Yilialinn commented on code in PR #2028:
URL: https://github.com/apache/apisix-website/pull/2028#discussion_r3085433623


##########
blog/en/blog/2026/04/14/apisix-3.16-dynamic-rate-limiting.md:
##########
@@ -0,0 +1,329 @@
+---
+title: "What's New in Apache APISIX 3.16: Dynamic Rate Limiting for Your API 
Gateway"
+authors:
+  - name: "Ming Wen"
+    title: "Author"
+    url: "https://github.com/moonming";
+    image_url: "https://github.com/moonming.png";
+keywords:
+  - Apache APISIX
+  - API Gateway
+  - Rate Limiting
+  - Dynamic Rate Limiting
+  - AI Gateway
+  - Multi-Tenant
+  - Token Budget
+description: Apache APISIX 3.16 introduces dynamic rate limiting with multiple 
rules and variable support across limit-count, limit-conn, and ai-rate-limiting 
plugins, enabling context-aware, per-tier, and multi-tenant rate limiting in a 
single route configuration.
+tags: [Products]
+---
+
+Rate limiting is one of the most critical capabilities in any API gateway. Yet 
for years, most gateways — including APISIX — have treated it as a static, 
one-size-fits-all configuration: set a number, set a time window, done.
+
+In practice, real-world rate limiting is far more nuanced. A SaaS platform 
needs different quotas for free and paid users. An AI gateway must enforce 
token budgets that vary by model and consumer. A multi-tenant API must isolate 
rate limits per tenant without duplicating routes.
+
+Apache APISIX 3.16 addresses these challenges head-on with two powerful 
enhancements to the rate limiting plugins: **multiple rules** and **variable 
support**. Together, they transform rate limiting from static configuration 
into a dynamic, context-aware policy engine.
+
+<!--truncate-->
+
+## What Changed in APISIX 3.16
+
+APISIX 3.16 introduces two complementary features across the `limit-count`, 
`limit-conn`, and `ai-rate-limiting` plugins:
+
+| Feature | Description | Supported Plugins |
+|---------|-------------|-------------------|
+| Multiple rules | Define an array of rate limiting rules with independent 
thresholds and time windows | `limit-count`, `limit-conn`, `ai-rate-limiting` |
+| Variable support | Use APISIX variables (`${remote_addr}`, `${http_*}`, 
`${consumer_name}`, etc.) in `count`, `time_window`, and `key` fields, with 
optional default values via `${var ?? default}` | `limit-count`, `limit-conn`, 
`ai-rate-limiting` |
+
+Both features are fully backward compatible. Existing configurations continue 
to work without modification.
+
+## Multiple Rules: Beyond Single-Threshold Rate Limiting
+
+### The Problem
+
+Consider a common requirement: limit an API to **10 requests per second** and 
**500 requests per minute**. Before 3.16, you had to configure two separate 
plugin instances or chain multiple routes. This was verbose, error-prone, and 
hard to maintain.
+
+### The Solution
+
+The new `rules` array lets you define multiple rate limiting policies in a 
single plugin configuration. Each rule operates independently with its own 
counter, time window, and key.
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": 10,
+          "time_window": 1,
+          "key": "${remote_addr}_per_second",
+          "header_prefix": "per-second"
+        },
+        {
+          "count": 500,
+          "time_window": 60,
+          "key": "${remote_addr}_per_minute",
+          "header_prefix": "per-minute"
+        },
+        {
+          "count": 10000,
+          "time_window": 86400,
+          "key": "${remote_addr}_per_day",
+          "header_prefix": "per-day"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+With this configuration, APISIX enforces all three limits simultaneously. A 
client hitting the per-second limit receives a `429` response with headers 
indicating which limit was exceeded:
+
+```
+X-Per-Second-RateLimit-Limit: 10
+X-Per-Second-RateLimit-Remaining: 0
+X-Per-Second-RateLimit-Reset: 1
+X-Per-Minute-RateLimit-Limit: 500
+X-Per-Minute-RateLimit-Remaining: 499
+X-Per-Minute-RateLimit-Reset: 60
+```
+
+The `header_prefix` field lets clients distinguish which rule triggered the 
rejection — critical for debugging and client-side retry logic.
+
+## Variable Support: Context-Aware Rate Limiting
+
+### The Problem
+
+Static rate limits assume every consumer is equal. In reality, a free-tier 
user and an enterprise customer should have very different quotas. Before 3.16, 
supporting this meant creating separate routes for each tier — leading to route 
explosion and configuration drift.
+
+### The Solution
+
+Variable support lets you pull rate limiting parameters directly from the 
request context. The `count`, `time_window`, and `key` fields now accept APISIX 
variables.
+
+### Example 1: Per-Tier Rate Limiting via HTTP Header
+
+Suppose your authentication middleware injects an `X-Rate-Quota` header based 
on the user's subscription tier:
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": "${http_x_rate_quota ?? 100}",
+          "time_window": 60,
+          "key": "${consumer_name}"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {

Review Comment:
   **Bug: this example returns `500 Internal Server Error` at request time when 
no consumer is authenticated.**
   
   Tested on APISIX 3.16.0. Error log:
   ```
   [lua] init.lua:456: phase_func(): failed to get rate limit rules: nil
   limit-count exits with http status code 500
   ```
   
   Root cause: in `limit-count/init.lua` `get_rules()`, after resolving the key 
string, there is a check:
   ```lua
   local key, _, n_resolved = core.utils.resolve_var(rule.key, ctx.var)
   if n_resolved == 0 then
       goto CONTINUE  -- rule is silently skipped
   end
   ```
   `n_resolved` counts how many `${}` variables were successfully resolved to a 
non-nil value. When `consumer_name` is nil (no authenticated consumer), 
`n_resolved` stays `0` and the rule is skipped. When all rules are skipped, the 
rules list is empty and APISIX returns 500.
   
   **This is a code-level bug in APISIX** — `n_resolved == 0` was likely 
intended to skip rules where the key variable is missing, but it also 
incorrectly skips rules whose key variables resolve to nil. A separate issue 
should be filed against `apache/apisix`.
   
   **To make this example work as written**, the route must include an 
authentication plugin so that `consumer_name` is populated:
   ```json
   "plugins": {
     "key-auth": {},
     "limit-count": { ... }
   }
   ```
   And a consumer with that auth plugin must exist. The blog should either add 
this prerequisite or use a key that is always available (e.g., 
`"${remote_addr}"`) for the basic illustration.



