ai-dial-adapter-bedrock and ai-dial-adapter-vertexai

These tools are **complements** that implement the AI DIAL API for different cloud providers, allowing a developer to integrate with either AWS Bedrock or Google Vertex AI based on their specific cloud infrastructure needs while maintaining a consistent API.

Maintenance 13/25
Adoption 5/25
Maturity 16/25
Community 16/25
Maintenance 13/25
Adoption 5/25
Maturity 16/25
Community 15/25
Stars: 12
Forks: 6
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 12
Forks: 5
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-vertexai

epam/ai-dial-adapter-vertexai

The project implements AI DIAL API for language models and embeddings from Google Vertex AI

This tool helps developers who are building applications using various AI models. It standardizes the way these apps interact with Google Vertex AI's language models, image models, and embedding models. By using this, you can send diverse data like text, PDFs, images, audio, and video to a single interface and receive processed text, images, or video back.

AI-application-development large-language-model-integration multimodal-AI API-standardization generative-AI-engineering

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