mirror of https://github.com/dapr/quickstarts.git
Removes 1-15 prefix for docs (#1171)
Signed-off-by: Elena Kolevska <elena@kolevska.com> Co-authored-by: Yaron Schneider <schneider.yaron@live.com>
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Elena Kolevska
GitHub
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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.
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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.
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Visit [this](https://docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
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> **Note:** This example leverages HTTP `requests` only. If you are looking for the example using the Dapr Client SDK (recommended) [click here](../sdk/).
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@ -14,7 +14,7 @@ This quickstart includes one app:
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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 .`.
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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/).
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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/).
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Open a new terminal window and run the multi app run template:
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@ -2,7 +2,7 @@
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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.
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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.
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Visit [this](https://docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
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> **Note:** This example leverages the Dapr SDK. If you are looking for the example using the HTTP API [click here](../http/).
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@ -14,7 +14,7 @@ This quickstart includes one app:
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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 .`.
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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/).
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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/).
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Open a new terminal window and run the multi app run template:
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@ -2,7 +2,7 @@
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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.
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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.
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Visit [this](https://docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
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> **Note:** This example leverages HTTP `requests` only. If you are looking for the example using the Dapr Client SDK (recommended) [click here](../sdk/).
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@ -14,7 +14,7 @@ This quickstart includes one app:
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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 .`.
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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/).
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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/).
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Open a new terminal window and run the multi app run template:
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@ -2,7 +2,7 @@
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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.
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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.
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Visit [this](https://docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
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> **Note:** This example leverages the Dapr SDK. If you are looking for the example using the HTTP API [click here](../http/).
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@ -14,7 +14,7 @@ This quickstart includes one app:
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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 .`.
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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/).
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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/).
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Open a new terminal window and run the multi app run template:
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@ -2,7 +2,7 @@
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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.
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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.
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Visit [this](https://docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
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> **Note:** This example leverages HTTP `requests` only.
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@ -14,7 +14,7 @@ This quickstart includes one app:
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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 .`.
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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/).
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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/).
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1. Install dependencies:
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@ -2,7 +2,7 @@
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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.
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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.
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Visit [this](https://docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
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> **Note:** This example leverages HTTP `requests` only.
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@ -14,7 +14,7 @@ This quickstart includes one app:
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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 .`.
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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/).
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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/).
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1. Install dependencies:
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@ -2,7 +2,7 @@
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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.
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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.
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Visit [this](https://docs.dapr.io/developing-applications/building-blocks/conversation/conversation-overview/) link for more information about Dapr and the Conversation API.
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This quickstart includes one app:
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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 .`.
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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/).
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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/).
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1. Install dependencies:
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8. The `NotifyActivity` workflow activity sends a notification saying that order `571a6e25` has completed.
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9. The workflow terminates as completed and the OrderResult is set to processed.
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> **Note:** This quickstart uses an OrderPayload of one car with a total cost of $5000. Since the total order cost is not over 5000, the workflow will not call the `RequestApprovalActivity` activity nor wait for an approval event. Since the quickstart is a console application, it can't accept incoming events easily. If you want to test this scenario, convert the console app to a service and use the [raise event API](https://v1-15.docs.dapr.io/reference/api/workflow_api/#raise-event-request) via HTTP/gRPC or via the Dapr Workflow client to send an event to the workflow instance.
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> **Note:** This quickstart uses an OrderPayload of one car with a total cost of $5000. Since the total order cost is not over 5000, the workflow will not call the `RequestApprovalActivity` activity nor wait for an approval event. Since the quickstart is a console application, it can't accept incoming events easily. If you want to test this scenario, convert the console app to a service and use the [raise event API](https://docs.dapr.io/reference/api/workflow_api/#raise-event-request) via HTTP/gRPC or via the Dapr Workflow client to send an event to the workflow instance.
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8. The `NotifyActivity` workflow activity sends a notification saying that order `b4cb2687-1af0-4f8d-9659-eb6389c07ade` has completed.
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9. The workflow terminates as completed and the OrderResult is set to processed.
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> **Note:** This quickstart uses an OrderPayload of one car with a total cost of $5000. Since the total order cost is not over 5000, the workflow will not call the `RequestApprovalActivity` activity nor wait for an approval event. Since the quickstart is a console application, it can't accept incoming events easily. If you want to test this scenario, convert the console app to a service and use the [raise event API](https://v1-15.docs.dapr.io/reference/api/workflow_api/#raise-event-request) via HTTP/gRPC or via the Dapr Workflow client to send an event to the workflow instance.
