ModelsAgree
← All leaderboards
📡

Best AI agent observability tool

4 models · updated 2026-07-12

The verdict

LangSmith leads — 3 of 4 models rank LangSmith the top pick.

Not unanimous: Grok picks Braintrust.

Combined ranking

  1. 1
    LangSmith18 pts
    GPT #1Claude #1Gemini #1Grok #3

    Best end-to-end agent workflow: deep traces, thread-level monitoring, online/offline evaluations, production-to-dataset feedback loops, LangGraph integration, and cloud, hybrid, or self-hosted deployment

    Claude Deepest agent-native tracing on the market — full tree views of multi-step LangGraph runs, tool calls, and token/cost breakdowns, plus integrated evals, datasets, and production monitoring in one place; it became the default because agent debugging there genuinely feels first-class

    Gemini Seamless integration with LangGraph and LangChain for tracing multi-step agent reasoning, combined with annotation queues and click-to-test regression coverage.

    Grok Deepest integration with LangChain/LangGraph ecosystems for seamless tracing, debugging, and monitoring of agent workflows, with robust replay and eval capabilities

    To stay #1

    per GPT Make first-class tracing equally effortless and rich outside the LangChain/LangGraph ecosystem

    per Claude Loosen the LangChain gravity — first-party, zero-friction instrumentation for non-LangChain stacks and self-hosting below enterprise tier

    per Gemini Introduce a fully open-source core tier to lower enterprise self-hosting costs.

    per Grok Reduce vendor lock-in and improve multi-framework support for teams not fully committed to LangChain

  2. 2
    Braintrust14 pts
    GPT #2Claude #4Gemini #3Grok #1

    Leading eval-driven platform with CI/CD gating, comprehensive tracing for multi-turn agents, automated scoring, production feedback loops, and strong non-framework lock-in for production reliability

    GPT Exceptional trace-to-evaluation loop, nested agent and tool spans, semantic production-log analysis, fast high-cardinality search, broad framework integrations, and CI quality gates

    Gemini Unifies production tracing with a powerful evaluation-first workflow, versioned prompts, custom LLM-as-a-judge scoring, and a high-performance OLAP database.

    Claude Best eval-driven development loop for agents — Loop, playgrounds, dataset-centric regression testing, and production logging that feed each other; teams that live in evals ship measurably better agents

    To rank higher

    per GPT Add more mature enterprise operational monitoring and alerting

    per Claude Broaden pure observability depth (alerting, dashboards, long-horizon production monitoring) so it competes as monitoring, not just as an eval platform

    per Gemini Implement built-in, real-time gateway guardrails to prevent agent hallucinations during live inference.

    per Grok Deeper native integrations with more agent frameworks beyond SDKs to reduce setup for complex custom agents

  3. 3
    Langfuse14 pts
    GPT #4Claude #2Gemini #2Grok #2

    The open-source standard — self-hostable, framework-agnostic, OpenTelemetry-based tracing with sessions, evals, prompt management, and cost tracking; the trust and control story wins for teams shipping agents to production without vendor lock-in

    Gemini A feature-rich, open-source, and framework-agnostic platform that makes self-hosting and privacy compliance trivial while offering robust cost tracking and prompt management.

    Grok Open-source leader with excellent self-hosting, framework-agnostic tracing, cost analytics, and solid multi-turn agent observability making it ideal for data sovereignty and flexible production deployments

    GPT Best open-source and self-hostable option, strong nested tracing, sessions, prompt management, datasets, evaluations, cost analytics, and increasingly fast operation-level analysis

    To rank higher

    per GPT Add stronger turnkey anomaly detection and production alerting

    per Claude Close the gap on agent-graph visualization and analytics depth so complex multi-agent traces are as readable as LangSmith's

    per Gemini Improve native visual modeling for non-linear agentic graphs and multi-agent interaction loops.

    per Grok Stronger built-in automated evaluation and quality loop features to compete on proactive issue prevention

  4. 4
    GPT Claude #3Gemini #4Grok #4

    Built OpenInference into a de facto tracing standard, excellent LLM-as-judge evals, strong open-source core with a credible enterprise path (Arize AX), and solid support for agent frameworks like CrewAI and AutoGen

    Gemini Built entirely on OpenTelemetry standards for vendor-neutral tracing, providing deep execution tree visualization and robust evaluation tools.

