowledge with retrieval, ranking, and grounded responses.
Skill linked from curated resource requirements.
Test Automation
QualityCreating repeatable checks for UI, API, integration, and regression behavior.
Skill linked from curated resource requirements.
Workflow Design
AutomationBreaking a task into reliable steps, checkpoints, retries, and human review gates.
Skill linked from curated resource requirements.
Recommended tools
Arize Phoenix
AI Observability EvaluationOpen-source observability and evaluation tool for LLM and ML applications.
Curated tool relationship for future one-stop directory pages.
Langfuse
AI Observability EvaluationOpen-source LLM observability and tracing platform.
Curated tool relationship for future one-stop directory pages.
Promptfoo
AI Observability EvaluationOpen-source tool for testing, evaluating, and red-teaming prompts and LLM apps.
Curated tool relationship for future one-stop directory pages.
Ragas
AI Observability EvaluationEvaluation framework for RAG and LLM application quality checks.
Curated tool relationship for future one-stop directory pages.
AgentOps
AI Observability EvaluationObservability and debugging platform for AI agents.
Curated tool relationship for future one-stop directory pages.
Helicone
AI Observability EvaluationOpen-source observability platform for LLM usage, latency, and cost tracking.
Curated tool relationship for future one-stop directory pages.
Similar repositories (suggested)
n8n-io/n8n
TypescriptFair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Significant-Gravitas/AutoGPT
PythonAutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
huggingface/transformers
Python🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Caveats and failure modes
Resource verification status and scoring are reviewed regularly to maintain directory accuracy.