diff --git a/js/plugins/vercel-ai-sdk/.npmignore b/js/plugins/vercel-ai-sdk/.npmignore new file mode 100644 index 0000000000..8738dcd658 --- /dev/null +++ b/js/plugins/vercel-ai-sdk/.npmignore @@ -0,0 +1,3 @@ +node_modules +tsconfig.json +tsup.config.ts diff --git a/js/plugins/vercel-ai-sdk/README.md b/js/plugins/vercel-ai-sdk/README.md new file mode 100644 index 0000000000..70ef39dc63 --- /dev/null +++ b/js/plugins/vercel-ai-sdk/README.md @@ -0,0 +1,154 @@ +# @genkit-ai/vercel-ai-sdk + +Adapter helpers that connect [Genkit](https://genkit.dev) streaming flows to the [Vercel AI SDK](https://sdk.vercel.ai) UI hooks: `useChat()`, `useCompletion()`, and `useObject()`. + +Each handler returns a standard `(req: Request) => Promise` compatible with any Fetch API framework — Next.js App Router, Hono, SvelteKit, Cloudflare Workers, etc. + +## Installation + +```bash +npm install @genkit-ai/vercel-ai-sdk +``` + +**Peer dependencies:** `ai >= 6.0.0`, `genkit`, `zod` + +## Handlers + +### `chatHandler` — `useChat()` + +Wraps a flow that takes `MessagesSchema` as input and emits `StreamChunkSchema` stream chunks. + +```ts +// src/app/api/chat/route.ts +import { chatHandler } from '@genkit-ai/vercel-ai-sdk'; +import { chatFlow } from '@/genkit/chat'; + +export const POST = chatHandler(chatFlow); +``` + +```ts +// src/genkit/chat.ts +import { + FlowOutputSchema, MessagesSchema, StreamChunkSchema, + toFlowOutput, toStreamChunks, +} from '@genkit-ai/vercel-ai-sdk'; + +export const chatFlow = ai.defineFlow( + { + name: 'chat', + inputSchema: MessagesSchema, + outputSchema: FlowOutputSchema, + streamSchema: StreamChunkSchema, + }, + async (input, { sendChunk }) => { + const { stream, response } = ai.generateStream({ + messages: input.messages, + }); + for await (const chunk of stream) { + for (const c of toStreamChunks(chunk)) sendChunk(c); + } + return toFlowOutput(await response); + } +); +``` + +### `completionHandler` — `useCompletion()` + +Wraps a flow that takes `z.string()` as input and uses `StreamChunkSchema` as `streamSchema`. Supports both SSE (`'data'`) and plain text (`'text'`) stream protocols — in text mode only `{ type: 'text', delta }` chunks are forwarded; all other chunk types are skipped. + +```ts +// src/app/api/completion/route.ts +import { completionHandler } from '@genkit-ai/vercel-ai-sdk'; +import { completionFlow } from '@/genkit/completion'; + +export const POST = completionHandler(completionFlow); +// Or for streamProtocol: 'text': +// export const POST = completionHandler(completionFlow, { streamProtocol: 'text' }); +``` + +### `objectHandler` — `useObject()` + +Wraps a flow that streams raw JSON text fragments. `useObject` reassembles them into a typed partial object in real time. + +```ts +// src/app/api/notifications/route.ts +import { objectHandler } from '@genkit-ai/vercel-ai-sdk'; +import { notificationsFlow } from '@/genkit/notifications'; + +export const POST = objectHandler(notificationsFlow); +``` + +## StreamChunkSchema + +A discriminated union flows can use as `streamSchema` to drive the full UI Message Stream protocol: + +| Chunk type | Wire events emitted | +|---|---| +| `{ type: 'text', delta }` | `text-start` (lazy) + `text-delta` | +| `{ type: 'reasoning', delta }` | `reasoning-start` (lazy) + `reasoning-delta` | +| `{ type: 'tool-request', toolCallId, toolName, inputDelta? \| input? }` | `tool-input-start` + `tool-input-delta` or `tool-input-available` | +| `{ type: 'tool-result', toolCallId, output }` | `tool-output-available` | +| `{ type: 'tool-input-error', toolCallId, toolName, input, errorText }` | `tool-input-start` + `tool-input-error` | +| `{ type: 'tool-output-error', toolCallId, errorText }` | `tool-output-error` | +| `{ type: 'tool-output-denied', toolCallId }` | `tool-output-denied` | +| `{ type: 'tool-approval-request', approvalId, toolCallId }` | `tool-approval-request` | +| `{ type: 'file', url, mediaType }` | `file` | +| `{ type: 'source-url', sourceId, url, title? }` | `source-url` | +| `{ type: 'source-document', sourceId, mediaType, title, filename? }` | `source-document` | +| `{ type: 'data', id, value }` | `data-${id}` | +| `{ type: 'step-start' }` | `start-step` | +| `{ type: 'step-end' }` | `finish-step` + closes open blocks | + +In `completionHandler` with `streamProtocol: 'text'`, only `{ type: 'text', delta }` chunks are forwarded; all other chunk types are skipped. + +## Auth / Context + +All three handlers accept a `contextProvider` to extract server-side context (e.g. from auth headers) and forward it to the flow: + +```ts +export const POST = chatHandler(chatFlow, { + contextProvider: async ({ headers }) => { + const token = headers['authorization']?.slice(7); + if (!token) throw Object.assign(new Error('Unauthorized'), { status: 401 }); + return { userId: await verifyToken(token) }; + }, +}); +``` + +## Client-supplied context + +### `useChat` body passthrough + +Extra fields sent by the client via `useChat({ body: { ... } })` are forwarded to the flow as `input.body`: + +```ts +// Client +const { messages } = useChat({ api: '/api/chat', body: { sessionId: 'abc' } }); + +// Flow receives: { messages: [...], body: { sessionId: 'abc' } } +``` + +### `useCompletion` body passthrough + +Extra fields sent via `useCompletion({ body: { ... } })` are available in `contextProvider`. Place anything the flow needs into the returned context object — Genkit stores it in async-local storage so `ai.generate()` calls and tools within the flow can access it automatically: + +```ts +export const POST = completionHandler(completionFlow, { + contextProvider: async ({ headers, input }) => { + const token = headers['authorization']?.slice(7); + return { userId: await verifyToken(token), sessionId: input.sessionId }; + }, +}); +``` + +## Framework compatibility + +Handlers return a standard Fetch API `Response` and work in any runtime that supports the Web Platform APIs: + +- **Next.js** App Router (Node.js and Edge) +- **Hono**, **SvelteKit**, **Remix**, **Astro** +- **Cloudflare Workers**, **Deno**, **Bun** + +## License + +Apache 2.0 diff --git a/js/plugins/vercel-ai-sdk/package.json b/js/plugins/vercel-ai-sdk/package.json new file mode 100644 index 0000000000..632a4cfe90 --- /dev/null +++ b/js/plugins/vercel-ai-sdk/package.json @@ -0,0 +1,58 @@ +{ + "name": "@genkit-ai/vercel-ai-sdk", + "description": "Genkit adapters for the Vercel AI SDK UI hooks (useChat, useCompletion, useObject)", + "keywords": [ + "genkit", + "genkit-plugin", + "ai", + "genai", + "generative-ai", + "vercel", + "ai-sdk", + "useChat", + "useCompletion", + "useObject" + ], + "version": "1.0.0", + "type": "commonjs", + "scripts": { + "check": "tsc", + "compile": "tsup-node", + "build:clean": "rimraf ./lib", + "build": "npm-run-all build:clean check compile", + "build:watch": "tsup-node --watch", + "test": "node --import tsx --test tests/*_test.ts" + }, + "repository": { + "type": "git", + "url": "https://github.com/genkit-ai/genkit.git", + "directory": "js/plugins/vercel-ai-sdk" + }, + "author": "genkit", + "license": "Apache-2.0", + "peerDependencies": { + "ai": ">=6.0.0", + "genkit": "workspace:^", + "zod": "^3.24.1" + }, + "devDependencies": { + "@types/node": "^20.11.16", + "ai": "^6.0.156", + "genkit": "workspace:^", + "npm-run-all": "^4.1.5", + "rimraf": "^6.0.1", + "tsup": "^8.3.5", + "tsx": "^4.19.2", + "typescript": "^5.9.3", + "zod": "^3.24.1" + }, + "types": "./lib/index.d.ts", + "exports": { + ".": { + "require": "./lib/index.js", + "default": "./lib/index.js", + "import": "./lib/index.mjs", + "types": "./lib/index.d.ts" + } + } +} diff --git a/js/plugins/vercel-ai-sdk/src/chat.ts b/js/plugins/vercel-ai-sdk/src/chat.ts new file mode 100644 index 0000000000..0b2b47fba9 --- /dev/null +++ b/js/plugins/vercel-ai-sdk/src/chat.ts @@ -0,0 +1,182 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import { type ContextProvider } from 'genkit/context'; +import { toGenkitMessages, type UIMessage } from './convert.js'; +import { createSSEResponse } from './stream.js'; +import { headersToRecord, resolveStatus } from './utils.js'; + +/** + * Shape of the input `chatHandler` will pass to the flow. + * + * Kept as an **interface** (not `z.infer<>` alias) so that TypeScript + * preserves the name in error messages — a user who passes a string-input + * flow sees `'string' is not assignable to 'ChatFlowInput'` rather than a + * wall of expanded Zod generics. + */ +interface ChatFlowInput { + messages: unknown[]; + body?: Record; +} + +/** + * A Genkit flow compatible with `chatHandler`. + * + * Your flow must use: + * - `inputSchema: MessagesSchema` + * - `streamSchema: StreamChunkSchema` + * + * The `outputSchema` is unconstrained (use `FlowOutputSchema` to populate + * `finishReason` and `usage` in the finish SSE event, or omit it). + */ +export type ChatFlow = { + stream( + input?: ChatFlowInput, + opts?: any + ): { stream: AsyncIterable; output: Promise }; +}; + +/** + * Options for `chatHandler`. + * + * @typeParam Ctx - Shape of the context object returned by `contextProvider`. + * TypeScript infers this from your `contextProvider` implementation. + */ +export interface ChatHandlerOptions< + Ctx extends Record = Record, +> { + /** + * Called on unhandled errors thrown by the flow. Return a string to surface + * a message to the client; return `void` (or nothing) to use the default + * "An error occurred." message. + */ + onError?: (err: unknown) => string | void; + /** + * Extract auth/session context from the incoming request. The derived + * context is forwarded to the flow via `ActionRunOptions.context`. + * + * Throw from this function to reject the request — the HTTP status is + * derived from the error using Genkit's standard `getHttpStatus()`. + */ + contextProvider?: ContextProvider; +} + +/** + * Wraps a Genkit streaming flow and returns a Fetch API-compatible route + * handler that speaks the Vercel AI SDK + * {@link https://sdk.vercel.ai/docs/reference/ai-sdk-ui/use-chat `useChat()`} + * protocol. + * + * ## Flow contract + * + * The flow must use `MessagesSchema` as `inputSchema` and `StreamChunkSchema` + * as `streamSchema` to drive the full protocol (tools, reasoning, file output, + * source citations, step markers, custom data). + * + * The optional `body` field in `MessagesSchema` carries any extra fields the + * client sends via + * {@link https://sdk.vercel.ai/docs/reference/ai-sdk-ui/use-chat#body `useChat({ body: {...} })`}, + * accessible as `input.body`. + * + * ## Client-side tool execution + * + * When `useChat` is configured with + * {@link https://sdk.vercel.ai/docs/ai-sdk-ui/chatbot-with-tool-calling client-side tools}, + * the browser executes each tool and submits results via `addToolOutput()`. + * This triggers a new POST with the tool results already folded into the + * `messages` array as `tool-invocation` parts (`state: 'result'`). + * `chatHandler` converts these automatically to Genkit tool-response messages + * via `toGenkitMessages()`, so no special handling is required in your flow. + * + * ```ts + * // src/app/api/chat/route.ts + * export const POST = chatHandler(chatFlow, { + * contextProvider: async ({ headers }) => { + * const token = headers['authorization']?.slice(7); + * if (!token) throw Object.assign(new Error('Unauthorized'), { status: 401 }); + * return { userId: await verifyToken(token) }; + * }, + * }); + * ``` + * + * - Request: `POST` with `{ messages: UIMessage[], ...extraFields }` + * - Response: {@link https://sdk.vercel.ai/docs/ai-sdk-ui/stream-protocol#ui-message-stream-protocol UI Message Stream} (SSE) + * + * @see {@link https://sdk.vercel.ai/docs/reference/ai-sdk-ui/use-chat useChat() reference} + * @see {@link https://sdk.vercel.ai/docs/ai-sdk-ui/chatbot Chatbot guide} + */ +export function chatHandler< + Ctx extends Record = Record, +>( + flow: ChatFlow, + opts?: ChatHandlerOptions +): (req: Request) => Promise { + return async (req: Request): Promise => { + // ---- Parse & validate request body ------------------------------------ + let body: Record; + try { + body = await req.json(); + } catch { + return new Response( + JSON.stringify({ error: 'Invalid JSON in request body' }), + { status: 400, headers: { 'Content-Type': 'application/json' } } + ); + } + + if (!Array.isArray(body.messages)) { + return new Response( + JSON.stringify({ error: 'Invalid request: messages array required' }), + { status: 400, headers: { 'Content-Type': 'application/json' } } + ); + } + + const uiMessages: UIMessage[] = body.messages as UIMessage[]; + const genkitMessages = toGenkitMessages(uiMessages); + + // Extra request body fields → forwarded as input.body + const { messages: _messages, ...extraBody } = body; + const flowInput = { + messages: genkitMessages, + ...(Object.keys(extraBody).length ? { body: extraBody } : {}), + }; + + // ---- Auth context ----------------------------------------------------- + let context: Record = {}; + if (opts?.contextProvider) { + try { + context = await opts.contextProvider({ + method: 'POST', + headers: headersToRecord(req.headers), + input: flowInput, + }); + } catch (err) { + return new Response(JSON.stringify({ error: String(err) }), { + status: resolveStatus(err), + headers: { 'Content-Type': 'application/json' }, + }); + } + } + + // ---- Stream ----------------------------------------------------------- + return createSSEResponse({ + flow, + input: flowInput, + context, + request: req, + onError: opts?.onError, + }); + }; +} diff --git a/js/plugins/vercel-ai-sdk/src/completion.ts b/js/plugins/vercel-ai-sdk/src/completion.ts new file mode 100644 index 0000000000..05d30649ce --- /dev/null +++ b/js/plugins/vercel-ai-sdk/src/completion.ts @@ -0,0 +1,208 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import { createTextStreamResponse } from 'ai'; +import { type ContextProvider } from 'genkit/context'; +import { StreamChunkSchema } from './schema.js'; +import { createSSEResponse } from './stream.js'; +import { headersToRecord, resolveStatus } from './utils.js'; + +/** + * A Genkit flow compatible with `completionHandler`. + * + * Your flow must use: + * - `inputSchema: z.string()` + * - `streamSchema: StreamChunkSchema` + * + * The `outputSchema` is unconstrained (use `FlowOutputSchema` to populate + * `finishReason` and `usage` in the finish SSE event, or omit it). + */ +export type CompletionFlow = { + stream( + input?: string, + opts?: any + ): { stream: AsyncIterable; output: Promise }; +}; + +/** + * Options for `completionHandler`. + * + * @typeParam Ctx - Shape of the context object returned by `contextProvider`. + * TypeScript infers this from your `contextProvider` implementation. + */ +export interface CompletionHandlerOptions< + Ctx extends Record = Record, +> { + /** + * Called on unhandled errors thrown by the flow. Return a string to surface + * a message to the client; return `void` (or nothing) to use the default + * "An error occurred." message. + */ + onError?: (err: unknown) => string | void; + /** + * Extract auth/session context from the incoming request. + * Throw to reject the request; status is derived via `getHttpStatus()`. + */ + contextProvider?: ContextProvider; + /** + * Stream protocol to use in the response. + * + * - **`'data'`** (default) — Vercel AI SDK + * {@link https://sdk.vercel.ai/docs/ai-sdk-ui/stream-protocol#ui-message-stream-protocol UI Message Stream} + * format (SSE). Use with the default `useCompletion()` configuration. + * - **`'text'`** — Raw `text/plain` streaming. + * Use when `useCompletion` is configured with + * {@link https://sdk.vercel.ai/docs/reference/ai-sdk-ui/use-completion#streamProtocol `streamProtocol: 'text'`}. + * In this mode only `{ type: 'text', delta }` chunks are forwarded; + * other typed chunks are ignored. + */ + streamProtocol?: 'data' | 'text'; +} + +/** + * Wraps a Genkit streaming flow and returns a Fetch API-compatible route + * handler that speaks the Vercel AI SDK + * {@link https://sdk.vercel.ai/docs/reference/ai-sdk-ui/use-completion `useCompletion()`} + * protocol. + * + * The flow must accept `z.string()` as `inputSchema` and use + * `StreamChunkSchema` as `streamSchema`. In `'data'` mode all chunk types + * are forwarded; in `'text'` mode only `{ type: 'text', delta }` chunks are + * forwarded and all others are silently skipped. + * + * ## Client-supplied context + * + * Extra fields sent by the client via + * {@link https://sdk.vercel.ai/docs/reference/ai-sdk-ui/use-completion#body `useCompletion({ body: {...} })`} + * are available in `contextProvider` as `input.fieldName`. Place anything + * the flow needs (session ID, user preferences, etc.) into the returned + * context object — Genkit stores it in async-local storage so `ai.generate()` + * calls and tools within the flow can access it automatically. + * + * ```ts + * export const POST = completionHandler(completionFlow, { + * contextProvider: async ({ headers, input }) => { + * const userId = await verifyToken(headers['authorization']?.slice(7)); + * return { userId, sessionId: input.sessionId }; + * }, + * }); + * ``` + * + * ```ts + * // src/app/api/completion/route.ts (default SSE mode) + * export const POST = completionHandler(completionFlow); + * + * // src/app/api/completion/route.ts (text mode) + * export const POST = completionHandler(completionFlow, { streamProtocol: 'text' }); + * ``` + * + * - Request: `POST` with `{ prompt: string }` + * - Response: {@link https://sdk.vercel.ai/docs/ai-sdk-ui/stream-protocol#ui-message-stream-protocol UI Message Stream} (`'data'`) or `text/plain` (`'text'`) + * + * @see {@link https://sdk.vercel.ai/docs/reference/ai-sdk-ui/use-completion useCompletion() reference} + */ +export function completionHandler< + Ctx extends Record = Record, +>( + flow: CompletionFlow, + opts?: CompletionHandlerOptions +): (req: Request) => Promise { + return async (req: Request): Promise => { + // ---- Parse & validate request body ------------------------------------ + let body: Record; + try { + body = await req.json(); + } catch { + return new Response( + JSON.stringify({ error: 'Invalid JSON in request body' }), + { status: 400, headers: { 'Content-Type': 'application/json' } } + ); + } + + if (typeof body.prompt !== 'string') { + return new Response( + JSON.stringify({ error: 'Invalid request: prompt string required' }), + { status: 400, headers: { 'Content-Type': 'application/json' } } + ); + } + + const prompt = body.prompt; + + // ---- Auth context ----------------------------------------------------- + let context: Record = {}; + if (opts?.contextProvider) { + try { + context = await opts.contextProvider({ + method: 'POST', + headers: headersToRecord(req.headers), + input: body, + }); + } catch (err) { + return new Response(JSON.stringify({ error: String(err) }), { + status: resolveStatus(err), + headers: { 'Content-Type': 'application/json' }, + }); + } + } + + // ---- Text mode -------------------------------------------------------- + if (opts?.streamProtocol === 'text') { + const { readable, writable } = new TransformStream(); + const writer = writable.getWriter(); + + (async () => { + try { + const { stream } = flow.stream(prompt, { + context, + abortSignal: req.signal, + }); + for await (const chunk of stream) { + const parsed = StreamChunkSchema.safeParse(chunk); + if ( + parsed.success && + parsed.data.type === 'text' && + parsed.data.delta + ) { + await writer.write(parsed.data.delta); + } + } + } catch (err) { + const message = + (opts?.onError ? opts.onError(err) : undefined) ?? + 'An error occurred.'; + await writer.write(message); + } finally { + try { + await writer.close(); + } catch { + // Stream already closed (e.g. client aborted the request). + } + } + })(); + + return createTextStreamResponse({ textStream: readable }); + } + + // ---- SSE mode (default) ----------------------------------------------- + return createSSEResponse({ + flow, + input: prompt, + context, + request: req, + onError: opts?.onError, + }); + }; +} diff --git a/js/plugins/vercel-ai-sdk/src/convert.ts b/js/plugins/vercel-ai-sdk/src/convert.ts new file mode 100644 index 0000000000..331edc1437 --- /dev/null +++ b/js/plugins/vercel-ai-sdk/src/convert.ts @@ -0,0 +1,204 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** + * Conversion utilities: Vercel AI SDK UIMessage[] → Genkit MessageData[]. + */ + +import type { MessageData, Part } from 'genkit'; + +// --------------------------------------------------------------------------- +// Vercel AI SDK UIMessage types (vendored — no runtime dep on `ai`) +// Based on AI SDK v6.0 UIMessage format. Audit for drift when upgrading. +// +// In v6, tool parts use `dynamic-tool` (or `tool-${name}` for statically +// typed tools) with states: input-streaming, input-available, +// output-available, output-error, output-denied. Fields: `input` / `output`. +// This replaced the v4/v5 `tool-invocation` with `call`/`result` states and +// `args`/`result` fields. +// --------------------------------------------------------------------------- + +/** A single content part inside a UIMessage (AI SDK v6). */ +export interface UIMessagePart { + type: string; + text?: string; + [key: string]: unknown; +} + +/** + * A tool part inside an assistant UIMessage (AI SDK v6). + * Covers both `dynamic-tool` and `tool-${name}` part types. + */ +interface ToolPart { + type: string; // 'dynamic-tool' or 'tool-${name}' + toolCallId: string; + toolName?: string; // present on dynamic-tool; derived from type on static + state: + | 'input-streaming' + | 'input-available' + | 'output-available' + | 'output-error' + | 'output-denied'; + input?: unknown; + output?: unknown; +} + +/** A file/image attachment part inside a user UIMessage. */ +interface FilePart { + type: 'file'; + url: string; // data: URI or https: URL + mediaType?: string; // MIME type + filename?: string; +} + +/** + * A message in the Vercel AI SDK UIMessage format, as sent by `useChat()`. + * https://ai-sdk.dev/docs/reference/ai-sdk-ui/use-chat + */ +export interface UIMessage { + id: string; + role: 'user' | 'assistant' | 'system'; + parts: UIMessagePart[]; + /** @deprecated Legacy flat content field — prefer `parts`. */ + content?: string; +} + +// --------------------------------------------------------------------------- +// Conversion +// --------------------------------------------------------------------------- + +/** + * Convert a Vercel AI SDK `UIMessage[]` (as sent by `useChat()`) to Genkit + * `MessageData[]` for use as the `messages` parameter of `generateStream()`. + * + * Handles: + * - `text` parts → text part + * - `file` / image attachment parts → media part + * - `dynamic-tool` / `tool-${name}` parts in assistant messages: + * - state `input-available` / `input-streaming` → appended as `toolRequest` to the model message + * - state `output-available` → model message with `toolRequest` + separate `tool` message with `toolResponse` + * - `system` role → passed through as-is + * - Legacy flat `content` string → treated as a single text part + */ +export function toGenkitMessages(messages: UIMessage[]): MessageData[] { + const result: MessageData[] = []; + + for (const msg of messages) { + switch (msg.role) { + case 'system': + result.push({ role: 'system', content: extractParts(msg) }); + break; + + case 'user': + result.push({ role: 'user', content: extractParts(msg) }); + break; + + case 'assistant': { + // Collect all content parts for the model message. + // Tool parts with state=output-available also generate a separate tool message. + const modelParts: Part[] = []; + const toolMessages: MessageData[] = []; + + for (const part of msg.parts ?? []) { + if (part.type === 'text' && typeof part.text === 'string') { + modelParts.push({ text: part.text }); + } else if (isToolPart(part)) { + const tp = part as unknown as ToolPart; + const toolName = tp.toolName ?? tp.type.replace(/^tool-/, ''); + modelParts.push({ + toolRequest: { + ref: tp.toolCallId, + name: toolName, + input: tp.input, + }, + }); + if (tp.state === 'output-available') { + toolMessages.push({ + role: 'tool', + content: [ + { + toolResponse: { + ref: tp.toolCallId, + name: toolName, + output: tp.output, + }, + }, + ], + }); + } + } + // Other part types (reasoning, step-start, etc.) are not forwarded + // to the model — they're output-only artifacts. + } + + // Fall back to legacy flat content string if parts is empty. + const legacyContent = (msg as { content?: string }).content; + if (modelParts.length === 0 && legacyContent) { + modelParts.push({ text: legacyContent }); + } + + if (modelParts.length > 0) { + result.push({ role: 'model', content: modelParts }); + } + result.push(...toolMessages); + break; + } + } + } + + return result; +} + +// --------------------------------------------------------------------------- +// Helpers +// --------------------------------------------------------------------------- + +/** + * Returns true for AI SDK v6 tool parts: `dynamic-tool` or `tool-${name}`. + * Static tool parts have the format `tool-${toolName}` (never just `tool`). + */ +function isToolPart(part: UIMessagePart): boolean { + return ( + part.type === 'dynamic-tool' || + (part.type.startsWith('tool-') && 'toolCallId' in part) + ); +} + +/** Extract Genkit parts from the text and file parts of a UIMessage. */ +function extractParts(msg: UIMessage): Part[] { + const parts: Part[] = []; + + if (msg.parts?.length) { + for (const part of msg.parts) { + if (part.type === 'text' && typeof part.text === 'string') { + parts.push({ text: part.text }); + } else if (part.type === 'file') { + const fp = part as unknown as FilePart; + parts.push({ + media: { url: fp.url, contentType: fp.mediaType }, + }); + } + } + } + + // Fall back to legacy flat content string. + const legacyContent = (msg as { content?: string }).content; + if (parts.length === 0 && legacyContent) { + parts.push({ text: legacyContent }); + } + + return parts; +} diff --git a/js/plugins/vercel-ai-sdk/src/generate.ts b/js/plugins/vercel-ai-sdk/src/generate.ts new file mode 100644 index 0000000000..e721a1f955 --- /dev/null +++ b/js/plugins/vercel-ai-sdk/src/generate.ts @@ -0,0 +1,99 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import type { GenerateResponse, GenerateResponseChunk } from 'genkit'; +import type { FlowOutput, StreamChunk } from './schema.js'; + +/** + * Converts a Genkit {@link https://genkit.dev/docs/models GenerateResponseChunk} + * into an array of {@link StreamChunk} values ready to pass to `sendChunk()` in + * a flow that uses `StreamChunkSchema` as its `streamSchema`. + * + * Handles text deltas, reasoning/thinking deltas, media parts, and + * tool-request parts. Returns an empty array for chunks that carry none of + * these (e.g. pure metadata chunks). + * + * ```ts + * import { toStreamChunks } from '@genkit-ai/vercel-ai-sdk'; + * + * const chatFlow = ai.defineFlow( + * { name: 'chat', inputSchema: MessagesSchema, streamSchema: StreamChunkSchema }, + * async (input, { sendChunk }) => { + * const { stream, response } = ai.generateStream({ ... }); + * for await (const chunk of stream) { + * for (const c of toStreamChunks(chunk)) sendChunk(c); + * } + * return toFlowOutput(await response); + * } + * ); + * ``` + * + * @see {@link https://sdk.vercel.ai/docs/ai-sdk-ui/stream-protocol#ui-message-stream-protocol UI Message Stream protocol} + */ +export function toStreamChunks(chunk: GenerateResponseChunk): StreamChunk[] { + const chunks: StreamChunk[] = []; + + if (chunk.reasoning) { + chunks.push({ type: 'reasoning', delta: chunk.reasoning }); + } + + if (chunk.text) { + chunks.push({ type: 'text', delta: chunk.text }); + } + + for (const part of chunk.content) { + if ('media' in part && part.media?.url) { + chunks.push({ + type: 'file', + url: part.media.url, + mediaType: part.media.contentType ?? 'application/octet-stream', + }); + } else if ('toolRequest' in part && part.toolRequest) { + const { ref, name, input } = part.toolRequest; + chunks.push({ + type: 'tool-request', + toolCallId: ref ?? name, + toolName: name, + input, + }); + } + } + + return chunks; +} + +/** + * Extracts {@link FlowOutput} from a Genkit {@link GenerateResponse}, ready + * to return from a flow that uses `FlowOutputSchema` as its `outputSchema`. + * + * Surfaces `finishReason` and `usage` so `chatHandler` and + * `completionHandler` can populate the + * {@link https://sdk.vercel.ai/docs/ai-sdk-ui/stream-protocol#finish-chunk `finish`} + * SSE event. + * + * ```ts + * return toFlowOutput(await response); + * // equivalent to: + * // const res = await response; + * // return { finishReason: res.finishReason, usage: res.usage }; + * ``` + */ +export function toFlowOutput(response: GenerateResponse): FlowOutput { + return { + finishReason: response.finishReason ?? undefined, + usage: response.usage as Record, + }; +} diff --git a/js/plugins/vercel-ai-sdk/src/index.ts b/js/plugins/vercel-ai-sdk/src/index.ts new file mode 100644 index 0000000000..e0bca096df --- /dev/null +++ b/js/plugins/vercel-ai-sdk/src/index.ts @@ -0,0 +1,47 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** + * @genkit-ai/vercel-ai-sdk + * + * Adapter helpers that make Genkit flows work as backends for the Vercel AI + * SDK UI hooks: `useChat()`, `useCompletion()`, and `useObject()`. + * + * Each handler returns a standard `(req: Request) => Promise` that + * can be dropped into any framework that follows the Fetch API conventions — + * Next.js App Router, Hono, SvelteKit, etc. + */ + +export { chatHandler, type ChatHandlerOptions } from './chat.js'; +export { + completionHandler, + type CompletionHandlerOptions, +} from './completion.js'; +export { + toGenkitMessages, + type UIMessage, + type UIMessagePart, +} from './convert.js'; +export { toFlowOutput, toStreamChunks } from './generate.js'; +export { objectHandler, type ObjectHandlerOptions } from './object.js'; +export { + FlowOutputSchema, + MessagesSchema, + StreamChunkSchema, + type FlowOutput, + type Messages, + type StreamChunk, +} from './schema.js'; diff --git a/js/plugins/vercel-ai-sdk/src/object.ts b/js/plugins/vercel-ai-sdk/src/object.ts new file mode 100644 index 0000000000..a8ed2703a4 --- /dev/null +++ b/js/plugins/vercel-ai-sdk/src/object.ts @@ -0,0 +1,168 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import { type ContextProvider } from 'genkit/context'; +import { headersToRecord, resolveStatus } from './utils.js'; + +/** + * A Genkit flow compatible with `objectHandler`. + * + * Your flow must use `streamSchema: z.string()` — each chunk emitted via + * `sendChunk` should be a fragment of the JSON string being produced. + * The `inputSchema` is unconstrained (any JSON body is accepted). + */ +export type ObjectFlow = { + stream( + input?: any, + opts?: any + ): { stream: AsyncIterable; output: Promise }; +}; + +/** + * Options for `objectHandler`. + * + * @typeParam Ctx - Shape of the context object returned by `contextProvider`. + * TypeScript infers this from your `contextProvider` implementation. + */ +export interface ObjectHandlerOptions< + Ctx extends Record = Record, +> { + /** + * Called on mid-stream error for logging/reporting. The stream is closed + * immediately after — unlike `chatHandler`, any return value is ignored + * because appending text to a partial JSON stream would corrupt it. + */ + onError?: (err: unknown) => string | void; + /** + * Extract auth/session context from the incoming request. + * Throw to reject the request before the stream opens; status is derived + * via `getHttpStatus()`. Mid-stream errors cannot be cleanly signaled due + * to the `useObject()` protocol using raw text/plain — this is a protocol + * constraint, not a Genkit limitation. + */ + contextProvider?: ContextProvider; +} + +/** + * Wraps a Genkit streaming flow and returns a Fetch API-compatible route + * handler that speaks the Vercel AI SDK + * {@link https://sdk.vercel.ai/docs/reference/ai-sdk-ui/use-object `useObject()`} + * protocol. + * + * The flow must have `streamSchema: z.string()` — each chunk emitted via + * `streamingCallback` should be a fragment of the JSON string being produced. + * The flow's `outputSchema` should describe the full object shape for + * client-side type safety with + * {@link https://sdk.vercel.ai/docs/reference/ai-sdk-ui/use-object#schema `useObject({ schema })`}. + * + * Unlike `chatHandler` and `completionHandler`, the response is raw + * `text/plain` streaming partial JSON. `useObject()` reassembles fragments + * incrementally — each chunk does not need to be valid JSON on its own. + * + * Note: mid-stream errors cannot be surfaced to the client via a dedicated + * error channel — this is a + * {@link https://sdk.vercel.ai/docs/ai-sdk-ui/stream-protocol protocol constraint} + * of the `useObject()` text stream format. Pre-stream errors (auth failures, + * bad input) still return a non-2xx HTTP status. + * + * ```ts + * // src/app/api/notifications/route.ts + * export const POST = objectHandler(notificationsFlow); + * ``` + * + * - Request: `POST` with any JSON body (passed verbatim as flow input) + * - Response: `text/plain` streaming partial JSON + * + * @see {@link https://sdk.vercel.ai/docs/reference/ai-sdk-ui/use-object useObject() reference} + * @see {@link https://sdk.vercel.ai/docs/ai-sdk-ui/object-generation Object generation guide} + */ +export function objectHandler< + Ctx extends Record = Record, +>( + flow: ObjectFlow, + opts?: ObjectHandlerOptions +): (req: Request) => Promise { + return async (req: Request): Promise => { + // ---- Parse request body ----------------------------------------------- + let input: unknown; + try { + input = await req.json(); + } catch { + return new Response( + JSON.stringify({ error: 'Invalid JSON in request body' }), + { status: 400, headers: { 'Content-Type': 'application/json' } } + ); + } + + // ---- Auth context ----------------------------------------------------- + let context: Record = {}; + if (opts?.contextProvider) { + try { + context = await opts.contextProvider({ + method: 'POST', + headers: headersToRecord(req.headers), + input, + }); + } catch (err) { + return new Response(JSON.stringify({ error: String(err) }), { + status: resolveStatus(err), + headers: { 'Content-Type': 'application/json' }, + }); + } + } + + // ---- Stream ----------------------------------------------------------- + const encoder = new TextEncoder(); + const { readable, writable } = new TransformStream< + Uint8Array, + Uint8Array + >(); + const writer = writable.getWriter(); + + (async () => { + try { + const { stream } = flow.stream(input, { + context, + abortSignal: req.signal, + }); + + for await (const chunk of stream) { + if (chunk) { + await writer.write(encoder.encode(String(chunk))); + } + } + } catch (err) { + // Do not write to the stream — any appended text would corrupt the + // partial JSON already sent. Close the stream so useObject fires onError. + opts?.onError?.(err); + } finally { + try { + await writer.close(); + } catch { + // Stream already closed (e.g. client aborted the request). + } + } + })(); + + return new Response(readable, { + status: 200, + headers: { + 'Content-Type': 'text/plain; charset=utf-8', + 'Cache-Control': 'no-cache', + }, + }); + }; +} diff --git a/js/plugins/vercel-ai-sdk/src/schema.ts b/js/plugins/vercel-ai-sdk/src/schema.ts new file mode 100644 index 0000000000..0697106c15 --- /dev/null +++ b/js/plugins/vercel-ai-sdk/src/schema.ts @@ -0,0 +1,260 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import { MessageSchema, z } from 'genkit/beta'; + +// --------------------------------------------------------------------------- +// StreamChunkSchema +// --------------------------------------------------------------------------- + +/** + * Discriminated union of all chunk types a flow can emit via + * `streamingCallback` to drive the full Vercel AI SDK + * {@link https://sdk.vercel.ai/docs/ai-sdk-ui/stream-protocol#ui-message-stream-protocol UI Message Stream} + * protocol. Use this as `streamSchema` in `ai.defineFlow(...)`. + * + * Each variant maps to one or more wire events understood by + * {@link https://sdk.vercel.ai/docs/reference/ai-sdk-ui/use-chat `useChat()`} and + * {@link https://sdk.vercel.ai/docs/reference/ai-sdk-ui/use-completion `useCompletion()`}. + * + * ```ts + * import { StreamChunkSchema } from '@genkit-ai/vercel-ai-sdk'; + * + * const chatFlow = ai.defineFlow( + * { name: 'chat', inputSchema: MessagesSchema, streamSchema: StreamChunkSchema }, + * async (input, sc) => { + * const { stream, response } = ai.generateStream({ messages: input.messages }); + * for await (const chunk of stream) { + * if (chunk.text) sc({ type: 'text', delta: chunk.text }); + * for (const tr of chunk.toolRequests) { + * sc({ type: 'tool-request', toolCallId: tr.toolRequest.ref ?? tr.toolRequest.name, + * toolName: tr.toolRequest.name, input: tr.toolRequest.input }); + * } + * } + * return (await response).text; + * } + * ); + * ``` + */ +export const StreamChunkSchema = z.discriminatedUnion('type', [ + /** A text delta — maps to `text-start` (lazy) + `text-delta` wire events. */ + z.object({ + type: z.literal('text'), + delta: z.string(), + }), + + /** + * A reasoning/thinking delta — maps to `reasoning-start` (lazy) + + * `reasoning-delta` wire events. + * @see {@link https://sdk.vercel.ai/docs/ai-sdk-ui/chatbot#reasoning Reasoning guide} + */ + z.object({ + type: z.literal('reasoning'), + delta: z.string(), + }), + + /** + * A tool invocation. Supply either `inputDelta` (streaming partial JSON + * input) or `input` (full input object) — not both. + * + * - `inputDelta` → `tool-input-start` (first time) + `tool-input-delta` + * - `input` → `tool-input-start` (if not already open) + `tool-input-available` + * + * @see {@link https://sdk.vercel.ai/docs/ai-sdk-ui/chatbot-with-tool-calling Tool calling guide} + */ + z.object({ + type: z.literal('tool-request'), + toolCallId: z.string(), + toolName: z.string(), + inputDelta: z.string().optional(), + input: z.unknown().optional(), + }), + + /** + * A tool result — maps to `tool-output-available`. + * @see {@link https://sdk.vercel.ai/docs/ai-sdk-ui/chatbot-with-tool-calling Tool calling guide} + */ + z.object({ + type: z.literal('tool-result'), + toolCallId: z.string(), + output: z.unknown(), + }), + + /** + * A tool input parsing error — maps to `tool-input-error`. + * Emitted when a tool's input fails validation or parsing. + * @see {@link https://sdk.vercel.ai/docs/ai-sdk-ui/chatbot-with-tool-calling Tool calling guide} + */ + z.object({ + type: z.literal('tool-input-error'), + toolCallId: z.string(), + toolName: z.string(), + input: z.unknown(), + errorText: z.string(), + }), + + /** + * A tool execution error — maps to `tool-output-error`. + * Emitted when a tool call fails during execution. + * @see {@link https://sdk.vercel.ai/docs/ai-sdk-ui/chatbot-with-tool-calling Tool calling guide} + */ + z.object({ + type: z.literal('tool-output-error'), + toolCallId: z.string(), + errorText: z.string(), + }), + + /** + * A tool output denied — maps to `tool-output-denied`. + * Emitted when a tool's output is blocked or denied. + * @see {@link https://sdk.vercel.ai/docs/ai-sdk-ui/chatbot-with-tool-calling Tool calling guide} + */ + z.object({ + type: z.literal('tool-output-denied'), + toolCallId: z.string(), + }), + + /** + * A tool approval request — maps to `tool-approval-request`. + * Emitted to request human-in-the-loop approval before executing a tool. + * @see {@link https://sdk.vercel.ai/docs/ai-sdk-ui/chatbot-with-tool-calling Tool calling guide} + */ + z.object({ + type: z.literal('tool-approval-request'), + approvalId: z.string(), + toolCallId: z.string(), + }), + + /** + * Arbitrary custom data — maps to a `data-${id}` wire event. + * Accessible on the client via the `onData` callback in `useChat`. + * @see {@link https://sdk.vercel.ai/docs/ai-sdk-ui/stream-protocol#ui-message-stream-protocol UI Message Stream protocol} + */ + z.object({ + type: z.literal('data'), + id: z.string(), + value: z.unknown(), + }), + + /** + * A file or image to surface in the chat UI — maps to a `file` wire event. + * Note: the AI SDK wire format does not support a filename field. + * @see {@link https://sdk.vercel.ai/docs/ai-sdk-ui/chatbot#file-attachments File attachments} + */ + z.object({ + type: z.literal('file'), + url: z.string(), + mediaType: z.string(), + }), + + /** + * A web source citation — maps to a `source-url` wire event. + * Renders as a clickable source card alongside the response. + * @see {@link https://sdk.vercel.ai/docs/ai-sdk-ui/chatbot#sources Sources} + */ + z.object({ + type: z.literal('source-url'), + sourceId: z.string(), + url: z.string(), + title: z.string().optional(), + }), + + /** + * A document source citation — maps to a `source-document` wire event. + * Use for RAG responses where the source is a local/retrieved document + * rather than a live web URL. + * @see {@link https://sdk.vercel.ai/docs/ai-sdk-ui/chatbot#sources Sources} + */ + z.object({ + type: z.literal('source-document'), + sourceId: z.string(), + mediaType: z.string(), + title: z.string(), + filename: z.string().optional(), + }), + + /** + * Begin a logical step (e.g. one LLM call in a multi-step agent loop). + * @see {@link https://sdk.vercel.ai/docs/ai-sdk-ui/chatbot#multi-step-generation Multi-step generation} + */ + z.object({ type: z.literal('step-start') }), + + /** + * End the current logical step. Closes any open text/reasoning blocks. + * @see {@link https://sdk.vercel.ai/docs/ai-sdk-ui/chatbot#multi-step-generation Multi-step generation} + */ + z.object({ type: z.literal('step-end') }), +]); + +export type StreamChunk = z.infer; + +// --------------------------------------------------------------------------- +// MessagesSchema (extended) +// --------------------------------------------------------------------------- + +/** + * Zod schema for the multi-turn chat input accepted by `chatHandler()`. + * Use this as the `inputSchema` of your chat flow. + * + * Uses Genkit's own `MessageSchema` directly, so `input.messages` can be + * passed straight to `ai.generateStream({ messages: input.messages })` + * without type casts. + * + * The optional `body` field carries any extra fields the client sends via + * {@link https://sdk.vercel.ai/docs/reference/ai-sdk-ui/use-chat#body `useChat({ body: {...} })`}, + * so flows can access per-request metadata (e.g. a session ID, selected + * persona, or RAG filter) via `input.body`. + * + * @see {@link https://sdk.vercel.ai/docs/reference/ai-sdk-ui/use-chat useChat() reference} + */ +export const MessagesSchema = z.object({ + messages: z.array(MessageSchema), + /** Extra fields sent by the client via useChat({ body: {...} }). */ + body: z.record(z.unknown()).optional(), +}); + +export type Messages = z.infer; + +// --------------------------------------------------------------------------- +// FlowOutputSchema +// --------------------------------------------------------------------------- + +/** + * Optional structured output schema for chat and completion flows. When a + * flow returns a value matching this shape, `chatHandler` and + * `completionHandler` will populate the + * {@link https://sdk.vercel.ai/docs/ai-sdk-ui/stream-protocol#finish-chunk `finish`} + * SSE event with `finishReason` and `usage`. + * + * ```ts + * const chatFlow = ai.defineFlow( + * { name: 'chat', inputSchema: MessagesSchema, + * streamSchema: StreamChunkSchema, outputSchema: FlowOutputSchema }, + * async (input, sc) => { + * const { stream, response } = ai.generateStream({ ... }); + * for await (const chunk of stream) { ... } + * const res = await response; + * return { finishReason: res.finishReason, usage: res.usage }; + * } + * ); + * ``` + */ +export const FlowOutputSchema = z.object({ + finishReason: z.string().optional(), + usage: z.record(z.unknown()).optional(), +}); + +export type FlowOutput = z.infer; diff --git a/js/plugins/vercel-ai-sdk/src/stream.ts b/js/plugins/vercel-ai-sdk/src/stream.ts new file mode 100644 index 0000000000..e871f3a756 --- /dev/null +++ b/js/plugins/vercel-ai-sdk/src/stream.ts @@ -0,0 +1,368 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** + * SSE streaming layer: maps {@link StreamChunk} values to + * `UIMessageStreamWriter.write()` calls and orchestrates the full + * SSE response lifecycle (start → chunks → finish/abort). + */ + +import { + createUIMessageStream, + createUIMessageStreamResponse, + type UIMessageStreamWriter, +} from 'ai'; +import { + FlowOutputSchema, + StreamChunkSchema, + type StreamChunk, +} from './schema.js'; +import { normalizeFinishReason } from './utils.js'; + +// --------------------------------------------------------------------------- +// Dispatch state +// --------------------------------------------------------------------------- + +interface DispatchState { + openTextId: string | null; + openReasoningId: string | null; + /** Tool call IDs for which tool-input-start has been written. */ + openToolCallIds: Set; +} + +function createDispatchState(): DispatchState { + return { + openTextId: null, + openReasoningId: null, + openToolCallIds: new Set(), + }; +} + +// --------------------------------------------------------------------------- +// Chunk dispatch +// --------------------------------------------------------------------------- + +/** + * Dispatch a single `StreamChunk` from a flow's stream to the AI SDK + * `UIMessageStreamWriter`. Unknown shapes are silently dropped. + */ +function dispatchChunk( + writer: UIMessageStreamWriter, + rawChunk: unknown, + state: DispatchState +): void { + const parsed = StreamChunkSchema.safeParse(rawChunk); + if (!parsed.success) return; + const chunk: StreamChunk = parsed.data; + + switch (chunk.type) { + case 'text': { + if (!chunk.delta) return; + ensureTextOpen(writer, state); + writer.write({ + type: 'text-delta', + id: state.openTextId!, + delta: chunk.delta, + }); + break; + } + + case 'reasoning': { + if (!chunk.delta) return; + closeTextBlock(writer, state); + ensureReasoningOpen(writer, state); + writer.write({ + type: 'reasoning-delta', + id: state.openReasoningId!, + delta: chunk.delta, + }); + break; + } + + case 'tool-request': { + closeTextBlock(writer, state); + closeReasoningBlock(writer, state); + const { toolCallId, toolName } = chunk; + if (!state.openToolCallIds.has(toolCallId)) { + state.openToolCallIds.add(toolCallId); + writer.write({ type: 'tool-input-start', toolCallId, toolName }); + } + if (chunk.inputDelta !== undefined) { + writer.write({ + type: 'tool-input-delta', + toolCallId, + inputTextDelta: chunk.inputDelta, + }); + } else if (chunk.input !== undefined) { + writer.write({ + type: 'tool-input-available', + toolCallId, + toolName, + input: chunk.input, + }); + state.openToolCallIds.delete(toolCallId); + } + break; + } + + case 'tool-result': { + writer.write({ + type: 'tool-output-available', + toolCallId: chunk.toolCallId, + output: chunk.output, + }); + break; + } + + case 'tool-input-error': { + closeTextBlock(writer, state); + closeReasoningBlock(writer, state); + const { toolCallId, toolName } = chunk; + if (!state.openToolCallIds.has(toolCallId)) { + state.openToolCallIds.add(toolCallId); + writer.write({ type: 'tool-input-start', toolCallId, toolName }); + } + writer.write({ + type: 'tool-input-error', + toolCallId, + toolName, + input: chunk.input, + errorText: chunk.errorText, + }); + state.openToolCallIds.delete(toolCallId); + break; + } + + case 'tool-output-error': { + writer.write({ + type: 'tool-output-error', + toolCallId: chunk.toolCallId, + errorText: chunk.errorText, + }); + break; + } + + case 'tool-output-denied': { + writer.write({ + type: 'tool-output-denied', + toolCallId: chunk.toolCallId, + }); + break; + } + + case 'tool-approval-request': { + writer.write({ + type: 'tool-approval-request', + approvalId: chunk.approvalId, + toolCallId: chunk.toolCallId, + }); + break; + } + + case 'file': { + writer.write({ + type: 'file', + url: chunk.url, + mediaType: chunk.mediaType, + }); + break; + } + + case 'source-url': { + writer.write({ + type: 'source-url', + sourceId: chunk.sourceId, + url: chunk.url, + ...(chunk.title ? { title: chunk.title } : {}), + }); + break; + } + + case 'source-document': { + writer.write({ + type: 'source-document', + sourceId: chunk.sourceId, + mediaType: chunk.mediaType, + title: chunk.title, + ...(chunk.filename ? { filename: chunk.filename } : {}), + }); + break; + } + + case 'data': { + // The AI SDK writer types `data-*` events via `z.custom<\`data-${string}\`>()`, + // which TypeScript cannot express as a literal template type on the write() overload. + // The cast is safe: any `data-${string}` value is accepted at runtime. + writer.write({ + type: `data-${chunk.id}` as `data-${string}`, + data: chunk.value, + }); + break; + } + + case 'step-start': { + closeTextBlock(writer, state); + closeReasoningBlock(writer, state); + writer.write({ type: 'start-step' }); + break; + } + + case 'step-end': { + closeOpenBlocks(writer, state); + writer.write({ type: 'finish-step' }); + break; + } + } +} + +// --------------------------------------------------------------------------- +// Block state helpers +// --------------------------------------------------------------------------- + +function closeOpenBlocks( + writer: UIMessageStreamWriter, + state: DispatchState +): void { + closeTextBlock(writer, state); + closeReasoningBlock(writer, state); +} + +function ensureTextOpen( + writer: UIMessageStreamWriter, + state: DispatchState +): void { + closeReasoningBlock(writer, state); + if (!state.openTextId) { + state.openTextId = globalThis.crypto.randomUUID(); + writer.write({ type: 'text-start', id: state.openTextId }); + } +} + +function ensureReasoningOpen( + writer: UIMessageStreamWriter, + state: DispatchState +): void { + if (!state.openReasoningId) { + state.openReasoningId = globalThis.crypto.randomUUID(); + writer.write({ type: 'reasoning-start', id: state.openReasoningId }); + } +} + +function closeTextBlock( + writer: UIMessageStreamWriter, + state: DispatchState +): void { + if (state.openTextId) { + writer.write({ type: 'text-end', id: state.openTextId }); + state.openTextId = null; + } +} + +function closeReasoningBlock( + writer: UIMessageStreamWriter, + state: DispatchState +): void { + if (state.openReasoningId) { + writer.write({ type: 'reasoning-end', id: state.openReasoningId }); + state.openReasoningId = null; + } +} + +// --------------------------------------------------------------------------- +// SSE response factory +// --------------------------------------------------------------------------- + +/** Options for {@link createSSEResponse}. */ +export interface SSEStreamOptions { + /** The flow to stream from. */ + flow: { + stream( + input: any, + opts: any + ): { stream: AsyncIterable; output: Promise }; + }; + /** Input to pass to `flow.stream()`. */ + input: unknown; + /** Context from `contextProvider`. */ + context: Record; + /** The incoming request (provides `signal` for abort). */ + request: Request; + /** Optional error handler; return a string for the client or void for the default. */ + onError?: (err: unknown) => string | void; +} + +/** + * Creates a Fetch API `Response` that streams UI Message Stream SSE events + * from a Genkit flow. Used by both `chatHandler` and `completionHandler`. + * + * Emits: + * - `start` — opens the message + * - chunk events via `dispatchChunk` (text, reasoning, tools, files, etc.) + * - `finish` — includes `finishReason` and `usage` when available + * + * If the flow's stream throws an `AbortError` (from `req.signal`), an `abort` + * event is emitted instead of an error. + */ +export function createSSEResponse(opts: SSEStreamOptions): Response { + const stream = createUIMessageStream({ + execute: async ({ writer }) => { + writer.write({ type: 'start' }); + + const { stream: chunkStream, output } = opts.flow.stream(opts.input, { + context: opts.context, + abortSignal: opts.request.signal, + }); + + const state = createDispatchState(); + try { + for await (const chunk of chunkStream) { + dispatchChunk(writer, chunk, state); + } + } catch (err) { + closeOpenBlocks(writer, state); + if (isAbortError(err)) { + writer.write({ type: 'abort' }); + return; + } + throw err; + } + closeOpenBlocks(writer, state); + + const finalOutput = await output.catch(() => undefined); + const parsed = FlowOutputSchema.safeParse(finalOutput); + if (parsed.success) { + const finishReason = normalizeFinishReason(parsed.data.finishReason); + const usage = parsed.data.usage; + writer.write({ + type: 'finish', + ...(finishReason ? { finishReason } : {}), + ...(usage ? { messageMetadata: { usage } } : {}), + }); + } else { + writer.write({ type: 'finish' }); + } + }, + onError: opts.onError + ? (err: unknown) => opts.onError!(err) ?? 'An error occurred.' + : undefined, + }); + + return createUIMessageStreamResponse({ stream }); +} + +function isAbortError(err: unknown): boolean { + return err instanceof DOMException && err.name === 'AbortError'; +} diff --git a/js/plugins/vercel-ai-sdk/src/utils.ts b/js/plugins/vercel-ai-sdk/src/utils.ts new file mode 100644 index 0000000000..ce0ed207eb --- /dev/null +++ b/js/plugins/vercel-ai-sdk/src/utils.ts @@ -0,0 +1,67 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import type { FinishReason } from 'ai'; +import { getHttpStatus } from 'genkit/context'; + +// --------------------------------------------------------------------------- +// HTTP helpers +// --------------------------------------------------------------------------- + +/** Convert a Fetch API `Headers` object to a plain `Record`. */ +export function headersToRecord(headers: Headers): Record { + const out: Record = {}; + headers.forEach((value, key) => { + out[key] = value; + }); + return out; +} + +/** + * `getHttpStatus` only handles `GenkitError`; also accept plain + * `{ status: number }` errors (e.g. from custom context providers). + */ +export function resolveStatus(err: unknown): number { + const s = getHttpStatus(err); + if (s !