fix(security): complete PR #1121 security fixes

- unified_server.py: Replace unsafe eval() with AST-safe math evaluation
  - Whitelist allowed characters (0-9, +, -, *, /, ., (, ), space)
  - Validate AST nodes before execution
  - Execute with empty __builtins__ to block dangerous functions

- api.py: Fix XSS vulnerability in markdown output
  - Use bleach to sanitize HTML output (not input)
  - Whitelist safe HTML tags and protocols
  - Block javascript:, data:, vbscript: URLs
  - Fallback to escape() if bleach unavailable

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>=4.5.77" \
+    "praisonai>=4.5.80" \
     "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>=4.5.77" \
+    "praisonai>=4.5.80" \
     "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>=4.5.77" \
+    "praisonai>=4.5.80" \
     "praisonai[ui]" \
     "praisonai[crewai]"
 

examples/mcp_server/custom_tools_server.py

@@ -23,12 +23,22 @@ def main():
     @register_tool("custom.calculate")
     def calculate(expression: str) -> str:
         """Safely evaluate a mathematical expression."""
+        import ast
+        import operator
         try:
             # Only allow safe math operations
             allowed = set("0123456789+-*/.(). ")
             if not all(c in allowed for c in expression):
                 return "Error: Invalid characters in expression"
-            result = eval(expression)  # Safe due to character filtering
+            # Use ast.parse for safe evaluation of math expressions
+            tree = ast.parse(expression, mode='eval')
+            # Only allow numeric literals and basic math operators
+            for node in ast.walk(tree):
+                if not isinstance(node, (ast.Expression, ast.BinOp, ast.UnaryOp,
+                                        ast.Constant, ast.Add, ast.Sub, ast.Mult,
+                                        ast.Div, ast.USub, ast.UAdd)):
+                    return "Error: Only basic math operations are allowed"
+            result = eval(compile(tree, '<expr>', 'eval'), {"__builtins__": {}})
             return f"Result: {result}"
         except Exception as e:
             return f"Error: {e}"

examples/serve/mcp_http_server.py

@@ -44,12 +44,20 @@ def main():
     
     def calculate(expression: str) -> str:
         """Calculate a math expression safely."""
+        import ast
         try:
             # Safe eval for basic math
             allowed = set("0123456789+-*/.() ")
-            if all(c in allowed for c in expression):
-                return str(eval(expression))
-            return "Error: Invalid expression"
+            if not all(c in allowed for c in expression):
+                return "Error: Invalid expression"
+            # Use ast.parse to validate expression safety
+            tree = ast.parse(expression, mode='eval')
+            for node in ast.walk(tree):
+                if not isinstance(node, (ast.Expression, ast.BinOp, ast.UnaryOp,
+                                        ast.Constant, ast.Add, ast.Sub, ast.Mult,
+                                        ast.Div, ast.USub, ast.UAdd)):
+                    return "Error: Only basic math operations are allowed"
+            return str(eval(compile(tree, '<expr>', 'eval'), {"__builtins__": {}}))
         except Exception as e:
             return f"Error: {e}"
     

examples/serve/unified_server.py

@@ -135,9 +135,30 @@ def main():
             return {"error": str(e)}
     
     # MCP endpoints
+    def safe_calculate(expression: str) -> str:
+        """Safely evaluate a mathematical expression using AST."""
+        import ast
+        try:
+            # Only allow safe math characters
+            allowed = set("0123456789+-*/.() ")
+            if not all(c in allowed for c in expression):
+                return "Error: Invalid characters in expression"
+            # Use ast.parse for safe evaluation
+            tree = ast.parse(expression, mode='eval')
+            # Only allow numeric literals and basic math operators
+            for node in ast.walk(tree):
+                if not isinstance(node, (ast.Expression, ast.BinOp, ast.UnaryOp,
+                                        ast.Constant, ast.Add, ast.Sub, ast.Mult,
+                                        ast.Div, ast.USub, ast.UAdd)):
+                    return "Error: Only basic math operations are allowed"
+            result = eval(compile(tree, '<expr>', 'eval'), {"__builtins__": {}})
+            return str(result)
+        except Exception as e:
+            return f"Error: {e}"
+    
     mcp_tools = {
         "search": {"description": "Search the web", "func": lambda q: f"Results for: {q}"},
-        "calculate": {"description": "Calculate expression", "func": lambda e: str(eval(e)) if e.replace(" ", "").replace("+", "").replace("-", "").replace("*", "").replace("/", "").replace(".", "").isdigit() or True else "Error"},
+        "calculate": {"description": "Calculate expression", "func": safe_calculate},
     }
     
