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55 lines
1.8 KiB
Python
55 lines
1.8 KiB
Python
"""request parser."""
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import json
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import re
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from typing import Any
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from langchain.base_language import BaseLanguageModel
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from langchain.chains.api.openapi.prompts import REQUEST_TEMPLATE
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from langchain.chains.llm import LLMChain
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from langchain.prompts.prompt import PromptTemplate
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from langchain.schema import BaseOutputParser
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class APIRequesterOutputParser(BaseOutputParser):
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"""Parse the request and error tags."""
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def _load_json_block(self, serialized_block: str) -> str:
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try:
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return json.dumps(json.loads(serialized_block, strict=False))
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except json.JSONDecodeError:
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return "ERROR serializing request."
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def parse(self, llm_output: str) -> str:
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"""Parse the request and error tags."""
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json_match = re.search(r"```json(.*?)```", llm_output, re.DOTALL)
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if json_match:
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return self._load_json_block(json_match.group(1).strip())
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message_match = re.search(r"```text(.*?)```", llm_output, re.DOTALL)
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if message_match:
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return f"MESSAGE: {message_match.group(1).strip()}"
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return "ERROR making request"
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class APIRequesterChain(LLMChain):
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"""Get the request parser."""
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@classmethod
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def from_llm_and_typescript(
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cls,
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llm: BaseLanguageModel,
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typescript_definition: str,
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verbose: bool = True,
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**kwargs: Any,
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) -> LLMChain:
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"""Get the request parser."""
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output_parser = APIRequesterOutputParser()
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prompt = PromptTemplate(
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template=REQUEST_TEMPLATE,
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output_parser=output_parser,
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partial_variables={"schema": typescript_definition},
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input_variables=["instructions"],
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)
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return cls(prompt=prompt, llm=llm, verbose=verbose, **kwargs)
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