Release v2.4.2

README.md

@@ -2733,7 +2733,7 @@ from praisonaiagents import Agent, db
 
 agent = Agent(
     name="Assistant",
-    db=db.PraisonDB(database_url="postgresql://localhost/mydb"),
+    db=db(database_url="postgresql://localhost/mydb"),  # db(...) shortcut
     session_id="my-session"  # Optional: defaults to per-hour ID (YYYYMMDDHH)
 )
 agent.chat("Hello!")  # Auto-persists messages, runs, traces
@@ -2782,26 +2782,42 @@ agent.chat("Hello!")  # Auto-persists messages, runs, traces
 
 ## 🔧 Tools Table
 
-| Tool | Category | Example | Docs |
-|------|----------|---------|------|
-| Tavily Search | Web Search | `from praisonai_tools import TavilySearchTool` | [docs](https://docs.praison.ai/docs/tools/tavily) |
-| DuckDuckGo | Web Search | `from praisonai_tools import DuckDuckGoSearchTool` | [docs](https://docs.praison.ai/docs/tools/duckduckgo) |
-| Exa Search | Web Search | `from praisonai_tools import ExaSearchTool` | [docs](https://docs.praison.ai/docs/tools/exa) |
-| Firecrawl | Web Scraping | `from praisonai_tools import FirecrawlTool` | [docs](https://docs.praison.ai/docs/tools/firecrawl) |
-| Crawl4AI | Web Scraping | `from praisonai_tools import Crawl4AITool` | [docs](https://docs.praison.ai/docs/tools/crawl4ai) |
-| Wikipedia | Knowledge | `from praisonai_tools import WikipediaTool` | [docs](https://docs.praison.ai/docs/tools/wikipedia) |
-| ArXiv | Research | `from praisonai_tools import ArxivTool` | [docs](https://docs.praison.ai/docs/tools/arxiv) |
-| YouTube | Media | `from praisonai_tools import YouTubeTool` | [docs](https://docs.praison.ai/docs/tools/youtube) |
-| File Tools | File System | `from praisonai_tools import FileReadTool` | [docs](https://docs.praison.ai/docs/tools/file) |
-| Code Tools | Development | `from praisonai_tools import CodeInterpreterTool` | [docs](https://docs.praison.ai/docs/tools/code) |
-| Shell Tools | System | `from praisonai_tools import ShellTool` | [docs](https://docs.praison.ai/docs/tools/shell) |
-| JSON Tools | Data | `from praisonai_tools import JSONTool` | [docs](https://docs.praison.ai/docs/tools/json) |
-| XML Tools | Data | `from praisonai_tools import XMLTool` | [docs](https://docs.praison.ai/docs/tools/xml) |
-| CSV Tools | Data | `from praisonai_tools import CSVTool` | [docs](https://docs.praison.ai/docs/tools/csv) |
-| PDF Tools | Documents | `from praisonai_tools import PDFTool` | [docs](https://docs.praison.ai/docs/tools/pdf) |
-| Calculator | Math | `from praisonai_tools import CalculatorTool` | [docs](https://docs.praison.ai/docs/tools/calculator) |
+Install all tools with: `pip install "praisonai[tools]"`
 
