feat: upgrade praisonaiagents to 0.0.144 and add MongoDB support

Author: MervinPraison

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>=2.2.70" \
+    "praisonai>=2.2.71" \
     "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>=2.2.70" \
+    "praisonai>=2.2.71" \
     "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>=2.2.70" \
+    "praisonai>=2.2.71" \
     "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>=2.2.70" \
+    "praisonai>=2.2.71" \
     "praisonai[ui]" \
     "praisonai[crewai]"
 

docker/README.md

@@ -121,7 +121,7 @@ healthcheck:
 ## 📦 Package Versions
 
 All Docker images use consistent, up-to-date versions:
-- PraisonAI: `>=2.2.70`
+- PraisonAI: `>=2.2.71`
 - 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==2.2.70" "praisonaiagents==0.0.92"
+RUN pip install "praisonai==2.2.71" "praisonaiagents==0.0.92"
 ```
 
 ## 🌐 Production Deployment

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

@@ -1383,23 +1383,6 @@ def chat(self, prompt, temperature=0.2, tools=None, output_json=None, output_pyd
                                 # Rollback chat history on guardrail failure
                                 self.chat_history = self.chat_history[:chat_history_length]
                                 return None
-                                # Only consider satisfactory after minimum reflections
-                            if reflection_output.satisfactory == "yes" and reflection_count >= self.min_reflect - 1:
-                                if self.verbose:
-                                    display_self_reflection("Agent marked the response as satisfactory after meeting minimum reflections", console=self.console)
-                                # User message already added before LLM call via _build_messages
-                                self.chat_history.append({"role": "assistant", "content": response_text})
-                                # Apply guardrail validation after satisfactory reflection
-                                try:
-                                    validated_response = self._apply_guardrail_with_retry(response_text, original_prompt, temperature, tools, task_name, task_description, task_id)
-                                    # Execute callback after validation
-                                    self._execute_callback_and_display(original_prompt, validated_response, time.time() - start_time, task_name, task_description, task_id)
-                                    return validated_response
-                                except Exception as e:
-                                    logging.error(f"Agent {self.name}: Guardrail validation failed after reflection: {e}")
-                                    # Rollback chat history on guardrail failure
-                                    self.chat_history = self.chat_history[:chat_history_length]
-                                    return None
 
                         if not self.self_reflect:
                             # User message already added before LLM call via _build_messages

src/praisonai-agents/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "praisonaiagents"
-version = "0.0.142"
+version = "0.0.144"
 description = "Praison AI agents for completing complex tasks with Self Reflection Agents"
 requires-python = ">=3.10"
 authors = [

src/praisonai-agents/uv.lock

@@ -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/v2.2.70.tar.gz"
-    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.70.tar.gz | shasum -a 256`.split.first
+    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.71.tar.gz"
+    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.71.tar.gz | shasum -a 256`.split.first
     license "MIT"
 
     depends_on "python@3.11"

src/praisonai/praisonai.rb

@@ -57,7 +57,7 @@ def create_dockerfile(self):
             file.write("FROM python:3.11-slim\n")
             file.write("WORKDIR /app\n")
             file.write("COPY . .\n")
-            file.write("RUN pip install flask praisonai==2.2.70 gunicorn markdown\n")
+            file.write("RUN pip install flask praisonai==2.2.71 gunicorn markdown\n")
             file.write("EXPOSE 8080\n")
             file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n')