     @app.get("/mcp/tools")

src/praisonai-agents/.gitignore

@@ -93,4 +93,5 @@ chroma_db/
 
 .praisonai
 .windsurf
-.agent
+.agent
+.sfdx

src/praisonai-agents/mongodb_memory_basic.py

@@ -1,3 +1,5 @@
+import os
+
 from praisonaiagents import Agent, Task, AgentTeam
 from praisonaiagents.memory import Memory
 from praisonaiagents.agent import ContextAgent
@@ -10,7 +12,7 @@ context_output = context_agent.start("https://github.com/MervinPraison/PraisonAI
 mongodb_memory_config = {
     "provider": "mongodb",
     "config": {
-        "connection_string": "mongodb+srv://username:[email protected]/?retryWrites=true&w=majority&appName=Cluster2",
+        "connection_string": os.environ.get("MONGODB_CONNECTION_STRING", "mongodb+srv://localhost:27017/?retryWrites=true&w=majority"),
         "database": "praisonai_memory",
         "use_vector_search": True,
         "max_pool_size": 50,
@@ -49,7 +51,7 @@ print("\n=== MEMORY VALIDATION ===")
 
 try:
     # Check MongoDB connection and collections
-    client = pymongo.MongoClient("mongodb+srv://username:[email protected]/?retryWrites=true&w=majority&appName=Cluster2")
+    client = pymongo.MongoClient(os.environ.get("MONGODB_CONNECTION_STRING", "mongodb+srv://localhost:27017/?retryWrites=true&w=majority"))
     db = client["praisonai_memory"]
     collections = db.list_collection_names()
     print(f"Available collections: {collections}")

src/praisonai-agents/praisonaiagents/tools/crawl4ai_tools.py

@@ -29,17 +29,42 @@ from importlib import util
 
 
 def _check_crawl4ai_available() -> tuple[bool, Optional[str]]:
-    """Check if Crawl4AI is available.
-    
+    """Check if Crawl4AI and its Playwright browser binaries are available.
+
     Returns:
         Tuple of (is_available, error_message)
     """
     if util.find_spec("crawl4ai") is None:
-        return False, "crawl4ai package is not installed. Install it with: pip install crawl4ai && crawl4ai-setup"
-    
+        return False, (
+            "crawl4ai package is not installed. "
+            "Install it with: pip install 'praisonaiagents[crawl]'"
+        )
+
+    # Check that Playwright browser binaries have been downloaded.
+    # `playwright install` is a post-install OS step that pip never runs.
+    # We check the standard ms-playwright cache directory directly — no
+    # API calls, no process launches, no private internals.
+    try:
+        import os, pathlib
+        ms_pw = pathlib.Path(os.environ.get(
+            "PLAYWRIGHT_BROWSERS_PATH",
+            pathlib.Path.home() / ".cache" / "ms-playwright"
+        ))
+        if ms_pw.exists() and not list(ms_pw.glob("chromium-*")):
+            return False, (
+                "Playwright browsers are not installed.\n"
+                "Run this command once to download them:\n"
+                "  playwright install chromium\n"
+                "Or for Docker/CI: playwright install chromium --with-deps"
+            )
+        # If ms_pw doesn't exist yet, skip — _get_crawler will catch it.
+    except Exception:
+        pass
+
     return True, None
 
 
+
 class Crawl4AITools:
     """Crawl4AI web crawling and extraction tools.
     
@@ -81,9 +106,9 @@ class Crawl4AITools:
         is_available, error = _check_crawl4ai_available()
         if not is_available:
             raise ImportError(error)
-        
+
         from crawl4ai import AsyncWebCrawler, BrowserConfig
-        
+
         if self._crawler is None:
             browser_config = BrowserConfig(
                 headless=self.headless,
@@ -91,9 +116,22 @@ class Crawl4AITools:
                 browser_type=self.browser_type
             )
             self._crawler = AsyncWebCrawler(config=browser_config)
-            await self._crawler.start()
-        
+            try:
+                await self._crawler.start()
+            except Exception as e:
+                self._crawler = None
+                err_str = str(e)
+                if "Executable doesn't exist" in err_str or "playwright install" in err_str:
+                    raise RuntimeError(
+                        "Playwright browser not found. Run:\n"
+                        "  playwright install chromium\n"
+                        "Then retry. For Docker/CI use:\n"
+                        "  playwright install chromium --with-deps"
+                    ) from None
+                raise
+
         return self._crawler
+
     
     async def close(self):
         """Close the crawler and release resources."""
@@ -571,7 +609,7 @@ def crawl4ai_sync(
     Returns:
         Dict with crawl results
     """
-    return asyncio.get_event_loop().run_until_complete(
+    return asyncio.run(
         crawl4ai(url, css_selector, js_code, wait_for)
     )
 
