Aig workers ai binding third party

src/content/docs/ai-gateway/evaluations/add-human-feedback-bindings.mdx

@@ -32,7 +32,7 @@ Let the user interact with or evaluate the AI response. This interaction will in
 
 ## 2. Send Human Feedback
 
-Use the [`patchLog()`](/ai-gateway/integrations/worker-binding-methods/#31-patchlog-send-feedback) method to provide feedback for the AI evaluation.
+Use the [`patchLog()`](/ai-gateway/integrations/worker-binding-methods/#patchlog) method to provide feedback for the AI evaluation.
 
 ```javascript
 await env.AI.gateway("my-gateway").patchLog(myLogId, {

src/content/docs/ai-gateway/features/unified-billing.mdx

@@ -49,9 +49,33 @@ When your balance falls below the set threshold, AI Gateway will automatically a
 
 ## Use Unified Billing
 
-Call any supported provider without passing an API Key. The request will automatically use Cloudflare's key and deduct credits from your account.
+Unified Billing works in two ways: through the AI binding or through the HTTP API. Both deduct credits from your account automatically without requiring provider API keys.
+
+:::note
+Workers AI models (models prefixed with `@cf/`) routed through AI Gateway are not charged via Unified Billing. These models are billed through [Workers AI pricing](/workers-ai/platform/pricing/) instead. Unified Billing only applies to third-party provider models (such as OpenAI, Anthropic, and Google AI Studio).
+:::
+
+### AI binding
+
+Call any model listed in the [model catalog](https://developers.cloudflare.com/ai/models/) using `env.AI.run()`. This includes both Workers AI models and third-party models from providers like OpenAI, Anthropic, and Google.
+
+```typescript
+const resp = await env.AI.run(
+	"openai/gpt-4.1-mini",
+	{
+		messages: [{ role: "user", content: "What is Cloudflare?" }],
+	},
+	{
+		gateway: { id: "my-gateway" },
+	},
+);
+```
+
+Refer to the [binding reference](/ai-gateway/integrations/worker-binding-methods/) for the full API surface.
+
+### HTTP API
 
-For example, you can use the Unified API:
+Call a supported provider through the AI Gateway REST API without passing a provider API key. Use the `cf-aig-authorization` header to authenticate with your Cloudflare API token.
 
 ```bash
 curl -X POST https://gateway.ai.cloudflare.com/v1/$CLOUDFLARE_ACCOUNT_ID/default/compat/chat/completions \
@@ -70,6 +94,15 @@ curl -X POST https://gateway.ai.cloudflare.com/v1/$CLOUDFLARE_ACCOUNT_ID/default
 
 The `default` gateway is created automatically on your first request. Replace `default` with a specific gateway ID if you have already created one.
 
+The HTTP API supports the following providers through [provider-native endpoints](/ai-gateway/usage/providers/) and the [Unified API (chat completions)](/ai-gateway/usage/chat-completion/):
+
+- [OpenAI](/ai-gateway/usage/providers/openai/)
+- [Anthropic](/ai-gateway/usage/providers/anthropic/)
+- [Google AI Studio](/ai-gateway/usage/providers/google-ai-studio/)
+- [Google Vertex AI](/ai-gateway/usage/providers/vertex/)
+- [xAI](/ai-gateway/usage/providers/grok/)
+- [Groq](/ai-gateway/usage/providers/groq/)
+
 ### Spend limits
 
 Set spend limits to prevent unexpected charges on your loaded credits. You can define daily, weekly, or monthly limits. When a limit is reached, the AI Gateway automatically stops processing requests until the period resets or you increase the limit.
@@ -129,13 +162,3 @@ curl -X POST https://gateway.ai.cloudflare.com/v1/$CLOUDFLARE_ACCOUNT_ID/{gatewa
     ]
   }'
 ```
-
-### Supported providers
-
-Unified Billing supports the following AI providers:
-
-- [OpenAI](/ai-gateway/usage/providers/openai/)
-- [Anthropic](/ai-gateway/usage/providers/anthropic/)
-- [Google AI Studio](/ai-gateway/usage/providers/google-ai-studio/)
-- [xAI](/ai-gateway/usage/providers/grok/)
-- [Groq](/ai-gateway/usage/providers/groq/)

src/content/docs/ai-gateway/integrations/agents.mdx

@@ -3,8 +3,7 @@ pcx_content_type: navigation
 title: Agents
 external_link: /agents/
 sidebar:
-  order: 10
+  order: 3
 head: []
 description: Build AI-powered Agents on Cloudflare
 ---
-

src/content/docs/ai-gateway/integrations/aig-workers-ai-binding.mdx

@@ -1,7 +1,8 @@
 ---
-title: Workers AI
+title: Set up Workers AI with AI Gateway
 pcx_content_type: tutorial
-reviewed: 2024-10-17
+sidebar:
+  order: 4
 description: >-
   This guide will walk you through setting up and deploying a Workers AI project. You will use Workers, an AI Gateway binding, and a large language model (LLM) to deploy your first AI-powered application on the Cloudflare global network.
 ---
@@ -56,8 +57,8 @@ To bind Workers AI to your Worker, add the following to the end of your [Wrangle
 ```jsonc
 {
 	"ai": {
-		"binding": "AI"
-	}
+		"binding": "AI",
+	},
 }
 ```
 
@@ -120,12 +121,7 @@ You will be prompted to log in after you run `wrangler dev`. When you run `npx w
 
