Enterprise AI
Made Simple
Build powerful AI applications with our complete ecosystem: from open-source libraries to enterprise-grade agent coordination. Dhenara provides everything you need to develop, deploy, and scale AI solutions.
from dhenara.agent.dsl import PLACEHOLDER, AIModelNode, AIModelNodeSettings, EventType, FlowDefinition
from dhenara.ai.types import AIModelCallConfig, Prompt
test_mode = False
models_with_options = {
"gpt-image-1": { "quality": "medium", "size": "1536x1024", "n": 2},
"imagen-3.0-generate": { "aspect_ratio": "16:9", "number_of_images": 1, "person_generation": "dont_allow"},
"imagen-3.0-fast-generate": { "aspect_ratio": "16:9", "number_of_images": 1, "person_generation": "dont_allow"},
}
single_img_flow = FlowDefinition()
single_img_flow.vars({"task_spec": PLACEHOLDER})
single_img_flow.node(
"image_generator",
AIModelNode(
models=list(models_with_options.keys()),
pre_events=[EventType.node_input_required],
settings=AIModelNodeSettings(
system_instructions=[ "You are a professional image generation agent."],
prompt=Prompt.with_dad_text("$expr{task_spec.prompt}. Create image"),
model_call_config=AIModelCallConfig( options={}),
save_generated_bytes=True,
bytes_save_path=global_image_directory,
bytes_save_filename_prefix="$expr{task_spec.filename}",
sleep_after=20,
),
),
)
multi_image_flow = FlowDefinition()
multi_image_flow.vars({"image_task": image_task})
multi_image_flow.for_each(
id="image_gen_loop",
statement="$expr{image_task.task_specifications}",
item_var="task_spec",
max_iterations=20,
body=single_img_flow,
) Built for developers and enterprises
Everything you need to build enterprise AI solutions
Our tools are designed to make AI development faster, more flexible, and production-ready, whether you're building a simple application or managing complex enterprise AI workflows.
- Open Source Foundation
- Our core libraries are fully open-source, providing transparency and allowing for community contributions.
- Enterprise Coordination
- Deploy and manage AI agents at scale with Dhenara Hub's enterprise-grade coordination platform.
- Production Ready
- Built for high-performance applications with efficient model integration, monitoring, and enterprise security.
- Provider Agnostic
- Work with models from OpenAI, Google AI, Anthropic, and other providers through a consistent interface.
- Dynamic Scaling
- Scale your AI agents from development to production with automatic scaling and resource management.
- Type Safety
- Built with Pydantic for robust type checking and validation throughout your AI applications.
Product Suite
Complete ecosystem for AI development and deployment
From open-source libraries to enterprise services, our integrated product suite provides everything you need to build, deploy, and scale AI solutions in production.
Dhenara Hub
Enterprise-grade platform for developing, running, coordinating, monitoring, debugging and scaling AI agents in production environments.
- Agent coordination and orchestration
- Production-ready deployment tools
- Comprehensive monitoring and analytics
- Enterprise security and compliance
- Cost tracking and optimization
- Team collaboration features
Dhenara Agent DSL (DAD)
Open-source framework built on dhenara-ai for AI agent creation with its own powerful DSL.
- Component-based architecture
- Expressive agent definition
- Comprehensive observability
- Reproducible execution
- Event-driven workflows
- Extensible node system
Dhenara-AI
Open-source Python package for simplified LLM API interactions across providers.
- Unified API across multiple providers
- Type safety with Pydantic
- Easy regeneration across providers
- Streaming support
- Cost tracking and monitoring
- Extensible design
Dhenara Chat
Provider-agnostic AI chat platform built with the dhenara-ai framework. Chat with a wide range of model from Anthropic, OpenAI, Google and more. Generate text and image outputs.
- Multiple model providers
- Custom knowledge bases
- Enterprise security
- Transparent pricing
- Real-time usage tracking
- Seamless deployment
