Agent Blueprint Generator

flowchart LR
  AGENT["B2B Customer Support & Helpdesk Agent (Gemma 3 27B / Claude 3.5 Sonnet (hybrid router))"]
  COMP_1["Intent Router: Query classification and issue urgency detection"]
  AGENT --> COMP_1
  COMP_2["Knowledge RAG Engine: Contextual retrieval across documentation and ticket history"]
  AGENT --> COMP_2
  COMP_3["Response Validator: Safety guardrails and corporate policy compliance verification"]
  AGENT --> COMP_3
  COMP_4["Ticket Connector: Status synchronization and thread creation in helpdesk system"]
  AGENT --> COMP_4
  STEP_1["1. 1. Ingestion of inquiry and masking of sensitive personal data"]
  AGENT --> STEP_1
  STEP_2["2. 2. Precise contextual retrieval in vector knowledge database"]
  STEP_1 --> STEP_2
  STEP_3["3. 3. Solution proposal generation by language model"]
  STEP_2 --> STEP_3
  STEP_4["4. 4. Safety and policy compliance verification through guardrails"]
  STEP_3 --> STEP_4
  STEP_5["5. 5. Delivery of response or escalation to on-call engineer"]
  STEP_4 --> STEP_5
  TOOL_1["Tool: Qdrant Semantic Search"]
  COMP_1 -.-> TOOL_1
  TOOL_2["Tool: Metadata Extractor"]
  COMP_1 -.-> TOOL_2
  TOOL_3["Tool: GDPR Guardrails / PII Masker"]
  COMP_1 -.-> TOOL_3
  TOOL_4["Tool: Human Escalation Relay"]
  COMP_1 -.-> TOOL_4

{
  "schemaVersion": "openclaw/v1",
  "agent": {
    "name": "B2B Customer Support & Helpdesk Agent",
    "summary": "Autonomous first-line agent integrating RAG knowledge base with ticketing and communication channels.",
    "model": "Gemma 3 27B / Claude 3.5 Sonnet (hybrid router)",
    "complexity": "medium"
  },
  "components": [
    {
      "name": "Intent Router",
      "role": "Query classification and issue urgency detection"
    },
    {
      "name": "Knowledge RAG Engine",
      "role": "Contextual retrieval across documentation and ticket history"
    },
    {
      "name": "Response Validator",
      "role": "Safety guardrails and corporate policy compliance verification"
    },
    {
      "name": "Ticket Connector",
      "role": "Status synchronization and thread creation in helpdesk system"
    }
  ],
  "tools": [
    "Qdrant Semantic Search",
    "Metadata Extractor",
    "GDPR Guardrails / PII Masker",
    "Human Escalation Relay"
  ],
  "integrations": [
    "Jira / Linear / Zendesk",
    "Slack / Teams Webhook",
    "Confluence / Notion Knowledge Base",
    "Corporate Email"
  ],
  "workflow": [
    {
      "step": 1,
      "instruction": "1. Ingestion of inquiry and masking of sensitive personal data"
    },
    {
      "step": 2,
      "instruction": "2. Precise contextual retrieval in vector knowledge database"
    },
    {
      "step": 3,
      "instruction": "3. Solution proposal generation by language model"
    },
    {
      "step": 4,
      "instruction": "4. Safety and policy compliance verification through guardrails"
    },
    {
      "step": 5,
      "instruction": "5. Delivery of response or escalation to on-call engineer"
    }
  ]
}