use of sonar for search
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Madhu
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# AI Consultant Agent with Google ADK
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A powerful business consultant powered by Google's Agent Development Kit that provides comprehensive market analysis, strategic planning, and actionable business recommendations.
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A powerful business consultant powered by Google's Agent Development Kit that provides comprehensive market analysis, strategic planning, and actionable business recommendations with real-time web research.
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## Features
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- **Market Analysis**: Leverages Google search and AI insights to analyze market conditions and opportunities
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- **Real-time Web Research**: Uses Perplexity AI search for current market data, trends, and competitor intelligence
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- **Market Analysis**: Leverages web search and AI insights to analyze market conditions and opportunities
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- **Strategic Recommendations**: Generates actionable business strategies with timelines and implementation plans
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- **Risk Assessment**: Identifies potential risks and provides mitigation strategies
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- **Interactive UI**: Clean Google ADK web interface for easy consultation
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@ -13,15 +14,17 @@ A powerful business consultant powered by Google's Agent Development Kit that pr
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## How It Works
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1. **Input Phase**: User provides business questions or consultation requests through the ADK web interface
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2. **Analysis Phase**: The agent uses market analysis tools to process the query and generate insights
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3. **Strategy Phase**: Strategic recommendations are generated based on the analysis
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4. **Synthesis Phase**: The agent combines findings into a comprehensive consultation report
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5. **Output Phase**: Actionable recommendations with timelines and implementation steps are presented
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2. **Research Phase**: The agent conducts real-time web research using Perplexity AI to gather current market data
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3. **Analysis Phase**: The agent uses market analysis tools to process the query and generate insights
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4. **Strategy Phase**: Strategic recommendations are generated based on the analysis and web research
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5. **Synthesis Phase**: The agent combines findings into a comprehensive consultation report with citations
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6. **Output Phase**: Actionable recommendations with timelines and implementation steps are presented
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## Requirements
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- Python 3.8+
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- Google API key (for Gemini model)
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- Perplexity API key (for real-time web search)
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- Required Python packages (see `requirements.txt`)
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## Installation
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@ -39,9 +42,10 @@ A powerful business consultant powered by Google's Agent Development Kit that pr
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## Usage
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1. Set your Google API key:
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1. Set your API keys:
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```bash
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export GOOGLE_API_KEY=your-api-key
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export GOOGLE_API_KEY=your-google-api-key
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export PERPLEXITY_API_KEY=your-perplexity-api-key
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```
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2. Start the Google ADK web interface:
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@ -55,7 +59,7 @@ A powerful business consultant powered by Google's Agent Development Kit that pr
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5. Enter your business questions or consultation requests
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6. Review the comprehensive analysis and strategic recommendations
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6. Review the comprehensive analysis and strategic recommendations with real-time web data and citations
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7. Use the Eval tab to save and evaluate consultation sessions
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@ -71,11 +75,13 @@ A powerful business consultant powered by Google's Agent Development Kit that pr
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The application uses specialized analysis tools:
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1. **Market Analysis Tool**: Processes business queries and generates market insights, competitive analysis, and opportunity identification.
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1. **Perplexity Search Tool**: Conducts real-time web research using Perplexity AI's "sonar" model to gather current market data, competitor information, and industry trends with citations.
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2. **Strategic Recommendations Tool**: Creates actionable business strategies with priority levels, timelines, and implementation roadmaps.
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2. **Market Analysis Tool**: Processes business queries and generates market insights, competitive analysis, and opportunity identification.
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The agent is built on Google ADK's LlmAgent framework using the Gemini 2.0 Flash model, providing fast and accurate business consultation capabilities.
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3. **Strategic Recommendations Tool**: Creates actionable business strategies with priority levels, timelines, and implementation roadmaps.
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The agent is built on Google ADK's LlmAgent framework using the Gemini 2.5 Flash model, providing fast and accurate business consultation capabilities backed by real-time web research.
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## Evaluation and Testing
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@ -2,10 +2,12 @@ import logging
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from typing import Dict, Any, List, Union
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from dataclasses import dataclass
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import base64
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import requests
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import os
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# Google ADK imports
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from google.adk.agents import LlmAgent
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from google.adk.tools import google_search_tool
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from google.adk.tools import google_search
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from google.adk.sessions import InMemorySessionService
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from google.adk.runners import Runner
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@ -188,11 +190,32 @@ def generate_strategic_recommendations(analysis_data: Dict[str, Any]) -> List[Di
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return recommendations
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def perplexity_search(query: str, system_prompt: str = "Be precise and concise. Focus on business insights and market data.") -> Dict[str, Any]:
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"""Search the web using Perplexity AI for real-time information and insights."""
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try:
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api_key = os.getenv("PERPLEXITY_API_KEY")
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if not api_key:
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return {"error": "Perplexity API key not found. Please set PERPLEXITY_API_KEY environment variable.", "query": query, "status": "error"}
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response = requests.post("https://api.perplexity.ai/chat/completions",
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json={"model": "sonar", "messages": [{"role": "system", "content": system_prompt}, {"role": "user", "content": query}]},
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headers={"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}, timeout=30)
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response.raise_for_status()
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result = response.json()
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if "choices" in result and result["choices"]:
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return {"query": query, "content": result["choices"][0]["message"]["content"], "citations": result.get("citations", []),
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"search_results": result.get("search_results", []), "status": "success", "source": "Perplexity AI",
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"model": result.get("model", "sonar"), "usage": result.get("usage", {}), "response_id": result.get("id", ""), "created": result.get("created", 0)}
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return {"error": "No response content found", "query": query, "status": "error", "raw_response": result}
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except Exception as e:
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return {"error": f"Error: {str(e)}", "query": query, "status": "error"}
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# Define the consultant tools with safety wrappers
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consultant_tools = [
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google_search_tool,
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safe_tool_wrapper(analyze_market_data),
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safe_tool_wrapper(generate_strategic_recommendations)
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safe_tool_wrapper(generate_strategic_recommendations),
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safe_tool_wrapper(perplexity_search)
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]
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INSTRUCTIONS = """You are a senior AI business consultant specializing in market analysis and strategic planning.
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@ -202,40 +225,41 @@ Your expertise includes:
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- Risk assessment and mitigation planning
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- Implementation planning with timelines
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- Market analysis using your knowledge and available tools
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- Real-time market research using Google search capabilities
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- Real-time web research using Perplexity AI search capabilities
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When consulting with clients:
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1. Use Google search to gather current market data, competitor information, and industry trends
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1. Use Perplexity search to gather current market data, competitor information, and industry trends from the web
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2. Use the market analysis tool to process business queries and generate insights
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3. Use the strategic recommendations tool to create actionable business advice
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4. Provide clear, specific recommendations with implementation timelines
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5. Focus on practical solutions that drive measurable business outcomes
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**Core Responsibilities:**
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- Conduct real-time market research using Google search for current data
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- Conduct real-time web research using Perplexity AI for current market data and trends
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- Analyze competitive landscapes and market opportunities using search results and your knowledge
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- Provide strategic guidance with clear action items based on up-to-date information
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- Assess risks and suggest mitigation strategies using current market conditions
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- Create implementation roadmaps with realistic timelines
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- Generate comprehensive business insights combining search data with analysis tools
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- Generate comprehensive business insights combining web research with analysis tools
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**Critical Rules:**
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- Always search for current market data, trends, and competitor information when relevant
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- Base recommendations on sound business principles, current market insights, and real-time data
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- Always search for current market data, trends, and competitor information when relevant using Perplexity search
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- Base recommendations on sound business principles, current market insights, and real-time web data
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- Provide specific, actionable advice rather than generic guidance
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- Include timelines and success metrics in recommendations
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- Prioritize recommendations by business impact and feasibility
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- Use Google search to validate assumptions and gather supporting evidence
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- Use Perplexity search to validate assumptions and gather supporting evidence with citations
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- Combine search results with your analysis tools for comprehensive consultation
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**Search Strategy:**
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- Search for competitor analysis, market size, industry trends, and regulatory changes
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- Use Perplexity search for competitor analysis, market size, industry trends, and regulatory changes
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- Look up recent news, funding rounds, and market developments in relevant sectors
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- Verify market assumptions with current data before making recommendations
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- Verify market assumptions with current web data before making recommendations
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- Research best practices and case studies from similar businesses
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- Always include citations and sources when referencing search results
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Always maintain a professional, analytical approach while being results-oriented.
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Use all available tools including Google search to provide comprehensive, well-researched consultation backed by current market data."""
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Use all available tools including Perplexity search to provide comprehensive, well-researched consultation backed by current web data and citations."""
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# Define the agent instance
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root_agent = LlmAgent(
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