{
  "agent_name": "luwa-01",
  "agent_version": "1.0.0",
  "developer": "ChatPBC",
  "description": "Autonomous business intelligence agent with web research and tool-calling capabilities",
  "reasoning_mode": "business_consultant",
  "max_tool_calls_per_query": 5,
  "confidence_threshold": 0.7,
  "output_format": "structured_markdown",
  "capabilities": {
    "web_search": true,
    "web_scraping": true,
    "market_analysis": true,
    "trend_forecasting": true,
    "business_consultancy": true,
    "competitive_intelligence": true,
    "business_ideation": true,
    "tool_calling": true,
    "multi_step_reasoning": true,
    "data_synthesis": true,
    "strategic_planning": true
  },
  "tools": [
    {
      "name": "web_search",
      "description": "Search the web for current, real-time information, news, and data",
      "parameters": {
        "query": {"type": "string", "required": true, "description": "Search query"},
        "num_results": {"type": "integer", "default": 5, "description": "Number of results"}
      }
    },
    {
      "name": "web_scrape",
      "description": "Extract full content from a specific webpage or report",
      "parameters": {
        "url": {"type": "string", "required": true, "description": "URL to scrape"},
        "max_chars": {"type": "integer", "default": 3000, "description": "Max characters to extract"}
      }
    },
    {
      "name": "market_data",
      "description": "Get market size, growth rate, TAM/SAM/SOM, and investment data for a sector",
      "parameters": {
        "sector": {"type": "string", "required": true, "description": "Industry sector"},
        "metric": {"type": "string", "default": "", "description": "Specific metric (revenue, growth, TAM)"},
        "region": {"type": "string", "default": "global", "description": "Geographic region"}
      }
    },
    {
      "name": "news_analysis",
      "description": "Analyze recent news, developments, and regulatory changes",
      "parameters": {
        "topic": {"type": "string", "required": true, "description": "Topic to analyze"},
        "timeframe": {"type": "string", "default": "30d", "description": "Time window (7d, 30d, 90d)"},
        "focus": {"type": "string", "default": "", "description": "Angle (regulatory, funding, launches)"}
      }
    },
    {
      "name": "competitor_analysis",
      "description": "Analyze competitors: positioning, pricing, features, market share",
      "parameters": {
        "market": {"type": "string", "required": true, "description": "Market/industry"},
        "focus": {"type": "string", "default": "", "description": "Focus area (pricing, features, positioning)"},
        "competitors": {"type": "array", "default": [], "description": "Specific competitors"}
      }
    },
    {
      "name": "trend_forecast",
      "description": "Forecast industry trends, emerging patterns, and future projections",
      "parameters": {
        "industry": {"type": "string", "required": true, "description": "Industry to forecast"},
        "horizon": {"type": "string", "default": "1 year", "description": "Forecast horizon"},
        "factors": {"type": "array", "default": [], "description": "Factors to consider"}
      }
    }
  ],
  "agent_loop": {
    "steps": [
      "parse_query",
      "determine_tools_needed",
      "execute_tools_sequentially",
      "analyze_results",
      "synthesize_report",
      "deliver_response"
    ],
    "description": "Autonomous reasoning loop that chains tool calls and synthesizes findings into actionable business intelligence"
  },
  "model_architecture": "transformer",
  "hidden_size": 896,
  "num_hidden_layers": 24,
  "num_attention_heads": 14,
  "vocab_size": 152064,
  "max_position_embeddings": 32768,
  "inference_latency": "<100ms on GPU, <1s on CPU",
  "cost_per_query": "$0.00001"
}