Genai main additions (#11325)

* Update agent-commons.md

Small troubleshooting addition about Oracle datatypes

* Clarify GenAI Commons description in documentation

Updated the description for GenAI Commons to clarify its role as a base module and required dependency.

* Update model listings for OpenAI and image generation

Updated OpenAI supported models

* Revise model table and add API references

Bedrock: Updated model listings and added links for Converse and InvokeModel APIs.

* Update Converse API output capabilities

Added 'Function calling' to the output capabilities for models supporting the Converse API.

* Update image generation row in model capabilities table

* Remove titan embed references

* updated model support for bedrock embeddings

* Update model support information in documentation

For Bedrock

* Revise model listings and add reference links

Updated model names and added links for OpenAI and Mistral models and Google Gemini.

* Update Gemini model listings in documentation

* Reorder Mistral models in the documentation table

* Fix formatting and update Mistral models list

* Language edit

* Apply feedback

---------

Co-authored-by: Liam Sommer <161324156+liamsommer-mx@users.noreply.github.com>
Co-authored-by: Dana Breseman <dana.breseman@mendix.com>

Author: 3 people

content/en/docs/genai/_index.md

@@ -62,7 +62,7 @@ Integrate AI capabilities into your applications with Agents Kit, a collection o
 | [Agent Commons](/agents/genai-for-mx/agent-commons/) | Build agentic functionality by defining, testing, and evaluating agents at runtime. Iterate on prompts and agent configurations without app redeployment through the integrated Agent Builder UI. | 10.24 |
 | [Agent Editor](/agents/genai-for-mx/agent-editor/) | Define agents as version-controlled documents in Studio Pro at design time. Author prompts, configure tools and knowledge bases, test locally, and deploy agents as part of your app model. | 11.9 |
 | [Conversational UI](/agents/genai-for-mx/conversational-ui/) | Create chat interfaces for full-screen, sidebar, or modal GenAI conversations. Monitor token consumption and trace interactions with UI features built on GenAI Commons. | 10.24 |
-| [GenAI Commons](/agents/genai-for-mx/commons/) | Use common capabilities that allow all GenAI connectors to be integrated with the other modules. You can also implement your own connector based on this module. | 10.24 |
+| [GenAI Commons](/agents/genai-for-mx/commons/) | Integrate GenAI connectors with other modules using common capabilities provided by this base module. Required dependency for both core and connector modules. You can also implement your own connector based on this module. | 10.24 |
 
 #### Connector Modules {#connectors}
 
@@ -103,49 +103,43 @@ Mendix [connectors](#connectors) offer direct support for the following models.
 
 | Models | Category | Input | Output | Additional Capabilities |
 | --- | --- | --- | --- | --- |
-| gpt-4, gpt-4-turbo, gpt-4o, gpt-4o mini, gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, gpt-5.0, gpt-5.0-mini, gpt-5.0-nano, gpt-5.1, gpt-5.2, o1, o1-mini, o3, o3-mini, o4-mini | Chat completions | text, image, document (OpenAI only) | text | Function calling |
-| DALL·E 2, DALL·E 3, gpt-image-1 | Image generation | text | image | |
+| gpt and o family, such as gpt-5.5 and o4 | Chat completions | text, image, document (OpenAI only) | text | Function calling |
+| gpt-image-1, gpt-image-1.5, gpt-image-2 | Image generation | text | image | |
 | text-embedding-ada-002, text-embedding-3-small, text-embedding-3-large | Embeddings | text | embeddings | |
 
+For a list of all OpenAI models, see [Models](https://developers.openai.com/api/docs/models) in the OpenAI documentation.
+
 #### Mistral
 
 | Models | Category | Input | Output | Additional Capabilities |
 | --- | --- | --- | --- | --- |
-| Mistral Large 3, Mistral Medium 3.1, Mistral Small 3.2, Ministral 3 (3B, 8B, 14B), Magistral (Small, Medium) | Chat completions | text, image | text | Function calling |
-| Codestral, Devstral (Small, Medium), Open Mistral 7B, Mistral Nemo 12B | Chat completions | text | text | Function calling |
+| Mistral's generalist models such as Mistral Small 4, Mistral Medium 3.5, Mistral Large 3, and Ministral 3 (3B, 8B, 14B) | Chat completions | text, image | text | Function calling |
+| Codestral, Devstral | Chat completions | text | text | Function calling |
+| (Open) Mistral Nemo 12B | Chat completions | text | text |  |
 | Mistral Embed, Codestral Embed | Embeddings | text | embeddings | |
 
+For a list of all Mistral models, see [Models Overview](https://docs.mistral.ai/models/overview) in the Mistral documentation.
+
 #### Google Gemini
 
 | Models | Category | Input | Output | Additional Capabilities |
 | --- | --- | --- | --- | --- |
-| Gemini 2.5 Flash (+ Preview Sep 2025), Gemini 2.5 Flash-Lite (+ Preview Sep 2025), Gemini 2.5 Pro, Gemini Flash Latest, Gemini Flash-Lite Latest, Gemini Pro Latest | Chat completions | text, image | text | Function calling |
-| Gemini 3 Flash Preview, Gemini 3 Pro Preview | Chat completions | text, image | text | |
+| Gemini 2.5 Flash, Gemini 2.5 Flash-Lite, Gemini 2.5 Pro, Gemini Flash Latest, Gemini Flash-Lite Latest, Gemini Pro Latest | Chat completions | text, image | text | Function calling |
+| Gemini 3 Flash Preview, Gemini 3.1 Flash-Lite, Gemini 3.1 Pro Preview, Gemini 3.5 Flash | Chat completions | text, image | text | |
 
 #### Amazon Bedrock
 
 | Models | Category | Input | Output | Additional Capabilities |
 | --- | --- | --- | --- | --- |
-| Amazon Titan Text G1 - Express, Amazon Titan Text G1 - Lite, Amazon Titan Text G1 - Premier | Chat completions | text, document (except Titan Premier) | text | |
-| AI21 Jamba-Instruct | Chat completions | text | text | |
-| AI21 Labs Jurassic-2 (Text) | Chat completions | text | text | |
-| Amazon Nova Pro, Amazon Nova Lite | Chat completions | text, image, document | text | Function calling |
-| Amazon Titan Image Generator G1 | Image generation | text | image | |
-| Amazon Titan Embeddings Text v2 | Embeddings | text | embeddings | |
-| Anthropic Claude 3 Sonnet, Anthropic Claude 3.5 Sonnet, Anthropic Claude 3.5 Sonnet v2, Anthropic Claude 3 Haiku, Anthropic Claude 3 Opus, Anthropic Claude 3.5 Haiku, Anthropic Claude 4.5 Sonnet, Anthropic Claude 4.5 Haiku, Anthropic Claude 4.5 Opus | Chat completions | text, image, document | text | Function calling |
-| Cohere Command | Chat completions | text, document | text | |
-| Cohere Command Light | Chat completions | text | text | |
-| Cohere Command R, Cohere Command R+ | Chat completions | text, document | text | Function calling |
-| Cohere Embed English, Cohere Embed Multilingual | Embeddings | text | embeddings | |
-| DeepSeek, DeepSeek-R1 | Text | text | document | |
-| Meta Llama 2, MetaLlama 3 | Chat completions | text, document | text | |
-| Meta Llama 3.1 | Chat completions | text, document | text | Function calling |
-| Mistral AI Instruct | Chat completions | text, document | text | |
-| Mistral Large, Mistral Large 2 | Chat completions | text, document | text | Function calling |
-| Mistral Small | Chat completions | text | text | Function calling |
-| OpenAI gpt-oss-20B, gpt-oss-120b | Chat completions | text | text | |
-
-For more details on limitations and supported model capabilities for the Bedrock Converse API used in the ChatCompletions operations, see [Supported models and model features](https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference-supported-models-features.html) in the AWS documentation.
+| Native support for models that support the Converse API, with providers including Anthropic Claude, DeepSeek, Meta, and OpenAI (OSS models). | Chat completions | text, document, image  | text | Function calling |
+| Native support for [models by Cohere](https://docs.aws.amazon.com/bedrock/latest/userguide/model-cards-cohere.html), and configurable support for all other models that support the Invoke API. | Embeddings  | text | embeddings | |
+| Native support for Titan Image Generator G1 v2 (availability varies by region), and configurable support for all other models that support the Invoke API. | Image generation  | text | image | |
+
+{{% alert color="info" %}}
+For embeddings and image generation, models that support the Invoke API but lack native support can be supported after minor configuration changes.
+{{% /alert %}}
+
+For a list of all Bedrock Models, see [Models at a glance](https://docs.aws.amazon.com/bedrock/latest/userguide/model-cards.html). To determine if a model supports the Converse or Invoke APIs, see the model details after selecting a model from the list.
 
