Rename 3rdPartyThreadStorage sample to 3rdPartyChatHistoryStorage (#3643)

dotnet/agent-framework-dotnet.slnx

@@ -81,7 +81,7 @@
     <Project Path="samples/GettingStarted/Agents/Agent_Step04_UsingFunctionToolsWithApprovals/Agent_Step04_UsingFunctionToolsWithApprovals.csproj" />
     <Project Path="samples/GettingStarted/Agents/Agent_Step05_StructuredOutput/Agent_Step05_StructuredOutput.csproj" />
     <Project Path="samples/GettingStarted/Agents/Agent_Step06_PersistedConversations/Agent_Step06_PersistedConversations.csproj" />
-    <Project Path="samples/GettingStarted/Agents/Agent_Step07_3rdPartyThreadStorage/Agent_Step07_3rdPartyThreadStorage.csproj" />
+    <Project Path="samples/GettingStarted/Agents/Agent_Step07_3rdPartyChatHistoryStorage/Agent_Step07_3rdPartyChatHistoryStorage.csproj" />
     <Project Path="samples/GettingStarted/Agents/Agent_Step08_Observability/Agent_Step08_Observability.csproj" />
     <Project Path="samples/GettingStarted/Agents/Agent_Step09_DependencyInjection/Agent_Step09_DependencyInjection.csproj" />
     <Project Path="samples/GettingStarted/Agents/Agent_Step10_AsMcpTool/Agent_Step10_AsMcpTool.csproj" />

dotnet/samples/GettingStarted/Agents/Agent_Step07_3rdPartyChatHistoryStorage/Program.cs

@@ -2,7 +2,9 @@
 
 #pragma warning disable CA1869 // Cache and reuse 'JsonSerializerOptions' instances
 
-// This sample shows how to create and use a simple AI agent with a conversation that can be persisted to disk.
+// This sample shows how to create and use a simple AI agent with custom ChatHistoryProvider that stores chat history in a custom storage location.
+// The state of the custom ChatHistoryProvider (SessionDbKey) is stored with the agent session, so that when the session is resumed later,
+// the chat history can be retrieved from the custom storage location.
 
 using System.Text.Json;
 using Azure.AI.OpenAI;

dotnet/samples/GettingStarted/Agents/README.md

@@ -33,7 +33,7 @@ Before you begin, ensure you have the following prerequisites:
 |[Using function tools with approvals](./Agent_Step04_UsingFunctionToolsWithApprovals/)|This sample demonstrates how to use function tools where approvals require human in the loop approvals before execution|
 |[Structured output with a simple agent](./Agent_Step05_StructuredOutput/)|This sample demonstrates how to use structured output with a simple agent|
 |[Persisted conversations with a simple agent](./Agent_Step06_PersistedConversations/)|This sample demonstrates how to persist conversations and reload them later. This is useful for cases where an agent is hosted in a stateless service|
-|[3rd party thread storage with a simple agent](./Agent_Step07_3rdPartyThreadStorage/)|This sample demonstrates how to store conversation history in a 3rd party storage solution|
+|[3rd party chat history storage with a simple agent](./Agent_Step07_3rdPartyChatHistoryStorage/)|This sample demonstrates how to store chat history in a 3rd party storage solution|
 |[Observability with a simple agent](./Agent_Step08_Observability/)|This sample demonstrates how to add telemetry to a simple agent|
 |[Dependency injection with a simple agent](./Agent_Step09_DependencyInjection/)|This sample demonstrates how to add and resolve an agent with a dependency injection container|
 |[Exposing a simple agent as MCP tool](./Agent_Step10_AsMcpTool/)|This sample demonstrates how to expose an agent as an MCP tool|