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To get a response in the specified format using the Pydantic output parser in LlamaIndex, you would first need to define a Pydantic model that matches the desired output structure. In your case, the model might look something like this:
from pydantic import BaseModel, Field
class DiameterCallStep(BaseModel):
required: str = Field(description="Required: y/n")
type: str = Field(description="Type: request/answer…")
description: str = Field(description="Description")Once you have defined your Pydantic model, you can use the
PydanticOutputParser class from LlamaIndex to parse the output into this format. Here's an example of how you might do this:
from llama_index.core.output_parsers import PydanticOutputParser
output_parser = PydanticOutputParser(DiameterCallStep)
Then, you can use the
format method of the
PydanticOutputParser to format a query with structured output formatting instructions:
formatted_query = output_parser.format(query)
Finally, you can use the
parse method of the
PydanticOutputParser to parse, validate, and correct errors programmatically:
parsed_output = output_parser.parse(text)
In this code,
query is the query you want to format, and
text is the text you want to parse into the format specified by your Pydantic model.
Please note that this is a general guide and you might need to adjust the code to fit your specific use case.
For more information, you can refer to the
LlamaIndex documentation ().
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