Developers and small teams that have already received a hefty API bill: an agent that looped all weekend, a key shared by the whole team, no way to know which project burned the budget.
Price verified on 2026-10-29.
LiteLLM (litellm.ai), an open-source proxy that sits between your applications and the model providers (OpenAI, Anthropic, Google…). Everything goes through it: it hands out virtual keys per person, project or agent, tracks every expense and cuts things off cleanly when a budget is reached — instead of discovering the bill at the end of the month.
Trigger: One of your agents or applications calls a model — checks the key and its remaining budget, routes the call to the right model and accounts for the spend, and you get spending attributed to the right key, and calls blocked as soon as a cap is crossed.
Official sources: docs.litellm.ai · github.com · github.com — verified on November 1, 2026.
Free self-hosted (open source); you still pay for your model calls — but capped this time. Free open source version (MIT license) to host yourself; Enterprise offer with support by quote. Price verified on October 29, 2026.
Yes. Free open source version (MIT license) to host yourself; Enterprise offer with support by quote.
Level: Advanced. Setup takes 4 steps; the first: Install LiteLLM self-hosted (Docker) with its database — essential: without it, budgets are not enforced.
A guardrail is only worth anything if it's enabled: LiteLLM's documentation makes clear that without a connected database, budgets simply aren't checked. Test the blocking with a small key before trusting the setup, and also keep the providers' native caps as a second line of defense.
I want a solid second opinion before a big decision
Free software (public repository, no open-source license); you pay for the model calls (about 2 to 3 times the cost of asking a single model).
I want a team of agents that splits up a big job
$0 for the open-source framework and the basic platform (50 runs/month); enterprise platform by quote, plus the cost of the model calls.
I want a custom agent workflow, with every step under control
Free open-source library; you pay for the model calls, and for LangSmith if you take it (free to start, then $39/user/month).
I want agents that debate each other until they find the solution
Free and open source; you pay for the model calls used by the agents — a multi-round debate costs several times a simple answer.
I want to plug my own tools and data into my agents
Free: it's an open standard, not a product; each tool you plug in keeps its own pricing.
Profile updated on November 1, 2026 — see what's new at the Directory.