##########
blog/en/blog/2026/04/14/apisix-3.16-dynamic-rate-limiting.md:
##########
@@ -0,0 +1,329 @@
+---
+title: "What's New in Apache APISIX 3.16: Dynamic Rate Limiting for Your API 
Gateway"
+authors:
+  - name: "Ming Wen"
+    title: "Author"
+    url: "https://github.com/moonming";
+    image_url: "https://github.com/moonming.png";
+keywords:
+  - Apache APISIX
+  - API Gateway
+  - Rate Limiting
+  - Dynamic Rate Limiting
+  - AI Gateway
+  - Multi-Tenant
+  - Token Budget
+description: Apache APISIX 3.16 introduces dynamic rate limiting with multiple 
rules and variable support across limit-count, limit-conn, and ai-rate-limiting 
plugins, enabling context-aware, per-tier, and multi-tenant rate limiting in a 
single route configuration.
+tags: [Products]
+---
+
+Rate limiting is one of the most critical capabilities in any API gateway. Yet 
for years, most gateways — including APISIX — have treated it as a static, 
one-size-fits-all configuration: set a number, set a time window, done.
+
+In practice, real-world rate limiting is far more nuanced. A SaaS platform 
needs different quotas for free and paid users. An AI gateway must enforce 
token budgets that vary by model and consumer. A multi-tenant API must isolate 
rate limits per tenant without duplicating routes.
+
+Apache APISIX 3.16 addresses these challenges head-on with two powerful 
enhancements to the rate limiting plugins: **multiple rules** and **variable 
support**. Together, they transform rate limiting from static configuration 
into a dynamic, context-aware policy engine.
+
+<!--truncate-->
+
+## What Changed in APISIX 3.16
+
+APISIX 3.16 introduces two complementary features across the `limit-count`, 
`limit-conn`, and `ai-rate-limiting` plugins:
+
+| Feature | Description | Supported Plugins |
+|---------|-------------|-------------------|
+| Multiple rules | Define an array of rate limiting rules with independent 
thresholds and time windows | `limit-count`, `limit-conn`, `ai-rate-limiting` |
+| Variable support | Use APISIX variables (`${remote_addr}`, `${http_*}`, 
`${consumer_name}`, etc.) in `count`, `time_window`, and `key` fields, with 
optional default values via `${var ?? default}` | `limit-count`, `limit-conn`, 
`ai-rate-limiting` |
+
+Both features are fully backward compatible. Existing configurations continue 
to work without modification.
+
+## Multiple Rules: Beyond Single-Threshold Rate Limiting
+
+### The Problem
+
+Consider a common requirement: limit an API to **10 requests per second** and 
**500 requests per minute**. Before 3.16, you had to configure two separate 
plugin instances or chain multiple routes. This was verbose, error-prone, and 
hard to maintain.
+
+### The Solution
+
+The new `rules` array lets you define multiple rate limiting policies in a 
single plugin configuration. Each rule operates independently with its own 
counter, time window, and key.
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": 10,
+          "time_window": 1,
+          "key": "${remote_addr}_per_second",
+          "header_prefix": "per-second"
+        },
+        {
+          "count": 500,
+          "time_window": 60,
+          "key": "${remote_addr}_per_minute",
+          "header_prefix": "per-minute"
+        },
+        {
+          "count": 10000,
+          "time_window": 86400,
+          "key": "${remote_addr}_per_day",
+          "header_prefix": "per-day"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+With this configuration, APISIX enforces all three limits simultaneously. A 
client hitting the per-second limit receives a `429` response with headers 
indicating which limit was exceeded:
+
+```
+X-Per-Second-RateLimit-Limit: 10
+X-Per-Second-RateLimit-Remaining: 0
+X-Per-Second-RateLimit-Reset: 1
+X-Per-Minute-RateLimit-Limit: 500
+X-Per-Minute-RateLimit-Remaining: 499
+X-Per-Minute-RateLimit-Reset: 60
+```
+
+The `header_prefix` field lets clients distinguish which rule triggered the 
rejection — critical for debugging and client-side retry logic.
+
+## Variable Support: Context-Aware Rate Limiting
+
+### The Problem
+
+Static rate limits assume every consumer is equal. In reality, a free-tier 
user and an enterprise customer should have very different quotas. Before 3.16, 
supporting this meant creating separate routes for each tier — leading to route 
explosion and configuration drift.
+
+### The Solution
+
+Variable support lets you pull rate limiting parameters directly from the 
request context. The `count`, `time_window`, and `key` fields now accept APISIX 
variables.
+
+### Example 1: Per-Tier Rate Limiting via HTTP Header
+
+Suppose your authentication middleware injects an `X-Rate-Quota` header based 
on the user's subscription tier:
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": "${http_x_rate_quota ?? 100}",
+          "time_window": 60,
+          "key": "${consumer_name}"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+Now the same route handles all tiers:
+
+| Tier | `X-Rate-Quota` Header | Effective Limit |
+|------|----------------------|-----------------|
+| Free | 100 | 100 req/min |
+| Pro | 1000 | 1,000 req/min |
+| Enterprise | 50000 | 50,000 req/min |
+
+One route. One plugin configuration. All tiers.
+
+### Example 2: Multi-Tenant Isolation with Variable Combination
+
+For a multi-tenant SaaS API, you can combine variables to create isolated rate 
limit buckets per tenant per endpoint:
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": 1000,
+          "time_window": 60,
+          "key": "${http_x_tenant_id} ${uri}"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+Tenant A calling `/api/v1/users` and Tenant B calling the same endpoint get 
independent counters. Tenant A calling `/api/v1/orders` gets yet another 
counter. This creates a natural per-tenant-per-endpoint isolation without any 
route duplication.
+
+### Example 3: Dynamic Concurrent Connection Limits
+
+The `limit-conn` plugin also supports rules and variables, enabling dynamic 
concurrency control:
+
+```json
+{
+  "uri": "/api/v1/inference",
+  "plugins": {
+    "limit-conn": {
+      "default_conn_delay": 0.1,
+      "rules": [
+        {
+          "conn": 5,
+          "burst": 2,
+          "key": "${consumer_name}"
+        },
+        {
+          "conn": 100,
+          "burst": 20,
+          "key": "global"
+        }

Review Comment:
   **Bug: same `n_resolved == 0` issue — `${consumer_name}` key causes this 
rule to be skipped when no consumer is authenticated, resulting in `500`.**
   
   Tested on APISIX 3.16.0. Error log:
   ```
   [lua] init.lua:208: phase_func(): failed to get limit conn rules: nil
   limit-conn exits with http status code 500
   ```
   
   Same root cause as the `limit-count` case: `limit-conn/init.lua` has the 
identical `n_resolved == 0` guard. The `${consumer_name}` rule is skipped when 
there is no consumer context.
   
