Update version to 0.0.46 and enhance memory feature checks

- Bumped the version of the `praisonaiagents` package from 0.0.45 to 0.0.46 in `pyproject.toml` and `uv.lock` to reflect the latest updates.
- Added import checks for memory features in the `Agent`, `PraisonAIAgents`, and `Task` classes to ensure proper handling of memory dependencies.
- Removed the obsolete `Memory` import from the `__init__.py` file to streamline the codebase.

These changes improve the robustness of the PraisonAI framework by ensuring that memory features are only utilized when the necessary dependencies are installed.

agents/praisonaiagents/__init__.py

@@ -9,7 +9,6 @@
 from .agents.autoagents import AutoAgents
 from .knowledge.knowledge import Knowledge
 from .knowledge.chunking import Chunking
-from .memory.memory import Memory
 from .main import (
     TaskOutput,
     ReflectionOutput,
@@ -38,7 +37,6 @@
     'TaskOutput',
     'ReflectionOutput',
     'AutoAgents',
-    'Memory',
     'display_interaction',
     'display_self_reflection',
     'display_instruction',

agents/praisonaiagents/agent/agent.py

@@ -192,6 +192,17 @@ def __init__(
         reflect_llm: Optional[str] = None,
         user_id: Optional[str] = None
     ):
+        # Add check at start if memory is requested
+        if memory is not None:
+            try:
+                from ..memory.memory import Memory
+                MEMORY_AVAILABLE = True
+            except ImportError:
+                raise ImportError(
+                    "Memory features requested in Agent but memory dependencies not installed. "
+                    "Please install with: pip install \"praisonaiagents[memory]\""
+                )
+
         # Handle backward compatibility for required fields
         if all(x is None for x in [name, role, goal, backstory, instructions]):
             raise ValueError("At least one of name, role, goal, backstory, or instructions must be provided")

agents/praisonaiagents/agents/agents.py

@@ -46,6 +46,17 @@ def process_video(video_path: str, seconds_per_frame=2):
 
 class PraisonAIAgents:
     def __init__(self, agents, tasks=None, verbose=0, completion_checker=None, max_retries=5, process="sequential", manager_llm=None, memory=False, memory_config=None, embedder=None, user_id=None, max_iter=10):
+        # Add check at the start if memory is requested
+        if memory:
+            try:
+                from ..memory.memory import Memory
+                MEMORY_AVAILABLE = True
+            except ImportError:
+                raise ImportError(
+                    "Memory features requested but memory dependencies not installed. "
+                    "Please install with: pip install \"praisonaiagents[memory]\""
+                )
+
         if not agents:
             raise ValueError("At least one agent must be provided")
 

agents/praisonaiagents/memory/memory.py

@@ -15,7 +15,7 @@
     CHROMADB_AVAILABLE = True
 except ImportError:
     CHROMADB_AVAILABLE = False
-    logger.warning("To use memory features, please run: pip install \"praisonaiagents[memory]\"")
+    pass
 
 try:
     import mem0

agents/praisonaiagents/task/task.py

@@ -40,6 +40,17 @@ def __init__(
         quality_check=True,
         input_file: Optional[str] = None
     ):
+        # Add check if memory config is provided
+        if memory is not None or (config and config.get('memory_config')):
+            try:
+                from ..memory.memory import Memory
+                MEMORY_AVAILABLE = True
+            except ImportError:
+                raise ImportError(
+                    "Memory features requested in Task but memory dependencies not installed. "
+                    "Please install with: pip install \"praisonaiagents[memory]\""
+                )
+
         self.input_file = input_file
         self.id = str(uuid.uuid4()) if id is None else str(id)
         self.name = name

agents/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "praisonaiagents"
-version = "0.0.45"
+version = "0.0.46"
 description = "Praison AI agents for completing complex tasks with Self Reflection Agents"
 authors = [
     { name="Mervin Praison" }