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import anthropic
import os
from .BaseLLM import BaseLLM
class Claude(BaseLLM):
def __init__(self, model="claude-3-5-sonnet-20240620"):
super(Claude, self).__init__()
self.model_name = model
self.client = anthropic.Anthropic(
api_key = os.environ.get("ANTHROPIC_API_KEY")
)
# add api_base
self.messages = []
def initialize_message(self):
self.messages = []
def ai_message(self, payload):
self.messages.append({"role": "ai", "content": payload})
def system_message(self, payload):
self.messages.append({"role": "system", "content": payload})
def user_message(self, payload):
self.messages.append({"role": "user", "content": payload})
def get_response(self):
message = self.client.messages.create(
model=self.model_name,
max_tokens=4096,
messages=self.messages
)
return message.content
def chat(self,text):
self.initialize_message()
if isinstance(messages, str):
self.user_message(text)
response = self.get_response()
return response
def print_prompt(self):
for message in self.messages:
print(message)
if __name__ == '__main__':
messages = [{"role": "system", "content": "Hello, how are you?"}]
model = "claude-3-5-sonnet-20240620"
#model = 'gpt-4o'
llm = Claude()
print(llm.chat("Say it is a test."))
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