   **Fix needed**: add an auth plugin (e.g., `key-auth`) to the route so 
`consumer_name` is populated at request time.



##########
blog/en/blog/2026/04/14/apisix-3.16-dynamic-rate-limiting.md:
##########
@@ -0,0 +1,329 @@
+---
+title: "What's New in Apache APISIX 3.16: Dynamic Rate Limiting for Your API 
Gateway"
+authors:
+  - name: "Ming Wen"
+    title: "Author"
+    url: "https://github.com/moonming";
+    image_url: "https://github.com/moonming.png";
+keywords:
+  - Apache APISIX
+  - API Gateway
+  - Rate Limiting
+  - Dynamic Rate Limiting
+  - AI Gateway
+  - Multi-Tenant
+  - Token Budget
+description: Apache APISIX 3.16 introduces dynamic rate limiting with multiple 
rules and variable support across limit-count, limit-conn, and ai-rate-limiting 
plugins, enabling context-aware, per-tier, and multi-tenant rate limiting in a 
single route configuration.
+tags: [Products]
+---
+
+Rate limiting is one of the most critical capabilities in any API gateway. Yet 
for years, most gateways — including APISIX — have treated it as a static, 
one-size-fits-all configuration: set a number, set a time window, done.
+
+In practice, real-world rate limiting is far more nuanced. A SaaS platform 
needs different quotas for free and paid users. An AI gateway must enforce 
token budgets that vary by model and consumer. A multi-tenant API must isolate 
rate limits per tenant without duplicating routes.
+
+Apache APISIX 3.16 addresses these challenges head-on with two powerful 
enhancements to the rate limiting plugins: **multiple rules** and **variable 
support**. Together, they transform rate limiting from static configuration 
into a dynamic, context-aware policy engine.
+
+<!--truncate-->
+
+## What Changed in APISIX 3.16
+
+APISIX 3.16 introduces two complementary features across the `limit-count`, 
`limit-conn`, and `ai-rate-limiting` plugins:
+
+| Feature | Description | Supported Plugins |
+|---------|-------------|-------------------|
+| Multiple rules | Define an array of rate limiting rules with independent 
thresholds and time windows | `limit-count`, `limit-conn`, `ai-rate-limiting` |
+| Variable support | Use APISIX variables (`${remote_addr}`, `${http_*}`, 
`${consumer_name}`, etc.) in `count`, `time_window`, and `key` fields, with 
optional default values via `${var ?? default}` | `limit-count`, `limit-conn`, 
`ai-rate-limiting` |
+
+Both features are fully backward compatible. Existing configurations continue 
to work without modification.
+
+## Multiple Rules: Beyond Single-Threshold Rate Limiting
+
+### The Problem
+
+Consider a common requirement: limit an API to **10 requests per second** and 
**500 requests per minute**. Before 3.16, you had to configure two separate 
plugin instances or chain multiple routes. This was verbose, error-prone, and 
hard to maintain.
+
+### The Solution
+
+The new `rules` array lets you define multiple rate limiting policies in a 
single plugin configuration. Each rule operates independently with its own 
counter, time window, and key.
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": 10,
+          "time_window": 1,
+          "key": "${remote_addr}_per_second",
+          "header_prefix": "per-second"
+        },
+        {
+          "count": 500,
+          "time_window": 60,
+          "key": "${remote_addr}_per_minute",
+          "header_prefix": "per-minute"
+        },
+        {
+          "count": 10000,
+          "time_window": 86400,
+          "key": "${remote_addr}_per_day",
+          "header_prefix": "per-day"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+With this configuration, APISIX enforces all three limits simultaneously. A 
client hitting the per-second limit receives a `429` response with headers 
indicating which limit was exceeded:
+
+```
+X-Per-Second-RateLimit-Limit: 10
+X-Per-Second-RateLimit-Remaining: 0
+X-Per-Second-RateLimit-Reset: 1
+X-Per-Minute-RateLimit-Limit: 500
+X-Per-Minute-RateLimit-Remaining: 499
+X-Per-Minute-RateLimit-Reset: 60
+```
+
+The `header_prefix` field lets clients distinguish which rule triggered the 
rejection — critical for debugging and client-side retry logic.
+
+## Variable Support: Context-Aware Rate Limiting
+
+### The Problem
+
+Static rate limits assume every consumer is equal. In reality, a free-tier 
user and an enterprise customer should have very different quotas. Before 3.16, 
supporting this meant creating separate routes for each tier — leading to route 
explosion and configuration drift.
+
+### The Solution
+
+Variable support lets you pull rate limiting parameters directly from the 
request context. The `count`, `time_window`, and `key` fields now accept APISIX 
variables.
+
+### Example 1: Per-Tier Rate Limiting via HTTP Header
+
+Suppose your authentication middleware injects an `X-Rate-Quota` header based 
on the user's subscription tier:
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": "${http_x_rate_quota ?? 100}",
+          "time_window": 60,
+          "key": "${consumer_name}"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+Now the same route handles all tiers:
+
+| Tier | `X-Rate-Quota` Header | Effective Limit |
+|------|----------------------|-----------------|
+| Free | 100 | 100 req/min |
+| Pro | 1000 | 1,000 req/min |
+| Enterprise | 50000 | 50,000 req/min |
+
+One route. One plugin configuration. All tiers.
+
+### Example 2: Multi-Tenant Isolation with Variable Combination
+
+For a multi-tenant SaaS API, you can combine variables to create isolated rate 
limit buckets per tenant per endpoint:
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": 1000,
+          "time_window": 60,
+          "key": "${http_x_tenant_id} ${uri}"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+Tenant A calling `/api/v1/users` and Tenant B calling the same endpoint get 
independent counters. Tenant A calling `/api/v1/orders` gets yet another 
counter. This creates a natural per-tenant-per-endpoint isolation without any 
route duplication.
+
+### Example 3: Dynamic Concurrent Connection Limits
+
+The `limit-conn` plugin also supports rules and variables, enabling dynamic 
concurrency control:
+
+```json
+{
+  "uri": "/api/v1/inference",
+  "plugins": {
+    "limit-conn": {
+      "default_conn_delay": 0.1,
+      "rules": [
+        {
+          "conn": 5,
+          "burst": 2,
+          "key": "${consumer_name}"
+        },
+        {
+          "conn": 100,
+          "burst": 20,
+          "key": "global"
+        }
+      ],
+      "rejected_code": 503
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+This limits each consumer to 5 concurrent connections while capping the total 
at 100 — preventing any single consumer from monopolizing backend capacity.
+
+## AI Rate Limiting: Token Budget Management
+
+For AI gateway use cases, the `ai-rate-limiting` plugin combines multiple 
rules with variable support for fine-grained token budget control:
+
+```json
+{
+  "uri": "/v1/chat/completions",
+  "plugins": {
+    "ai-rate-limiting": {
+      "limit_strategy": "total_tokens",
+      "rules": [
+        {
+          "count": 10000,
+          "time_window": 60,
+          "key": "${consumer_name}_per_minute",

Review Comment:
   **Bug: `ai-rate-limiting` is silently non-functional when used without 
`ai-proxy`.**
   
   Tested on APISIX 3.16.0. The route accepts requests and returns `502` 
(upstream unreachable), but the rate limiting plugin does absolutely nothing — 
no rate limit headers, no token counting, no rejection.
   
