--- name: langsmith-deployment-f3735d17cf6a description: "Deploy and operate production agent servers with LangSmith Deployment. Use when work involves choosing Cloud vs Hybrid/Self-hosted-with-control-plane vs Standalone, preparing/validating langgraph.json, creating deployments or revisions, rolling back revisions, wiring CI/CD to control-plane APIs, configuring environment variables and secrets, setting monitoring/alerts/webhooks, or troubleshooting deployment/runtime/scaling issues for LangChain/LangGraph applications." --- # 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 1. Validate local deployment config. 2. Choose deployment model and endpoint strategy. 3. Create deployment or revision. 4. Configure environment variables and secrets correctly. 5. Configure monitoring and alerts. 6. Verify runtime behavior and keep rollback path ready. ## Script-First Commands ### 1) Validate `langgraph.json` ```bash uv run python skills/langsmith-deployment/scripts/validate_deployment.py --config langgraph.json --target cloud ``` ### 2) Create a Cloud deployment (US default) ```bash 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) ```bash uv run python skills/langsmith-deployment/scripts/deploy_to_langsmith.py \ --name "my-agent-prod" \ --owner my-org \ --repo my-agent-repo \ --region eu ``` ### 4) Use a self-hosted control plane ```bash uv run python skills/langsmith-deployment/scripts/deploy_to_langsmith.py \ --name "my-agent-prod" \ --owner my-org \ --repo my-agent-repo \ --control-plane-url https:///api-host ``` ### 5) Create a revision for an existing deployment ```bash uv run python skills/langsmith-deployment/scripts/deploy_to_langsmith.py \ --name "my-agent-prod" \ --owner my-org \ --repo my-agent-repo \ --deployment-id \ --branch main ``` ### 6) Roll back deployment revision ```bash uv run python skills/langsmith-deployment/scripts/rollback_deployment.py \ --deployment-id \ --list-revisions uv run python skills/langsmith-deployment/scripts/rollback_deployment.py \ --deployment-id ``` ### 7) Generate monitoring + alert setup plan ```bash uv run python skills/langsmith-deployment/scripts/setup_monitoring.py \ --project my-agent-prod \ --output-json /tmp/monitoring-plan.json ``` Note: `setup_monitoring.py` generates a docs-aligned setup plan/templates. Alerts are configured in LangSmith UI per project. ## Configuration Rules To Enforce - `graphs` is required in `langgraph.json`. - For Python projects, `dependencies` is required. - For JS projects (`node_version` present), dependencies may be handled via `package.json`. - `env` may be either a string path to an env file or an inline object map. - `python_version` should be one of `3.11`, `3.12`, `3.13` when set. - `pip_installer` should be one of `auto`, `pip`, `uv` when set. - `node_version` currently documented for LangGraph.js as `20`. ## API/Endpoint Notes - LangSmith Deployment control-plane API defaults are: - US: `https://api.host.langchain.com`. - EU: `https://eu.api.host.langchain.com`. - Self-hosted control-plane base URL is typically `https:///api-host`. - For org-scoped API keys, include workspace/tenant id (`X-Tenant-Id`), exposed by scripts as `--tenant-id`. ## Secrets And Environment Guidance - Never hardcode secrets in `langgraph.json` or source code. - Prefer environment injection from deployment UI, Kubernetes Secrets, or cloud secret managers. - Avoid passing secrets in shell arguments when possible; prefer `LANGSMITH_API_KEY` env var. - In control-plane deployment flows, tracing auth env handling differs from standalone; rely on deployment model docs before overriding tracing/auth vars. - For standalone server, ensure required runtime vars are present (`DATABASE_URI`, `REDIS_URI`, license key, and any app provider keys). ## Verification After Deploy - Check deployment/revision status in LangSmith Deployments UI. - Verify server API and health endpoints from deployment runtime (`/docs` etc.). - Run a smoke invocation against your assistant/graph. - Confirm traces, latency, and error metrics in Monitoring dashboards. ## References To Load By Task - `references/deployment-guide.md`: Deployment model choice and end-to-end execution. - `references/cicd-integration.md`: CI/CD stages, control-plane automation patterns, preview/prod strategy. - `references/environment-management.md`: Env var sources, secrets patterns, standalone required vars. - `references/monitoring-alerts.md`: Dashboards, alert model, webhook payload guidance. - `references/scaling-configuration.md`: Scaling responsibilities by model and tuning knobs. - `references/troubleshooting-deployment.md`: Failure triage and rollback strategy. ## Script Map - `scripts/validate_deployment.py`: Validate `langgraph.json` and deployment readiness. - `scripts/deploy_to_langsmith.py`: Create deployment or revision via control-plane API. - `scripts/deploy_to_langsmith.ts`: TypeScript equivalent deploy/revision script. - `scripts/rollback_deployment.py`: List and rollback revisions. - `scripts/setup_monitoring.py`: Generate alert/dashboard/webhook setup plan. ## Assets - `assets/templates/langgraph-cloud.json`: Cloud-oriented starter config. - `assets/templates/github-actions-deploy.yml`: CI/CD template for deployment automation. - `assets/templates/kubernetes-deployment.yaml`: Kubernetes template for self-managed environments. - `assets/templates/.env.example`: Env var template for safe sharing. --- Source attribution: Lubu-Labs Original project: https://github.com/Lubu-Labs/langchain-agent-skills License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 Gabriel Moreira Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: Lubu-Labs Original project: https://github.com/Lubu-Labs/langchain-agent-skills Attribution basis: Upstream repository explicitly recorded in package mirror path Fields of work: Development & Engineering Roles: Backend Developer, DevOps / SRE, ML / AI Engineer Specialties: Backend, DevOps Tools: GitHub, Langsmith Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 466d74c6620194b24f34d21f8ce6361e8d1d64d77e4849cf89820162a23a7cc8