Anthropic

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A next-generation AI assistant for your tasks, no matter the scale

Before setting up

Before you can connect you need to make sure that:

You have an Anthropic account and have access to the API keys.

Connecting

Navigate to apps and search for Anthropic. If you cannot find Anthropic then click Add App in the top right corner, select Anthropic and add the app to your Blackbird environment.
Click Add Connection.
Name your connection for future reference e.g. ‘My Anthropic connection’.
Fill in your API key. You can create a new API key under API keys. The API key has the shape sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx.
Click Connect.

Actions

Chat actions

Chat action has the following input values in order to configure the generated response:

Model (All current and available models are listed in the dropdown)
Prompt
Max tokens to sample
Temperature
top_p
top_k
System prompt
Stop sequences

For more in-depth information about action consult the Anthropic API reference.

XLIFF actions

Translate Translate file content retrieved from a CMS or file storage. The output can be used in compatible actions.
Edit Edit a translation. This action assumes you have previously translated content in Blackbird through any translation action.
Review Review translation. This action assumes you have previously translated content in Blackbird through any translation action.
Process XLIFF processes the XLIFF file and returns updated XLIFF with the translated content. By default it will translate source and place the translation in the target field. But you can modify behavior by providing your custom prompt. Deprecated: use the ‘Translate’ action instead.
Post-edit XLIFF file action is used to post-edit the XLIFF file. Deprecated: use the ‘Edit’ action instead.
Get Quality Scores for XLIFF file action is used to get quality scores for the XLIFF file by adding extradata attribute to the translation unit of the file. Default criteria are fluency, grammar, terminology, style, and punctuation, but you can add your own by filling prompt optional input. Deprecated: use the ‘Review’ action instead.

Batch actions

(Batch) Process XLIFF file asynchronously process each translation unit in the XLIFF file according to the provided instructions (by default it just translates the source tags) and updates the target text for each unit.
(Batch) Post-edit XLIFF file asynchronously post-edit the target text of each translation unit in the XLIFF file according to the provided instructions and updates the target text for each unit.
(Batch) Get Quality Scores for XLIFF file asynchronously get quality scores for each translation unit in the XLIFF file.
(Batch) Get XLIFF from the batch get the results of the batch process. This action is suitable only for processing and post-editing XLIFF file and should be called after the async process is completed.
(Batch) Get XLIFF from the quality score batch get the quality scores results of the batch process. This action is suitable only for getting quality scores for XLIFF file and should be called after the async process is completed.

Token usage

For all actions you can configure the ‘Max tokens’ optional input. This value limits the number of tokens generated in the response. If left empty, the default value will be the maximum number of tokens allowed by the model. For example, Claude Sonnet 4 has a maximum of 64,000 output tokens - leaving this field empty means 64,000 will be used as the value. To limit the tokens generated in the response, set this value to a lower number.

Model Comparison

The following table compares the key characteristics of Claude models:

Model	Max Output	Context Window
Claude Opus 4.1	32,000 tokens	200K tokens
Claude Opus 4	32,000 tokens	200K tokens
Claude Sonnet 4	64,000 tokens	200K / 1M (beta) tokens
Claude Sonnet 3.7	64,000 tokens	200K tokens
Claude Haiku 3.5	8,192 tokens	200K tokens
Claude Haiku 3	4,096 tokens	200K tokens

Max output is the most important metric to consider when choosing a model for translation tasks, as it determines how much text can be generated in a single response. The context window is also important, especially for tasks that require understanding of larger documents or conversations like glossaries.

Feedback

Do you want to use this app or do you have feedback on our implementation? Reach out to us using the established channels or create an issue.