Merge branch 'v1.15' into patch-1

Author: giterinhub

daprdocs/content/en/developing-applications/building-blocks/actors/actors-runtime-config.md

@@ -195,12 +195,8 @@ func configHandler(w http.ResponseWriter, r *http.Request) {
 
 {{< /tabs >}}
 
-## Next steps
-
-{{< button text="Enable actor reminder partitioning >>" page="howto-actors-partitioning.md" >}}
-
 ## Related links
 
 - Refer to the [Dapr SDK documentation and examples]({{< ref "developing-applications/sdks/#sdk-languages" >}}).
 - [Actors API reference]({{< ref actors_api.md >}})
-- [Actors overview]({{< ref actors-overview.md >}})
+- [Actors overview]({{< ref actors-overview.md >}})

daprdocs/content/en/developing-applications/building-blocks/actors/howto-actors-partitioning.md

@@ -8,6 +8,13 @@ aliases:
   - "/developing-applications/building-blocks/actors/actors-background"
 ---
 
+{{% alert title="Warning" color="warning" %}}
+This feature is only relevant when using state store actor reminders, no longer enabled by default.
+As of v1.15, Dapr uses the far more performant [Scheduler Actor Reminders]({{< ref "scheduler.md#actor-reminders" >}}) by default.
+This page is only relevant if you are using the legacy state store actor reminders, enabled via setting the [`SchedulerReminders` feature flag]({{< ref "support-preview-features.md#current-preview-features" >}}) to false.
+It is highly recommended you use using the Scheduler Actor Reminders feature.
+{{% /alert %}}
+
 [Actor reminders]({{< ref "actors-timers-reminders.md#actor-reminders" >}}) are persisted and continue to be triggered after sidecar restarts. Applications with multiple reminders registered can experience the following issues:
 
 - Low throughput on reminders registration and de-registration
@@ -193,4 +200,4 @@ Watch [this video for a demo of actor reminder partitioning](https://youtu.be/Zw
 ## Related links
 
 - [Actors API reference]({{< ref actors_api.md >}})
-- [Actors overview]({{< ref actors-overview.md >}})
+- [Actors overview]({{< ref actors-overview.md >}})

daprdocs/content/en/developing-applications/building-blocks/workflow/howto-manage-workflow.md

@@ -138,31 +138,29 @@ Manage your workflow within your code. In the `OrderProcessingWorkflow` example
 
 ```csharp
 string orderId = "exampleOrderId";
-string workflowComponent = "dapr";
-string workflowName = "OrderProcessingWorkflow";
 OrderPayload input = new OrderPayload("Paperclips", 99.95);
 Dictionary<string, string> workflowOptions; // This is an optional parameter
 
-// Start the workflow. This returns back a "StartWorkflowResponse" which contains the instance ID for the particular workflow instance.
-StartWorkflowResponse startResponse = await daprClient.StartWorkflowAsync(orderId, workflowComponent, workflowName, input, workflowOptions);
+// Start the workflow using the orderId as our workflow ID. This returns a string containing the instance ID for the particular workflow instance, whether we provide it ourselves or not.
+await daprWorkflowClient.ScheduleNewWorkflowAsync(nameof(OrderProcessingWorkflow), orderId, input, workflowOptions);
 
 // Get information on the workflow. This response contains information such as the status of the workflow, when it started, and more!
-GetWorkflowResponse getResponse = await daprClient.GetWorkflowAsync(orderId, workflowComponent, eventName);
+WorkflowState currentState = await daprWorkflowClient.GetWorkflowStateAsync(orderId, orderId);
 
 // Terminate the workflow
-await daprClient.TerminateWorkflowAsync(orderId, workflowComponent);
+await daprWorkflowClient.TerminateWorkflowAsync(orderId);
 
-// Raise an event (an incoming purchase order) that your workflow will wait for. This returns the item waiting to be purchased.
-await daprClient.RaiseWorkflowEventAsync(orderId, workflowComponent, workflowName, input);
+// Raise an event (an incoming purchase order) that your workflow will wait for
+await daprWorkflowClient.RaiseEventAsync(orderId, "incoming-purchase-order", input);
 
 // Pause
-await daprClient.PauseWorkflowAsync(orderId, workflowComponent);
+await daprWorkflowClient.SuspendWorkflowAsync(orderId);
 
 // Resume
-await daprClient.ResumeWorkflowAsync(orderId, workflowComponent);
+await daprWorkflowClient.ResumeWorkflowAsync(orderId);
 
 // Purge the workflow, removing all inbox and history information from associated instance
-await daprClient.PurgeWorkflowAsync(orderId, workflowComponent);
+await daprWorkflowClient.PurgeInstanceAsync(orderId);
 ```
 