    Grok ML-grade rigor with strong OpenTelemetry support, drift detection, unified ML+LLM monitoring, and excellent for evaluation in complex agent systems

    To rank higher

    per Claude Smooth the seam between OSS Phoenix and paid AX — a single continuous product story instead of a migration decision

    per Gemini Streamline local notebook integration and simplify the dense developer documentation to lower the entry barrier.

    per Grok Better real-time production alerting and agent-specific multi-step visualization for faster debugging

  5. 5
    Arize AX3 pts
    GPT #3Claude Gemini Grok

    OpenTelemetry-native tracing, OpenInference leadership, 30-plus integrations, agent visualizations, continuous span/trace/session evaluations, and proven billion-span scale

    To rank higher

    per GPT Simplify the sprawling workflow and interface for smaller engineering teams

  6. 6
    AgentOps1 pts
    GPT Claude Gemini #5Grok

    Built specifically for agents, featuring session-replay debugging for multi-agent workflows, cost containment per run, and SDK-level state monitoring.

    To rank higher

    per Gemini Optimize the SDK telemetry footprint to reduce latency overhead in high-throughput production runs.

  7. 7
    Confident AI1 pts
    GPT Claude Gemini Grok #5

    Evaluation-first approach with auto-evals on every trace, research-backed metrics, anomaly detection, and closed quality loops turning observability into actionable improvement

    To rank higher

    per Grok Broader adoption and ecosystem integrations beyond its eval strengths for larger enterprise scale

  8. 8
    Datadogincumbent1 pts
    GPT #5Claude Gemini Grok

    Unifies agent traces, evaluations, security signals, APM, infrastructure telemetry, dashboards, anomaly insights, and long-retention operational metrics

    To rank higher

    per GPT Broaden automatic instrumentation and agent-specific evaluation depth beyond its comparatively narrower SDK ecosystem

  9. 9
    GPT Claude #5Gemini Grok

    Effortless instrumentation (one decorator), strong eval and experiment-comparison DNA from W&B's ML heritage, and good trace views for agentic pipelines backed by a mature enterprise platform

    To rank higher

    per Claude Ship deeper agent-specific primitives — multi-agent session views, tool-call analytics, and cost governance that match the agent-first competitors

Just missed the top 5

GPT Weights & Biases Weavestrong tracing, evaluation, and experiment lineage, but less compelling as a dedicated production agent-operations console · Heliconeexcellent lightweight gateway-based cost and request observability, but weaker for complex agent trajectories and rigorous evaluation workflows

Claude Datadog LLM Observabilityexcellent if you already live in Datadog, but agent-specific workflows and evals trail the specialists and pricing stings · AgentOpsgenuinely agent-native with nice session replays, but a smaller ecosystem and thinner eval tooling than the top five

Gemini Heliconefocuses primarily on proxy-based API routing, caching, and lightweight cost metrics rather than native agent graph tracing · Confident AIprioritizes automated testing and evaluation via DeepEval rather than providing a real-time production agent debugging dashboard

Grok Heliconelightweight proxy excels at quick setup and cost optimization but lacks deep eval and agent-specific tracing depth · Datadog LLM Observabilitystrong for existing Datadog users with enterprise APM but less specialized for pure AI agent workflows

By model

ChatGPT

  1. 1.LangSmith
  2. 2.Braintrust
  3. 3.Arize AX
  4. 4.Langfuse
  5. 5.Datadog

Claude

  1. 1.LangSmith
  2. 2.Langfuse
  3. 3.Arize Phoenix
  4. 4.Braintrust
  5. 5.Weights & Biases Weave

Gemini

  1. 1.LangSmith
  2. 2.Langfuse
  3. 3.Braintrust
  4. 4.Arize Phoenix
  5. 5.AgentOps

Grok

  1. 1.Braintrust
  2. 2.Langfuse
  3. 3.LangSmith
  4. 4.Arize Phoenix
  5. 5.Confident AI

Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled continuously