Merge pull request #216 from wussh/doc-improvements

docs: Add generateText example to workers-ai-provider and clarify supported methods

Author: threepointone

.changeset/doc-improvements.md

@@ -0,0 +1,6 @@
+---
+"workers-ai-provider": patch
+"ai-gateway-provider": patch
+---
+
+Improve documentation by adding generateText example to workers-ai-provider and clarifying supported methods in ai-gateway-provider. 

packages/ai-gateway-provider/README.md

@@ -162,7 +162,11 @@ const {text} = await generateText({
 
 ## Supported Methods
 
-Currently only chat completions (non-streaming) is supported.
+Currently, the following methods are supported:
+
+* **Non-streaming text generation**: Using `generateText()` from the Vercel AI SDK
+* **Chat completions**: Using `generateText()` with message-based prompts
+
 More can be added, please open an issue in the GitHub repository!
 
 ## Error Handling

packages/workers-ai-provider/README.md

@@ -78,6 +78,36 @@ const text = await streamText({
 });
 ```
 
+### Using generateText for Non-Streaming Responses
+
+If you prefer to get a complete text response rather than a stream, you can use the `generateText` function:
+
+```ts
+import { createWorkersAI } from "workers-ai-provider";
+import { generateText } from "ai";
+
+type Env = {
+  AI: Ai;
+};
+
+export default {
+  async fetch(req: Request, env: Env) {
+    const workersai = createWorkersAI({ binding: env.AI });
+    
+    const { text } = await generateText({
+      model: workersai("@cf/meta/llama-3.3-70b-instruct-fp8-fast"),
+      prompt: "Write a short poem about clouds",
+    });
+
+    return new Response(JSON.stringify({ generatedText: text }), {
+      headers: {
+        "Content-Type": "application/json",
+      },
+    });
+  },
+};
+```
+
 ### Using AutoRAG
 
 The provider now supports [Cloudflare's AutoRAG](https://developers.cloudflare.com/autorag/), allowing you to prompt your AutoRAG models directly from the Vercel AI SDK. Here's how to use it in your Worker: