chore: bump praisonai to v2.2.67 and praisonaiagents to v0.0.138 across all files

fix: resolve task_name undefined error in LLM callback execution

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>=2.2.66" \
+    "praisonai>=2.2.67" \
     "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>=2.2.66" \
+    "praisonai>=2.2.67" \
     "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>=2.2.66" \
+    "praisonai>=2.2.67" \
     "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>=2.2.66" \
+    "praisonai>=2.2.67" \
     "praisonai[ui]" \
     "praisonai[crewai]"
 

docker/README.md

@@ -121,7 +121,7 @@ healthcheck:
 ## 📦 Package Versions
 
 All Docker images use consistent, up-to-date versions:
-- PraisonAI: `>=2.2.66`
+- PraisonAI: `>=2.2.67`
 - 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==2.2.66" "praisonaiagents==0.0.92"
+RUN pip install "praisonai==2.2.67" "praisonaiagents==0.0.92"
 ```
 
 ## 🌐 Production Deployment

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

@@ -894,7 +894,13 @@ class LLM:
                                 message=original_prompt,
                                 response=response_content,
                                 markdown=markdown,
-                                generation_time=generation_time_val
+                                generation_time=generation_time_val,
+                                agent_name=agent_name,
+                                agent_role=agent_role,
+                                agent_tools=agent_tools,
+                                task_name=task_name,
+                                task_description=task_description,
+                                task_id=task_id
                             )
                             callback_executed = True
                     
@@ -963,7 +969,13 @@ class LLM:
                                     message=original_prompt,
                                     response=response_text,
                                     markdown=markdown,
-                                    generation_time=time.time() - current_time
+                                    generation_time=time.time() - current_time,
+                                    agent_name=agent_name,
+                                    agent_role=agent_role,
+                                    agent_tools=agent_tools,
+                                    task_name=task_name,
+                                    task_description=task_description,
+                                    task_id=task_id
                                 )
                                 callback_executed = True
 
@@ -1017,7 +1029,13 @@ class LLM:
                                     message=original_prompt,
                                     response=response_text,
                                     markdown=markdown,
-                                    generation_time=time.time() - current_time
+                                    generation_time=time.time() - current_time,
+                                    agent_name=agent_name,
+                                    agent_role=agent_role,
+                                    agent_tools=agent_tools,
+                                    task_name=task_name,
+                                    task_description=task_description,
+                                    task_id=task_id
                                 )
                                 callback_executed = True
                     
@@ -1175,7 +1193,13 @@ class LLM:
                     message=original_prompt,
                     response=response_content,
                     markdown=markdown,
-                    generation_time=generation_time_val
+                    generation_time=generation_time_val,
+                    agent_name=agent_name,
+                    agent_role=agent_role,
+                    agent_tools=agent_tools,
+                    task_name=task_name,
+                    task_description=task_description,
+                    task_id=task_id
                 )
                 callback_executed = True
             
@@ -1204,7 +1228,13 @@ class LLM:
                         message=original_prompt,
                         response=response_text,
                         markdown=markdown,
-                        generation_time=time.time() - start_time
+                        generation_time=time.time() - start_time,
+                        agent_name=agent_name,
+                        agent_role=agent_role,
+                        agent_tools=agent_tools,
+                        task_name=task_name,
+                        task_description=task_description,
+                        task_id=task_id
