Bucket chatbot website12/2/2023 ![]() Those state properties define how that information is stored. State is stored as state properties, which are effectively key-value pairs that your bot can read and write through the state management object without worrying about the specific underlying implementation. State management automates the reading and writing of your bot's state to the underlying storage layer. You need to create a new database manually, but skip manually creating a container since CosmosDbPartitionedStorage will create the container for you.įor instructions on how to connect to other storage options, see write directly to storage. Read Partitioning in Azure Cosmos DB for more information.Īlso note that, unlike the legacy Cosmos DB storage, the Cosmos DB partitioned storage doesn't automatically create a database within your Cosmos DB account. ![]() Containers originally created with CosmosDbStorage had no partition key set, and were given the default partition key of "/_partitionKey".Ĭontainers created with Cosmos DB storage can be used with Cosmos DB partitioned storage. The Cosmos DB storage class has been deprecated. Azure Cosmos DB partitioned storage connects to a partitioned Cosmos DB NoSQL database.Azure Blob Storage connects to an Azure Blob Storage object database.The data is cleared each time the bot is restarted. In-memory data storage is intended for local testing only as this storage is volatile and temporary. Memory storage implements in-memory storage for testing purposes.The Bot Framework SDK includes some implementations for the storage layer: ![]() This can be thought of as your physical storage, such as in-memory, Azure, or a third party server. Starting at the backend, where the state information is actually stored, is the storage layer. The flow of this diagram is explained in following sections with details each of these layers. This diagram illustrates parts of the interaction sequence between these layers, with the solid arrows representing a method call, and the dashed arrows representing the response (with or without a return value). State also keeps data for longer than the current turn, so that your bot keeps information over the course of a multi-turn conversation.Īs it pertains to bots, there are a few layers to using state: the storage layer, state management (contained in the bot state in the diagram below), and state property accessors. For example, if you've talked to a user previously, you can save previous information about them, so that you don't have to ask for it again. ![]() Maintaining state allows your bot to have more meaningful conversations by remembering certain things about a user or conversation. For others, state (such as where the conversation left off or data previously received about the user) is necessary for the bot to have a useful conversation. ![]() For some bots, this simplicity is preferred-the bot can either operate without additional information, or the information required is guaranteed to be within the incoming message. State within a bot follows the same paradigms as modern web applications, and the Bot Framework SDK provides some abstractions to make state management easier.Īs with web apps, a bot is inherently stateless a different instance of your bot may handle any given turn of the conversation. ![]()
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