QConnect#
Client#
- class QConnect.Client#
A low-level client representing Amazon Q Connect
Amazon Q in Connect is a generative AI customer service assistant. It is an LLM-enhanced evolution of Amazon Connect Wisdom that delivers real-time recommendations to help contact center agents resolve customer issues quickly and accurately.
Amazon Q automatically detects customer intent during calls and chats using conversational analytics and natural language understanding (NLU). It then provides agents with immediate, real-time generative responses and suggested actions, and links to relevant documents and articles. Agents can also query Amazon Q directly using natural language or keywords to answer customer requests.
Use the Amazon Q in Connect APIs to create an assistant and a knowledge base, for example, or manage content by uploading custom files.
For more information, see Use Amazon Q in Connect for generative AI powered agent assistance in real-time in the Amazon Connect Administrator Guide.
import boto3 client = boto3.client('qconnect')
These are the available methods:
- can_paginate
- close
- create_assistant
- create_assistant_association
- create_content
- create_knowledge_base
- create_quick_response
- create_session
- delete_assistant
- delete_assistant_association
- delete_content
- delete_import_job
- delete_knowledge_base
- delete_quick_response
- get_assistant
- get_assistant_association
- get_content
- get_content_summary
- get_import_job
- get_knowledge_base
- get_paginator
- get_quick_response
- get_recommendations
- get_session
- get_waiter
- list_assistant_associations
- list_assistants
- list_contents
- list_import_jobs
- list_knowledge_bases
- list_quick_responses
- list_tags_for_resource
- notify_recommendations_received
- query_assistant
- remove_knowledge_base_template_uri
- search_content
- search_quick_responses
- search_sessions
- start_content_upload
- start_import_job
- tag_resource
- untag_resource
- update_content
- update_knowledge_base_template_uri
- update_quick_response
Paginators#
Paginators are available on a client instance via the get_paginator method. For more detailed instructions and examples on the usage of paginators, see the paginators user guide.
The available paginators are: