Dhenara

Unified Python interface for multi-provider LLM integration

Unclaimed

Added Jul 2026

github.com

Llm OrchestrationFreellm-orchestration

Visit Dhenara

Share: X in LinkedIn

Add your screenshot here

Image or video shown in this spot

Get Verified · $10 lifetime

What is Dhenara?

Dhenara AI is an open source Python package that provides a unified, typed interface for calling multiple LLM providers (Anthropic, OpenAI, etc.) through a single client. It simplifies multi-provider LLM integration by abstracting away credential management, model selection, prompt formatting, streaming, tool use, and structured output into consistent core types. Designed for developers building AI applications that need flexibility across different LLM providers.

Explore Dhenara

Need help implementing Dhenara?

Find verified specialists who work with Dhenara

Browse specialists

Key Features of Dhenara

Multi-provider LLM support through single typed interface
Credential management and discovery
Streaming support
Tool use and function calling
Structured output
Async and sync client support
Reasoning mode configuration

Who Should Use Dhenara?

Building AI applications with multiple LLM provider support

Simplifying LLM provider abstraction in Python projects

Managing credentials across different AI model providers

Creating typed LLM client integrations

Developing applications requiring model flexibility

Dhenara: Pros & Cons

✓Pros

Unified interface reduces integration complexity
Supports multiple LLM providers through same API
Open source and freely available
Typed interface for better IDE support and type safety
Flexible credential management with environment variable support
Supports both sync and async operations

Frequently Asked Questions about Dhenara

What LLM providers does Dhenara AI support?

The tool supports multiple providers including Anthropic and OpenAI, with a unified interface to switch between them using AIModelAPIProviderEnum.

How do I set up credentials for Dhenara AI?

Credentials can be loaded from a file path using ResourceConfig.load_from_file() or by setting the DAI_SECRET_CONFIG_DIR environment variable and placing a dai_credentials.yaml file in that directory.

Can I use Dhenara AI asynchronously?

Yes, the AIModelClient supports both synchronous and asynchronous operations via the is_async parameter.

What are the core features included in the client?

The client supports prompt/message formatting, streaming, tool use, structured output, and configurable settings like max output tokens and reasoning mode.