AWS connect documentation change
Summary
Updated documentation for AI prompts in Amazon Connect, including product name changes from 'Amazon Q in Connect' to 'Amazon Connect', new AI prompt types (Orchestration, Note taking, Case Summarization), updated permission requirements, revised model support tables, and updated CLI command placeholders.
Security assessment
The changes involve rebranding, feature updates, and documentation improvements without any evidence of security vulnerability fixes, security incident references, or new security controls. Permission changes are administrative updates rather than security patches.
Diff
diff --git a/connect/latest/adminguide/create-ai-prompts.md b/connect/latest/adminguide/create-ai-prompts.md index 9a4b34467..719a1f06b 100644 --- a//connect/latest/adminguide/create-ai-prompts.md +++ b//connect/latest/adminguide/create-ai-prompts.md @@ -11 +11 @@ An _AI prompt_ is a task for the large language model (LLM) to do. It provides a -Amazon Q in Connect includes a set of default system AI prompts that power the out-of-the-box recommendations experience in the agent workspace. You can copy these default prompts to create your own new AI prompts. +Amazon Connect includes a set of default system AI prompts that power the out-of-the-box recommendations experience in the agent workspace. You can copy these default prompts to create your own new AI prompts. @@ -13 +13 @@ Amazon Q in Connect includes a set of default system AI prompts that power the o -To make it easy for non-developers to create AI prompts, Amazon Q in Connect provides a set of templates that already contain instructions. You can use these templates to create new AI prompts. The templates contain placeholder text written in an easy-to-understand language called YAML. Just replace the placeholder text with your own instructions. +To make it easy for non-developers to create AI prompts, Amazon Connect provides a set of templates that already contain instructions. You can use these templates to create new AI prompts. The templates contain placeholder text written in an easy-to-understand language called YAML. Just replace the placeholder text with your own instructions. @@ -44 +44 @@ Your first step is to choose the type of prompt you want to create. Each type pr - 1. Log in to the Amazon Connect admin website at https://`instance name`.my.connect.aws/. Use an admin account, or an account with **Amazon Q** \- **AI prompts** \- **Create** permission in it's security profile. + 1. Log in to the Amazon Connect admin website at https://`instance name`.my.connect.aws/. Use an admin account, or an account with **AI agent designer** \- **AI prompts** \- **Create** permission in it's security profile. @@ -46 +46 @@ Your first step is to choose the type of prompt you want to create. Each type pr - 2. On the navigation menu, choose **Amazon Q** , **AI prompts**. + 2. On the navigation menu, choose **AI agent designer** , **AI prompts**. @@ -54 +54 @@ Your first step is to choose the type of prompt you want to create. Each type pr - * **Answer generation** : Generates a solution to a query by making use of knowledge base excerpts. The query is generated using the **Query reformulation** AI prompt. + * **Orchestration** : Orchestrates different use cases as per customer needs. @@ -56 +56,3 @@ Your first step is to choose the type of prompt you want to create. Each type pr - * **Intent labeling generation** : Generates intents for the customer service interaction. These intents are displayed in the Amazon Q in Connect widget in the agent workspace so agents can select them. + * **Answer generation** : Generates a solution to a query by making use of knowledge base excerpts. + + * **Intent labelling generation** : Generates intents for the customer service interaction - these intents are displayed in the Connect assistant widget for selection by agents. @@ -60 +62,7 @@ Your first step is to choose the type of prompt you want to create. Each type pr - * **Self-service pre-processing** : Generates a solution to a query by making use of knowledge base excerpts. The query is generated using the **Self-service pre-processing** AI prompt when the QUESTION tool is selected. + * **Self-service pre-processing** : Evaluates the conversation and selects the corresponding tool to generate a response. + + * **Self-service answer generation** : Generates a solution to a query by making use of knowledge base excerpts. + + * **Email response** : Facilitates sending an email response of a conversation script to the end customer. + + * **Email overview** : Provides an overview of email content. @@ -62 +70 @@ Your first step is to choose the type of prompt you want to create. Each type pr - * **Self-service answer generation** + * **Email generative answer** : Generates answers for email responses. @@ -64 +72 @@ Your first step is to choose the type of prompt you want to create. Each type pr - * **Email response** : An AI agent that facilitates sending an email response of a conversation script to the end customer. + * **Email query reformulation** : Reformulates query for email responses. @@ -66 +74 @@ Your first step is to choose the type of prompt you want to create. Each type pr - * **Email overview** : An AI agent that provides an overview of email content. + * **Note taking** : Generates concise, structured, and actionable notes in real time based on live customer conversations and contextual data. @@ -68 +76 @@ Your first step is to choose the type of prompt you want to create. Each type pr - * **Email generative answer** : An AI agent that generates answers for email responses. + * **Case Summarization** : Summarizes a case. @@ -128 +136 @@ When you're ready for the prompt to be available for use, choose **Publish**. Th -Because Amazon Q in Connect uses templates, you don't need to know much about YAML to get started. However, if you want to write an AI prompt from scratch, or delete portions of the placeholder text provided for you, here are some things you need to know. +Because AI prompts use templates, you don't need to know much about YAML to get started. However, if you want to write an AI prompt from scratch, or delete portions of the placeholder text provided for you, here are some things you need to know. @@ -130 +138 @@ Because Amazon Q in Connect uses templates, you don't need to know much about YA - * Amazon Q in Connect supports two formats: `MESSAGES` and `TEXT_COMPLETIONS`. The format