Python: Add samples syntax checking with pyright (#3710)

* Add samples syntax checking with pyright

- Add pyrightconfig.samples.json with relaxed type checking but import validation
- Add samples-syntax poe task to check samples for syntax and import errors
- Add samples-syntax to check and pre-commit-check tasks
- Fix 78 sample errors:
  - Update workflow builder imports to use agent_framework_orchestrations
  - Change content type isinstance checks to content.type comparisons
  - Use Content factory methods instead of removed content type classes
  - Fix TypedDict access patterns for Annotation
  - Fix various API mismatches (normalize_messages, ChatMessage.text, role)

* fixed a bunch of samples and tweaks to pre-commit

* updated lock

* updated lock

* fixes

* added lint to samples

python/samples/getting_started/context_providers/aggregate_context_provider.py

@@ -211,7 +211,7 @@ class PreferencesContextProvider(ContextProvider):
         msgs = [request_messages] if isinstance(request_messages, ChatMessage) else list(request_messages)
 
         for msg in msgs:
-            content = msg.content if hasattr(msg, "content") else ""
+            content = msg.text if hasattr(msg, "text") else ""
             # Very simple extraction - in production, use LLM-based extraction
             if isinstance(content, str) and "prefer" in content.lower() and ":" in content:
                 parts = content.split(":")

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

@@ -63,15 +63,16 @@ async def main() -> None:
     thread_id = "azure_test_thread"
 
     # Factory for creating Azure Redis chat message store
-    chat_message_store_factory = lambda: RedisChatMessageStore(
-        credential_provider=credential_provider,
-        host=redis_host,
-        port=10000,
-        ssl=True,
-        thread_id=thread_id,
-        key_prefix="chat_messages",
-        max_messages=100,
-    )
+    def chat_message_store_factory():
+        return RedisChatMessageStore(
+            credential_provider=credential_provider,
+            host=redis_host,
+            port=10000,
+            ssl=True,
+            thread_id=thread_id,
+            key_prefix="chat_messages",
+            max_messages=100,
+        )
 
     # Create chat client
     client = OpenAIChatClient()

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

@@ -52,12 +52,14 @@ async def main() -> None:
         vector_distance_metric="cosine",
         thread_id=thread_id,
     )
-    chat_message_store_factory = lambda: RedisChatMessageStore(
-        redis_url="redis://localhost:6379",
-        thread_id=thread_id,
-        key_prefix="chat_messages",
-        max_messages=100,
-    )
+
+    def chat_message_store_factory():
+        return RedisChatMessageStore(
+            redis_url="redis://localhost:6379",
+            thread_id=thread_id,
+            key_prefix="chat_messages",
+            max_messages=100,
+        )
 
     # Create chat client for the agent
     client = OpenAIChatClient(model_id=os.getenv("OPENAI_CHAT_MODEL_ID"), api_key=os.getenv("OPENAI_API_KEY"))