Merge branch 'main' into phase4-api-fixes

Author: Dhivya-Bharathy

examples/agent_centric_api.py

@@ -52,7 +52,7 @@ def example_with_config():
         instructions="You are a research assistant",
         memory=MemoryConfig(
             backend="file",
-            user_id="researcher_001",
+            memory={"user_id": "researcher_001"},
             auto_memory=True,
         ),
         reflection=ReflectionConfig(

examples/persistence/knowledge_qdrant.py

@@ -52,10 +52,7 @@
     instructions="You are a helpful assistant with access to technical documentation.",
     knowledge={
         "sources": [doc_path],
-        "vector_store": {
-            "provider": "qdrant",
-            "url": "http://localhost:6333",
-        },
+main
     }
 )
 

examples/python/general/memory_example.py

@@ -105,6 +105,7 @@ def main():
         agents=[researcher, retriever],
         tasks=[store_task, verify_task, query_task, query_both_task],  # Use same verbose level as memory
         memory={
+main
             "embedder": {
                 "provider": "openai",
                 "config": {

examples/python/memory/gemini-embedding-example.py

@@ -86,6 +86,7 @@ def main():
         agents=[researcher, retriever],
         tasks=[store_task, retrieve_task],
         memory={
+main
             "embedder": {
                 "provider": "gemini",
                 "config": {

examples/python/models/deepseek/deepseek-rag-agents.py

@@ -30,11 +30,7 @@
 agent = Agent(
     name="Knowledge Agent",
     instructions="You answer questions based on the provided knowledge.",
-    knowledge={
-        "sources": ["kag-research-paper.pdf"],
-        "vector_store": config["vector_store"],
-        "embedder": config["embedder"],
-    },
+main
     memory={"user_id": "user1"},
     llm="deepseek-r1"
 )

examples/python/stateful/memory-quality-example.py

@@ -179,7 +179,7 @@ def main():
 
     context = memory.build_context_for_task(
         task_descr="Explain AI alignment challenges",
-        user_id="quality_demo_user",
+        memory={"user_id": "quality_demo_user"},
         max_items=3
     )
 

examples/python/stateful/session-example.py

@@ -15,7 +15,7 @@ def main():
     # Create a session with persistent storage
     session = Session(
         session_id="demo_chat_001",
-        user_id="demo_user",
+main
     )
 
     print(f"📝 Created session: {session}")