github/LucidLoanMachine
1
1
Fork 0
mirror of https://github.com/hackertron/LucidLoanMachine.git synced 2026-01-09 18:37:58 -05:00
Code Issues Packages Projects Releases Wiki Activity

prompt update to save bank.json file

Browse Source
This commit is contained in:
hackertron
2024-07-15 17:52:26 +05:30
parent fb1ca851a9
commit 80bcdad599
2 changed files with 4 additions and 10 deletions
Download Patch File Download Diff File Expand all files Collapse all files

11
main.py
View File

@@ -30,12 +30,6 @@ def verify_email_with_prove_api(domain :Annotated[str, "The domain name to verif
return response.json() if response.status_code == 200 else None
def write_to_bank_file(data : Annotated[dict, "bank data that is provided by the user"]):
with open('bank.json', 'w') as outfile:
json.dump(data, outfile)
front_desk_assistant = autogen.AssistantAgent(
name="front_desk_assistant",
llm_config=llm_config,
@@ -77,8 +71,6 @@ user_proxy = autogen.UserProxyAgent(
otherwise, reply CONTINUE, or the reason why the task is not solved yet."""
)
user_proxy.register_for_llm(name="write_to_bank_file", description="write to bank file")(write_to_bank_file)
user_proxy.register_for_execution("write_to_bank_file")(write_to_bank_file)
user_proxy.register_for_llm(name="verify_email_with_prove_api", description="verify email's dkim using prove api verify_email_with_prove_api")(verify_email_with_prove_api)
user_proxy.register_for_execution(name="verify_email_with_prove_api")(verify_email_with_prove_api)
@@ -90,7 +82,8 @@ def main():
# Register the verify_email_with_prove_api function for the email_assistant
email_assistant.register_function(
function_map={
"verify_email_with_prove_api": verify_email_with_prove_api
"verify_email_with_prove_api": verify_email_with_prove_api,
"process_pdf_from_url": process_pdf_from_url
}
)
chat_results = user_proxy.initiate_chats([

3
system_prompts.py
View File

@@ -3,7 +3,8 @@ front_desk_assistant_prompt = """You have a personality of monopoly banker. You
What bank do you use, Do you have a job/proof of income, what's your email?, Do you have any history of not paying back loans?
once you collect all these answers, create a json response with following key
{"first_name" : "", last_name: "", "country" : "", "bank" : "", "income" : "", "history" : "", loan_amount : "", email : ""}
Ask user for confirmation that the details are right and want to proceed with it. Show the response in json format and save it to a file
Ask user for confirmation that the details are right and want to proceed with it. write a python code to save
that json response to a file called bank.json
"""
email_assistant_prompt = """You will have access to bank.json from front_desk_assistant.