chore: update to wrangler.jsonc (#25)

Author: andyjessop

README.md

@@ -10,13 +10,15 @@ npm install workers-ai-provider
 
 ## Usage
 
-First, setup an AI binding in `wrangler.toml` in your Workers project:
+First, setup an AI binding in the Wrangler config in your Workers project:
 
-```toml
-# ...
-[ai]
-binding = "AI"
-# ...
+```jsonc
+{
+	// ...
+	"ai": {
+		"binding": "AI"
+	}
+}
 ```
 
 Then in your Worker, import the factory function and create a new AI provider:
@@ -36,7 +38,7 @@ export default {
     // Use the AI provider to interact with the Vercel AI SDK
     // Here, we generate a chat stream based on a prompt
     const text = await streamText({
-      model: workersai("@cf/meta/llama-2-7b-chat-int8"),
+      model: workersai("@cf/meta/llama-3.3-70b-instruct-fp8-fast"),
       messages: [
         {
           role: "user",

examples/ai-chat/wrangler.jsonc

@@ -0,0 +1,14 @@
+{
+	"name": "workers-ai-chat",
+	"main": "src/server/index.ts",
+	"compatibility_date": "2024-07-31",
+	"assets": {
+		"directory": "public"
+	},
+	"build": {
+		"command": "esbuild src/client/index.tsx --outdir=public/dist --bundle --sourcemap --format=esm --splitting"
+	},
+	"ai": {
+		"binding": "AI"
+	}
+}

examples/ai-chat/wrangler.toml

@@ -0,0 +1,14 @@
+{
+	"name": "workers-ai-tool-calling",
+	"main": "src/server/index.ts",
+	"compatibility_date": "2024-07-31",
+	"assets": {
+		"directory": "public"
+	},
+	"build": {
+		"command": "esbuild src/client/index.tsx --outdir=public/dist --bundle --sourcemap --format=esm --splitting"
+	},
+	"ai": {
+		"binding": "AI"
+	}
+}