AI python Conversation agent using Amazon Connect Alexa
Budget: $30 – $250 CAD
AI python Conversation agent using Amazon Connect Alexa
put 2 days to do in your bid
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I do not provide Amazon Connect Alexa and LLM Account & API Access
check may be free options like AWS free trial tire has it
check may be for free API to LLM
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I need a skilled Python developer with AI expertise to create a local Python-based AI Receptionist agent that can interact over calls. The specifics of the project are as follows: You provide detailed instructions (including how to get number and use code provider, all needed installations on Windows and how to get LLM API keys , including screen shorts and work flow video how to do all needed ) and write python code and provide architecture. I need voice conversation using AI agent using Amazon Connect service.
Agent is for conversation fulfilling Receptionist duties with LLM openai or other good cloud based LLM. First greeting by name (like Hello I am AI agent lets talk) and saving to txt log file time and caller name and looking into customers table using customers excel file saved on local disk and name function to get caller details and put details to prompt to use in conversation like address, age , hobby , profession
If new customer then register : voice AI agent get name and phone number and address; then register to local saved customers excel file. For services use Amazon Connect voice to text input for local running python code and text to voice from local python code to caller (long conversation as needed in the one same call support important ).
All dialog text saved to txt file as conversation happen one by one (not all at the end ) like 1 timestamp client message ; agent message; timestamp 2 client message ; agent message; etc
use Amazon Connect for voice to text and text to voice, not openai
so python code gets input text from caller voice and sends to Amazon Connect text, then Amazon Connect convert text to voice to send to caller
make sure caller messages is divided to portions before transferred to python , use pauses
meaning wait till user question ends then convert to text and transfer text to local python; imitate chat conversation
Agent talks with customer for long time as needed
acceptances criteria I can do by myself on my windows computer using your detail instructions (including how to get and use code provider ) and your code provided
SHOULD BE NO DELAYS IN CONVERSATION BY ANY REASON AS Amazon Connect Alexa AS LLM
put 2 days to do in your bid
***********************************************************
I do not provide Amazon Connect Alexa and LLM Account & API Access
check may be free options like AWS free trial tire has it
check may be for free API to LLM
**********************************************************
I need a skilled Python developer with AI expertise to create a local Python-based AI Receptionist agent that can interact over calls. The specifics of the project are as follows: You provide detailed instructions (including how to get number and use code provider, all needed installations on Windows and how to get LLM API keys , including screen shorts and work flow video how to do all needed ) and write python code and provide architecture. I need voice conversation using AI agent using Amazon Connect service.
Agent is for conversation fulfilling Receptionist duties with LLM openai or other good cloud based LLM. First greeting by name (like Hello I am AI agent lets talk) and saving to txt log file time and caller name and looking into customers table using customers excel file saved on local disk and name function to get caller details and put details to prompt to use in conversation like address, age , hobby , profession
If new customer then register : voice AI agent get name and phone number and address; then register to local saved customers excel file. For services use Amazon Connect voice to text input for local running python code and text to voice from local python code to caller (long conversation as needed in the one same call support important ).
All dialog text saved to txt file as conversation happen one by one (not all at the end ) like 1 timestamp client message ; agent message; timestamp 2 client message ; agent message; etc
use Amazon Connect for voice to text and text to voice, not openai
so python code gets input text from caller voice and sends to Amazon Connect text, then Amazon Connect convert text to voice to send to caller
make sure caller messages is divided to portions before transferred to python , use pauses
meaning wait till user question ends then convert to text and transfer text to local python; imitate chat conversation
Agent talks with customer for long time as needed
acceptances criteria I can do by myself on my windows computer using your detail instructions (including how to get and use code provider ) and your code provided
SHOULD BE NO DELAYS IN CONVERSATION BY ANY REASON AS Amazon Connect Alexa AS LLM