== 500) return s; + const plain = (err as any)?.status; + return typeof plain === 'number' && plain >= 100 && plain < 600 ? plain : 500; +} + +// --------------------------------------------------------------------------- +// Finish reason normalisation +// --------------------------------------------------------------------------- + +const VALID_FINISH_REASONS: readonly FinishReason[] = [ + 'stop', + 'length', + 'content-filter', + 'tool-calls', + 'error', + 'other', +]; + +/** Map an arbitrary Genkit `finishReason` string to a known AI SDK value, or `undefined`. */ +export function normalizeFinishReason( + reason: string | undefined +): FinishReason | undefined { + if (reason == null) return undefined; + if ((VALID_FINISH_REASONS as string[]).includes(reason)) + return reason as FinishReason; + if (reason === 'blocked') return 'content-filter'; + if (reason === 'unknown') return 'other'; + return undefined; +} diff --git a/js/plugins/vercel-ai-sdk/tests/chat_test.ts b/js/plugins/vercel-ai-sdk/tests/chat_test.ts new file mode 100644 index 0000000000..46af284fac --- /dev/null +++ b/js/plugins/vercel-ai-sdk/tests/chat_test.ts @@ -0,0 +1,681 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import assert from 'node:assert'; +import { describe, it } from 'node:test'; +import { chatHandler } from '../src/chat.js'; +import { type UIMessage } from '../src/convert.js'; +import { type StreamChunk } from '../src/schema.js'; + +// --------------------------------------------------------------------------- +// Helpers +// --------------------------------------------------------------------------- + +function fakeFlow(chunks: (string | StreamChunk)[], finalOutput?: unknown) { + return { + stream(_input: unknown, _opts?: unknown) { + return { + stream: (async function* () { + for (const c of chunks) yield c; + })(), + output: Promise.resolve(finalOutput ?? ''), + }; + }, + } as any; +} + +async function parseSSE(res: Response): Promise> { + const text = await res.text(); + return text + .split('\n') + .filter((l) => l.startsWith('data: ')) + .map((l) => { + const payload = l.slice('data: '.length); + return payload === '[DONE]' ? '[DONE]' : JSON.parse(payload); + }); +} + +function eventsOfType(events: Array, type: string) { + return events.filter( + (e) => typeof e === 'object' && (e as any).type === type + ); +} + +const userMsg: UIMessage = { + id: '1', + role: 'user', + parts: [{ type: 'text', text: 'Hi' }], +}; + +function makeRequest( + messages: UIMessage[], + extra: Record = {} +) { + return new Request('http://localhost/api/chat', { + method: 'POST', + body: JSON.stringify({ messages, ...extra }), + }); +} + +// --------------------------------------------------------------------------- +// Lifecycle +// --------------------------------------------------------------------------- + +describe('chatHandler — lifecycle events', () => { + it('starts with a start event and ends with [DONE]', async () => { + const events = await parseSSE( + await chatHandler(fakeFlow(['hi']))(makeRequest([userMsg])) + ); + assert.equal((events[0] as any).type, 'start'); + assert.equal(events[events.length - 1], '[DONE]'); + }); + + it('returns 200 with correct headers', async () => { + const res = await chatHandler(fakeFlow([]))(makeRequest([userMsg])); + assert.equal(res.status, 200); + assert.equal(res.headers.get('Content-Type'), 'text/event-stream'); + assert.equal(res.headers.get('X-Vercel-AI-UI-Message-Stream'), 'v1'); + assert.equal(res.headers.get('X-Accel-Buffering'), 'no'); + }); +}); + +// --------------------------------------------------------------------------- +// Text streaming +// --------------------------------------------------------------------------- + +describe('chatHandler — text streaming', () => { + it('handles {type:text} chunks', async () => { + const events = await parseSSE( + await chatHandler( + fakeFlow([ + { type: 'text', delta: 'Hi' } as StreamChunk, + { type: 'text', delta: '!' } as StreamChunk, + ]) + )(makeRequest([userMsg])) + ); + assert.equal(eventsOfType(events, 'text-start').length, 1); + assert.equal(eventsOfType(events, 'text-delta').length, 2); + assert.equal(eventsOfType(events, 'text-end').length, 1); + }); + + it('skips empty text delta chunks', async () => { + const events = await parseSSE( + await chatHandler( + fakeFlow([ + { type: 'text', delta: '' } as StreamChunk, + { type: 'text', delta: 'hi' } as StreamChunk, + { type: 'text', delta: '' } as StreamChunk, + ]) + )(makeRequest([userMsg])) + ); + assert.equal((eventsOfType(events, 'text-delta') as any[]).length, 1); + }); +}); + +// --------------------------------------------------------------------------- +// Reasoning +// --------------------------------------------------------------------------- + +describe('chatHandler — reasoning chunks', () => { + it('emits reasoning-start / reasoning-delta / reasoning-end', async () => { + const events = await parseSSE( + await chatHandler( + fakeFlow([ + { type: 'reasoning', delta: 'hmm...' } as StreamChunk, + { type: 'text', delta: 'Answer' } as StreamChunk, + ]) + )(makeRequest([userMsg])) + ); + assert.equal(eventsOfType(events, 'reasoning-start').length, 1); + assert.equal(eventsOfType(events, 'reasoning-delta').length, 1); + assert.equal(eventsOfType(events, 'reasoning-end').length, 1); + assert.equal(eventsOfType(events, 'text-start').length, 1); + }); +}); + +// --------------------------------------------------------------------------- +// Tool chunks +// --------------------------------------------------------------------------- + +describe('chatHandler — tool chunks', () => { + it('emits tool-input-start + tool-input-delta', async () => { + const events = await parseSSE( + await chatHandler( + fakeFlow([ + { + type: 'tool-request', + toolCallId: 'tc1', + toolName: 'search', + inputDelta: '{"q":', + } as StreamChunk, + { + type: 'tool-request', + toolCallId: 'tc1', + toolName: 'search', + inputDelta: '"hi"}', + } as StreamChunk, + ]) + )(makeRequest([userMsg])) + ); + assert.equal(eventsOfType(events, 'tool-input-start').length, 1); + assert.equal(eventsOfType(events, 'tool-input-delta').length, 2); + }); + + it('emits tool-input-available for full input', async () => { + const events = await parseSSE( + await chatHandler( + fakeFlow([ + { + type: 'tool-request', + toolCallId: 'tc1', + toolName: 'search', + input: { q: 'genkit' }, + } as StreamChunk, + ]) + )(makeRequest([userMsg])) + ); + assert.equal(eventsOfType(events, 'tool-input-available').length, 1); + assert.deepEqual( + (eventsOfType(events, 'tool-input-available')[0] as any).input, + { q: 'genkit' } + ); + }); + + it('emits tool-output-available for tool-result', async () => { + const events = await parseSSE( + await chatHandler( + fakeFlow([ + { + type: 'tool-result', + toolCallId: 'tc1', + output: { hits: 3 }, + } as StreamChunk, + ]) + )(makeRequest([userMsg])) + ); + assert.deepEqual( + (eventsOfType(events, 'tool-output-available')[0] as any).output, + { hits: 3 } + ); + }); +}); + +// --------------------------------------------------------------------------- +// Tool errors and approval +// --------------------------------------------------------------------------- + +describe('chatHandler — tool errors and approval', () => { + it('emits tool-input-error with errorText', async () => { + const events = await parseSSE( + await chatHandler( + fakeFlow([ + { + type: 'tool-input-error', + toolCallId: 'tc1', + toolName: 'search', + input: '{"bad', + errorText: 'Invalid JSON', + } as StreamChunk, + ]) + )(makeRequest([userMsg])) + ); + // Should emit tool-input-start then tool-input-error + assert.equal(eventsOfType(events, 'tool-input-start').length, 1); + const e = eventsOfType(events, 'tool-input-error')[0] as any; + assert.ok(e); + assert.equal(e.toolCallId, 'tc1'); + assert.equal(e.toolName, 'search'); + assert.equal(e.errorText, 'Invalid JSON'); + }); + + it('emits tool-output-error with errorText', async () => { + const events = await parseSSE( + await chatHandler( + fakeFlow([ + { + type: 'tool-output-error', + toolCallId: 'tc1', + errorText: 'Tool execution failed', + } as StreamChunk, + ]) + )(makeRequest([userMsg])) + ); + const e = eventsOfType(events, 'tool-output-error')[0] as any; + assert.ok(e); + assert.equal(e.toolCallId, 'tc1'); + assert.equal(e.errorText, 'Tool execution failed'); + }); + + it('emits tool-output-denied', async () => { + const events = await parseSSE( + await chatHandler( + fakeFlow([ + { + type: 'tool-output-denied', + toolCallId: 'tc1', + } as StreamChunk, + ]) + )(makeRequest([userMsg])) + ); + const e = eventsOfType(events, 'tool-output-denied')[0] as any; + assert.ok(e); + assert.equal(e.toolCallId, 'tc1'); + }); + + it('emits tool-approval-request', async () => { + const events = await parseSSE( + await chatHandler( + fakeFlow([ + { + type: 'tool-approval-request', + approvalId: 'a1', + toolCallId: 'tc1', + } as StreamChunk, + ]) + )(makeRequest([userMsg])) + ); + const e = eventsOfType(events, 'tool-approval-request')[0] as any; + assert.ok(e); + assert.equal(e.approvalId, 'a1'); + assert.equal(e.toolCallId, 'tc1'); + }); +}); + +// --------------------------------------------------------------------------- +// File output +// --------------------------------------------------------------------------- + +describe('chatHandler — file output', () => { + it('emits file events with url and mediaType', async () => { + const events = await parseSSE( + await chatHandler( + fakeFlow([ + { + type: 'file', + url: 'data:image/png;base64,abc', + mediaType: 'image/png', + } as StreamChunk, + ]) + )(makeRequest([userMsg])) + ); + const f = eventsOfType(events, 'file')[0] as any; + assert.equal(f.url, 'data:image/png;base64,abc'); + assert.equal(f.mediaType, 'image/png'); + // filename is not part of the AI SDK wire format (strictObject schema) + assert.ok(!('filename' in f)); + }); +}); + +// --------------------------------------------------------------------------- +// Source citations +// --------------------------------------------------------------------------- + +describe('chatHandler — source citations', () => { + it('emits source-url event', async () => { + const events = await parseSSE( + await chatHandler( + fakeFlow([ + { + type: 'source-url', + sourceId: 's1', + url: 'https://genkit.dev', + title: 'Genkit Docs', + } as StreamChunk, + ]) + )(makeRequest([userMsg])) + ); + const e = eventsOfType(events, 'source-url')[0] as any; + assert.equal(e.sourceId, 's1'); + assert.equal(e.url, 'https://genkit.dev'); + assert.equal(e.title, 'Genkit Docs'); + }); + + it('emits source-document event', async () => { + const events = await parseSSE( + await chatHandler( + fakeFlow([ + { + type: 'source-document', + sourceId: 's2', + mediaType: 'application/pdf', + title: 'Report', + filename: 'report.pdf', + } as StreamChunk, + ]) + )(makeRequest([userMsg])) + ); + const e = eventsOfType(events, 'source-document')[0] as any; + assert.equal(e.sourceId, 's2'); + assert.equal(e.mediaType, 'application/pdf'); + assert.equal(e.filename, 'report.pdf'); + }); +}); + +// --------------------------------------------------------------------------- +// Custom data +// --------------------------------------------------------------------------- + +describe('chatHandler — custom data', () => { + it('emits data-* events', async () => { + const events = await parseSSE( + await chatHandler( + fakeFlow([ + { + type: 'data', + id: 'usage', + value: { inputTokens: 10 }, + } as StreamChunk, + ]) + )(makeRequest([userMsg])) + ); + const e = events.find( + (e) => typeof e === 'object' && (e as any).type === 'data-usage' + ) as any; + assert.ok(e); + assert.deepEqual(e.data, { inputTokens: 10 }); + }); +}); + +// --------------------------------------------------------------------------- +// Step markers +// --------------------------------------------------------------------------- + +describe('chatHandler — step markers', () => { + it('emits start-step and finish-step', async () => { + const events = await parseSSE( + await chatHandler( + fakeFlow([ + { type: 'step-start' } as StreamChunk, + { type: 'text', delta: 'hi' } as StreamChunk, + { type: 'step-end' } as StreamChunk, + ]) + )(makeRequest([userMsg])) + ); + assert.equal(eventsOfType(events, 'start-step').length, 1); + assert.equal(eventsOfType(events, 'finish-step').length, 1); + }); + + it('closes open text block at step-end', async () => { + const events = await parseSSE( + await chatHandler( + fakeFlow([ + { type: 'text', delta: 'A' } as StreamChunk, + { type: 'step-end' } as StreamChunk, + { type: 'text', delta: 'B' } as StreamChunk, + ]) + )(makeRequest([userMsg])) + ); + assert.equal(eventsOfType(events, 'text-start').length, 2); + assert.equal(eventsOfType(events, 'text-end').length, 2); + }); +}); + +// --------------------------------------------------------------------------- +// finish-message with usage data +// --------------------------------------------------------------------------- + +describe('chatHandler — finish data', () => { + it('emits finish with finishReason and usage in messageMetadata', async () => { + const flow = fakeFlow([{ type: 'text', delta: 'hi' } as StreamChunk], { + finishReason: 'stop', + usage: { inputTokens: 5, outputTokens: 10 }, + }); + const events = await parseSSE( + await chatHandler(flow)(makeRequest([userMsg])) + ); + const f = eventsOfType(events, 'finish')[0] as any; + assert.equal(f.finishReason, 'stop'); + assert.deepEqual(f.messageMetadata?.usage, { + inputTokens: 5, + outputTokens: 10, + }); + }); + + it('emits bare finish event when flow returns plain string (no structured output)', async () => { + const flow = fakeFlow( + [{ type: 'text', delta: 'hi' } as StreamChunk], + 'plain string output' + ); + const events = await parseSSE( + await chatHandler(flow)(makeRequest([userMsg])) + ); + const finish = eventsOfType(events, 'finish'); + assert.equal(finish.length, 1); + // No finishReason or usage — just the type + assert.equal((finish[0] as any).finishReason, undefined); + assert.equal((finish[0] as any).messageMetadata, undefined); + }); +}); + +// --------------------------------------------------------------------------- +// Extra body fields +// --------------------------------------------------------------------------- + +describe('chatHandler — body passthrough', () => { + it('passes extra request fields as input.body to the flow', async () => { + let capturedInput: any; + const flow = { + stream(input: unknown) { + capturedInput = input; + return { + stream: (async function* () {})(), + output: Promise.resolve(''), + }; + }, + } as any; + + const res = await chatHandler(flow)( + makeRequest([userMsg], { sessionId: 'xyz', persona: 'helpful' }) + ); + await res.text(); // drain stream so flow.stream() runs before asserting + assert.deepEqual(capturedInput.body, { + sessionId: 'xyz', + persona: 'helpful', + }); + }); + + it('does not include body in input when no extra fields', async () => { + let capturedInput: any; + const flow = { + stream(input: unknown) { + capturedInput = input; + return { + stream: (async function* () {})(), + output: Promise.resolve(''), + }; + }, + } as any; + + const res2 = await chatHandler(flow)(makeRequest([userMsg])); + await res2.text(); // drain + assert.ok(!('body' in capturedInput)); + }); +}); + +// --------------------------------------------------------------------------- +// Request validation +// --------------------------------------------------------------------------- + +describe('chatHandler — request validation', () => { + it('returns 400 for malformed JSON', async () => { + const req = new Request('http://localhost/api/chat', { + method: 'POST', + body: 'not json', + }); + const res = await chatHandler(fakeFlow([]))(req); + assert.equal(res.status, 400); + }); + + it('returns 400 when messages is missing', async () => { + const req = new Request('http://localhost/api/chat', { + method: 'POST', + body: JSON.stringify({}), + }); + const res = await chatHandler(fakeFlow([]))(req); + assert.equal(res.status, 400); + }); + + it('returns 400 when messages is not an array', async () => { + const req = new Request('http://localhost/api/chat', { + method: 'POST', + body: JSON.stringify({ messages: 'oops' }), + }); + const res = await chatHandler(fakeFlow([]))(req); + assert.equal(res.status, 400); + }); +}); + +// --------------------------------------------------------------------------- +// Context provider (auth) +// --------------------------------------------------------------------------- + +describe('chatHandler — contextProvider', () => { + it('forwards derived context to the flow', async () => { + let capturedOpts: any; + const flow = { + stream(_input: unknown, opts: unknown) { + capturedOpts = opts; + return { + stream: (async function* () {})(), + output: Promise.resolve(''), + }; + }, + } as any; + + const res = await chatHandler(flow, { + contextProvider: async () => ({ userId: 'u1' }), + })(makeRequest([userMsg])); + await res.text(); // drain + + assert.deepEqual(capturedOpts.context, { userId: 'u1' }); + }); + + it('returns 401 when contextProvider throws', async () => { + const err = Object.assign(new Error('Unauthorized'), { status: 401 }); + const res = await chatHandler(fakeFlow([]), { + contextProvider: async () => { + throw err; + }, + })(makeRequest([userMsg])); + assert.equal(res.status, 401); + }); +}); + +// --------------------------------------------------------------------------- +// Abort signal +// --------------------------------------------------------------------------- + +describe('chatHandler — abort signal', () => { + it('passes req.signal to flow.stream()', async () => { + let capturedOpts: any; + const flow = { + stream(_input: unknown, opts: unknown) { + capturedOpts = opts; + return { + stream: (async function* () {})(), + output: Promise.resolve(''), + }; + }, + } as any; + + const req = new Request('http://localhost/api/chat', { + method: 'POST', + body: JSON.stringify({ messages: [userMsg] }), + }); + + const res = await chatHandler(flow)(req); + await res.text(); // drain + assert.ok(capturedOpts.abortSignal instanceof AbortSignal); + }); +}); + +// --------------------------------------------------------------------------- +// onError / mid-stream errors +// --------------------------------------------------------------------------- + +describe('chatHandler — onError', () => { + it('surfaces custom onError string in the error SSE event', async () => { + const throwingFlow = { + stream(_input: unknown, _opts?: unknown) { + return { + stream: (async function* () { + yield { type: 'text', delta: 'partial' } as StreamChunk; + throw new Error('boom'); + })(), + output: Promise.resolve(undefined), + }; + }, + } as any; + + const events = await parseSSE( + await chatHandler(throwingFlow, { + onError: () => 'something went wrong', + })(makeRequest([userMsg])) + ); + const errEvent = events.find( + (e) => typeof e === 'object' && (e as any).type === 'error' + ) as any; + assert.ok(errEvent, 'expected an error event'); + assert.equal(errEvent.errorText, 'something went wrong'); + }); + + it('uses default message when onError returns void', async () => { + const throwingFlow = { + stream(_input: unknown, _opts?: unknown) { + return { + stream: (async function* () { + throw new Error('boom'); + })(), + output: Promise.resolve(undefined), + }; + }, + } as any; + + const events = await parseSSE( + await chatHandler(throwingFlow, { onError: () => {} })( + makeRequest([userMsg]) + ) + ); + const errEvent = events.find( + (e) => typeof e === 'object' && (e as any).type === 'error' + ) as any; + assert.ok(errEvent); + assert.equal(errEvent.errorText, 'An error occurred.'); + }); +}); + +// --------------------------------------------------------------------------- +// finish-reason normalisation +// --------------------------------------------------------------------------- + +describe('chatHandler — finish-reason normalisation', () => { + it('omits finishReason from finish event when flow returns unknown reason', async () => { + const flow = fakeFlow([], { + finishReason: 'cancelled', // not a valid AI SDK finish reason + usage: {}, + }); + const events = await parseSSE( + await chatHandler(flow)(makeRequest([userMsg])) + ); + const f = eventsOfType(events, 'finish')[0] as any; + assert.ok(f, 'expected finish event'); + assert.ok(!('finishReason' in f), 'finishReason should be omitted'); + }); +}); + +// --------------------------------------------------------------------------- +// Response format +// --------------------------------------------------------------------------- diff --git a/js/plugins/vercel-ai-sdk/tests/completion_test.ts b/js/plugins/vercel-ai-sdk/tests/completion_test.ts new file mode 100644 index 0000000000..98351760ec --- /dev/null +++ b/js/plugins/vercel-ai-sdk/tests/completion_test.ts @@ -0,0 +1,368 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import assert from 'node:assert'; +import { describe, it } from 'node:test'; +import { completionHandler } from '../src/completion.js'; +import { type StreamChunk } from '../src/schema.js'; + +function fakeFlow(chunks: (string | StreamChunk)[], finalOutput?: unknown) { + return { + stream(_input: unknown, _opts?: unknown) { + return { + stream: (async function* () { + for (const c of chunks) yield c; + })(), + output: Promise.resolve( + finalOutput ?? chunks.filter((c) => typeof c === 'string').join('') + ), + }; + }, + } as any; +} + +async function parseSSE(res: Response): Promise> { + const text = await res.text(); + return text + .split('\n') + .filter((l) => l.startsWith('data: ')) + .map((l) => { + const payload = l.slice('data: '.length); + return payload === '[DONE]' ? '[DONE]' : JSON.parse(payload); + }); +} + +function eventsOfType(events: Array, type: string) { + return events.filter( + (e) => typeof e === 'object' && (e as any).type === type + ); +} + +function makeReq(prompt: string) { + return new Request('http://localhost/api/completion', { + method: 'POST', + body: JSON.stringify({ prompt }), + }); +} + +describe('completionHandler — lifecycle', () => { + it('emits start, text events, and [DONE]', async () => { + const events = await parseSSE( + await completionHandler( + fakeFlow([ + { type: 'text', delta: 'Once' } as StreamChunk, + { type: 'text', delta: ' upon' } as StreamChunk, + ]) + )(makeReq('tell me a story')) + ); + assert.equal((events[0] as any).type, 'start'); + assert.equal(eventsOfType(events, 'text-start').length, 1); + assert.equal(eventsOfType(events, 'text-delta').length, 2); + assert.equal(eventsOfType(events, 'text-end').length, 1); + assert.equal(events[events.length - 1], '[DONE]'); + }); + + it('skips empty text delta chunks', async () => { + const events = await parseSSE( + await completionHandler( + fakeFlow([ + { type: 'text', delta: '' } as StreamChunk, + { type: 'text', delta: 'hello' } as StreamChunk, + { type: 'text', delta: '' } as StreamChunk, + ]) + )(makeReq('hi')) + ); + assert.equal((eventsOfType(events, 'text-delta') as any[]).length, 1); + }); +}); + +describe('completionHandler — rich chunks (StreamChunkSchema)', () => { + it('handles reasoning chunks', async () => { + const events = await parseSSE( + await completionHandler( + fakeFlow([ + { type: 'reasoning', delta: 'thinking...' } as StreamChunk, + { type: 'text', delta: 'answer' } as StreamChunk, + ]) + )(makeReq('prompt')) + ); + assert.equal(eventsOfType(events, 'reasoning-start').length, 1); + assert.equal(eventsOfType(events, 'reasoning-delta').length, 1); + assert.equal(eventsOfType(events, 'text-start').length, 1); + }); + + it('handles file chunks', async () => { + const events = await parseSSE( + await completionHandler( + fakeFlow([ + { + type: 'file', + url: 'data:image/png;base64,abc', + mediaType: 'image/png', + } as StreamChunk, + ]) + )(makeReq('prompt')) + ); + assert.equal(eventsOfType(events, 'file').length, 1); + }); + + it('handles source-url chunks', async () => { + const events = await parseSSE( + await completionHandler( + fakeFlow([ + { + type: 'source-url', + sourceId: 's1', + url: 'https://genkit.dev', + } as StreamChunk, + ]) + )(makeReq('prompt')) + ); + assert.equal(eventsOfType(events, 'source-url').length, 1); + }); +}); + +describe('completionHandler — finish data', () => { + it('populates finish with finishReason from FlowOutputSchema output', async () => { + const flow = fakeFlow([], { + finishReason: 'stop', + usage: { inputTokens: 3 }, + }); + const events = await parseSSE(await completionHandler(flow)(makeReq('hi'))); + const f = eventsOfType(events, 'finish')[0] as any; + assert.equal(f.finishReason, 'stop'); + assert.deepEqual(f.messageMetadata?.usage, { inputTokens: 3 }); + }); +}); + +describe('completionHandler — request validation', () => { + it('returns 400 for malformed JSON', async () => { + const req = new Request('http://localhost/api/completion', { + method: 'POST', + body: 'bad', + }); + const res = await completionHandler(fakeFlow([]))(req); + assert.equal(res.status, 400); + }); + + it('returns 400 when prompt is missing', async () => { + const req = new Request('http://localhost/api/completion', { + method: 'POST', + body: JSON.stringify({}), + }); + const res = await completionHandler(fakeFlow([]))(req); + assert.equal(res.status, 400); + }); + + it('returns 400 when prompt is not a string', async () => { + const req = new Request('http://localhost/api/completion', { + method: 'POST', + body: JSON.stringify({ prompt: 42 }), + }); + const res = await completionHandler(fakeFlow([]))(req); + assert.equal(res.status, 400); + }); +}); + +describe('completionHandler — contextProvider', () => { + it('forwards context to the flow', async () => { + let capturedOpts: any; + const flow = { + stream(_: unknown, opts: unknown) { + capturedOpts = opts; + return { + stream: (async function* () {})(), + output: Promise.resolve(''), + }; + }, + } as any; + const res = await completionHandler(flow, { + contextProvider: async () => ({ userId: 'u1' }), + })(makeReq('hi')); + await res.text(); // drain + assert.deepEqual(capturedOpts.context, { userId: 'u1' }); + }); + + it('returns error status when contextProvider throws', async () => { + const err = Object.assign(new Error('Forbidden'), { status: 403 }); + const res = await completionHandler(fakeFlow([]), { + contextProvider: async () => { + throw err; + }, + })(makeReq('hi')); + assert.equal(res.status, 403); + }); +}); + +describe('completionHandler — abort signal', () => { + it('passes req.signal to flow.stream()', async () => { + let capturedOpts: any; + const flow = { + stream(_: unknown, opts: unknown) { + capturedOpts = opts; + return { + stream: (async function* () {})(), + output: Promise.resolve(''), + }; + }, + } as any; + const res = await completionHandler(flow)(makeReq('hi')); + await res.text(); // drain + assert.ok(capturedOpts.abortSignal instanceof AbortSignal); + }); +}); + +describe('completionHandler — onError (SSE mode)', () => { + it('surfaces custom onError string in the error SSE event', async () => { + const throwingFlow = { + stream(_input: unknown, _opts?: unknown) { + return { + stream: (async function* () { + throw new Error('boom'); + })(), + output: Promise.resolve(undefined), + }; + }, + } as any; + + const events = await parseSSE( + await completionHandler(throwingFlow, { + onError: () => 'oops', + })(makeReq('hi')) + ); + const errEvent = events.find( + (e) => typeof e === 'object' && (e as any).type === 'error' + ) as any; + assert.ok(errEvent, 'expected an error event'); + assert.equal(errEvent.errorText, 'oops'); + }); + + it('uses default message when onError returns void', async () => { + const throwingFlow = { + stream(_input: unknown, _opts?: unknown) { + return { + stream: (async function* () { + throw new Error('boom'); + })(), + output: Promise.resolve(undefined), + }; + }, + } as any; + + const events = await parseSSE( + await completionHandler(throwingFlow, { onError: () => {} })( + makeReq('hi') + ) + ); + const errEvent = events.find( + (e) => typeof e === 'object' && (e as any).type === 'error' + ) as any; + assert.ok(errEvent); + assert.equal(errEvent.errorText, 'An error occurred.'); + }); +}); + +describe('completionHandler — onError (text mode)', () => { + it('writes custom error message to text stream', async () => { + const throwingFlow = { + stream(_input: unknown, _opts?: unknown) { + return { + stream: (async function* () { + yield 'partial'; + throw new Error('boom'); + })(), + output: Promise.resolve(undefined), + }; + }, + } as any; + + const res = await completionHandler(throwingFlow, { + streamProtocol: 'text', + onError: () => ' [error]', + })(makeReq('hi')); + const text = await res.text(); + assert.ok(text.endsWith(' [error]')); + }); + + it('uses default error message when onError returns void (text mode)', async () => { + const throwingFlow = { + stream(_input: unknown, _opts?: unknown) { + return { + stream: (async function* () { + throw new Error('boom'); + })(), + output: Promise.resolve(undefined), + }; + }, + } as any; + + const res = await completionHandler(throwingFlow, { + streamProtocol: 'text', + onError: () => {}, + })(makeReq('hi')); + assert.equal(await res.text(), 'An error occurred.'); + }); +}); + +describe('completionHandler — response format', () => { + it('returns 200 with correct AI SDK headers', async () => { + const res = await completionHandler(fakeFlow([]))(makeReq('hi')); + assert.equal(res.status, 200); + assert.equal(res.headers.get('Content-Type'), 'text/event-stream'); + assert.equal(res.headers.get('X-Vercel-AI-UI-Message-Stream'), 'v1'); + assert.equal(res.headers.get('X-Accel-Buffering'), 'no'); + await res.text(); // drain + }); +}); + +describe('completionHandler — streamProtocol: text', () => { + it('returns text/plain and forwards text chunk deltas', async () => { + const res = await completionHandler( + fakeFlow([ + { type: 'text', delta: 'Hello' } as StreamChunk, + { type: 'text', delta: ', ' } as StreamChunk, + { type: 'text', delta: 'world!' } as StreamChunk, + ]), + { streamProtocol: 'text' } + )(makeReq('hi')); + assert.equal(res.status, 200); + assert.ok(res.headers.get('Content-Type')?.includes('text/plain')); + assert.equal(await res.text(), 'Hello, world!'); + }); + + it('ignores non-text typed chunks', async () => { + const res = await completionHandler( + fakeFlow([ + { type: 'reasoning', delta: 'thinking...' } as StreamChunk, + { type: 'text', delta: 'answer' } as StreamChunk, + ]), + { streamProtocol: 'text' } + )(makeReq('hi')); + assert.equal(await res.text(), 'answer'); + }); + + it('skips empty text deltas', async () => { + const res = await completionHandler( + fakeFlow([ + { type: 'text', delta: '' } as StreamChunk, + { type: 'text', delta: 'ok' } as StreamChunk, + { type: 'text', delta: '' } as StreamChunk, + ]), + { streamProtocol: 'text' } + )(makeReq('hi')); + assert.equal(await res.text(), 'ok'); + }); +}); diff --git a/js/plugins/vercel-ai-sdk/tests/convert_test.ts b/js/plugins/vercel-ai-sdk/tests/convert_test.ts new file mode 100644 index 0000000000..a1c3ccc778 --- /dev/null +++ b/js/plugins/vercel-ai-sdk/tests/convert_test.ts @@ -0,0 +1,184 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import assert from 'node:assert'; +import { describe, it } from 'node:test'; +import { toGenkitMessages, type UIMessage } from '../src/convert.js'; + +// --------------------------------------------------------------------------- +// Helpers +// --------------------------------------------------------------------------- + +function msg( + role: UIMessage['role'], + parts: UIMessage['parts'], + content?: string +): UIMessage { + return { + id: 'x', + role, + parts, + ...(content !== undefined ? { content } : {}), + }; +} + +// --------------------------------------------------------------------------- +// Tests +// --------------------------------------------------------------------------- + +describe('toGenkitMessages', () => { + it('converts plain text user message', () => { + const result = toGenkitMessages([ + msg('user', [{ type: 'text', text: 'Hello' }]), + ]); + assert.equal(result.length, 1); + assert.equal(result[0].role, 'user'); + assert.deepEqual(result[0].content, [{ text: 'Hello' }]); + }); + + it('falls back to legacy content string', () => { + const result = toGenkitMessages([msg('user', [], 'Fallback')]); + assert.equal(result[0].role, 'user'); + assert.deepEqual(result[0].content, [{ text: 'Fallback' }]); + }); + + it('converts assistant text → model role', () => { + const result = toGenkitMessages([ + msg('assistant', [{ type: 'text', text: 'Hi there' }]), + ]); + assert.equal(result[0].role, 'model'); + assert.deepEqual(result[0].content, [{ text: 'Hi there' }]); + }); + + it('converts file attachment → media part', () => { + const result = toGenkitMessages([ + msg('user', [ + { type: 'text', text: 'What is this?' }, + { + type: 'file', + url: 'data:image/png;base64,abc', + mediaType: 'image/png', + } as any, + ]), + ]); + assert.deepEqual(result[0].content, [ + { text: 'What is this?' }, + { media: { url: 'data:image/png;base64,abc', contentType: 'image/png' } }, + ]); + }); + + it('converts dynamic-tool (state: input-available) → toolRequest only', () => { + const result = toGenkitMessages([ + msg('assistant', [ + { + type: 'dynamic-tool', + toolCallId: 'tc1', + toolName: 'search', + state: 'input-available', + input: { q: 'genkit' }, + } as any, + ]), + ]); + assert.equal(result.length, 1); + assert.equal(result[0].role, 'model'); + assert.deepEqual(result[0].content, [ + { toolRequest: { ref: 'tc1', name: 'search', input: { q: 'genkit' } } }, + ]); + }); + + it('converts dynamic-tool (state: output-available) → model + tool messages', () => { + const result = toGenkitMessages([ + msg('assistant', [ + { + type: 'dynamic-tool', + toolCallId: 'tc1', + toolName: 'search', + state: 'output-available', + input: { q: 'genkit' }, + output: { hits: 5 }, + } as any, + ]), + ]); + assert.equal(result.length, 2); + assert.equal(result[0].role, 'model'); + assert.deepEqual(result[0].content, [ + { toolRequest: { ref: 'tc1', name: 'search', input: { q: 'genkit' } } }, + ]); + assert.equal(result[1].role, 'tool'); + assert.deepEqual(result[1].content, [ + { toolResponse: { ref: 'tc1', name: 'search', output: { hits: 5 } } }, + ]); + }); + + it('converts static tool-${name} part → toolRequest', () => { + const result = toGenkitMessages([ + msg('assistant', [ + { + type: 'tool-search', + toolCallId: 'tc1', + state: 'input-available', + input: { q: 'genkit' }, + } as any, + ]), + ]); + assert.equal(result.length, 1); + assert.equal(result[0].role, 'model'); + assert.deepEqual(result[0].content, [ + { toolRequest: { ref: 'tc1', name: 'search', input: { q: 'genkit' } } }, + ]); + }); + + it('passes system messages through', () => { + const result = toGenkitMessages([ + msg('system', [{ type: 'text', text: 'Be helpful.' }]), + ]); + assert.equal(result[0].role, 'system'); + assert.deepEqual(result[0].content, [{ text: 'Be helpful.' }]); + }); + + it('preserves message order across mixed conversation', () => { + const result = toGenkitMessages([ + msg('system', [{ type: 'text', text: 'sys' }]), + msg('user', [{ type: 'text', text: 'Q' }]), + msg('assistant', [{ type: 'text', text: 'A' }]), + ]); + assert.deepEqual( + result.map((m) => m.role), + ['system', 'user', 'model'] + ); + }); + + it('handles assistant with text + tool output-available → model + tool messages', () => { + const result = toGenkitMessages([ + msg('assistant', [ + { type: 'text', text: 'Let me check...' }, + { + type: 'dynamic-tool', + toolCallId: 'tc2', + toolName: 'calc', + state: 'output-available', + input: { expr: '2+2' }, + output: 4, + } as any, + ]), + ]); + // model message (text + toolRequest) + tool message (toolResponse) + assert.equal(result.length, 2); + assert.equal(result[0].role, 'model'); + assert.equal(result[0].content.length, 2); + assert.equal(result[1].role, 'tool'); + }); +}); diff --git a/js/plugins/vercel-ai-sdk/tests/generate_test.ts b/js/plugins/vercel-ai-sdk/tests/generate_test.ts new file mode 100644 index 0000000000..59e6372ee4 --- /dev/null +++ b/js/plugins/vercel-ai-sdk/tests/generate_test.ts @@ -0,0 +1,179 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import