                     )
                     callback_executed = True
                 return response_text
@@ -1224,7 +1254,13 @@ class LLM:
                         message=original_prompt,
                         response=response_text,
                         markdown=markdown,
-                        generation_time=time.time() - start_time
+                        generation_time=time.time() - start_time,
+                        agent_name=agent_name,
+                        agent_role=agent_role,
+                        agent_tools=agent_tools,
+                        task_name=task_name,
+                        task_description=task_description,
+                        task_id=task_id
                     )
                     callback_executed = True
                 

src/praisonai-agents/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "praisonaiagents"
-version = "0.0.137"
+version = "0.0.138"
 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 = "0.0.137"
+version = "0.0.138"
 source = { editable = "." }
 dependencies = [
     { name = "aiohttp" },

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/v2.2.66.tar.gz"
-    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.66.tar.gz | shasum -a 256`.split.first
+    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.67.tar.gz"
+    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.67.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==2.2.66 gunicorn markdown\n")
+            file.write("RUN pip install flask praisonai==2.2.67 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 = "2.2.66"
+version = "2.2.67"
 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>=0.0.137",
+    "praisonaiagents>=0.0.138",
     "python-dotenv>=0.19.0",
     "instructor>=1.3.3",
     "PyYAML>=6.0",
@@ -102,7 +102,7 @@ autogen-v4 = [
 
 [tool.poetry]
 name = "PraisonAI"
-version = "2.2.66"
+version = "2.2.67"
 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 = ""
@@ -120,7 +120,7 @@ python = ">=3.10,<3.13"
 rich = ">=13.7"
 markdown = ">=3.5"
 pyparsing = ">=3.0.0"
-praisonaiagents = ">=0.0.137"
+praisonaiagents = ">=0.0.138"
 python-dotenv = ">=0.19.0"
 instructor = ">=1.3.3"
 PyYAML = ">=6.0"

src/praisonai/uv.lock

@@ -4048,7 +4048,7 @@ wheels = [
 
 [[package]]
 name = "praisonai"
-version = "2.2.66"
+version = "2.2.67"
 source = { editable = "." }
 dependencies = [
     { name = "instructor" },
@@ -4202,7 +4202,7 @@ requires-dist = [
     { name = "praisonai-tools", marker = "extra == 'autogen'", specifier = ">=0.0.22" },
     { name = "praisonai-tools", marker = "extra == 'autogen-v4'", specifier = ">=0.0.22" },
     { name = "praisonai-tools", marker = "extra == 'crewai'", specifier = ">=0.0.22" },
-    { name = "praisonaiagents", specifier = ">=0.0.137" },
+    { name = "praisonaiagents", specifier = ">=0.0.138" },
     { name = "pyautogen", marker = "extra == 'autogen'", specifier = "==0.2.29" },
     { name = "pydantic", marker = "extra == 'chat'", specifier = "<=2.10.1" },
     { name = "pydantic", marker = "extra == 'code'", specifier = "<=2.10.1" },
@@ -4257,7 +4257,7 @@ wheels = [
 
 [[package]]
 name = "praisonaiagents"
-version = "0.0.137"
+version = "0.0.138"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohttp" },
@@ -4266,9 +4266,9 @@ dependencies = [
     { name = "pydantic" },
     { name = "rich" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/f7/4c/fde4914f2b3285ff2333ffd2e1ea3c5802702f1402036408fe8a4bcfccc0/praisonaiagents-0.0.137.tar.gz", hash = "sha256:79fea894f5737050fcc7b4ad093d0f8e5fc4f7746fee7d6b87d16602cb27ddf5", size = 203856, upload-time = "2025-07-16T13:09:39.537Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/04/35/a7bd6bbfb2c6d86026b3fccf72870e7703331894da0587e4dd4d4e45e3d6/praisonaiagents-0.0.138.tar.gz", hash = "sha256:dc3bf46a90021c82f57eb37383dbc37074d6d0131ac5afa2346cea82d72b17f0", size = 203847, upload-time = "2025-07-16T13:15:48.743Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/e7/b8/2464e7e0a9b2fc53cd76c64df779cf16c152c44866567b3263d0d5201eef/praisonaiagents-0.0.137-py3-none-any.whl", hash = "sha256:05552424f4972316e1e76a758eadf041c342e9c1cbb008422d373352cf5f35dc", size = 222976, upload-time = "2025-07-16T13:09:38.043Z" },
+    { url = "https://files.pythonhosted.org/packages/84/c7/cf554026d010879d54ba1c1b36c444442165b1e193751c6e2423a665de9d/praisonaiagents-0.0.138-py3-none-any.whl", hash = "sha256:e9da34550b9e432bc866595edee0e4202b920c85ed5f153973b48507a8a2e1be", size = 223071, upload-time = "2025-07-16T13:15:47.44Z" },
 ]
 
 [[package]]

test_fix_verification.py

@@ -0,0 +1,72 @@
+#!/usr/bin/env python3
+"""Test the issue fix with a simple callback that expects task_name."""
