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Head-to-head · AI Agent Observability Tools

HoneyHive vs LangSmith

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score HoneyHive #5 in AI Agent Observability Tools 8.8/10 Free plan Free plan✓ 1 of 3 features Visit HoneyHive
LangSmith #6 in AI Agent Observability Tools 8.7/10 Free plan Free plan✓ 1 of 3 features Visit LangSmith

HoneyHive leads on 0 checks, LangSmith on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreHoneyHive · 8.8/10
  • Free planboth

HoneyHive scores higher on our rubric for ai agent observability tools: 8.8 against 8.7 out of 10; our editors rank them #5 and #6.

HoneyHive is the better fit for teams focused on production agent quality. LangSmith is the better fit for langChain-centric teams needing full observability.

  • HoneyHive fits best

    Teams focused on production agent quality

  • LangSmith fits best

    LangChain-centric teams needing full observability

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature HoneyHive 8.8/10 Visit ↗ LangSmith 8.7/10 Visit ↗
At a glance
Editor score 8.8 8.7
Ranking #5 in AI Agent Observability Tools #6 in AI Agent Observability Tools
Best for Teams focused on production agent quality LangChain-centric teams needing full observability
Pricing model Free plan + paid Free plan + paid
Starting price — $39/seat/mo
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web Web
Support Email, Community, Docs Community, Email, Tickets, Docs · 24/7
Compliance SOC 2, GDPR, HIPAA, SSO/SAML, 2FA SOC 2, ISO 27001, GDPR, HIPAA, SSO/SAML
Integrations 100+ integrations 7 integrations
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features HoneyHive 1/3 · LangSmith 1/3
Session replay Not checked yet Not checked yet
Prompt and tool tracing Not checked yet Not checked yet
Cost tracking ✓ ✓
Specs
Trace retention Not checked yet Not checked yet
Deployment options Not checked yet Not checked yet
Agent framework support Not checked yet Not checked yet
Our review
Pros
  • Traces prompts, tools, retrieval steps, and agent handoffs
  • Combines automated, human, and LLM-judge evaluations
  • Supports prompt deployments, regression tracking, drift detection, and alerts
  • Tracing covers LLM applications, agents, and tool calls
  • Evaluations, datasets, annotations, and prompt workflows are included
  • Cloud, hybrid, and self-hosted deployment options support varied requirements
Cons
  • Enterprise capabilities use custom pricing
  • SAML and custom SSO are limited to Enterprise
  • Self-hosted, hybrid, and single-tenant options are Enterprise features
  • Usage-based charges apply after included monthly trace allowances
  • Developer is limited to one seat and community support
  • Enterprise security controls and support require custom pricing
Our verdict

HoneyHive is an AI observability and evaluation platform for developers, AI engineering teams, and enterprises operating LLM applications and agents. It records distributed traces across prompts, model calls, tools, retrieval steps, and…

Read the review →

LangSmith is a commercial platform from LangChain Inc. for developing, testing, monitoring, evaluating, and deploying LLM applications and agents. It suits teams working with LangChain, LangGraph, or other frameworks that need visibility…

Read the review →
  1. HoneyHiveAI Agent Observability Tools 8.8Free plan
  2. LangSmithAI Agent Observability Tools 8.7Free plan

Strengths and trade-offs

  • HoneyHive — where it wins

    • Traces prompts, tools, retrieval steps, and agent handoffs
    • Combines automated, human, and LLM-judge evaluations
    • Supports prompt deployments, regression tracking, drift detection, and alerts

    Where it doesn't

    • Enterprise capabilities use custom pricing
    • SAML and custom SSO are limited to Enterprise
    • Self-hosted, hybrid, and single-tenant options are Enterprise features

  • LangSmith — where it wins

    • Tracing covers LLM applications, agents, and tool calls
    • Evaluations, datasets, annotations, and prompt workflows are included
    • Cloud, hybrid, and self-hosted deployment options support varied requirements

    Where it doesn't

    • Usage-based charges apply after included monthly trace allowances
    • Developer is limited to one seat and community support
    • Enterprise security controls and support require custom pricing

More comparisons

All AI agent observability tools comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update