chore: update PraisonAI and related package versions to 2.2.49 and 0.0.123

- Updated PraisonAI version from 2.2.48 to 2.2.49 across Dockerfiles, README, and Ruby formula.
- Incremented praisonaiagents version from 0.0.122 to 0.0.123 in relevant files.
- Ensured consistency in package versions for improved stability and functionality.

.github/workflows/auto-issue-comment.yml

@@ -13,10 +13,11 @@ jobs:
       - name: Add automated comment
         uses: actions/github-script@v7
         with:
+          github-token: ${{ secrets.GH_TOKEN }}
           script: |
             github.rest.issues.createComment({
               issue_number: context.issue.number,
               owner: context.repo.owner,
               repo: context.repo.repo,
-              body: '@claude review this issue with multiple parallel running agents and do a detailed analysis and fix this if the existing code doesn\'t have the solution implemented. Making sure it has backward compatibility, no existing features removed. After making those changes, again use multi agents to review the applied changes'
+              body: '@claude review this issue and do a detailed analysis and fix this if the existing code doesn\'t have the solution implemented. Making sure it has backward compatibility, no existing features removed. After making those changes, again use multi agents to review the applied changes. Use @web to search if you dont know any information or to find the latest documentation or to find the latest version. Run the code if you think you need to run it to test it. Minimal code change to start with if required any changes.'
             }) 

.github/workflows/auto-pr-comment.yml

@@ -13,10 +13,11 @@ jobs:
       - name: Add automated comment
         uses: actions/github-script@v7
         with:
+          github-token: ${{ secrets.GH_TOKEN }}
           script: |
             github.rest.issues.createComment({
               issue_number: context.issue.number,
               owner: context.repo.owner,
               repo: context.repo.repo,
-              body: '@claude review this pull request with multiple parallel running agents and do a detailed analysis and fix this if the existing code doesn\'t have the solution implemented. Making sure it has backward compatibility, no existing features removed. After making those changes, again use multi agents to review the applied changes'
+              body: '@claude review this pull request and do a detailed analysis and fix this if the existing code doesn\'t have the solution implemented. Making sure it has backward compatibility, no existing features removed. After making those changes, again use multi agents to review the applied changes. Use @web to search if you dont know any information or to find the latest documentation or to find the latest version. Run the code if you think you need to run it to test it. Minimal code change to start with if required any changes.'
             }) 

.github/workflows/test-core.yml

@@ -151,7 +151,7 @@ jobs:
             return 'INVALID_TYPE'
 
         print('🔧 Direct PraisonAI API Key Check:')
-        env_api_key = os.environ.get(\\"OPENAI_API_KEY\\", \\"NOT_SET\\")
+        env_api_key = os.environ.get(\"OPENAI_API_KEY\", \"NOT_SET\")
         print(f'Environment OPENAI_API_KEY: {get_key_display_value(env_api_key)}...')
         
         from praisonai import PraisonAI
@@ -163,7 +163,7 @@ jobs:
         
         from praisonai.inc.models import PraisonAIModel
         
-        print('\\\\n🧪 Testing PraisonAIModel with explicit API key (CrewAI method):')
+        print('\\n🧪 Testing PraisonAIModel with explicit API key (CrewAI method):')
         model_with_explicit_key = PraisonAIModel(
             model='openai/gpt-4o-mini',
             base_url=praisonai.config_list[0].get('base_url'),

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>=2.2.48" \
+    "praisonai>=2.2.49" \
     "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>=2.2.48" \
+    "praisonai>=2.2.49" \
     "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>=2.2.48" \
+    "praisonai>=2.2.49" \
     "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>=2.2.48" \
+    "praisonai>=2.2.49" \
     "praisonai[ui]" \
     "praisonai[crewai]"
 