@@ -591,7 +629,7 @@ def crawl4ai_extract_sync(
     Returns:
         Dict with extracted data
     """
-    return asyncio.get_event_loop().run_until_complete(
+    return asyncio.run(
         crawl4ai_extract(url, schema, js_code)
     )
 

src/praisonai-agents/praisonaiagents/tools/file_tools.py

@@ -286,12 +286,26 @@ class FileTools:
             }
         
         try:
+            # Validate URL to prevent SSRF
+            from urllib.parse import urlparse
+            parsed_url = urlparse(url)
+            if parsed_url.scheme not in ("http", "https"):
+                return {"success": False, "path": "", "size": 0, "error": f"Unsupported URL scheme: {parsed_url.scheme}"}
+            import ipaddress, socket
+            try:
+                hostname = parsed_url.hostname or ""
+                ip = ipaddress.ip_address(socket.gethostbyname(hostname))
+                if ip.is_private or ip.is_loopback or ip.is_reserved or ip.is_link_local:
+                    return {"success": False, "path": "", "size": 0, "error": f"URL resolves to private/reserved IP: {ip}"}
+            except (socket.gaierror, ValueError):
+                pass  # Let the request handle DNS resolution errors
+
             # Validate destination path
             safe_path = FileTools._validate_path(destination)
-            
+
             # Create directory if needed
             os.makedirs(os.path.dirname(safe_path) or ".", exist_ok=True)
-            
+
             # Download file
             with httpx.stream("GET", url, timeout=timeout, follow_redirects=True) as response:
                 response.raise_for_status()

src/praisonai-agents/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "praisonaiagents"
-version = "1.5.77"
+version = "1.5.80"
 description = "Praison AI agents for completing complex tasks with Self Reflection Agents"
 readme = "README.md"
 requires-python = ">=3.10"
@@ -93,6 +93,13 @@ search = [
     "ddgs>=9.0.0",
 ]
 
+# Web crawling (Crawl4AI + Playwright browser)
+# NOTE: After installing this extra, run: playwright install chromium
+crawl = [
+    "crawl4ai>=0.4.0",
+    "playwright>=1.47.0",
+]
+
 # Combined features
 all = [
     "praisonaiagents[memory]",
@@ -104,7 +111,8 @@ all = [
     "praisonaiagents[telemetry]",
     "praisonaiagents[mongodb]",
     "praisonaiagents[auth]",
-    "praisonaiagents[search]"
+    "praisonaiagents[search]",
+    "praisonaiagents[crawl]"
 ]
 
 [tool.setuptools.packages.find]

src/praisonai/api.py

@@ -1,4 +1,5 @@
 from flask import Flask
+from markupsafe import escape
 import markdown
 
 app = Flask(__name__)
@@ -11,7 +12,25 @@ def basic():
 @app.route('/')
 def home():
     output = basic()
-    html_output = markdown.markdown(output)
+    # Convert markdown to HTML, then sanitize the output to prevent XSS
+    html_output = markdown.markdown(str(output))
+    # Use bleach to sanitize HTML output (allows safe tags only)
+    try:
+        import bleach
+        allowed_tags = ['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'ul', 'ol', 'li', 
+                       'strong', 'em', 'code', 'pre', 'blockquote', 'a', 'br', 'hr']
+        allowed_attrs = {'a': ['href', 'title']}
+        # Strip javascript: URLs from href attributes
+        def filter_href(tag, name, value):
+            if name == 'href':
+                if value.lower().startswith(('javascript:', 'data:', 'vbscript:')):
+                    return False
+            return True
+        html_output = bleach.clean(html_output, tags=allowed_tags, attributes=allowed_attrs, 
+                                   strip=True, protocols=['http', 'https', 'mailto'])
+    except ImportError:
+        # Fallback: escape the entire output if bleach not available
+        html_output = str(escape(html_output))
     return f'<html><body>{html_output}</body></html>'
 
 if __name__ == "__main__":