-> See [full tools documentation](https://docs.praison.ai/docs/tools/tools) for all available tools.
+| Tool | Category | Import | Docs |
+|------|----------|--------|------|
+| Tavily | Web Search | `from praisonai_tools import TavilyTool` | [docs](https://docs.praison.ai/docs/tools/external/tavily) |
+| DuckDuckGo | Web Search | `from praisonai_tools import DuckDuckGoTool` | [docs](https://docs.praison.ai/docs/tools/external/duckduckgo) |
+| Exa | Web Search | `from praisonai_tools import ExaTool` | [docs](https://docs.praison.ai/docs/tools/external/exa) |
+| Serper | Web Search | `from praisonai_tools import SerperTool` | [docs](https://docs.praison.ai/docs/tools/external/serper) |
+| Jina | Web Reader | `from praisonai_tools import JinaTool` | [docs](https://docs.praison.ai/docs/tools/external/jina) |
+| Firecrawl | Web Scraping | `from praisonai_tools import FirecrawlTool` | [docs](https://docs.praison.ai/docs/tools/external/firecrawl) |
+| Crawl4AI | Web Scraping | `from praisonai_tools import Crawl4AITool` | [docs](https://docs.praison.ai/docs/tools/external/crawl4ai) |
+| Wikipedia | Knowledge | `from praisonai_tools import WikipediaTool` | [docs](https://docs.praison.ai/docs/tools/external/wikipedia) |
+| ArXiv | Research | `from praisonai_tools import ArxivTool` | [docs](https://docs.praison.ai/docs/tools/external/arxiv) |
+| HackerNews | News | `from praisonai_tools import HackerNewsTool` | [docs](https://docs.praison.ai/docs/tools/external/hackernews) |
+| YouTube | Media | `from praisonai_tools import YouTubeTool` | [docs](https://docs.praison.ai/docs/tools/external/youtube) |
+| Weather | Data | `from praisonai_tools import WeatherTool` | [docs](https://docs.praison.ai/docs/tools/external/weather) |
+| PostgreSQL | Database | `from praisonai_tools import PostgresTool` | [docs](https://docs.praison.ai/docs/tools/external/postgres) |
+| MySQL | Database | `from praisonai_tools import MySQLTool` | [docs](https://docs.praison.ai/docs/tools/external/mysql) |
+| SQLite | Database | `from praisonai_tools import SQLiteTool` | [docs](https://docs.praison.ai/docs/tools/external/sqlite) |
+| MongoDB | Database | `from praisonai_tools import MongoDBTool` | [docs](https://docs.praison.ai/docs/tools/external/mongodb) |
+| Redis | Database | `from praisonai_tools import RedisTool` | [docs](https://docs.praison.ai/docs/tools/external/redis) |
+| Qdrant | Vector DB | `from praisonai_tools import QdrantTool` | [docs](https://docs.praison.ai/docs/tools/external/qdrant) |
+| GitHub | DevOps | `from praisonai_tools import GitHubTool` | [docs](https://docs.praison.ai/docs/tools/external/github) |
+| Slack | Communication | `from praisonai_tools import SlackTool` | [docs](https://docs.praison.ai/docs/tools/external/slack) |
+| Discord | Communication | `from praisonai_tools import DiscordTool` | [docs](https://docs.praison.ai/docs/tools/external/discord) |
+| Telegram | Communication | `from praisonai_tools import TelegramTool` | [docs](https://docs.praison.ai/docs/tools/external/telegram) |
+| Email | Communication | `from praisonai_tools import EmailTool` | [docs](https://docs.praison.ai/docs/tools/external/email) |
+| Notion | Productivity | `from praisonai_tools import NotionTool` | [docs](https://docs.praison.ai/docs/tools/external/notion) |
+| File | File System | `from praisonai_tools import FileTool` | [docs](https://docs.praison.ai/docs/tools/external/file) |
+| Shell | System | `from praisonai_tools import ShellTool` | [docs](https://docs.praison.ai/docs/tools/external/shell) |
+| Python | Code | `from praisonai_tools import PythonTool` | [docs](https://docs.praison.ai/docs/tools/external/python) |
+| JSON | Data | `from praisonai_tools import JSONTool` | [docs](https://docs.praison.ai/docs/tools/external/json) |
+| CSV | Data | `from praisonai_tools import CSVTool` | [docs](https://docs.praison.ai/docs/tools/external/csv) |
+| Calculator | Math | `from praisonai_tools import CalculatorTool` | [docs](https://docs.praison.ai/docs/tools/external/calculator) |
+
+> See [full tools documentation](https://docs.praison.ai/docs/tools/tools) for all 100+ available tools.
 
 ---
 

docker/Dockerfile.chat

@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
 # Install Python packages (using latest versions)
 RUN pip install --no-cache-dir \
     praisonai_tools \
-    "praisonai>=2.4.1" \
+    "praisonai>=2.4.2" \
     "praisonai[chat]" \
     "embedchain[github,youtube]"
 

docker/Dockerfile.dev

@@ -20,7 +20,7 @@ RUN mkdir -p /root/.praison
 # Install Python packages (using latest versions)
 RUN pip install --no-cache-dir \
     praisonai_tools \
-    "praisonai>=2.4.1" \
+    "praisonai>=2.4.2" \
     "praisonai[ui]" \
     "praisonai[chat]" \
     "praisonai[realtime]" \

docker/Dockerfile.ui

@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
 # Install Python packages (using latest versions)
 RUN pip install --no-cache-dir \
     praisonai_tools \
-    "praisonai>=2.4.1" \
+    "praisonai>=2.4.2" \
     "praisonai[ui]" \
     "praisonai[crewai]"
 

examples/persistence/minimal_agent_db.py

@@ -16,7 +16,7 @@ Expected output:
 from praisonaiagents import Agent, db
 
 # Create database connection (PostgreSQL + Redis)
-my_db = db.PraisonDB(
+my_db = db(
     database_url="postgresql://postgres:praison123@localhost:5432/praisonai",
     state_url="redis://localhost:6379"  # Optional: for state/tracing
 )

examples/persistence/postgres_runs_traces.py

@@ -19,7 +19,7 @@ def get_weather(city: str) -> str:
     return f"Weather in {city}: Sunny, 72°F"
 
