iiRecord
Agentic AI Atlas · plan-and-execute-agent
lib-process:ai-agents-conversational--plan-and-execute-agenta5c.ai
II.
LibraryProcess JSON

lib-process:ai-agents-conversational--plan-and-execute-agent

Structured · live

plan-and-execute-agent json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · generated-library/processes.yamlCluster · generated-library
Record JSON
{
  "id": "lib-process:ai-agents-conversational--plan-and-execute-agent",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "plan-and-execute-agent",
    "description": "Plan-and-Execute Agent Development - Process for building hierarchical agents that separate high-level planning\nfrom low-level execution with replanning capabilities based on intermediate results.",
    "libraryPath": "library/specializations/ai-agents-conversational/plan-and-execute-agent.js",
    "specialization": "ai-agents-conversational",
    "references": [
      "- Plan-and-Execute Pattern: https://blog.langchain.dev/planning-agents/\n- LangGraph Plan-and-Execute: https://langchain-ai.github.io/langgraph/tutorials/plan-and-execute/plan-and-execute/\n- Hierarchical Task Networks: https://en.wikipedia.org/wiki/Hierarchical_task_network"
    ],
    "example": "const result = await orchestrate('specializations/ai-agents-conversational/plan-and-execute-agent', {\n  agentName: 'project-assistant',\n  plannerModel: 'gpt-4',\n  executorModel: 'gpt-3.5-turbo',\n  tools: ['file-reader', 'code-executor', 'web-search']\n});",
    "usesAgents": [
      "plan-execute-planner",
      "executor-developer",
      "state-machine-designer",
      "monitoring-specialist",
      "integration-tester"
    ],
    "usesSkills": [
      "langgraph-routing"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:ai-agents-conversational--plan-and-execute-agent",
      "to": "domain:software-engineering",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--plan-and-execute-agent",
      "to": "workflow:architecture-decision-record",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--plan-and-execute-agent",
      "to": "specialization:ai-agents-conversational",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--plan-and-execute-agent",
      "to": "lib-agent:ai-agents-conversational--plan-execute-planner",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--plan-and-execute-agent",
      "to": "lib-agent:ai-agents-conversational--state-machine-designer",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--plan-and-execute-agent",
      "to": "lib-agent:data-science-ml--integration-tester",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--plan-and-execute-agent",
      "to": "lib-skill:ai-agents-conversational--langgraph-routing",
      "kind": "uses_skill",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}