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/v4.5.77.tar.gz"
-    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v4.5.77.tar.gz | shasum -a 256`.split.first
+    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v4.5.80.tar.gz"
+    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v4.5.80.tar.gz | shasum -a 256`.split.first
     license "MIT"
   
     depends_on "[email protected]"

src/praisonai/praisonai/adapters/readers.py

@@ -271,6 +271,23 @@ class URLReader:
                 return []
         
         try:
+            # Validate URL to prevent SSRF
+            from urllib.parse import urlparse
+            parsed = urlparse(source)
+            if parsed.scheme not in ("http", "https"):
+                logger.error(f"Unsupported URL scheme: {parsed.scheme}")
+                return []
+            import ipaddress
+            try:
+                import socket
+                hostname = parsed.hostname or ""
+                ip = ipaddress.ip_address(socket.gethostbyname(hostname))
+                if ip.is_private or ip.is_loopback or ip.is_reserved or ip.is_link_local:
+                    logger.error(f"URL resolves to private/reserved IP: {ip}")
+                    return []
+            except (socket.gaierror, ValueError):
+                pass  # Let the request handle DNS resolution errors
+
             response = httpx.get(source, timeout=30, follow_redirects=True)
             response.raise_for_status()
             content = response.text

src/praisonai/praisonai/cli/features/hybrid_workflow.py

@@ -312,13 +312,23 @@ class HybridWorkflowExecutor:
         return flags
 
     def _eval_condition(self, condition: str, flags: Dict) -> bool:
-        """Evaluate a simple condition expression."""
+        """Evaluate a simple condition expression safely."""
+        import ast
+
         condition = condition.strip()
         if condition.startswith("{{") and condition.endswith("}}"):
             condition = condition[2:-2].strip()
 
-        context = {"flags": type("Flags", (), flags)(), "env": os.environ}
+        # Handle simple attribute lookups like "flags.verbose" or "env.DEBUG"
+        context = {"flags": flags, "env": dict(os.environ)}
         try:
-            return bool(eval(condition, {"__builtins__": {}}, context))
-        except Exception:
+            # Only allow simple attribute access patterns: obj.attr
+            parts = condition.split(".")
+            if len(parts) == 2 and parts[0] in context:
+                obj = context[parts[0]]
+                if isinstance(obj, dict):
+                    return bool(obj.get(parts[1], False))
+            # Try literal eval for simple boolean/numeric expressions
+            return bool(ast.literal_eval(condition))
+        except (ValueError, KeyError, TypeError):
             return False

src/praisonai/praisonai/cli/features/job_workflow.py

@@ -719,17 +719,26 @@ class JobWorkflowExecutor:
     # ------------------------------------------------------------------
 
     def _eval_condition(self, condition: str, flags: Dict) -> bool:
-        """Evaluate a simple condition expression."""
+        """Evaluate a simple condition expression safely."""
+        import ast
+
         # Strip {{ }} if present
         condition = condition.strip()
         if condition.startswith("{{") and condition.endswith("}}"):
             condition = condition[2:-2].strip()
 
-        # Build evaluation context
-        context = {"flags": type("Flags", (), flags)(), "env": os.environ}
+        # Handle simple attribute lookups like "flags.verbose" or "env.DEBUG"
+        context = {"flags": flags, "env": dict(os.environ)}
         try:
-            return bool(eval(condition, {"__builtins__": {}}, context))
-        except Exception:
+            # Only allow simple attribute access patterns: obj.attr
+            parts = condition.split(".")
+            if len(parts) == 2 and parts[0] in context:
+                obj = context[parts[0]]
+                if isinstance(obj, dict):
+                    return bool(obj.get(parts[1], False))
+            # Try literal eval for simple boolean/numeric expressions
+            return bool(ast.literal_eval(condition))
+        except (ValueError, KeyError, TypeError):
             return False
 
     # ------------------------------------------------------------------

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==4.5.77 gunicorn markdown\n")
+            file.write("RUN pip install flask praisonai==4.5.80 gunicorn markdown\n")
             file.write("EXPOSE 8080\n")
             file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n')
             

src/praisonai/praisonai/persistence/conversation/surrealdb.py

@@ -237,7 +237,7 @@ class SurrealDBConversationStore(ConversationStore):
             params["after"] = after
         
         where = "WHERE " + " AND ".join(conditions)
-        limit_clause = f"LIMIT {limit}" if limit else ""
+        limit_clause = f"LIMIT {int(limit)}" if limit else ""
         
         result = self._run_sync(
             self._client.query(

src/praisonai/praisonai/persistence/knowledge/clickhouse.py

@@ -6,6 +6,7 @@ Install: pip install clickhouse-connect
 """
 
 import logging
+import re
 from typing import Any, Dict, List, Optional
 
 from .base import KnowledgeStore, KnowledgeDocument
@@ -13,6 +14,13 @@ from .base import KnowledgeStore, KnowledgeDocument
 logger = logging.getLogger(__name__)
 
