What is langsmith-deployment?

A deployment guide for LangGraph agents, which are programs built as connected steps, running through LangSmith Deployment.

Use it to validate langgraph.json, create deployments and revisions, roll back releases, connect deployment to CI/CD, and configure monitoring.

It helps choose between managed, partly self-hosted, and standalone hosting and reduces configuration and release mistakes.

langsmith-deployment — Skill for Claude Code by soba-labs

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add soba-labs/langchain-agent-skills --skill langsmith-deployment

Clone the repo

git clone --depth 1 https://github.com/soba-labs/langchain-agent-skills

Made for: Claude Code.

Or install langsmith-skills, the plugin that ships this one along with the rest of its 3 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/soba-labs/langchain-agent-skills/langsmith-deployment/github.svg)](https://agentmods.dev/skills/soba-labs/langchain-agent-skills/langsmith-deployment)

Your own site

<a href="https://agentmods.dev/skills/soba-labs/langchain-agent-skills/langsmith-deployment"><img src="https://agentmods.dev/badge/skills/soba-labs/langchain-agent-skills/langsmith-deployment/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/soba-labs/langchain-agent-skills/langsmith-deployment"><img src="https://agentmods.dev/badge/skills/soba-labs/langchain-agent-skills/langsmith-deployment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,511 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00088	$0.01511
Opus 5.5	$0.00035	$0.00604
Sonnet 5.5	$0.00018	$0.00302
Haiku 4.5	$0.00009	$0.00151

Measured 2mo ago against content hash f3735d17cf6a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

langsmith-deployment scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/deploy_to_langsmith.py, scripts/deploy_to_langsmith.ts, scripts/rollback_deployment.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/langsmith-deployment/SKILL.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LangSmith Deployment

Use this skill to deploy, revise, monitor, and troubleshoot LangGraph-based agents in LangSmith Deployment.

Use This Skill When

You need to deploy a new agent to LangSmith Cloud.
You need to create a new deployment revision from Git changes or env changes.
You need rollback guidance for a failing revision.
You need to choose deployment model: Cloud, Hybrid/Self-hosted with control plane, or Standalone server.
You need CI/CD automation using LangSmith Deployment control-plane APIs.
You need monitoring and alert setup aligned with current LangSmith alert model.
You need langgraph.json validation and deployment compatibility checks.

Deployment Model Selection

Model	Use when	Build/Source	Operates infra
Cloud	Fastest managed production path	GitHub repo via control plane	LangSmith
Hybrid/Self-hosted with control plane	You need private data plane + centralized deployment UI/API	Container image + control plane	You
Standalone server	You want direct Agent Server hosting without control plane	Containerized server	You

Core Workflow

Validate local deployment config.
Choose deployment model and endpoint strategy.
Create deployment or revision.
Configure environment variables and secrets correctly.
Configure monitoring and alerts.
Verify runtime behavior and keep rollback path ready.

Script-First Commands

1) Validate `langgraph.json`

uv run python skills/langsmith-deployment/scripts/validate_deployment.py --config langgraph.json --target cloud

2) Create a Cloud deployment (US default)

uv run python skills/langsmith-deployment/scripts/deploy_to_langsmith.py \
  --name "my-agent-prod" \
  --owner my-org \
  --repo my-agent-repo \
  --branch main \
  --config langgraph.json

3) Create a Cloud deployment (EU)

uv run python skills/langsmith-deployment/scripts/deploy_to_langsmith.py \
  --name "my-agent-prod" \
  --owner my-org \
  --repo my-agent-repo \
  --region eu

Read the full file on GitHub · 164 lines

Files

What ships with it

15 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 164 lines · 88 tokens per session scan A f3735d17cf6a

Subscribe to this mod's changes

langsmith-deployment is a skill published in the GitHub repository soba-labs/langchain-agent-skills (106 stars, last pushed 18d ago), licensed MIT. It adds 88 tokens to every session and 1,511 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Building agents DevOps and cloud

langsmith-deployment next to 6 skills from other repositories
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