Update PraisonAI and related dependencies to version 2.2.43 and praisonaiagents to version 0.0.116 across Dockerfiles, README, and project files for consistency and compatibility.

fix: add array schema validation to llm.py for MCP tools compatibility

docker/Dockerfile

@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
 # Install Python packages (using latest versions)
 RUN pip install --no-cache-dir \
     flask \
-    "praisonai>=2.2.42" \
+    "praisonai>=2.2.43" \
     "praisonai[api]" \
     gunicorn \
     markdown

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>=2.2.42" \
+    "praisonai>=2.2.43" \
     "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>=2.2.42" \
+    "praisonai>=2.2.43" \
     "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>=2.2.42" \
+    "praisonai>=2.2.43" \
     "praisonai[ui]" \
     "praisonai[crewai]"
 

docker/README.md

@@ -121,7 +121,7 @@ healthcheck:
 ## 📦 Package Versions
 
 All Docker images use consistent, up-to-date versions:
-- PraisonAI: `>=2.2.42`
+- PraisonAI: `>=2.2.43`
 - PraisonAI Agents: `>=0.0.92`
 - Python: `3.11-slim`
 
@@ -218,7 +218,7 @@ docker-compose up -d
 ### Version Pinning
 To use specific versions, update the Dockerfile:
 ```dockerfile
-RUN pip install "praisonai==2.2.42" "praisonaiagents==0.0.92"
+RUN pip install "praisonai==2.2.43" "praisonaiagents==0.0.92"
 ```
 
 ## 🌐 Production Deployment

src/praisonai-agents/praisonaiagents/llm/llm.py

@@ -364,6 +364,46 @@ class LLM:
         
         return messages, original_prompt
 
+    def _fix_array_schemas(self, schema: Dict) -> Dict:
+        """
+        Recursively fix array schemas by adding missing 'items' attribute.
+        
+        This ensures compatibility with OpenAI's function calling format which
+        requires array types to specify the type of items they contain.
+        
+        Args:
+            schema: The schema dictionary to fix
+            
+        Returns:
+            dict: The fixed schema
+        """
+        if not isinstance(schema, dict):
+            return schema
+            
+        # Create a copy to avoid modifying the original
+        fixed_schema = schema.copy()
+        
+        # Fix array types at the current level
+        if fixed_schema.get("type") == "array" and "items" not in fixed_schema:
+            # Add a default items schema for arrays without it
+            fixed_schema["items"] = {"type": "string"}
+            
+        # Recursively fix nested schemas in properties
+        if "properties" in fixed_schema and isinstance(fixed_schema["properties"], dict):
+            fixed_properties = {}
+            for prop_name, prop_schema in fixed_schema["properties"].items():
+                if isinstance(prop_schema, dict):
+                    fixed_properties[prop_name] = self._fix_array_schemas(prop_schema)
+                else:
+                    fixed_properties[prop_name] = prop_schema
+            fixed_schema["properties"] = fixed_properties
+            
+        # Fix items schema if it exists
+        if "items" in fixed_schema and isinstance(fixed_schema["items"], dict):
+            fixed_schema["items"] = self._fix_array_schemas(fixed_schema["items"])
+            
+        return fixed_schema
+
     def _format_tools_for_litellm(self, tools: Optional[List[Any]]) -> Optional[List[Dict]]:
         """Format tools for LiteLLM - handles all tool formats.
         
@@ -389,7 +429,11 @@ class LLM:
                 # Validate nested dictionary structure before accessing
                 if 'function' in tool and isinstance(tool['function'], dict) and 'name' in tool['function']:
                     logging.debug(f"Using pre-formatted OpenAI tool: {tool['function']['name']}")
-                    formatted_tools.append(tool)
+                    # Fix array schemas in the tool parameters
+                    fixed_tool = tool.copy()
+                    if 'parameters' in fixed_tool['function']:
+                        fixed_tool['function']['parameters'] = self._fix_array_schemas(fixed_tool['function']['parameters'])
+                    formatted_tools.append(fixed_tool)
                 else:
                     logging.debug(f"Skipping malformed OpenAI tool: missing function or name")
             # Handle lists of tools (e.g. from MCP.to_openai_tool())
@@ -399,7 +443,11 @@ class LLM:
                         # Validate nested dictionary structure before accessing
                         if 'function' in subtool and isinstance(subtool['function'], dict) and 'name' in subtool['function']:
                             logging.debug(f"Using pre-formatted OpenAI tool from list: {subtool['function']['name']}")
-                            formatted_tools.append(subtool)
+                            # Fix array schemas in the tool parameters
+                            fixed_tool = subtool.copy()
+                            if 'parameters' in fixed_tool['function']:
+                                fixed_tool['function']['parameters'] = self._fix_array_schemas(fixed_tool['function']['parameters'])
+                            formatted_tools.append(fixed_tool)
                         else:
                             logging.debug(f"Skipping malformed OpenAI tool in list: missing function or name")
             elif callable(tool):
@@ -2153,7 +2201,7 @@ Output MUST be JSON with 'reflection' and 'satisfactory'.
             "function": {
                 "name": function_name,
                 "description": docstring.split('\n\n')[0] if docstring else "No description available",
-                "parameters": parameters
+                "parameters": self._fix_array_schemas(parameters)
             }
         }
         logging.debug(f"Generated tool definition: {tool_def}")

src/praisonai-agents/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "praisonaiagents"
-version = "0.0.115"
+version = "0.0.116"
 description = "Praison AI agents for completing complex tasks with Self Reflection Agents"
 requires-python = ">=3.10"
 authors = [

src/praisonai-agents/uv.lock

@@ -2375,7 +2375,7 @@ wheels = [
 
 [[package]]
 name = "praisonaiagents"
-version = "0.0.115"
+version = "0.0.116"
 source = { editable = "." }
 dependencies = [
     { name = "mcp" },