 ```json
 {
-  "response": "A fascinating question!\n\nThe phrase \"Hello, World!\" originates from a simple computer program written in the early days of programming. It is often attributed to Brian Kernighan, a Canadian computer scientist and a pioneer in the field of computer programming.\n\nIn the early 1970s, Kernighan, along with his colleague Dennis Ritchie, were working on the C programming language. They wanted to create a simple program that would output a message to the screen to demonstrate the basic structure of a program. They chose the phrase \"Hello, World!\" because it was a simple and recognizable message that would illustrate how a program could print text to the screen.\n\nThe exact code was written in the 5th edition of Kernighan and Ritchie's book \"The C Programming Language,\" published in 1988. The code, literally known as \"Hello, World!\" is as follows:\n\n```
-main()
-{
-  printf(\"Hello, World!\");
-}
-```\n\nThis code is still often used as a starting point for learning programming languages, as it demonstrates how to output a simple message to the console.\n\nThe phrase \"Hello, World!\" has since become a catch-all phrase to indicate the start of a new program or a small test program, and is widely used in computer science and programming education.\n\nSincerely, I'm glad I could help clarify the origin of this iconic phrase for you!"
+  "response": "A fascinating question!\n\nThe phrase \"Hello, World!\" originates from a simple computer program written in the early days of programming. It is often attributed to Brian Kernighan, a Canadian computer scientist and a pioneer in the field of computer programming.\n\nIn the early 1970s, Kernighan, along with his colleague Dennis Ritchie, were working on the C programming language. They wanted to create a simple program that would output a message to the screen to demonstrate the basic structure of a program. They chose the phrase \"Hello, World!\" because it was a simple and recognizable message that would illustrate how a program could print text to the screen.\n\nThe exact code was written in the 5th edition of Kernighan and Ritchie's book \"The C Programming Language,\" published in 1988. The code, literally known as \"Hello, World!\" is as follows:\n\n    main()\n    {\n      printf(\"Hello, World!\");\n    }\n\nThis code is still often used as a starting point for learning programming languages, as it demonstrates how to output a simple message to the console.\n\nThe phrase \"Hello, World!\" has since become a catch-all phrase to indicate the start of a new program or a small test program, and is widely used in computer science and programming education.\n\nSincerely, I'm glad I could help clarify the origin of this iconic phrase for you!"
 }
 ```
 
@@ -154,3 +150,7 @@ https://hello-ai.<YOUR_SUBDOMAIN>.workers.dev
 Your Worker will be deployed to your custom [`workers.dev`](/workers/configuration/routing/workers-dev/) subdomain. You can now visit the URL to run your AI Worker.
 
 By completing this tutorial, you have created a Worker, connected it to Workers AI through an AI Gateway binding, and successfully ran an inference task using the Llama 3.1 model.
+
+## Next steps
+
+- [Workers bindings](/ai-gateway/integrations/worker-binding-methods/) — Call third-party models, access gateway methods, and integrate with AI SDKs.

src/content/docs/ai-gateway/integrations/vercel-ai-sdk.mdx

@@ -2,14 +2,10 @@
 title: Vercel AI SDK
 pcx_content_type: configuration
 sidebar:
-  order: 3
+  order: 2
 ---
 
-import {
-  Details,
-  Tabs,
-  TabItem
-} from "~/components";
+import { Details, Tabs, TabItem } from "~/components";
 import CodeSnippets from "~/components/ai-gateway/code-examples.astro";
 
 The [Vercel AI SDK](https://sdk.vercel.ai/) is a TypeScript library for building AI applications. The SDK supports many different AI providers, tools for streaming completions, and more.
@@ -21,20 +17,44 @@ To use Cloudflare AI Gateway with Vercel AI SDK, you will need to use the `ai-ga
 npm install ai-gateway-provider
 ```
 
-## Examples 
+## Examples
 
 <CodeSnippets forceClient="aisdk" />
 
+### AI binding with third-party models
+
+If you are already using the [`workers-ai-provider`](https://www.npmjs.com/package/workers-ai-provider) package, you can route requests through AI Gateway to call third-party models without needing separate provider SDKs. Pass a `gateway` option with your gateway ID to `createWorkersAI`:
+
+```ts
+import { createWorkersAI } from "workers-ai-provider";
+import { streamText } from "ai";
+
+export default {
+	async fetch(request, env) {
+		const workersai = createWorkersAI({
+			binding: env.AI,
+			gateway: { id: "my-gateway" },
+		});
+
+		const result = streamText({
+			model: workersai("openai/gpt-4o"),
+			messages: [{ role: "user", content: "Write a short story" }],
+		});
+
+		return result.toTextStreamResponse();
+	},
+} satisfies ExportedHandler<Env>;
+```
+
+This works with any [supported provider and model](/ai-gateway/usage/providers/) available through AI Gateway.
+
 ### Fallback Providers
 
 To specify model or provider fallbacks to handle request failures and ensure reliability, you can pass an array of models to the `model` option.
 
 ```js title=""
 const { text } = await generateText({
-  model: aigateway([
-		openai.chat("gpt-5.1"), anthropic("claude-sonnet-4-5")
-  ]),
-  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
+	model: aigateway([openai.chat("gpt-5.1"), anthropic("claude-sonnet-4-5")]),
+	prompt: "Write a vegetarian lasagna recipe for 4 people.",
 });
 ```
-