maybe improve spacing

Author: taras-yemets

docs/cody/enterprise/model-configuration.mdx

@@ -226,6 +226,7 @@ This field is an array of items, each with the following fields:
     -   `maxInputTokens`: Specifies the maximum number of tokens for the contextual data in the prompt (e.g., question, relevant snippets)
     -   `maxOutputTokens`: Specifies the maximum number of tokens allowed in the response
 -   `reasoningEffort`: Specifies the effort on reasoning for reasoning models (having `reasoning` capability). Supported values: `high`, `medium`, `low`.
+
 How this value is treated depends on the specific provider.
 For example, for Anthropic models supporting thinking, `low` effort means that the minimum [`thinking.budget_tokens`](https://docs.anthropic.com/en/api/messages#body-thinking) value (1024) will be used. For other `reasoningEffort` values, the `contextWindow.maxOutputTokens / 2` value will be used.
 For OpenAI reasoning models, the `reasoningEffort` field value corresponds to the [`reasoning_effort`](https://platform.openai.com/docs/api-reference/chat/create#chat-create-reasoning_effort) request body value.