Flows & agents

Agents that can act — without running away.

An agent is only useful if it can call tools, and only safe if it can't spiral on cost or loop forever. VernaOne runs models in a governed, provider-agnostic loop where they call web search, web scrape, HTTP request, and your own prompts — under hard cost and iteration caps.

Try VernaOne free → ← All features

~15 providers & tools behind one API — LLMs, media, search & scraping

OpenAIAnthropic ClaudeGoogle GeminiMeta LlamaOpenRouter

DIY agent loops are powerful and dangerous

Hand-built agent loops tie you to one provider's tool-calling format, and without hard limits a misbehaving loop can rack up cost or iterate indefinitely. Wiring tools, parsing tool calls, and enforcing caps is fiddly, provider-specific code.

Swap the model and much of it has to be rewritten.

How governed tool-calling works

  1. 1

    A provider-agnostic loop

    The agent loop is normalized across providers, so the model choosing and calling tools isn't locked to one vendor's function-calling dialect.

  2. 2

    Real tools out of the box

    Models can call web search, web scrape, HTTP request, and your own governed prompts — the same capabilities exposed everywhere in VernaOne.

  3. 3

    Hard cost & iteration caps

    Every loop runs under configurable cost and iteration ceilings, so an agent acts within bounds you set instead of spiralling.

  4. 4

    Composes with flows & prompts

    Agentic steps sit alongside deterministic flow steps, so you mix explicit pipelines with model-driven tool use — and every prompt the agent calls is versioned and governed.

Highlights

🤖

Tools: search, scrape, HTTP, prompts

Models call the same real capabilities VernaOne exposes everywhere — plus your own prompts.

🛑

Cost & iteration caps

Hard ceilings are part of the runtime — an agent can't run away on spend or loops.

🔓

Provider-agnostic

The loop is normalized across vendors — swap the model without rewriting the agent.

🧩

Mixes with flows

Combine deterministic pipeline steps with model-driven tool use in one system.

The guardrails — cost and iteration caps — are part of the runtime, not something you remember to bolt on. Agentic tool-calling is in preview.

Ship on this — free to start.

Author a prompt once and call it by name. VernaOne handles the model, the fallback, the cost, and the alerting.

Launch VernaOne →

Frequently asked

What tools can an agent call?

Web search, web scrape, HTTP request, and your own governed prompts — the same capabilities VernaOne exposes across the platform, called by the model inside the agent loop.

How do you stop an agent from running away?

Every agent loop runs under configurable cost and iteration caps that are enforced by the runtime, so it acts within the bounds you set rather than looping or spending indefinitely.

Is agentic tool-calling generally available?

It's in preview. The loop is provider-agnostic and governed with hard caps; you can build against it while it matures.