 # Create database with PostgreSQL + Redis
-my_db = db.PraisonDB(
+my_db = db(
     database_url="postgresql://postgres:praison123@localhost:5432/praisonai",
     state_url="redis://localhost:6379"
 )

examples/persistence/session_resume.py

@@ -14,7 +14,7 @@ Expected output:
 from praisonaiagents import Agent, db
 
 # Create database
-my_db = db.PraisonDB(
+my_db = db(
     database_url="postgresql://postgres:praison123@localhost:5432/praisonai",
     state_url="redis://localhost:6379"
 )

examples/tools/external/arxiv/tool.py

@@ -0,0 +1,44 @@
+"""ArXiv Tool Example.
+
+This example demonstrates how to use the ArXiv tool with PraisonAI agents.
+
+Requirements:
+    pip install "praisonai[tools]"
+
+Usage:
+    python tool.py
+
+Note: No API key required!
+"""
+
+from praisonai_tools import ArxivTool
+
+
+def main():
+    # Initialize ArXiv tool (no API key needed)
+    arxiv = ArxivTool()
+    
+    # Example 1: Search ArXiv
+    print("=" * 60)
+    print("Example 1: Search ArXiv")
+    print("=" * 60)
+    
+    results = arxiv.search("transformer neural networks", max_results=3)
+    
+    if results and "error" in results[0]:
+        print(f"Error: {results[0]['error']}")
+    else:
+        print(f"Found {len(results)} papers:")
+        for paper in results:
+            print(f"\n  Title: {paper.get('title', 'N/A')[:60]}...")
+            authors = paper.get('authors', [])
+            if authors:
+                print(f"  Authors: {', '.join(authors[:2])}...")
+            print(f"  Published: {paper.get('published', 'N/A')}")
+            print(f"  PDF: {paper.get('pdf_url', 'N/A')}")
+    
+    print("\n✅ ArXiv tool working correctly!")
+
+
+if __name__ == "__main__":
+    main()

examples/tools/external/calculator/tool.py

@@ -0,0 +1,53 @@
+"""Calculator Tool Example.
+
+This example demonstrates how to use the Calculator tool with PraisonAI agents.
+
+Requirements:
+    pip install "praisonai[tools]"
+
+Usage:
+    python tool.py
+
+Note: No API key required!
+"""
+
+from praisonai_tools import CalculatorTool
+
+
+def main():
+    # Initialize Calculator tool
+    calc = CalculatorTool()
+    
+    # Example 1: Basic arithmetic
+    print("=" * 60)
+    print("Example 1: Basic Arithmetic")
+    print("=" * 60)
+    
+    expressions = [
+        "2 + 2",
+        "10 * 5",
+        "100 / 4",
+        "2 ** 10",
+        "(10 + 5) * 2 - 3"
+    ]
+    
+    for expr in expressions:
+        result = calc.evaluate(expr)
+        print(f"  {expr} = {result.get('result', result)}")
+    
+    # Example 2: Percentage calculation
+    print("\n" + "=" * 60)
+    print("Example 2: Percentage Calculation")
+    print("=" * 60)
+    
+    result = calc.evaluate("250 * 0.15")
+    print(f"  15% of 250 = {result.get('result', result)}")
+    
+    result = calc.evaluate("1000 * (1 + 0.05) ** 3")
+    print(f"  $1000 at 5% for 3 years = ${result.get('result', 0):.2f}")
+    
+    print("\n✅ Calculator tool working correctly!")
+
+
+if __name__ == "__main__":
+    main()