   Root cause: `ai-rate-limiting`'s `access()` begins with:
   ```lua
   local ai_instance_name = ctx.picked_ai_instance_name
   if not ai_instance_name then
       return  -- silently exits, no limiting applied
   end
   ```
   `ctx.picked_ai_instance_name` is only set by the `ai-proxy` (or 
`ai-proxy-multi`) plugin. Without it, the entire plugin is a no-op.
   
   **The example as written is incomplete.** It must include an `ai-proxy` 
plugin configuration on the same route for `ai-rate-limiting` to have any 
effect. Suggest adding a note:
   
   > **Prerequisite**: `ai-rate-limiting` must be used alongside the `ai-proxy` 
plugin. It relies on `ai-proxy` to populate the AI instance context 
(`ctx.picked_ai_instance_name`) and token usage (`ctx.ai_token_usage`). Without 
`ai-proxy`, the plugin is silently inactive.



##########
blog/en/blog/2026/04/14/apisix-3.16-dynamic-rate-limiting.md:
##########
@@ -0,0 +1,329 @@
+---
+title: "What's New in Apache APISIX 3.16: Dynamic Rate Limiting for Your API 
Gateway"
+authors:
+  - name: "Ming Wen"
+    title: "Author"
+    url: "https://github.com/moonming";
+    image_url: "https://github.com/moonming.png";
+keywords:
+  - Apache APISIX
+  - API Gateway
+  - Rate Limiting
+  - Dynamic Rate Limiting
+  - AI Gateway
+  - Multi-Tenant
+  - Token Budget
+description: Apache APISIX 3.16 introduces dynamic rate limiting with multiple 
rules and variable support across limit-count, limit-conn, and ai-rate-limiting 
plugins, enabling context-aware, per-tier, and multi-tenant rate limiting in a 
single route configuration.
+tags: [Products]
+---
+
+Rate limiting is one of the most critical capabilities in any API gateway. Yet 
for years, most gateways — including APISIX — have treated it as a static, 
one-size-fits-all configuration: set a number, set a time window, done.
+
+In practice, real-world rate limiting is far more nuanced. A SaaS platform 
needs different quotas for free and paid users. An AI gateway must enforce 
token budgets that vary by model and consumer. A multi-tenant API must isolate 
rate limits per tenant without duplicating routes.
+
+Apache APISIX 3.16 addresses these challenges head-on with two powerful 
enhancements to the rate limiting plugins: **multiple rules** and **variable 
support**. Together, they transform rate limiting from static configuration 
into a dynamic, context-aware policy engine.
+
+<!--truncate-->
+
+## What Changed in APISIX 3.16
+
+APISIX 3.16 introduces two complementary features across the `limit-count`, 
`limit-conn`, and `ai-rate-limiting` plugins:
+
+| Feature | Description | Supported Plugins |
+|---------|-------------|-------------------|
+| Multiple rules | Define an array of rate limiting rules with independent 
thresholds and time windows | `limit-count`, `limit-conn`, `ai-rate-limiting` |
+| Variable support | Use APISIX variables (`${remote_addr}`, `${http_*}`, 
`${consumer_name}`, etc.) in `count`, `time_window`, and `key` fields, with 
optional default values via `${var ?? default}` | `limit-count`, `limit-conn`, 
`ai-rate-limiting` |
+
+Both features are fully backward compatible. Existing configurations continue 
to work without modification.
+
+## Multiple Rules: Beyond Single-Threshold Rate Limiting
+
+### The Problem
+
+Consider a common requirement: limit an API to **10 requests per second** and 
**500 requests per minute**. Before 3.16, you had to configure two separate 
plugin instances or chain multiple routes. This was verbose, error-prone, and 
hard to maintain.
+
+### The Solution
+
+The new `rules` array lets you define multiple rate limiting policies in a 
single plugin configuration. Each rule operates independently with its own 
counter, time window, and key.
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": 10,
+          "time_window": 1,
+          "key": "${remote_addr}_per_second",
+          "header_prefix": "per-second"
+        },
+        {
+          "count": 500,
+          "time_window": 60,
+          "key": "${remote_addr}_per_minute",
+          "header_prefix": "per-minute"
+        },
+        {
+          "count": 10000,
+          "time_window": 86400,
+          "key": "${remote_addr}_per_day",
+          "header_prefix": "per-day"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+With this configuration, APISIX enforces all three limits simultaneously. A 
client hitting the per-second limit receives a `429` response with headers 
indicating which limit was exceeded:
+
+```
+X-Per-Second-RateLimit-Limit: 10
+X-Per-Second-RateLimit-Remaining: 0
+X-Per-Second-RateLimit-Reset: 1
+X-Per-Minute-RateLimit-Limit: 500
+X-Per-Minute-RateLimit-Remaining: 499
+X-Per-Minute-RateLimit-Reset: 60
+```
+
+The `header_prefix` field lets clients distinguish which rule triggered the 
rejection — critical for debugging and client-side retry logic.
+
+## Variable Support: Context-Aware Rate Limiting
+
+### The Problem
+
+Static rate limits assume every consumer is equal. In reality, a free-tier 
user and an enterprise customer should have very different quotas. Before 3.16, 
supporting this meant creating separate routes for each tier — leading to route 
explosion and configuration drift.
+
+### The Solution
+
+Variable support lets you pull rate limiting parameters directly from the 
request context. The `count`, `time_window`, and `key` fields now accept APISIX 
variables.
+
+### Example 1: Per-Tier Rate Limiting via HTTP Header
+
+Suppose your authentication middleware injects an `X-Rate-Quota` header based 
on the user's subscription tier:
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": "${http_x_rate_quota ?? 100}",
+          "time_window": 60,
+          "key": "${consumer_name}"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+Now the same route handles all tiers:
+
+| Tier | `X-Rate-Quota` Header | Effective Limit |
+|------|----------------------|-----------------|
+| Free | 100 | 100 req/min |
+| Pro | 1000 | 1,000 req/min |
+| Enterprise | 50000 | 50,000 req/min |
+
+One route. One plugin configuration. All tiers.
+
+### Example 2: Multi-Tenant Isolation with Variable Combination
+
+For a multi-tenant SaaS API, you can combine variables to create isolated rate 
limit buckets per tenant per endpoint:
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": 1000,
+          "time_window": 60,
+          "key": "${http_x_tenant_id} ${uri}"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+Tenant A calling `/api/v1/users` and Tenant B calling the same endpoint get 
independent counters. Tenant A calling `/api/v1/orders` gets yet another 
counter. This creates a natural per-tenant-per-endpoint isolation without any 
route duplication.
+
+### Example 3: Dynamic Concurrent Connection Limits
+
+The `limit-conn` plugin also supports rules and variables, enabling dynamic 
concurrency control:
+
+```json
+{
+  "uri": "/api/v1/inference",
+  "plugins": {
+    "limit-conn": {
+      "default_conn_delay": 0.1,
+      "rules": [
+        {
+          "conn": 5,
+          "burst": 2,
+          "key": "${consumer_name}"
+        },
+        {
+          "conn": 100,
+          "burst": 20,
+          "key": "global"
+        }
+      ],
+      "rejected_code": 503
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+This limits each consumer to 5 concurrent connections while capping the total 
at 100 — preventing any single consumer from monopolizing backend capacity.
+
+## AI Rate Limiting: Token Budget Management
+
+For AI gateway use cases, the `ai-rate-limiting` plugin combines multiple 
rules with variable support for fine-grained token budget control:
+
+```json
+{
+  "uri": "/v1/chat/completions",
+  "plugins": {
+    "ai-rate-limiting": {
+      "limit_strategy": "total_tokens",
+      "rules": [
+        {
+          "count": 10000,
+          "time_window": 60,
+          "key": "${consumer_name}_per_minute",
+          "header_prefix": "consumer"
+        },
+        {
+          "count": 500000,
+          "time_window": 86400,
+          "key": "${consumer_name}_per_day",
+          "header_prefix": "daily"
+        },
+        {
+          "count": 1000000,
+          "time_window": 60,
+          "key": "global",
+          "header_prefix": "global"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+This configuration enforces three simultaneous constraints:
+
+1. **Per-consumer burst**: 10,000 tokens per minute per consumer
+2. **Per-consumer daily**: 500,000 tokens per day per consumer
+3. **Global capacity**: 1,000,000 tokens per minute across all consumers
+
+As AI API costs scale directly with token usage, this kind of layered budget 
control is essential for production AI gateways.
+
+## Combining Multiple Rules with Variables
+
+The real power emerges when you combine both features. Here is a complete 
example for an API platform with tiered pricing:
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": "${http_x_burst_quota ?? 10}",
+          "time_window": 1,
+          "key": "${consumer_name}_per_second",
+          "header_prefix": "burst"
+        },
+        {
+          "count": "${http_x_sustained_quota ?? 500}",
+          "time_window": 60,
+          "key": "${consumer_name}_per_minute",

