fix formatting

Author: taras-yemets

docs/cody/enterprise/model-configuration.mdx

@@ -225,9 +225,7 @@ This field is an array of items, each with the following fields:
 -   `contextWindow`: An object that defines the **number of tokens** (units of text) that can be sent to the LLM. This setting influences response time and request cost and may vary according to the limits set by each LLM model or provider. It includes two 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.
+-   `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.
 -   `serverSideConfig`: Additional configuration for the model. It can be one of the following: