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from langchain.llms.base import LLM | |
from typing import Optional, List, Mapping, Any | |
from anthropic import Anthropic, HUMAN_PROMPT, AI_PROMPT | |
from urllib.parse import urlparse | |
import os | |
class ClaudeLLM(LLM): | |
def _llm_type(self) -> str: | |
return "custom" | |
def _call(self, prompt: str, stop: Optional[List[str]] = None) -> str: | |
client = Anthropic( | |
# defaults to os.environ.get("ANTHROPIC_API_KEY") | |
api_key= os.environ.get("ANTHROPIC_API_KEY"), | |
) | |
# How about the formatted prompt? | |
prompt_formatted = ( | |
f"{HUMAN_PROMPT}{prompt}\n{AI_PROMPT}" | |
) | |
response = client.completions.create( | |
model="claude-instant-v1-100k", | |
prompt=prompt_formatted, | |
stop_sequences=[HUMAN_PROMPT], | |
max_tokens_to_sample=100000, | |
temperature=0, | |
) | |
return response.completion | |
def _identifying_params(self) -> Mapping[str, Any]: | |
"""Get the identifying parameters.""" | |
return { | |
} | |
class ClaudeLLM2(LLM): | |
def _llm_type(self) -> str: | |
return "custom" | |
def _call(self, prompt: str, stop: Optional[List[str]] = None) -> str: | |
client = Anthropic( | |
# defaults to os.environ.get("ANTHROPIC_API_KEY") | |
api_key= os.environ.get("ANTHROPIC_API_KEY"), | |
) | |
# How about the formatted prompt? | |
prompt_formatted = ( | |
f"{HUMAN_PROMPT}{prompt}\n{AI_PROMPT}" | |
) | |
response = client.completions.create( | |
model="claude-2", | |
prompt=prompt_formatted, | |
stop_sequences=[HUMAN_PROMPT], | |
max_tokens_to_sample=100000, | |
temperature=0, | |
) | |
return response.completion | |
def _identifying_params(self) -> Mapping[str, Any]: | |
"""Get the identifying parameters.""" | |
return { | |
} | |
def remove_numbers(question): | |
return question.translate(str.maketrans('', '', '0123456789')) | |
def extract_website_name(url): | |
parsed_url = urlparse(url) | |
if parsed_url.netloc.startswith("www."): | |
return parsed_url.netloc.split("www.")[1].split(".")[0] | |
return parsed_url.netloc.split(".")[0] |