Add support for ai sdk v5

CHANGELOG.md

@@ -1,5 +1,22 @@
 # Changelog
 
+## 1.0.0
+
+### Breaking Changes
+
+- **Vercel AI SDK v5 support** - This version requires `@ai-sdk/provider` v2.0.0 and `@ai-sdk/provider-utils` v3.0.1
+- Previous versions of Vercel AI SDK (v4) are no longer supported
+- Updated `ai` dev dependency to v5.0.0
+
+### Changes
+
+- Refactored `langtail-language-model.ts` for AI SDK v5 compatibility
+- Updated `convert-to-openai-chat-messages.ts` for new message format
+- Updated `map-langtail-finish-reason.ts` for v5 finish reasons
+- Updated `openai-prepare-tools.ts` for v5 tool format
+- Removed deprecated `map-openai-chat-logprobs.ts`
+- Added comprehensive test coverage for language model and message conversion
+
 ## 0.16.8
 
 - Add GoogleGeminiV1 to ReasoningFormat and update related tests

package.json

@@ -1,6 +1,6 @@
 {
   "name": "langtail",
-  "version": "0.16.8",
+  "version": "1.0.0",
   "description": "",
   "main": "./Langtail.js",
   "packageManager": "pnpm@8.15.6",
@@ -35,8 +35,9 @@
   ],
   "license": "MIT",
   "devDependencies": {
+    "@openrouter/ai-sdk-provider": "^1.2.7",
     "@types/node": "^20.12.11",
-    "ai": "^4.3.3",
+    "ai": "^5.0.0",
     "copyfiles": "^2.4.1",
     "fs-extra": "^11.2.0",
     "jsdom": "^24.1.0",
@@ -91,16 +92,16 @@
     }
   },
   "dependencies": {
-    "@ai-sdk/provider": "^1.1.1",
-    "@ai-sdk/provider-utils": "^2.2.5",
+    "@ai-sdk/provider": "2.0.0",
+    "@ai-sdk/provider-utils": "3.0.1",
     "@langtail/handlebars-evalless": "^0.1.2",
     "commander": "^12.1.0",
     "date-fns": "^3.6.0",
     "dotenv-flow": "^4.1.0",
     "json-schema-to-zod": "^2.1.0",
     "openai": "4.82.0",
     "query-string": "^7.1.3",
-    "zod": "^3.23.8"
+    "zod": "^3.25.76"
   },
   "tsup": {
     "dts": true,

playground/openrouter.ts

@@ -0,0 +1,41 @@
+import "dotenv-flow/config"
+import { stepCountIs, streamText, tool } from "ai"
+import { z } from "zod/v4"
+
+import { openrouter } from "@openrouter/ai-sdk-provider"
+
+async function main() {
+  const result = streamText({
+    model: openrouter("google/gemini-3-pro-preview"),
+    messages: [
+      {
+        role: "user",
+        content: "What is the weather in Tokyo?",
+      },
+    ],
+    stopWhen: stepCountIs(5),
+    onStepFinish: (step) => {
+      console.log(step.content)
+    },
+    tools: {
+      weather: tool({
+        description: "Get the weather in a location",
+        inputSchema: z.object({
+          location: z.string().describe("The location to get the weather for"),
+        }),
+        execute: async ({ location }) => {
+          return {
+            location,
+            temperature: 12,
+          }
+        },
+      }),
+    },
+  })
+
+  for await (const chunk of result.fullStream) {
+    console.log("chunk", chunk)
+  }
+}
+
+main()

playground/vercel.ts

@@ -1,86 +1,57 @@
-import 'dotenv-flow/config'
-import { generateText, tool, streamText } from 'ai';
-import { langtail } from '../src/vercel-ai';
-import fs from 'fs/promises';
-import { z } from 'zod';
-
+import "dotenv-flow/config"
+import { stepCountIs, streamText, tool } from "ai"
+import { langtail } from "../src/vercel-ai"
+import { z } from "zod/v4"
 
 async function main() {
-  const content = await fs.readFile('./playground/text.txt', 'utf-8');
-
-  const { text, reasoning } = await generateText({
-    model: langtail('vtip'),
+  const result = streamText({
+    model: langtail("vtip"),
     messages: [
       {
-        role: 'user',
+        role: "user",
         content: "What is the weather in Tokyo?",
       },
     ],
+    stopWhen: stepCountIs(5),
+    onStepFinish: (step) => {
+      console.log(step.content)
+    },
     tools: {
       weather: tool({
-        description: 'Get the weather in a location',
-        parameters: z.object({
-          location: z.string().describe('The location to get the weather for'),
+        description: "Get the weather in a location",
+        inputSchema: z.object({
+          location: z.string().describe("The location to get the weather for"),
         }),
-        execute: async ({ location }) => {
+        async execute({ location }) {
           return {
-            location,
-            temperature: 12,
+            type: "image",
+            data: "https://stickerapp.co.uk/cdn-assets/images/stickers/608t.png",
           }
         },
-      }),
-    },
-  });
 
-  const { text: text2, reasoning: reasoning2 } = await generateText({
-    model: langtail('vtip'),
-    providerOptions: {
-      anthropic: {
-        thinking: {
-          budgetTokens: 1025,
-          type: "enabled",
-        }
-      }
-    },
-    messages: [
-      {
-        role: 'user',
-        content: "What is the weather in Tokyo?",
-      },
-      {
-        role: 'assistant',
-        content: text,
-      },
-      {
-        role: 'user',
-        content: "What is the weather in Prague?",
-      },
-    ],
-    tools: {
-      weather: tool({
-        description: 'Get the weather in a location',
-        parameters: z.object({
-          location: z.string().describe('The location to get the weather for'),
-        }),
-        execute: async ({ location }) => {
+        // map to tool result content for LLM consumption:
+        toModelOutput(result) {
           return {
-            location,
-            temperature: 12,
+            type: "content",
+            value:
+              typeof result === "string"
+                ? [{ type: "text", text: result }]
+                : [
+                    {
+                      type: "media",
+                      data: result.data,
+                      mediaType: "image/png",
+                    },
+                  ],
           }
         },
       }),
     },
-  });
-
-  console.log(text);
-  console.log(reasoning);
-
-  console.log('--------------------------------');
-
-  console.log(text2);
-  console.log(reasoning2);
+  })
 
+  for await (const chunk of result.fullStream) {
+    console.log("chunk", chunk)
+  }
 }
 
-main();
-
+main()