Release v4.2.3

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>=4.2.2" \
+    "praisonai>=4.2.3" \
     "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>=4.2.2" \
+    "praisonai>=4.2.3" \
     "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>=4.2.2" \
+    "praisonai>=4.2.3" \
     "praisonai[ui]" \
     "praisonai[crewai]"
 

src/praisonai-agents/praisonaiagents/config/presets.py

@@ -16,6 +16,7 @@ from typing import Any, Dict
 # =============================================================================
 
 MEMORY_PRESETS: Dict[str, Dict[str, Any]] = {
+    # Backend presets
     "file": {"backend": "file"},
     "sqlite": {"backend": "sqlite"},
     "redis": {"backend": "redis"},
@@ -23,6 +24,8 @@ MEMORY_PRESETS: Dict[str, Dict[str, Any]] = {
     "postgresql": {"backend": "postgres"},
     "mem0": {"backend": "mem0"},
     "mongodb": {"backend": "mongodb"},
+    # Feature presets
+    "learn": {"backend": "file", "learn": True},  # Enable Agent Learn with file backend
 }
 
 MEMORY_URL_SCHEMES: Dict[str, str] = {

src/praisonai-agents/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "praisonaiagents"
-version = "1.2.2"
+version = "1.2.3"
 description = "Praison AI agents for completing complex tasks with Self Reflection Agents"
 readme = "README.md"
 requires-python = ">=3.10"

src/praisonai-agents/tests/unit/config/test_memory_learn_preset.py

@@ -0,0 +1,131 @@
+"""
+Tests for memory="learn" shorthand preset.
+
+Tests that memory="learn" enables Agent Learn functionality with a simple string parameter.
+"""
+
+import pytest
+
+
+class TestMemoryLearnPreset:
+    """Test that 'learn' preset exists in MEMORY_PRESETS."""
+    
+    def test_learn_preset_exists(self):
+        """MEMORY_PRESETS should contain 'learn' key."""
+        from praisonaiagents.config.presets import MEMORY_PRESETS
+        
+        assert "learn" in MEMORY_PRESETS, "MEMORY_PRESETS should have 'learn' preset"
+    
+    def test_learn_preset_has_learn_true(self):
+        """Learn preset should have learn=True."""
+        from praisonaiagents.config.presets import MEMORY_PRESETS
+        
+        preset = MEMORY_PRESETS.get("learn", {})
+        assert preset.get("learn") is True, "Learn preset should have learn=True"
+    
+    def test_learn_preset_has_backend(self):
+        """Learn preset should have a backend (file by default)."""
+        from praisonaiagents.config.presets import MEMORY_PRESETS
+        
+        preset = MEMORY_PRESETS.get("learn", {})
+        assert "backend" in preset, "Learn preset should have backend"
+        assert preset["backend"] == "file", "Learn preset should use file backend by default"
+
+
+class TestMemoryLearnResolution:
+    """Test that memory='learn' resolves correctly."""
+    
+    def test_resolve_memory_learn_string(self):
+        """resolve() should convert 'learn' string to MemoryConfig with learn=True."""
+        from praisonaiagents.config.param_resolver import resolve, ArrayMode
+        from praisonaiagents.config.presets import MEMORY_PRESETS, MEMORY_URL_SCHEMES
+        from praisonaiagents.config.feature_configs import MemoryConfig
+        
+        result = resolve(
+            value="learn",
+            param_name="memory",
+            config_class=MemoryConfig,
+            presets=MEMORY_PRESETS,
+            url_schemes=MEMORY_URL_SCHEMES,
+            array_mode=ArrayMode.SINGLE_OR_LIST,
+            default=None,
+        )
+        
+        assert result is not None, "Should resolve 'learn' to a config"
+        assert isinstance(result, MemoryConfig), f"Should be MemoryConfig, got {type(result)}"
+        assert result.learn is True, "MemoryConfig should have learn=True"
+    
+    def test_memory_config_from_preset_dict(self):
+        """MemoryConfig should accept learn field from preset dict."""
+        from praisonaiagents.config.feature_configs import MemoryConfig
+        
+        # Simulate what happens when preset is converted to MemoryConfig
+        preset_dict = {"backend": "file", "learn": True}
+        config = MemoryConfig(**preset_dict)
+        
+        assert config.backend == "file"
+        assert config.learn is True
+
+
+class TestAgentMemoryLearnShorthand:
+    """Test Agent accepts memory='learn' parameter."""
+    
+    def test_agent_accepts_memory_learn_string(self):
+        """Agent should accept memory='learn' without error."""
+        from praisonaiagents import Agent
+        
+        # Should not raise
+        agent = Agent(
+            instructions="Test agent with learn memory",
+            memory="learn"
+        )
+        
+        assert agent is not None
+    
+    def test_agent_memory_learn_sets_learn_config(self):
+        """Agent with memory='learn' should have memory enabled."""
+        from praisonaiagents import Agent
+        
+        agent = Agent(
+            instructions="Test agent", 
+            memory="learn"
+        )
+        
+        # Agent should have memory enabled (truthy value)
+        assert agent.memory, "Agent.memory should be enabled when using memory='learn'"
+
+
+class TestMemoryLearnIntegration:
+    """Integration tests for memory='learn' with Memory class."""
+    
+    def test_memory_class_with_learn_config(self):
+        """Memory class should initialize LearnManager when learn=True in config."""
+        from praisonaiagents.memory.memory import Memory
+        
+        memory = Memory({"provider": "rag", "learn": True, "use_embedding": False})
+        
+        # Access learn property (lazy-loaded)
+        learn_manager = memory.learn
+        
+        assert learn_manager is not None, "Memory.learn should return LearnManager instance"
+    
+    def test_memory_learn_captures_persona(self):
+        """LearnManager should capture persona entries."""
+        import tempfile
+        import shutil
+        from praisonaiagents.memory.memory import Memory
+        
+        temp_dir = tempfile.mkdtemp()
+        try:
+            memory = Memory({
+                "provider": "rag", 
+                "learn": True, 
+                "use_embedding": False,
+                "user_id": "test_user"
+            })
+            
+            if memory.learn:
+                entry = memory.learn.capture_persona("User prefers concise responses")
+                assert entry is not None
+        finally:
+            shutil.rmtree(temp_dir, ignore_errors=True)

