> ## Documentation Index
> Fetch the complete documentation index at: https://docs.cognigy.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Anthropic

export const largeLanguageModelId_0 = undefined

export const alternative_0 = "Switch to the Messages API instead before the removal date."

<Warning>
  As of Cognigy.AI 2026.6.0, the support for the Completions API for custom LLMs is deprecated. The full removal is planned for Cognigy.AI 2026.24.0. {alternative_0}
</Warning>

<Warning>
  Anthropic's `claude-sonnet-4-6` model doesn't support [assistant message
  prefilling](https://platform.claude.com/docs/en/about-claude/models/migration-guide#breaking-changes-3). If your AI Agent uses this model and a conversation ends with an assistant message, for example,
  after a [Say Node](/ai/agents/develop/node-reference/basic/say), requests can
  fail with the error `The conversation must end with a user message`.

  To keep your Flows compatible, ensure that the last transcript step before the
  LLM call is a user message. For example, add an [Add Transcript Step
  Node](/ai/agents/develop/node-reference/service/add-transcript-step) before
  the LLM call and set the role to `user`.
</Warning>

To start using an Anthropic model with Cognigy.AI features, follow these steps:

1. [Add a Model](#add-models)
2. [Apply the Model](#apply-the-model)

## Add Models

You can add a model using one of the following interfaces:

* [GUI](#add-models-via-gui)
* [API](#add-models-via-the-api)

### Add Models via GUI

You can add a model provided by Anthropic to Cognigy.AI in **Build > LLM**. To add the model, you will need the following parameters:

<Tabs>
  <Tab title="Standard Model">
    <Note>
      The `*-latest` suffix indicates that the model you select points to the latest version of the model. For more information, read the [Anthropic's models](https://docs.anthropic.com/en/docs/about-claude/models/overview) documentation.
    </Note>

    | Parameter | Description                                                                                                             |
    | --------- | ----------------------------------------------------------------------------------------------------------------------- |
    | apiKey    | Add an API Key that you generated via [Account Settings](https://platform.claude.com/docs/en/get-started) in Anthropic. |
  </Tab>

  <Tab title="Custom Model">
    | Parameter  | Description                                                                                                                                                                                                                                              |
    | ---------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
    | Model Type | Select **Chat** for models that support the Messages API and **Completion** for the Completions API. For more information, refer to the [Anthropic Model Comparison (API format)](https://docs.anthropic.com/claude/docs/models-overview) documentation. |
    | Model Name | Enter the name of the model that you want to use as a custom model. To find model names, refer to the [Anthropic](https://docs.anthropic.com/claude/docs/models-overview) documentation.                                                                 |
    | apiKey     | Add an API Key that you generated via [Account Settings](https://platform.claude.com/docs/en/get-started) in Anthropic.                                                                                                                                  |
  </Tab>
</Tabs>

Apply changes. Check if the connection was set up by clicking **Test**.

### Add Models via the API

You can add either a standard or custom model using the [Cognigy.AI API POST /v2.0/largelanguagemodels](https://api-trial.cognigy.ai/openapi#post-/v2.0/largelanguagemodels) request.
Then, test your connection for the created model via the [Cognigy.AI API POST /v2.0/largelanguagemodels/{largeLanguageModelId_0}/test](https://api-trial.cognigy.ai/openapi#post-/v2.0/largelanguagemodels/-largeLanguageModelId-/test).

## Apply the Model

To apply a model, follow these steps:

1. In the left-side menu of the Project, go to **Manage > Settings**.
2. Go to the section based on your use case for using a model:
   * **Generative AI Settings**. In the **Generative AI Settings** section, activate **Enable Generative AI Features**. This setting is toggled on by default if you have previously set up the Generative AI credentials.
   * **Knowledge AI Settings**. Use this section if you need to add a model for Knowledge AI. Select a model for the **Knowledge Search** and **Answer Extraction** features. Refer to the [list of standard models](https://docs.cognigy.com/ai/empower/llms/model-support-by-feature/) and find the models that support these features.
3. Navigate to the desired feature and select a model from the list. If there are no models available for the selected feature, the system will automatically select **None**. Save changes.

## More Information

* [Other LLM Operations](/ai/agents/develop/gen-ai-and-llms/other-operations)
* [Overview](/ai/agents/develop/gen-ai-and-llms/llms)
* [All LLM Providers](/ai/agents/develop/gen-ai-and-llms/providers/all-providers)
* [Model support by feature](/ai/agents/develop/gen-ai-and-llms/model-support-by-feature)