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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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| .. | ||
| _static | ||
| additional_resources | ||
| ecosystem | ||
| getting_started | ||
| integrations | ||
| modules | ||
| reference | ||
| tracing | ||
| use_cases | ||
| conf.py | ||
| dependents.md | ||
| index.rst | ||
| integrations.rst | ||
| make.bat | ||
| Makefile | ||
| reference.rst | ||
| requirements.txt | ||