Best AI Observability Tools

Compare 11 top-rated ai observability tools. Find features, pricing, pros, cons, and alternatives.

🏆 Top Tools in This Category

AgentOps

🔴Developer

AgentOps review: developer observability for tracing, replaying, debugging, securing, and monitoring AI-agent sessions, tool calls, token use, and cost.

Arize Phoenix

🔴Developer

Arize Phoenix is an open-source AI observability and evaluation platform for tracing, testing, and improving LLM applications and agents.

Free open-source (Elastic License 2.0); hosted Arize Cloud tier; enterprise Arize AXView Details →

Keywords AI / Respan

🔴Developer

LLM monitoring and gateway platform for AI applications

Langfuse

MCP
MCP Client
🔴Developer

An open-source observability and evaluation platform for language-model applications.

Free tier + Cloud plans from $29/monthView Details →

LangSmith

🔴Developer

LangSmith is LangChain's commercial observability, evaluation and prompt management platform for LLM apps and agents in production.

Free Developer tier; Plus $39/user/month; Enterprise customView Details →

Latitude

MCP
MCP Client
🔴Developer

Latitude AI observability review covering agent traces, issue detection, human-aligned evaluations, verified pricing, integrations, benefits, and limitations.

The official pricing page listed a non-expiring free Starter plan with 20,000 monthly credits. Team costs $99 per month with 100,000 credits, and additional credits cost $20 per 10,000. A trace costs one credit; hosted AI features can consume additional credits. Enterprise is custom.View Details →

New Relic Agentic Platform and MCP

MCP
MCP Server
🔴Developer

Observability platform for applications and AI systems that gives operational context to engineering agents.

OpenObserve AI Observability

🔴Developer

An OpenTelemetry-native observability product for tracing agents, tool calls, and model requests while measuring quality, latency, token use, and cost.

Cloud Professional: $0.50/GB ingested + $0.01/GB queried; Enterprise: Custom; Self-hosted: Open-source/self-managedView Details →

PandaProbe

🔴Developer

Open-source AI agent engineering platform for tracing, evaluating, and debugging agent runs across any framework and LLM provider.

Traceloop

🔴Developer

An observability platform and open-source instrumentation toolkit for tracing language-model applications and agents using OpenTelemetry-compatible conventions.

AI Observability tools

AgentOps

🔴Developer

AgentOps review: developer observability for tracing, replaying, debugging, securing, and monitoring AI-agent sessions, tool calls, token use, and cost.

Key Features:

  • •Two-line SDK integration
  • •Time travel debugging
  • •Session replay analytics

Freemium

Arize Phoenix

🔴Developer

Arize Phoenix is an open-source AI observability and evaluation platform for tracing, testing, and improving LLM applications and agents.

Key Features:

  • •LLM Tracing & Observability
  • •Evaluation Framework
  • •Experiment Management

Free open-source (Elastic License 2.0); hosted Arize Cloud tier; enterprise Arize AX

Keywords AI / Respan

🔴Developer

LLM monitoring and gateway platform for AI applications

Key Features:

  • •End-to-end agent tracing with prompt, tool call and response context
  • •Evaluation workflows with human review, code checks and LLM judges
  • •Gateway, observability, evaluations and prompt optimization features

Custom

🏆 Best Enterprise Value

Langfuse

MCP
MCP Client
🔴Developer

An open-source observability and evaluation platform for language-model applications.

Key Features:

  • •Hierarchical Tracing & Agent Debugging
  • •Production Prompt Management & Versioning
  • •LLM-as-Judge Evaluation Framework

Free tier + Cloud plans from $29/month

🏆 Best Monitoring Tool

LangSmith

🔴Developer

LangSmith is LangChain's commercial observability, evaluation and prompt management platform for LLM apps and agents in production.

Key Features:

  • •Tracing for any LLM stack via Python/TypeScript SDKs or OpenTelemetry
  • •LLM-as-judge, code-based and pairwise evaluations
  • •Versioned prompts with production A/B traffic splits

Free Developer tier; Plus $39/user/month; Enterprise custom

Latitude

MCP
MCP Client
🔴Developer

Latitude AI observability review covering agent traces, issue detection, human-aligned evaluations, verified pricing, integrations, benefits, and limitations.

Key Features:

  • •Multi-turn traces with tool calls and full execution paths
  • •Issue discovery and clustering across failed traces
  • •Human-aligned evaluations with drift and alignment measurements

The official pricing page listed a non-expiring free Starter plan with 20,000 monthly credits. Team costs $99 per month with 100,000 credits, and additional credits cost $20 per 10,000. A trace costs one credit; hosted AI features can consume additional credits. Enterprise is custom.

PandaProbe

🔴Developer

Open-source AI agent engineering platform for tracing, evaluating, and debugging agent runs across any framework and LLM provider.

Key Features:

  • •One-line instrument() call for full agent execution tracing
  • •Framework-agnostic: Google ADK, LangChain, CrewAI, AutoGen, and more
  • •Works with any LLM provider (OpenAI, Anthropic, Google, Mistral, local)

Custom

Traceloop

🔴Developer

An observability platform and open-source instrumentation toolkit for tracing language-model applications and agents using OpenTelemetry-compatible conventions.

Key Features:

  • •LLM traces and prompt-response visibility
  • •Agent and workflow spans
  • •OpenTelemetry-compatible instrumentation

Custom

Weights & Biases Weave

🔴Developer

An observability and evaluation toolkit for tracing generative-AI applications, comparing outputs, managing evaluation datasets, and inspecting model behavior.

Key Features:

  • •LLM tracing
  • •evaluations
  • •datasets

Custom

New Relic Agentic Platform and MCP

MCP
MCP Server
🔴Developer

Observability platform for applications and AI systems that gives operational context to engineering agents.

Key Features:

  • •Full-stack APM and logs
  • •AI agent monitoring
  • •OpenTelemetry support

Custom

OpenObserve AI Observability

🔴Developer

An OpenTelemetry-native observability product for tracing agents, tool calls, and model requests while measuring quality, latency, token use, and cost.

Key Features:

  • •Agent and tool-call traces
  • •Live quality scoring
  • •Token, latency and cost attribution

Cloud Professional: $0.50/GB ingested + $0.01/GB queried; Enterprise: Custom; Self-hosted: Open-source/self-managed

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