dictates which fields are required and optional in the AI prompt. + * AI prompts support two formats: `MESSAGES` and `TEXT_COMPLETIONS`. The format dictates which fields are required and optional in the AI prompt. @@ -176 +184 @@ The following JSON schema objects are supported: -For example, the following AI prompt instructs Amazon Q in Connect to construct appropriate queries. The second line of the AI prompt shows that the format is `messages`. +For example, the following AI prompt instructs the AI agent to construct appropriate queries. The second line of the AI prompt shows that the format is `messages`. @@ -437 +445 @@ A _variable_ is placeholder for dynamic input in an AI prompt. The value of the -When you create AI prompt instructions, you can add variables that use system data that Amazon Q in Connect provides, or [custom data](./custom-data-q.html). +When you create AI prompt instructions, you can add variables that use system data that Amazon Connect provides, or [custom data](./ai-agent-session.html). @@ -446,2 +454,2 @@ System variable | {{$.locale}} | Defines the locale to be used for the input -System variable | {{$.query}} | Inserts the query constructed by Amazon Q in Connect to find document excerpts within the knowledge base so the query can be included in the instructions that are sent to the LLM. -Customer provided variable | {{$.Custom.<VARIABLE_NAME>}} | Inserts any customer provided value that is added to an Amazon Q in Connect session so that value can be included in the instructions that are sent to the LLM. +System variable | {{$.query}} | Inserts the query constructed by a Connect AI agent to find document excerpts within the knowledge base so the query can be included in the instructions that are sent to the LLM. +Customer provided variable | {{$.Custom.<VARIABLE_NAME>}} | Inserts any customer provided value that is added to a Amazon Connect session so that value can be included in the instructions that are sent to the LLM. @@ -479,9 +487,9 @@ The following table lists the supported models for prompt caching. For token req -Supported Models for Prompt Caching Model name | Model ID ----|--- -Claude Opus 4 | us.anthropic.claude-opus-4-20250514-v1:0 -Claude Sonnet 4 | us.anthropic.claude-sonnet-4-20250514-v1:0 eu.anthropic.claude-sonnet-4-20250514-v1:0 apac.anthropic.claude-sonnet-4-20250514-v1:0 -Claude 3.7 Sonnet | us.anthropic.claude-3-7-sonnet-20250219-v1:0 eu.anthropic.claude-3-7-sonnet-20250219-v1:0 -Claude 3.5 Haiku | anthropic.claude-3-5-haiku-20241022-v1:0 us.anthropic.claude-3-5-haiku-20241022-v1:0 -Amazon Nova Pro | us.amazon.nova-pro-v1:0 eu.amazon.nova-pro-v1:0 apac.amazon.nova-pro-v1:0 -Amazon Nova Lite | us.amazon.nova-lite-v1:0 apac.amazon.nova-lite-v1:0 apac.amazon.nova-lite-v1:0 -Amazon Nova Micro | us.amazon.nova-micro-v1:0 eu.amazon.nova-micro-v1:0 apac.amazon.nova-micro-v1:0 +Supported Models for Prompt Caching Model ID +--- +us.anthropic.claude-opus-4-20250514-v1:0 +us.anthropic.claude-sonnet-4-20250514-v1:0 eu.anthropic.claude-sonnet-4-20250514-v1:0 apac.anthropic.claude-sonnet-4-20250514-v1:0 +us.anthropic.claude-3-7-sonnet-20250219-v1:0 eu.anthropic.claude-3-7-sonnet-20250219-v1:0 +anthropic.claude-3-5-haiku-20241022-v1:0 