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Overview

Sometimes you need to check if a rate limit would allow a request without actually consuming any tokens. The Convex Rate Limiter provides two methods for this:
  1. check() - Check if a request would be allowed
  2. getValue() - Get the current token count and metadata

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The check() Method

The check() method evaluates a rate limit without consuming any tokens: 
const status = await rateLimiter.check(ctx, "sendMessage", { 
  key: userId 
});

if (status.ok) {
  // The user has capacity available
  // But we haven't consumed any tokens yet
}
From src/client/index.ts:78-111: 
/**
 * Check a rate limit.
 * This function will check the rate limit and return whether the request is
 * allowed, and if not, when it could be retried.
 * Unlike {@link limit}, this function does not consume any tokens.
 *
 * @param ctx The ctx object from a query or mutation, including runQuery.
 * @param name The name of the rate limit.
 * @param options The rate limit arguments.
 * @returns `{ ok, retryAfter }`: `ok` is true if the rate limit is not exceeded.
 * `retryAfter` is the duration in milliseconds when retrying could succeed.
 */
async check<Name extends string = keyof Limits & string>(
  ctx: RunQueryCtx,
  name: Name,
  ...options
): Promise<RateLimitReturns> {
  return ctx.runQuery(this.component.lib.checkRateLimit, {
    ...options[0],
    name,
    config: this.getConfig(options[0], name),
  });
}

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Difference Between check() and limit()

const status = await rateLimiter.limit(ctx, "sendMessage", { key: userId });
// ✅ Returns { ok, retryAfter }
// ⚠️  CONSUMES a token if ok is true
// ⚠️  Must be called in a MUTATION
Key differences:
Featurelimit()check()
Consumes tokens✅ Yes❌ No
Can be used in queries❌ No✅ Yes
Can be used in mutations✅ Yes✅ Yes
Returns same format✅ {ok, retryAfter}✅ {ok, retryAfter}

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Use Cases for Checking Without Consuming

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1. Showing Rate Limit Status to Users

Display remaining capacity before the user takes action: 
export const getMessageStatus = query({
  args: {},
  handler: async (ctx) => {
    const user = await ctx.auth.getUserIdentity();
    if (!user) return { canSend: false };
    
    const status = await rateLimiter.check(ctx, "sendMessage", {
      key: user.subject,
    });
    
    return {
      canSend: status.ok,
      retryAfter: status.retryAfter,
    };
  },
});
Then in your UI: 
function ChatBox() {
  const status = useQuery(api.messages.getMessageStatus);
  
  return (
    <div>
      <input disabled={!status?.canSend} />
      {!status?.canSend && (
        <p>Rate limited. Try again in {Math.ceil(status.retryAfter! / 1000)}s</p>
      )}
    </div>
  );
}

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2. Validating Before Expensive Operations

Check capacity before starting expensive work: 
export const generateReport = mutation({
  args: { teamId: v.string() },
  handler: async (ctx, args) => {
    // Check first (doesn't consume)
    const status = await rateLimiter.check(ctx, "reportGeneration", {
      key: args.teamId,
    });
    
    if (!status.ok) {
      return { 
        error: "Report quota exceeded", 
        retryAfter: status.retryAfter 
      };
    }
    
    // Now consume and proceed
    await rateLimiter.limit(ctx, "reportGeneration", {
      key: args.teamId,
      throws: true,
    });
    
    // Generate the expensive report
    const report = await generateExpensiveReport();
    return { report };
  },
});

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3. Conditional Logic Based on Capacity

export const processRequest = mutation({
  args: {},
  handler: async (ctx) => {
    const fastPathStatus = await rateLimiter.check(ctx, "fastPath");
    
    if (fastPathStatus.ok) {
      // Take the fast path
      await rateLimiter.limit(ctx, "fastPath", { throws: true });
      return await fastProcess();
    } else {
      // Fall back to slow path
      await rateLimiter.limit(ctx, "slowPath", { throws: true });
      return await slowProcess();
    }
  },
});

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4. Real Example from Source Code

From example/convex/example.ts:80-85: 
export const check = internalQuery({
  args: { key: v.optional(v.string()) },
  handler: async (ctx, args) => {
    return rateLimiter.check(ctx, "sendMessage", { key: args.key });
  },
});

