fix: update ai gateway model ids

Author: palashgo

src/content/docs/ai-gateway/configuration/authentication.mdx

@@ -29,7 +29,7 @@ curl https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/openai/chat/
   --header 'cf-aig-authorization: Bearer {CF_AIG_TOKEN}' \
   --header 'Authorization: Bearer OPENAI_TOKEN' \
   --header 'Content-Type: application/json' \
-  --data '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "What is Cloudflare?"}]}'
+  --data '{"model": "gpt-5-mini", "messages": [{"role": "user", "content": "What is Cloudflare?"}]}'
 ```
 
 Using the OpenAI SDK:

src/content/docs/ai-gateway/features/dynamic-routing/usage.mdx

@@ -49,7 +49,7 @@ curl -X POST https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/comp
   --header 'cf-aig-authorization: Bearer {CF_AIG_TOKEN}' \
   --header 'Content-Type: application/json' \
   --data '{
-    "model": "dynamic/gemini-2.0-flash",
+    "model": "dynamic/<your-dynamic-route-name>",
     "messages": [
       {
         "role": "user",
@@ -68,12 +68,12 @@ export interface Env {
 
 export default {
 	async fetch(request: Request, env: Env) {
-		const response = await env.AI.gateway("dfD").run({
+		const response = await env.AI.gateway("default").run({
 			provider: "compat",
 			endpoint: "chat/completion",
 			headers: {},
 			query: {
-				model: "dynamic/support",
+				model: "dynamic/<your-dynamic-route-name>",
 				messages: [
 					{
 						role: "user",

src/content/docs/ai-gateway/get-started.mdx

@@ -66,7 +66,7 @@ const client = new OpenAI({
 
 // Use different providers by changing the model parameter
 const response = await client.chat.completions.create({
-	model: "google-ai-studio/gemini-2.0-flash", // or "openai/gpt-4o", "anthropic/claude-3-haiku"
+	model: "google-ai-studio/gemini-2.5-flash", // or "openai/gpt-5-mini", "anthropic/claude-sonnet-4-5"
 	messages: [{ role: "user", content: "Hello, world!" }],
 });
 ```

src/content/docs/ai-gateway/usage/chat-completion.mdx

@@ -23,9 +23,9 @@ Switch providers by changing the `model` and `apiKey` parameters.
 
 Specify the model using `{provider}/{model}` format. For example:
 
-- `openai/gpt-4o-mini`
-- `google-ai-studio/gemini-2.0-flash`
-- `anthropic/claude-3-haiku`
+- `openai/gpt-5-mini`
+- `google-ai-studio/gemini-2.5-flash`
+- `anthropic/claude-sonnet-4-5`
 
 ## Examples
 
@@ -41,7 +41,7 @@ const client = new OpenAI({
 });
 
 const response = await client.chat.completions.create({
-	model: "google-ai-studio/gemini-2.0-flash",
+	model: "google-ai-studio/gemini-2.5-flash",
 	messages: [{ role: "user", content: "What is Cloudflare?" }],
 });
 
@@ -55,7 +55,7 @@ curl -X POST https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/comp
   --header 'Authorization: Bearer {GOOGLE_GENERATIVE_AI_API_KEY}' \
   --header 'Content-Type: application/json' \
   --data '{
-    "model": "google-ai-studio/gemini-2.0-flash",
+    "model": "google-ai-studio/gemini-2.5-flash",
     "messages": [
       {
         "role": "user",

src/content/docs/ai-gateway/usage/providers/anthropic.mdx

@@ -32,7 +32,7 @@ curl https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/anthropic/v1
  --header 'anthropic-version: 2023-06-01' \
  --header 'Content-Type: application/json' \
  --data  '{
-    "model": "claude-3-opus-20240229",
+    "model": "claude-sonnet-4-5",
     "max_tokens": 1024,
     "messages": [
       {"role": "user", "content": "What is Cloudflare?"}
@@ -57,7 +57,7 @@ const anthropic = new Anthropic({
 	baseURL,
 });
 