us.anthropic.claude-3-5-haiku-20241022-v1:0 +us.amazon.nova-pro-v1:0 eu.amazon.nova-pro-v1:0 apac.amazon.nova-pro-v1:0 +us.amazon.nova-lite-v1:0 apac.amazon.nova-lite-v1:0 apac.amazon.nova-lite-v1:0 +us.amazon.nova-micro-v1:0 eu.amazon.nova-micro-v1:0 apac.amazon.nova-micro-v1:0 @@ -491,13 +499,29 @@ Amazon Nova Micro | us.amazon.nova-micro-v1:0 eu.amazon.nova-micro-v1:0 apac.am -After you create the YAML files for the AI prompt, you can choose **Publish** on the **AI Prompt builder** page, or call the [CreateAIPrompt](https://docs.aws.amazon.com/connect/latest/APIReference/API_amazon-q-connect_CreateAIPrompt.html) API to create the prompt. Amazon Q in Connect currently supports the following LLM models for a particular AWS Region. Some LLM model options support cross-region inference, which can improve performance and availability. Refer to the following table to see which models include cross-region inference support. For more information, see [Cross-region inference service](./enable-q.html#enable-q-cross-region-inference-service). - -**Region** | **System Models Used** | **Models supported by system and custom prompts** ----|---|--- -IAD (us-east-1) | us.anthropic.claude-3-7-sonnet-20250219-v1:0 - AgentAssistant RAG us.amazon.nova-pro-v1:0 - SelfService RAG us.amazon.nova-lite-v1:0 - Non RAG us.amazon.nova-pro-v1:0 - Self service preprocessing | anthropic.claude-3-haiku-20240307-v1:0 us.anthropic.claude-3-haiku-20240307-v1:0 (Cross-Region) us.anthropic.claude-3-5-haiku-20241022-v1:0 (Cross-Region) us.anthropic.claude-3-7-sonnet-20250219-v1:0 (Cross-Region) us.anthropic.claude-sonnet-4-20250514-v1:0 (Cross-Region) us.amazon.nova-pro-v1:0 (Cross-Region) us.amazon.nova-lite-v1:0 (Cross-Region) us.amazon.nova-micro-v1:0 (Cross-Region) -PDX (us-west-2) | us.anthropic.claude-3-7-sonnet-20250219-v1:0 - AgentAssistant RAG us.amazon.nova-pro-v1:0 - SelfService RAG us.amazon.nova-lite-v1:0 - Non RAG us.amazon.nova-pro-v1:0 - Self service preprocessing | anthropic.claude-3-haiku-20240307-v1:0 us.anthropic.claude-3-haiku-20240307-v1:0 (Cross-Region) us.anthropic.claude-3-5-haiku-20241022-v1:0 (Cross-Region) us.anthropic.claude-3-7-sonnet-20250219-v1:0 (Cross-Region) us.anthropic.claude-sonnet-4-20250514-v1:0 (Cross-Region) us.amazon.nova-pro-v1:0 (Cross-Region) us.amazon.nova-lite-v1:0 (Cross-Region) us.amazon.nova-micro-v1:0 (Cross-Region) -YUL (ca-central-1) | anthropic.claude-3-haiku-20240307-v1:0 | anthropic.claude-3-haiku-20240307-v1:0 -LHR (eu-west-2) | anthropic.claude-3-7-sonnet-20250219-v1:0 - AgentAssistant RAG anthropic.claude-3-haiku-20240307-v1:0 - SelfService RAG anthropic.claude-3-haiku-20240307-v1:0 - Non RAG anthropic.claude-3-haiku-20240307-v1:0 - Self service preprocessing | anthropic.claude-3-haiku-20240307-v1:0 anthropic.claude-3-7-sonnet-20250219-v1:0 -FRA (eu-central-1) | eu.anthropic.claude-3-7-sonnet-20250219-v1:0 - AgentAssistant RAG eu.amazon.nova-pro-v1:0 - SelfService RAG eu.amazon.nova-lite-v1:0 - Non RAG eu.amazon.nova-pro-v1:0 - Self service preprocessing | anthropic.claude-3-haiku-20240307-v1:0 eu.anthropic.claude-3-haiku-20240307-v1:0 (Cross-Region) eu.anthropic.claude-3-7-sonnet-20250219-v1:0 (Cross-Region) eu.anthropic.claude-sonnet-4-20250514-v1:0 (Cross-Region) eu.amazon.nova-pro-v1:0 (Cross-Region) eu.amazon.nova-lite-v1:0 (Cross-Region) eu.amazon.nova-micro-v1:0 (Cross-Region) -NRT (ap-northeast-1) | apac.anthropic.claude-3-5-sonnet-20241022-v2:0 - AgentAssistant RAG apac.amazon.nova-pro-v1:0 - SelfService RAG apac.amazon.nova-lite-v1:0 - Non RAG apac.amazon.nova-pro-v1:0 - Self service preprocessing | anthropic.claude-3-haiku-20240307-v1:0 apac.anthropic.claude-3-haiku-20240307-v1:0 (Cross-Region) apac.anthropic.claude-3-5-sonnet-20241022-v2:0 (Cross-Region) apac.anthropic.claude-sonnet-4-20250514-v1:0 (Cross-Region) apac.amazon.nova-pro-v1:0 (Cross-Region) apac.amazon.nova-lite-v1:0 (Cross-Region) apac.amazon.nova-micro-v1:0 (Cross-Region) -SIN (ap-southeast-1) | apac.anthropic.claude-3-5-sonnet-20241022-v2:0 - AgentAssistant RAG apac.amazon.nova-pro-v1:0 - SelfService RAG apac.amazon.nova-lite-v1:0 - Non RAG apac.amazon.nova-pro-v1:0 - Self service preprocessing | anthropic.claude-3-haiku-20240307-v1:0 apac.anthropic.claude-3-haiku-20240307-v1:0 (Cross-Region) apac.anthropic.claude-3-5-sonnet-20241022-v2:0 (Cross-Region) apac.anthropic.claude-sonnet-4-20250514-v1:0 (Cross-Region) apac.amazon.nova-pro-v1:0 (Cross-Region) apac.amazon.nova-lite-v1:0 (Cross-Region) apac.amazon.nova-micro-v1:0 (Cross-Region) -SYD (ap-southeast-2) | apac.anthropic.claude-3-5-sonnet-20241022-v2:0 - AgentAssistant RAG apac.amazon.nova-pro-v1:0 - SelfService RAG apac.amazon.nova-lite-v1:0 - Non RAG apac.amazon.nova-pro-v1:0 - Self service preprocessing | anthropic.claude-3-haiku-20240307-v1:0 apac.anthropic.claude-3-haiku-20240307-v1:0 (Cross-Region) apac.anthropic.claude-3-5-sonnet-20241022-v2:0 (Cross-Region) apac.anthropic.claude-sonnet-4-20250514-v1:0 (Cross-Region) apac.amazon.nova-pro-v1:0 (Cross-Region) apac.amazon.nova-lite-v1:0 (Cross-Region) apac.amazon.nova-micro-v1:0 (Cross-Region) -ICN (ap-northeast-2) | apac.anthropic.claude-3-5-sonnet-20241022-v2:0 - AgentAssistant RAG apac.amazon.nova-pro-v1:0 - SelfService RAG apac.amazon.nova-lite-v1:0 - Non RAG apac.amazon.nova-pro-v1:0 - Self service preprocessing | anthropic.claude-3-haiku-20240307-v1:0 apac.anthropic.claude-3-haiku-20240307-v1:0 (Cross-Region) apac.anthropic.claude-3-5-sonnet-20241022-v2:0 (Cross-Region) apac.anthropic.claude-sonnet-4-20250514-v1:0 (Cross-Region) apac.amazon.nova-pro-v1:0 (Cross-Region) apac.amazon.nova-lite-v1:0 (Cross-Region) apac.amazon.nova-micro-v1:0 (Cross-Region) +After you create the YAML files for the AI prompt, you can choose **Publish** on the **AI Prompt builder** page, or call the [CreateAIPrompt](https://docs.aws.amazon.com/connect/latest/APIReference/API_amazon-q-connect_CreateAIPrompt.html) API to create the prompt. Amazon Connect currently supports the following LLM models for a particular AWS Region. Some LLM model options support cross-region inference, which can improve performance and availability. Refer to the following table to see which models include cross-region inference support. For more information, see [Cross-region inference service](./ai-agent-initial-setup.html#enable-ai-agents-cross-region-inference-service). + +Models used by system prompts **System prompt** | **us-east-1, us-west-2** | **ca-central-1** | **eu-west-2** | **eu-central-1** | **ap-northeast-1, ap-northeast-2, ap-southeast-1, ap-southeast-2** +---|---|---|---|---|--- +AgentAssistanceOrchestration | us.anthropic.claude-4-5-sonnet-20250929-v1:0 (Cross-Region) | global.anthropic.claude-4-5-sonnet-20250929-v1:0 | eu.anthropic.claude-4-5-sonnet-20250929-v1:0 (Cross-Region) | eu.anthropic.claude-4-5-sonnet-20250929-v1:0 (Cross-Region) | global.anthropic.claude-4-5-sonnet-20250929-v1:0 (Global CRIS) +AnswerGeneration | us.anthropic.claude-3-7-sonnet-20250219-v1:0 (Cross-Region) | anthropic.claude-3-haiku-20240307-v1:0 | anthropic.claude-3-7-sonnet-20250219-v1:0 | eu.anthropic.claude-3-7-sonnet-20250219-v1:0 (Cross-Region) | apac.anthropic.claude-3-5-sonnet-20241022-v2:0 (Cross-Region) +CaseSummarization | us.anthropic.claude-sonnet-4-20250514-v1:0 (Cross-Region) | global.anthropic.claude-4-5-haiku-20251001-v1:0 (Global CRIS) | anthropic.claude-3-7-sonnet-20250219-v1:0 | eu.anthropic.claude-sonnet-4-20250514-v1:0 (Cross-Region) | apac.anthropic.claude-sonnet-4-20250514-v1:0 (Cross-Region) +EmailGenerativeAnswer | us.anthropic.claude-3-7-sonnet-20250219-v1:0 (Cross-Region) | anthropic.claude-3-haiku-20240307-v1:0 | anthropic.claude-3-7-sonnet-20250219-v1:0 | eu.anthropic.claude-3-7-sonnet-20250219-v1:0 (Cross-Region) | apac.anthropic.claude-3-5-sonnet-20241022-v2:0 (Cross-Region) +EmailOverview | us.anthropic.claude-3-7-sonnet-20250219-v1:0 (Cross-Region) | anthropic.claude-3-haiku-20240307-v1:0 | anthropic.claude-3-7-sonnet-20250219-v1:0 | eu.anthropic.claude-3-7-sonnet-20250219-v1:0 (Cross-Region) | apac.anthropic.claude-3-5-sonnet-20241022-v2:0 (Cross-Region) +EmailQueryReformulation | us.anthropic.claude-3-7-sonnet-20250219-v1:0 (Cross-Region) | anthropic.claude-3-haiku-20240307-v1:0 | anthropic.claude-3-7-sonnet-20250219-v1:0 | eu.anthropic.claude-3-7-sonnet-20250219-v1:0 (Cross-Region) | apac.anthropic.claude-3-5-sonnet-20241022-v2:0 (Cross-Region) +EmailResponse | us.anthropic.claude-3-7-sonnet-20250219-v1:0 (Cross-Region) | anthropic.claude-3-haiku-20240307-v1:0 | anthropic.claude-3-7-sonnet-20250219-v1:0 | eu.anthropic.claude-3-7-sonnet-20250219-v1:0 (Cross-Region) | apac.anthropic.claude-3-5-sonnet-20241022-v2:0 (Cross-Region) +IntentLabelingGeneration | us.amazon.nova-pro-v1:0 (Cross-Region) | anthropic.claude-3-haiku-20240307-v1:0 | amazon.nova-pro-v1:0 | eu.amazon.nova-pro-v1:0 (Cross-Region) | apac.amazon.nova-pro-v1:0 (Cross-Region) +NoteTaking | us.anthropic.claude-4-5-haiku-20251001-v1:0 (Cross-Region) | global.anthropic.claude-4-5-haiku-20251001-v1:0 (Global CRIS) | global.anthropic.claude-4-5-haiku-20251001-v1:0 (Global CRIS) | global.anthropic.claude-4-5-haiku-20251001-v1:0 (Global CRIS) | global.anthropic.claude-4-5-haiku-20251001-v1:0 (Global CRIS) +QueryReformulation | us.amazon.nova-lite-v1:0 (Cross-Region) | anthropic.claude-3-haiku-20240307-v1:0 | amazon.nova-lite-v1:0 | eu.amazon.nova-lite-v1:0 (Cross-Region) | apac.amazon.nova-lite-v1:0 (Cross-Region) +SalesAgent | us.anthropic.claude-4-5-haiku-20251001-v1:0 (Cross-Region) | global.anthropic.claude-4-5-haiku-20251001-v1:0 | global.anthropic.claude-4-5-haiku-20251001-v1:0 (Global CRIS) | global.anthropic.claude-4-5-haiku-20251001-v1:0 (Global CRIS) | global.anthropic.claude-4-5-haiku-20251001-v1:0 (Global