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> **Note:** This quickstart uses an OrderPayload of one car with a total cost of $5000. Since the total order cost is not over 5000, the workflow will not call the `RequestApprovalActivity` activity nor wait for an approval event. Since the quickstart is a console application, it can't accept incoming events easily. If you want to test this scenario, convert the console app to a service and use the [raise event API](https://docs.dapr.io/reference/api/workflow_api/#raise-event-request) via HTTP/gRPC or via the Dapr Workflow client to send an event to the workflow instance.
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8. The `NotifyActivity` workflow activity sends a notification saying that order `d1bf548b-c854-44af-978e-90c61ed88e3c` has completed.
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9. The workflow terminates as completed and the orderResult is set to processed.
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> **Note:** This quickstart uses an OrderPayload of one car with a total cost of $5000. Since the total order cost is not over 5000, the workflow will not call the `RequestApprovalActivity` activity nor wait for an approval event. Since the quickstart is a console application, it can't accept incoming events easily. If you want to test this scenario, convert the console app to a service and use the [raise event API](https://v1-15.docs.dapr.io/reference/api/workflow_api/#raise-event-request) via HTTP/gRPC or via the Dapr Workflow client to send an event to the workflow instance.
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> **Note:** This quickstart uses an OrderPayload of one car with a total cost of $5000. Since the total order cost is not over 5000, the workflow will not call the `RequestApprovalActivity` activity nor wait for an approval event. Since the quickstart is a console application, it can't accept incoming events easily. If you want to test this scenario, convert the console app to a service and use the [raise event API](https://docs.dapr.io/reference/api/workflow_api/#raise-event-request) via HTTP/gRPC or via the Dapr Workflow client to send an event to the workflow instance.
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@ -174,4 +174,4 @@ When you ran `dapr run -f .`
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8. The `notifyActivity` workflow activity sends a notification saying that order `f5087775-779c-4e73-ac77-08edfcb375f4` has completed and processed.
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9. The workflow terminates as completed and processed.
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> **Note:** This quickstart uses an OrderPayload of one car with a total cost of $5000. Since the total order cost is not over 5000, the workflow will not call the `requestApprovalActivity` activity nor wait for an approval event. The dapr.yaml multi-app run file starts a console application and can't accept incoming events easily. The dapr-AppWithDaprServer.yaml and dapr-AppWithExpressServer.yaml files start a service that can accept incoming events. Use the [raise event API](https://v1-15.docs.dapr.io/reference/api/workflow_api/#raise-event-request) via HTTP/gRPC or via the Dapr Workflow client in the server apps to send an event to the workflow.
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> **Note:** This quickstart uses an OrderPayload of one car with a total cost of $5000. Since the total order cost is not over 5000, the workflow will not call the `requestApprovalActivity` activity nor wait for an approval event. The dapr.yaml multi-app run file starts a console application and can't accept incoming events easily. The dapr-AppWithDaprServer.yaml and dapr-AppWithExpressServer.yaml files start a service that can accept incoming events. Use the [raise event API](https://docs.dapr.io/reference/api/workflow_api/#raise-event-request) via HTTP/gRPC or via the Dapr Workflow client in the server apps to send an event to the workflow.
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8. The `notify_activity` workflow activity sends a notification saying that order `fc8a507e4a2246d2917d3ad4e3111240` has completed.
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9. The workflow terminates as completed and the OrderResult is set to processed.
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> **Note:** This quickstart uses an OrderPayload of one car with a total cost of $5000. Since the total order cost is not over 5000, the workflow will not call the `request_approval_activity` activity nor wait for an approval event. Since the quickstart is a console application, it can't accept incoming events easily. If you want to test this scenario, convert the console app to a service and use the [raise event API](https://v1-15.docs.dapr.io/reference/api/workflow_api/#raise-event-request) via HTTP/gRPC or via the Dapr Workflow client to send an event to the workflow instance.
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> **Note:** This quickstart uses an OrderPayload of one car with a total cost of $5000. Since the total order cost is not over 5000, the workflow will not call the `request_approval_activity` activity nor wait for an approval event. Since the quickstart is a console application, it can't accept incoming events easily. If you want to test this scenario, convert the console app to a service and use the [raise event API](https://docs.dapr.io/reference/api/workflow_api/#raise-event-request) via HTTP/gRPC or via the Dapr Workflow client to send an event to the workflow instance.
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