examples/tools/external/duckduckgo/tool.py

@@ -0,0 +1,75 @@
+"""DuckDuckGo Search Tool Example.
+
+This example demonstrates how to use the DuckDuckGo search tool with PraisonAI agents.
+
+Requirements:
+    pip install "praisonai[tools]"
+
+Usage:
+    python tool.py
+
+Note: No API key required!
+"""
+
+from praisonai_tools import DuckDuckGoTool
+
+
+def main():
+    # Initialize DuckDuckGo tool (no API key needed)
+    ddg = DuckDuckGoTool()
+    
+    # Example 1: Web search
+    print("=" * 60)
+    print("Example 1: Web Search")
+    print("=" * 60)
+    
+    results = ddg.search("Python programming best practices", max_results=3)
+    
+    if results and "error" in results[0]:
+        print(f"Error: {results[0]['error']}")
+    else:
+        print(f"Found {len(results)} results:")
+        for r in results:
+            print(f"  - {r['title']}")
+            print(f"    URL: {r['url']}")
+            print(f"    Snippet: {r['snippet'][:100]}...")
+            print()
+    
+    # Example 2: News search
+    print("=" * 60)
+    print("Example 2: News Search")
+    print("=" * 60)
+    
+    news = ddg.news("artificial intelligence", max_results=3)
+    
+    if news and "error" in news[0]:
+        print(f"Error: {news[0]['error']}")
+    else:
+        print(f"Found {len(news)} news articles:")
+        for n in news:
+            print(f"  - {n['title']}")
+            print(f"    Source: {n.get('source', 'N/A')}")
+            print(f"    Date: {n.get('date', 'N/A')}")
+            print()
+    
+    # Example 3: Image search
+    print("=" * 60)
+    print("Example 3: Image Search")
+    print("=" * 60)
+    
+    images = ddg.images("sunset landscape", max_results=3)
+    
+    if images and "error" in images[0]:
+        print(f"Error: {images[0]['error']}")
+    else:
+        print(f"Found {len(images)} images:")
+        for img in images:
+            print(f"  - {img['title']}")
+            print(f"    Image URL: {img['image_url'][:60]}...")
+            print()
+    
+    print("✅ DuckDuckGo tool working correctly!")
+
+
+if __name__ == "__main__":
+    main()

examples/tools/external/exa/tool.py

@@ -0,0 +1,48 @@
+"""Exa Search Tool Example.
+
+This example demonstrates how to use the Exa search tool with PraisonAI agents.
+
+Requirements:
+    pip install "praisonai[tools]"
+    export EXA_API_KEY=your_api_key
+
+Usage:
+    python tool.py
+"""
+
+import os
+from praisonai_tools import ExaTool
+
+
+def main():
+    # Check for API key
+    if not os.getenv("EXA_API_KEY"):
+        print("Error: EXA_API_KEY environment variable not set")
+        print("Get your API key from https://exa.ai/")
+        return
+    
+    # Initialize Exa tool
+    exa = ExaTool()
+    
+    # Example 1: Neural search
+    print("=" * 60)
+    print("Example 1: Neural Search")
+    print("=" * 60)
+    
+    results = exa.search("best practices for Python development", num_results=3)
+    
+    if results and "error" in results[0]:
+        print(f"Error: {results[0]['error']}")
+    else:
+        print(f"Found {len(results)} results:")
+        for r in results:
+            print(f"  - {r.get('title', 'N/A')[:50]}...")
+            print(f"    URL: {r.get('url', 'N/A')[:60]}...")
+            print(f"    Score: {r.get('score', 'N/A')}")
+            print()
+    
+    print("✅ Exa tool working correctly!")
+
+
+if __name__ == "__main__":
+    main()

examples/tools/external/firecrawl/tool.py

@@ -0,0 +1,45 @@
+"""Firecrawl Tool Example.
+
+This example demonstrates how to use the Firecrawl tool with PraisonAI agents.
+
+Requirements:
+    pip install "praisonai[tools]"
+    export FIRECRAWL_API_KEY=your_api_key
+
+Usage:
+    python tool.py
+"""
+
+import os
+from praisonai_tools import FirecrawlTool
+
+
+def main():
+    # Check for API key
+    if not os.getenv("FIRECRAWL_API_KEY"):
+        print("Error: FIRECRAWL_API_KEY environment variable not set")
+        print("Get your API key from https://firecrawl.dev/")
+        return
+    
+    # Initialize Firecrawl tool
+    firecrawl = FirecrawlTool()
+    
+    # Example 1: Scrape a page
+    print("=" * 60)
+    print("Example 1: Scrape a Page")
+    print("=" * 60)
+    
+    result = firecrawl.scrape("https://example.com")
+    
+    if "error" in result:
+        print(f"Error: {result['error']}")
+    else:
+        print(f"URL: {result.get('url', 'N/A')}")
+        markdown = result.get('markdown', '')
+        print(f"Content preview: {markdown[:300]}...")
+    
+    print("\n✅ Firecrawl tool working correctly!")
+
+
+if __name__ == "__main__":
+    main()

