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Co-authored-by: Rowena Jones <[email protected]>
Co-authored-by: Néda <[email protected]>

Author: 3 people

pages/generative-apis/how-to/use-structured-outputs.mdx

@@ -40,10 +40,10 @@ There are several ways to interact with language models:
    - Type: `{"type": "json_object"}`
    - This mode is non-deterministic and allows the model to output a JSON object without strict validation.
    - Useful for flexible outputs when you expect the model to infer a reasonable structure based on your prompt.
-   - JSON mode is older and has been used by developers since early API implementations but lack reliability in response formats.
+   - JSON mode is older and has been used by developers since early API implementations, but lacks reliability in response formats.
 
 <Message type="note">
-    - 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.
+    - All LLMs in 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
@@ -193,8 +193,8 @@ Output example:
 ### Using JSON mode (schemaless, Legacy method)
 
 <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.`.
+  - When using the OpenAI SDKs as 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 the 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>
 
 In JSON mode, you can prompt the model to output a JSON object without enforcing a strict schema.