assert from 'node:assert'; +import { describe, it } from 'node:test'; +import { toFlowOutput, toStreamChunks } from '../src/generate.js'; + +function fakeChunk({ + text = '', + reasoning = '', + content = [] as any[], + toolRequests = [] as any[], +} = {}) { + return { text, reasoning, content, toolRequests } as any; +} + +function fakeResponse(opts: { finishReason?: string; usage?: any } = {}) { + return { finishReason: opts.finishReason, usage: opts.usage ?? {} } as any; +} + +describe('toStreamChunks', () => { + it('returns empty array for empty chunk', () => { + assert.deepEqual(toStreamChunks(fakeChunk()), []); + }); + + it('maps media parts to file chunks', () => { + const result = toStreamChunks( + fakeChunk({ + content: [ + { + media: { + url: 'data:image/png;base64,abc', + contentType: 'image/png', + }, + }, + ], + }) + ); + assert.deepEqual(result, [ + { + type: 'file', + url: 'data:image/png;base64,abc', + mediaType: 'image/png', + }, + ]); + }); + + it('uses application/octet-stream when contentType is missing', () => { + const result = toStreamChunks( + fakeChunk({ content: [{ media: { url: 'data:image/png;base64,abc' } }] }) + ); + assert.equal((result[0] as any).mediaType, 'application/octet-stream'); + }); + + it('maps multiple media parts', () => { + const result = toStreamChunks( + fakeChunk({ + content: [ + { media: { url: 'u1', contentType: 'image/png' } }, + { media: { url: 'u2', contentType: 'image/jpeg' } }, + ], + }) + ); + assert.equal(result.length, 2); + assert.equal((result[0] as any).url, 'u1'); + assert.equal((result[1] as any).url, 'u2'); + }); + + it('ignores non-media content parts', () => { + const result = toStreamChunks( + fakeChunk({ content: [{ text: 'hi' }, { data: {} }], text: 'hi' }) + ); + assert.equal(result.filter((c) => c.type === 'file').length, 0); + }); + + it('maps text to a text chunk', () => { + const result = toStreamChunks(fakeChunk({ text: 'hello' })); + assert.deepEqual(result, [{ type: 'text', delta: 'hello' }]); + }); + + it('maps reasoning before text', () => { + const result = toStreamChunks(fakeChunk({ reasoning: 'hmm', text: 'ok' })); + assert.equal(result[0].type, 'reasoning'); + assert.equal(result[1].type, 'text'); + }); + + it('maps tool requests using ref as toolCallId', () => { + const result = toStreamChunks( + fakeChunk({ + content: [ + { + toolRequest: { + ref: 'call-1', + name: 'search', + input: { q: 'genkit' }, + }, + }, + ], + }) + ); + assert.deepEqual(result, [ + { + type: 'tool-request', + toolCallId: 'call-1', + toolName: 'search', + input: { q: 'genkit' }, + }, + ]); + }); + + it('falls back to name when ref is missing', () => { + const result = toStreamChunks( + fakeChunk({ + content: [{ toolRequest: { name: 'search', input: {} } }], + }) + ); + assert.equal((result[0] as any).toolCallId, 'search'); + }); + + it('handles multiple tool requests', () => { + const result = toStreamChunks( + fakeChunk({ + content: [ + { toolRequest: { ref: 'c1', name: 'a', input: {} } }, + { toolRequest: { ref: 'c2', name: 'b', input: {} } }, + ], + }) + ); + assert.equal(result.length, 2); + assert.equal((result[0] as any).toolCallId, 'c1'); + assert.equal((result[1] as any).toolCallId, 'c2'); + }); + + it('emits media before tool requests', () => { + const result = toStreamChunks( + fakeChunk({ + content: [ + { media: { url: 'u1', contentType: 'image/png' } }, + { toolRequest: { ref: 'c1', name: 'a', input: {} } }, + ], + }) + ); + assert.equal(result[0].type, 'file'); + assert.equal(result[1].type, 'tool-request'); + }); +}); + +describe('toFlowOutput', () => { + it('extracts finishReason and usage', () => { + const result = toFlowOutput( + fakeResponse({ finishReason: 'stop', usage: { inputTokens: 5 } }) + ); + assert.equal(result.finishReason, 'stop'); + assert.deepEqual(result.usage, { inputTokens: 5 }); + }); + + it('handles undefined finishReason', () => { + const result = toFlowOutput(fakeResponse({ finishReason: undefined })); + assert.equal(result.finishReason, undefined); + }); + + it('returns empty usage object when usage is empty', () => { + const result = toFlowOutput(fakeResponse({ usage: {} })); + assert.deepEqual(result.usage, {}); + }); +}); diff --git a/js/plugins/vercel-ai-sdk/tests/object_test.ts b/js/plugins/vercel-ai-sdk/tests/object_test.ts new file mode 100644 index 0000000000..09f9159b11 --- /dev/null +++ b/js/plugins/vercel-ai-sdk/tests/object_test.ts @@ -0,0 +1,175 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import assert from 'node:assert'; +import { describe, it } from 'node:test'; +import { objectHandler } from '../src/object.js'; + +function fakeFlow(chunks: string[]) { + return { + stream(_input: unknown, _opts?: unknown) { + return { + stream: (async function* () { + for (const c of chunks) yield c; + })(), + output: Promise.resolve(chunks.join('')), + }; + }, + } as any; +} + +describe('objectHandler — streaming', () => { + it('returns text/plain response', async () => { + const res = await objectHandler(fakeFlow(['{}']))( + new Request('http://localhost/api/object', { + method: 'POST', + body: JSON.stringify({}), + }) + ); + assert.equal(res.status, 200); + assert.ok(res.headers.get('Content-Type')?.includes('text/plain')); + }); + + it('pipes partial JSON verbatim', async () => { + const res = await objectHandler(fakeFlow(['{"items":[', '"a","b"', ']}']))( + new Request('http://localhost/api/object', { + method: 'POST', + body: JSON.stringify({ topic: 'fruit' }), + }) + ); + assert.equal(await res.text(), '{"items":["a","b"]}'); + }); + + it('skips empty chunks', async () => { + const res = await objectHandler(fakeFlow(['', '{"ok":true}', '']))( + new Request('http://localhost/api/object', { + method: 'POST', + body: JSON.stringify({}), + }) + ); + assert.equal(await res.text(), '{"ok":true}'); + }); +}); + +describe('objectHandler — request validation', () => { + it('returns 400 for malformed JSON', async () => { + const res = await objectHandler(fakeFlow([]))( + new Request('http://localhost/api/object', { + method: 'POST', + body: 'not json', + }) + ); + assert.equal(res.status, 400); + }); +}); + +describe('objectHandler — contextProvider', () => { + it('forwards context to the flow', async () => { + let capturedOpts: any; + const flow = { + stream(_: unknown, opts: unknown) { + capturedOpts = opts; + return { + stream: (async function* () {})(), + output: Promise.resolve(''), + }; + }, + } as any; + + const res = await objectHandler(flow, { + contextProvider: async () => ({ userId: 'u1' }), + })( + new Request('http://localhost/api/object', { + method: 'POST', + body: JSON.stringify({}), + }) + ); + await res.text(); // drain + assert.deepEqual(capturedOpts.context, { userId: 'u1' }); + }); + + it('returns error status when contextProvider throws before stream opens', async () => { + const err = Object.assign(new Error('Unauthorized'), { status: 401 }); + const res = await objectHandler(fakeFlow([]), { + contextProvider: async () => { + throw err; + }, + })( + new Request('http://localhost/api/object', { + method: 'POST', + body: JSON.stringify({}), + }) + ); + assert.equal(res.status, 401); + }); +}); + +describe('objectHandler — mid-stream errors', () => { + it('closes the stream without appending text so partial JSON is not corrupted', async () => { + let onErrorCalled = false; + const flow = { + stream(_: unknown, __: unknown) { + return { + stream: (async function* () { + yield '{"item":'; + throw new Error('mid-stream failure'); + })(), + output: Promise.resolve(''), + }; + }, + } as any; + + const res = await objectHandler(flow, { + onError: () => { + onErrorCalled = true; + }, + })( + new Request('http://localhost/api/object', { + method: 'POST', + body: JSON.stringify({}), + }) + ); + + const text = await res.text(); + // Should not have appended any error JSON — the partial JSON stands alone + assert.equal(text, '{"item":'); + assert.ok(onErrorCalled); + }); +}); + +describe('objectHandler — abort signal', () => { + it('passes req.signal to flow.stream()', async () => { + let capturedOpts: any; + const flow = { + stream(_: unknown, opts: unknown) { + capturedOpts = opts; + return { + stream: (async function* () {})(), + output: Promise.resolve(''), + }; + }, + } as any; + + const res = await objectHandler(flow)( + new Request('http://localhost/api/object', { + method: 'POST', + body: JSON.stringify({}), + }) + ); + await res.text(); // drain + assert.ok(capturedOpts.abortSignal instanceof AbortSignal); + }); +}); diff --git a/js/plugins/vercel-ai-sdk/tests/schema_test.ts b/js/plugins/vercel-ai-sdk/tests/schema_test.ts new file mode 100644 index 0000000000..a597b70dde --- /dev/null +++ b/js/plugins/vercel-ai-sdk/tests/schema_test.ts @@ -0,0 +1,349 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import assert from 'node:assert'; +import { describe, it } from 'node:test'; +import { + FlowOutputSchema, + MessagesSchema, + StreamChunkSchema, +} from '../src/schema.js'; + +// --------------------------------------------------------------------------- +// MessagesSchema +// --------------------------------------------------------------------------- + +describe('MessagesSchema', () => { + it('accepts text parts (Genkit-native format)', () => { + assert.ok( + MessagesSchema.safeParse({ + messages: [{ role: 'user', content: [{ text: 'Hello' }] }], + }).success + ); + }); + + it('accepts array of text parts for multiple messages', () => { + assert.ok( + MessagesSchema.safeParse({ + messages: [ + { role: 'user', content: [{ text: 'Hi' }] }, + { role: 'model', content: [{ text: 'Hello!' }] }, + ], + }).success + ); + }); + + it('accepts media parts', () => { + assert.ok( + MessagesSchema.safeParse({ + messages: [ + { + role: 'user', + content: [ + { text: 'What is this?' }, + { + media: { + url: 'data:image/png;base64,abc', + contentType: 'image/png', + }, + }, + ], + }, + ], + }).success + ); + }); + + it('accepts toolRequest and toolResponse parts', () => { + assert.ok( + MessagesSchema.safeParse({ + messages: [ + { + role: 'model', + content: [ + { + toolRequest: { name: 'search', ref: 'tc1', input: { q: 'hi' } }, + }, + ], + }, + { + role: 'tool', + content: [ + { + toolResponse: { + name: 'search', + ref: 'tc1', + output: { result: 'ok' }, + }, + }, + ], + }, + ], + }).success + ); + }); + + it('accepts all four roles', () => { + assert.ok( + MessagesSchema.safeParse({ + messages: [ + { role: 'system', content: [{ text: 'sys' }] }, + { role: 'user', content: [{ text: 'hi' }] }, + { role: 'model', content: [{ text: 'hello' }] }, + { + role: 'tool', + content: [{ toolResponse: { name: 'f', ref: 'x', output: {} } }], + }, + ], + }).success + ); + }); + + it('accepts optional body field with arbitrary fields', () => { + const r = MessagesSchema.safeParse({ + messages: [{ role: 'user', content: [{ text: 'hi' }] }], + body: { sessionId: 'abc', persona: 'helpful', count: 3 }, + }); + assert.ok(r.success); + assert.deepEqual(r.data!.body, { + sessionId: 'abc', + persona: 'helpful', + count: 3, + }); + }); + + it('body field is optional', () => { + assert.ok( + MessagesSchema.safeParse({ + messages: [{ role: 'user', content: [{ text: 'hi' }] }], + }).success + ); + }); + + it('rejects unknown roles', () => { + assert.ok( + !MessagesSchema.safeParse({ + messages: [{ role: 'assistant', content: [{ text: 'hi' }] }], + }).success + ); + }); +}); + +// --------------------------------------------------------------------------- +// StreamChunkSchema +// --------------------------------------------------------------------------- + +describe('StreamChunkSchema', () => { + it('accepts text chunk', () => { + assert.ok( + StreamChunkSchema.safeParse({ type: 'text', delta: 'Hello' }).success + ); + }); + + it('accepts reasoning chunk', () => { + assert.ok( + StreamChunkSchema.safeParse({ type: 'reasoning', delta: 'I think...' }) + .success + ); + }); + + it('accepts tool-request with inputDelta', () => { + assert.ok( + StreamChunkSchema.safeParse({ + type: 'tool-request', + toolCallId: 'tc1', + toolName: 'search', + inputDelta: '{"q":', + }).success + ); + }); + + it('accepts tool-request with full input', () => { + assert.ok( + StreamChunkSchema.safeParse({ + type: 'tool-request', + toolCallId: 'tc1', + toolName: 'search', + input: { q: 'genkit' }, + }).success + ); + }); + + it('accepts tool-result', () => { + assert.ok( + StreamChunkSchema.safeParse({ + type: 'tool-result', + toolCallId: 'tc1', + output: { answer: 42 }, + }).success + ); + }); + + it('accepts file chunk', () => { + assert.ok( + StreamChunkSchema.safeParse({ + type: 'file', + url: 'data:image/png;base64,abc', + mediaType: 'image/png', + }).success + ); + }); + + it('accepts file chunk with filename', () => { + assert.ok( + StreamChunkSchema.safeParse({ + type: 'file', + url: 'https://example.com/img.png', + mediaType: 'image/png', + filename: 'img.png', + }).success + ); + }); + + it('accepts source-url chunk', () => { + assert.ok( + StreamChunkSchema.safeParse({ + type: 'source-url', + sourceId: 's1', + url: 'https://example.com', + }).success + ); + }); + + it('accepts source-url with title', () => { + assert.ok( + StreamChunkSchema.safeParse({ + type: 'source-url', + sourceId: 's1', + url: 'https://example.com', + title: 'Example', + }).success + ); + }); + + it('accepts source-document chunk', () => { + assert.ok( + StreamChunkSchema.safeParse({ + type: 'source-document', + sourceId: 's2', + mediaType: 'application/pdf', + title: 'Report', + }).success + ); + }); + + it('accepts source-document with filename', () => { + assert.ok( + StreamChunkSchema.safeParse({ + type: 'source-document', + sourceId: 's2', + mediaType: 'application/pdf', + title: 'Report', + filename: 'report.pdf', + }).success + ); + }); + + it('accepts data chunk', () => { + assert.ok( + StreamChunkSchema.safeParse({ + type: 'data', + id: 'usage', + value: { inputTokens: 10 }, + }).success + ); + }); + + it('accepts tool-input-error', () => { + assert.ok( + StreamChunkSchema.safeParse({ + type: 'tool-input-error', + toolCallId: 'tc1', + toolName: 'search', + input: '{"bad', + errorText: 'Invalid JSON', + }).success + ); + }); + + it('accepts tool-output-error', () => { + assert.ok( + StreamChunkSchema.safeParse({ + type: 'tool-output-error', + toolCallId: 'tc1', + errorText: 'Tool execution failed', + }).success + ); + }); + + it('accepts tool-output-denied', () => { + assert.ok( + StreamChunkSchema.safeParse({ + type: 'tool-output-denied', + toolCallId: 'tc1', + }).success + ); + }); + + it('accepts tool-approval-request', () => { + assert.ok( + StreamChunkSchema.safeParse({ + type: 'tool-approval-request', + approvalId: 'a1', + toolCallId: 'tc1', + }).success + ); + }); + + it('accepts step-start and step-end', () => { + assert.ok(StreamChunkSchema.safeParse({ type: 'step-start' }).success); + assert.ok(StreamChunkSchema.safeParse({ type: 'step-end' }).success); + }); + + it('rejects unknown type', () => { + assert.ok( + !StreamChunkSchema.safeParse({ type: 'unknown-future-type' }).success + ); + }); +}); + +// --------------------------------------------------------------------------- +// FlowOutputSchema +// --------------------------------------------------------------------------- + +describe('FlowOutputSchema', () => { + it('accepts finishReason and usage', () => { + const r = FlowOutputSchema.safeParse({ + finishReason: 'stop', + usage: { inputTokens: 10, outputTokens: 20 }, + }); + assert.ok(r.success); + assert.equal(r.data!.finishReason, 'stop'); + assert.deepEqual(r.data!.usage, { inputTokens: 10, outputTokens: 20 }); + }); + + it('accepts partial output (only finishReason)', () => { + assert.ok(FlowOutputSchema.safeParse({ finishReason: 'length' }).success); + }); + + it('accepts empty object', () => { + assert.ok(FlowOutputSchema.safeParse({}).success); + }); + + it('rejects non-object output (plain string)', () => { + assert.ok(!FlowOutputSchema.safeParse('done').success); + }); +}); diff --git a/js/plugins/vercel-ai-sdk/tests/tsconfig.typecheck.json b/js/plugins/vercel-ai-sdk/tests/tsconfig.typecheck.json new file mode 100644 index 0000000000..23a53b5501 --- /dev/null +++ b/js/plugins/vercel-ai-sdk/tests/tsconfig.typecheck.json @@ -0,0 +1,4 @@ +{ + "extends": "../tsconfig.json", + "include": ["../src", "type_check.ts"] +} diff --git a/js/plugins/vercel-ai-sdk/tests/type_check.ts b/js/plugins/vercel-ai-sdk/tests/type_check.ts new file mode 100644 index 0000000000..683bb60eb2 --- /dev/null +++ b/js/plugins/vercel-ai-sdk/tests/type_check.ts @@ -0,0 +1,71 @@ +/** + * Copyright 2026 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +/** + * This file is NOT a runtime test — it only exercises compile-time type checks. + * Run: npx tsc --noEmit -p tests/tsconfig.typecheck.json + * + * Every line marked @ts-expect-error MUST produce a type error. + * If tsc passes with zero errors this file is working correctly. + */ + +import { z, type Action } from 'genkit/beta'; +import { chatHandler } from '../src/chat.js'; +import { completionHandler } from '../src/completion.js'; +import { objectHandler } from '../src/object.js'; +import { MessagesSchema, StreamChunkSchema } from '../src/schema.js'; + +// ---- chatHandler: correct usage (should compile) ------------------------- +declare const goodChat: Action< + typeof MessagesSchema, + any, + typeof StreamChunkSchema +>; +chatHandler(goodChat); + +// ---- chatHandler: wrong inputSchema -------------------------------------- +declare const badChatInput: Action; +// @ts-expect-error inputSchema must accept Messages (not string) +chatHandler(badChatInput); + +// ---- chatHandler: wrong inputSchema (number) ----------------------------- +declare const badChatNumber: Action; +// @ts-expect-error inputSchema must accept Messages (not number) +chatHandler(badChatNumber); + +// ---- completionHandler: correct usage (should compile) ------------------- +declare const goodCompletion: Action< + z.ZodString, + any, + typeof StreamChunkSchema +>; +completionHandler(goodCompletion); + +// ---- completionHandler: wrong inputSchema -------------------------------- +declare const badCompInput: Action< + z.ZodObject, + any, + typeof StreamChunkSchema +>; +// @ts-expect-error inputSchema must accept string (not object) +completionHandler(badCompInput); + +// ---- objectHandler: correct usage (should compile) ----------------------- +declare const goodObject: Action; +objectHandler(goodObject); + +// objectHandler accepts any input schema, so no wrong-input test needed. +// The stream schema constraint (must produce strings) is enforced at runtime. diff --git a/js/plugins/vercel-ai-sdk/tsconfig.json b/js/plugins/vercel-ai-sdk/tsconfig.json new file mode 100644 index 0000000000..8b18d61e76 --- /dev/null +++ b/js/plugins/vercel-ai-sdk/tsconfig.json @@ -0,0 +1,7 @@ +{ + "extends": "../../tsconfig.json", + "include": ["src"], + "compilerOptions": { + "skipLibCheck": true + } +} diff --git a/js/plugins/vercel-ai-sdk/tsup.config.ts b/js/plugins/vercel-ai-sdk/tsup.config.ts new file mode 100644 index 0000000000..d55507161f --- /dev/null +++ b/js/plugins/vercel-ai-sdk/tsup.config.ts @@ -0,0 +1,22 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import { defineConfig, type Options } from 'tsup'; +import { defaultOptions } from '../../tsup.common'; + +export default defineConfig({ + ...