docker/README.md

@@ -121,7 +121,7 @@ healthcheck:
 ## 📦 Package Versions
 
 All Docker images use consistent, up-to-date versions:
-- PraisonAI: `>=2.2.48`
+- PraisonAI: `>=2.2.49`
 - 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==2.2.48" "praisonaiagents==0.0.92"
+RUN pip install "praisonai==2.2.49" "praisonaiagents==0.0.92"
 ```
 
 ## 🌐 Production Deployment

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

@@ -296,6 +296,10 @@ IMPORTANT: Each task MUST be an object with name, description, expected_output,
         last_error = None
         
         for attempt in range(max_retries):
+            # Initialize variables for this attempt
+            use_openai_structured = False
+            client = None
+            
             # Prepare prompt for this attempt
             if attempt > 0 and last_response and last_error:
                 # On retry, include the previous response and error
@@ -322,23 +326,16 @@ DO NOT use strings for tasks. Each task MUST be a complete object with all four
                 prompt = base_prompt
             
             try:
-                # Try to use OpenAI's structured output if available
-                use_openai_structured = False
-                client = None
-                
-                try:
-                    # Check if we have OpenAI API and the model supports structured output
-                    if self.llm and (self.llm.startswith('gpt-') or self.llm.startswith('o1-') or self.llm.startswith('o3-')):
-                        # Create a new client instance if custom parameters are provided
-                        if self.api_key or self.base_url:
-                            client = OpenAIClient(api_key=self.api_key, base_url=self.base_url)
-                        else:
-                            client = get_openai_client()
-                        use_openai_structured = True
-                except:
-                    # If OpenAI client is not available, we'll use the LLM class
-                    pass
-                
+                # Check if we have OpenAI API and the model supports structured output
+                from ..llm import supports_structured_outputs
+                if self.llm and supports_structured_outputs(self.llm):
+                    client = get_openai_client()
+                    use_openai_structured = True
+            except:
+                # If OpenAI client is not available, we'll use the LLM class
+                pass
+            
+            try:
                 if use_openai_structured and client:
                     # Use OpenAI's structured output for OpenAI models (backward compatibility)
                     config = client.parse_structured_output(
@@ -359,7 +356,7 @@ DO NOT use strings for tasks. Each task MUST be a complete object with all four
                         api_key=self.api_key
                     )
                     
-                    response_text = llm_instance.response(
+                    response_text = llm_instance.get_response(
                         prompt=prompt,
                         system_prompt="You are a helpful assistant designed to generate AI agent configurations.",
                         output_pydantic=AutoAgentsConfig,

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

@@ -32,6 +32,10 @@ from .openai_client import (
     ToolCall,
     process_stream_chunks
 )
+from .model_capabilities import (
+    supports_structured_outputs,
+    supports_streaming_with_tools
+)
 
 # Ensure telemetry is disabled after import as well
 try:
@@ -52,5 +56,7 @@ __all__ = [
     "CompletionUsage",
     "ChatCompletion",
     "ToolCall",
-    "process_stream_chunks"
+    "process_stream_chunks",
+    "supports_structured_outputs",
+    "supports_streaming_with_tools"
 ]

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

@@ -386,8 +386,11 @@ class LLM:
         if self._is_ollama_provider():
             return False
         
-        # OpenAI models support streaming with tools
-        if any(self.model.startswith(prefix) for prefix in ["gpt-", "o1-", "o3-"]):
+        # Import the capability check function
+        from .model_capabilities import supports_streaming_with_tools
+        
+        # Check if this model supports streaming with tools
+        if supports_streaming_with_tools(self.model):
             return True
         
         # Anthropic Claude models support streaming with tools

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

@@ -0,0 +1,90 @@
+"""
+Model capabilities configuration for different LLM providers.
+This module defines which models support specific features like structured outputs.
+"""
+
+# Models that support OpenAI-style structured outputs (response_format with Pydantic models)
+MODELS_SUPPORTING_STRUCTURED_OUTPUTS = {
