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authorNavan Chauhan <navanchauhan@gmail.com>2023-10-13 23:50:10 -0600
committerNavan Chauhan <navanchauhan@gmail.com>2023-10-13 23:50:10 -0600
commit9f914f8d479d58d7ccc045784fe614dfea9a1219 (patch)
treedb5a58ae9bdae7a7aa139c6220e048c359657298 /lang_prompt_demo.py
parent6edba6384b42fa03785ac5887e91eb310e876ced (diff)
langchain
Diffstat (limited to 'lang_prompt_demo.py')
-rw-r--r--lang_prompt_demo.py37
1 files changed, 37 insertions, 0 deletions
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+import os
+import sys
+import typing
+from dotenv import load_dotenv
+
+from tools.contacts import get_all_contacts
+from tools.vocode import call_phone_number
+from langchain.memory import ConversationBufferMemory
+
+from stdout_filterer import RedactPhoneNumbers
+
+load_dotenv()
+
+from langchain.chat_models import ChatOpenAI
+from langchain.agents import initialize_agent
+from langchain.agents import AgentType
+
+if __name__ == "__main__":
+ # Redirect stdout to our custom class
+ sys.stdout = typing.cast(typing.TextIO, RedactPhoneNumbers(sys.stdout))
+
+ OBJECTIVE = (
+ input("Objective: ")
+ or "Find a random person in my contacts and tell them a joke"
+ )
+ llm = ChatOpenAI(temperature=0, model_name="gpt-4") # type: ignore
+ memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
+ # Logging of LLMChains
+ verbose = True
+ agent = initialize_agent(
+ tools=[get_all_contacts, call_phone_number],
+ llm=llm,
+ agent=AgentType.CHAT_CONVERSATIONAL_REACT_DESCRIPTION,
+ verbose=verbose,
+ memory=memory,
+ )
+ agent.run(OBJECTIVE)