- Verified by BizGlocal
Broad Agent Observability, Evaluation And Deployment Platform For Teams Building With LLMs
- 150+
- 2023
- San Francisco, CA
- 6+
About LangSmith
Industry leader in connected fleet operations
Market Position
A venture-backed leader in LLM observability competing with Weights & Biases, Arize AI, Langfuse and Datadog, with logos on its site that include Klarna, Lyft, Vanta, Rippling, Workday, Cisco, Nvidia and Coinbase.
Innovation Focus
SmithDB, a database built for agent trace queries, Insights that cluster production topics, Engine for autonomous agent improvement, Sandboxes for agent-generated code, and Fleet for no-code company agents.
Core Strengths
Native tracing with OpenTelemetry support, SDKs for Python, TypeScript, Go and Java, evaluators from heuristics to LLM-as-judge, human annotation queues and self-hosting on Kubernetes.
Use Cases
Debugging multi-step agents, regression testing before release, monitoring cost and latency in production, prompt versioning, deploying long-running agents and giving non-engineers governed agents.
Core Products & Solutions
Observability And Tracing
Step-by-step traces for agents, with native support for popular frameworks, OpenTelemetry, message threading for multi-turn chats, and SDKs for Python, TypeScript, Go and Java. It also works with the OpenAI SDK, Anthropic SDK, Vercel AI SDK and LlamaIndex.
Monitoring And Insights
Real-time dashboards for token usage, P50 and P99 latency, error rates, cost and feedback scores, with webhook and PagerDuty alerts. Insights adds unsupervised topic clustering, error analysis templates and an executive summary.
Evaluation
Curated datasets, offline evals to catch regressions, online evals on live traffic, LLM-as-judge, pairwise comparison, code evaluators and human annotation queues. Evals plug into pytest, Vitest and GitHub workflows with score thresholds that can fail a pipeline.
Prompt Hub And Playground
Prompts can be created, versioned with commits, tagged and shared through the public hub. The Playground lets teams test prompts against custom endpoints and model configurations, with tools and multimodal inputs.
LangSmith Deployment
Formerly LangGraph Platform, renamed in October 2025. It offers durable execution, streaming, human-in-the-loop approvals, autoscaling, a task queue and 30+ API endpoints for long-running agents.
Fleet, Sandboxes, Engine And LLM Gateway
Fleet is a no-code agent builder that works in Slack, Teams and Gmail with per-tool approvals. Sandboxes run agent-generated code, Engine improves agents on a schedule, and LLM Gateway controls model calls.
Pricing Overview
Developer
Solo developers and small projects testing tracing and evaluation
$0per seat per month
$0 per seat per month, 1 seat, then pay as you go
- Includes 5,000 base traces per month, then pay as you go
- Base traces keep 14-day retention, and extended traces keep 180 days
- Community support only
- Deployment is not available on this plan
- Fleet includes 7 LSU per organization per month, and new runs pause when it is used up
Plus
Teams shipping agents to production that need deployment and collaboration
$39per seat per month
$39 per seat per month, unlimited seats, then pay as you go
- Includes 10,000 base traces per month, then pay as you go
- One free Serverless (Small) deployment, with more billed by resource use
- Access to Deployment, Engine and other paid products
- Fleet includes 37 LSU per month, with extra usage billed
- Seats are billed monthly, and traces are billed monthly in arrears
Enterprise
Larger organizations with security, residency or self-hosting requirements
Custom
Pricing
Custom, invoiced annually upfront
- Self-hosted and hybrid deployment options
- Custom SSO, ABAC and RBAC
- Support SLA
- Custom seats and workspaces
- Engine usage draws from committed credits
Who Is LangSmith Best For?
Small Businesses
1-25 EmployeesA strong fit for technical teams. The free Developer plan and $39 per seat Plus plan make tracing and evals affordable, though non-technical teams may find the interface heavy at first.
