Merge branch 'sdkupdate' of github.com:elena-kolevska/quickstarts into sdkupdate

Author: elena-kolevska

.github/env/global.env

@@ -1,5 +1,5 @@
 DAPR_CLI_VERSION: 1.15.0
-DAPR_RUNTIME_VERSION: 1.15.0
+DAPR_RUNTIME_VERSION: 1.15.2
 DAPR_INSTALL_URL: https://raw.githubusercontent.com/dapr/cli/v${DAPR_CLI_VERSION}/install/
 DAPR_DEFAULT_IMAGE_REGISTRY: ghcr
 

conversation/csharp/http/README.md

@@ -2,7 +2,7 @@
 
 In this quickstart, you'll send an input to a mock Large Language Model (LLM) using Dapr's Conversation API. This API is responsible for providing one consistent API entry point to talk to underlying LLM providers.
 
-Visit [this](https://v1-15.docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
+Visit [this](https://docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
 
 > **Note:** This example leverages HTTP `requests` only.  If you are looking for the example using the Dapr Client SDK (recommended) [click here](../sdk/).
 
@@ -14,7 +14,7 @@ This quickstart includes one app:
 
 This section shows how to run the application using the [multi-app run template file](https://docs.dapr.io/developing-applications/local-development/multi-app-dapr-run/multi-app-overview/) and Dapr CLI with `dapr run -f .`.  
 
-This example uses the default LLM Component provided by Dapr which simply echoes the input provided, for testing purposes. Integrate with popular LLM models by using one of the other [supported conversation components](https://v1-15.docs.dapr.io/reference/components-reference/supported-conversation/).
+This example uses the default LLM Component provided by Dapr which simply echoes the input provided, for testing purposes. Integrate with popular LLM models by using one of the other [supported conversation components](https://docs.dapr.io/reference/components-reference/supported-conversation/).
 
 Open a new terminal window and run the multi app run template:
 

conversation/csharp/sdk/README.md

@@ -2,7 +2,7 @@
 
 In this quickstart, you'll send an input to a mock Large Language Model (LLM) using Dapr's Conversation API. This API is responsible for providing one consistent API entry point to talk to underlying LLM providers.
 
-Visit [this](https://v1-15.docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
+Visit [this](https://docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
 
 > **Note:** This example leverages the Dapr SDK. If you are looking for the example using the HTTP API [click here](../http/).
 
@@ -14,7 +14,7 @@ This quickstart includes one app:
 
 This section shows how to run the application using the [multi-app run template file](https://docs.dapr.io/developing-applications/local-development/multi-app-dapr-run/multi-app-overview/) and Dapr CLI with `dapr run -f .`.  
 
-This example uses the default LLM Component provided by Dapr which simply echoes the input provided, for testing purposes. Integrate with popular LLM models by using one of the other [supported conversation components](https://v1-15.docs.dapr.io/reference/components-reference/supported-conversation/).
+This example uses the default LLM Component provided by Dapr which simply echoes the input provided, for testing purposes. Integrate with popular LLM models by using one of the other [supported conversation components](https://docs.dapr.io/reference/components-reference/supported-conversation/).
 
 Open a new terminal window and run the multi app run template:
 

conversation/go/http/README.md

@@ -2,7 +2,7 @@
 
 In this quickstart, you'll send an input to a mock Large Language Model (LLM) using Dapr's Conversation API. This API is responsible for providing one consistent API entry point to talk to underlying LLM providers.
 
-Visit [this](https://v1-15.docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
+Visit [this](https://docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
 
 > **Note:** This example leverages HTTP `requests` only. If you are looking for the example using the Dapr Client SDK (recommended) [click here](../sdk/).
 
@@ -14,7 +14,7 @@ This quickstart includes one app:
 
 This section shows how to run the application using the [multi-app run template files](https://docs.dapr.io/developing-applications/local-development/multi-app-dapr-run/multi-app-overview/) with `dapr run -f .`.  
 
-This example uses the default LLM Component provided by Dapr which simply echoes the input provided, for testing purposes. Here are other [supported Conversation components](https://v1-15.docs.dapr.io/reference/components-reference/supported-conversation/).
+This example uses the default LLM Component provided by Dapr which simply echoes the input provided, for testing purposes. Here are other [supported Conversation components](https://docs.dapr.io/reference/components-reference/supported-conversation/).
 
 Open a new terminal window and run the multi app run template:
 

conversation/go/sdk/README.md

@@ -2,7 +2,7 @@
 
 In this quickstart, you'll send an input to a mock Large Language Model (LLM) using Dapr's Conversation API. This API is responsible for providing one consistent API entry point to talk to underlying LLM providers.
 
-Visit [this](https://v1-15.docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
+Visit [this](https://docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
 
 > **Note:** This example leverages the Dapr SDK. If you are looking for the example using the HTTP API [click here](../http/).
 
@@ -14,7 +14,7 @@ This quickstart includes one app:
 
 This section shows how to run the application using the [multi-app run template files](https://docs.dapr.io/developing-applications/local-development/multi-app-dapr-run/multi-app-overview/) with `dapr run -f .`.  
 
-This example uses the default LLM Component provided by Dapr which simply echoes the input provided, for testing purposes. Here are other [supported Conversation components](https://v1-15.docs.dapr.io/reference/components-reference/supported-conversation/).
+This example uses the default LLM Component provided by Dapr which simply echoes the input provided, for testing purposes. Here are other [supported Conversation components](https://docs.dapr.io/reference/components-reference/supported-conversation/).
 