examples/tools/external/hackernews/tool.py

@@ -0,0 +1,42 @@
+"""Hacker News Tool Example.
+
+This example demonstrates how to use the Hacker News tool with PraisonAI agents.
+
+Requirements:
+    pip install "praisonai[tools]"
+
+Usage:
+    python tool.py
+
+Note: No API key required!
+"""
+
+from praisonai_tools import HackerNewsTool
+
+
+def main():
+    # Initialize Hacker News tool
+    hn = HackerNewsTool()
+    
+    # Example 1: Get top stories
+    print("=" * 60)
+    print("Example 1: Top Stories")
+    print("=" * 60)
+    
+    stories = hn.get_top_stories(limit=5)
+    
+    if stories and "error" in stories[0]:
+        print(f"Error: {stories[0]['error']}")
+    else:
+        print(f"Found {len(stories)} top stories:")
+        for story in stories:
+            print(f"  - {story.get('title', 'N/A')[:50]}...")
+            print(f"    Score: {story.get('score', 'N/A')} | Comments: {story.get('descendants', 'N/A')}")
+            print(f"    URL: {story.get('url', 'N/A')[:60]}...")
+            print()
+    
+    print("✅ Hacker News tool working correctly!")
+
+
+if __name__ == "__main__":
+    main()

examples/tools/external/jina/tool.py

@@ -0,0 +1,40 @@
+"""Jina Reader Tool Example.
+
+This example demonstrates how to use the Jina Reader tool with PraisonAI agents.
+
+Requirements:
+    pip install "praisonai[tools]"
+
+Usage:
+    python tool.py
+
+Note: Works without API key (with rate limits)
+"""
+
+from praisonai_tools import JinaTool
+
+
+def main():
+    # Initialize Jina tool (works without API key)
+    jina = JinaTool()
+    
+    # Example 1: Read a URL
+    print("=" * 60)
+    print("Example 1: Read URL Content")
+    print("=" * 60)
+    
+    result = jina.read("https://example.com")
+    
+    if "error" in result:
+        print(f"Error: {result['error']}")
+    else:
+        print(f"URL: {result.get('url', 'N/A')}")
+        print(f"Title: {result.get('title', 'N/A')}")
+        content = result.get('content', '')
+        print(f"Content preview: {content[:300]}...")
+    
+    print("\n✅ Jina tool working correctly!")
+
+
+if __name__ == "__main__":
+    main()

examples/tools/external/postgres/tool.py

@@ -0,0 +1,56 @@
+"""PostgreSQL Tool Example.
+
+This example demonstrates how to use the PostgreSQL tool with PraisonAI agents.
+
+Requirements:
+    pip install "praisonai[tools]"
+    Docker: docker run -d --name postgres -e POSTGRES_PASSWORD=praison123 -e POSTGRES_DB=praisonai -p 5432:5432 postgres:16
+
+Usage:
+    python tool.py
+"""
+
+from praisonai_tools import PostgresTool
+
+
+def main():
+    # Initialize PostgreSQL tool
+    pg = PostgresTool(
+        host="localhost",
+        port=5432,
+        database="praisonai",
+        user="postgres",
+        password="praison123"
+    )
+    
+    # Example 1: List tables
+    print("=" * 60)
+    print("Example 1: List Tables")
+    print("=" * 60)
+    
+    tables = pg.list_tables()
+    
+    if isinstance(tables, dict) and "error" in tables:
+        print(f"Error: {tables['error']}")
+    else:
+        print(f"Found {len(tables)} tables:")
+        for t in tables[:10]:
+            print(f"  - {t.get('table_name', t)}")
+    
+    # Example 2: Query
+    print("\n" + "=" * 60)
+    print("Example 2: Execute Query")
+    print("=" * 60)
+    
+    result = pg.query("SELECT version()")
+    
+    if isinstance(result, dict) and "error" in result:
+        print(f"Error: {result['error']}")
+    else:
+        print(f"PostgreSQL version: {result}")
+    
+    print("\n✅ PostgreSQL tool working correctly!")
+
+
+if __name__ == "__main__":
+    main()

