Overview
Manifest is an open-source LLM router designed to intelligently orchestrate requests across multiple large language models so you can ship AI features faster and cheaper. Built for modern AI stacks, Manifest optimizes which model is called for each request based on latency, pricing, quality constraints, and your own routing rules. This allows teams to offload routine workloads to more cost-effective models while reserving premium models for critical prompts—cutting infrastructure spend by up to 70% without sacrificing user experience.
Manifest integrates seamlessly into existing applications through a clean API and flexible configuration. You can define routing strategies, fallback logic, and model selection criteria in code or configuration files, then monitor performance through structured logs and metrics. Because it is fully open source, you retain control over data, deployment, and customization, whether you run it on your own servers, within Kubernetes, or alongside OpenClaw-based systems.
Ideal for AI-first products, internal tools, and experimentation environments, Manifest helps engineering teams avoid hard-coding model choices and vendor lock-in. Swap providers, introduce new open-source models, or run A/B tests on different LLMs with minimal changes to your codebase. With Manifest, you get an extensible routing layer that makes your LLM usage more reliable, observable, and cost-efficient—so you can focus on building better AI experiences rather than managing complex model fleets.
Pricing
Free
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Use Cases
- Optimize chat and assistant backends by routing simple prompts to cheaper models while reserving high-end LLMs for complex reasoning.
- Power AI developer platforms that need a unified interface to multiple commercial and open-source LLM providers.
- Run A/B tests across different language models to compare quality, latency, and cost before standardizing on a stack.
- Build internal tools that must meet strict budget constraints while still supporting reliable AI-driven workflows.
- Migrate between LLM vendors or add new models without refactoring application logic or breaking client integrations.
Features
Dynamic multi-LLM routing
Cost-aware model selection
Latency and quality tuning
Configurable fallbacks and retries
Vendor-agnostic API interface
Open-source and self-hostable
Detailed logs and metrics
Easy integration with OpenClaw
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FAQ
What is Manifest and how does it work?
Manifest is an open-source LLM router that sits between your application and multiple language models. It inspects each request and routes it to the most suitable model based on rules you define—such as cost limits, latency targets, or quality requirements—while handling fallbacks and retries automatically.
How can Manifest reduce my LLM costs by up to 70%?
Manifest lets you route routine or low-risk traffic to cheaper models and reserve expensive, high-quality models only for requests that truly need them. By tuning routing strategies and monitoring usage, teams often significantly reduce overall token spend without changing their product UX.
Do I have to change my existing LLM code to use Manifest?
In most cases, you only need to point your LLM calls to Manifest's API endpoint instead of directly to a single provider. Your routing logic, provider configs, and model choices are then centralized in Manifest, which minimizes changes to application code.
Is Manifest really free and open source?
Yes. Manifest is released as an open-source project, so you can inspect the code, run it on your own infrastructure, and customize it to fit your needs without licensing fees. You only pay for the underlying LLM providers you choose to use.
Which LLM providers and models does Manifest support?
Manifest is designed to be vendor-agnostic and can work with a wide range of commercial and open-source LLMs exposed via API. You can configure multiple providers, add new models as they become available, and swap them out without changing your client code.