(defaultOptions as Options), +}); diff --git a/js/pnpm-lock.yaml b/js/pnpm-lock.yaml index 7d7b031429..01a16ff459 100644 --- a/js/pnpm-lock.yaml +++ b/js/pnpm-lock.yaml @@ -187,7 +187,7 @@ importers: version: 4.1.1 '@genkit-ai/firebase': specifier: ^1.16.1 - version: 1.29.0(@google-cloud/firestore@7.11.6(encoding@0.1.13))(encoding@0.1.13)(firebase-admin@13.7.0(encoding@0.1.13))(firebase@11.10.0)(genkit@1.30.1(@google-cloud/firestore@7.11.6(encoding@0.1.13))(encoding@0.1.13)(firebase-admin@13.7.0(encoding@0.1.13))(firebase@11.10.0)) + version: 1.29.0(@google-cloud/firestore@7.11.6(encoding@0.1.13))(encoding@0.1.13)(firebase-admin@13.7.0(encoding@0.1.13))(firebase@11.10.0)(genkit@1.31.0(@google-cloud/firestore@7.11.6(encoding@0.1.13))(encoding@0.1.13)(firebase-admin@13.7.0(encoding@0.1.13))(firebase@11.10.0)) doc-snippets: dependencies: @@ -950,6 +950,36 @@ importers: specifier: ^5.9.3 version: 5.9.3 + plugins/vercel-ai-sdk: + devDependencies: + '@types/node': + specifier: ^20.11.16 + version: 20.19.37 + ai: + specifier: ^6.0.156 + version: 6.0.156(zod@3.25.76) + genkit: + specifier: workspace:^ + version: link:../../genkit + npm-run-all: + specifier: ^4.1.5 + version: 4.1.5 + rimraf: + specifier: ^6.0.1 + version: 6.1.3 + tsup: + specifier: ^8.3.5 + version: 8.5.1(postcss@8.4.31)(tsx@4.20.3)(typescript@5.9.3)(yaml@2.8.2) + tsx: + specifier: ^4.19.2 + version: 4.20.3 + typescript: + specifier: ^5.9.3 + version: 5.9.3 + zod: + specifier: ^3.24.1 + version: 3.25.76 + plugins/vertexai: dependencies: '@anthropic-ai/sdk': @@ -1904,6 +1934,49 @@ importers: specifier: ^5.9.3 version: 5.9.3 + testapps/vercel-ai-sdk-next: + dependencies: + '@ai-sdk/react': + specifier: ^3.0.158 + version: 3.0.158(react@19.2.4)(zod@3.25.76) + '@genkit-ai/google-genai': + specifier: workspace:* + version: link:../../plugins/google-genai + '@genkit-ai/vercel-ai-sdk': + specifier: workspace:* + version: link:../../plugins/vercel-ai-sdk + ai: + specifier: ^6.0.156 + version: 6.0.156(zod@3.25.76) + genkit: + specifier: workspace:* + version: link:../../genkit + next: + specifier: ^15.5.14 + version: 15.5.14(@babel/core@7.29.0)(@opentelemetry/api@1.9.0)(react-dom@19.2.4(react@19.2.4))(react@19.2.4) + react: + specifier: ^19.0.0 + version: 19.2.4 + react-dom: + specifier: ^19.0.0 + version: 19.2.4(react@19.2.4) + zod: + specifier: ^3.24.1 + version: 3.25.76 + devDependencies: + '@types/react': + specifier: ^19.0.0 + version: 19.2.7 + '@types/react-dom': + specifier: ^19.0.0 + version: 19.2.3(@types/react@19.2.7) + rimraf: + specifier: ^6.0.1 + version: 6.1.3 + typescript: + specifier: ^5.9.3 + version: 5.9.3 + testapps/vertexai-modelgarden: dependencies: '@genkit-ai/firebase': @@ -2115,6 +2188,28 @@ importers: packages: + '@ai-sdk/gateway@3.0.95': + resolution: {integrity: sha512-ZmUNNbZl3V42xwQzPaNUi+s8eqR2lnrxf0bvB6YbLXpLjHYv0k2Y78t12cNOfY0bxGeuVVTLyk856uLuQIuXEQ==} + engines: {node: '>=18'} + peerDependencies: + zod: ^3.25.76 || ^4.1.8 + + '@ai-sdk/provider-utils@4.0.23': + resolution: {integrity: sha512-z8GlDaCmRSDlqkMF2f4/RFgWxdarvIbyuk+m6WXT1LYgsnGiXRJGTD2Z1+SDl3LqtFuRtGX1aghYvQLoHL/9pg==} + engines: {node: '>=18'} + peerDependencies: + zod: ^3.25.76 || ^4.1.8 + + '@ai-sdk/provider@3.0.8': + resolution: {integrity: 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ansi-color@0.2.2: - optional: true - ansi-escapes@4.3.2: dependencies: type-fest: 0.21.3 @@ -12049,14 +12142,6 @@ snapshots: base64-js: 1.5.1 ieee754: 1.2.1 - bufrw@1.4.0: - dependencies: - ansi-color: 0.2.2 - error: 7.0.2 - hexer: 1.5.0 - xtend: 4.0.2 - optional: true - bundle-require@5.1.0(esbuild@0.27.4): dependencies: esbuild: 0.27.4 @@ -12500,6 +12585,8 @@ snapshots: depd@2.0.0: {} + dequal@2.0.3: {} + destroy@1.2.0: {} detect-libc@2.1.2: @@ -12597,12 +12684,6 @@ snapshots: dependencies: is-arrayish: 0.2.1 - error@7.0.2: - dependencies: - string-template: 0.2.1 - xtend: 4.0.2 - optional: true - es-abstract@1.24.0: dependencies: array-buffer-byte-length: 1.0.2 @@ -13292,17 +13373,19 @@ snapshots: transitivePeerDependencies: - supports-color - genkit@1.30.1(@google-cloud/firestore@7.11.6(encoding@0.1.13))(encoding@0.1.13)(firebase-admin@13.7.0(encoding@0.1.13))(firebase@11.10.0): + genkit@1.31.0(@google-cloud/firestore@7.11.6(encoding@0.1.13))(encoding@0.1.13)(firebase-admin@13.7.0(encoding@0.1.13))(firebase@11.10.0): dependencies: - '@genkit-ai/ai': 1.30.1(@google-cloud/firestore@7.11.6(encoding@0.1.13))(encoding@0.1.13)(firebase-admin@13.7.0(encoding@0.1.13))(firebase@11.10.0)(genkit@1.30.1(@google-cloud/firestore@7.11.6(encoding@0.1.13))(encoding@0.1.13)(firebase-admin@13.7.0(encoding@0.1.13))(firebase@11.10.0)) - '@genkit-ai/core': 1.30.1(@google-cloud/firestore@7.11.6(encoding@0.1.13))(encoding@0.1.13)(firebase-admin@13.7.0(encoding@0.1.13))(firebase@11.10.0)(genkit@1.30.1(@google-cloud/firestore@7.11.6(encoding@0.1.13))(encoding@0.1.13)(firebase-admin@13.7.0(encoding@0.1.13))(firebase@11.10.0)) + '@genkit-ai/ai': 1.31.0(@google-cloud/firestore@7.11.6(encoding@0.1.13))(encoding@0.1.13)(firebase-admin@13.7.0(encoding@0.1.13))(firebase@11.10.0)(genkit@1.31.0(@google-cloud/firestore@7.11.6(encoding@0.1.13))(encoding@0.1.13)(firebase-admin@13.7.0(encoding@0.1.13))(firebase@11.10.0)) + '@genkit-ai/core': 1.31.0(@google-cloud/firestore@7.11.6(encoding@0.1.13))(encoding@0.1.13)(firebase-admin@13.7.0(encoding@0.1.13))(firebase@11.10.0)(genkit@1.31.0(@google-cloud/firestore@7.11.6(encoding@0.1.13))(encoding@0.1.13)(firebase-admin@13.7.0(encoding@0.1.13))(firebase@11.10.0)) uuid: 10.0.0 transitivePeerDependencies: - '@google-cloud/firestore' + - bufferutil - encoding - firebase - firebase-admin - supports-color + - utf-8-validate optional: true genkitx-openai@0.30.0(genkit@genkit)(ws@8.19.0)(zod@3.25.76): @@ -13553,14 +13636,6 @@ snapshots: heap-js@2.7.1: {} - hexer@1.5.0: - dependencies: - ansi-color: 0.2.2 - minimist: 1.2.8 - process: 0.10.1 - xtend: 4.0.2 - optional: true - highlight.js@10.7.3: {} hono@4.12.7: {} @@ -13943,15 +14018,6 @@ snapshots: optionalDependencies: '@pkgjs/parseargs': 0.11.0 - jaeger-client@3.19.0: - dependencies: - node-int64: 0.4.0 - opentracing: 0.14.7 - thriftrw: 3.11.4 - uuid: 8.3.2 - xorshift: 1.2.0 - optional: true - jake@10.9.4: dependencies: async: 3.2.6 @@ -14614,9 +14680,6 @@ snapshots: long@1.1.5: {} - long@2.4.0: - optional: true - long@5.3.2: {} lru-cache@10.4.3: {} @@ -15000,7 +15063,7 @@ snapshots: chalk: 2.4.2 cross-spawn: 7.0.6 memorystream: 0.3.1 - minimatch: 3.1.2 + minimatch: 3.1.5 pidtree: 0.3.1 read-pkg: 3.0.0 shell-quote: 1.8.3 @@ -15086,9 +15149,6 @@ snapshots: dependencies: yaml: 2.8.0 - opentracing@0.14.7: - optional: true - ora@5.4.1: dependencies: bl: 4.1.0 @@ -15369,9 +15429,6 @@ snapshots: process-nextick-args@2.0.1: {} - process@0.10.1: - optional: true - process@0.11.10: {} progress@2.0.3: {} @@ -16013,9 +16070,6 @@ snapshots: char-regex: 1.0.2 strip-ansi: 6.0.1 - string-template@0.2.1: - optional: true - string-width@4.2.3: dependencies: emoji-regex: 8.0.0 @@ -16152,6 +16206,12 @@ snapshots: supports-preserve-symlinks-flag@1.0.0: {} + swr@2.4.1(react@19.2.4): + dependencies: + dequal: 2.0.3 + react: 19.2.4 + use-sync-external-store: 1.6.0(react@19.2.4) + tar-stream@3.1.8: dependencies: b4a: 1.8.0 @@ -16239,12 +16299,7 @@ snapshots: dependencies: any-promise: 1.3.0 - thriftrw@3.11.4: - dependencies: - bufrw: 1.4.0 - error: 7.0.2 - long: 2.4.0 - optional: true + throttleit@2.1.0: {} through2@2.0.5: dependencies: @@ -16540,6 +16595,10 @@ snapshots: url-template@2.0.8: {} + use-sync-external-store@1.6.0(react@19.2.4): + dependencies: + react: 19.2.4 + util-deprecate@1.0.2: {} util@0.10.4: @@ -16741,9 +16800,6 @@ snapshots: xdg-basedir@4.0.0: {} - xorshift@1.2.0: - optional: true - xtend@4.0.2: {} y18n@5.0.8: {} diff --git a/js/testapps/vercel-ai-sdk-next/.gitignore b/js/testapps/vercel-ai-sdk-next/.gitignore new file mode 100644 index 0000000000..983380352a --- /dev/null +++ b/js/testapps/vercel-ai-sdk-next/.gitignore @@ -0,0 +1,4 @@ +.env.local +.env*.local +.next/ +node_modules/ diff --git a/js/testapps/vercel-ai-sdk-next/README.md b/js/testapps/vercel-ai-sdk-next/README.md new file mode 100644 index 0000000000..fd60ba514b --- /dev/null +++ b/js/testapps/vercel-ai-sdk-next/README.md @@ -0,0 +1,90 @@ +# vercel-ai-sdk-next + +Sample Next.js app demonstrating the `@genkit-ai/vercel-ai-sdk` plugin. Shows how to wire Genkit flows to the Vercel AI SDK UI hooks using the three adapter handlers. + +## What's demonstrated + +| Page | Hook | Handler | Flow | +|------|------|---------|------| +| `/chat` | `useChat` | `chatHandler` | Multi-turn chat with streaming text via `MessagesSchema` + `StreamChunkSchema` | +| `/completion` | `useCompletion` | `completionHandler` | Single-turn text completion with SSE streaming | +| `/object` | `useObject` | `objectHandler` | Structured JSON streaming — generates typed notification objects in real time | + +## Prerequisites + +- **Node.js** v18+ +- **pnpm** +- A **Gemini API key** — get one at [aistudio.google.com](https://aistudio.google.com) + +## Setup + +From the repo root, install all workspace dependencies: + +```bash +pnpm install +``` + +Set your API key: + +```bash +export GEMINI_API_KEY=your_api_key_here +``` + +## Run + +```bash +cd js/testapps/vercel-ai-sdk-next +pnpm dev +``` + +The app starts at [http://localhost:3000](http://localhost:3000). + +## Project structure + +``` +src/ + app/ + api/ + chat/route.ts # POST handler using chatHandler() + completion/route.ts # POST handler using completionHandler() + object/route.ts # POST handler using objectHandler() + chat/page.tsx # useChat demo UI + completion/page.tsx # useCompletion demo UI + object/page.tsx # useObject demo UI + genkit/ + index.ts # Genkit + googleAI plugin initialization + chat.ts # chatFlow: MessagesSchema + StreamChunkSchema + completion.ts # completionFlow: z.string() stream + object.ts # notificationsFlow: structured JSON streaming + schemas.ts # Shared Zod schemas (NotificationsSchema) +``` + +## How it works + +Each API route is a one-liner that wraps a Genkit flow: + +```ts +// src/app/api/chat/route.ts +import { chatHandler } from '@genkit-ai/vercel-ai-sdk'; +import { chatFlow } from '@/genkit/chat'; + +export const POST = chatHandler(chatFlow); +``` + +The flow defines its input and stream schemas using types from the plugin: + +```ts +// src/genkit/chat.ts +export const chatFlow = ai.defineFlow( + { + inputSchema: MessagesSchema, // receives UIMessage[] converted to Genkit format + streamSchema: StreamChunkSchema, // drives the full useChat protocol + outputSchema: FlowOutputSchema, // surfaces finishReason + usage + }, + async (input, { sendChunk }) => { ... } +); +``` + +## License + +Apache 2.0 diff --git a/js/testapps/vercel-ai-sdk-next/package.json b/js/testapps/vercel-ai-sdk-next/package.json new file mode 100644 index 0000000000..972f735862 --- /dev/null +++ b/js/testapps/vercel-ai-sdk-next/package.json @@ -0,0 +1,28 @@ +{ + "name": "vercel-ai-sdk-next-sample", + "type": "module", + "version": "0.0.1-dev.1", + "description": "Sample Next.js app demonstrating @genkit-ai/vercel-ai-sdk adapters with useChat, useCompletion, and useObject", + "scripts": { + "dev": "next dev", + "build": "next build", + "start": "next start" + }, + "dependencies": { + "@genkit-ai/google-genai": "workspace:*", + "@genkit-ai/vercel-ai-sdk": "workspace:*", + "@ai-sdk/react": "^3.0.158", + "ai": "^6.0.156", + "genkit": "workspace:*", + "next": "^15.5.14", + "react": "^19.0.0", + "react-dom": "^19.0.0", + "zod": "^3.24.1" + }, + "devDependencies": { + "@types/react": "^19.0.0", + "@types/react-dom": "^19.0.0", + "rimraf": "^6.0.1", + "typescript": "^5.9.3" + } +} diff --git a/js/testapps/vercel-ai-sdk-next/src/app/api/chat/route.ts b/js/testapps/vercel-ai-sdk-next/src/app/api/chat/route.ts new file mode 100644 index 0000000000..dca07bd8da --- /dev/null +++ b/js/testapps/vercel-ai-sdk-next/src/app/api/chat/route.ts @@ -0,0 +1,33 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import { chatFlow } from '@/genkit/chat'; +import { chatHandler } from '@genkit-ai/vercel-ai-sdk'; + +/** + * useChat endpoint. + * + * The chatHandler adapter: + * 1. Parses the UIMessage[] from the request body + * 2. Converts them to Genkit MessageData[] via toGenkitMessages() + * 3. Streams the flow output as Vercel AI SDK data-stream SSE events + * + * Client usage: + * const { messages, input, handleInputChange, handleSubmit } = useChat({ + * api: '/api/chat', + * }); + */ +export const POST = chatHandler(chatFlow); diff --git a/js/testapps/vercel-ai-sdk-next/src/app/api/completion/route.ts b/js/testapps/vercel-ai-sdk-next/src/app/api/completion/route.ts new file mode 100644 index 0000000000..cd412fb202 --- /dev/null +++ b/js/testapps/vercel-ai-sdk-next/src/app/api/completion/route.ts @@ -0,0 +1,35 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import { completionFlow } from '@/genkit/completion'; +import { completionHandler } from '@genkit-ai/vercel-ai-sdk'; + +/** + * useCompletion endpoint — SSE data-stream mode (default). + * + * The completionHandler adapter: + * 1. Reads { prompt: string } from the POST body + * 2. Streams text/typed chunks as Vercel AI SDK data-stream SSE events + * + * Client usage: + * const { completion, input, handleInputChange, handleSubmit } = useCompletion({ + * api: '/api/completion', + * }); + * + * To use plain text streaming instead, set streamProtocol: 'text' in + * both completionHandler options and the useCompletion client options. + */ +export const POST = completionHandler(completionFlow); diff --git a/js/testapps/vercel-ai-sdk-next/src/app/api/object/route.ts b/js/testapps/vercel-ai-sdk-next/src/app/api/object/route.ts new file mode 100644 index 0000000000..3e408e855f --- /dev/null +++ b/js/testapps/vercel-ai-sdk-next/src/app/api/object/route.ts @@ -0,0 +1,37 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import { notificationsFlow } from '@/genkit/object'; +import { objectHandler } from '@genkit-ai/vercel-ai-sdk'; + +/** + * useObject endpoint. + * + * The objectHandler adapter: + * 1. Parses any JSON from the POST body and passes it as flow input + * 2. Streams raw text/plain JSON fragments from the flow's streamingCallback + * + * useObject reassembles the fragments incrementally and updates the + * partial object in the UI as the stream arrives. + * + * Client usage: + * const { object, submit, isLoading } = useObject({ + * api: '/api/object', + * schema: NotificationsSchema, + * }); + * submit({ topic: 'weather' }); + */ +export const POST = objectHandler(notificationsFlow); diff --git a/js/testapps/vercel-ai-sdk-next/src/app/chat/page.tsx b/js/testapps/vercel-ai-sdk-next/src/app/chat/page.tsx new file mode 100644 index 0000000000..d067bdfada --- /dev/null +++ b/js/testapps/vercel-ai-sdk-next/src/app/chat/page.tsx @@ -0,0 +1,181 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +'use client'; + +/** + * useChat demo + * + * Server: src/app/api/chat/route.ts → chatHandler(chatFlow) + * Flow: src/genkit/chat.ts → MessagesSchema + StreamChunkSchema + * + * Demonstrates: + * - Text streaming via toStreamChunks() + * - Tool calls: ask "What's the weather in Tokyo?" to trigger getWeather + * - Custom data chunks: token usage displayed below each assistant message + * - Reasoning parts (if the model emits extended thinking) + */ + +import { useChat } from '@ai-sdk/react'; +import { useState } from 'react'; + +type Part = { type: string; [key: string]: unknown }; + +function MessageParts({ parts }: { parts: Part[] }) { + return ( + <> + {parts.map((p, i) => { + if (p.type === 'text') { + return ( + + {p.text as string} + + ); + } + if (p.type === 'reasoning') { + return ( +
+ Reasoning + 
+                {p.reasoning as string}
+
+
+ ); + } + if (p.type === 'tool-invocation') { + const ti = p.toolInvocation as { + toolName: string; + state: string; + args?: unknown; + result?: unknown; + }; + return ( +
+ {ti.toolName} + {ti.state === 'result' ? ( + <> + ({JSON.stringify(ti.args)}) →{' '} + + {JSON.stringify(ti.result)} + + + ) : ( + (calling…) + )} +
+ ); + } + return null; + })} + + ); +} + +export default function ChatPage() { + const [input, setInput] = useState(''); + const { messages, sendMessage, status, data } = useChat({ + api: '/api/chat', + } as any); + + const isLoading = status === 'streaming' || status === 'submitted'; + + // Latest usage data from custom `data` chunks emitted by the flow. + const latestUsage = (data as unknown[]) + ?.filter( + (d): d is { type: string; value: Record } => + typeof d === 'object' && + d !== null && + (d as Record).type === 'usage' + ) + .at(-1)?.value; + + function handleSubmit(e: React.FormEvent) { + e.preventDefault(); + const text = input.trim(); + if (!text) return; + setInput(''); + void sendMessage({ text }); + } + + return ( +
+ + +

