managed-deep-agents

Orchestrate Managed Deep Agents via the LangSmith REST API.

Updated May 29, 2026

Search Tags:#agents #mcp-servers #interrupts #langsmith #managed-deep-agents #streaming-runs

Ready to run

npx skills add https://github.com/patorn/langgraph-template --skill managed-deep-agents-patorn

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: managed-deep-agents
Source: https://github.com/patorn/langgraph-template/tree/main/.agents/skills/managed-deep-agents
Command: npx skills add https://github.com/patorn/langgraph-template --skill managed-deep-agents-patorn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manage and orchestrate Managed Deep Agents through LangSmith's REST API, simplifying the creation, execution, and monitoring of agent workflows.

Core Features & Use Cases

API-first control over Deep Agents (agents, threads, runs, and MCP servers) with streaming results.
End-to-end lifecycle: register MCP servers, create agents, start threads, stream runs, and handle human-in-the-loop interrupts.
Supports durable threads, per-tool interrupt config, and agent repository management in Context Hub.

Quick Start

Create and operate a Managed Deep Agent on LangSmith by registering MCP servers, deploying an agent, and streaming runs.

Frequently Asked Questions about managed-deep-agents

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I manage LangSmith deep agents via the REST API?▼

You can manage LangSmith deep agents via the REST API by orchestrating their creation, execution, and monitoring. This handles agent workflows end-to-end, covering agents, threads, runs, and MCP server registration with streaming results.

How do I handle human-in-the-loop interrupts for deep agents?▼

Handling human-in-the-loop interrupts for deep agents involves using per-tool interrupt configurations within durable threads. The orchestration layer manages these interrupts directly during production-like agent runs via LangSmith endpoints.

Can I stream runs and register MCP servers with LangSmith agents?▼

Yes, you can stream runs and register MCP servers with LangSmith agents. The orchestration process supports streaming results for runs and provides API-first control for registering MCP servers before deploying agent trees.

What do I need to configure before deploying agent trees in LangSmith?▼

Before deploying agent trees in LangSmith, you need static API keys and familiarity with MCP server flows. You also need tools for agent lifecycle management to properly register servers and start threads in production-like environments.

What is the best way to manage an agent repository in LangSmith Context Hub?▼

The best way to manage an agent repository in LangSmith Context Hub is through API-first control. This allows you to deploy agents, start durable threads, stream runs, and handle interrupts within a unified orchestration workflow.

Are there limitations when using static API keys for deep agent orchestration?▼

Using static API keys for deep agent orchestration requires secure key management and familiarity with MCP server flows. It is suited for production-like environments but requires dedicated tools for full agent lifecycle management.