 {{% /codetab %}}

daprdocs/content/en/operations/configuration/api-allowlist.md

@@ -128,6 +128,7 @@ See this list of values corresponding to the different Dapr APIs:
 | [Distributed Lock]({{< ref distributed_lock_api.md >}}) | `lock` (`v1.0-alpha1`)<br/>`unlock` (`v1.0-alpha1`) | `lock` (`v1alpha1`)<br/>`unlock` (`v1alpha1`) |
 | [Cryptography]({{< ref cryptography_api.md >}}) | `crypto` (`v1.0-alpha1`) | `crypto` (`v1alpha1`) |
 | [Workflow]({{< ref workflow_api.md >}}) | `workflows` (`v1.0`) |`workflows` (`v1`) |
+| [Conversation]({{< ref conversation_api.md >}}) | `conversation` (`v1.0-alpha1`) | `conversation` (`v1alpha1`) |
 | [Health]({{< ref health_api.md >}}) | `healthz`  (`v1.0`) | n/a |
 | Shutdown | `shutdown` (`v1.0`) | `shutdown` (`v1`) |
 

daprdocs/content/en/operations/hosting/kubernetes/kubernetes-persisting-scheduler.md

@@ -12,7 +12,7 @@ This means that there is no additional parameter required to run the scheduler s
 