 Open a new terminal window and run the multi app run template:
 

conversation/javascript/http/README.md

@@ -2,7 +2,7 @@
 
 In this quickstart, you'll send an input to a mock Large Language Model (LLM) using Dapr's Conversation API. This API is responsible for providing one consistent API entry point to talk to underlying LLM providers.
 
-Visit [this](https://v1-15.docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
+Visit [this](https://docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
 
 > **Note:** This example leverages HTTP `requests` only.
 
@@ -14,7 +14,7 @@ This quickstart includes one app:
 
 This section shows how to run the application using the [multi-app run template files](https://docs.dapr.io/developing-applications/local-development/multi-app-dapr-run/multi-app-overview/) with `dapr run -f .`.
 
-This example uses the default LLM Component provided by Dapr which simply echoes the input provided, for testing purposes. Here are other [supported Conversation components](https://v1-15.docs.dapr.io/reference/components-reference/supported-conversation/).
+This example uses the default LLM Component provided by Dapr which simply echoes the input provided, for testing purposes. Here are other [supported Conversation components](https://docs.dapr.io/reference/components-reference/supported-conversation/).
 
 1. Install dependencies:
 

conversation/python/http/README.md

@@ -2,7 +2,7 @@
 
 In this quickstart, you'll send an input to a mock Large Language Model (LLM) using Dapr's Conversation API. This API is responsible for providing one consistent API entry point to talk to underlying LLM providers.
 
-Visit [this](https://v1-15.docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
+Visit [this](https://docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
 
 > **Note:** This example leverages HTTP `requests` only.
 
@@ -14,7 +14,7 @@ This quickstart includes one app:
 
 This section shows how to run the application using the [multi-app run template files](https://docs.dapr.io/developing-applications/local-development/multi-app-dapr-run/multi-app-overview/) with `dapr run -f .`.  
 
-This example uses the default LLM Component provided by Dapr which simply echoes the input provided, for testing purposes. Here are other [supported Conversation components](https://v1-15.docs.dapr.io/reference/components-reference/supported-conversation/).
+This example uses the default LLM Component provided by Dapr which simply echoes the input provided, for testing purposes. Here are other [supported Conversation components](https://docs.dapr.io/reference/components-reference/supported-conversation/).
 
 1. Install dependencies:
 

conversation/python/sdk/README.md

@@ -2,7 +2,7 @@
 
 In this quickstart, you'll send an input to a mock Large Language Model (LLM) using Dapr's Conversation API. This API is responsible for providing one consistent API entry point to talk to underlying LLM providers.
 
-Visit [this](https://v1-15.docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
+Visit [this](https://docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
 
 This quickstart includes one app:
 
@@ -12,7 +12,7 @@ This quickstart includes one app:
 
 This section shows how to run the application using the [multi-app run template files](https://docs.dapr.io/developing-applications/local-development/multi-app-dapr-run/multi-app-overview/) with `dapr run -f .`.  
 
-This example uses the default LLM Component provided by Dapr which simply echoes the input provided, for testing purposes. Here are other [supported Conversation components](https://v1-15.docs.dapr.io/reference/components-reference/supported-conversation/).
+This example uses the default LLM Component provided by Dapr which simply echoes the input provided, for testing purposes. Here are other [supported Conversation components](https://docs.dapr.io/reference/components-reference/supported-conversation/).
 
 1. Install dependencies:
 

jobs/csharp/http/README.md

@@ -57,7 +57,7 @@ expected_stdout_lines:
 expected_stderr_lines:
 output_match_mode: substring
 match_order: none
-background: false
+background: true
 sleep: 60
 timeout_seconds: 120
 -->
@@ -95,6 +95,18 @@ After 20 seconds, the terminal output should present the `C-3PO` job being proce
 
 <!-- END_STEP -->
 
+3. Stop and clean up application processes.
+
+<!-- STEP
+name: Stop multi-app run
+-->
+
+```bash
+dapr stop -f .
+```
+
+<!-- END_STEP -->
+
 ## Run apps individually
 
 ### Schedule Jobs

jobs/csharp/http/job-scheduler/Program.cs

@@ -18,8 +18,7 @@
 };
 
 var daprHost = Environment.GetEnvironmentVariable("DAPR_HOST") ?? "http://localhost";
-var schedulerDaprHttpPort = "6280";
-
+var jobServiceDaprHttpPort = "6280";
 var httpClient = new HttpClient();
 
 await Task.Delay(5000); // Wait for job-service to start
@@ -48,7 +47,7 @@
 
 async Task ScheduleJob(string jobName, object jobBody)
 {
-  var reqURL = $"{daprHost}:{schedulerDaprHttpPort}/v1.0-alpha1/jobs/{jobName}";
+  var reqURL = $"{daprHost}:{jobServiceDaprHttpPort}/v1.0-alpha1/jobs/{jobName}";
   var jsonBody = JsonSerializer.Serialize(jobBody);
   var content = new StringContent(jsonBody, Encoding.UTF8, "application/json");
 
@@ -64,8 +63,7 @@ async Task ScheduleJob(string jobName, object jobBody)
 
 async Task GetJobDetails(string jobName)
 {
-  var reqURL = $"{daprHost}:{schedulerDaprHttpPort}/v1.0-alpha1/jobs/{jobName}";
-
+  var reqURL = $"{daprHost}:{jobServiceDaprHttpPort}/v1.0-alpha1/jobs/{jobName}";
   var response = await httpClient.GetAsync(reqURL);
 
   if (!response.IsSuccessStatusCode)