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#1	from typing import Optional
#2
#3	from embedchain.config.base_config import BaseConfig
#4
#5	ANSWER_RELEVANCY_PROMPT = """
#6	Please provide $num_gen_questions questions from the provided answer.
#7	You must provide the complete question, if are not able to provide the complete question, return empty string ("").
#8	Please only provide one question per line without numbers or bullets to distinguish them.
#9	You must only provide the questions and no other text.
#10
#11	$answer
#12	""" # noqa:E501
#13
#14
#15	CONTEXT_RELEVANCY_PROMPT = """
#16	Please extract relevant sentences from the provided context that is required to answer the given question.
#17	If no relevant sentences are found, or if you believe the question cannot be answered from the given context, return the empty string ("").
#18	While extracting candidate sentences you're not allowed to make any changes to sentences from given context or make up any sentences.
#19	You must only provide sentences from the given context and nothing else.
#20
#21	Context: $context
#22	Question: $question
#23	""" # noqa:E501
#24
#25	GROUNDEDNESS_ANSWER_CLAIMS_PROMPT = """
#26	Please provide one or more statements from each sentence of the provided answer.
#27	You must provide the symantically equivalent statements for each sentence of the answer.
#28	You must provide the complete statement, if are not able to provide the complete statement, return empty string ("").
#29	Please only provide one statement per line WITHOUT numbers or bullets.
#30	If the question provided is not being answered in the provided answer, return empty string ("").
#31	You must only provide the statements and no other text.
#32
#33	$question
#34	$answer
#35	""" # noqa:E501
#36
#37	GROUNDEDNESS_CLAIMS_INFERENCE_PROMPT = """
#38	Given the context and the provided claim statements, please provide a verdict for each claim statement whether it can be completely inferred from the given context or not.
#39	Use only "1" (yes), "0" (no) and "-1" (null) for "yes", "no" or "null" respectively.
#40	You must provide one verdict per line, ONLY WITH "1", "0" or "-1" as per your verdict to the given statement and nothing else.
#41	You must provide the verdicts in the same order as the claim statements.
#42
#43	Contexts:
#44	$context
#45
#46	Claim statements:
#47	$claim_statements
#48	""" # noqa:E501
#49
#50
#51	class GroundednessConfig(BaseConfig):
#52	def __init__(
#53	self,
#54	model: str = "gpt-4",
#55	api_key: Optional[str] = None,
#56	answer_claims_prompt: str = GROUNDEDNESS_ANSWER_CLAIMS_PROMPT,
#57	claims_inference_prompt: str = GROUNDEDNESS_CLAIMS_INFERENCE_PROMPT,
#58	):
#59	self.model = model
#60	self.api_key = api_key
#61	self.answer_claims_prompt = answer_claims_prompt
#62	self.claims_inference_prompt = claims_inference_prompt
#63
#64
#65	class AnswerRelevanceConfig(BaseConfig):
#66	def __init__(
#67	self,
#68	model: str = "gpt-4",
#69	embedder: str = "text-embedding-ada-002",
#70	api_key: Optional[str] = None,
#71	num_gen_questions: int = 1,
#72	prompt: str = ANSWER_RELEVANCY_PROMPT,
#73	):
#74	self.model = model
#75	self.embedder = embedder
#76	self.api_key = api_key
#77	self.num_gen_questions = num_gen_questions
#78	self.prompt = prompt
#79
#80
#81	class ContextRelevanceConfig(BaseConfig):
#82	def __init__(
#83	self,
#84	model: str = "gpt-4",
#85	api_key: Optional[str] = None,
#86	language: str = "en",
#87	prompt: str = CONTEXT_RELEVANCY_PROMPT,
#88	):
#89	self.model = model
#90	self.api_key = api_key
#91	self.language = language
#92	self.prompt = prompt
#93

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