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The getValue() Method

For more detailed information about the current state, use getValue(): 
const { config, value, ts } = await rateLimiter.getValue(ctx, "sendMessage", {
  key: userId,
});
From src/client/index.ts:168-209: 
/**
 * Get the current value and metadata of a rate limit.
 * This function returns the current token utilization data without consuming any tokens.
 *
 * @param ctx The ctx object from a query, including runQuery.
 * @param name The name of the rate limit.
 * @param options The rate limit arguments.
 * @returns An object containing the current value, timestamp, window start time (for fixed window),
 * and the rate limit configuration.
 */
async getValue<Name extends string = keyof Limits & string>(
  ctx: RunQueryCtx,
  name: Name,
  ...options
): Promise<GetValueReturns> {
  return ctx.runQuery(this.component.lib.getValue, {
    ...options[0],
    name,
    config: this.getConfig(options[0], name),
  });
}

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Return Value Structure

type GetValueReturns = {
  config: RateLimitConfig;  // The rate limit configuration
  value: number;            // Current token count
  ts: number;               // Timestamp when last updated
  // For fixed window:
  windowStart?: number;     // When the current window started
};

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Example: Displaying Quota Information

export const getQuotaInfo = query({
  args: {},
  handler: async (ctx) => {
    const userId = await getUserId(ctx);
    const { config, value, ts } = await rateLimiter.getValue(ctx, "apiCalls", {
      key: userId,
    });
    
    return {
      used: config.rate - value,
      limit: config.rate,
      remaining: value,
      resetsIn: config.period - (Date.now() - ts),
    };
  },
});
Then display in your UI: 
function QuotaDisplay() {
  const quota = useQuery(api.quota.getQuotaInfo);
  
  if (!quota) return null;
  
  return (
    <div>
      <p>API Calls: {quota.used} / {quota.limit}</p>
      <p>Remaining: {quota.remaining}</p>
      <p>Resets in: {Math.ceil(quota.resetsIn / 1000)}s</p>
      <ProgressBar value={quota.used} max={quota.limit} />
    </div>
  );
}

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Using calculateRateLimit

You can calculate the value at a specific timestamp using the calculateRateLimit helper: 
import { calculateRateLimit } from "@convex-dev/rate-limiter";

const { config, value, ts } = await rateLimiter.getValue(ctx, "sendMessage", {
  key: userId,
});

// Calculate the value 30 seconds from now
const futureValue = calculateRateLimit(
  { value, ts },
  config,
  Date.now() + 30000,  // 30 seconds in the future
  0,  // count to consume
);
From the README:
“You can use calculateRateLimit to calculate the value at a given timestamp”

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Check with Custom Count

You can check if there’s enough capacity for a specific count: 
// Check if we have capacity for 100 tokens
const status = await rateLimiter.check(ctx, "llmTokens", {
  key: userId,
  count: 100,
});

if (status.ok) {
  // We have enough capacity for 100 tokens
  // But we haven't consumed them yet
}

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Best Practices

For operations that are expensive to start but cheap to validate:
// Check first (fast, doesn't consume)
const canProceed = await rateLimiter.check(ctx, "export", { key: teamId });
if (!canProceed.ok) {
  return { error: "Rate limited" };
}

// Then consume (commits the operation)
await rateLimiter.limit(ctx, "export", { key: teamId, throws: true });

// Proceed with expensive work
Queries can’t consume tokens (they can’t modify state), so use check():
export const canSendMessage = query({
  handler: async (ctx) => {
    const userId = await getUserId(ctx);
    return rateLimiter.check(ctx, "sendMessage", { key: userId });
  },
});
If you check in a query and then limit in a mutation, the state might change between calls. For critical operations, just use limit() directly:
// ❌ Risky: state might change between calls
const canSend = await query(api.messages.canSend);  // check()
if (canSend.ok) {
  await mutation(api.messages.send);  // limit()
}

// ✅ Better: atomic check-and-consume
const result = await mutation(api.messages.send);  // limit() inside
Track rate limit utilization over time:
const { value, config } = await rateLimiter.getValue(ctx, "apiCalls");
const utilizationPercent = ((config.rate - value) / config.rate) * 100;

if (utilizationPercent > 80) {
  console.warn(`High rate limit utilization: ${utilizationPercent}%`);
}

​
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