Mid-Market Companies
26-100 EmployeesA good fit for teams moving agents into production, who can use Plus with unlimited seats, one free deployment and online evals. Model usage and trace costs grow with volume, so set budgets early.
Enterprise Companies
100+ EmployeesThe core audience for governance. Enterprise adds self-hosting on Kubernetes in AWS, GCP or Azure, SSO, RBAC and ABAC, a support SLA, and the vendor reports SOC 2 Type 2 and HIPAA compliance.
Teams Building Agents In Finance, Healthcare, Logistics And Software
Any SizeLangChain’s customer page features Klarna, MUFG Bank, City of Hope, Madrigal Pharmaceuticals, C.H. Robinson, Morningstar and monday.com, which cover finance, healthcare, logistics and software.
Measurable Impact & Benefits
9X
Faster Feedback Loops At monday.com
Result LangChain reports for monday.com using LangSmith evals
6X
Faster Time To Production At Madrigal
Time to production cut from 12 weeks to 2, as stated on LangChain’s customers page
80%
Lower Resolution Time At Klarna
Customer support resolution time reported for Klarna’s AI assistant, with no LangSmith-only attribution
550,000+
Developer Hours Saved At Factory
Time savings LangChain lists for Factory, alongside 2x faster iteration
12X
Faster Trace Queries With SmithDB
Trace query time falling from 860ms to 71ms, per LangChain, with no test conditions given
15X
Faster Full-Text Search
Search time falling from 6.20s to 400ms in LangChain’s SmithDB figures
100M+
Traces Processed Monthly
Platform-wide volume claimed on the customers page, alongside 7K+ teams
4.4
Rating On G2
Average score across 78 reviews
LangSmith Real reviews
Our Rating:
4.4
- Verified Users
- Verified Users
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LangSmith’s Pros & Cons
Balanced evaluation to help you make an informed decision
Strengths
- Tracing for agents and LLM calls with OpenTelemetry and four SDK languages
- Works beyond LangChain, including OpenAI, Anthropic, Vercel AI SDK and LlamaIndex
- Offline and online evals, LLM-as-judge, pairwise tests and human annotation queues
- Dashboards, cost tracking, Insights clustering and PagerDuty alerts
- Prompt hub, versioning and Playground in the same workspace
- Managed deployment with durable execution and human-in-the-loop approvals
- Cloud regions in the US, EU and APAC, BYOC and self-hosting, SOC 2 Type 2 and HIPAA reported
Limitations
- Per-trace overage rates are not published, and reviewers find costs hard to forecast
- Reviewers describe a steep learning curve and a busy interface
- Self-hosting, SSO and SLAs sit behind Enterprise contracts
- Hosted organizations cannot move between regions, and there is no EU contracting entity
- Several products, such as Tuned Evaluators, are in beta or metered separately
- Reviewers want more plug-and-play integrations outside the LangChain ecosystem
Our Verdict
LangSmith earns its place in BizGlocal’s Best in Features list for AI LLMOps & Observability because it puts tracing, monitoring, Insights, offline and online evaluation, annotation queues, a prompt hub and playground, managed agent deployment, sandboxes, an LLM gateway and a no-code agent builder in one platform. It works with OpenTelemetry and non-LangChain code, runs in several cloud regions or self-hosted, and reports SOC 2 Type 2 and HIPAA compliance. The trade-offs are cost forecasting, complexity and maturity. Trace overage rates are not published, reviewers describe a learning curve, and some newer products are in beta. Feature breadth alone does not mean it is the best fit for a small team that needs only basic tracing. Buyers should pilot on real traces, model costs at their expected volume, confirm region and compliance needs, and compare Weights & Biases and Arize AI before committing.
