{
  "id": "lib-process:ai-agents-conversational--react-agent-implementation",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "react-agent-implementation",
    "description": "ReAct Agent Implementation - Process for implementing a ReAct (Reasoning and Acting) agent that interleaves\nthought-action-observation loops for multi-step reasoning tasks with explicit reasoning traces, tool integration, and evaluation metrics.",
    "libraryPath": "library/specializations/ai-agents-conversational/react-agent-implementation.js",
    "specialization": "ai-agents-conversational",
    "references": [
      "- ReAct Paper: https://arxiv.org/abs/2210.03629\n- LangChain ReAct Agent: https://python.langchain.com/docs/modules/agents/agent_types/react\n- OpenAI Function Calling: https://platform.openai.com/docs/guides/function-calling\n- Anthropic Tool Use: https://docs.anthropic.com/claude/docs/tool-use"
    ],
    "example": "const result = await orchestrate('specializations/ai-agents-conversational/react-agent-implementation', {\n  agentName: 'research-assistant',\n  tools: ['web-search', 'calculator', 'code-executor'],\n  llmProvider: 'openai',\n  useCase: 'Research and information gathering',\n  maxIterations: 10\n});",
    "usesAgents": [
      "react-agent-architect",
      "agent-tester",
      "agent-evaluator"
    ],
    "usesSkills": [
      "langchain-tools",
      "chain-of-thought-prompts",
      "langchain-react-agent"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:ai-agents-conversational--react-agent-implementation",
      "to": "domain:software-engineering",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--react-agent-implementation",
      "to": "skill-area:react-state-management",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--react-agent-implementation",
      "to": "workflow:agent-evaluation-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--react-agent-implementation",
      "to": "specialization:ai-agents-conversational",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--react-agent-implementation",
      "to": "lib-agent:ai-agents-conversational--react-agent-architect",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--react-agent-implementation",
      "to": "lib-agent:ai-agents-conversational--agent-evaluator",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--react-agent-implementation",
      "to": "lib-skill:ai-agents-conversational--langchain-tools",
      "kind": "uses_skill",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--react-agent-implementation",
      "to": "lib-skill:ai-agents-conversational--chain-of-thought-prompts",
      "kind": "uses_skill",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--react-agent-implementation",
      "to": "lib-skill:ai-agents-conversational--langchain-react-agent",
      "kind": "uses_skill",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}