General
PromptBeginner5 minmarkdown
subject_expression: A fierce
determined gaze looking ahead toward the horizon. The face is set in a grim
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General
PromptBeginner5 minmarkdown
atmosphere: Epic
raw
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General
PromptBeginner5 minmarkdown
costume: Heavy
authentic Viking attire: a thick bear or wolf fur cloak clasped with an ornate brooch over leather armor reinforced with iron plates or chainmail. A large
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General
PromptBeginner5 minmarkdown
color_palette: Dominated by cold
natural tones: deep sea blues and grays
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General
PromptBeginner5 minmarkdown
lighting: Cold
diffused Northern daylight. It's moody and overcast
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General
PromptBeginner5 minmarkdown
camera_angle: Medium-long shot
slightly low-angle
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General
PromptBeginner5 minmarkdown
emotion: Fierce
commanding
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General
PromptBeginner5 minmarkdown
Viking
{
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General
PromptBeginner5 minmarkdown
prompt: You will perform an image edit using the person from the provided photo as the main subject. The face must remain clear and unaltered. Transform the subject into a formidable **Viking Jarl or Shieldmaiden**
standing commanding at the prow of a longship sailing through a dramatic Norwegian fjord. Emphasize rugged textures of fur and metal
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General
PromptBeginner5 minmarkdown
location: The wooden prow of a carved dragon-headed longship
cutting through dark
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General
PromptBeginner5 minmarkdown
**Vercel AI SDK**: Arcjet works alongside the Vercel AI SDK. Call `protect()` before `streamText()` / `generateText()`. If denied
return a plain error response instead of calling the AI SDK.
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General
PromptBeginner5 minmarkdown
**Multiple models / providers**: Use the same Arcjet instance regardless of which AI provider you use. Arcjet operates at the HTTP layer
independent of the model provider.
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General
PromptBeginner5 minmarkdown
Adapt the response format to your framework (e.g.
`res.status(429).json(...)` for Express).
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General
PromptBeginner5 minmarkdown
- `list-requests` — confirm decisions are being recorded
filter by conclusion to see blocks
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General
PromptBeginner5 minmarkdown
detectPromptInjectionMessage: userMessage
// injection detection
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General
PromptBeginner5 minmarkdown
return Response.json({ error: Forbidden }
{ status: 403 });
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General
PromptBeginner5 minmarkdown
console.warn(Arcjet error:
decision.reason.message);
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General
PromptBeginner5 minmarkdown
sensitiveInfoValue: userMessage
// PII scanning
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General
PromptBeginner5 minmarkdown
requested: 1
// tokens to deduct for rate limiting
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General
PromptBeginner5 minmarkdown
const decision = await aj.protect(req
{
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Coding & Debugging
PromptBeginner5 minmarkdown
Always include `shield()` (WAF) and `detectBot()` as base layers. Bots scraping AI endpoints are a common abuse vector. For endpoints accessed via browsers (e.g. chat interfaces)
consider adding Arcjet advanced signals for client-side bot detection that catches sophisticated headless browsers. See https://docs.arcjet.com/bot-protection/advanced-signals for setup.
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General
PromptBeginner5 minmarkdown
Pass the `requested` parameter at `protect()` time to deduct tokens proportional to model cost. For example
deduct 1 token per message
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General
PromptBeginner5 minmarkdown
Set `characteristics` to track per-user: `[userId]` if authenticated
defaults to IP-based.
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General
PromptBeginner5 minmarkdown
Use `tokenBucket()` / `token_bucket()` for AI endpoints — the `requested` parameter can be set proportional to actual model token usage
directly linking rate limiting to cost. It also allows short bursts while enforcing an average rate
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