CRIS) +SelfServiceAnswerGeneration | us.amazon.nova-pro-v1:0 (Cross-Region) | anthropic.claude-3-haiku-20240307-v1:0 | amazon.nova-pro-v1:0 | eu.amazon.nova-pro-v1:0 (Cross-Region) | apac.amazon.nova-pro-v1:0 (Cross-Region) +SelfServiceOrchestration | us.anthropic.claude-4-5-haiku-20251001-v1:0 (Cross-Region) | global.anthropic.claude-4-5-haiku-20251001-v1:0 | eu.anthropic.claude-4-5-haiku-20251001-v1:0 (Cross-Region) | eu.anthropic.claude-4-5-haiku-20251001-v1:0 (Cross-Region) | apac.amazon.nova-pro-v1:0 (Cross-Region) +SelfServicePreProcessing | us.amazon.nova-pro-v1:0 (Cross-Region) | anthropic.claude-3-haiku-20240307-v1:0 | amazon.nova-pro-v1:0 | eu.amazon.nova-pro-v1:0 (Cross-Region) | apac.amazon.nova-pro-v1:0 (Cross-Region) + +Models supported by custom prompts **Region** | **Supported models** +---|--- +us-east-1, us-west-2 | us.anthropic.claude-3-5-haiku-20241022-v1:0 (Cross-Region) us.amazon.nova-pro-v1:0 (Cross-Region) us.amazon.nova-lite-v1:0 (Cross-Region) us.amazon.nova-micro-v1:0 (Cross-Region) us.anthropic.claude-3-7-sonnet-20250219-v1:0 (Cross-Region) us.anthropic.claude-3-haiku-20240307-v1:0 (Cross-Region) us.anthropic.claude-sonnet-4-20250514-v1:0 (Cross-Region) us.anthropic.claude-4-5-haiku-20251001-v1:0 (Cross-Region) us.anthropic.claude-4-5-sonnet-20250929-v1:0 (Cross-Region) global.anthropic.claude-4-5-haiku-20251001-v1:0 (Global CRIS) global.anthropic.claude-4-5-sonnet-20250929-v1:0 (Global CRIS) anthropic.claude-3-haiku-20240307-v1:0 us.openai.gpt-oss-20b-v1:0 us.openai.gpt-oss-120b-v1:0 +ca-central-1 | global.anthropic.claude-4-5-haiku-20251001-v1:0 (Global CRIS) global.anthropic.claude-4-5-sonnet-20250929-v1:0 (Global CRIS) anthropic.claude-3-haiku-20240307-v1:0 +eu-west-2 | eu.anthropic.claude-4-5-haiku-20251001-v1:0 (Cross-Region) eu.anthropic.claude-4-5-sonnet-20250929-v1:0 (Cross-Region) global.anthropic.claude-4-5-haiku-20251001-v1:0 (Global CRIS) global.anthropic.claude-4-5-sonnet-20250929-v1:0 (Global CRIS) anthropic.claude-3-haiku-20240307-v1:0 eu.amazon.nova-pro-v1:0 eu.amazon.nova-lite-v1:0 anthropic.claude-3-7-sonnet-20250219-v1:0 eu.openai.gpt-oss-20b-v1:0 eu.openai.gpt-oss-120b-v1:0 +eu-central-1 | eu.amazon.nova-pro-v1:0 (Cross-Region) eu.amazon.nova-lite-v1:0 (Cross-Region) eu.amazon.nova-micro-v1:0 (Cross-Region) eu.anthropic.claude-3-7-sonnet-20250219-v1:0 (Cross-Region) eu.anthropic.claude-3-haiku-20240307-v1:0 (Cross-Region) eu.anthropic.claude-sonnet-4-20250514-v1:0 (Cross-Region) eu.anthropic.claude-4-5-haiku-20251001-v1:0 (Cross-Region) eu.anthropic.claude-4-5-sonnet-20250929-v1:0 (Cross-Region) global.anthropic.claude-4-5-haiku-20251001-v1:0 (Global CRIS) global.anthropic.claude-4-5-sonnet-20250929-v1:0 (Global CRIS) anthropic.claude-3-haiku-20240307-v1:0 eu.openai.gpt-oss-20b-v1:0 eu.openai.gpt-oss-120b-v1:0 +ap-northeast-1 | apac.amazon.nova-pro-v1:0 (Cross-Region) apac.amazon.nova-lite-v1:0 (Cross-Region) apac.amazon.nova-micro-v1:0 (Cross-Region) apac.anthropic.claude-3-5-sonnet-20241022-v2:0 (Cross-Region) apac.anthropic.claude-3-haiku-20240307-v1:0 (Cross-Region) apac.anthropic.claude-sonnet-4-20250514-v1:0 (Cross-Region) global.anthropic.claude-4-5-haiku-20251001-v1:0 (Global CRIS) global.anthropic.claude-4-5-sonnet-20250929-v1:0 (Global CRIS) anthropic.claude-3-haiku-20240307-v1:0 apac.openai.gpt-oss-20b-v1:0 apac.openai.gpt-oss-120b-v1:0 +ap-northeast-2 | apac.amazon.nova-pro-v1:0 (Cross-Region) apac.amazon.nova-lite-v1:0 (Cross-Region) apac.amazon.nova-micro-v1:0 (Cross-Region) apac.anthropic.claude-3-5-sonnet-20241022-v2:0 (Cross-Region) apac.anthropic.claude-3-haiku-20240307-v1:0 (Cross-Region) apac.anthropic.claude-sonnet-4-20250514-v1:0 (Cross-Region) global.anthropic.claude-4-5-haiku-20251001-v1:0 (Global CRIS) global.anthropic.claude-4-5-sonnet-20250929-v1:0 (Global CRIS) anthropic.claude-3-haiku-20240307-v1:0 +ap-southeast-1 | apac.amazon.nova-pro-v1:0 (Cross-Region) apac.amazon.nova-lite-v1:0 (Cross-Region) apac.amazon.nova-micro-v1:0 (Cross-Region) apac.anthropic.claude-3-5-sonnet-20241022-v2:0 (Cross-Region) apac.anthropic.claude-3-haiku-20240307-v1:0 (Cross-Region) apac.anthropic.claude-sonnet-4-20250514-v1:0 (Cross-Region) global.anthropic.claude-4-5-haiku-20251001-v1:0 (Global CRIS) global.anthropic.claude-4-5-sonnet-20250929-v1:0 (Global CRIS) anthropic.claude-3-haiku-20240307-v1:0 +ap-southeast-2 | apac.amazon.nova-pro-v1:0 (Cross-Region) apac.amazon.nova-lite-v1:0 (Cross-Region) apac.amazon.nova-micro-v1:0 (Cross-Region) apac.anthropic.claude-3-5-sonnet-20241022-v2:0 (Cross-Region) apac.anthropic.claude-3-haiku-20240307-v1:0 (Cross-Region) apac.anthropic.claude-sonnet-4-20250514-v1:0 (Cross-Region) global.anthropic.claude-4-5-haiku-20251001-v1:0 (Global CRIS) global.anthropic.claude-4-5-sonnet-20250929-v1:0 (Global CRIS) anthropic.claude-3-haiku-20240307-v1:0 amazon.nova-pro-v1:0 @@ -510 +534 @@ For the `MESSAGES` format, invoke the API by using the following AWS CLI command - --assistant-id <YOUR_Q_IN_CONNECT_ASSISTANT_ID> \ + --assistant-id <YOUR_CONNECT_AI_AGENT_ASSISTANT_ID> \ @@ -528 +552 @@ For the `TEXT_COMPLETIONS` format, invoke the API by using the following AWS CLI - --assistant-id <YOUR_Q_IN_CONNECT_ASSISTANT_ID> \ + --assistant-id <YOUR_CONNECT_AI_AGENT_ASSISTANT_ID> \ @@ -543 +567 @@ For the `TEXT_COMPLETIONS` format, invoke the API by using the following AWS CLI -After an AI prompt has been created, you can create a version, which is an immutable instance of the AI prompt that can be used by Amazon Q in Connect at runtime. +After an AI prompt has been created, you can create a version, which is an immutable instance of the AI prompt that can be used at runtime. @@ -549 +573 @@ Use the following AWS CLI command to create version of a prompt. - --assistant-id <YOUR_Q_IN_CONNECT_ASSISTANT_ID> \ + --assistant-id <YOUR_CONNECT_AI_AGENT_ASSISTANT_ID> \ @@ -561 +585 @@ After a version has been created, use the following format to qualify the ID of -Use the following AWS CLI command to list system AI prompt versions. After the AI prompt versions are listed, you can use them to reset to the default Amazon Q in Connect experience. +Use the following AWS CLI command to list system AI prompt versions. After the AI prompt versions are listed, you can use them to reset to the default experience. @@ -565 +589 @@ Use the following AWS CLI command to list system AI prompt versions. After the A - --assistant-id <YOUR_Q_IN_CONNECT_ASSISTANT_ID> \ + --assistant-id <YOUR_CONNECT_AI_AGENT_ASSISTANT_ID> \