Hecate: Open-source AI Gateway and Agent Runtime

Hecate routes OpenAI/Anthropic traffic to local/cloud models, controls spend, and runs agents with policies and traceability.

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Hecate: Open-Source AI Gateway and Agent Runtime

Hecate is an open-source project designed to provide a robust gateway and runtime environment for AI agents. It facilitates the routing of requests to various AI models, both local and cloud-based, offering developers fine-grained control over their AI infrastructure. This tool is particularly valuable for managing costs, enforcing policies, and ensuring traceability in AI agent deployments.

What Hecate Does

Hecate acts as an intermediary for AI model interactions. It intercepts requests intended for services like OpenAI and Anthropic and intelligently routes them to the most appropriate model endpoint. This could be a locally hosted model for cost savings or privacy, or a cloud-based model for scalability and access to the latest capabilities. Beyond routing, Hecate provides essential features for managing AI agent execution, including spend control and policy enforcement.

Key Features

AI Model Routing: Seamlessly directs traffic to local or cloud-based OpenAI/Anthropic compatible models.
Spend Control: Implement mechanisms to monitor and limit AI inference costs.
Agent Runtime: Execute AI agents with defined policies and execution environments.
Policy Enforcement: Define and enforce rules for AI agent behavior and resource utilization.
Traceability: Log and track AI interactions for auditing and debugging purposes.
Open-Source: Built on an open-source foundation, fostering community contribution and transparency.

Who Hecate is For

Hecate is an essential tool for AI developers , ML engineers , and DevOps professionals working with AI agents and large language models. It is ideal for those looking to:

Optimize AI inference costs by leveraging local models.
Build and deploy AI agents with predictable behavior and resource usage.
Maintain visibility and control over AI model interactions.
Integrate diverse AI models into a unified workflow.
Ensure compliance and auditability in AI applications.