Add asChatMessages to @modelfusion/vercel-ai.

packages/@modelfusion-vercel-ai/CHANGELOG.md

@@ -0,0 +1,7 @@
+# Changelog
+
+## v1.1.0 - 2023-12-26
+
+### Added
+
+- `asChatMessages()` to convert Vercel AI SDK `Message[]` to ModelFusion `ChatMessage[]`.

packages/@modelfusion-vercel-ai/README.md

@@ -8,15 +8,17 @@
 
 You can call `ModelFusionTextStream` with the result from [streamText](https://modelfusion.dev/guide/function/generate-text#streamtext). This stream is compatible with the Vercel AI SDK and supports the callbacks and stream data features.
 
+To convert Vercel AI SDK messages to ModelFusion messages, use the `asChatMessages` helper.
+
 ## Example: Ollama & Next.js
 
 This is an example for a Next.js app router API route. It uses the ModelFusion [Ollama](https://github.com/jmorganca/ollama) integration. For a full example app, check out the [Next.js, Vercel AI SDK, Ollama & ModelFusion starter](https://github.com/lgrammel/modelfusion-ollama-nextjs-starter).
 
 ```ts
 // app/api/chat/route.ts
-import { ModelFusionTextStream } from "@modelfusion/vercel-ai";
+import { asChatMessages, ModelFusionTextStream } from "@modelfusion/vercel-ai";
 import { Message, StreamingTextResponse } from "ai";
-import { ChatMessage, ollama, streamText } from "modelfusion";
+import { ollama, streamText } from "modelfusion";
 
 export const runtime = "edge";
 
@@ -32,10 +34,7 @@ export async function POST(req: Request) {
         "Follow the user's instructions carefully.",
 
       // map Vercel AI SDK Message to ModelFusion ChatMessage:
-      messages: messages.filter(
-        // only user and assistant roles are supported:
-        (message) => message.role === "user" || message.role === "assistant"
-      ) as ChatMessage[],
+      messages: asChatMessages(messages),
     }
   );
 

packages/@modelfusion-vercel-ai/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@modelfusion/vercel-ai",
   "description": "ModelFusion stream for Vercel AI SDK",
-  "version": "1.0.0",
+  "version": "1.1.0",
   "author": "Lars Grammel",
   "license": "MIT",
   "keywords": [
@@ -40,11 +40,12 @@
   "scripts": {
     "lint": "eslint --ext .ts src",
     "clean": "rimraf build dist .turbo node_modules",
+    "clean:build": "rimraf build dist",
     "build": "pnpm build:esm && pnpm build:cjs && pnpm build:copy-files",
     "build:esm": "tsc --outDir dist/",
     "build:cjs": "tsc --outDir build/cjs/ -p tsconfig.cjs.json && node bin/prepare-cjs.js",
-    "build:copy-files": "copyfiles --flat package.json README.md ../../LICENSE dist",
-    "dist": "pnpm clean && pnpm lint && pnpm test && pnpm build"
+    "build:copy-files": "copyfiles --flat package.json README.md CHANGELOG.md ../../LICENSE dist",
+    "dist": "pnpm clean:build && pnpm lint && pnpm build"
   },
   "dependencies": {},
   "devDependencies": {

packages/@modelfusion-vercel-ai/src/asChatMessages.ts

@@ -0,0 +1,12 @@
+import { Message } from "ai";
+import { ChatMessage } from "modelfusion";
+
+/**
+ * Convert Vercel AI SDK messages to ModelFusion ChatMessages.
+ */
+export function asChatMessages(messages: Message[]): ChatMessage[] {
+  return messages.filter(
+    // only user and assistant roles are supported:
+    (message) => message.role === "user" || message.role === "assistant"
+  ) as ChatMessage[];
+}

packages/@modelfusion-vercel-ai/src/index.ts

@@ -1 +1,2 @@
 export * from "./ModelFusionTextStream.js";
+export * from "./asChatMessages.js";