src/praisonai-agents/uv.lock

@@ -2549,7 +2549,7 @@ wheels = [
 
 [[package]]
 name = "praisonaiagents"
-version = "1.2.2"
+version = "1.2.3"
 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/v4.2.2.tar.gz"
-    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v4.2.2.tar.gz | shasum -a 256`.split.first
+    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v4.2.3.tar.gz"
+    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v4.2.3.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==4.2.2 gunicorn markdown\n")
+            file.write("RUN pip install flask praisonai==4.2.3 gunicorn markdown\n")
             file.write("EXPOSE 8080\n")
             file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n')
             

src/praisonai/praisonai/version.py

@@ -1 +1 @@
-__version__ = "4.2.2"
+__version__ = "4.2.3"

src/praisonai/pyproject.toml

@@ -12,7 +12,7 @@ dependencies = [
     "rich>=13.7",
     "markdown>=3.5",
     "pyparsing>=3.0.0",
-    "praisonaiagents>=1.2.2",
+    "praisonaiagents>=1.2.3",
     "python-dotenv>=0.19.0",
     "litellm>=1.81.0",
     "PyYAML>=6.0",

src/praisonai/uv.lock

@@ -4047,7 +4047,7 @@ requires-dist = [
     { name = "praisonai-tools", marker = "extra == 'autogen'", specifier = ">=0.1.0" },
     { name = "praisonai-tools", marker = "extra == 'autogen-v4'", specifier = ">=0.1.0" },
     { name = "praisonai-tools", marker = "extra == 'crewai'", specifier = ">=0.1.0" },
-    { name = "praisonaiagents", specifier = ">=1.2.2" },
+    { name = "praisonaiagents", specifier = ">=1.2.3" },
     { name = "pyautogen", marker = "extra == 'autogen'", specifier = "==0.2.29" },
     { name = "pyngrok", marker = "extra == 'call'", specifier = ">=1.4.0" },
     { name = "pyparsing", specifier = ">=3.0.0" },
@@ -4100,7 +4100,7 @@ wheels = [
 
 [[package]]
 name = "praisonaiagents"
-version = "1.2.2"
+version = "1.2.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohttp" },
@@ -4109,9 +4109,9 @@ dependencies = [
     { name = "pydantic" },
     { name = "rich" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a5/fd/dc1591930e10108c04b21de9e620ef0910ad0d7c34ecb1a7616ce0ccc8c7/praisonaiagents-1.2.2.tar.gz", hash = "sha256:c790107dfd278a46c52a0191b77c13900f091fb5a7051195cb1926d9ca19e991", size = 1163165, upload-time = "2026-01-31T20:23:29.288Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/28/66/dfea46ec66e2b9a8b178438809412be4368a12ee3e091bb1f632d3ce20b5/praisonaiagents-1.2.3.tar.gz", hash = "sha256:1311be1b6fb5b265621e9795bb1a2c80339daf0dd30037f94c436b1cedd50d4e", size = 1163248, upload-time = "2026-01-31T22:14:29.981Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/0b/21/406275ba1c6f1d7dcef710c7aa62a6fccb5cafbbb4883a39fe48715837ea/praisonaiagents-1.2.2-py3-none-any.whl", hash = "sha256:8732cdd90526b1fba0feb192c97b8c0b2387eda2827cf89d7d9867cd02aeaad8", size = 1156030, upload-time = "2026-01-31T20:23:27.414Z" },
+    { url = "https://files.pythonhosted.org/packages/1d/07/96193b064c2289f7a117df864c918e20905b228a4f700310607f252c2d5f/praisonaiagents-1.2.3-py3-none-any.whl", hash = "sha256:25ae4d232bb44b4b4f9a5a6b260c58a9fbc34b7b3a4aa34307d33ab0f0d472fb", size = 1156072, upload-time = "2026-01-31T22:14:27.849Z" },
 ]
 
 [[package]]