Resources
Resources & Documentation
Detailed materials for deeper evaluation
LangSmith Platform Overview
Observability, evaluation, deployment, Sandboxes, LLM Gateway and Fleet
Observability
Tracing, monitoring, Insights and SmithDB with SDK and framework support
Evaluation
Datasets, offline and online evals, LLM-as-judge and annotation queues
Deployment
Durable execution, streaming, human-in-the-loop and autoscaling for agents
Fleet
No-code agents for Slack, Teams and Gmail with approvals and access control
Pricing
Plan prices, trace retention, deployment rates and metered products
Customer Stories
Klarna, monday.com, Madrigal, Factory, Morningstar and other published results
Regions And Trust
Cloud regions, data residency, compliance and the LangChain Trust Center
What to Know
What to Know Before Buying
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Decide which applications to trace first and what retention each needs -
Define datasets and evaluation criteria before turning on online evals
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Plan for engineers to learn the concepts, since reviewers describe a learning curve
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Plan SDK or OpenTelemetry instrumentation, model provider keys for evaluators, and CI hooks for pytest, Vitest or GitHub. Fleet connects to tools through OAuth integrations and remote MCP servers.
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LangChain claims 100M+ traces processed monthly and horizontal scaling for deployments. It publishes no per-customer limits, so confirm ingestion volume and query performance with sales.
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Ask about trace overage, the fee to upgrade base traces to 180-day extended retention, deployment compute billed in LSU, Fleet, Sandboxes and Engine usage, and seats on Plus.
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Moving from another tool means re-instrumenting code, recreating datasets and evaluators, and porting prompts. Organizations cannot move between cloud regions, so choose the region first.
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Developer and Plus bill monthly, while Enterprise is invoiced annually upfront. Request the Data Processing Addendum, retention terms and security reports in writing.
Alternatives
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Weights & Biases lists Free, Pro from $60 per month and custom Enterprise plans, with Weave for tracing, evaluations, a playground and online monitors, plus experiment tracking and a model registry, and it is now part of CoreWeave Forge, while LangSmith centers on agent tracing, evals and deployment.
Arize lists a free AX tier with 25k spans and 15-day retention, AX Pro at $50 per month with 50k spans, and custom Enterprise with self-hosting, plus the open source Phoenix, while LangSmith adds managed deployment and a no-code agent builder.
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FAQ’s
Frequently Asked Questions
Common questions about LangSmith
Developer is $0 per seat with 5,000 base traces a month, Plus is $39 per seat with 10,000 base traces and one free Serverless deployment, and Enterprise is custom. Overage is pay as you go, and per-trace rates are not listed on the pricing page.
Yes. The free Developer plan has one seat and Plus has unlimited seats, so small technical teams can start without a contract. Startups can apply for up to $10,000 in credits.
LangChain’s docs say LangSmith is SOC 2 Type 2 certified, HIPAA compliant and GDPR compliant, and its site says it will not train on your data. Request reports through the Trust Center and a Data Processing Addendum through support.
No. Its site lists native tracing for popular frameworks, OpenTelemetry, the OpenAI SDK, Anthropic SDK, Vercel AI SDK and LlamaIndex, plus SDKs for Python, TypeScript, Go and Java. A G2 reviewer still asks for more plug-and-play integrations outside LangChain.
Enterprise customers can self-host on Kubernetes in AWS, GCP or Azure, and bring-your-own-cloud is listed. Managed cloud regions include GCP US, EU and APAC and AWS US, and an organization cannot be moved between regions later.
LangGraph Platform was renamed LangSmith Deployment in October 2025. It hosts long-running agents with durable execution, streaming, human-in-the-loop approvals and autoscaling, and Plus includes one free Serverless (Small) deployment.
Fleet is a no-code platform for building agents that run in Slack, Teams and Gmail, with per-tool human approval and admin control over credentials and tools. Every run is traced in LangSmith, and usage is metered in LSU.
Common alternatives include Weights & Biases, Arize AI, Langfuse, Datadog and Braintrust, which differ in open source options, pricing model, deployment features and ecosystem fit.