Release v3.10.21

Author: MervinPraison

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>=3.10.20" \
+    "praisonai>=3.10.21" \
     "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>=3.10.20" \
+    "praisonai>=3.10.21" \
     "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>=3.10.20" \
+    "praisonai>=3.10.21" \
     "praisonai[ui]" \
     "praisonai[crewai]"
 

…s/consolidated_params/advanced_memory.py …s/consolidated_params/advanced_memory.pysrc/praisonai-agents/examples/consolidated_params/advanced_memory.py renamed to examples/consolidated_params/advanced_memory.py src/praisonai-agents/examples/consolidated_params/advanced_memory.py renamed to examples/consolidated_params/advanced_memory.py

@@ -1,21 +1,24 @@
-"""
-Basic Memory Example - Agent-Centric API
-
-Demonstrates the simplest memory usage with consolidated params.
-"""
-
+"""Basic memory example - minimal usage."""
 from praisonaiagents import Agent
 
-# Basic: Enable memory with preset
+# Simple enable (uses default file-based memory)
 agent = Agent(
     instructions="You are a helpful assistant with memory.",
-    memory="sqlite",  # Preset: sqlite, redis, postgres, file
+    memory=True,
 )
 
-# Run a simple task
-response = agent.start("Remember that my favorite color is blue.")
-print(response)
+# With preset
+agent_redis = Agent(
+    instructions="You are a helpful assistant.",
+    memory="redis",  # Uses redis preset
+)
+
+# With URL
+agent_postgres = Agent(
+    instructions="You are a helpful assistant.",
+    memory="postgresql://localhost/mydb",  # URL auto-detected
+)
 
-# Follow-up to test memory
-response = agent.start("What is my favorite color?")
-print(response)
+if __name__ == "__main__":
+    response = agent.chat("Remember that my favorite color is blue.")
+    print(response)

examples/consolidated_params/basic_memory.py

@@ -1,26 +1,22 @@
-"""
-Basic Workflow Example - Agent-Centric API
-
-Demonstrates minimal workflow with consolidated params.
-"""
-
+"""Basic workflow example with consolidated params."""
 from praisonaiagents import Agent
 from praisonaiagents.workflows import Workflow, WorkflowStep
 
-# Create a simple workflow
-workflow = Workflow(
-    name="simple_workflow",
-    output="verbose",  # Workflow-level output preset
-)
+# Create agents
+writer = Agent(instructions="You are a content writer.")
+editor = Agent(instructions="You are an editor.")
 
-# Add a step
-step = WorkflowStep(
-    name="writer",
-    action="Write a haiku about programming",
-    agent=Agent(instructions="You are a creative poet."),
-    output="result.txt",  # Save output to file
+# Create workflow with consolidated params
+workflow = Workflow(
+    name="Content Pipeline",
+    steps=[
+        WorkflowStep(name="write", agent=writer, action="Write about {{topic}}"),
+        WorkflowStep(name="edit", agent=editor, action="Edit the content", context=["write"]),
+    ],
+    output="verbose",
+    planning=True,
 )
 
-# Note: This is a structural example - actual execution requires workflow.run()
-print("Workflow created with output preset:", workflow.output)
-print("Step output file:", step.output_file)
+if __name__ == "__main__":
+    result = workflow.run(variables={"topic": "AI agents"})
+    print(result)