Merge branch 'production' into ai-sidenav

Author: kodster28

src/content/docs/cache/how-to/purge-cache/index.mdx

@@ -18,6 +18,18 @@ If versioning is active on your zone and multiple environments are configured, y
 
 <FeatureTable id="cache.purge_cache" />
 
+### Hostname, tag, prefix URL, and purge everything limits
+
+The current purge limits are applied per **account**: 
+
+<FeatureTable id="cache.purge_limits" />
+
+### Single-file purge limits
+
+The current purge limits are applied per **account**:
+
+<FeatureTable id="cache.single_file_purge" />
+
 ### Token bucket rate limiting
 
 Cloudflare uses token bucket rate limiting to limit the number of purge requests flowing through the system at any given time, ensuring a steady and manageable flow. 

src/content/docs/workers-ai/features/function-calling/embedded/get-started.mdx

@@ -7,6 +7,7 @@ head:
   - tag: title
     content: Get Started
 ---
+import { TypeScriptExample } from "~/components";
 
 This guide will instruct you through setting up and deploying your first Workers AI project with embedded function calling. You will use Workers, a Workers AI binding, the [`ai-utils package`](https://github.com/cloudflare/ai-utils), and a large language model (LLM) to deploy your first AI-powered application on the Cloudflare global network with embedded function calling.
 
@@ -26,7 +27,10 @@ npm install @cloudflare/ai-utils --save
 
 Update the `index.ts` file in your application directory with the following code:
 
-```ts title="Embedded function calling example"
+
+<TypeScriptExample filename="index.ts">
+
+```ts
 import { runWithTools } from "@cloudflare/ai-utils";
 
 type Env = {
@@ -76,6 +80,7 @@ export default {
 	},
 } satisfies ExportedHandler<Env>;
 ```
+</TypeScriptExample>
 
 This example imports the utils with `import { runWithTools} from "@cloudflare/ai-utils"` and follows the API reference below.
 

src/content/docs/workers-ai/get-started/workers-wrangler.mdx

@@ -9,7 +9,7 @@ head:
 description: Deploy your first Cloudflare Workers AI project using the CLI.
 ---
 
-import { Render, PackageManagers, WranglerConfig } from "~/components";
+import { Render, PackageManagers, WranglerConfig, TypeScriptExample } from "~/components";
 
 This guide will instruct you through setting up and deploying your first Workers AI project. You will use [Workers](/workers/), a Workers AI binding, and a large language model (LLM) to deploy your first AI-powered application on the Cloudflare global network.
 
@@ -73,7 +73,9 @@ You are now ready to run an inference task in your Worker. In this case, you wil
 
 Update the `index.ts` file in your `hello-ai` application directory with the following code:
 
-```typescript title="src/index.ts"
+<TypeScriptExample filename="index.ts">
+
+```ts
 export interface Env {
 	// If you set another name in the Wrangler config file as the value for 'binding',
 	// replace "AI" with the variable name you defined.
@@ -90,6 +92,7 @@ export default {
 	},
 } satisfies ExportedHandler<Env>;
 ```
+</TypeScriptExample>
 
 Up to this point, you have created an AI binding for your Worker and configured your Worker to be able to execute the Llama 3.1 model. You can now test your project locally before you deploy globally.
 

src/content/plans/index.json

@@ -441,20 +441,48 @@
                     "pro": "URL, Hostname, Tag, Prefix, and Purge Everything",
                     "biz": "URL, Hostname, Tag, Prefix, and Purge Everything",
                     "ent": "URL, Hostname, Tag, Prefix, and Purge Everything"
+				}
+			}
+		},
+		"purge_limits": {
+			"title": "Purge limits for hostname, tag, prefix URL, and purge everything.",
+			"link": "/cache/how-to/purge-cache/",
+			"properties": {
+				"availability": {
+					"title": "Requests",
+					"summary": "Available on all plans",
+					"free": "5 requests per minute",
+					"pro": "5 requests per second",
+					"biz": "10 requests per second",
+					"ent": "50 requests per second"
+				},
+                "limits_bucket": {
+                    "title": "Bucket size",
+                    "free": "25",
+                    "pro": "25",
+                    "biz": "50",
+                    "ent": "500"
                 },
-                "limits": {
-                    "title": "Purge limits (tags, prefix URL, hostname, and purge everything). The limits are per account.",
-                    "free": "5 requests per minute with a bucket size of 25, supporting up to 100 operations per request.",
-                    "pro": "5 requests per second with a bucket size of 25, supporting up to 100 operations per request",
-                    "biz": "10 requests per second with a bucket size of 50, supporting up to 100 operations per request",
-                    "ent": "50 requests per second with a bucket size of 500, supporting up to 100 operations per request"
-                },
-                "limits_single_file": {
-                    "title": "Purge limits (single file purge). The limits are per account.",
-                    "free": "800 URLs per second",
-                    "pro": "1500 URLs per second",
-                    "biz": "1500 URLs per second",
-                    "ent": "3000 URLs per second"
+                "limits_operations": {
+                    "title": "Max operations per request",
+                    "free": "100",
+                    "pro": "100",
+                    "biz": "100",
+                    "ent": "100"
+				}
+			}
+		},
+		"single_file_purge": {
+			"title": "Single file purge",
+			"link": "/cache/how-to/purge-cache/purge-by-single-file/",
+			"properties": {
+				"availability": {
+					"title": "URLs",
+					"summary": "Available on all plans",
+					"free": "800 URLs per second",
+					"pro": "1500 URLs per second",
+					"biz": "1500 URLs per second",
+					"ent": "3000 URLs per second"
 				}
 			}
 		},