Swytchcode is a CLI execution layer that sits between your AI agent and production APIs like Origami.chat—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 origami" to pull the Origami.chat manifest and you're ready to call it from your agent.

How does an AI agent actually call the Origami.chat API through Swytchcode?

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

Swytchcode assigns every Origami.chat 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 Origami.chat actions my agent is allowed to run?

Yes. Allow and deny rules, available on every plan, can limit which Origami.chat 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 Origami.chat credentials?

You authenticate once, and Swytchcode stores and refreshes your Origami.chat 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 Origami.chat SDK integration for my agent?

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

How is calling Origami.chat 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 Origami.chat you didn't explicitly approve.

Do I need a specific framework to call Origami.chat?

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 Origami.chat?

Yes. Every Origami.chat 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

API Integration

Origami.chat API for AI Agents

Origami is an AI-driven B2B lead generation, enrichment, and outbound messaging platform. The v3 REST API provides 120 operations spanning four functional areas: • Jobs: Shared async task manager (202 Accepted with Job UUID), supporting progress tracking, polling (GET /jobs/{job_id}), and input handling. • Account: Org management, credits & usage tracking, rate limits, child projects, AI chat agents, sender accounts (IMAP/SMTP/OAuth with warmup controls), domain purchasing/DNS, mailboxes, and webhooks. • Leads: Contact lists, row-level upserts/deletions, custom columns, AI research enrichments, and automated prospect searches. • Send: Multi-channel outbound campaigns, sequence drafting, sender assignment, recipient schema management, manual approvals, and reply tracking. Call the Origami.chat 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: Origami.chat
Category: General
License: Proprietary
Manifest: origami
Official site: origami.chat
API docs: View docs

Use cases

What can you build with the Origami.chat API?

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

Catch-up assistant

Lookup assistant

Failure watcher

Status writer

Record assistant

Access advisor

Setup guide

How to connect the Origami.chat API to an AI agent

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

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

FAQ

Frequently asked questions

Build me an Origami.chat AI assistant

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