Refactor reasoning capabilities and update version to 0.0.52

- Removed the `any-llm-think.py` script to streamline the agent framework.
- Enhanced `deepseek-reasoning-agents.py` to include reasoning display options and updated the method for starting agents.
- Updated `pyproject.toml` and `uv.lock` to reflect the new version 0.0.52.
- Improved `agent.py` and `llm.py` to support reasoning content in both synchronous and asynchronous calls, enhancing the overall functionality of the agent framework.

These changes aim to refine the reasoning features and improve the user experience within the PraisonAI framework.

agents/deepseek-reasoning-agents.py

@@ -1,5 +1,6 @@
 from praisonaiagents import Agent
 
-agent = Agent(instructions="You are helpful Assisant", llm="deepseek-reasoner")
+agent = Agent(instructions="You are helpful Assisant", llm="deepseek-reasoner", show_reasoning=True)
 
-agent.start("Why sky is Blue?", show_reasoning=True)
+result = agent.start("Why sky is Blue?")
+print(result)

agents/litellm-reasoning.py

@@ -0,0 +1,14 @@
+from litellm import completion
+
+messages = [{"role": "user", "content": "What is 1+1?"}]
+resp = completion(
+    model="deepseek/deepseek-reasoner",
+    messages=messages,
+    stream=False
+)
+
+reasoning_content = resp.choices[0].message.provider_specific_fields["reasoning_content"]
+content = resp.choices[0].message.content
+
+print(reasoning_content)
+print(content)

agents/llm-deepseek-agents.py

@@ -0,0 +1,9 @@
+from praisonaiagents import Agent
+
+agent = Agent(
+    instructions="You are helpful Assisant", 
+    llm="deepseek/deepseek-reasoner"
+)
+
+result = agent.start("Why sky is Blue?")
+print(result)

agents/llm-deepseek-reasoning-agents.py

@@ -0,0 +1,10 @@
+from praisonaiagents import Agent
+
+agent = Agent(
+    instructions="You are helpful Assisant", 
+    llm="deepseek/deepseek-reasoner", 
+    show_reasoning=True
+)
+
+result = agent.start("Why sky is Blue?")
+print(result)

agents/praisonaiagents/agent/agent.py

@@ -317,7 +317,8 @@ def __init__(
         max_reflect: int = 3,
         min_reflect: int = 1,
         reflect_llm: Optional[str] = None,
-        user_id: Optional[str] = None
+        user_id: Optional[str] = None,
+        show_reasoning: bool = False
     ):
         # Add check at start if memory is requested
         if memory is not None:
@@ -425,6 +426,7 @@ def __init__(
 
         # Store user_id
         self.user_id = user_id or "praison"
+        self.show_reasoning = show_reasoning
 
         # Check if knowledge parameter has any values
         if not knowledge:
@@ -643,6 +645,7 @@ def _chat_completion(self, messages, temperature=0.2, tools=None, stream=True, s
             return None
 
     def chat(self, prompt, temperature=0.2, tools=None, output_json=None, output_pydantic=None, show_reasoning=False):
+        show_reasoning = show_reasoning or self.show_reasoning
         # Search for existing knowledge if any knowledge is provided
         if self.knowledge:
             search_results = self.knowledge.search(prompt, agent_id=self.agent_id)
@@ -678,7 +681,8 @@ def chat(self, prompt, temperature=0.2, tools=None, output_json=None, output_pyd
                     agent_name=self.name,
                     agent_role=self.role,
                     agent_tools=[t.__name__ if hasattr(t, '__name__') else str(t) for t in self.tools],
-                    execute_tool_fn=self.execute_tool  # Pass tool execution function
+                    execute_tool_fn=self.execute_tool,  # Pass tool execution function
+                    show_reasoning=show_reasoning
                 )
 
                 self.chat_history.append({"role": "user", "content": prompt})
@@ -883,6 +887,7 @@ def clean_json_output(self, output: str) -> str:
 
     async def achat(self, prompt: str, temperature=0.2, tools=None, output_json=None, output_pydantic=None, show_reasoning=False):
         """Async version of chat method. TODO: Requires Syncing with chat method.""" 
+        show_reasoning = show_reasoning or self.show_reasoning
         try:
             # Search for existing knowledge if any knowledge is provided
             if self.knowledge:

agents/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "praisonaiagents"
-version = "0.0.51"
+version = "0.0.52"
 description = "Praison AI agents for completing complex tasks with Self Reflection Agents"
 authors = [
     { name="Mervin Praison" }