 {{% alert title="Warning" color="warning" %}}
 The default storage size for the Scheduler is `1Gi`, which is likely not sufficient for most production deployments.
-Remember that the Scheduler is used for [Actor Reminders]({{< ref actors-timers-reminders.md >}}) & [Workflows]({{< ref workflow-overview.md >}}) when the [SchedulerReminders]({{< ref support-preview-features.md >}}) preview feature is enabled, and the [Jobs API]({{< ref jobs_api.md >}}).
+Remember that the Scheduler is used for [Actor Reminders]({{< ref actors-timers-reminders.md >}}) & [Workflows]({{< ref workflow-overview.md >}}), and the [Jobs API]({{< ref jobs_api.md >}}).
 You may want to consider reinstalling Dapr with a larger Scheduler storage of at least `16Gi` or more.
 For more information, see the [ETCD Storage Disk Size](#etcd-storage-disk-size) section below.
 {{% /alert %}}
@@ -30,8 +30,8 @@ error running scheduler: etcdserver: mvcc: database space exceeded
 ```
 
 Knowing the safe upper bound for your storage size is not an exact science, and relies heavily on the number, persistence, and the data payload size of your application jobs.
-The [Job API]({{< ref jobs_api.md >}}) and [Actor Reminders]({{< ref actors-timers-reminders.md >}}) (with the [SchedulerReminders]({{< ref support-preview-features.md >}}) preview feature enabled) transparently maps one to one to the usage of your applications.
-Workflows (when the [SchedulerReminders]({{< ref support-preview-features.md >}}) preview feature is enabled) create a large number of jobs as Actor Reminders, however these jobs are short lived- matching the lifecycle of each workflow execution.
+The [Job API]({{< ref jobs_api.md >}}) and [Actor Reminders]({{< ref actors-timers-reminders.md >}}) transparently maps one to one to the usage of your applications.
+Workflows create a large number of jobs as Actor Reminders, however these jobs are short lived- matching the lifecycle of each workflow execution.
 The data payload of jobs created by Workflows is typically empty or small.
 
 The Scheduler uses Etcd as its storage backend database.

daprdocs/content/en/operations/hosting/kubernetes/kubernetes-production.md

@@ -93,7 +93,7 @@ For a new Dapr deployment, HA mode can be set with both:
 - The [Dapr CLI]({{< ref "kubernetes-deploy.md#install-in-highly-available-mode" >}}), and
 - [Helm charts]({{< ref "kubernetes-deploy.md#add-and-install-dapr-helm-chart" >}})
 
-For an existing Dapr deployment, [you can enable HA mode in a few extra steps]({{< ref "#enabling-high-availability-in-an-existing-dapr-deployment" >}}).
+For an existing Dapr deployment, [you can enable HA mode in a few extra steps]({{< ref "#enable-high-availability-in-an-existing-dapr-deployment" >}}).
 
 ### Individual service HA Helm configuration
 
@@ -353,4 +353,4 @@ Watch this video for a deep dive into the best practices for running Dapr in pro
 ## Related links
 
 - [Deploy Dapr on Kubernetes]({{< ref kubernetes-deploy.md >}})
-- [Upgrade Dapr on Kubernetes]({{< ref kubernetes-upgrade.md >}})
+- [Upgrade Dapr on Kubernetes]({{< ref kubernetes-upgrade.md >}})

daprdocs/content/en/reference/api/conversation_api.md

@@ -32,7 +32,7 @@ POST http://localhost:<daprPort>/v1.0-alpha1/conversation/<llm-name>/converse
 | --------- | ----------- |
 | `inputs` | Inputs for the conversation. Multiple inputs at one time are supported. Required |
 | `cacheTTL` | A time-to-live value for a prompt cache to expire. Uses Golang duration format. Optional |
-| `scrubPII` | A boolean value to enable obfuscation of sensitive information returning from the LLM. Optional |
+| `scrubPII` | A boolean value to enable obfuscation of sensitive information returning from the LLM. Set this value if all PII (across contents) in the request needs to be scrubbed. Optional |
 | `temperature` | A float value to control the temperature of the model. Used to optimize for consistency and creativity. Optional |
 | `metadata` | [Metadata](#metadata) passed to conversation components. Optional |
 
@@ -42,7 +42,7 @@ POST http://localhost:<daprPort>/v1.0-alpha1/conversation/<llm-name>/converse
 | --------- | ----------- |
 | `content` | The message content to send to the LLM. Required |
 | `role` | The role for the LLM to assume. Possible values: 'user', 'tool', 'assistant' |
-| `scrubPII` | A boolean value to enable obfuscation of sensitive information present in the content field. Optional |
+| `scrubPII` | A boolean value to enable obfuscation of sensitive information present in the content field. Set this value if PII for this specific content needs to be scrubbed exclusively. Optional |
 
 ### Request content example
 
@@ -89,4 +89,4 @@ RESPONSE  = {
 ## Next steps
 
 - [Conversation API overview]({{< ref conversation-overview.md >}})
-- [Supported conversation components]({{< ref supported-conversation >}})
+- [Supported conversation components]({{< ref supported-conversation >}})

daprdocs/content/en/reference/components-reference/supported-bindings/gcpbucket.md

@@ -58,19 +58,24 @@ The above example uses secrets as plain strings. It is recommended to use a secr
 | Field              | Required | Binding support |  Details | Example |
 |--------------------|:--------:|------------|-----|---------|
 | `bucket` | Y | Output | The bucket name | `"mybucket"` |
-| `type` | Y | Output | Tge GCP credentials type | `"service_account"` |
-| `project_id`     | Y | Output | GCP project id| `projectId`
-| `private_key_id` | Y | Output | GCP private key id | `"privateKeyId"`
-| `private_key`    | Y | Output | GCP credentials private key. Replace with x509 cert | `12345-12345`
-| `client_email`   | Y | Output | GCP client email  | `"client@email.com"`
-| `client_id`      | Y |  Output | GCP client id | `0123456789-0123456789`
