Enhance Agent Tool Execution Logging and Debugging

docker/Dockerfile

@@ -1,6 +1,6 @@
 FROM python:3.11-slim
 WORKDIR /app
 COPY . .
-RUN pip install flask praisonai==2.0.77 gunicorn markdown
+RUN pip install flask praisonai==2.0.78 gunicorn markdown
 EXPOSE 8080
 CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]

docs/api/praisonai/deploy.html

@@ -110,7 +110,7 @@ <h2 id="raises">Raises</h2>
             file.write(&#34;FROM python:3.11-slim\n&#34;)
             file.write(&#34;WORKDIR /app\n&#34;)
             file.write(&#34;COPY . .\n&#34;)
-            file.write(&#34;RUN pip install flask praisonai==2.0.77 gunicorn markdown\n&#34;)
+            file.write(&#34;RUN pip install flask praisonai==2.0.78 gunicorn markdown\n&#34;)
             file.write(&#34;EXPOSE 8080\n&#34;)
             file.write(&#39;CMD [&#34;gunicorn&#34;, &#34;-b&#34;, &#34;0.0.0.0:8080&#34;, &#34;api:app&#34;]\n&#39;)
 

praisonai.rb

@@ -3,7 +3,7 @@ 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/2.0.77.tar.gz"
+    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/2.0.78.tar.gz"
     sha256 "1828fb9227d10f991522c3f24f061943a254b667196b40b1a3e4a54a8d30ce32"  # Replace with actual SHA256 checksum
     license "MIT"
 

praisonai/deploy.py

@@ -56,7 +56,7 @@ 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==2.0.77 gunicorn markdown\n")
+            file.write("RUN pip install flask praisonai==2.0.78 gunicorn markdown\n")
             file.write("EXPOSE 8080\n")
             file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n')
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "PraisonAI"
-version = "2.0.77"
+version = "2.0.78"
 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>=0.0.62",
+    "praisonaiagents>=0.0.63",
     "python-dotenv>=0.19.0",
     "instructor>=1.3.3",
     "PyYAML>=6.0",
@@ -84,7 +84,7 @@ autogen = ["pyautogen>=0.2.19", "praisonai-tools>=0.0.7", "crewai"]
 
 [tool.poetry]
 name = "PraisonAI"
-version = "2.0.77"
+version = "2.0.78"
 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 = ""
@@ -102,7 +102,7 @@ python = ">=3.10,<3.13"
 rich = ">=13.7"
 markdown = ">=3.5"
 pyparsing = ">=3.0.0"
-praisonaiagents = ">=0.0.62"
+praisonaiagents = ">=0.0.63"
 python-dotenv = ">=0.19.0"
 instructor = ">=1.3.3"
 PyYAML = ">=6.0"

src/praisonai-agents/llm-anthropic.py

@@ -0,0 +1,10 @@
+from praisonaiagents import Agent
+from praisonaiagents.tools import internet_search
+
+agent = Agent(
+    instructions="You are a Wikipedia Agent", 
+    tools=[internet_search],
+    llm="anthropic/claude-3-7-sonnet-20250219",
+    verbose=10
+)
+agent.start("history of AI in 1 line")

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

@@ -438,20 +438,29 @@ def get_response(
                             function_name = tool_call["function"]["name"]
                             arguments = json.loads(tool_call["function"]["arguments"])
 
-                            if verbose:
-                                display_tool_call(f"Agent {agent_name} is calling function '{function_name}' with arguments: {arguments}", console=console)
-
+                            logging.debug(f"[TOOL_EXEC_DEBUG] About to execute tool {function_name} with args: {arguments}")
                             tool_result = execute_tool_fn(function_name, arguments)
+                            logging.debug(f"[TOOL_EXEC_DEBUG] Tool execution result: {tool_result}")
 
