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# Resolve error in StructuredOutputParser docs
Documentation for `StructuredOutputParser` currently not reproducible,
that is, `output_parser.parse(output)` raises an error because the LLM
returns a response with an invalid format
```python
_input = prompt.format_prompt(question="what's the capital of france")
output = model(_input.to_string())
output
# ?
#
# ```json
# {
# "answer": "Paris",
# "source": "https://www.worldatlas.com/articles/what-is-the-capital-of-france.html"
# }
# ```
```
Was fixed by adding a question mark to the prompt
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|---|---|---|
| .. | ||
| example_selectors/examples | ||
| output_parsers | ||
| prompt_templates | ||
| chat_prompt_template.ipynb | ||
| example_selectors.rst | ||
| getting_started.ipynb | ||
| output_parsers.rst | ||
| prompt_templates.rst | ||