Datadog is a monitoring and analytics platform for cloud-scale application infrastructure.
Starting at $15 per host per month
Best LangSmith Alternatives ranked by AI · updated Aug 2026
LangSmith is an observability and evaluation platform for applications built with language models and agents. It provides tracing, dataset management, prompt testing, and production monitoring for development teams.
Top 6 LangSmith alternatives
Phoenix is a web development framework written in Elixir that implements the server-side MVC pattern.
Weave is a comprehensive communication platform designed for small business owners to manage customer interactions.
Starting at $59/month
Chat Metrics is a conversation analytics platform for teams monitoring customer-support and AI chatbot interactions. It helps users identify recurring topics, measure...
Pros
- Focuses on conversation-level metrics rather than general product analytics
- Useful for identifying recurring support topics and interaction trends
- Designed for teams analyzing customer or chatbot conversations
Cons
- Less established than LangSmith or Datadog for LLM observability
- Pricing and integration details are not publicly clear
- May offer fewer developer tracing features than open-source alternatives
Rerail is a platform for testing, monitoring, and improving AI applications and agents in production. It is aimed at developers and teams...
Pros
- Combines agent monitoring and evaluation in one workflow
- Designed for production AI reliability rather than only prompt experimentation
- More focused on agent behavior than general-purpose application monitoring
Cons
- Less established and less widely adopted than LangSmith or Langfuse
- Pricing and product scope are less transparent than several competitors
- May offer fewer integrations and community resources than mature observability platforms
6
AgentStory
AgentStory
AgentStory is an observability platform for monitoring, tracing, and debugging AI-agent workflows. It is aimed at developers building production agents and emphasizes...
Pros
- Agent-focused traces provide more workflow context than general application monitoring
- Session views help connect tool calls, model outputs, and user interactions
- Designed for debugging multi-step agent behavior
Cons
- Smaller ecosystem and community than LangSmith or Langfuse
- Less established evaluation tooling than Braintrust
- Public pricing information is limited
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