+
+import asyncio
+from praisonaiagents import Agent, Task, PraisonAIAgents
+
+# Simple callback that expects task_name - this would trigger the error before the fix
+def test_callback(**kwargs):
+    print(f"Callback called with task_name: {kwargs.get('task_name', 'NOT PROVIDED')}")
+    # This would cause the "name 'task_name' is not defined" error before the fix
+    # because the callback functions would try to access task_name but it wasn't passed
+
+# Register the callback
+from praisonaiagents.main import register_display_callback
+register_display_callback('interaction', test_callback)
+
+# Example tool
+def simple_tool():
+    return "Simple tool result"
+
+# Simple agent setup
+test_agent = Agent(
+    name="TestAgent",
+    role="Test Agent",
+    goal="Test the fix",
+    tools=[simple_tool],
+    llm="gpt-4o-mini",  # Using OpenAI for testing
+    verbose=False  # This is key - verbose=False triggers the bug
+)
+
+# Simple task
+test_task = Task(
+    name="test_task",
+    description="Test task for the fix",
+    expected_output="Test output",
+    agent=test_agent
+)
+
+async def main():
+    print("Testing the fix...")
+    
+    # This should work without the "name 'task_name' is not defined" error
+    workflow = PraisonAIAgents(
+        agents=[test_agent],
+        tasks=[test_task],
+        process="sequential",
+        verbose=False  # This should not cause the error anymore
+    )
+    
+    try:
+        await workflow.astart()
+        print("✅ Test passed! No 'task_name' error occurred.")
+        return True
+    except NameError as e:
+        if "task_name" in str(e):
+            print(f"❌ Test failed! Still getting task_name error: {e}")
+            return False
+        else:
+            print(f"❌ Test failed with different error: {e}")
+            return False
+    except Exception as e:
+        print(f"⚠️ Test failed with other error (expected without API key): {e}")
+        # This is expected without API key, but we shouldn't get task_name error
+        if "task_name" in str(e):
+            print("❌ But the task_name error is still present!")
+            return False
+        else:
+            print("✅ No task_name error found, fix appears to work!")
+            return True
+
+if __name__ == "__main__":
+    asyncio.run(main())

test_issue_947.py

@@ -0,0 +1,107 @@
+# agentic_parallelization_varied_tasks.py
+
+import asyncio
+from praisonaiagents import Agent, Task, PraisonAIAgents
+
+# Example tools (replace with real implementations as needed)
+def fetch_favorite_article():
+    # Simulate fetching your favorite morning article
+    return "Your favorite morning article: 'How to Start Your Day Right'"
+
+def search_trending_kenya():
+    # Simulate searching for trending news in Kenya
+    return "Trending in Kenya: 'Kenya launches new tech hub in Nairobi'"
+
+def fetch_twitter_feed():
+    # Simulate fetching Twitter feed
+    return "Latest tweet: 'AI is transforming the world!'"
