Manifest Guide — Route Your AI Agents to Any LLM Provider

Tired of Being Locked Into One LLM Provider?

I've been there. You build a cool AI agent, it works beautifully with OpenAI, and then — bam — the pricing changes, or a new model drops that's 10x cheaper but switching means rewriting half your code. That's the exact problem Manifest solves, and honestly, I wish I'd found it sooner.

Manifest is an open-source LLM router that sits between your AI agents and every major LLM provider. Think of it as a universal adapter for your AI stack — one OpenAI-compatible endpoint, and behind the scenes it routes each query to the best provider based on what you need.

Why Manifest? Three Things That Won Me Over

1. Mix and Match Providers — Without Code Changes

This is the killer feature. You can route some queries to OpenAI, others to Anthropic, and keep a local Ollama model for cheap stuff — all through the same endpoint. I connected my API keys, my subscription credits, and even a local model, and Manifest just... worked. No SDK changes, no new libraries.

2. Real Cost Tracking (Not Just a Dashboard)

Most "cost tracking" tools just show you pretty charts. Manifest sends you notifications when spending hits thresholds you set. I set a $50 monthly limit on a dev project, and when I accidentally left a batch job running, it caught it within minutes. That alone saved me from a nasty surprise bill.

3. Automatic Fallback (Saved My Weekend)

I had an agent that relied on OpenAI's GPT-4 for critical tasks. One weekend, OpenAI was down for about 40 minutes. With Manifest, it automatically fell back to Anthropic's Claude without me lifting a finger. My agent kept running, and I only found out about the outage from Twitter later.

Who Is Manifest For?

Honestly? If you run any AI agent that makes LLM calls, you probably need this. But especially:

• AI developers building multi-provider apps who don't want vendor lock-in
• Teams managing costs across different projects and API keys
• Self-hosters who want to mix local models with cloud APIs

Who shouldn't use it? If you're just prototyping with a single API key and no plans to scale, it might be overkill. But once you have more than one provider or care about costs, it's a no-brainer.

Quick Stats

Conclusion

Manifest is one of those tools that makes you wonder how you lived without it. It's not flashy — it's useful. It does one thing (route LLM calls intelligently) and does it really well. After a week of using it, I can say: the cost tracking alone is worth the setup time, and the fallback feature is the kind of insurance you don't appreciate until you need it.