+    # OpenAI models
+    "gpt-4o",
+    "gpt-4o-mini",
+    "gpt-4-turbo",
+    "gpt-4-turbo-preview",
+    "gpt-4-turbo-2024-04-09",
+    "gpt-4-1106-preview",
+    "gpt-4-0125-preview",
+    "gpt-3.5-turbo",
+    "gpt-3.5-turbo-1106",
+    "gpt-3.5-turbo-0125",
+    
+    # New/Future OpenAI models (as mentioned by user)
+    "codex-mini",
+    "o3-pro",
+    "gpt-4.5-preview",
+    "o3-mini",
+    "o1",
+    "o1-preview",
+    "o1-mini",
+    "gpt-4.1",
+    "gpt-4.1-nano",
+    "gpt-4.1-mini",
+    "o4-mini",
+    "o3",
+}
+
+# Models that explicitly DON'T support structured outputs
+MODELS_NOT_SUPPORTING_STRUCTURED_OUTPUTS = {
+    # Audio preview models
+    "gpt-4o-audio-preview",
+    "gpt-4o-mini-audio-preview",
+    
+    # Legacy o1 models (don't support system messages either)
+    "o1-preview-2024-09-12",
+    "o1-mini-2024-09-12",
+}
+
+
+def supports_structured_outputs(model_name: str) -> bool:
+    """
+    Check if a model supports OpenAI-style structured outputs.
+    
+    Args:
+        model_name: The name of the model to check
+        
+    Returns:
+        bool: True if the model supports structured outputs, False otherwise
+    """
+    if not model_name:
+        return False
+    
+    # First check if it's explicitly in the NOT supporting list
+    if model_name in MODELS_NOT_SUPPORTING_STRUCTURED_OUTPUTS:
+        return False
+    
+    # Then check if it's in the supporting list
+    if model_name in MODELS_SUPPORTING_STRUCTURED_OUTPUTS:
+        return True
+    
+    # For models with version suffixes, check the base model name
+    base_model = model_name.split('-2024-')[0].split('-2025-')[0]
+    if base_model in MODELS_SUPPORTING_STRUCTURED_OUTPUTS:
+        return True
+    
+    # Default to False for unknown models
+    return False
+
+
+def supports_streaming_with_tools(model_name: str) -> bool:
+    """
+    Check if a model supports streaming when tools are provided.
+    Most models that support structured outputs also support streaming with tools.
+    
+    Args:
+        model_name: The name of the model to check
+        
+    Returns:
+        bool: True if the model supports streaming with tools, False otherwise
+    """
+    # For now, use the same logic as structured outputs
+    # In the future, this could be a separate list if needed
+    return supports_structured_outputs(model_name)

src/praisonai-agents/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "praisonaiagents"
-version = "0.0.122"
+version = "0.0.123"
 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 = "0.0.122"
+version = "0.0.123"
 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/v2.2.48.tar.gz"
-    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.48.tar.gz | shasum -a 256`.split.first
+    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.49.tar.gz"
+    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.49.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==2.2.48 gunicorn markdown\n")
+            file.write("RUN pip install flask praisonai==2.2.49 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 = "2.2.48"
+version = "2.2.49"
 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>=0.0.122",
+    "praisonaiagents>=0.0.123",
     "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 = "2.2.48"
+version = "2.2.49"
 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 = ">=0.0.122"
+praisonaiagents = ">=0.0.123"
 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 = "2.2.48"
+version = "2.2.49"
 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 = ">=0.0.122" },
+    { name = "praisonaiagents", specifier = ">=0.0.123" },
     { 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 = "0.0.122"
+version = "0.0.123"
 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/03/4c/ca1cfce5be6faff1e1ddbe1370ecc9292a92da8d4f7cc8938d4f019449e5/praisonaiagents-0.0.122.tar.gz", hash = "sha256:82c711000c4cf4ca4b8126a7412b4cfe894fbae4944b969fdfb0ec22f2239ba1", size = 173864 }
+sdist = { url = "https://files.pythonhosted.org/packages/dc/d0/1d9b8a60284b206184dc0d877cc1df8d800f79d89f82c5ff88dc60202d4b/praisonaiagents-0.0.123.tar.gz", hash = "sha256:9dd2496d86de0311135f0d075a313c66979ada8104d87fdb36701b4623c47e1b", size = 174756 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/4c/c4/5a5a7df835abba25ac047f0eef4b50d5534407f6a45478c5837959d3662e/praisonaiagents-0.0.122-py3-none-any.whl", hash = "sha256:a7da819f49f23fffc15c3cdc1dbbb2f2560d16775f741f8118adb5d7fd45767b", size = 194479 },
+    { url = "https://files.pythonhosted.org/packages/ce/a2/a3620d28a342077d3e0a16f09bbdca37f0183279e8bd0db0e08ee6fdbb87/praisonaiagents-0.0.123-py3-none-any.whl", hash = "sha256:f2b79ce3944d1f1f683e5e64c20c022fc5951f67917f9797a51bf2c0f8162401", size = 195581 },
 ]
 
 [[package]]