Prompt
LangSmith alternatives for tracing prompts and tool calls
Latest observation
Oct 9, 2026
OpenAI APIWeb search: off
Here are solid LangSmith alternatives for tracing prompts, LLM calls, and tool/function calls, grouped by what they’re best at:
Managed observability platforms
These are the closest to LangSmith in terms of end-to-end tracing, debugging, and evaluation.
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Helicone
- OpenAI-compatible proxy for logging/tracing LLM requests
- Good dashboards, cost tracking, latency, prompt history
- Easy to add to many stacks
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Arize Phoenix
- Strong for LLM observability and evaluation
- Great for tracing, embeddings, retrieval/debugging, and experiments
- Open-source, can self-host
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OpenTelemetry + vendor backend
- If you want full control, instrument with OTel and export to:
- Datadog
- Honeycomb
- Grafana Cloud
- New Relic
- Best if you already use standard observability tooling
- If you want full control, instrument with OTel and export to:
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WhyLabs
- Focus on monitoring, drift, and production observability
- Useful for model/application monitoring at scale
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Traceloop
- LLM tracing built around OpenTelemetry
- Good for distributed traces across app, model, retrieval, and tools
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Braintrust
- Strong for prompt testing, evals, and experiment tracking
- Also supports tracing and collaboration
Open-source / self-hostable
Good if you want more control, lower cost, or local deployment.
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Arize Phoenix
- Open-source leader here
- Best mix of tracing + evaluation + retrieval analysis
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OpenLLMetry
- OpenTelemetry-based instrumentation for LLM apps
- Works well as a standard tracing layer
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Langfuse
- Very popular LangSmith alternative
- Traces, prompt management, scores, evals, user feedback
- Self-host or cloud
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Opik
- Tracing and evals for LLM apps
- Good developer experience and prompt/version tracking
If your main goal is just tracing tool calls
If you want to trace agent steps, tool invocations, and nested spans, these are especially relevant:
- Langfuse
- Arize Phoenix
- Traceloop
- OpenTelemetry with any backend
- Datadog / Honeycomb if you already have infra tracing
Quick recommendations
- Best overall replacement for LangSmith: Langfuse
- Best open-source observability + evals: Arize Phoenix
- Best if you want standard distributed tracing: OpenTelemetry / OpenLLMetry
- Best if you want simple logging/proxy for OpenAI calls: Helicone
- Best for prompt testing/evals and team workflows: Braintrust
What to choose by use case
- Debugging one app with tool calls: Langfuse or Phoenix
- Enterprise tracing with existing infra: OpenTelemetry + Datadog/Honeycomb
- Prompt engineering and eval-heavy workflows: Braintrust or Langfuse
- Retrieval-augmented systems: Phoenix
- Low-friction OpenAI request logging: Helicone
If you want, I can also give you a feature comparison table for these tools, or narrow it down based on your stack, like Python/LangChain/LlamaIndex/OpenAI/agents.