ChatSyncFluentBuilder

aws_sdk_qbusiness::operation::chat_sync::builders

Struct ChatSyncFluentBuilder 

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pub struct ChatSyncFluentBuilder { /* private fields */ }
Expand description

Fluent builder constructing a request to ChatSync.

Starts or continues a non-streaming Amazon Q Business conversation.

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impl ChatSyncFluentBuilder

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pub fn as_input(&self) -> &ChatSyncInputBuilder

Access the ChatSync as a reference.

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pub async fn send( self, ) -> Result<ChatSyncOutput, SdkError<ChatSyncError, HttpResponse>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

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pub fn customize( self, ) -> CustomizableOperation<ChatSyncOutput, ChatSyncError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

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pub fn application_id(self, input: impl Into<String>) -> Self

The identifier of the Amazon Q Business application linked to the Amazon Q Business conversation.

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pub fn set_application_id(self, input: Option<String>) -> Self

The identifier of the Amazon Q Business application linked to the Amazon Q Business conversation.

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pub fn get_application_id(&self) -> &Option<String>

The identifier of the Amazon Q Business application linked to the Amazon Q Business conversation.

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pub fn user_id(self, input: impl Into<String>) -> Self

The identifier of the user attached to the chat input.

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pub fn set_user_id(self, input: Option<String>) -> Self

The identifier of the user attached to the chat input.

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pub fn get_user_id(&self) -> &Option<String>

The identifier of the user attached to the chat input.

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pub fn user_groups(self, input: impl Into<String>) -> Self

Appends an item to userGroups.

To override the contents of this collection use set_user_groups.

The group names that a user associated with the chat input belongs to.

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pub fn set_user_groups(self, input: Option<Vec<String>>) -> Self

The group names that a user associated with the chat input belongs to.

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pub fn get_user_groups(&self) -> &Option<Vec<String>>

The group names that a user associated with the chat input belongs to.

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pub fn user_message(self, input: impl Into<String>) -> Self

A end user message in a conversation.

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pub fn set_user_message(self, input: Option<String>) -> Self

A end user message in a conversation.

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pub fn get_user_message(&self) -> &Option<String>

A end user message in a conversation.

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pub fn attachments(self, input: AttachmentInput) -> Self

Appends an item to attachments.

To override the contents of this collection use set_attachments.

A list of files uploaded directly during chat. You can upload a maximum of 5 files of upto 10 MB each.

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pub fn set_attachments(self, input: Option<Vec<AttachmentInput>>) -> Self

A list of files uploaded directly during chat. You can upload a maximum of 5 files of upto 10 MB each.

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pub fn get_attachments(&self) -> &Option<Vec<AttachmentInput>>

A list of files uploaded directly during chat. You can upload a maximum of 5 files of upto 10 MB each.

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pub fn action_execution(self, input: ActionExecution) -> Self

A request from an end user to perform an Amazon Q Business plugin action.

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pub fn set_action_execution(self, input: Option<ActionExecution>) -> Self

A request from an end user to perform an Amazon Q Business plugin action.

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pub fn get_action_execution(&self) -> &Option<ActionExecution>

A request from an end user to perform an Amazon Q Business plugin action.

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pub fn auth_challenge_response(self, input: AuthChallengeResponse) -> Self

An authentication verification event response by a third party authentication server to Amazon Q Business.

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pub fn set_auth_challenge_response( self, input: Option<AuthChallengeResponse>, ) -> Self

An authentication verification event response by a third party authentication server to Amazon Q Business.

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pub fn get_auth_challenge_response(&self) -> &Option<AuthChallengeResponse>

An authentication verification event response by a third party authentication server to Amazon Q Business.

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pub fn conversation_id(self, input: impl Into<String>) -> Self

The identifier of the Amazon Q Business conversation.

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pub fn set_conversation_id(self, input: Option<String>) -> Self

The identifier of the Amazon Q Business conversation.

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pub fn get_conversation_id(&self) -> &Option<String>

The identifier of the Amazon Q Business conversation.

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pub fn parent_message_id(self, input: impl Into<String>) -> Self

The identifier of the previous system message in a conversation.

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pub fn set_parent_message_id(self, input: Option<String>) -> Self

The identifier of the previous system message in a conversation.

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pub fn get_parent_message_id(&self) -> &Option<String>

The identifier of the previous system message in a conversation.

