Prompt

Traceloop alternatives for multi-step LLM tracing

Technology / Observability1 observationLast seen Oct 9, 2026

Latest observation

Oct 9, 2026OpenAI APIWeb search: off

If you’re looking for Traceloop alternatives for multi-step LLM tracing, the best option depends on whether you want open-source tracing, full observability, or vendor-neutral OpenTelemetry support.

Strong alternatives

1) Langfuse

  • Open-source and self-hostable
  • Built for LLM app tracing, prompt/version tracking, evaluations, and cost monitoring
  • Good support for multi-step chains, agents, and tool calls
  • Nice if you want a Traceloop-like developer experience with more control

Best for: teams wanting OSS + production observability


2) Arize Phoenix

  • Open-source observability focused on LLMs
  • Excellent for tracing, debugging, evaluations, and experiment analysis
  • Strong support for multi-step workflows and retrieval traces
  • Works well if you’re also doing RAG

Best for: debugging complex LLM pipelines and RAG systems


3) Helicone

  • Proxy-based LLM observability
  • Easy integration for request tracing, metrics, costs, and latency
  • Good for API-level visibility; can work well alongside app traces
  • Less “workflow-native” than Langfuse, but very simple to adopt

Best for: quick rollout and API usage analytics


4) OpenTelemetry + custom LLM instrumentation

  • Vendor-neutral observability standard
  • Flexible if you already use tracing infrastructure like Jaeger, Tempo, Honeycomb, Datadog, or New Relic
  • More setup effort, but gives you portability and control
  • Good choice if you want to trace each step, span, tool call, and external dependency consistently

Best for: teams with existing observability stacks


5) LangSmith

  • Great if you’re using LangChain
  • Strong support for runs, chains, tools, datasets, and evaluations
  • Very good for multi-step execution tracing
  • More ecosystem-tied than some alternatives

Best for: LangChain-heavy teams


Other options

  • Weights & Biases Weave – useful for LLM app tracing and evals
  • Datadog / New Relic / Honeycomb – strong general observability with custom LLM tracing
  • Braintrust – evaluation + tracing focused
  • Lunary – LLM monitoring and prompt management
  • PostHog – can be adapted for LLM app analytics, less specialized

Quick recommendation

  • Best Traceloop-like OSS alternative: Langfuse
  • Best for RAG + deep debugging: Phoenix
  • Best for easy proxy-based tracing: Helicone
  • Best if you want standard observability plumbing: OpenTelemetry

If you want, I can also give you:

  1. a feature comparison table,
  2. which one fits your stack (LangChain / LlamaIndex / custom Python / Node), or
  3. open-source vs hosted recommendations.

Observation history

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