 
+def _sanitize_identifier(name: str) -> str:
+    """Sanitize a SQL identifier (table/database name) to prevent injection."""
+    if not re.match(r'^[a-zA-Z_][a-zA-Z0-9_.]*$', name):
+        raise ValueError(f"Invalid identifier: {name}")
+    return name
+
+
 class ClickHouseKnowledgeStore(KnowledgeStore):
     """
     ClickHouse-based knowledge store using vector search.
@@ -52,11 +60,11 @@ class ClickHouseKnowledgeStore(KnowledgeStore):
         self.database = database
         
         # Create database if not exists
-        self._client.command(f"CREATE DATABASE IF NOT EXISTS {database}")
+        self._client.command(f"CREATE DATABASE IF NOT EXISTS {_sanitize_identifier(database)}")
         logger.info(f"Connected to ClickHouse database: {database}")
     
     def _table_name(self, collection: str) -> str:
-        return f"{self.database}.praison_vec_{collection}"
+        return _sanitize_identifier(f"{self.database}.praison_vec_{collection}")
     
     def create_collection(
         self,
@@ -98,10 +106,11 @@ class ClickHouseKnowledgeStore(KnowledgeStore):
     
     def list_collections(self) -> List[str]:
         """List all collections."""
-        result = self._client.query(f"""
-            SELECT name FROM system.tables 
-            WHERE database = '{self.database}' AND name LIKE 'praison_vec_%'
-        """)
+        db = _sanitize_identifier(self.database)
+        result = self._client.query(
+            "SELECT name FROM system.tables WHERE database = %(db)s AND name LIKE 'praison_vec_%%'",
+            parameters={"db": db}
+        )
         return [row[0].replace("praison_vec_", "") for row in result.result_rows]
     
     def insert(
@@ -156,19 +165,20 @@ class ClickHouseKnowledgeStore(KnowledgeStore):
         """Search for similar documents using cosine distance."""
         table = self._table_name(collection)
         
-        # Convert embedding to string for query
-        embedding_str = "[" + ",".join(map(str, query_embedding)) + "]"
-        
+        # Convert embedding to validated float array for query
+        embedding_str = "[" + ",".join(str(float(x)) for x in query_embedding) + "]"
+        limit = int(limit)
+
         query = f"""
-            SELECT 
+            SELECT
                 id, content, content_hash, created_at,
                 1 - cosineDistance(embedding, {embedding_str}) as score
             FROM {table}
         """
-        
+
         if score_threshold:
-            query += f" WHERE 1 - cosineDistance(embedding, {embedding_str}) >= {score_threshold}"
-        
+            query += f" WHERE 1 - cosineDistance(embedding, {embedding_str}) >= {float(score_threshold)}"
+
         query += f" ORDER BY score DESC LIMIT {limit}"
         
         result = self._client.query(query)
@@ -195,11 +205,12 @@ class ClickHouseKnowledgeStore(KnowledgeStore):
         """Get documents by IDs."""
         table = self._table_name(collection)
         
-        id_list = ", ".join([f"'{i}'" for i in ids])
-        result = self._client.query(f"""
-            SELECT id, content, content_hash, created_at, embedding
-            FROM {table} WHERE id IN ({id_list})
-        """)
+        placeholders = ", ".join(["%(id_{})s".format(idx) for idx in range(len(ids))])
+        params = {"id_{}".format(idx): i for idx, i in enumerate(ids)}
+        result = self._client.query(
+            f"SELECT id, content, content_hash, created_at, embedding FROM {table} WHERE id IN ({placeholders})",
+            parameters=params
+        )
         
         documents = []
         for row in result.result_rows:
@@ -225,8 +236,12 @@ class ClickHouseKnowledgeStore(KnowledgeStore):
         table = self._table_name(collection)
         
         if ids:
-            id_list = ", ".join([f"'{i}'" for i in ids])
-            self._client.command(f"ALTER TABLE {table} DELETE WHERE id IN ({id_list})")
+            placeholders = ", ".join(["%(id_{})s".format(idx) for idx in range(len(ids))])
+            params = {"id_{}".format(idx): i for idx, i in enumerate(ids)}
+            self._client.command(
+                f"ALTER TABLE {table} DELETE WHERE id IN ({placeholders})",
+                parameters=params
+            )
             return len(ids)
         return 0
     

src/praisonai/praisonai/persistence/knowledge/lancedb.py

@@ -6,6 +6,7 @@ Install: pip install lancedb
 """
 
 import logging
+import re
 from typing import Any, Dict, List, Optional
 
 from .base import KnowledgeStore, KnowledgeDocument
@@ -13,6 +14,18 @@ from .base import KnowledgeStore, KnowledgeDocument
 logger = logging.getLogger(__name__)
 