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pub fn attribute_filter(self, input: AttributeFilter) -> Self

Enables filtering of Amazon Q Business web experience responses based on document attributes or metadata fields.

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pub fn set_attribute_filter(self, input: Option<AttributeFilter>) -> Self

Enables filtering of Amazon Q Business web experience responses based on document attributes or metadata fields.

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pub fn get_attribute_filter(&self) -> &Option<AttributeFilter>

Enables filtering of Amazon Q Business web experience responses based on document attributes or metadata fields.

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pub fn chat_mode(self, input: ChatMode) -> Self

The chatMode parameter determines the chat modes available to Amazon Q Business users:

  • RETRIEVAL_MODE - If you choose this mode, Amazon Q generates responses solely from the data sources connected and indexed by the application. If an answer is not found in the data sources or there are no data sources available, Amazon Q will respond with a "No Answer Found" message, unless LLM knowledge has been enabled. In that case, Amazon Q will generate a response from the LLM knowledge

  • CREATOR_MODE - By selecting this mode, you can choose to generate responses only from the LLM knowledge. You can also attach files and have Amazon Q generate a response based on the data in those files. If the attached files do not contain an answer for the query, Amazon Q will automatically fall back to generating a response from the LLM knowledge.

  • PLUGIN_MODE - By selecting this mode, users can choose to use plugins in chat to get their responses.

If none of the modes are selected, Amazon Q will only respond using the information from the attached files.

For more information, see Admin controls and guardrails, Plugins, and Response sources.

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pub fn set_chat_mode(self, input: Option<ChatMode>) -> Self

The chatMode parameter determines the chat modes available to Amazon Q Business users:

  • RETRIEVAL_MODE - If you choose this mode, Amazon Q generates responses solely from the data sources connected and indexed by the application. If an answer is not found in the data sources or there are no data sources available, Amazon Q will respond with a "No Answer Found" message, unless LLM knowledge has been enabled. In that case, Amazon Q will generate a response from the LLM knowledge

  • CREATOR_MODE - By selecting this mode, you can choose to generate responses only from the LLM knowledge. You can also attach files and have Amazon Q generate a response based on the data in those files. If the attached files do not contain an answer for the query, Amazon Q will automatically fall back to generating a response from the LLM knowledge.

  • PLUGIN_MODE - By selecting this mode, users can choose to use plugins in chat to get their responses.

If none of the modes are selected, Amazon Q will only respond using the information from the attached files.

For more information, see Admin controls and guardrails, Plugins, and Response sources.

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pub fn get_chat_mode(&self) -> &Option<ChatMode>

The chatMode parameter determines the chat modes available to Amazon Q Business users:

  • RETRIEVAL_MODE - If you choose this mode, Amazon Q generates responses solely from the data sources connected and indexed by the application. If an answer is not found in the data sources or there are no data sources available, Amazon Q will respond with a "No Answer Found" message, unless LLM knowledge has been enabled. In that case, Amazon Q will generate a response from the LLM knowledge

  • CREATOR_MODE - By selecting this mode, you can choose to generate responses only from the LLM knowledge. You can also attach files and have Amazon Q generate a response based on the data in those files. If the attached files do not contain an answer for the query, Amazon Q will automatically fall back to generating a response from the LLM knowledge.

  • PLUGIN_MODE - By selecting this mode, users can choose to use plugins in chat to get their responses.

If none of the modes are selected, Amazon Q will only respond using the information from the attached files.

For more information, see Admin controls and guardrails, Plugins, and Response sources.

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pub fn chat_mode_configuration(self, input: ChatModeConfiguration) -> Self

The chat mode configuration for an Amazon Q Business application.

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pub fn set_chat_mode_configuration( self, input: Option<ChatModeConfiguration>, ) -> Self

The chat mode configuration for an Amazon Q Business application.

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pub fn get_chat_mode_configuration(&self) -> &Option<ChatModeConfiguration>

The chat mode configuration for an Amazon Q Business application.

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pub fn client_token(self, input: impl Into<String>) -> Self

A token that you provide to identify a chat request.

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pub fn set_client_token(self, input: Option<String>) -> Self

A token that you provide to identify a chat request.

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pub fn get_client_token(&self) -> &Option<String>

A token that you provide to identify a chat request.

Trait Implementations§

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impl Clone for ChatSyncFluentBuilder

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fn clone(&self) -> ChatSyncFluentBuilder

Returns a duplicate of the value. Read more
1.0.0 · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for ChatSyncFluentBuilder

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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