Apply suggestions from code review

Co-authored-by: Néda <[email protected]>
scaleway · Feb 11, 2025 · 7ce8221 · 7ce8221
1 parent f39a811
commit 7ce8221
Showing 1 changed file with 4 additions and 5 deletions.
diff --git a/pages/generative-apis/how-to/use-structured-outputs.mdx b/pages/generative-apis/how-to/use-structured-outputs.mdx
@@ -43,7 +43,7 @@ There are several ways to interact with language models:
    - JSON mode is older and has been used by developers since early API implementations but lack reliability in response formats.
 
 <Message type="note">
-    - All LLMs on the Scaleway library support **Structured outputs** and **JSON mode**. However, schemaless **JSON mode** will produce lower quality result and is not recommended.
+    - All LLMs on the Scaleway library support **Structured outputs** and **JSON mode**. However, a schemaless **JSON mode** will produce lower quality results and is not recommended.
 </Message>
 
 ## Code examples
@@ -57,8 +57,7 @@ There are several ways to interact with language models:
 
 The following Python examples demonstrate how to use both **Structured outputs** and to generate structured responses.
 
-We will send to our LLM a voice note transcript in order to structure it.
-Below is our base code:
+We are using the base code below to send our LLM a voice note transcript to structure:
 
 ```python
 import json
@@ -193,7 +192,7 @@ Output example:
 
 ### Using JSON mode (schemaless, Legacy method)
 
-<Message type="warning">
+<Message type="important">
   - When using the OpenAI SDKs like in the examples above, you are expected to set `additionalProperties` to false, and to specify all your properties as required.
   - JSON mode: It is important to explicitly ask the model to generate a JSON output either in system prompt or user prompt. To prevent infinite generations, model providers most often encourage users to ask the model for short JSON objects. Prompt example: `Only answer in JSON using '{' as the first character.`.
 </Message>
@@ -249,4 +248,4 @@ Using structured outputs with LLMs can significantly improve their reliability,
 - **Structured outputs** provide strict adherence to a predefined schema, ensuring consistency.
 - **JSON mode** (Legacy Method) is flexible but less predictable.
 
-We recommend using Structured outputs (`json_schema`) for most use cases.
+We recommend using structured outputs (`json_schema`) for most use cases.