examples/tools/external/serper/tool.py

@@ -0,0 +1,47 @@
+"""Serper Tool Example.
+
+This example demonstrates how to use the Serper (Google Search) tool with PraisonAI agents.
+
+Requirements:
+    pip install "praisonai[tools]"
+    export SERPER_API_KEY=your_api_key
+
+Usage:
+    python tool.py
+"""
+
+import os
+from praisonai_tools import SerperTool
+
+
+def main():
+    # Check for API key
+    if not os.getenv("SERPER_API_KEY"):
+        print("Error: SERPER_API_KEY environment variable not set")
+        print("Get your API key from https://serper.dev/")
+        return
+    
+    # Initialize Serper tool
+    serper = SerperTool()
+    
+    # Example 1: Web search
+    print("=" * 60)
+    print("Example 1: Google Web Search")
+    print("=" * 60)
+    
+    results = serper.search("Python programming tutorials", max_results=3)
+    
+    if results and "error" in results[0]:
+        print(f"Error: {results[0]['error']}")
+    else:
+        print(f"Found {len(results)} results:")
+        for r in results:
+            print(f"  - {r.get('title', 'N/A')[:50]}...")
+            print(f"    URL: {r.get('link', 'N/A')[:60]}...")
+            print()
+    
+    print("✅ Serper tool working correctly!")
+
+
+if __name__ == "__main__":
+    main()

examples/tools/external/tavily/tool.py

@@ -0,0 +1,57 @@
+"""Tavily Search Tool Example.
+
+This example demonstrates how to use the Tavily search tool with PraisonAI agents.
+
+Requirements:
+    pip install "praisonai[tools]"
+    export TAVILY_API_KEY=your_api_key
+
+Usage:
+    python tool.py
+"""
+
+import os
+from praisonai_tools import TavilyTool
+
+def main():
+    # Check for API key
+    if not os.getenv("TAVILY_API_KEY"):
+        print("Error: TAVILY_API_KEY environment variable not set")
+        print("Get your API key from https://tavily.com/")
+        return
+    
+    # Initialize Tavily tool
+    tavily = TavilyTool()
+    
+    # Example 1: Basic search
+    print("=" * 60)
+    print("Example 1: Basic Search")
+    print("=" * 60)
+    
+    results = tavily.search("What is quantum computing?", max_results=3)
+    
+    if "error" in results:
+        print(f"Error: {results['error']}")
+    else:
+        print(f"Query: {results.get('query')}")
+        if "answer" in results:
+            print(f"\nAI Answer: {results['answer'][:200]}...")
+        print(f"\nResults ({len(results.get('results', []))}):")
+        for r in results.get("results", []):
+            print(f"  - {r['title']}")
+            print(f"    URL: {r['url']}")
+            print(f"    Score: {r.get('score', 'N/A')}")
+    
+    # Example 2: Search context for RAG
+    print("\n" + "=" * 60)
+    print("Example 2: Search Context (for RAG)")
+    print("=" * 60)
+    
+    context = tavily.search_context("Python best practices 2024")
+    print(f"Context (first 300 chars): {context[:300]}...")
+    
+    print("\n✅ Tavily tool working correctly!")
+
+
+if __name__ == "__main__":
+    main()

examples/tools/external/wikipedia/tool.py

@@ -0,0 +1,69 @@
+"""Wikipedia Tool Example.
+
+This example demonstrates how to use the Wikipedia tool with PraisonAI agents.
+
+Requirements:
+    pip install "praisonai[tools]"
+
+Usage:
+    python tool.py
+
+Note: No API key required!
+"""
+
+from praisonai_tools import WikipediaTool
+
+
+def main():
+    # Initialize Wikipedia tool (no API key needed)
+    wiki = WikipediaTool()
+    
+    # Example 1: Search Wikipedia
+    print("=" * 60)
+    print("Example 1: Search Wikipedia")
+    print("=" * 60)
+    
+    results = wiki.search("Python programming", max_results=5)
+    
+    if results and "error" in results[0]:
+        print(f"Error: {results[0]['error']}")
+    else:
+        print(f"Found {len(results)} results:")
+        for r in results:
+            print(f"  - {r['title']}")
+    
+    # Example 2: Get page summary
+    print("\n" + "=" * 60)
+    print("Example 2: Get Page Summary")
+    print("=" * 60)
+    
+    summary = wiki.summary("Artificial intelligence", sentences=3)
+    
+    if "error" in summary:
+        print(f"Error: {summary['error']}")
+    else:
+        print(f"Title: {summary['title']}")
+        print(f"Summary: {summary['summary'][:300]}...")
+    
+    # Example 3: Get full page
+    print("\n" + "=" * 60)
+    print("Example 3: Get Full Page")
+    print("=" * 60)
+    
+    page = wiki.get_page("Machine learning")
+    
+    if "error" in page:
+        print(f"Error: {page['error']}")
+        if "options" in page:
+            print(f"Options: {page['options'][:5]}")
+    else:
+        print(f"Title: {page['title']}")
+        print(f"URL: {page['url']}")
+        print(f"Categories: {page['categories'][:3]}")
+        print(f"Content preview: {page['content'][:200]}...")
+    
+    print("\n✅ Wikipedia tool working correctly!")
+
+
+if __name__ == "__main__":
+    main()

src/praisonai/README.md

@@ -2733,7 +2733,7 @@ from praisonaiagents import Agent, db
 
 agent = Agent(
     name="Assistant",
-    db=db.PraisonDB(database_url="postgresql://localhost/mydb"),
+    db=db(database_url="postgresql://localhost/mydb"),  # db(...) shortcut
     session_id="my-session"  # Optional: defaults to per-hour ID (YYYYMMDDHH)
 )
 agent.chat("Hello!")  # Auto-persists messages, runs, traces
@@ -2782,26 +2782,42 @@ agent.chat("Hello!")  # Auto-persists messages, runs, traces
 
 ## 🔧 Tools Table
 
-| Tool | Category | Example | Docs |
-|------|----------|---------|------|
-| Tavily Search | Web Search | `from praisonai_tools import TavilySearchTool` | [docs](https://docs.praison.ai/docs/tools/tavily) |
-| DuckDuckGo | Web Search | `from praisonai_tools import DuckDuckGoSearchTool` | [docs](https://docs.praison.ai/docs/tools/duckduckgo) |
-| Exa Search | Web Search | `from praisonai_tools import ExaSearchTool` | [docs](https://docs.praison.ai/docs/tools/exa) |
-| Firecrawl | Web Scraping | `from praisonai_tools import FirecrawlTool` | [docs](https://docs.praison.ai/docs/tools/firecrawl) |
-| Crawl4AI | Web Scraping | `from praisonai_tools import Crawl4AITool` | [docs](https://docs.praison.ai/docs/tools/crawl4ai) |
-| Wikipedia | Knowledge | `from praisonai_tools import WikipediaTool` | [docs](https://docs.praison.ai/docs/tools/wikipedia) |
-| ArXiv | Research | `from praisonai_tools import ArxivTool` | [docs](https://docs.praison.ai/docs/tools/arxiv) |
-| YouTube | Media | `from praisonai_tools import YouTubeTool` | [docs](https://docs.praison.ai/docs/tools/youtube) |
-| File Tools | File System | `from praisonai_tools import FileReadTool` | [docs](https://docs.praison.ai/docs/tools/file) |
-| Code Tools | Development | `from praisonai_tools import CodeInterpreterTool` | [docs](https://docs.praison.ai/docs/tools/code) |
-| Shell Tools | System | `from praisonai_tools import ShellTool` | [docs](https://docs.praison.ai/docs/tools/shell) |
-| JSON Tools | Data | `from praisonai_tools import JSONTool` | [docs](https://docs.praison.ai/docs/tools/json) |
-| XML Tools | Data | `from praisonai_tools import XMLTool` | [docs](https://docs.praison.ai/docs/tools/xml) |
-| CSV Tools | Data | `from praisonai_tools import CSVTool` | [docs](https://docs.praison.ai/docs/tools/csv) |
-| PDF Tools | Documents | `from praisonai_tools import PDFTool` | [docs](https://docs.praison.ai/docs/tools/pdf) |
-| Calculator | Math | `from praisonai_tools import CalculatorTool` | [docs](https://docs.praison.ai/docs/tools/calculator) |
+Install all tools with: `pip install "praisonai[tools]"`
 
