How does Qi140 Multi handle conversation data persistence?

All input and output data from AI interactions are logged to a PostgreSQL database, ensuring robust auditing and persistence of conversation logs.

Does Qi140 Multi offer API documentation?

Yes, comprehensive OpenAPI/Swagger documentation is available at the `/docs` endpoint, making API exploration and integration straightforward.

How are AI prompts configured in Qi140 Multi?

AI prompts are loaded from a configurable text file (e.g., `prompts/prompt.txt`), allowing for flexible customization and management of AI responses.

Which LLM providers does Qi140 Multi support?

It supports OpenAI and any generic OpenAI-compatible API provider, with configurable options via environment variables for base URL, port, and model.

What is the main purpose of Qi140 Multi?

Qi140 Multi is a versatile server designed for AI-powered customer service interactions, integrating large language models and persisting conversation logs for auditing.

Qi140 Multi

Name: Qi140 Multi
Author: ricardobarreto-vitai

byricardobarreto-vitai

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Developer Tools

API Development

Data Science & ML

Provides a versatile server for AI-powered customer service interactions, integrating with large language models and persisting conversation logs.

This versatile server acts as a central hub for AI-driven customer service, designed to handle specific webhook requests for AI attendance. It integrates seamlessly with various Large Language Model (LLM) providers like OpenAI or custom API-compatible services, allowing for flexible AI backend configurations. The system logs all incoming and outgoing interactions to PostgreSQL, ensuring data persistence and auditability. Developers can easily explore its API capabilities through built-in OpenAPI/Swagger documentation, making it an ideal component for building scalable and intelligent support systems.

Key Features

01Logs input and output data to PostgreSQL for auditing and persistence

02Configurable prompt loading for AI responses

03Maintains POST /webhook/atendimento-ai endpoint with existing payload structure

04Provides OpenAPI/Swagger documentation at /docs for API exploration

05Supports multiple LLM providers including OpenAI and generic OpenAI-compatible APIs

060 GitHub stars

Use Cases

01Developing AI-powered customer service agents for automated support

02Centralizing the logging and management of AI interaction data for analysis

03Integrating Large Language Models into existing application workflows via webhooks