对话流程智能体

POST /_plugins/_ml/agents/_register
{
  "name": "population data analysis agent",
  "type": "conversational_flow",
  "description": "This is a demo agent for population data analysis",
  "app_type": "rag",
  "memory": {
    "type": "conversation_index"
  },
  "tools": [
    {
      "type": "VectorDBTool",
      "name": "population_knowledge_base",
      "parameters": {
        "model_id": "YOUR_TEXT_EMBEDDING_MODEL_ID",
        "index": "test_population_data",
        "embedding_field": "population_description_embedding",
        "source_field": [
          "population_description"
        ],
        "input": "${parameters.question}"
      }
    },
    {
      "type": "MLModelTool",
      "name": "bedrock_claude_model",
      "description": "A general tool to answer any question",
      "parameters": {
        "model_id": "YOUR_LLM_MODEL_ID",
        "prompt": """

Human:You are a professional data analyst. You will always answer question based on the given context first. If the answer is not directly shown in the context, you will analyze the data and find the answer. If you don't know the answer, just say don't know. 

Context:
${parameters.population_knowledge_base.output:-}

${parameters.chat_history:-}

Human:${parameters.question}

Assistant:"""
      }
    }
  ]
}