Python: [BREAKING] Renamed create_agent to as_agent (#3249)

* Renamed create_agent to as_agent

* Override for as_agent

* Added override

python/samples/getting_started/context_providers/redis/azure_redis_conversation.py

@@ -77,7 +77,7 @@ async def main() -> None:
     client = OpenAIChatClient()
 
     # Create agent with Azure Redis store
-    agent = client.create_agent(
+    agent = client.as_agent(
         name="AzureRedisAssistant",
         instructions="You are a helpful assistant.",
         chat_message_store_factory=chat_message_store_factory,

python/samples/getting_started/context_providers/redis/redis_basics.py

@@ -178,7 +178,7 @@ async def main() -> None:
     client = OpenAIChatClient(model_id=os.getenv("OPENAI_CHAT_MODEL_ID"), api_key=os.getenv("OPENAI_API_KEY"))
     # Create agent wired to the Redis context provider. The provider automatically
     # persists conversational details and surfaces relevant context on each turn.
-    agent = client.create_agent(
+    agent = client.as_agent(
         name="MemoryEnhancedAssistant",
         instructions=(
             "You are a helpful assistant. Personalize replies using provided context. "
@@ -220,7 +220,7 @@ async def main() -> None:
     # Create agent exposing the flight search tool. Tool outputs are captured by the
     # provider and become retrievable context for later turns.
     client = OpenAIChatClient(model_id=os.getenv("OPENAI_CHAT_MODEL_ID"), api_key=os.getenv("OPENAI_API_KEY"))
-    agent = client.create_agent(
+    agent = client.as_agent(
         name="MemoryEnhancedAssistant",
         instructions=(
             "You are a helpful assistant. Personalize replies using provided context. "

python/samples/getting_started/context_providers/redis/redis_conversation.py

@@ -63,7 +63,7 @@ async def main() -> None:
     client = OpenAIChatClient(model_id=os.getenv("OPENAI_CHAT_MODEL_ID"), api_key=os.getenv("OPENAI_API_KEY"))
     # Create agent wired to the Redis context provider. The provider automatically
     # persists conversational details and surfaces relevant context on each turn.
-    agent = client.create_agent(
+    agent = client.as_agent(
         name="MemoryEnhancedAssistant",
         instructions=(
             "You are a helpful assistant. Personalize replies using provided context. "

python/samples/getting_started/context_providers/redis/redis_threads.py

@@ -63,7 +63,7 @@ async def example_global_thread_scope() -> None:
         scope_to_per_operation_thread_id=False,  # Share memories across all threads
     )
 
-    agent = client.create_agent(
+    agent = client.as_agent(
         name="GlobalMemoryAssistant",
         instructions=(
             "You are a helpful assistant. Personalize replies using provided context. "
@@ -125,7 +125,7 @@ async def example_per_operation_thread_scope() -> None:
         vector_distance_metric="cosine",
     )
 
-    agent = client.create_agent(
+    agent = client.as_agent(
         name="ScopedMemoryAssistant",
         instructions="You are an assistant with thread-scoped memory.",
         context_provider=provider,
@@ -190,7 +190,7 @@ async def example_multiple_agents() -> None:
         vector_distance_metric="cosine",
     )
 
-    personal_agent = client.create_agent(
+    personal_agent = client.as_agent(
         name="PersonalAssistant",
         instructions="You are a personal assistant that helps with personal tasks.",
         context_provider=personal_provider,
@@ -208,7 +208,7 @@ async def example_multiple_agents() -> None:
         vector_distance_metric="cosine",
     )
 
-    work_agent = client.create_agent(
+    work_agent = client.as_agent(
         name="WorkAssistant",
         instructions="You are a work assistant that helps with professional tasks.",
         context_provider=work_provider,