-| `auth_uri`       | Y | Output | Google account OAuth endpoint | `https://accounts.google.com/o/oauth2/auth`
-| `token_uri`      | Y | Output | Google account token uri | `https://oauth2.googleapis.com/token`
-| `auth_provider_x509_cert_url` | Y | Output | GCP credentials cert url | `https://www.googleapis.com/oauth2/v1/certs`
-| `client_x509_cert_url` | Y | Output | GCP credentials project x509 cert url | `https://www.googleapis.com/robot/v1/metadata/x509/<PROJECT_NAME>.iam.gserviceaccount.com`
+| `project_id`     | Y | Output | GCP project ID | `projectId` |
+| `type` | N | Output | The GCP credentials type | `"service_account"` |
+| `private_key_id` | N | Output | If using explicit credentials, this field should contain the `private_key_id` field from the service account json document | `"privateKeyId"` |
+| `private_key`    | N | Output | If using explicit credentials, this field should contain the `private_key` field from the service account json. Replace with x509 cert | `12345-12345` |
+| `client_email`   | N | Output | If using explicit credentials, this field should contain the `client_email` field from the service account json  | `"client@email.com"` |
+| `client_id`      | N |  Output | If using explicit credentials, this field should contain the `client_id` field from the service account json | `0123456789-0123456789` |
+| `auth_uri`       | N | Output | If using explicit credentials, this field should contain the `auth_uri` field from the service account json | `https://accounts.google.com/o/oauth2/auth` |
+| `token_uri`      | N | Output | If using explicit credentials, this field should contain the `token_uri` field from the service account json | `https://oauth2.googleapis.com/token`|
+| `auth_provider_x509_cert_url` | N | Output | If using explicit credentials, this field should contain the `auth_provider_x509_cert_url` field from the service account json | `https://www.googleapis.com/oauth2/v1/certs`|
+| `client_x509_cert_url` | N | Output | If using explicit credentials, this field should contain the `client_x509_cert_url` field from the service account json | `https://www.googleapis.com/robot/v1/metadata/x509/<PROJECT_NAME>.iam.gserviceaccount.com`|
 | `decodeBase64` | N | Output | Configuration to decode base64 file content before saving to bucket storage. (In case of saving a file with binary content). `true` is the only allowed positive value. Other positive variations like `"True", "1"` are not acceptable. Defaults to `false` | `true`, `false` |
 | `encodeBase64` | N | Output | Configuration to encode base64 file content before return the content. (In case of opening a file with binary content). `true` is the only allowed positive value. Other positive variations like `"True", "1"` are not acceptable. Defaults to `false` | `true`, `false` |
 
+## GCP Credentials
+
+Since the GCP Storage Bucket component uses the GCP Go Client Libraries, by default it authenticates using **Application Default Credentials**. This is explained further in the [Authenticate to GCP Cloud services using client libraries](https://cloud.google.com/docs/authentication/client-libraries) guide.
+Also, see how to [Set up Application Default Credentials](https://cloud.google.com/docs/authentication/provide-credentials-adc).
+
 ## Binding support
 
 This component supports **output binding** with the following operations:

daprdocs/content/en/reference/components-reference/supported-conversation/local-echo.md

@@ -0,0 +1,28 @@
+---
+type: docs
+title: "Local Testing"
+linkTitle: "Echo"
+description: Detailed information on the echo conversation component used for local testing
+---
+
+## Component format
+
+A Dapr `conversation.yaml` component file has the following structure:
+
+```yaml
+apiVersion: dapr.io/v1alpha1
+kind: Component
+metadata:
+  name: echo
+spec:
+  type: conversation.echo
+  version: v1
+```
+
+{{% alert title="Information" color="warning" %}}
+This component is only meant for local validation and testing of a Conversation component implementation. It does not actually send the data to any LLM but rather echos the input back directly.
+{{% /alert %}}
+
+## Related links
+
+- [Conversation API overview]({{< ref conversation-overview.md >}})

daprdocs/content/en/reference/components-reference/supported-pubsub/setup-gcp-pubsub.md

@@ -76,7 +76,7 @@ The above example uses secrets as plain strings. It is recommended to use a secr
 
 | Field              | Required | Details | Example |
 |--------------------|:--------:|---------|---------|
-| projectId     | Y | GCP project id| `myproject-123`
+| projectId     | Y | GCP project ID | `myproject-123`
 | endpoint       | N  | GCP endpoint for the component to use. Only used for local development (for example) with [GCP Pub/Sub Emulator](https://cloud.google.com/pubsub/docs/emulator). The `endpoint` is unnecessary when running against the GCP production API. | `"http://localhost:8085"`
 | `consumerID`         | N        | The Consumer ID organizes one or more consumers into a group. Consumers with the same consumer ID work as one virtual consumer; for example, a message is processed only once by one of the consumers in the group. If the `consumerID` is not provided, the Dapr runtime set it to the Dapr application ID (`appID`) value. The `consumerID`, along with the `topic` provided as part of the request, are used to build the Pub/Sub subscription ID | Can be set to string value (such as `"channel1"`) or string format value (such as `"{podName}"`, etc.). [See all of template tags you can use in your component metadata.]({{< ref "component-schema.md#templated-metadata-values" >}})
 | identityProjectId | N | If the GCP pubsub project is different from the identity project, specify the identity project using this attribute  | `"myproject-123"`