 
+def _sanitize_identifier(name: str) -> str:
+    """Sanitize a SQL identifier to prevent injection."""
+    if not re.match(r'^[a-zA-Z_][a-zA-Z0-9_]*$', name):
+        raise ValueError(f"Invalid identifier: {name}")
+    return name
+
+
+def _escape_value(val: str) -> str:
+    """Escape a string value for use in LanceDB WHERE clauses."""
+    return str(val).replace("'", "''").replace("\\", "\\\\")
+
+
 class LanceDBKnowledgeStore(KnowledgeStore):
     """
     LanceDB-based knowledge store for vector search.
@@ -140,9 +153,9 @@ class LanceDBKnowledgeStore(KnowledgeStore):
         query = table.search(query_embedding).limit(limit)
         
         if filters:
-            where_clauses = [f"{k} = '{v}'" for k, v in filters.items()]
+            where_clauses = [f"{_sanitize_identifier(k)} = '{_escape_value(v)}'" for k, v in filters.items()]
             query = query.where(" AND ".join(where_clauses))
-        
+
         results = query.to_pandas()
         
         documents = []
@@ -170,7 +183,7 @@ class LanceDBKnowledgeStore(KnowledgeStore):
         """Get documents by IDs."""
         table = self._get_table(collection)
         
-        id_list = ", ".join([f"'{i}'" for i in ids])
+        id_list = ", ".join([f"'{_escape_value(i)}'" for i in ids])
         results = table.search().where(f"id IN ({id_list})").to_pandas()
         
         documents = []
@@ -197,11 +210,11 @@ class LanceDBKnowledgeStore(KnowledgeStore):
         table = self._get_table(collection)
         
         if ids:
-            id_list = ", ".join([f"'{i}'" for i in ids])
+            id_list = ", ".join([f"'{_escape_value(i)}'" for i in ids])
             table.delete(f"id IN ({id_list})")
             return len(ids)
         elif filters:
-            where_clauses = [f"{k} = '{v}'" for k, v in filters.items()]
+            where_clauses = [f"{_sanitize_identifier(k)} = '{_escape_value(v)}'" for k, v in filters.items()]
             table.delete(" AND ".join(where_clauses))
             return -1
         return 0

src/praisonai/praisonai/persistence/knowledge/milvus.py

@@ -6,6 +6,7 @@ Install: pip install pymilvus
 """
 
 import logging
+import re
 from typing import Any, Dict, List, Optional
 
 from .base import KnowledgeStore, KnowledgeDocument
@@ -13,6 +14,18 @@ from .base import KnowledgeStore, KnowledgeDocument
 logger = logging.getLogger(__name__)
 
 
+def _sanitize_identifier(name: str) -> str:
+    """Sanitize a Milvus field name to prevent injection."""
+    if not re.match(r'^[a-zA-Z_][a-zA-Z0-9_]*$', name):
+        raise ValueError(f"Invalid field name: {name}")
+    return name
+
+
+def _escape_value(val: str) -> str:
+    """Escape a string value for use in Milvus expressions."""
+    return str(val).replace('\\', '\\\\').replace('"', '\\"')
+
+
 class MilvusKnowledgeStore(KnowledgeStore):
     """
     Milvus-based knowledge store for vector search.
@@ -180,9 +193,9 @@ class MilvusKnowledgeStore(KnowledgeStore):
         
         expr = None
         if filters:
-            conditions = [f'{k} == "{v}"' for k, v in filters.items()]
+            conditions = [f'{_sanitize_identifier(k)} == "{_escape_value(v)}"' for k, v in filters.items()]
             expr = " and ".join(conditions)
-        
+
         results = col.search(
             data=[query_embedding],
             anns_field="vector",
@@ -220,9 +233,9 @@ class MilvusKnowledgeStore(KnowledgeStore):
         col = Collection(collection)
         col.load()
         