 #### Connecting to Other Models
 

content/en/docs/marketplace/platform-supported-content/modules/aws/amazon-bedrock.md

@@ -232,7 +232,6 @@ To invoke a Bedrock agent for your Mendix app, do the following steps:
 * Chat Completions with History
 * Chat Completion without History
 * Embeddings with Cohere Embed
-* Embeddings with Amazon Titan Embeddings
 
 For more information about using this feature, refer to the [GenAI commons documentation](/agents/genai-for-mx/commons/#token-usage).
 
@@ -337,19 +336,19 @@ For Titan Image models, the `Image Generation: Add Titan Image Extension` operat
 
 #### Generate Embeddings (String) {#embeddings-single-string}
 
-The [Generate Embeddings (String)](/agents/genai-for-mx/commons/#embeddings-string) activity can be used to generate an embedding vector for a given input string with one of the Cohere Embed models or Titan Embeddings v2.
+The [Generate Embeddings (String)](/agents/genai-for-mx/commons/#embeddings-string) activity can be used to generate an embedding vector for a given input string with one of the Cohere Embed models.
 
-For Cohere Embed and Titan Embeddings, the request can be associated to their respective EmbeddingsOptions extension object which can be created with the [Embeddings Options: Add Cohere Embed Extension](#add-cohere-embed-extension) or [Embeddings Options: Add Titan Embeddings Extension](#add-titan-embeddings-extension) operation. Through this extension, it is possible to tailor the operation to more specific needs.
+For Cohere Embed, the request can be associated to their respective EmbeddingsOptions extension object which can be created with the [Embeddings Options: Add Cohere Embed Extension](#add-cohere-embed-extension) operation. Through this extension, it is possible to tailor the operation to more specific needs.
 
-Currently, embeddings are available for the Cohere Embed family and or Titan Embeddings v2.
+Currently, embeddings are available for the Cohere Embed family.
 
 #### Generate Embeddings (Chunk Collection) {#embeddings-chunk-collection}
 
-The [Generate Embeddings (Chunk Collection)](/agents/genai-for-mx/commons/#embeddings-chunk-collection) activity can be used to generate a collection of embedding vectors for a given collection of text chunks with one of the Cohere Embed models or Titan Embeddings v2.
+The [Generate Embeddings (Chunk Collection)](/agents/genai-for-mx/commons/#embeddings-chunk-collection) activity can be used to generate a collection of embedding vectors for a given collection of text chunks with one of the Cohere Embed models.
 
-For each model family, the request can be associated to an extension of the EmbeddingsOptions object which can be created with either the [Embeddings Options: Add Cohere Embed Extension](#add-cohere-embed-extension) or the [Embeddings Options: Add Titan Embeddings Extension](#add-titan-embeddings-extension) operation. Through this extension, it is possible to tailor the operation to more specific needs.
+For each model family, the request can be associated to an extension of the EmbeddingsOptions object which can be created with either the [Embeddings Options: Add Cohere Embed Extension](#add-cohere-embed-extension) operation. Through this extension, it is possible to tailor the operation to more specific needs.
 
-Currently, embeddings are available for the Cohere Embed family and Titan Embeddings v2.
+Currently, embeddings are available for the Cohere Embed family.
 
 #### Retrieve {#retrieve}
 
@@ -443,16 +442,6 @@ This operation corresponds to the **CohereEmbedOptions_Extension_Create** microf
 | --- | --- |
 | `GenAICommons.EmbeddingsOptions (object)`, `InputType (enumeration)`, `EmbeddingTypes (enumeration, optional)`, `Truncate (enumeration, optional)` | `CohereEmbedOptions_Extension (object)`|
 
-#### Embeddings Options: Add Titan Embeddings Extension {#add-titan-embeddings-extension}
-
-Use this microflow to add a new TitanEmbeddingsOptions_Extension object to your `EmbeddingsOptions` object. You can use it to include parameters that are unique to Titan Embeddings models.
-
-This operation corresponds to the **TitanEmbeddingsOptions_Extension_Create** microflow.
-
-| Input | Output |
-| --- | --- |
-| `GenAICommons.EmbeddingsOptions (object)`, `Normalize (boolean)`| `TitanEmbeddingsOptions_Extension (object)`|
-
 #### Set Bedrock Retrieve Options {#add-r-extension}
 
 Use this microflow to add a new RetrieveRequest_Extension object to your request. This is required in order to use the [Retrieve](#retrieve) activity.