Swytchcode is a CLI execution layer that sits between your AI agent and production APIs like AgentQL—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. Your first 2 live commands don't need an account; after that, run "swytchcode login". Dry runs, --explain, and demos don't count. Then run "swytchcode get agentql" to pull the AgentQL manifest and you're ready to call it from your agent.

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

Your agent runs "swytchcode exec agentql. " with arguments. Swytchcode validates the call against the AgentQL 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 AgentQL call fails, times out, or hits a rate limit?

Swytchcode assigns every AgentQL 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 AgentQL actions my agent is allowed to run?

Yes. Allow and deny rules, available on every plan, can limit which AgentQL actions run. Approval workflows, available on Business and above, hold a matching command until someone approves or denies it in that workspace's Slack or Telegram channel. If nobody responds within 48 hours, the command doesn't run.

Where does Swytchcode store my AgentQL credentials?

You authenticate once, and Swytchcode stores and refreshes your AgentQL 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 AgentQL SDK integration for my agent?

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

How is calling AgentQL 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 AgentQL you didn't explicitly approve.

Do I need a specific framework to call AgentQL?

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 AgentQL?

Yes. Every AgentQL 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.

Get started

Developer Tools & DevOps

API Integration

AgentQL API for AI Agents

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

Copy paste to your AI agent

Visit official site View documentation

Provider: AgentQL
Category: Developer Tools & DevOps
License: Proprietary
Manifest: agentql
Official site: www.agentql.com
API docs: View docs

Use cases

What can you build with the AgentQL API?

Copy a prompt for the kind of AgentQL assistant you want. Each one includes the skills.md setup.

Failure brief

Red build watcher

Deploy checker

Repeat failure finder

Rerun assistant

Standup assistant

Setup guide

How to connect the AgentQL API to an AI agent

Four steps, no SDK, no boilerplate. Every AgentQL 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 agentql" to pull the AgentQL API manifest, including its schema and available actions.
3
Authenticate once
Provide your AgentQL 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 agentql.<action> --key value" from any agent or script. No SDK, no framework lock-in.

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

FAQ

Frequently asked questions

CircleCI

CircleCI integration available through Swytchcode.

Developer Tools & DevOps

DigitalOcean

DigitalOcean integration available through Swytchcode.

Developer Tools & DevOps

Firebase

Firebase integration available through Swytchcode.

Developer Tools & DevOps

GitHub

GitHub integration available through Swytchcode.

Developer Tools & DevOps

Build me an AgentQL AI assistant

Copy the prompt into your agent. It will load Swytchcode and wire up AgentQL.

AgentQL API for AI Agents

What can you build with the AgentQL API?

How to connect the AgentQL 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 AgentQL API through Swytchcode?

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

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

Where does Swytchcode store my AgentQL credentials?

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

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

Do I need a specific framework to call AgentQL?

Does Swytchcode log what my agent does with AgentQL?

Other Developer Tools & DevOps integrations

Build me an AgentQL AI assistant