-        id_list = ", ".join([f'"{i}"' for i in ids])
+        id_list = ", ".join([f'"{_escape_value(i)}"' for i in ids])
         expr = f"id in [{id_list}]"
-        
+
         results = col.query(
             expr=expr,
             output_fields=["id", "content", "content_hash", "created_at", "vector"],
@@ -254,12 +267,12 @@ class MilvusKnowledgeStore(KnowledgeStore):
         col.load()
         
         if ids:
-            id_list = ", ".join([f'"{i}"' for i in ids])
+            id_list = ", ".join([f'"{_escape_value(i)}"' for i in ids])
             expr = f"id in [{id_list}]"
             col.delete(expr)
             return len(ids)
         elif filters:
-            conditions = [f'{k} == "{v}"' for k, v in filters.items()]
+            conditions = [f'{_sanitize_identifier(k)} == "{_escape_value(v)}"' for k, v in filters.items()]
             expr = " and ".join(conditions)
             col.delete(expr)
             return -1

src/praisonai/praisonai/persistence/knowledge/singlestore_vector.py

@@ -5,6 +5,7 @@ Requires: singlestoredb
 Install: pip install singlestoredb
 """
 
+import json
 import logging
 from typing import Any, Dict, List, Optional
 
@@ -227,7 +228,7 @@ class SingleStoreVectorKnowledgeStore(KnowledgeStore):
                 documents.append(KnowledgeDocument(
                     id=row[0],
                     content=row[1],
-                    metadata=eval(row[2]) if row[2] else None,
+                    metadata=json.loads(row[2]) if row[2] else None,
                     content_hash=row[3],
                     created_at=row[4]
                 ))
@@ -256,7 +257,7 @@ class SingleStoreVectorKnowledgeStore(KnowledgeStore):
                 KnowledgeDocument(
                     id=row[0],
                     content=row[1],
-                    metadata=eval(row[2]) if row[2] else None,
+                    metadata=json.loads(row[2]) if row[2] else None,
                     content_hash=row[3],
                     created_at=row[4]
                 )

src/praisonai/praisonai/persistence/knowledge/surrealdb_vector.py

@@ -199,8 +199,9 @@ class SurrealDBVectorKnowledgeStore(KnowledgeStore):
         """Search for similar documents using vector search."""
         self._init_client()
         
-        # SurrealDB vector search query
-        embedding_str = str(query_embedding)
+        # SurrealDB vector search query - validate numeric inputs
+        embedding_str = "[" + ",".join(str(float(x)) for x in query_embedding) + "]"
+        limit = int(limit)
         query = f"""
             SELECT *, vector::similarity::cosine(embedding, {embedding_str}) AS score
             FROM {collection}

src/praisonai/praisonai/replay/applier.py

@@ -56,7 +56,7 @@ class PlanApplier:
         # Try to use ruamel.yaml for comment preservation
         try:
             from ruamel.yaml import YAML
-            self._yaml = YAML()
+            self._yaml = YAML(typ='safe')
             self._yaml.preserve_quotes = True
             self._use_ruamel = True
         except ImportError:

src/praisonai/praisonai/version.py

@@ -1 +1 @@
-__version__ = "4.5.77"
+__version__ = "4.5.80"

src/praisonai/pyproject.toml

@@ -12,7 +12,7 @@ dependencies = [
     "rich>=13.7",
     "markdown>=3.5",
     "pyparsing>=3.0.0",
-    "praisonaiagents>=1.5.77",
+    "praisonaiagents>=1.5.80",
     "python-dotenv>=0.19.0",
     "litellm>=1.81.0",
     "PyYAML>=6.0",
@@ -72,6 +72,7 @@ realtime = [
     "greenlet>=3.0.3",
     "tavily-python==0.5.0",
     "crawl4ai>=0.7.0",
+    "playwright>=1.47.0",    # required by crawl4ai — browsers still need: playwright install chromium
     "websockets>=12.0",
     "plotly>=5.24.0",
     "yfinance>=0.2.44",
@@ -158,6 +159,7 @@ claw = [
     # Search + browsing
     "tavily-python==0.5.0",
     "crawl4ai>=0.7.0",
+    "playwright>=1.47.0",    # required by crawl4ai — browsers still need: playwright install chromium
     "websockets>=12.0",
     "ddgs>=9.0.0",
     # Shell tools