-const model = "claude-3-opus-20240229";
+const model = "claude-sonnet-4-5";
 const messages = [{ role: "user", content: "What is Cloudflare?" }];
 const maxTokens = 1024;
 

src/content/docs/ai-gateway/usage/providers/google-ai-studio.mdx

@@ -35,7 +35,7 @@ So your final URL will come together as: `https://gateway.ai.cloudflare.com/v1/{
 ### cURL
 
 ```bash title="Example fetch request"
-curl "https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_name}/google-ai-studio/v1/models/gemini-1.0-pro:generateContent" \
+curl "https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_name}/google-ai-studio/v1/models/gemini-2.5-flash:generateContent" \
  --header 'content-type: application/json' \
  --header 'x-goog-api-key: {google_studio_api_key}' \
  --data '{
@@ -63,7 +63,7 @@ const gateway_name = "";
 
 const genAI = new GoogleGenerativeAI(api_token);
 const model = genAI.getGenerativeModel(
-	{ model: "gemini-1.5-flash" },
+	{ model: "gemini-2.5-flash" },
 	{
 		baseUrl: `https://gateway.ai.cloudflare.com/v1/${account_id}/${gateway_name}/google-ai-studio`,
 	},

src/content/docs/ai-gateway/usage/providers/openai.mdx

@@ -71,7 +71,7 @@ const openai = new OpenAI({
 });
 
 try {
-	const model = "gpt-3.5-turbo-0613";
+	const model = "gpt-5-mini";
 	const messages = [{ role: "user", content: "What is a neuron?" }];
 	const maxTokens = 100;
 	const chatCompletion = await openai.chat.completions.create({

src/content/docs/ai-gateway/usage/providers/openrouter.mdx

@@ -33,7 +33,7 @@ curl -X POST https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/open
  --header 'content-type: application/json' \
  --header 'Authorization: Bearer OPENROUTER_TOKEN' \
  --data '{
-    "model": "openai/gpt-3.5-turbo",
+    "model": "openai/gpt-5-mini",
     "messages": [
         {
             "role": "user",
@@ -59,7 +59,7 @@ const openai = new OpenAI({
 
 try {
 	const chatCompletion = await openai.chat.completions.create({
-		model: "openai/gpt-3.5-turbo",
+		model: "openai/gpt-5-mini",
 		messages: [{ role: "user", content: "What is Cloudflare?" }],
 	});
 

src/content/docs/ai-gateway/usage/providers/vertex.mdx

@@ -38,7 +38,7 @@ Your new base URL will use the data above in this structure: `https://gateway.ai
 
 Then you can append the endpoint you want to hit, for example: `/publishers/google/models/{model}:{generative_ai_rest_resource}`
 
-So your final URL will come together as: `https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/google-vertex-ai/v1/projects/{project_name}/locations/{region}/publishers/google/models/gemini-1.0-pro-001:generateContent`
+So your final URL will come together as: `https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/google-vertex-ai/v1/projects/{project_name}/locations/{region}/publishers/google/models/gemini-2.5-flash:generateContent`
 
 ## Authenticating with Vertex AI
 
@@ -85,7 +85,7 @@ This option is only supported for the provider-specific endpoint, not for the un
 :::
 
 ```bash
-curl "https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/google-vertex-ai/v1/projects/{project_name}/locations/{region}/publishers/google/models/gemini-1.0-pro-001:generateContent" \
+curl "https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/google-vertex-ai/v1/projects/{project_name}/locations/{region}/publishers/google/models/gemini-2.5-flash:generateContent" \
     -H "Authorization: Bearer ya29.c.b0Aaekm1K..." \
     -H 'Content-Type: application/json' \
     -d '{
@@ -161,7 +161,7 @@ You can also use the provider-specific endpoint to access the full Vertex AI API
 ### cURL
 
 ```bash title="Example fetch request"
-curl "https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/google-vertex-ai/v1/projects/{project_name}/locations/{region}/publishers/google/models/gemini-1.0-pro-001:generateContent" \
+curl "https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/google-vertex-ai/v1/projects/{project_name}/locations/{region}/publishers/google/models/gemini-2.5-flash:generateContent" \
     -H "Authorization: Bearer {vertex_api_key}" \
     -H 'Content-Type: application/json' \
     -d '{

src/content/docs/ai-gateway/usage/websockets-api/realtime-api.mdx

@@ -68,7 +68,7 @@ ws.on("message", (message) => console.log(message.data));
 ws.send(
 	JSON.stringify({
 		setup: {
-			model: "models/gemini-2.0-flash-exp",
+			model: "models/gemini-2.5-flash",
 			generationConfig: { responseModalities: ["TEXT"] },
 		},
 	}),