fix: reset interaction_displayed flag to ensure final summary is shown in LLM responses

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>=2.2.77" \
+    "praisonai>=2.2.78" \
     "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>=2.2.77" \
+    "praisonai>=2.2.78" \
     "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>=2.2.77" \
+    "praisonai>=2.2.78" \
     "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>=2.2.77" \
+    "praisonai>=2.2.78" \
     "praisonai[ui]" \
     "praisonai[crewai]"
 

docker/README.md

@@ -121,7 +121,7 @@ healthcheck:
 ## 📦 Package Versions
 
 All Docker images use consistent, up-to-date versions:
-- PraisonAI: `>=2.2.77`
+- PraisonAI: `>=2.2.78`
 - 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==2.2.77" "praisonaiagents==0.0.92"
+RUN pip install "praisonai==2.2.78" "praisonaiagents==0.0.92"
 ```
 
 ## 🌐 Production Deployment

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

@@ -1456,6 +1456,8 @@ class LLM:
                         )
                         if should_break:
                             final_response_text = tool_summary_text
+                            # Reset interaction_displayed to ensure final summary is shown
+                            interaction_displayed = False
                             break
                         elif tool_summary_text is None and iteration_count > self.OLLAMA_SUMMARY_ITERATION_THRESHOLD:
                             # Continue iteration after adding final answer prompt
@@ -1485,6 +1487,8 @@ class LLM:
                             tool_summary = self._generate_ollama_tool_summary(accumulated_tool_results, response_text)
                             if tool_summary:
                                 final_response_text = tool_summary
+                                # Reset interaction_displayed to ensure final summary is shown
+                                interaction_displayed = False
                                 break
                         
                         # If we've executed tools in previous iterations, this response contains the final answer
@@ -2567,6 +2571,8 @@ Output MUST be JSON with 'reflection' and 'satisfactory'.
                     )
                     if should_break:
                         final_response_text = tool_summary_text
+                        # Reset interaction_displayed to ensure final summary is shown
+                        interaction_displayed = False
                         break
                     elif tool_summary_text is None and iteration_count > self.OLLAMA_SUMMARY_ITERATION_THRESHOLD:
                         # Continue iteration after adding final answer prompt
@@ -2594,6 +2600,8 @@ Output MUST be JSON with 'reflection' and 'satisfactory'.
                         tool_summary = self._generate_ollama_tool_summary(accumulated_tool_results, response_text)
                         if tool_summary:
                             final_response_text = tool_summary
+                            # Reset interaction_displayed to ensure final summary is shown
+                            interaction_displayed = False
                             break
                     
                     # If we've executed tools in previous iterations, this response contains the final answer

src/praisonai-agents/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "praisonaiagents"
-version = "0.0.151"
+version = "0.0.152"
 description = "Praison AI agents for completing complex tasks with Self Reflection Agents"
 requires-python = ">=3.10"
 authors = [

src/praisonai-agents/uv.lock

@@ -2422,7 +2422,7 @@ wheels = [
 
 [[package]]
 name = "praisonaiagents"
-version = "0.0.151"
+version = "0.0.152"
 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/v2.2.77.tar.gz"
-    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.77.tar.gz | shasum -a 256`.split.first
+    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.78.tar.gz"
+    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.78.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==2.2.77 gunicorn markdown\n")
+            file.write("RUN pip install flask praisonai==2.2.78 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 = "2.2.77"
+version = "2.2.78"
 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>=0.0.151",
+    "praisonaiagents>=0.0.152",
     "python-dotenv>=0.19.0",
     "instructor>=1.3.3",
     "PyYAML>=6.0",
@@ -102,7 +102,7 @@ autogen-v4 = [
 
 [tool.poetry]
 name = "PraisonAI"
-version = "2.2.77"
+version = "2.2.78"
 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 = ">=0.0.151"
+praisonaiagents = ">=0.0.152"
 python-dotenv = ">=0.19.0"
 instructor = ">=1.3.3"
 PyYAML = ">=6.0"

src/praisonai/uv.lock

@@ -4031,7 +4031,7 @@ wheels = [
 
 [[package]]
 name = "praisonai"
-version = "2.2.77"
+version = "2.2.78"
 source = { editable = "." }
 dependencies = [
     { name = "instructor" },
@@ -4185,7 +4185,7 @@ 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 = ">=0.0.151" },
+    { name = "praisonaiagents", specifier = ">=0.0.152" },
     { 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" },
@@ -4240,7 +4240,7 @@ wheels = [
 
 [[package]]
 name = "praisonaiagents"
-version = "0.0.151"
+version = "0.0.152"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohttp" },
@@ -4249,9 +4249,9 @@ dependencies = [
     { name = "pydantic" },
     { name = "rich" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/f9/79/a0ba9dad14ea401cb2e7f7d38d2ffbbc29b5c0ed7a31b592733886256df2/praisonaiagents-0.0.151.tar.gz", hash = "sha256:f34e211b1b4554f6d74ce5f7c7eb54ea6488b71d2f3a8d9f9f76aac21d290a15", size = 272547, upload-time = "2025-07-25T11:04:32.747Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/91/cf/22a86b5d45f926914b14b8fe23d377c3a1c5809d653f51ced87de0faf8ad/praisonaiagents-0.0.152.tar.gz", hash = "sha256:52f8bb281187c047ffbdb6d8f8282c8e26b53bd89fd47ea7b507470c9e152827", size = 272639, upload-time = "2025-07-25T17:08:34.332Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/1d/7d/35c4846768aadaa3278583962a9951076b4b1ae615769715a329df752702/praisonaiagents-0.0.151-py3-none-any.whl", hash = "sha256:ad88eb8a93153a4a329b431547bd101456dfa2aa559b8daf4aee98dcc79616c8", size = 290849, upload-time = "2025-07-25T11:04:31.21Z" },
+    { url = "https://files.pythonhosted.org/packages/9e/b4/98c5fa37505909f21157f903de4fa875d728c677e0a6d5bc3713b02b629c/praisonaiagents-0.0.152-py3-none-any.whl", hash = "sha256:3bc31970ee5557739860f45d12c7c3755be625cb1041bbe71ed30dd16540bc6f", size = 290935, upload-time = "2025-07-25T17:08:32.427Z" },
 ]
 
 [[package]]