Open Source Tools for Modern AI Development

Build powerful AI applications with our suite of open-source packages and enterprise-grade services. From LLM integration to agent coordination, Dhenara provides everything you need.

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python

from dhenara.ai import AIModelClient
from dhenara.ai.types import AIModelCallConfig, AIModelEndpoint
from dhenara.ai.types.external_api import AIModelAPIProviderEnum
from dhenara.ai.types.genai import AIModelAPI
from dhenara.ai.types.genai.foundation_models.anthropic.chat import Claude37Sonnet

# Create an API
api = AIModelAPI(
    provider=AIModelAPIProviderEnum.ANTHROPIC,
    api_key="your_api_key",
)

# Create an endpoint using a pre-configured model
model_endpoint = AIModelEndpoint(
    api=api,
    ai_model=Claude37Sonnet,
)

# Configure the api call
client = AIModelClient(
    model_endpoint=model_endpoint,
    config=AIModelCallConfig(streaming=True),
    is_async=False,
)

# Generate a response
response = client.generate(prompt="Explain quantum computing in simple terms")

Built for developers

Everything you need to build AI-powered applications

Our tools are designed to make AI development faster, more flexible, and more reliable, whether you're building a simple application or a complex enterprise system.

Open Source Core: Our core libraries are fully open-source, allowing for community contributions and transparency.
Provider Agnostic: Work with models from OpenAI, Google AI, Anthropic, and other providers through a consistent interface.
Performance Focused: Built for high-performance applications with efficient model integration and streaming support.
Enterprise Ready: Secure, scalable, and ready for enterprise deployment with comprehensive monitoring and support.
Dynamic Model Selection: Switch between models and providers at runtime without reconfiguration or code changes.
Type Safety: Built with Pydantic for robust type checking and validation throughout your application.