Tuning Engines

Tuning Engines is a unified AI control and governance layer built for teams that are ready to move beyond isolated experiments and into production-grade intelligence! This powerful platform brings together the full AI lifecycle in one governed system, covering everything from inference and model routing to fine-tuning jobs, datasets, evaluations, and custom models. It is designed for developers, admins, and organizations who need to securely build, deploy, and scale AI across models, agents, tools, and fine-tuned systems.

What makes Tuning Engines truly special is its ability to act as a universal intelligence runtime. It provides a single OpenAI-compatible endpoint that gives you access to over 100 models, including open-weight models like Llama, DeepSeek, and Qwen, as well as frontier commercial models and your own custom-tuned variants. Developers get the flexibility they need with CLI workflows, MCP access, and integrations with popular coding agents like Claude Code, Cursor, and VS Code. Meanwhile, admins get the robust controls required for production, including role-based access, per-key budgets, rate limits, routing profiles, guardrails, policy-as-code, and full auditability. Tuning Engines is built to help organizations create a secure, observable, cost-aware, and extensible AI operating layer where models can be trained, evaluated, routed, governed, and used by agents and tools at scale. And the best part? Infrastructure costs are passed through at-cost with zero markup, so you only pay for support and platform upkeep!

Unified Inference Engine

Access any model through one single, drop-in OpenAI-compatible endpoint! Keep your existing SDK and simply swap one base URL to call open, frontier, or your own tuned models. This feature eliminates the need for code rewrites or learning new clients, letting you focus on building amazing AI applications. With over 100 models available behind one interface, you get centralized policy control, full auditability, and token controls applied to every single request. Whether you are using GPT-4o-mini, Llama 3.3, or a custom fine-tuned model, the experience is seamless and consistent!

Model Tuning and Lifecycle Management

Adapt open models to your specific data, workflows, and production goals with powerful fine-tuning capabilities! Tuning Engines supports supervised fine-tuning and LoRA adapters, allowing you to customize model behavior for your unique tasks. The platform manages the entire model lifecycle, from building and tuning to scaling, all without the headache of managing GPU infrastructure. Run evaluation gates to ensure quality moves with your business, and host your own models with ease. This feature empowers teams to move from prompt to production without rewriting their stack, making AI truly work for their specific needs!

Policy and Governance Controls

Admins get enterprise-grade controls that make production AI safe and predictable! Tuning Engines provides role-based access, per-key budgets, rate limits, routing profiles, and fallback rules to keep your operations running smoothly. Implement guardrails and policy-as-code with AGT YAML policies to enforce your organization's rules across every interaction. Full request traceability and usage traces give you complete auditability, while tenant isolation and team management ensure that different projects and groups stay secure and independent. This is the control layer that lets you govern AI with confidence!

Token Economics and Cost Management

Take control of your AI spending with powerful token economics features! Tuning Engines allows you to set cost ceilings, quotas, and rate limits so that spend and rate limits stay predictable and under control. With infrastructure costs passed through at-cost with zero markup, you get transparent pricing without hidden fees. Use routing profiles and fallback policies to optimize for cost and performance, ensuring you always get the best value from your AI operations. This feature is a game-changer for organizations that need to scale AI without blowing their budget!

Code Assistance and IDE Copilots

Build powerful code assistance tools that integrate seamlessly with popular development environments! Tuning Engines supports integrations with Claude Code, OpenCode, Aider, Cline, Roo, Continue.dev, Cursor, VS Code, and Windsurf. Developers can create IDE copilots, code generation tools, refactoring agents, and debugging assistants that leverage a wide range of models through a single governed platform. This use case accelerates development workflows by providing intelligent, context-aware code help while maintaining centralized policy control and auditability across all AI interactions!

Conversational AI and Customer Support

Deploy sophisticated conversational AI systems for customer support bots, internal helpdesks, and multilingual chat applications! With Tuning Engines, you can route conversations to the best model for each task, apply guardrails to ensure safe and appropriate responses, and use fine-tuned models that understand your specific domain and terminology. The unified API makes it easy to swap models as better options become available, while the governance layer ensures that every customer interaction is secure, auditable, and compliant with your policies!

Agentic Systems and Multi-Step Reasoning

Create powerful agentic systems that can perform multi-step reasoning, planning, and tool-using execution pipelines! Tuning Engines provides MCP servers, reusable skills, and resource catalogs for models, agents, tools, and skills that make building complex AI agents straightforward. Developers can connect their agents to a wide range of models and tools through a single governed platform, ensuring that every step of the agent's reasoning process is observable, auditable, and under policy control. This is the perfect foundation for building the next generation of autonomous AI systems!

Enterprise RAG and Knowledge Retrieval

Build secure, scalable retrieval-augmented generation (RAG) systems over your enterprise knowledge bases and private documents! Tuning Engines supports semantic search, enterprise assistants, and personalized recommendations by providing access to embedding models and powerful LLMs through a single API. The platform's governance layer ensures that sensitive enterprise data is protected with role-based access and audit trails, while the unified inference engine allows you to choose the best model for each retrieval and generation task. Move your enterprise AI from prototype to production with confidence!

What models are available on Tuning Engines?

Tuning Engines gives you instant access to a massive library of over 100 models! This includes popular open-weight models like Llama 3.3 70B, Llama 3.1 8B, DeepSeek V3, DeepSeek R1, Qwen 2.5 72B, Qwen 2.5 Coder 32B, Mistral Small 3, Mixtral 8x7B, Gemma 2 27B, and Llama 3.2 Vision. You also get access to frontier commercial models and any model you fine-tune with the platform. All of these are accessible through one single OpenAI-compatible endpoint, making it incredibly easy to experiment with and deploy different models for your specific use cases!

How does the pricing work for Tuning Engines?

Tuning Engines has a transparent and developer-friendly pricing model! Infrastructure costs for running models are passed through to you at-cost with zero markup. This means you only pay the actual cost of the compute resources used, without any hidden fees or inflated margins. You then pay Tuning Engines separately for the platform support and upkeep, which covers the governance layer, policy controls, auditability, and all the powerful features that make the platform so valuable. This approach ensures you get the best possible pricing for inference while benefiting from a world-class AI operating layer!

Can I use my existing OpenAI SDK with Tuning Engines?

Absolutely! Tuning Engines is designed to be a drop-in replacement for your existing OpenAI setup. Simply point your existing OpenAI SDK at the Tuning Engines endpoint (https://api.tuningengines.com/v1/) and use your Tuning Engines API key. You can keep all your existing code and just change the base URL. This means no code rewrites, no new clients to learn, and zero disruption to your development workflow. You instantly gain access to over 100 models plus all the powerful governance, policy, and cost management features!

How does Tuning Engines help with AI governance and compliance?

Tuning Engines provides a comprehensive governance layer that makes production AI safe, auditable, and compliant! Admins get role-based access control, per-key budgets, rate limits, routing profiles, and fallback rules to enforce organizational policies. The platform supports guardrails and policy-as-code with AGT YAML policies, ensuring every AI interaction follows your rules. Full request traceability and usage traces provide complete auditability for compliance requirements. With tenant isolation and team management, you can keep different projects and groups secure and independent. This is the control layer that lets you deploy AI at scale with confidence!