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docs: Update structured_outputs.mdx (#27613)

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`strightforward` => `straightforward`
`adavanced` => `advanced`
`There a few challenges` => `There are a few challenges`

Documentation Correction:

*
[`docs/docs/concepts/structured_output.mdx`]:
Corrected several typos in the sentence directing users to the API
reference.
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Adarsh Sahu 2024-10-24 20:43:28 +05:30 committed by GitHub
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docs/docs/concepts/structured_outputs.mdx
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@ -66,7 +66,7 @@ Several more powerful methods that utilizes native features in the model provide
Many [model providers support](/docs/integrations/chat/) tool calling, a concept discussed in more detail in our [tool calling guide](/docs/concepts/tool_calling/).
In short, tool calling involves binding a tool to a model and, when appropriate, the model can *decide* to call this tool and ensure its response conforms to the tool's schema.
With this in mind, the central concept is strightforward: *simply bind our schema to a model as a tool!*
With this in mind, the central concept is straightforward: *simply bind our schema to a model as a tool!*
Here is an example using the `ResponseFormatter` schema defined above:
```python
@ -106,7 +106,7 @@ ai_msg.content
```
One important point to flag: the model *still* returns a string, which needs to be parsed into a JSON object.
This can, of course, simply use the `json` library or a JSON output parser if you need more adavanced functionality.
This can, of course, simply use the `json` library or a JSON output parser if you need more advanced functionality.
See this [how-to guide on the JSON output parser](/docs/how_to/output_parser_json) for more details.
```python
@ -117,7 +117,7 @@ json_object = json.loads(ai_msg.content)
## Structured output method
There a few challenges when producing structured output with the above methods:
There are a few challenges when producing structured output with the above methods:
(1) If using tool calling, tool call arguments needs to be parsed from a dictionary back to the original schema.