add changelog

Author: elithrar

src/content/changelog/agents/2025-02-14-example-ai-prompts.md

@@ -0,0 +1,22 @@
+---
+title: Build AI Agents with Example Prompts
+description:
+products:
+  - agents
+  - workers
+  - workflows
+date: 2025-02-14T19:00:00Z
+---
+
+We've added an [example prompt](/agents/build/prompts/) to help you get started with building AI agents and applications on Cloudflare Workers.
+
+You can use this prompt with your favorite AI model, including Claude 3.5 Sonnet, OpenAI's o3-mini, Gemini 2.0 Flash, or Llama 3.3 on Workers AI. Models with large context windows will allow you to paste the prompt directly: provide your own prompt within the `<user_prompt></iser_prompt>` tags.
+
+```sh
+{paste_prompt_here}
+<user_prompt>
+user: Build an AI agent using Cloudflare Workflows. The Workflow should run when a new GitHub issue is opened on a specific project with the label 'help' or 'bug', and attempt to help the user troubleshoot the issue by calling the OpenAI API with the issue title and description, and a clear, structured prompt that asks the model to suggest 1-3 possible solutions to the issue. Any code snippets should be formatted in Markdown code blocks. Documentation and sources should be referenced at the bottom of the response. The agent should then post the response to the GitHub issue. The agent should run as the provided GitHub bot account.
+</user_prompt>
+```
+
+This prompt is still experimental, but we encourage you to try it out and [provide feedback](https://github.com/cloudflare/cloudflare-docs/issues/new?template=content.edit.yml).

src/content/docs/agents/build/prompts.md

@@ -562,9 +562,9 @@ metadata: Record<string, string>;
 };
 
 export class MyWorkflow extends WorkflowEntrypoint<Env, Params> {
-async run(event: WorkflowEvent<Params>, step: WorkflowStep) {
-// Can access bindings on `this.env`
-// Can access params on `event.payload`
+	async run(event: WorkflowEvent<Params>, step: WorkflowStep) {
+	// Can access bindings on `this.env`
+	// Can access params on `event.payload`
 
     const files = await step.do('my first step', async () => {
       // Fetch a list of files from $SOME_SERVICE
@@ -628,14 +628,22 @@ let url = new URL(req.url);
       });
     }
 
+    const data = await req.json()
+
     // Spawn a new instance and return the ID and status
-    let instance = await env.MY_WORKFLOW.create();
+    let instance = await env.MY_WORKFLOW.create({
+    	// Define an ID for the Workflow instance
+    	id: crypto.randomUUID(),
+     	// Pass data to the Workflow instance
+      // Available on the WorkflowEvent
+     	params: data,
+    });
+
     return Response.json({
       id: instance.id,
       details: await instance.status(),
     });
-
-},
+  },
 };
 </code>
 
@@ -744,46 +752,6 @@ curl "<https://api.cloudflare.com/client/v4/accounts/{account_id}/analytics_engi
 
 </code_examples>
 
-<api_patterns>
-<pattern id="websocket_coordination">
-<description>
-Fan-in/fan-out for WebSockets. Uses the Hibernatable WebSockets API within Durable Objects. Does NOT use the legacy addEventListener API.
-</description>
-<implementation>
-export class WebSocketHibernationServer extends DurableObject {
- async fetch(request: Request, env: Env, ctx: ExecutionContext) {
-  // Creates two ends of a WebSocket connection.
-  const webSocketPair = new WebSocketPair();
-  const [client, server] = Object.values(webSocketPair);
-
-    // Call this to accept the WebSocket connection.
-    // Do NOT call server.accept() (this is the legacy approach and is not preferred)
-    this.ctx.acceptWebSocket(server);
-
-    return new Response(null, {
-          status: 101,
-          webSocket: client,
-    });
-  },
-
-  async webSocketMessage(ws: WebSocket, message: string | ArrayBuffer): void | Promise<void> {
-   // Invoked on each WebSocket message.
-    ws.send(message)
-  },
-
-  async webSocketClose(ws: WebSocket, code: number, reason: string, wasClean: boolean) void | Promise<void> {
-   // Invoked when a client closes the connection.
-   ws.close(code, "<message>");
-  },
-
-  async webSocketError(ws: WebSocket, error: unknown): void | Promise<void> {
-   // Handle WebSocket errors
-  }
-}
-</implementation>
-</pattern>
-</api_patterns>
-
 <user_prompt>
 {user_prompt}
 </user_prompt>