Perplexity policy guardrails
'Implement content moderation, model selection policy, citation quality enforcement,From its SKILL.md
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Perplexity Policy Guardrails
Overview
Policy enforcement for Perplexity Sonar API. Since Perplexity performs live web searches, guardrails must address: query content moderation (what users can search for), citation reliability (filtering low-quality sources), cost control (model selection + token limits), and responsible AI usage.
Policy Pipeline
User Query
│
▼
Query Moderation (block harmful queries)
│
▼
PII Sanitization (strip personal data)
│
▼
Quota Check (daily limit by user tier)
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▼
Model Selection (enforce tier-appropriate model)
│
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Perplexity API Call
│
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Citation Quality Scoring (filter low-trust sources)
│
▼
Response to User
Prerequisites
- Perplexity API configured
- Content moderation policy defined
- User tier system in place
- Redis for quota tracking (optional: in-memory for simple apps)
Instructions
Step 1: Query Content Moderation
const BLOCKED_PATTERNS = [
/\b(write|generate|create)\s+(malware|virus|exploit|ransomware)\b/i,
/\b(personal|private)\s+(address|phone|ssn)\s+of\s+\w+/i,
/\b(bypass|circumvent|hack)\s+(security|firewall|authentication)\b/i,
/\b(how to|tutorial)\s+(stalk|dox|harass)\b/i,
];
const MAX_QUERY_LENGTH = 2000;
class PolicyError extends Error {
constructor(public code: string, message: string) {
super(message);
this.name = "PolicyError";
}
}
function moderateQuery(query: string): string {
if (query.length > MAX_QUERY_LENGTH) {
throw new PolicyError("QUERY_TOO_LONG", `Query exceeds ${MAX_QUERY_LENGTH} characters`);
}
for (const pattern of BLOCKED_PATTERNS) {
if (pattern.test(query)) {
throw new PolicyError("CONTENT_BLOCKED", "Query blocked by content policy");
}
}
return query;
}
Step 2: Model Selection Policy
interface ModelPolicy {
model: string;
maxTokens: number;
costPerRequest: number;
}
const MODEL_POLICIES: Record<string, ModelPolicy> = {
free: { model: "sonar", maxTokens: 256, costPerRequest: 0.005 },
basic: { model: "sonar", maxTokens: 1024, costPerRequest: 0.005 },
pro: { model: "sonar-pro", maxTokens: 2048, costPerRequest: 0.02 },
enterprise: { model: "sonar-pro", maxTokens: 4096, costPerRequest: 0.02 },
};
function enforceModelPolicy(
userTier: string,
requestedModel?: string
): ModelPolicy {
const policy = MODEL_POLICIES[userTier] || MODEL_POLICIES.free;
// Prevent free users from using expensive models
if (requestedModel === "sonar-pro" && !["pro", "enterprise"].includes(userTier)) {
console.warn(`User tier ${userTier} not allowed sonar-pro, using sonar`);
return MODEL_POLICIES.free;
}
return requestedModel ? { ...policy, model: requestedModel } : policy;
}
Step 3: Per-User Usage Quotas
class UsageQuota {
private usage: Map<string, { count: number; resetAt: number }> = new Map();
private readonly limits: Record<string, number> = {
free: 50,
basic: 200,
pro: 1000,
enterprise: 5000,
};
check(userId: string, tier: string = "free"): void {
const key = `${userId}:${new Date().toISOString().slice(0, 10)}`;
const entry = this.usage.get(key) || { count: 0, resetAt: this.endOfDay() };
// Reset if past end of day
if (Date.now() > entry.resetAt) {
entry.count = 0;
entry.resetAt = this.endOfDay();
}
const limit = this.limits[tier] || this.limits.free;
if (entry.count >= limit) {
throw new PolicyError(
"QUOTA_EXCEEDED",
`Daily quota exceeded (${entry.count}/${limit}). Resets at midnight UTC.`
);
}
entry.count++;
this.usage.set(key, entry);
}
getUsage(userId: string): { used: number; limit: number; remaining: number } {
const key = `${userId}:${new Date().toISOString().slice(0, 10)}`;
const entry = this.usage.get(key);
const used = entry?.count || 0;
return { used, limit: 50, remaining: Math.max(0, 50 - used) };
}
private endOfDay(): number {
const d = new Date();
d.setUTCHours(23, 59, 59, 999);
return d.getTime();
}
}
Step 4: Citation Quality Scoring
const TRUSTED_TLDS = new Set(["gov", "edu", "org"]);
const HIGH_QUALITY_DOMAINS = new Set([
"nature.com", "science.org", "arxiv.org", "wikipedia.org",
"nih.gov", "cdc.gov", "who.int",
]);
const LOW_QUALITY_DOMAINS = new Set([
"reddit.com", "quora.com", "medium.com", "yahoo.com",
]);
interface CitationQuality {
url: string;
trust: "high" | "medium" | "low";
domain: string;
}
function scoreCitations(citations: string[]): {
scored: CitationQuality[];
highTrustPercent: number;
} {
const scored = citations.map((url) => {
const domain = new URL(url).hostname;
const tld = domain.split(".").pop() || "";
let trust: "high" | "medium" | "low" = "medium";
if (TRUSTED_TLDS.has(tld) || HIGH_QUALITY_DOMAINS.has(domain)) {
trust = "high";
} else if (LOW_QUALITY_DOMAINS.has(domain)) {
trust = "low";
}
return { url, trust, domain };
});
const highTrust = scored.filter((s) => s.trust === "high").length;
return {
scored,
highTrustPercent: citations.length > 0 ? highTrust / citations.length : 0,
};
}
Step 5: Full Policy Pipeline
const quota = new UsageQuota();
async function policiedSearch(
query: string,
userId: string,
userTier: string = "free",
requestedModel?: string
) {
// 1. Content moderation
const moderated = moderateQuery(query);
// 2. PII sanitization
const { clean } = sanitizeQuery(moderated);
// 3. Quota check
quota.check(userId, userTier);
// 4. Model policy
const policy = enforceModelPolicy(userTier, requestedModel);
// 5. API call
const response = await perplexity.chat.completions.create({
model: policy.model,
messages: [{ role: "user", content: clean }],
max_tokens: policy.maxTokens,
});
// 6. Citation quality
const citations = (response as any).citations || [];
const quality = scoreCitations(citations);
return {
answer: response.choices[0].message.content,
citations: quality.scored,
citationQuality: quality.highTrustPercent,
model: response.model,
tokens: response.usage?.total_tokens,
};
}
Error Handling
| Issue | Cause | Solution |
|---|---|---|
| Query blocked | Content moderation triggered | Review patterns, adjust if false positive |
| Quota exceeded | User hit daily limit | Upgrade tier or wait for reset |
| Model downgraded | User tier restricts access | Inform user of tier limitations |
| Low citation quality | All sources from forums | Add search_domain_filter for trusted sources |
Output
- Query content moderation with blocked patterns
- Model selection enforced by user tier
- Per-user daily quotas
- Citation quality scoring and filtering
- Full policy pipeline combining all layers
Resources
Next Steps
For architecture patterns, see perplexity-architecture-variants.
What ships with it
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