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Tools/LangSmith/vs Langfuse
LangSmith

LangSmith

observability
vs
Langfuse

Langfuse

observability

LangSmith vs Langfuse — Comparison

15 integrations14 featuresSeries B
15 integrations1 features870,710 npm/wkMerger / Acquisition
Overview
What each tool does and who it's for

LangSmith

View in LangSmith

LangSmith is recognized for its capabilities in providing observability for AI agents, a necessary feature due to the risk associated with running these agents in production environments. A key complaint highlighted is that LangSmith is a cloud-only service with paid access, which may not be ideal for all users, especially those preferring open-source alternatives. The general sentiment around its pricing is somewhat negative, as users express a preference for non-commercial options. Overall, LangSmith appears to have a solid reputation for its functional strengths but faces criticism regarding its availability and cost structure.

Langfuse

Traces, evals, prompt management and metrics to debug and improve your LLM application.

Langfuse is recognized for its capability to effectively track LLM calls, providing visibility into AI operations which is crucial for production environments. However, some users have raised concerns about its lack of understanding of agent topology and potential interoperability limitations with other tracing formats. There isn't much specific sentiment mentioned about pricing, but there seems to be an implication that it's a paid solution compared to some open-source alternatives. Overall, Langfuse is appreciated as a valuable tool for observability in AI, though it faces some competition from both paid and open-source tools offering varied features.

Key Metrics
—
GitHub Stars
24,100
—
GitHub Forks
2,434
—
npm Downloads/wk
870,710
—
PyPI Downloads/mo
19,249,322
Mention Velocity
How discussion volume is trending week-over-week

LangSmith

Stable week-over-week

Langfuse

+100% vs last week
Where People Discuss
Mention distribution across platforms

LangSmith

Reddit
46%
YouTube
38%
Hacker News
15%

Langfuse

Reddit
62%
YouTube
24%
Hacker News
10%
Dev.to
5%
Community Sentiment
How developers feel about each tool based on mentions and reviews

LangSmith

15% positive77% neutral8% negative

Langfuse

19% positive81% neutral0% negative
Pricing

LangSmith

Langfuse

subscription + tiered

Pricing found: $29 / month, $8/100k, $199 / month, $8/100k, $300/mo

Use Cases
When to use each tool

LangSmith (9)

Monitoring AI agent performance in productionDebugging issues in multi-agent systemsEvaluating the effectiveness of AI agentsPreventing data loss in AI applicationsManaging deployment of AI agentsIntegrating observability into CI/CD workflowsTracking user interactions with AI agentsAnalyzing agent behavior over timeSetting up alerts for performance anomalies

Langfuse (8)

Monitoring LLM performance in productionTracking API usage and costsAnalyzing user interactions with LLMsIdentifying bottlenecks in LLM workflowsDebugging multi-agent systemsOptimizing LLM response timesConducting A/B testing on LLM outputsCollecting feedback for LLM improvements
Features

Only in LangSmith (14)

Agent debugging toolsPerformance monitoring dashboardsReal-time observability metricsError tracking and reportingAgent performance evaluationDeployment management for AI agentsCustomizable alerting systemIntegration with CI/CD pipelinesUser activity trackingData loss prevention mechanismsMulti-agent system supportCloud-based infrastructureVersion control for agent configurationsCollaboration tools for development teams

Only in Langfuse (1)

Gain deep visibility into your traces
Integrations

Shared (11)

OpenAIAWS LambdaGoogle Cloud PlatformMicrosoft AzureSlackJiraGitHubZapierDatadogPrometheusGrafana

Only in LangSmith (4)

CircleCIDockerKubernetesTwilio

Only in Langfuse (4)

ClickhouseTrelloNotionSentry
Developer Ecosystem
—
GitHub Repos
18
—
GitHub Followers
828
—
npm Packages
20
—
HuggingFace Models
22
Pain Points
Top complaints from reviews and social mentions

LangSmith

cost tracking (4)anthropic bill (1)openai bill (1)token usage (1)

Langfuse

cost tracking (3)anthropic bill (1)surprise bill (1)cost monitoring (1)usage monitoring (1)token usage (1)
Top Discussion Keywords
Most mentioned keywords from community discussions

LangSmith

cost tracking (4)anthropic bill (1)openai bill (1)token usage (1)

Langfuse

cost tracking (3)anthropic bill (1)surprise bill (1)cost monitoring (1)usage monitoring (1)token usage (1)
Latest Videos
Recent uploads from official YouTube channels

LangSmith

No YouTube channel

Langfuse

Langfuse Context: All things MCP with Adam Jones (Tech Lead at Anthropic)

Langfuse Context: All things MCP with Adam Jones (Tech Lead at Anthropic)

Jan 6, 2026

Continuous Evaluation, Monitoring, and Operations of AI Agents with AWS Bedrock AgentCore & Langfuse

Continuous Evaluation, Monitoring, and Operations of AI Agents with AWS Bedrock AgentCore & Langfuse

Nov 25, 2025

Collect User Feedback of your LLM Agent in Langfuse

Collect User Feedback of your LLM Agent in Langfuse

Nov 14, 2025

Langfuse Launch Week Day 6: Dataset Schema Enforcement & Folders

Langfuse Launch Week Day 6: Dataset Schema Enforcement & Folders

Nov 8, 2025

Product Screenshots

LangSmith

No screenshots

Langfuse

Langfuse screenshot 1Langfuse screenshot 2
What People Talk About
Most discussed topics from community mentions

LangSmith

pricing1
performance1
documentation1
api1
open source1
deployment1
model selection1
RAG1

Langfuse

pricing3
api3
model selection3
agents3
cost optimization3
scalability2
open source2
streaming2
Top Community Mentions
Highest-engagement mentions from the community

LangSmith

Ask HN: How are you monitoring AI agents in production?

With the recent incidents (DataTalks database wipe by Claude Code, Replit agent deleting data during code freeze), it&#x27;s clear that running AI agents in production without observability is risky.<p>Common failure modes I&#x27;ve seen: no visibility into what the agent did step-by-step, surprise

Hacker Newsby jairoohpositive source

Langfuse

OpenTelemetry just standardized LLM tracing. Here's what it actually looks like in code.

Every LLM tool invents its own tracing format. Langfuse has one. Helicone has one. Arize has one. If...

Dev.toby vola-treblaneutral source
Company Intel
information technology & services
Industry
information technology & services
98
Employees
19
$260.0M
Funding
$4.1M
Series B
Stage
Merger / Acquisition
Supported Languages & Categories

Only in Langfuse (5)

AI/MLDevOpsSecurityAnalyticsDeveloper Tools
View LangSmith Profile View Langfuse Profile