Review Comment:
   **Bug: `${consumer_name}_per_second` key fails when no consumer is 
authenticated — same `n_resolved == 0` issue.**
   
   Without an auth plugin on the route, `consumer_name` is nil. The rule is 
skipped, and since rule 3 (`"global"`) is also skipped (see next comment), all 
rules are dropped → `500`.
   
   **Fix**: add `"key-auth": {}` (or another auth plugin) to the route plugins.



##########
blog/en/blog/2026/04/14/apisix-3.16-dynamic-rate-limiting.md:
##########
@@ -0,0 +1,329 @@
+---
+title: "What's New in Apache APISIX 3.16: Dynamic Rate Limiting for Your API 
Gateway"
+authors:
+  - name: "Ming Wen"
+    title: "Author"
+    url: "https://github.com/moonming";
+    image_url: "https://github.com/moonming.png";
+keywords:
+  - Apache APISIX
+  - API Gateway
+  - Rate Limiting
+  - Dynamic Rate Limiting
+  - AI Gateway
+  - Multi-Tenant
+  - Token Budget
+description: Apache APISIX 3.16 introduces dynamic rate limiting with multiple 
rules and variable support across limit-count, limit-conn, and ai-rate-limiting 
plugins, enabling context-aware, per-tier, and multi-tenant rate limiting in a 
single route configuration.
+tags: [Products]
+---
+
+Rate limiting is one of the most critical capabilities in any API gateway. Yet 
for years, most gateways — including APISIX — have treated it as a static, 
one-size-fits-all configuration: set a number, set a time window, done.
+
+In practice, real-world rate limiting is far more nuanced. A SaaS platform 
needs different quotas for free and paid users. An AI gateway must enforce 
token budgets that vary by model and consumer. A multi-tenant API must isolate 
rate limits per tenant without duplicating routes.
+
+Apache APISIX 3.16 addresses these challenges head-on with two powerful 
enhancements to the rate limiting plugins: **multiple rules** and **variable 
support**. Together, they transform rate limiting from static configuration 
into a dynamic, context-aware policy engine.
+
+<!--truncate-->
+
+## What Changed in APISIX 3.16
+
+APISIX 3.16 introduces two complementary features across the `limit-count`, 
`limit-conn`, and `ai-rate-limiting` plugins:
+
+| Feature | Description | Supported Plugins |
+|---------|-------------|-------------------|
+| Multiple rules | Define an array of rate limiting rules with independent 
thresholds and time windows | `limit-count`, `limit-conn`, `ai-rate-limiting` |
+| Variable support | Use APISIX variables (`${remote_addr}`, `${http_*}`, 
`${consumer_name}`, etc.) in `count`, `time_window`, and `key` fields, with 
optional default values via `${var ?? default}` | `limit-count`, `limit-conn`, 
`ai-rate-limiting` |
+
+Both features are fully backward compatible. Existing configurations continue 
to work without modification.
+
+## Multiple Rules: Beyond Single-Threshold Rate Limiting
+
+### The Problem
+
+Consider a common requirement: limit an API to **10 requests per second** and 
**500 requests per minute**. Before 3.16, you had to configure two separate 
plugin instances or chain multiple routes. This was verbose, error-prone, and 
hard to maintain.
+
+### The Solution
+
+The new `rules` array lets you define multiple rate limiting policies in a 
single plugin configuration. Each rule operates independently with its own 
counter, time window, and key.
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": 10,
+          "time_window": 1,
+          "key": "${remote_addr}_per_second",
+          "header_prefix": "per-second"
+        },
+        {
+          "count": 500,
+          "time_window": 60,
+          "key": "${remote_addr}_per_minute",
+          "header_prefix": "per-minute"
+        },
+        {
+          "count": 10000,
+          "time_window": 86400,
+          "key": "${remote_addr}_per_day",
+          "header_prefix": "per-day"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+With this configuration, APISIX enforces all three limits simultaneously. A 
client hitting the per-second limit receives a `429` response with headers 
indicating which limit was exceeded:
+
+```
+X-Per-Second-RateLimit-Limit: 10
+X-Per-Second-RateLimit-Remaining: 0
+X-Per-Second-RateLimit-Reset: 1
+X-Per-Minute-RateLimit-Limit: 500
+X-Per-Minute-RateLimit-Remaining: 499
+X-Per-Minute-RateLimit-Reset: 60
+```
+
+The `header_prefix` field lets clients distinguish which rule triggered the 
rejection — critical for debugging and client-side retry logic.
+
+## Variable Support: Context-Aware Rate Limiting
+
+### The Problem
+
+Static rate limits assume every consumer is equal. In reality, a free-tier 
user and an enterprise customer should have very different quotas. Before 3.16, 
supporting this meant creating separate routes for each tier — leading to route 
explosion and configuration drift.
+
+### The Solution
+
+Variable support lets you pull rate limiting parameters directly from the 
request context. The `count`, `time_window`, and `key` fields now accept APISIX 
variables.
+
+### Example 1: Per-Tier Rate Limiting via HTTP Header
+
+Suppose your authentication middleware injects an `X-Rate-Quota` header based 
on the user's subscription tier:
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": "${http_x_rate_quota ?? 100}",
+          "time_window": 60,
+          "key": "${consumer_name}"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+Now the same route handles all tiers:
+
+| Tier | `X-Rate-Quota` Header | Effective Limit |
+|------|----------------------|-----------------|
+| Free | 100 | 100 req/min |
+| Pro | 1000 | 1,000 req/min |
+| Enterprise | 50000 | 50,000 req/min |
+
+One route. One plugin configuration. All tiers.
+
+### Example 2: Multi-Tenant Isolation with Variable Combination
+
+For a multi-tenant SaaS API, you can combine variables to create isolated rate 
limit buckets per tenant per endpoint:
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": 1000,
+          "time_window": 60,
+          "key": "${http_x_tenant_id} ${uri}"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+Tenant A calling `/api/v1/users` and Tenant B calling the same endpoint get 
independent counters. Tenant A calling `/api/v1/orders` gets yet another 
counter. This creates a natural per-tenant-per-endpoint isolation without any 
route duplication.
+
+### Example 3: Dynamic Concurrent Connection Limits
+
+The `limit-conn` plugin also supports rules and variables, enabling dynamic 
concurrency control:
+
+```json
+{
+  "uri": "/api/v1/inference",
+  "plugins": {
+    "limit-conn": {
+      "default_conn_delay": 0.1,
+      "rules": [
+        {
+          "conn": 5,
+          "burst": 2,
+          "key": "${consumer_name}"
+        },
+        {
+          "conn": 100,
+          "burst": 20,
+          "key": "global"
+        }
+      ],
+      "rejected_code": 503
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+This limits each consumer to 5 concurrent connections while capping the total 
at 100 — preventing any single consumer from monopolizing backend capacity.
+
+## AI Rate Limiting: Token Budget Management
+
+For AI gateway use cases, the `ai-rate-limiting` plugin combines multiple 
rules with variable support for fine-grained token budget control:
+
+```json
+{
+  "uri": "/v1/chat/completions",
+  "plugins": {
+    "ai-rate-limiting": {
+      "limit_strategy": "total_tokens",
+      "rules": [
+        {
+          "count": 10000,
+          "time_window": 60,
+          "key": "${consumer_name}_per_minute",
+          "header_prefix": "consumer"
+        },
+        {
+          "count": 500000,
+          "time_window": 86400,
+          "key": "${consumer_name}_per_day",
+          "header_prefix": "daily"
+        },
+        {
+          "count": 1000000,
+          "time_window": 60,
+          "key": "global",
+          "header_prefix": "global"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },

Review Comment:
   **Bug: `"key": "global"` is silently skipped here too (same `n_resolved == 
0` issue).**
   
   `ai-rate-limiting` delegates to `limit-count` internally for the `rules` 
path. The same `n_resolved == 0` guard applies, so the `"global"` constant key 
rule is never enforced.
   
   Combined with the missing `ai-proxy` issue on the same example, the global 
capacity cap described in point 3 of the explanation below this block never 
takes effect.
   
   **Workaround**: `"key": "${http_host ?? global}"` (same fix as the 
`limit-conn` example).



##########
blog/en/blog/2026/04/14/apisix-3.16-dynamic-rate-limiting.md:
##########
@@ -0,0 +1,329 @@
+---
+title: "What's New in Apache APISIX 3.16: Dynamic Rate Limiting for Your API 
Gateway"
+authors:
+  - name: "Ming Wen"
+    title: "Author"
+    url: "https://github.com/moonming";
+    image_url: "https://github.com/moonming.png";
+keywords:
+  - Apache APISIX
+  - API Gateway
+  - Rate Limiting
+  - Dynamic Rate Limiting
+  - AI Gateway
+  - Multi-Tenant
+  - Token Budget
+description: Apache APISIX 3.16 introduces dynamic rate limiting with multiple 
rules and variable support across limit-count, limit-conn, and ai-rate-limiting 
plugins, enabling context-aware, per-tier, and multi-tenant rate limiting in a 
single route configuration.
+tags: [Products]
+---
+
+Rate limiting is one of the most critical capabilities in any API gateway. Yet 
for years, most gateways — including APISIX — have treated it as a static, 
one-size-fits-all configuration: set a number, set a time window, done.
+
+In practice, real-world rate limiting is far more nuanced. A SaaS platform 
needs different quotas for free and paid users. An AI gateway must enforce 
token budgets that vary by model and consumer. A multi-tenant API must isolate 
rate limits per tenant without duplicating routes.
+
+Apache APISIX 3.16 addresses these challenges head-on with two powerful 
enhancements to the rate limiting plugins: **multiple rules** and **variable 
support**. Together, they transform rate limiting from static configuration 
into a dynamic, context-aware policy engine.
+
+<!--truncate-->
+
+## What Changed in APISIX 3.16
+
+APISIX 3.16 introduces two complementary features across the `limit-count`, 
`limit-conn`, and `ai-rate-limiting` plugins:
+
+| Feature | Description | Supported Plugins |
+|---------|-------------|-------------------|
+| Multiple rules | Define an array of rate limiting rules with independent 
thresholds and time windows | `limit-count`, `limit-conn`, `ai-rate-limiting` |
+| Variable support | Use APISIX variables (`${remote_addr}`, `${http_*}`, 
`${consumer_name}`, etc.) in `count`, `time_window`, and `key` fields, with 
optional default values via `${var ?? default}` | `limit-count`, `limit-conn`, 
`ai-rate-limiting` |
+
+Both features are fully backward compatible. Existing configurations continue 
to work without modification.
+
+## Multiple Rules: Beyond Single-Threshold Rate Limiting
+
+### The Problem
+
+Consider a common requirement: limit an API to **10 requests per second** and 
**500 requests per minute**. Before 3.16, you had to configure two separate 
plugin instances or chain multiple routes. This was verbose, error-prone, and 
hard to maintain.
+
+### The Solution
+
+The new `rules` array lets you define multiple rate limiting policies in a 
single plugin configuration. Each rule operates independently with its own 
counter, time window, and key.
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": 10,
+          "time_window": 1,
+          "key": "${remote_addr}_per_second",
+          "header_prefix": "per-second"
+        },
+        {
+          "count": 500,
+          "time_window": 60,
+          "key": "${remote_addr}_per_minute",
+          "header_prefix": "per-minute"
+        },
+        {
+          "count": 10000,
+          "time_window": 86400,
+          "key": "${remote_addr}_per_day",
+          "header_prefix": "per-day"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+With this configuration, APISIX enforces all three limits simultaneously. A 
client hitting the per-second limit receives a `429` response with headers 
indicating which limit was exceeded:
+
+```
+X-Per-Second-RateLimit-Limit: 10
+X-Per-Second-RateLimit-Remaining: 0
+X-Per-Second-RateLimit-Reset: 1
+X-Per-Minute-RateLimit-Limit: 500
+X-Per-Minute-RateLimit-Remaining: 499
+X-Per-Minute-RateLimit-Reset: 60
+```
+
+The `header_prefix` field lets clients distinguish which rule triggered the 
rejection — critical for debugging and client-side retry logic.
+
+## Variable Support: Context-Aware Rate Limiting
+
+### The Problem
+
+Static rate limits assume every consumer is equal. In reality, a free-tier 
user and an enterprise customer should have very different quotas. Before 3.16, 
supporting this meant creating separate routes for each tier — leading to route 
explosion and configuration drift.
+
+### The Solution
+
+Variable support lets you pull rate limiting parameters directly from the 
request context. The `count`, `time_window`, and `key` fields now accept APISIX 
variables.
+
+### Example 1: Per-Tier Rate Limiting via HTTP Header
+
+Suppose your authentication middleware injects an `X-Rate-Quota` header based 
on the user's subscription tier:
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": "${http_x_rate_quota ?? 100}",
+          "time_window": 60,
+          "key": "${consumer_name}"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+Now the same route handles all tiers:
+
+| Tier | `X-Rate-Quota` Header | Effective Limit |
+|------|----------------------|-----------------|
+| Free | 100 | 100 req/min |
+| Pro | 1000 | 1,000 req/min |
+| Enterprise | 50000 | 50,000 req/min |
+
+One route. One plugin configuration. All tiers.
+
+### Example 2: Multi-Tenant Isolation with Variable Combination
+
+For a multi-tenant SaaS API, you can combine variables to create isolated rate 
limit buckets per tenant per endpoint:
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": 1000,
+          "time_window": 60,
+          "key": "${http_x_tenant_id} ${uri}"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+Tenant A calling `/api/v1/users` and Tenant B calling the same endpoint get 
independent counters. Tenant A calling `/api/v1/orders` gets yet another 
counter. This creates a natural per-tenant-per-endpoint isolation without any 
route duplication.
+
+### Example 3: Dynamic Concurrent Connection Limits
+
+The `limit-conn` plugin also supports rules and variables, enabling dynamic 
concurrency control:
+
+```json
+{
+  "uri": "/api/v1/inference",
+  "plugins": {
+    "limit-conn": {
+      "default_conn_delay": 0.1,
+      "rules": [
+        {
+          "conn": 5,
+          "burst": 2,
+          "key": "${consumer_name}"
+        },
+        {
+          "conn": 100,
+          "burst": 20,
+          "key": "global"
+        }
+      ],
+      "rejected_code": 503
+    }
+  },
+  "upstream": {

Review Comment:
   **Bug: a plain string key like `"global"` also triggers the `n_resolved == 
0` skip and is never applied.**
   
   This is the second part of the `limit-conn` bug. Since `"global"` contains 
no `${}` variable expression, `core.utils.resolve_var("global", ctx.var)` 
returns `n_resolved = 0`. The guard `if n_resolved == 0 then goto CONTINUE` 
then skips this rule too.
   
   In this example both rules are skipped → empty rules list → `500`.
   
   **This is also a code-level bug in APISIX**: constant string keys should be 
valid and usable directly. The `n_resolved == 0` check should only skip a rule 
when the key *contains* a variable expression that failed to resolve, not when 
the key is a plain constant.
   
   **Workaround until the APISIX bug is fixed**: replace the bare constant with 
a variable expression that always resolves:
   ```json
   "key": "${http_host ?? global}"
   ```
   `http_host` is present on every request, so `n_resolved = 1`. The resulting 
key value is the Host header (effectively a per-service shared counter), or 
`"global"` as fallback if the header is absent.