-> See [full tools documentation](https://docs.praison.ai/docs/tools/tools) for all available tools.
+| Tool | Category | Import | Docs |
+|------|----------|--------|------|
+| Tavily | Web Search | `from praisonai_tools import TavilyTool` | [docs](https://docs.praison.ai/docs/tools/external/tavily) |
+| DuckDuckGo | Web Search | `from praisonai_tools import DuckDuckGoTool` | [docs](https://docs.praison.ai/docs/tools/external/duckduckgo) |
+| Exa | Web Search | `from praisonai_tools import ExaTool` | [docs](https://docs.praison.ai/docs/tools/external/exa) |
+| Serper | Web Search | `from praisonai_tools import SerperTool` | [docs](https://docs.praison.ai/docs/tools/external/serper) |
+| Jina | Web Reader | `from praisonai_tools import JinaTool` | [docs](https://docs.praison.ai/docs/tools/external/jina) |
+| Firecrawl | Web Scraping | `from praisonai_tools import FirecrawlTool` | [docs](https://docs.praison.ai/docs/tools/external/firecrawl) |
+| Crawl4AI | Web Scraping | `from praisonai_tools import Crawl4AITool` | [docs](https://docs.praison.ai/docs/tools/external/crawl4ai) |
+| Wikipedia | Knowledge | `from praisonai_tools import WikipediaTool` | [docs](https://docs.praison.ai/docs/tools/external/wikipedia) |
+| ArXiv | Research | `from praisonai_tools import ArxivTool` | [docs](https://docs.praison.ai/docs/tools/external/arxiv) |
+| HackerNews | News | `from praisonai_tools import HackerNewsTool` | [docs](https://docs.praison.ai/docs/tools/external/hackernews) |
+| YouTube | Media | `from praisonai_tools import YouTubeTool` | [docs](https://docs.praison.ai/docs/tools/external/youtube) |
+| Weather | Data | `from praisonai_tools import WeatherTool` | [docs](https://docs.praison.ai/docs/tools/external/weather) |
+| PostgreSQL | Database | `from praisonai_tools import PostgresTool` | [docs](https://docs.praison.ai/docs/tools/external/postgres) |
+| MySQL | Database | `from praisonai_tools import MySQLTool` | [docs](https://docs.praison.ai/docs/tools/external/mysql) |
+| SQLite | Database | `from praisonai_tools import SQLiteTool` | [docs](https://docs.praison.ai/docs/tools/external/sqlite) |
+| MongoDB | Database | `from praisonai_tools import MongoDBTool` | [docs](https://docs.praison.ai/docs/tools/external/mongodb) |
+| Redis | Database | `from praisonai_tools import RedisTool` | [docs](https://docs.praison.ai/docs/tools/external/redis) |
+| Qdrant | Vector DB | `from praisonai_tools import QdrantTool` | [docs](https://docs.praison.ai/docs/tools/external/qdrant) |
+| GitHub | DevOps | `from praisonai_tools import GitHubTool` | [docs](https://docs.praison.ai/docs/tools/external/github) |
+| Slack | Communication | `from praisonai_tools import SlackTool` | [docs](https://docs.praison.ai/docs/tools/external/slack) |
+| Discord | Communication | `from praisonai_tools import DiscordTool` | [docs](https://docs.praison.ai/docs/tools/external/discord) |
+| Telegram | Communication | `from praisonai_tools import TelegramTool` | [docs](https://docs.praison.ai/docs/tools/external/telegram) |
+| Email | Communication | `from praisonai_tools import EmailTool` | [docs](https://docs.praison.ai/docs/tools/external/email) |
+| Notion | Productivity | `from praisonai_tools import NotionTool` | [docs](https://docs.praison.ai/docs/tools/external/notion) |
+| File | File System | `from praisonai_tools import FileTool` | [docs](https://docs.praison.ai/docs/tools/external/file) |
+| Shell | System | `from praisonai_tools import ShellTool` | [docs](https://docs.praison.ai/docs/tools/external/shell) |
+| Python | Code | `from praisonai_tools import PythonTool` | [docs](https://docs.praison.ai/docs/tools/external/python) |
+| JSON | Data | `from praisonai_tools import JSONTool` | [docs](https://docs.praison.ai/docs/tools/external/json) |
+| CSV | Data | `from praisonai_tools import CSVTool` | [docs](https://docs.praison.ai/docs/tools/external/csv) |
+| Calculator | Math | `from praisonai_tools import CalculatorTool` | [docs](https://docs.praison.ai/docs/tools/external/calculator) |
+
+> See [full tools documentation](https://docs.praison.ai/docs/tools/tools) for all 100+ available tools.
 
 ---
 

src/praisonai/praisonai.rb

@@ -3,8 +3,8 @@ class Praisonai < Formula
   
     desc "AI tools for various AI applications"
     homepage "https://github.com/MervinPraison/PraisonAI"
-    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.4.1.tar.gz"
-    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.4.1.tar.gz | shasum -a 256`.split.first
+    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.4.2.tar.gz"
+    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.4.2.tar.gz | shasum -a 256`.split.first
     license "MIT"
   
     depends_on "[email protected]"

src/praisonai/praisonai/deploy.py

@@ -57,7 +57,7 @@ class CloudDeployer:
             file.write("FROM python:3.11-slim\n")
             file.write("WORKDIR /app\n")
             file.write("COPY . .\n")
-            file.write("RUN pip install flask praisonai==2.4.1 gunicorn markdown\n")
+            file.write("RUN pip install flask praisonai==2.4.2 gunicorn markdown\n")
             file.write("EXPOSE 8080\n")
             file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n')
             

src/praisonai/praisonai/version.py

@@ -1 +1 @@
-__version__ = "2.4.1"
+__version__ = "2.4.2"