-                            if tool_result:
-                                if verbose:
-                                    display_tool_call(f"Function '{function_name}' returned: {tool_result}", console=console)
+                            if verbose:
+                                display_message = f"Agent {agent_name} called function '{function_name}' with arguments: {arguments}\n"
+                                if tool_result:
+                                    display_message += f"Function returned: {tool_result}"
+                                    logging.debug(f"[TOOL_EXEC_DEBUG] Display message with result: {display_message}")
+                                else:
+                                    display_message += "Function returned no output"
+                                    logging.debug("[TOOL_EXEC_DEBUG] Tool returned no output")
+
+                                logging.debug(f"[TOOL_EXEC_DEBUG] About to display tool call with message: {display_message}")
+                                display_tool_call(display_message, console=console)
+
                                 messages.append({
                                     "role": "tool",
                                     "tool_call_id": tool_call["id"],
                                     "content": json.dumps(tool_result)
                                 })
                             else:
+                                logging.debug("[TOOL_EXEC_DEBUG] Verbose mode off, not displaying tool call")
                                 messages.append({
                                     "role": "tool",
                                     "tool_call_id": tool_call["id"],
@@ -923,14 +932,15 @@ async def get_response_async(
                         function_name = tool_call.function.name
                         arguments = json.loads(tool_call.function.arguments)
 
-                        if verbose:
-                            display_tool_call(f"Agent {agent_name} is calling function '{function_name}' with arguments: {arguments}", console=console)
-
                         tool_result = await execute_tool_fn(function_name, arguments)
 
-                        if tool_result:
-                            if verbose:
-                                display_tool_call(f"Function '{function_name}' returned: {tool_result}", console=console)
+                        if verbose:
+                            display_message = f"Agent {agent_name} called function '{function_name}' with arguments: {arguments}\n"
+                            if tool_result:
+                                display_message += f"Function returned: {tool_result}"
+                            else:
+                                display_message += "Function returned no output"
+                            display_tool_call(display_message, console=console)
                             messages.append({
                                 "role": "tool",
                                 "tool_call_id": tool_call.id,

src/praisonai-agents/praisonaiagents/main.py

@@ -86,6 +86,7 @@ async def execute_callback(display_type: str, **kwargs):
 def _clean_display_content(content: str, max_length: int = 20000) -> str:
     """Helper function to clean and truncate content for display."""
     if not content or not str(content).strip():
+        logging.debug(f"Empty content received in _clean_display_content: {repr(content)}")
         return ""
 
     content = str(content)
@@ -174,11 +175,14 @@ def display_instruction(message: str, console=None, agent_name: str = None, agen
         console.print(Panel.fit(Text(message, style="bold blue"), title="Instruction", border_style="cyan"))
 
 def display_tool_call(message: str, console=None):
+    logging.debug(f"display_tool_call called with message: {repr(message)}")
     if not message or not message.strip():
+        logging.debug("Empty message in display_tool_call, returning early")
         return
     if console is None:
         console = Console()
     message = _clean_display_content(str(message))
+    logging.debug(f"Cleaned message in display_tool_call: {repr(message)}")
 
     # Execute callback if registered
     if 'tool_call' in sync_display_callbacks:
@@ -202,7 +206,8 @@ def display_error(message: str, console=None):
 
 def display_generating(content: str = "", start_time: Optional[float] = None):
     if not content or not str(content).strip():
-        return Panel("", title="", border_style="green")
+        logging.debug("Empty content in display_generating, returning early")
+        return None
 
     elapsed_str = ""
     if start_time is not None:
@@ -293,11 +298,14 @@ async def adisplay_instruction(message: str, console=None, agent_name: str = Non
 
 async def adisplay_tool_call(message: str, console=None):
     """Async version of display_tool_call."""
+    logging.debug(f"adisplay_tool_call called with message: {repr(message)}")
     if not message or not message.strip():
+        logging.debug("Empty message in adisplay_tool_call, returning early")
         return
     if console is None:
         console = Console()
     message = _clean_display_content(str(message))
+    logging.debug(f"Cleaned message in adisplay_tool_call: {repr(message)}")
 
     if 'tool_call' in async_display_callbacks:
         await async_display_callbacks['tool_call'](message=message)
@@ -321,7 +329,8 @@ async def adisplay_error(message: str, console=None):
 async def adisplay_generating(content: str = "", start_time: Optional[float] = None):
     """Async version of display_generating."""
     if not content or not str(content).strip():
-        return Panel("", title="", border_style="green")
+        logging.debug("Empty content in adisplay_generating, returning early")
+        return None
 
     elapsed_str = ""
     if start_time is not None:

src/praisonai-agents/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "praisonaiagents"
-version = "0.0.62"
+version = "0.0.63"
 description = "Praison AI agents for completing complex tasks with Self Reflection Agents"
 authors = [
     { name="Mervin Praison" }