##########
blog/en/blog/2026/04/14/apisix-3.16-dynamic-rate-limiting.md:
##########
@@ -0,0 +1,329 @@
+---
+title: "What's New in Apache APISIX 3.16: Dynamic Rate Limiting for Your API 
Gateway"
+authors:
+  - name: "Ming Wen"
+    title: "Author"
+    url: "https://github.com/moonming";
+    image_url: "https://github.com/moonming.png";
+keywords:
+  - Apache APISIX
+  - API Gateway
+  - Rate Limiting
+  - Dynamic Rate Limiting
+  - AI Gateway
+  - Multi-Tenant
+  - Token Budget
+description: Apache APISIX 3.16 introduces dynamic rate limiting with multiple 
rules and variable support across limit-count, limit-conn, and ai-rate-limiting 
plugins, enabling context-aware, per-tier, and multi-tenant rate limiting in a 
single route configuration.
+tags: [Products]
+---
+
+Rate limiting is one of the most critical capabilities in any API gateway. Yet 
for years, most gateways — including APISIX — have treated it as a static, 
one-size-fits-all configuration: set a number, set a time window, done.
+
+In practice, real-world rate limiting is far more nuanced. A SaaS platform 
needs different quotas for free and paid users. An AI gateway must enforce 
token budgets that vary by model and consumer. A multi-tenant API must isolate 
rate limits per tenant without duplicating routes.
+
+Apache APISIX 3.16 addresses these challenges head-on with two powerful 
enhancements to the rate limiting plugins: **multiple rules** and **variable 
support**. Together, they transform rate limiting from static configuration 
into a dynamic, context-aware policy engine.
+
+<!--truncate-->
+
+## What Changed in APISIX 3.16
+
+APISIX 3.16 introduces two complementary features across the `limit-count`, 
`limit-conn`, and `ai-rate-limiting` plugins:
+
+| Feature | Description | Supported Plugins |
+|---------|-------------|-------------------|
+| Multiple rules | Define an array of rate limiting rules with independent 
thresholds and time windows | `limit-count`, `limit-conn`, `ai-rate-limiting` |
+| Variable support | Use APISIX variables (`${remote_addr}`, `${http_*}`, 
`${consumer_name}`, etc.) in `count`, `time_window`, and `key` fields, with 
optional default values via `${var ?? default}` | `limit-count`, `limit-conn`, 
`ai-rate-limiting` |
+
+Both features are fully backward compatible. Existing configurations continue 
to work without modification.
+
+## Multiple Rules: Beyond Single-Threshold Rate Limiting
+
+### The Problem
+
+Consider a common requirement: limit an API to **10 requests per second** and 
**500 requests per minute**. Before 3.16, you had to configure two separate 
plugin instances or chain multiple routes. This was verbose, error-prone, and 
hard to maintain.
+
+### The Solution
+
+The new `rules` array lets you define multiple rate limiting policies in a 
single plugin configuration. Each rule operates independently with its own 
counter, time window, and key.
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": 10,
+          "time_window": 1,
+          "key": "${remote_addr}_per_second",
+          "header_prefix": "per-second"
+        },
+        {
+          "count": 500,
+          "time_window": 60,
+          "key": "${remote_addr}_per_minute",
+          "header_prefix": "per-minute"
+        },
+        {
+          "count": 10000,
+          "time_window": 86400,
+          "key": "${remote_addr}_per_day",
+          "header_prefix": "per-day"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+With this configuration, APISIX enforces all three limits simultaneously. A 
client hitting the per-second limit receives a `429` response with headers 
indicating which limit was exceeded:
+
+```
+X-Per-Second-RateLimit-Limit: 10
+X-Per-Second-RateLimit-Remaining: 0
+X-Per-Second-RateLimit-Reset: 1
+X-Per-Minute-RateLimit-Limit: 500
+X-Per-Minute-RateLimit-Remaining: 499
+X-Per-Minute-RateLimit-Reset: 60
+```
+
+The `header_prefix` field lets clients distinguish which rule triggered the 
rejection — critical for debugging and client-side retry logic.
+
+## Variable Support: Context-Aware Rate Limiting
+
+### The Problem
+
+Static rate limits assume every consumer is equal. In reality, a free-tier 
user and an enterprise customer should have very different quotas. Before 3.16, 
supporting this meant creating separate routes for each tier — leading to route 
explosion and configuration drift.
+
+### The Solution
+
+Variable support lets you pull rate limiting parameters directly from the 
request context. The `count`, `time_window`, and `key` fields now accept APISIX 
variables.
+
+### Example 1: Per-Tier Rate Limiting via HTTP Header
+
+Suppose your authentication middleware injects an `X-Rate-Quota` header based 
on the user's subscription tier:
