AI Prompt Engineering
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Prompt engineering methods and practical AI use-case examples
Table of Contents
- 1. API Keys and Authentication Endpoint
- 2. Create Prompt Endpoint for Use Cases
- 3. List Prompts Endpoint with Filters
- 4. Webhook Events for Prompt Workflows
- 5. Error Codes and Retry Logic Endpoint
Preview: API Keys and Authentication Endpoint
A short excerpt from “API Keys and Authentication Endpoint”. The full book contains 5 chapters and 3,923 words.
Overview
Every authenticated call to the AI service must include a valid API key and pass an authorization check at the authentication endpoint. This section documents the authentication endpoint contract and the exact headers you must send to enable secure, auditable access using the Zero-Leak Key Vault Method.
Quick Reference
| Item | Value |
|---|---|
| Auth endpoint | `POST /v1/authenticate` |
| Auth header | `Authorization: Bearer ` |
| Content-Type | `application/json` |
| Key vault method | Store keys only in a secure vault/secret manager; never in source control, logs, or client-side code |
| Typical outputs | `access_token` + `expires_at` for subsequent API calls |
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
| `Authorization` (header) | `string` | Yes | Must be `Bearer `. The API key is the long-lived credential. |
| `Content-Type` (header) | `string` | Yes | Must be `application/json`. |
| `client_id` (body) | `string` | No | Optional identifier used for audit correlation (for example, your service name). |
| `scope` (body) | `string` | No | Optional permissions scope string (for example, `prompts:read prompts:write`). |
| `request_id` (body) | `string` | No | Idempotency/audit correlation ID; if omitted, server generates one. |
| `user_agent` (body) | `string` | No | Optional client metadata recorded server-side for diagnostics. |
Code Example
# Use a secret manager value; never hardcode the API key.
# Example: export API_KEY from your vault at runtime.
export API_KEY="$(printenv API_KEY_FROM_VAULT)"
curl -sS -X POST "https://api.example.com/v1/authenticate" \
-H "Authorization: Bearer ${API_KEY}" \
-H "Content-Type: application/json" \
-d '{
"client_id": "prompt-engineering-service",
"scope": "prompts:read prompts:write",
"request_id": "req_01J6Z3KQX5P7S1T9A2B3C4D5"
}'// Node.js example using fetch. Assumes API_KEY is loaded from a server-side secret store.
import crypto from "crypto";
const API_KEY = process.env.API_KEY_FROM_VAULT; // do not log this
const AUTH_URL = "https://api.example.com/v1/authenticate";
const requestId = `req_${crypto.randomBytes(12).toString("hex")}`;
const res = await fetch(AUTH_URL, {
method: "POST",
headers: {
"Authorization": `Bearer ${API_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
client_id: "prompt-engineering-service",
scope: "prompts:read prompts:write",
request_id: requestId,
}),
});
if (!res.ok) {
const err = await res.text(); // avoid printing API_KEY; redact if logging
throw new Error(`Auth failed: HTTP ${res.status} ${err}`);
}
const data = await res.json();
// data.access_token is used to authenticate subsequent requests.
console.log("authenticated", data.access_token ? "true" : "false");Response Format
{
"access_token": "string",
"token_type": "Bearer",
"expires_at": "2026-07-28T12:34:56Z",
"request_id": "string",
"scope": "string"
}Field descriptions:
- `access_token`: Short-lived token used in future `Authorization` headers (`Bearer `).
- `token_type`: Always `Bearer` for this endpoint.
- `expires_at`: ISO-8601 timestamp; client must refresh before expiry.
- `request_id`: Correlation ID to trace authentication attempts.
- `scope`: Effective scope granted by the server.
Notes & Best Practices
- Zero-Leak Key Vault Method: Keep the long-lived API key only in a server-side secret manager (AWS Secrets Manager, GCP Secret Manager, Vault). Never commit it to git, inject it into front-end bundles, or write it to logs.
- Do not confuse credentials: Use the API key for `/v1/authenticate`, then use the returned `access_token` for subsequent calls.
- Rate limits and retries: On `429 Too Many Requests`, retry with exponential backoff and respect any `Retry-After` header if present.
- Error handling: Treat `401/403` as credential/scope failures (no retries without changing inputs); treat `5xx` as transient and retry idempotent auth attempts using `request_id`.
Authentication is the gate. Once you can reliably mint an `access_token`, the next chapter can focus on how to pass authenticated context into prompt and completion endpoints without leaking secrets through logs or request payloads.
About this book
"AI Prompt Engineering" is a technical book by Anonymous with 5 chapters and approximately 3,923 words. Prompt engineering methods and practical AI use-case examples.
This book was created using Inkfluence AI, an AI-powered book generation platform that helps authors write, design, and publish complete books. It was made with the AI Documentation Generator.
Frequently Asked Questions
What is "AI Prompt Engineering" about?
Prompt engineering methods and practical AI use-case examples
How many chapters are in "AI Prompt Engineering"?
The book contains 5 chapters and approximately 3,923 words. Topics covered include API Keys and Authentication Endpoint, Create Prompt Endpoint for Use Cases, List Prompts Endpoint with Filters, Webhook Events for Prompt Workflows, and more.
Who wrote "AI Prompt Engineering"?
This book was written by Anonymous and created using Inkfluence AI, an AI book generation platform that helps authors write, design, and publish books.
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