Use Case

Top LLMOps & RAG Observability Tools for Production

Production LLMOps observability tools that track token costs, hallucination rates, trace agent loops, and optimize latency.

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AgentOps

AgentOps is the premier agent observability, evaluation, and security platform built specifically for autonomous multi-agent frameworks (CrewAI, AutoGen, LangGraph) with 2-line Python setup.

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Weights & Biases (W&B Weave)

Weights & Biases (W&B) is the premier MLOps and LLMOps platform for training, fine-tuning, and evaluating foundation models, featuring W&B Weave for lightweight GenAI application tracing and evaluations.

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LangSmith (by LangChain)

LangSmith is LangChain's enterprise platform for debugging, testing, evaluating, and monitoring LLM applications, chains, and LangGraph agent systems from prototype to production.

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Fiddler AI

Fiddler AI is an enterprise AI observability and trust platform delivering explainable AI (XAI), LLM guardrails, fairness and bias tracking, and data drift monitoring for mission-critical systems.

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Comet ML (Opik LLMOps)

Comet ML is an enterprise MLOps and LLMOps platform featuring Opik—an open-source evaluation and production monitoring suite for tracking LLM applications, RAG pipelines, and agent reasoning traces.

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Arize AI (Phoenix Tracing)

Arize AI is an enterprise AI observability, evaluation, and LLM tracing platform featuring Arize Phoenix—an open-source OpenTelemetry-based framework for visualizing embeddings and RAG pipelines.

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TruLens (TruEra / Snowflake)

TruLens (by Snowflake/TruEra) is the industry-standard open-source evaluation and tracking toolkit for LLM applications and RAG systems, pioneering the famous RAG Triad evaluation framework.

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Arthur AI (Arthur Shield)

Arthur AI is an enterprise AI model monitoring and firewall platform featuring Arthur Shield—a real-time LLM firewall that blocks prompt injections, toxic outputs, and sensitive PII leaks before they reach models or users.

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Browse AI

Browse AI is a no-code web scraping and monitoring robot that allows anyone to train a web scraping bot in 2 minutes simply by clicking and recording on any website.

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