Behest vs direct LLM APIs
Each provider caps its own bill. Behest controls all of them.
OpenAI and Anthropic each give you spend limits, dashboards, and model restrictions for their own models. Behest puts every provider under one set of budgets, attribution, and policy, using the OpenAI request format.
The short version
What does Behest add over calling an LLM API directly?
OpenAI and Anthropic ship per-project spend limits, usage dashboards, and model restrictions, each for its own models only. Behest is the control plane for enterprise AI: one place to attribute, budget, and govern calls across every provider, with private-data scrubbing on the Enterprise plan, using the OpenAI request format.
What you get beyond a provider console
One view across every provider
Spend is attributed to each user, session, and project across OpenAI, Anthropic, Gemini, and others, instead of a separate dashboard per provider, with chargeback reports for finance. Behest also classifies what each AI call is used for, not just what it cost.
One budget, not one per provider
Hard budgets block the call before the invoice, across providers. Cost-aware routing picks the model that fits the use case and can lower model costs up to ~30%, depending on use case.
One policy for models and data
Decide which teams can use which models across providers. On the Enterprise plan, personal information is removed before a prompt reaches any model and prompt attacks are blocked.
Side by side
What the provider consoles document for their own models, next to what Behest ships across all of them.
| Capability | Behest | Direct LLM APIs |
|---|---|---|
| Optimize: cost-aware routing across providers | ||
| See: prompt classification, what each AI call is used for | ||
| See: spend attributed to each user, session, and project | Partial | |
| See: usage dashboards and analytics | ||
| Control: hard budgets that block the call before the invoice | Partial | |
| Control: chargeback reports for finance | Partial | |
| Govern: private data removed before the model sees it | Yes (Enterprise plan) | ? |
| Govern: prompt attacks blocked | Yes (Enterprise plan) | ? |
| Govern: which teams can use which models | Partial | |
| Run: SaaS or your own cloud | N/A | |
| Run: safe AI calls from a web page, with sign-in |
"No" on the first two rows because a single provider cannot route to another provider, and provider consoles report tokens and cost, not what each call was used for. "Partial" means per project or workspace on one provider at a time (OpenAI and Anthropic enforce spend limits; Gemini budgets on Google Cloud alert only by default). "?" means it is not documented in publicly available materials. "N/A" means the provider hosts the model, so there is nothing to self-host. Private-data removal and prompt-attack defense are Enterprise plan capabilities in Behest.
Frequently asked questions
- Do OpenAI and Anthropic have spend limits?
- Yes, for their own models. OpenAI lets you set a monthly spend limit per project and Anthropic lets you cap monthly spend per workspace; Gemini budgets on Google Cloud alert by default and need extra automation to cap spend. None of them can see or limit what you spend with another provider. Behest applies one budget across all of them.
- How does Behest compare to calling LLM APIs directly?
- Direct APIs give you the models, streaming, per-project spend limits, and usage dashboards for one provider at a time. Behest is the control plane for enterprise AI: it attributes spend to each user and project, enforces budgets, controls model access, and routes on cost and policy across every provider, as SaaS or in your own cloud.
- Does Behest use the same API format as OpenAI?
- Yes. Behest accepts the same POST /v1/chat/completions request format, so existing code and SDKs keep working. Switching is one URL change: point your calls at your Behest project instead of the provider.
- Can I call OpenAI or Anthropic directly from my web app?
- Not safely. The OpenAI, Anthropic, and Gemini APIs are built for server-side calls; calling them straight from a browser exposes your API key to anyone who opens the page. Behest gives your web app a safe endpoint with sign-in built in, so the key stays private.
Ready for one control plane?
One set of budgets, attribution, and policy across every provider, in our cloud or yours. See it on your own AI stack.
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