Skip to main content Implement Perplexity rate limiting, backoff, and idempotency patterns.
Use when handling rate limit errors, implementing retry logic,
or optimizing API request throughput for Perplexity.
Trigger with phrases like "perplexity rate limit", "perplexity throttling",
"perplexity 429", "perplexity retry", "perplexity backoff".
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill perplexity-rate-limits ai automation claude-code devops mcp ai-agents
Perplexity Rate Limits
Overview
Handle Perplexity Sonar API rate limits. Perplexity uses a leaky bucket algorithm: burst capacity is available, with tokens refilling continuously at your assigned rate. Rate limits are based on requests per minute (RPM).
Rate Limit Tiers
Tier RPM Notes Free / Starter 50 Default for new API keys Search API ~3 req/sec Per-endpoint limit Higher tiers Contact sales Custom limits available
Rate limits apply per API key, not per model. Using sonar-pro counts against the same RPM as sonar.
Prerequisites
PERPLEXITY_API_KEY set
Understanding of HTTP 429 responses
Instructions
Step 1: Exponential Backoff with Jitter
async function withExponentialBackoff<T>(
operation: () => Promise<T>,
config = { maxRetries: 5, baseDelayMs: 1000, maxDelayMs: 30000, jitterMs: 500 }
): Promise<T> {
for (let attempt = 0; attempt <= config.maxRetries; attempt++) {
try {
return await operation();
} catch (error: any) {
if (attempt === config.maxRetries) throw error;
const status = error.status || error.response?.status;
// Only retry on 429 (rate limit) and 5xx (server errors)
if (status && status !== 429 && status < 500) throw error;
const exponentialDelay = config.baseDelayMs * Math.pow(2, attempt);
const jitter = Math.random() * config.jitterMs;
const delay = Math.min(exponentialDelay + jitter, config.maxDelayMs);
console.warn(`[Perplexity] ${status || "error"} — retry ${attempt + 1}/${config.maxRetries} in ${delay.toFixed(0)}ms`);
await new Promise((r) => setTimeout(r, delay));
}
}
throw new Error("Unreachable");
}
// Usage
const result = await withExponentialBackoff(() =>
perplexity.chat.completions.create({
model: "sonar",
messages: [{ role: "user", content: "test query" }],
})
);
Step 2: Queue-Based Rate Limiting import PQueue from "p-queue";
// 50 RPM = ~0.83 req/sec. Set intervalCap=1, interval=1200ms for safety.
const perplexityQueue = new PQueue({
concurrency: 3,
interval: 1200,
intervalCap: 1,
});
async function queuedSearch(query: string, model = "sonar") {
return perplexityQueue.add(() =>
withExponentialBackoff(() =>
perplexity.chat.completions.create({
model,
messages: [{ role: "user", content: query }],
})
)
);
}
// Batch queries are automatically rate-limited
const queries = ["query 1", "query 2", "query 3", "query 4", "query 5"];
const results = await Promise.all(queries.map((q) => queuedSearch(q)));
Step 3: Token Bucket Implementation (No Dependencies) class TokenBucket {
private tokens: number;
private lastRefill: number;
constructor(
private maxTokens: number = 50,
private refillRate: number = 50 / 60 // 50 per minute = 0.83/sec
) {
this.tokens = maxTokens;
this.lastRefill = Date.now();
}
async acquire(): Promise<void> {
this.refill();
if (this.tokens >= 1) {
this.tokens -= 1;
return;
}
// Wait until a token is available
const waitMs = (1 / this.refillRate) * 1000;
await new Promise((r) => setTimeout(r, waitMs));
this.refill();
this.tokens -= 1;
}
private refill() {
const now = Date.now();
const elapsed = (now - this.lastRefill) / 1000;
this.tokens = Math.min(this.maxTokens, this.tokens + elapsed * this.refillRate);
this.lastRefill = now;
}
get available(): number {
this.refill();
return Math.floor(this.tokens);
}
}
const bucket = new TokenBucket(50, 50 / 60);
async function rateLimitedSearch(query: string) {
await bucket.acquire();
return perplexity.chat.completions.create({
model: "sonar",
messages: [{ role: "user", content: query }],
});
}
Step 4: Python Rate Limiting import time, asyncio
from collections import deque
class RateLimiter:
def __init__(self, rpm: int = 50):
self.rpm = rpm
self.window = deque()
def wait_if_needed(self):
now = time.time()
# Remove timestamps older than 60 seconds
while self.window and self.window[0] < now - 60:
self.window.popleft()
if len(self.window) >= self.rpm:
sleep_time = 60 - (now - self.window[0])
time.sleep(max(0, sleep_time))
self.window.append(time.time())
limiter = RateLimiter(rpm=50)
def rate_limited_search(client, query: str, model: str = "sonar"):
limiter.wait_if_needed()
return client.chat.completions.create(
model=model,
messages=[{"role": "user", "content": query}],
)
Error Handling Signal Meaning Action HTTP 429 RPM exceeded Backoff and retry Retry-After headerSeconds until reset Honor this value exactly Repeated 429s Sustained overload Reduce concurrency or add queue 429 on burst Bucket empty Space requests 1.2s apart
Output
Automatic retry with exponential backoff and jitter
Queue-based rate limiting for batch operations
Token bucket for fine-grained control
Python rate limiter for synchronous code
Resources
Next Steps For security configuration, see perplexity-security-basics.
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Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
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Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).