j 6 d dl mZmZ d dlmZ d dlmZ d dlmZm Z d dl
m Z m Z d dl
mZ d dlmZ d dlmZ d d lmZmZmZ d
ed efd Zd
Z edddd d dededee deee de d ef d Z edddd d dededee de d ef
d Z y) )AnyOptional)
deprecated)BaseLanguageModel) JsonKeyOutputFunctionsParser!PydanticAttrOutputFunctionsParser)BasePromptTemplateChatPromptTemplate) BaseModel)Chain)LLMChain)_convert_schema_resolve_schema_referencesget_llm_kwargs
entity_schemareturnc 4 dddddt | didgddS ) Ninformation_extractionz3Extracts the relevant information from the passage.objectinfoarray)typeitems)r
propertiesrequired)name description
parameters)r )r s v/var/www/html/Fitness-lenito-AI-main/venv/lib/python3.12/site-packages/langchain/chains/openai_functions/extraction.py_get_extraction_functionr s5 (L ?=3QR
a< Extract and save the relevant entities mentioned in the following passage together with their properties.
Only extract the properties mentioned in the 'information_extraction' function.
If a property is not present and is not required in the function parameters, do not include it in the output.
Passage:
{input}
z0.1.14a LangChain has introduced a method called `with_structured_output` thatis available on ChatModels capable of tool calling.You can read more about the method here: . Please follow our extraction use case documentation for more guidelineson how to do information extraction with LLMs.. If you notice other issues, please provide feedback here:z1.0a)
from pydantic import BaseModel, Field
from langchain_anthropic import ChatAnthropic
class Joke(BaseModel):
setup: str = Field(description="The setup of the joke")
punchline: str = Field(description="The punchline to the joke")
# Or any other chat model that supports tools.
# Please reference to to the documentation of structured_output
# to see an up to date list of which models support
# with_structured_output.
model = ChatAnthropic(model="claude-3-opus-20240229", temperature=0)
structured_llm = model.with_structured_output(Joke)
structured_llm.invoke("Tell me a joke about cats.
Make sure to call the Joke function.")
)sincemessageremoval alternativeNschemallmprompttagsverbosec t | }|xs t j t }t d }t | }t
|||||| S )a Creates a chain that extracts information from a passage.
Args:
schema: The schema of the entities to extract.
llm: The language model to use.
prompt: The prompt to use for extraction.
verbose: Whether to run in verbose mode. In verbose mode, some intermediate
logs will be printed to the console. Defaults to the global `verbose` value,
accessible via `langchain.globals.get_verbose()`.
Returns:
Chain that can be used to extract information from a passage.
r )key_name)r' r(
llm_kwargs
output_parserr) r* )r r
from_template_EXTRACTION_TEMPLATEr r r
) r& r' r( r) r* functionextraction_promptr. r- s r create_extraction_chainr3 / sZ n (/H X"4"B"BCW"X0&AM )J #
r! pydantic_schemac X G fddt }t d r j }n j }t ||j di }t
| }|xs t j t }t |d }t | } t ||| || S )a@ Creates a chain that extracts information from a passage using pydantic schema.
Args:
pydantic_schema: The pydantic schema of the entities to extract.
llm: The language model to use.
prompt: The prompt to use for extraction.
verbose: Whether to run in verbose mode. In verbose mode, some intermediate
logs will be printed to the console. Defaults to the global `verbose` value,
accessible via `langchain.globals.get_verbose()`
Returns:
Chain that can be used to extract information from a passage.
c " e Zd ZU eW ed< y)8create_extraction_chain_pydantic..PydanticSchemar N)__name__
__module__ __qualname__list__annotations__)r4 s r PydanticSchemar7 s ?##r! r= model_json_schema definitionsr )r4 attr_name)r' r( r- r. r* )
r hasattrr> r& r getr r
r/ r0 r r r
)
r4 r' r( r* r=
openai_schemar1 r2 r. r- s
` r create_extraction_chain_pydanticrD t s n$ $ 34'99;
'..0
.-,M
(
6H X"4"B"BCW"X5&M )J # r! )NNF)NF) typingr r langchain_core._apir langchain_core.language_modelsr .langchain_core.output_parsers.openai_functionsr r langchain_core.promptsr r
pydanticr langchain.chains.baser langchain.chains.llmr
'langchain.chains.openai_functions.utilsr r r dictr r0 r; strboolr3 rD r! r rR s4 * < J ' ) D T
H
!"L ,0 $
' ( 49
G"F D
H
!"L ,0 .. .
' (. .
.G"F.r!