+
+# Agents for each unique task
+article_agent = Agent(
+    name="ArticleAgent",
+    role="Morning Article Fetcher",
+    goal="Fetch the user's favorite morning article",
+    tools=[fetch_favorite_article],
+    llm="gemini/gemini-2.5-flash-lite-preview-06-17",
+    verbose=True
+)
+
+news_agent = Agent(
+    name="KenyaNewsAgent",
+    role="Kenya News Searcher",
+    goal="Search for trending news in Kenya",
+    tools=[search_trending_kenya],
+    llm="gemini/gemini-2.5-flash-lite-preview-06-17",
+    verbose=True
+)
+
+twitter_agent = Agent(
+    name="TwitterAgent",
+    role="Twitter Feed Fetcher",
+    goal="Fetch the latest Twitter feed",
+    tools=[fetch_twitter_feed],
+    llm="gemini/gemini-2.5-flash-lite-preview-06-17",
+    verbose=True
+)
+
+aggregator = Agent(
+    name="Aggregator",
+    role="Result Aggregator",
+    goal="Aggregate and summarize all results",
+    llm="gemini/gemini-2.5-flash-lite-preview-06-17",
+    verbose=True
+)
+
+# Tasks for each agent
+article_task = Task(
+    name="fetch_article",
+    description="Fetch the user's favorite morning article.",
+    expected_output="The favorite morning article.",
+    agent=article_agent,
+    is_start=True,
+    async_execution=True
+)
+
+news_task = Task(
+    name="search_kenya_news",
+    description="Search for trending news in Kenya.",
+    expected_output="Trending news in Kenya.",
+    agent=news_agent,
+    is_start=True,
+    async_execution=True
+)
+
+twitter_task = Task(
+    name="fetch_twitter",
+    description="Fetch the latest Twitter feed.",
+    expected_output="Latest Twitter feed.",
+    agent=twitter_agent,
+    is_start=True,
+    async_execution=True
+)
+
+# Aggregator task that depends on the above tasks
+aggregate_task = Task(
+    name="aggregate_results",
+    description="Summarize the article, news, and Twitter feed results.",
+    expected_output="A summary of all fetched information.",
+    agent=aggregator,
+    context=[article_task, news_task, twitter_task]
+)
+
+async def main():
+    workflow = PraisonAIAgents(
+        agents=[article_agent, news_agent, twitter_agent, aggregator],
+        tasks=[article_task, news_task, twitter_task, aggregate_task],
+        process="workflow",
+        verbose=True
+    )
+    results = await workflow.astart()
+
+    print("\nParallel Processing Results:")
+    for task_id, result in results["task_results"].items():
+        if result:
+            print(f"Task {task_id}: {result.raw}")
+
+if __name__ == "__main__":
+    asyncio.run(main())

test_simple_fix.py

@@ -0,0 +1,56 @@
+#!/usr/bin/env python3
+"""Simple test for the task_name fix."""
+
+import sys
+from praisonaiagents.main import execute_sync_callback
+
+# Test that execute_sync_callback can handle missing task_name gracefully
+def test_callback(message, response, **kwargs):
+    task_name = kwargs.get('task_name', 'NOT PROVIDED')
+    print(f"Callback received task_name: {task_name}")
+    return True
+
+# Register the callback
+from praisonaiagents.main import register_display_callback
+register_display_callback('interaction', test_callback)
+
+def main():
+    print("Testing execute_sync_callback with missing task_name...")
+    
+    # Test the old way (without task_name) - this should work now
+    try:
+        execute_sync_callback(
+            'interaction',
+            message="test message",
+            response="test response",
+            markdown=True,
+            generation_time=1.0
+        )
+        print("✅ Old-style callback works (task_name defaults to None)")
+    except Exception as e:
+        print(f"❌ Old-style callback failed: {e}")
+        return False
+    
+    # Test the new way (with task_name) - this should also work
+    try:
+        execute_sync_callback(
+            'interaction',
+            message="test message",
+            response="test response",
+            markdown=True,
+            generation_time=1.0,
+            task_name="test_task",
+            task_description="test description",
+            task_id="test_id"
+        )
+        print("✅ New-style callback works (task_name provided)")
+    except Exception as e:
+        print(f"❌ New-style callback failed: {e}")
+        return False
+    
+    print("✅ All tests passed! The fix is working correctly.")
+    return True
+
+if __name__ == "__main__":
+    success = main()
+    sys.exit(0 if success else 1)