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docs: update json-mode docs to use with_structured_output(method="json_mode") (#30291)

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**Description:** update the json-mode concepts doc to use
method="json_mode" instead of model_kwargs w/ response_format
**Issue:** https://github.com/langchain-ai/langchain/issues/30290
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Matthew Farrellee 2025-03-14 13:54:57 -05:00 committed by GitHub
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docs/docs/concepts/structured_outputs.mdx
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@ -99,20 +99,10 @@ Here is an example of how to use JSON mode with OpenAI:
```python ```python
from langchain_openai import ChatOpenAI from langchain_openai import ChatOpenAI
model = ChatOpenAI(model="gpt-4o", model_kwargs={ "response_format": { "type": "json_object" } }) model = ChatOpenAI(model="gpt-4o").with_structured_output(method="json_mode")
ai_msg = model.invoke("Return a JSON object with key 'random_ints' and a value of 10 random ints in [0-99]") ai_msg = model.invoke("Return a JSON object with key 'random_ints' and a value of 10 random ints in [0-99]")
ai_msg.content ai_msg
'\n{\n "random_ints": [23, 47, 89, 15, 34, 76, 58, 3, 62, 91]\n}' {'random_ints': [45, 67, 12, 34, 89, 23, 78, 56, 90, 11]}
```
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 advanced functionality.
See this [how-to guide on the JSON output parser](/docs/how_to/output_parser_json) for more details.
```python
import json
json_object = json.loads(ai_msg.content)
{'random_ints': [23, 47, 89, 15, 34, 76, 58, 3, 62, 91]}
``` ```
## Structured output method ## Structured output method