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Automate LangSmith with AI Agents.

Automate AI app evaluation and observability with LangSmith and AI workers. Use Toolhouse to monitor runs, surface failures, and keep LLM workflows improving over time.

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Your LangSmith AI Worker

LangSmith AI Worker

Active

You: Review the last 7 days of LLM traces for our customer support bot. Flag failed or low-quality runs, group them by root cause, and draft a priority list for what we should fix first.

Scanning recent LangSmith traces...

Clustering failures by root cause and business impact...

43 low-quality runs grouped into 3 fixable failure patterns.

The worker surfaced the most common issues affecting support quality, including retrieval misses, prompt formatting errors, and incomplete handoffs. Instead of manually...

43Runs flagged

3Failure patterns found

6 hours of manual trace reviewBeforeto9 minWith Toolhouse

Use cases

Top LangSmith automation use cases

Use case 1

Monitor LLM run quality

Toolhouse AI workers can use LangSmith to monitor how LLM-powered workflows perform across support, operations, and customer-facing automations. Workers can watch trace activity, flag quality drops, and identify patterns that suggest prompt or workflow issues. This helps teams catch performance problems before they affect more users. It turns AI monitoring into a repeatable operational workflow instead of a manual review task.

Your LangSmith AI Worker

LangSmith AI Worker

Active

You: Compare prompt versions for our sales qualification assistant, evaluate answer quality against our latest test set, and tell me which version should go live.

Running prompt evaluations across test traces...

Comparing quality scores and misclassification rates...

New prompt version improved qualification accuracy by 18%.

The worker evaluated both prompt versions against your test workflow and identified the stronger option for production. It highlighted where the improved version better...

2Prompt versions tested

18Accuracy lift

2 days of manual prompt QABeforeto14 minWith Toolhouse

Use case 2

Investigate failed traces faster

When AI workflows fail, teams often waste time digging through logs and scattered context. With LangSmith in the workflow, AI workers can summarize failed traces, highlight likely causes, and route the issue to the right operator or builder. That speeds up troubleshooting and reduces downtime for AI-powered support, content, and internal automation systems. Faster investigation means teams can improve reliability without adding more manual overhead.

Your LangSmith AI Worker

LangSmith AI Worker

Active

You: Investigate yesterday's spike in failed content-generation runs, summarize what broke, and prepare an update I can share with product and operations.

Reviewing failed runs from the last 24 hours...

Summarizing incident patterns for stakeholders...

Failure spike isolated to 1 broken workflow dependency.

The worker summarized the failed traces, identified the common failure point, and translated the technical issue into a clear cross-functional update. That means product...

127Failed runs analyzed

1Primary causes isolated

8 hours of manual investigationBeforeto11 minWith Toolhouse

Use case 3

Automate prompt evaluation workflows

Prompt testing and evaluation are critical, but they are often inconsistent across teams. Toolhouse can use LangSmith to automate evaluation workflows that compare prompt versions, track outputs, and surface regressions that need review. AI workers can help standardize how teams improve customer service bots, lead generation assistants, and workflow automation agents. This creates a more reliable process for improving AI quality over time.

Your LangSmith AI Worker

LangSmith AI Worker

Active

You: Create a weekly executive summary of AI worker performance across support, lead qualification, and internal ops. Show trace volume, failure trends, and which workflows need attention.

Aggregating workflow performance metrics...

Building an executive summary from LangSmith activity...

Weekly AI performance report delivered across 3 business workflows.

The worker translated raw LangSmith activity into an executive-ready summary with clear trends, operational risk areas, and where quality is improving. Leaders get a sim...

3Workflows reported

1846Weekly traces summarized

weekly manual reportingBeforeto7 minWith Toolhouse

Use case 4

Report AI performance to teams

Non-technical leaders still need visibility into whether AI workers are helping or hurting business operations. AI workers can turn LangSmith activity into clear reporting on trace volume, failure trends, response quality, and workflow health. That makes it easier for support, operations, and product teams to understand where automation is performing well and where it needs attention. Better reporting helps teams justify AI investments and prioritize improvements.

Your Langsmith AI Worker

Langsmith AI Worker

Active

You: Automate AI app evaluation and observability with LangSmith and AI workers. Use Toolhouse to monitor runs, surface failures, and keep LLM workflows improving over time.

Reading workflow context...

Preparing the next best action...

Report AI performance to teams

Non-technical leaders still need visibility into whether AI workers are helping or hurting business operations. AI workers can turn LangSmith activity into clear reporti...

-Tasks handled

-Actions ready

manualBeforetominutesWith Toolhouse

Use case 5

Route issues from production signals

Production AI workflows generate signals that matter only if someone acts on them quickly. Toolhouse AI workers can use LangSmith to detect risky patterns, route incidents into internal workflows, and trigger follow-up tasks when quality or reliability changes. This is especially useful for businesses running AI-powered support, outbound automation, or content generation at scale. Teams can respond faster and keep important workflows stable as usage grows.

Your Langsmith AI Worker

Langsmith AI Worker

Active

You: Automate AI app evaluation and observability with LangSmith and AI workers. Use Toolhouse to monitor runs, surface failures, and keep LLM workflows improving over time.

Reading workflow context...

Preparing the next best action...

Route issues from production signals

Production AI workflows generate signals that matter only if someone acts on them quickly. Toolhouse AI workers can use LangSmith to detect risky patterns, route inciden...

-Tasks handled

-Actions ready

manualBeforetominutesWith Toolhouse

Testimonials

What our customers say

1,000,000+ agents· 15,000+ teams· 1,000+ integrations· Start for free

“We built in record time what would have taken weeks otherwise! I can honestly say that without Toolhouse, our team would have been spending much MUCH more time delivering AI features in the products we're building.”

Marcos Ocón

COO @ Develative (Developer Agency)

EngineeringSince 2025

“I built an agent that qualifies my leads and books calls automatically. No developer, no agency. It paid for itself in the first week.”

Andrew Njoo

Founder @ Stack2Sale

MarketingSince 2025

“Our team of 12 was drowning in repetitive tasks. We described what we needed and the agent just worked. We didn't write a single line of code.”

Kristian Freeman

Manager @ Large Engineering Company

InfrastructureSince 2025

Pricing

Simple, transparent pricing

Start free, scale as you grow. No hidden fees, no surprises.

Business

$500/month

Includes FREE unlimited tokens

Credits / month25,000
Workers50
Log retention30 days
Worker email inboxIncluded
OnboardingIncluded
Organizations—
Account engineer—
SupportSlack, Email

Start now →

No credit card needed

For scaling businesses

Business Max

$1,200/month

Includes FREE unlimited tokens

Credits / month80,000
Workers500
Log retention1 year
Worker email inboxIncluded
OnboardingIncluded
OrganizationsIncluded
Account engineerOn demand
SupportPriority (Slack, Email, Phone)

Start now →

No credit card needed

For larger companies

Enterprise

Custom

For scaling needs

Credits / monthVolume pricing
WorkersUnlimited
Log retentionCustom
Worker email inboxIncluded
OnboardingIncluded
OrganizationsIncluded
Account engineerNamed
SupportCustom

Talk to sales →

14-day free trial on all plans · cancel anytime

FAQ

Using Langsmith with AI workers

Common questions about LangSmith automation with AI workers.

How can Toolhouse automate LangSmith workflows?

Toolhouse lets you build AI workers that use LangSmith to monitor traces, investigate failures, automate prompt evaluation, route production issues, and report on AI workflow performance.

Is LangSmith useful for AI operations and monitoring?

Yes. LangSmith is a strong fit for AI operations because it helps teams observe LLM behavior, evaluate quality, and improve workflow reliability across production use cases.

What business value comes from LangSmith automation?

LangSmith automation helps businesses reduce manual debugging, improve AI worker quality, respond faster to failures, and scale AI-driven operations with better visibility.

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Turn your best documented process into a repeatable AI worker job.

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