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Best-for list

Best AI Observability Tools

You cannot debug what you cannot see. These tools log token usage, tool calls, latency, and errors. Langfuse is open-source; LangSmith is commercial but pairs with LangGraph; Arize is for production inference.

The picks

Ranked by fit, not by popularity. Each entry links to its full Directories page.

  1. 1
    O OSS

    Langfuse

    by Langfuse

    Open-source LLM observability with tracing, evaluation, and cost tracking.

    Langfuse logs every LLM call, tool invocation, and chain branch. Query traces, evaluate outputs against ground truth, track costs per model. Self-hosted or managed. No vendor lock-in.

    Full entry
  2. 2

    langsmith

    LangChain observability platform with evaluation, debugging, and feedback loops.

    LangSmith is the observability layer for LangChain and LangGraph. Built-in evaluation, replay capability, feedback collection from users. Commercial but owned by LangChain team, so integration is seamless.

  3. 3

    openobserve

    Log aggregation and analytics for structured logging from agents.

    OpenObserve handles unstructured logs from your agents. Parse, index, visualize. Lower-level than LLM-specific tools but useful for operational debugging across your whole stack.

  4. 4

    prometheus

    Metrics collection and time-series database for agent performance.

    Prometheus scrapes metrics from your agent code: latency, tokens, error rates. Plug into Grafana for dashboards. Standard infrastructure tool, not LLM-specific, but essential for production.

  5. 5

    jaeger

    Distributed tracing for microservices, including LLM service calls.

    Jaeger traces requests across services. Useful when your agent makes external API calls. See the critical path: is latency in the LLM or in your database?

  6. 6

    datadog

    Commercial APM with AI-specific insights and log correlation.

    Datadog is the enterprise choice. Full observability: logs, metrics, traces, synthetic monitoring. LLM plugin for token tracking. Worth it if you already use Datadog.

Why Enterprise DNA

Run every pick on one platform.

Enterprise DNA ships with Langfuse integration built-in. Every agent run logs to Langfuse. See project performance, evaluate quality, track cost per agent.

Run this list on Enterprise DNA
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