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Use this guide to integrate DialNexa APIs with AI coding agents in an existing product. The prompts on this page tell Codex, Cursor, or Claude Code to inspect your repository, use the current DialNexa v1 contract, implement the requested server-side flow, add tests, and report the manual steps that remain.
Review every change before deployment. The prompts do not authorize an AI coding agent to place a real call, start a batch, purchase a phone number, delete a resource, or change production.

Integrate DialNexa APIs With AI Coding Agents

An AI coding agent can complete most repository work for a DialNexa integration, including the HTTP client, application wiring, webhook handler, tests, configuration examples, and developer notes. A person still controls secrets, DialNexa workspace configuration, production deployment, and billable tests.

When To Use This Guide

Use these prompts when you already have a codebase and want to add a specific DialNexa API workflow. Good examples include:
  • Place an outbound call after a lead submits a form.
  • Save a DialNexa call ID against a CRM record.
  • Receive call.completed and call.failed webhooks.
  • Create or update agents from an internal backend service.
  • Add leads to a workflow from your application.
  • Start a batch call from an approved server-side process.
If you only want to test the API manually, start with the API Quickstart. If you need a reusable HTTP pattern before involving a coding agent, see the TypeScript and Python examples.

Before You Begin

  1. Open the application repository in Codex, Cursor, or Claude Code.
  2. Check that the coding agent can read files, edit files, and run your test commands.
  3. Write down the application event that starts the flow and the result your product should store or display.
  4. Create a DialNexa API key under Settings > API Keys, but do not paste the key into the prompt or chat.
  5. Decide whether the first run should stop after mocked tests or include a read-only request to your DialNexa workspace.
DialNexa does not currently publish a first-party server SDK. The coding agent should use your language’s HTTP client and the current OpenAPI document.

Step 1: Describe The Integration Outcome

Replace the bracketed fields inside your chosen prompt. Describe product behavior rather than naming an endpoint alone.
For example:

Step 2: Copy The Prompt For Your Coding Agent

Each prompt is complete and can be pasted into a new agent session opened at the root of your application repository.

Step 3: Review The Result

Before deploying the generated integration, confirm each item below.
  • The DialNexa API key is read only by server-side code.
  • Every API path uses https://api.dialnexa.com/v1.
  • Request and response fields match the current OpenAPI document.
  • Normal automated tests use mocked HTTP responses and do not place calls.
  • Billable or state-changing requests are not retried blindly.
  • Outbound calls include stable correlation metadata and store the returned call ID.
  • Webhook signatures are checked against the raw body before JSON parsing.
  • Logs redact API keys, webhook secrets, phone numbers, and sensitive metadata.
  • The coding agent reports which checks were mocked and which used the live API.
For a real outbound test, use a destination you control and confirm that its country and prefix are enabled under Workspace Settings > Telephony Config. A 201 response only confirms that DialNexa accepted the call request. Use Get Call Details or a signed webhook to verify the final result.

Troubleshooting AI-Generated Integrations

What End-To-End Means Here

The prompt is complete when the coding agent has implemented the repository changes, passed the relevant local checks, and given you exact staging verification steps. Production deployment and any real, billable action remain separate approvals.

API Quickstart

Create an agent, publish it, place one call, and read the result with direct API requests.

API Fundamentals

Authenticate requests, paginate responses, handle errors, and retry safely.

Webhooks

Verify signed events and process asynchronous outcomes.

TypeScript And Python Examples

Review complete HTTP patterns for calls and signed webhooks.