ai-dial-adapter-bedrock and ai-dial-adapter-openai

These are **complementary adapters** within the AI DIAL API ecosystem, as one provides integration with AWS Bedrock and the other with Azure OpenAI, allowing developers to target different foundational model providers using a consistent API.

ai-dial-adapter-bedrock
50
Established
Maintenance 13/25
Adoption 5/25
Maturity 16/25
Community 16/25
Maintenance 10/25
Adoption 6/25
Maturity 16/25
Community 17/25
Stars: 12
Forks: 6
Downloads:
Commits (30d): 0
Language: Python
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-adapter-bedrock

epam/ai-dial-adapter-bedrock

The project implements AI DIAL API for language models from AWS Bedrock

This project helps integrate various large language models (LLMs) and embedding models from AWS Bedrock into applications that use the AI DIAL API. It takes text, images, or documents as input and generates text or images as output. This is ideal for developers and solution architects building multi-modal AI applications that need to switch between different LLMs on AWS Bedrock without rewriting their core integration logic.

AI application development Large Language Models (LLM) AWS Bedrock integration API unification multi-modal AI

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

Scores updated daily from GitHub, PyPI, and npm data. How scores work