ai-dial and ai-dial-adapter-openai

The projects are ecosystem siblings, specifically a core platform and its client library, where `epam/ai-dial-adapter-openai` provides an implementation of the AI DIAL API for Azure OpenAI, extending the functionality of the `epam/ai-dial` platform.

ai-dial
57
Established
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 21/25
Maintenance 10/25
Adoption 6/25
Maturity 16/25
Community 17/25
Stars: 123
Forks: 36
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 15
Forks: 9
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
No Package No Dependents
No Package No Dependents

About ai-dial

epam/ai-dial

Documentation for AI DIAL

This project helps developers and DevOps engineers deploy and manage a unified platform for large language model (LLM) applications. It takes various LLM services (Azure OpenAI, AWS Bedrock, GCP VertexAI, or self-hosted models) and provides a customizable, integrated chat application with administrative controls. The primary users are developers building LLM-powered applications and operations teams responsible for deploying and maintaining them.

LLM deployment chatbot development cloud infrastructure DevOps AI platform management

About ai-dial-adapter-openai

epam/ai-dial-adapter-openai

The project implements AI DIAL API for language models from Azure OpenAI

This project helps developers integrate various large language models (LLMs) from Azure OpenAI and OpenAI platforms into a unified system using the DIAL Core protocol. It takes requests in the DIAL API format and translates them for different upstream LLM services, returning a standardized response. Software architects and AI solution developers who are building multi-modal AI applications that leverage multiple LLMs will find this useful.

AI solution architecture LLM integration multi-modal AI API standardization Azure OpenAI

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