src/praisonai/uv.lock

@@ -4811,6 +4811,7 @@ claw = [
     { name = "fastapi" },
     { name = "flask" },
     { name = "greenlet" },
+    { name = "playwright" },
     { name = "praisonaiagents", extra = ["all"] },
     { name = "psutil" },
     { name = "python-telegram-bot" },
@@ -4855,6 +4856,7 @@ realtime = [
     { name = "crawl4ai" },
     { name = "ddgs" },
     { name = "greenlet" },
+    { name = "playwright" },
     { name = "plotly" },
     { name = "sqlalchemy" },
     { name = "tavily-python" },
@@ -4929,13 +4931,15 @@ requires-dist = [
     { name = "neonize", marker = "extra == 'bot-whatsapp-web'", specifier = ">=0.3.14" },
     { name = "playwright", marker = "extra == 'all'", specifier = ">=1.47.0" },
     { name = "playwright", marker = "extra == 'chat'", specifier = ">=1.47.0" },
+    { name = "playwright", marker = "extra == 'claw'", specifier = ">=1.47.0" },
     { name = "playwright", marker = "extra == 'code'", specifier = ">=1.47.0" },
+    { name = "playwright", marker = "extra == 'realtime'", specifier = ">=1.47.0" },
     { name = "plotly", marker = "extra == 'all'", specifier = ">=5.24.0" },
     { name = "plotly", marker = "extra == 'realtime'", specifier = ">=5.24.0" },
     { name = "praisonai-tools", marker = "extra == 'autogen'", specifier = ">=0.1.0" },
     { name = "praisonai-tools", marker = "extra == 'autogen-v4'", specifier = ">=0.1.0" },
     { name = "praisonai-tools", marker = "extra == 'crewai'", specifier = ">=0.1.0" },
-    { name = "praisonaiagents", specifier = ">=1.5.77" },
+    { name = "praisonaiagents", specifier = ">=1.5.80" },
     { name = "praisonaiagents", extras = ["all"], marker = "extra == 'claw'", specifier = ">=1.5.40" },
     { name = "psutil", marker = "extra == 'all'", specifier = ">=5.9.0" },
     { name = "psutil", marker = "extra == 'bot'", specifier = ">=5.9.0" },
@@ -5005,7 +5009,7 @@ wheels = [
 
 [[package]]
 name = "praisonaiagents"
-version = "1.5.77"
+version = "1.5.80"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohttp" },
@@ -5014,15 +5018,16 @@ dependencies = [
     { name = "pydantic" },
     { name = "rich" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/ea/62/6f07c614e53003241337e2e8ef65b534c6c2d9887f3315626c232a12f045/praisonaiagents-1.5.77.tar.gz", hash = "sha256:f500fe1abc0e377645d8a11811ed968e2fa1c3110d121a57447b5a22c45ca94a", size = 1203700, upload-time = "2026-03-18T14:39:27.563Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/6e/3b/6c88188227bac16f88e7b141568cebb03d6ef46f38935e3bb8408a400017/praisonaiagents-1.5.80.tar.gz", hash = "sha256:fa0b803943e5aab8ce4099c8257e8f5378648a19668ec046749aa3babad99d57", size = 1204298, upload-time = "2026-03-18T21:06:55.71Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/05/c6/b621a6f15ff699e7e94fa81347d10db2db33b69bf014c6cb4b30a4830151/praisonaiagents-1.5.77-py3-none-any.whl", hash = "sha256:418fde99fb48cee57d352f00f4f35c15244fbc53b7db6a667e1c188ccc36a6bf", size = 1248318, upload-time = "2026-03-18T14:39:25.66Z" },
+    { url = "https://files.pythonhosted.org/packages/b3/76/ab37e313ad3e756c39df8f5b180613169ff8074a293aaba52fbdef88928e/praisonaiagents-1.5.80-py3-none-any.whl", hash = "sha256:e1590e6bbbda526e13d3654ab17cab6a2a602af4508fabe7a8cd389213658efe", size = 1248857, upload-time = "2026-03-18T21:06:53.898Z" },
 ]
 
 [package.optional-dependencies]
 all = [
     { name = "chonkie" },
     { name = "chromadb" },
+    { name = "crawl4ai" },
     { name = "ddgs" },
     { name = "fastapi" },
     { name = "litellm" },
@@ -5031,6 +5036,7 @@ all = [
     { name = "mem0ai", extra = ["graph"] },
     { name = "motor" },
     { name = "passlib", extra = ["bcrypt"] },
+    { name = "playwright" },
     { name = "posthog" },
     { name = "pydantic" },
     { name = "pyjwt" },