Swytchcode is a CLI execution layer that sits between your AI agent and production APIs like VerbAI—handling authentication, retries, idempotency, and policy control so your agent can call real APIs safely instead of failing silently.

How do I get started with Swytchcode?

Run "npx swytchcode" to install the CLI—no account required. Then run "swytchcode get verbai" to pull the VerbAI manifest and you're ready to call it from your agent.

How does an AI agent actually call the VerbAI API through Swytchcode?

Your agent runs "swytchcode exec verbai. " with arguments. Swytchcode validates the call against the VerbAI manifest schema, attaches your stored credentials, executes the request, and returns structured JSON your agent can act on—no auth or HTTP handling lives in your agent's code.

What happens if a VerbAI call fails, times out, or hits a rate limit?

Swytchcode assigns every VerbAI call an idempotency key and retries it automatically on transient failures or rate limits. If your agent re-runs the same action, Swytchcode recognizes the retry and prevents duplicate writes—a raw HTTP call wouldn't give you that safety net.

Can I restrict which VerbAI actions my agent is allowed to run?

Yes. Policy rules in "tooling.json" let you allowlist or blocklist specific VerbAI actions—for example, allow read-only calls but block anything destructive, or require approval above a threshold. Swytchcode enforces this before the call reaches VerbAI, not after.

Where does Swytchcode store my VerbAI credentials?

You authenticate once, and Swytchcode stores and refreshes your VerbAI credentials server-side. Your agent—and the LLM behind it—only ever sees action names and results, never raw API keys or tokens.

Do I need to write a custom VerbAI SDK integration for my agent?

No. "swytchcode get verbai" pulls a pre-built, versioned manifest describing every available VerbAI action and its parameters, so your agent calls actions by name instead of you writing and maintaining request/response glue code.

How is calling VerbAI through Swytchcode different from calling its API directly?

A direct call means you handle token refresh, retries, error parsing, and schema drift yourself, with no guardrails on what the agent can execute. Swytchcode does all of that and checks each call against your policy rules first, so an agent can't do something with VerbAI you didn't explicitly approve.

Do I need a specific framework to call VerbAI?

No. Swytchcode runs as a CLI or MCP server, so any agent, IDE assistant, or script can call it. Use the LLM and framework your team prefers.

Does Swytchcode log what my agent does with VerbAI?

Yes. Every VerbAI call—action, arguments, result, and timestamp—is written to a full audit trail, so you can debug unexpected agent behavior or review exactly what ran in production.

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AI & Machine Learning

API Integration

VerbAI API for AI Agents

Connect the VerbAI API to your AI agent through Swytchcode. Call the VerbAI API from the agent stack you already run. Swytchcode supplies the manifest, then handles authentication, retries, idempotency, and validation on every call.

Connect VerbAI to your agent

Provider: VerbAI
Category: AI & Machine Learning
License: Proprietary
Manifest: verbai
Official site: Not published
API docs: Not published

Use cases

What can you build with the VerbAI API?

Call VerbAI directly from an AI agent without writing custom auth, retry, or error-handling code.

Get the right endpoints and call sequence for the workflow you need, instead of having the agent explore the VerbAI API surface.

Chain VerbAI with other approved integrations in one workflow, each step validated against your policy before it runs.

Give an agent safe read/write access to VerbAI in production, with idempotent retries if a call fails.

Setup guide

How to connect the VerbAI API to an AI agent

Four steps, no SDK, no boilerplate. Every VerbAI call routed through Swytchcode is idempotency-keyed and safe to retry.

1
Install the CLI
Run "npx swytchcode" to install the Swytchcode CLI—no account required to start.
2
Pull the manifest
Run "swytchcode get verbai" to pull the VerbAI API manifest, including its schema and available actions.
3
Authenticate once
Provide your VerbAI API credentials a single time. Swytchcode stores and refreshes them so your agent never handles raw secrets.
4
Call it from your agent
Run "swytchcode exec verbai.<action> --key value" from any agent or script. No SDK, no framework lock-in.

swytchcode get verbai
swytchcode exec verbai.<action> --key value

FAQ

Frequently asked questions

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Ready to connect VerbAI?

Install the CLI and pull your first manifest in under a minute. No account required.

Get started free

VerbAI API for AI Agents

What can you build with the VerbAI API?

How to connect the VerbAI API to an AI agent

Frequently asked questions

What is Swytchcode?

How do I get started with Swytchcode?

How does an AI agent actually call the VerbAI API through Swytchcode?

What happens if a VerbAI call fails, times out, or hits a rate limit?

Can I restrict which VerbAI actions my agent is allowed to run?

Where does Swytchcode store my VerbAI credentials?

Do I need to write a custom VerbAI SDK integration for my agent?

How is calling VerbAI through Swytchcode different from calling its API directly?

Do I need a specific framework to call VerbAI?

Does Swytchcode log what my agent does with VerbAI?

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Ready to connect VerbAI?