Flows & agents
Compose pipelines and agents from governed prompts.
Real AI features are rarely one prompt. VernaOne lets you chain your existing, versioned prompts into multi-step flows on a visual canvas — and lets models call tools in a governed loop — without writing orchestration code.
Try VernaOne free → ← All features
~15 providers & tools behind one API — LLMs, media, search & scraping
Orchestration code is where AI features rot
Multi-step AI logic hand-wired in code becomes a tangle of calls, retries, branching, and array fan-out that no one wants to touch. Adding a step or swapping a model means editing brittle glue, and there's no trace of what ran when it breaks.
Agent loops are worse: without hard caps they can run away on cost and iterations.
How flows and agents work
- 1
Visual flow builder
Chain prompts into pipelines on a canvas. Every node is one of your governed, versioned prompts, so a flow is composed from building blocks you already trust.
- 2
Composable steps
Build from prompt, parallel, map, and transform steps — run work in sequence, concurrently, or across arrays with fan-out and data shaping built in.
- 3
Versioning & run tracing
Version flows like prompts and watch every run with step-level status, retries, and configurable error policies — so failures are visible, not mysterious.
- 4
Agentic tool-calling (preview)
Let a model call tools — web search, web scrape, HTTP request, and your own prompts — inside a governed, provider-agnostic loop with cost and iteration caps so an agent can't run away.
Highlights
Visual canvas
Compose flows from prompt, parallel, map, and transform steps — no orchestration code.
Run tracing
Step-level status, retries, and error policies make every run auditable.
Governed agents
Tool-calling loops with cost and iteration caps keep agents safe and bounded.
Built from your prompts
Every step is a versioned prompt you already govern — reuse, don't rebuild.
Agentic tool-calling runs provider-agnostic with hard cost and iteration caps — the guardrails are part of the runtime, not something you bolt on.
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 step types can a flow use?
Flows are built from prompt, parallel, map, and transform steps — letting you run work in sequence, run branches concurrently, fan out across arrays, and shape data between steps.
Is agentic tool-calling available now?
It's in preview. A model can call web search, web scrape, HTTP request, and your own prompts inside a governed loop with cost and iteration caps that keep it bounded.
Can I see what a flow run did?
Yes. Flows are versioned and every run is traced with step-level status, retries, and configurable error policies, so you can audit exactly what happened.