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/v2.2.42.tar.gz"
-    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.42.tar.gz | shasum -a 256`.split.first
+    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.43.tar.gz"
+    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.43.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==2.2.42 gunicorn markdown\n")
+            file.write("RUN pip install flask praisonai==2.2.43 gunicorn markdown\n")
             file.write("EXPOSE 8080\n")
             file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n')
             

src/praisonai/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "PraisonAI"
-version = "2.2.42"
+version = "2.2.43"
 description = "PraisonAI is an AI Agents Framework with Self Reflection. PraisonAI application combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human-agent collaboration."
 readme = "README.md"
 license = ""
@@ -12,7 +12,7 @@ dependencies = [
     "rich>=13.7",
     "markdown>=3.5",
     "pyparsing>=3.0.0",
-    "praisonaiagents>=0.0.115",
+    "praisonaiagents>=0.0.116",
     "python-dotenv>=0.19.0",
     "instructor>=1.3.3",
     "PyYAML>=6.0",
@@ -95,7 +95,7 @@ autogen = ["pyautogen>=0.2.19", "praisonai-tools>=0.0.15", "crewai"]
 
 [tool.poetry]
 name = "PraisonAI"
-version = "2.2.42"
+version = "2.2.43"
 description = "PraisonAI is an AI Agents Framework with Self Reflection. PraisonAI application combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human-agent collaboration."
 authors = ["Mervin Praison"]
 license = ""
@@ -113,7 +113,7 @@ python = ">=3.10,<3.13"
 rich = ">=13.7"
 markdown = ">=3.5"
 pyparsing = ">=3.0.0"
-praisonaiagents = ">=0.0.115"
+praisonaiagents = ">=0.0.116"
 python-dotenv = ">=0.19.0"
 instructor = ">=1.3.3"
 PyYAML = ">=6.0"

src/praisonai/uv.lock

@@ -3931,7 +3931,7 @@ wheels = [
 
 [[package]]
 name = "praisonai"
-version = "2.2.42"
+version = "2.2.43"
 source = { editable = "." }
 dependencies = [
     { name = "instructor" },
@@ -4073,7 +4073,7 @@ requires-dist = [
     { name = "plotly", marker = "extra == 'realtime'", specifier = ">=5.24.0" },
     { name = "praisonai-tools", marker = "extra == 'autogen'", specifier = ">=0.0.15" },
     { name = "praisonai-tools", marker = "extra == 'crewai'", specifier = ">=0.0.15" },
-    { name = "praisonaiagents", specifier = ">=0.0.115" },
+    { name = "praisonaiagents", specifier = ">=0.0.116" },
     { name = "pyautogen", marker = "extra == 'autogen'", specifier = ">=0.2.19" },
     { name = "pydantic", marker = "extra == 'chat'", specifier = "<=2.10.1" },
     { name = "pydantic", marker = "extra == 'code'", specifier = "<=2.10.1" },
@@ -4130,7 +4130,7 @@ wheels = [
 
 [[package]]
 name = "praisonaiagents"
-version = "0.0.115"
+version = "0.0.116"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "mcp" },
@@ -4139,9 +4139,9 @@ dependencies = [
     { name = "pydantic" },
     { name = "rich" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/c4/f3/33062dc9811b44ac0dc760b88ca3f3ce52f205021f5392785b4959e695f0/praisonaiagents-0.0.115.tar.gz", hash = "sha256:67fc681325846eb56c82ae2aba8907e9a3c934b91a754729c6e37071418b9dd3", size = 172218 }
+sdist = { url = "https://files.pythonhosted.org/packages/5e/3b/61a7b4b57817b2d5eabdac89df126ef39ba06c7a43d7b17786d7d6882f44/praisonaiagents-0.0.116.tar.gz", hash = "sha256:6e5de5ece6c2550fee9a59cf3d0c9a8da09cd22acfaf8037873b7649493962ca", size = 172642 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/92/ac/e4db3abf1acd9a0f9d24771ab3e71b70a11ca580bae1158287a1e5670ed5/praisonaiagents-0.0.115-py3-none-any.whl", hash = "sha256:7815f9882994fc512dacbc0808d7df2591f16189a1b044e361f01ae98719d6f1", size = 192799 },
+    { url = "https://files.pythonhosted.org/packages/21/4f/5fbe1e129f5b0ab7386e17dbb4f7cc97ec896291db82b601605d4721616d/praisonaiagents-0.0.116-py3-none-any.whl", hash = "sha256:2449de40da7653100b247c3338afe0dcde3b0dc4227c3edd0111e24b4f5083ab", size = 193268 },
 ]
 
 [[package]]