■ PromptTemplate 클래스의 format_prompt 메소드를 사용해 PromptValue 객체를 구하는 방법을 보여준다.
▶ main.py
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from langchain_core.pydantic_v1 import BaseModel from langchain_core.pydantic_v1 import Field from langchain_core.output_parsers import PydanticOutputParser from langchain_core.prompts import PromptTemplate class Action(BaseModel): action : str = Field(description = "action to take" ) action_input : str = Field(description = "input to the action") pydanticOutputParser = PydanticOutputParser(pydantic_object = Action) promptTemplate = PromptTemplate( template = "Answer the user query.\n{format_instructions}\n{query}\n", input_variables = ["query"], partial_variables = {"format_instructions": pydanticOutputParser.get_format_instructions()} ) promptValue = promptTemplate.format_prompt(query = "who is leo di caprios gf?") print(promptValue) """ text = 'Answer the user query.\nThe output should be formatted as a JSON instance that conforms to the JSON schema below.\n\nAs an example, for the schema {"properties": {"foo": {"title": "Foo", "description": "a list of strings", "type": "array", "items": {"type": "string"}}}, "required": ["foo"]}\nthe object {"foo": ["bar", "baz"]} is a well-formatted instance of the schema. The object {"properties": {"foo": ["bar", "baz"]}} is not well-formatted.\n\nHere is the output schema:\n```\n{"properties": {"action": {"title": "Action", "description": "action to take", "type": "string"}, "action_input": {"title": "Action Input", "description": "input to the action", "type": "string"}}, "required": ["action", "action_input"]}\n```\nwho is leo di caprios gf?\n' """ |
▶ requirements.txt
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aiohttp==3.9.5 aiosignal==1.3.1 annotated-types==0.7.0 async-timeout==4.0.3 attrs==23.2.0 certifi==2024.6.2 charset-normalizer==3.3.2 frozenlist==1.4.1 greenlet==3.0.3 idna==3.7 jsonpatch==1.33 jsonpointer==3.0.0 langchain==0.2.6 langchain-core==0.2.10 langchain-text-splitters==0.2.2 langsmith==0.1.82 multidict==6.0.5 numpy==1.26.4 orjson==3.10.5 packaging==24.1 pydantic==2.7.4 pydantic_core==2.18.4 PyYAML==6.0.1 requests==2.32.3 SQLAlchemy==2.0.31 tenacity==8.4.2 typing_extensions==4.12.2 urllib3==2.2.2 yarl==1.9.4 |
※ pip install langchain 명령을 실행했다.