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": "${http_x_rate_quota ?? 100}",
+          "time_window": 60,
+          "key": "${consumer_name}"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+Now the same route handles all tiers:
+
+| Tier | `X-Rate-Quota` Header | Effective Limit |
+|------|----------------------|-----------------|
+| Free | 100 | 100 req/min |
+| Pro | 1000 | 1,000 req/min |
+| Enterprise | 50000 | 50,000 req/min |
+
+One route. One plugin configuration. All tiers.
+
+### Example 2: Multi-Tenant Isolation with Variable Combination
+
+For a multi-tenant SaaS API, you can combine variables to create isolated rate 
limit buckets per tenant per endpoint:
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": 1000,
+          "time_window": 60,
+          "key": "${http_x_tenant_id} ${uri}"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+Tenant A calling `/api/v1/users` and Tenant B calling the same endpoint get 
independent counters. Tenant A calling `/api/v1/orders` gets yet another 
counter. This creates a natural per-tenant-per-endpoint isolation without any 
route duplication.
+
+### Example 3: Dynamic Concurrent Connection Limits
+
+The `limit-conn` plugin also supports rules and variables, enabling dynamic 
concurrency control:
+
+```json
+{
+  "uri": "/api/v1/inference",
+  "plugins": {
+    "limit-conn": {
+      "default_conn_delay": 0.1,
+      "rules": [
+        {
+          "conn": 5,
+          "burst": 2,
+          "key": "${consumer_name}"
+        },
+        {
+          "conn": 100,
+          "burst": 20,
+          "key": "global"
+        }
+      ],
+      "rejected_code": 503
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+This limits each consumer to 5 concurrent connections while capping the total 
at 100 — preventing any single consumer from monopolizing backend capacity.
+
+## AI Rate Limiting: Token Budget Management
+
+For AI gateway use cases, the `ai-rate-limiting` plugin combines multiple 
rules with variable support for fine-grained token budget control:
+
+```json
+{
+  "uri": "/v1/chat/completions",
+  "plugins": {
+    "ai-rate-limiting": {
+      "limit_strategy": "total_tokens",
+      "rules": [
+        {
+          "count": 10000,
+          "time_window": 60,
+          "key": "${consumer_name}_per_minute",
+          "header_prefix": "consumer"
+        },
+        {
+          "count": 500000,
+          "time_window": 86400,
+          "key": "${consumer_name}_per_day",
+          "header_prefix": "daily"
+        },
+        {
+          "count": 1000000,
+          "time_window": 60,
+          "key": "global",
+          "header_prefix": "global"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },
+  "upstream": {
+    "type": "roundrobin",
+    "nodes": {
+      "127.0.0.1:1980": 1
+    }
+  }
+}
+```
+
+This configuration enforces three simultaneous constraints:
+
+1. **Per-consumer burst**: 10,000 tokens per minute per consumer
+2. **Per-consumer daily**: 500,000 tokens per day per consumer
+3. **Global capacity**: 1,000,000 tokens per minute across all consumers
+
+As AI API costs scale directly with token usage, this kind of layered budget 
control is essential for production AI gateways.
+
+## Combining Multiple Rules with Variables
+
+The real power emerges when you combine both features. Here is a complete 
example for an API platform with tiered pricing:
+
+```json
+{
+  "uri": "/api/v1/*",
+  "plugins": {
+    "limit-count": {
+      "rules": [
+        {
+          "count": "${http_x_burst_quota ?? 10}",
+          "time_window": 1,
+          "key": "${consumer_name}_per_second",
+          "header_prefix": "burst"
+        },
+        {
+          "count": "${http_x_sustained_quota ?? 500}",
+          "time_window": 60,
+          "key": "${consumer_name}_per_minute",
+          "header_prefix": "sustained"
+        },
+        {
+          "count": 100000,
+          "time_window": 60,
+          "key": "global",
+          "header_prefix": "global"
+        }
+      ],
+      "rejected_code": 429
+    }
+  },

Review Comment:
   **Bug: `"key": "global"` is silently skipped — same `n_resolved == 0` issue 
as the `limit-conn` example.**
   
   Even if rules 1 and 2 were working (with a consumer), this global safety cap 
rule would never be applied because the constant string `"global"` produces 
`n_resolved = 0`.
   
   This means the "static global safety cap" described in the paragraph below 
this block is never actually enforced, which defeats a key part of the 
example's purpose.
   
   **Workaround**: `"key": "${http_host ?? global}"` until the upstream APISIX 
bug is fixed.



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