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langsmith-deployment

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 con

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Preis unbestätigt★ 106 GitHub-StarsVerzeichnis aktualisiert · 7. Sept. 2026agent-skill

Übersicht

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.

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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

ModelUse whenBuild/SourceOperates infra
CloudFastest managed production pathGitHub repo via control planeLangSmith
Hybrid/Self-hosted with control planeYou need private data plane + centralized deployment UI/APIContainer image + control planeYou
Standalone serverYou want direct Agent Server hosting without control planeContainerized serverYou

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
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
4) Use a self-hosted control plane
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://<your-langsmith-host>/api-host
5) Create a revision for an existing deployment
uv run python skills/langsmith-deployment/scripts/deploy_to_langsmith.py \
  --name "my-agent-prod" \
  --owner my-org \
  --repo my-agent-repo \
  --deployment-id <deployment-id> \
  --branch main
6) Roll back deployment revision
uv run python skills/langsmith-deployment/scripts/rollback_deployment.py \
  --deployment-id <deployment-id> \
  --list-revisions

uv run python skills/langsmith-deployment/scripts/rollback_deployment.py \
  --deployment-id <deployment-id>
7) Generate monitoring + alert setup plan
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://<host>/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.
Quelle ansehen ↗
Dateimetadaten
name: langsmith-deployment
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."
Originaltext anzeigen
---
name: langsmith-deployment
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://<your-langsmith-host>/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 <deployment-id> \
  --branch main
```

### 6) Roll back deployment revision

```bash
uv run python skills/langsmith-deployment/scripts/rollback_deployment.py \
  --deployment-id <deployment-id> \
  --list-revisions

uv run python skills/langsmith-deployment/scripts/rollback_deployment.py \
  --deployment-id <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://<host>/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.

Quelle prüfen

Preis und Betriebskosten

Skill beziehen
Preis unbestätigt
Ausführen
Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
Lizenz
MIT
Preis unbestätigt
Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.

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Skill-Quelle erfasst

Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.

Vor Installation prüfen: Automatische Installation vermeiden

Lizenz: MIT

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • The full content of the deployment scripts (validate_deployment.py, deploy_to_langsmith.py, rollback_deployment.py, setup_monitoring.py) is not provided in the excerpt, so their internal security practices (e.g., input validation, error handling, secret handling) cannot be fully verified. However, the documented usage and templates follow secure patterns.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 106 stars, 15 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
Vollständiges Audit öffnen

Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.

Mit einer kleinen Aufgabe beginnen

  1. 1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
  2. 2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
  3. 3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.

Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.

Quelle und Nutzungshinweise

Erfasst

Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.

Quell-Repository
soba-labs/langchain-agent-skills
Lizenz
MIT
Version
1.0.0
Letzter GitHub-Push
17. Aug. 2026
Verzeichnis aktualisiert
7. Sept. 2026
Anleitungspfad
skills/langsmith-deployment/SKILL.md @ a2d4a1011bd7

Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.

Qualität

64/100

Vielversprechend

Vertrauen

59/100

Do not auto-install

Audit

72/100

Prüfung nötig

Vollständiges Audit öffnenEval-Bericht ansehen
  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • The full content of the deployment scripts (validate_deployment.py, deploy_to_langsmith.py, rollback_deployment.py, setup_monitoring.py) is not provided in the excerpt, so their internal security practices (e.g., input validation, error handling, secret handling) cannot be fully verified. However, the documented usage and templates follow secure patterns.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 106 stars, 15 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
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Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.

Agent-Zugang

Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.

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Weitere Details
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      "not_relevant": 0,
      "success_rate": null,
      "recent_success_rate": null,
      "recent_failure_rate": null,
      "install_attempts": 0,
      "install_success_rate": null,
      "risk_blocked": 0,
      "setup_required": 0,
      "avg_output_quality": null,
      "production_outcomes": 0,
      "last_outcome_at": null,
      "label": "No agent outcome data yet"
    },
    "auto_install": {
      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "security",
      "agent-skill"
    ],
    "known_risks": [
      "The full content of the deployment scripts (validate_deployment.py, deploy_to_langsmith.py, rollback_deployment.py, setup_monitoring.py) is not provided in the excerpt, so their internal security practices (e.g., input validation, error handling, secret handling) cannot be fully verified. However, the documented usage and templates follow secure patterns.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Stars/forks activity: 106 stars, 15 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 72,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "The full content of the deployment scripts (validate_deployment.py, deploy_to_langsmith.py, rollback_deployment.py, setup_monitoring.py) is not provided in the excerpt, so their internal security practices (e.g., input validation, error handling, secret handling) cannot be fully verified. However, the documented usage and templates follow secure patterns.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Stars/forks activity: 106 stars, 15 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 64,
    "label": "Promising"
  },
  "supply": {
    "track": "Coding and developer agents",
    "scenario": "GitHub automation",
    "maintenance": "2mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "The full content of the deployment scripts (validate_deployment.py, deploy_to_langsmith.py, rollback_deployment.py, setup_monitoring.py) is not provided in the excerpt, so their internal security practices (e.g., input validation, error handling, secret handling) cannot be fully verified. However, the documented usage and templates follow secure patterns.",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Quality score needs review",
    "Permission surface needs review: secrets or environment access, shell or command execution"
  ],
  "agent_contract": {
    "task_input": "Use langsmith-deployment in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 67/100 Manual review",
      "Audit: 72/100 Needs review",
      "Safety: 32/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "soba-labs-langsmith-deployment (langsmith-deployment)",
      "install_command": "npx skills add soba-labs/langchain-agent-skills --skill langsmith-deployment",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "soba-labs-langsmith-deployment",
      "task": "Use langsmith-deployment in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/soba-labs-langsmith-deployment",
    "api": "https://www.openagentskill.com/api/agent/skills/soba-labs-langsmith-deployment",
    "audit": "https://www.openagentskill.com/skills/soba-labs-langsmith-deployment/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=soba-labs-langsmith-deployment&task=Use%20langsmith-deployment%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20langsmith-deployment%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20langsmith-deployment%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/soba-labs-langsmith-deployment/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/soba-labs-langsmith-deployment"
  }
}

Für Ersteller

Quelle des Eintrags

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Ersteller
soba-labs
Indexiert von
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