useChat demo

+

+ Backed by chatHandler + StreamChunkSchema. + Try: “What's the weather in Tokyo?” to trigger + a tool call. +

+ +
+ {messages.length === 0 && ( + + No messages yet — say something! + + )} + {messages.map((m) => ( +
+ {m.role} + + + +
+ ))} + {isLoading && ( +
+ assistant + + Thinking… + +
+ )} +
+ + {latestUsage && ( +

+ Tokens — in: {latestUsage.inputTokens ?? '?'} / out:{' '} + {latestUsage.outputTokens ?? '?'} +

+ )} + +
+ setInput(e.target.value)} + placeholder="Type a message…" + disabled={isLoading} + /> + +
+
+ ); +} diff --git a/js/testapps/vercel-ai-sdk-next/src/app/completion/page.tsx b/js/testapps/vercel-ai-sdk-next/src/app/completion/page.tsx new file mode 100644 index 0000000000..18eaf0916f --- /dev/null +++ b/js/testapps/vercel-ai-sdk-next/src/app/completion/page.tsx @@ -0,0 +1,74 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +'use client'; + +/** + * useCompletion demo + * + * Server: src/app/api/completion/route.ts → completionHandler(completionFlow) + * Flow: src/genkit/completion.ts → z.string() + z.string() stream + * + * useCompletion POSTs { prompt: string } to /api/completion and streams the + * response text delta-by-delta. The adapter wraps each delta in the Vercel + * AI SDK data-stream SSE format. + * + * To switch to plain-text streaming: + * 1. Add streamProtocol: 'text' to the useCompletion options below. + * 2. Add streamProtocol: 'text' to completionHandler options in route.ts. + */ + +import { useCompletion } from '@ai-sdk/react'; + +export default function CompletionPage() { + const { completion, input, handleInputChange, handleSubmit, isLoading } = + useCompletion({ api: '/api/completion' }); + + return ( +
+ + +

useCompletion demo

+

+ Backed by completionHandler + a Genkit flow with{' '} + inputSchema: z.string(). Reads the prompt{' '} + field and streams plain text deltas. +

+ +
+ + +
+ +
+ {completion || ( + Output will appear here… + )} +
+
+ ); +} diff --git a/js/testapps/vercel-ai-sdk-next/src/app/globals.css b/js/testapps/vercel-ai-sdk-next/src/app/globals.css new file mode 100644 index 0000000000..43482b591a --- /dev/null +++ b/js/testapps/vercel-ai-sdk-next/src/app/globals.css @@ -0,0 +1,201 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +* { + box-sizing: border-box; + margin: 0; + padding: 0; +} + +body { + background: #f8f9fa; + color: #1a1a1a; + font-family: + system-ui, + -apple-system, + sans-serif; + line-height: 1.5; +} + +a { + color: #0070f3; + text-decoration: none; +} +a:hover { + text-decoration: underline; +} + +.container { + margin: 0 auto; + max-width: 720px; + padding: 2rem 1rem; +} + +h1 { + font-size: 1.75rem; + margin-bottom: 0.5rem; +} +h2 { + color: #444; + font-size: 1.25rem; + margin-bottom: 1rem; +} +p { + color: #555; + margin-bottom: 1rem; +} + +nav { + display: flex; + gap: 1rem; + margin-bottom: 2rem; +} +nav a { + background: #0070f3; + border-radius: 6px; + color: white; + font-size: 0.9rem; + padding: 0.4rem 0.9rem; +} +nav a:hover { + background: #005bb5; + text-decoration: none; +} + +/* Chat */ +.messages { + background: white; + border: 1px solid #ddd; + border-radius: 8px; + display: flex; + flex-direction: column; + gap: 0.75rem; + margin-bottom: 1rem; + max-height: 400px; + min-height: 200px; + overflow-y: auto; + padding: 1rem; +} + +.message { + display: flex; + flex-direction: column; + gap: 0.2rem; +} +.message .role { + color: #888; + font-size: 0.75rem; + font-weight: 600; + letter-spacing: 0.05em; + text-transform: uppercase; +} +.message.user .role { + color: #0070f3; +} +.message.assistant .role { + color: #444; +} +.message .text { + white-space: pre-wrap; +} + +/* Input row */ +.input-row { + display: flex; + gap: 0.5rem; +} + +.input-row input, +.input-row textarea { + background: white; + border: 1px solid #ddd; + border-radius: 6px; + flex: 1; + font-size: 1rem; + padding: 0.6rem 0.8rem; +} + +button { + background: #0070f3; + border: none; + border-radius: 6px; + color: white; + cursor: pointer; + font-size: 1rem; + padding: 0.6rem 1.2rem; + white-space: nowrap; +} +button:hover { + background: #005bb5; +} +button:disabled { + background: #aaa; + cursor: default; +} + +/* Completion output */ +.output { + background: white; + border: 1px solid #ddd; + border-radius: 8px; + color: #333; + font-size: 0.95rem; + margin-top: 1rem; + min-height: 80px; + padding: 1rem; + white-space: pre-wrap; +} + +/* Object cards */ +.cards { + display: flex; + flex-direction: column; + gap: 0.75rem; + margin-top: 1rem; +} + +.card { + align-items: flex-start; + background: white; + border: 1px solid #ddd; + border-radius: 8px; + display: flex; + gap: 0.75rem; + padding: 1rem; +} + +.card .icon { + flex-shrink: 0; + font-size: 2rem; + line-height: 1; +} +.card .card-body { + flex: 1; +} +.card .card-title { + font-weight: 600; + margin-bottom: 0.2rem; +} +.card .card-text { + color: #555; + font-size: 0.9rem; +} + +.status { + color: #888; + font-size: 0.85rem; + margin-top: 0.5rem; +} diff --git a/js/testapps/vercel-ai-sdk-next/src/app/layout.tsx b/js/testapps/vercel-ai-sdk-next/src/app/layout.tsx new file mode 100644 index 0000000000..e462655c83 --- /dev/null +++ b/js/testapps/vercel-ai-sdk-next/src/app/layout.tsx @@ -0,0 +1,35 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import type { Metadata } from 'next'; +import './globals.css'; + +export const metadata: Metadata = { + title: '@genkit-ai/vercel-ai-sdk demos', + description: 'useChat, useCompletion, and useObject with Genkit flows', +}; + +export default function RootLayout({ + children, +}: { + children: React.ReactNode; +}) { + return ( + + {children} + + ); +} diff --git a/js/testapps/vercel-ai-sdk-next/src/app/object/page.tsx b/js/testapps/vercel-ai-sdk-next/src/app/object/page.tsx new file mode 100644 index 0000000000..de9b78a41a --- /dev/null +++ b/js/testapps/vercel-ai-sdk-next/src/app/object/page.tsx @@ -0,0 +1,101 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +'use client'; + +/** + * useObject demo + * + * Server: src/app/api/object/route.ts → objectHandler(notificationsFlow) + * Flow: src/genkit/object.ts → { topic } input + z.string() stream + * + * The objectHandler adapter streams raw JSON text fragments. useObject + * reassembles them incrementally using the provided Zod schema, updating + * `object` as each fragment arrives. The UI renders partial data in real time. + * + * Note: errors that happen mid-stream cannot be surfaced cleanly to the client + * because the useObject protocol uses raw text/plain with no error channel. + * Pre-stream errors (auth failures, bad input) still return a non-2xx status. + */ + +import { NotificationsSchema, type Notification } from '@/schemas'; +import { experimental_useObject as useObject } from '@ai-sdk/react'; +import { useState } from 'react'; + +export default function ObjectPage() { + const [topic, setTopic] = useState(''); + + const { object, submit, isLoading } = useObject({ + api: '/api/object', + schema: NotificationsSchema, + }); + + function handleSubmit(e: React.FormEvent) { + e.preventDefault(); + if (topic.trim()) submit({ topic: topic.trim() }); + } + + return ( +
+ + +

useObject demo

+

+ Backed by objectHandler + a Genkit flow that streams raw + JSON fragments. useObject reassembles them incrementally — + cards appear and fill in as the stream arrives. +

+ +
+ setTopic(e.target.value)} + placeholder="Notification topic (e.g. weather, fitness, news)…" + disabled={isLoading} + /> + +
+ + {object?.notifications && object.notifications.length > 0 ? ( +
+ {object.notifications.map( + (n: Partial | undefined, i: number) => ( +
+ {n?.icon ?? '🔔'} +
+
{n?.title ?? '…'}
+
{n?.body ?? ''}
+
+
+ ) + )} +
+ ) : ( + !isLoading && ( +

Enter a topic and click Generate.

+ ) + )} + + {isLoading &&

Generating notifications…

} +
+ ); +} diff --git a/js/testapps/vercel-ai-sdk-next/src/app/page.tsx b/js/testapps/vercel-ai-sdk-next/src/app/page.tsx new file mode 100644 index 0000000000..edd6434711 --- /dev/null +++ b/js/testapps/vercel-ai-sdk-next/src/app/page.tsx @@ -0,0 +1,58 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +export default function Home() { + return ( +
+

@genkit-ai/vercel-ai-sdk demos

+

+ These demos show how to use Genkit flows as backends for the Vercel AI + SDK UI hooks. Each page has a live demo and links to the relevant source + files. +

+

+ Set GEMINI_API_KEY before running pnpm dev. +

+ + + +

How it works

+

+ chatHandler — wraps a Genkit flow that uses{' '} + MessagesSchema as inputSchema and{' '} + StreamChunkSchema as streamSchema. Converts + UIMessage history on every request and streams all Vercel AI SDK + data-stream event types (text, reasoning, tools, citations, step + markers, custom data). +

+

+ completionHandler — wraps a flow with{' '} + inputSchema: z.string(). Reads the prompt{' '} + field and streams plain text deltas or rich chunks. Supports both SSE + and streamProtocol: 'text' mode. +

+

+ objectHandler — wraps a flow that streams raw JSON text + fragments. useObject reassembles them into a typed partial + object in real time. +

+
+ ); +} diff --git a/js/testapps/vercel-ai-sdk-next/src/genkit/chat.ts b/js/testapps/vercel-ai-sdk-next/src/genkit/chat.ts new file mode 100644 index 0000000000..f78179c6ea --- /dev/null +++ b/js/testapps/vercel-ai-sdk-next/src/genkit/chat.ts @@ -0,0 +1,101 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import { + FlowOutputSchema, + MessagesSchema, + StreamChunkSchema, + toFlowOutput, + toStreamChunks, +} from '@genkit-ai/vercel-ai-sdk'; +import { z } from 'genkit'; +import { ai } from './index'; + +/** + * A toy weather tool that the model can call. The result is fed back to the + * model automatically by Genkit's multi-step generate loop, exercising the + * tool-request → tool-result path through toStreamChunks(). + */ +const getWeather = ai.defineTool( + { + name: 'getWeather', + description: 'Get the current weather conditions for a city.', + inputSchema: z.object({ city: z.string().describe('City name') }), + outputSchema: z.object({ + temperatureC: z.number(), + condition: z.string(), + }), + }, + async ({ city }) => { + // Simulated — replace with a real API call as needed. + const conditions = ['sunny', 'cloudy', 'rainy', 'windy']; + return { + temperatureC: 15 + Math.floor(Math.abs(city.charCodeAt(0)) % 20), + condition: conditions[city.charCodeAt(0) % conditions.length], + }; + } +); + +/** + * Chat flow for use with chatHandler + useChat. + * + * inputSchema: MessagesSchema — receives the full conversation history + * (already converted from UIMessage[] by chatHandler). + * streamSchema: StreamChunkSchema — drives the full useChat protocol + * (text, reasoning, tools, citations, step markers, etc.). + * outputSchema: FlowOutputSchema — populates finish event with + * finishReason and token usage. + * + * Demonstrates: + * - toStreamChunks() for text, reasoning, and tool-request/tool-result chunks + * - A custom `data` chunk carrying model metadata on every response + */ +export const chatFlow = ai.defineFlow( + { + name: 'chat', + inputSchema: MessagesSchema, + outputSchema: FlowOutputSchema, + streamSchema: StreamChunkSchema, + }, + async (input, { sendChunk }) => { + const { stream, response } = ai.generateStream({ + system: + 'You are a helpful assistant. Be concise. ' + + 'You have access to a getWeather tool — use it when weather is mentioned.', + messages: input.messages, + tools: [getWeather], + }); + + for await (const chunk of stream) { + for (const c of toStreamChunks(chunk)) { + sendChunk(c); + } + } + + const res = await response; + + // Emit a custom data chunk with usage metadata so the client can display it. + if (res.usage) { + sendChunk({ + type: 'data', + id: 'usage', + value: res.usage, + }); + } + + return toFlowOutput(res); + } +); diff --git a/js/testapps/vercel-ai-sdk-next/src/genkit/completion.ts b/js/testapps/vercel-ai-sdk-next/src/genkit/completion.ts new file mode 100644 index 0000000000..fbdb7b261c --- /dev/null +++ b/js/testapps/vercel-ai-sdk-next/src/genkit/completion.ts @@ -0,0 +1,55 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import { + FlowOutputSchema, + StreamChunkSchema, + toFlowOutput, + toStreamChunks, +} from '@genkit-ai/vercel-ai-sdk'; +import { z } from 'genkit'; +import { ai } from './index'; + +/** + * Completion flow for use with completionHandler + useCompletion. + * + * inputSchema: z.string() — the raw prompt string sent by useCompletion. + * streamSchema: StreamChunkSchema — typed chunks for the full SSE protocol. + * outputSchema: FlowOutputSchema — finishReason + usage for the finish event. + * + * Extra fields sent by the client via useCompletion({ body: {...} }) are + * available in the flow's context (set by completionHandler's contextProvider). + * Access them via ai.currentContext() or pass them to ai.generateStream(). + */ +export const completionFlow = ai.defineFlow( + { + name: 'completion', + inputSchema: z.string(), + outputSchema: FlowOutputSchema, + streamSchema: StreamChunkSchema, + }, + async (prompt, { sendChunk }) => { + const { stream, response } = ai.generateStream(prompt); + + for await (const chunk of stream) { + for (const sc of toStreamChunks(chunk)) { + sendChunk(sc); + } + } + + return toFlowOutput(await response); + } +); diff --git a/js/testapps/vercel-ai-sdk-next/src/genkit/index.ts b/js/testapps/vercel-ai-sdk-next/src/genkit/index.ts new file mode 100644 index 0000000000..a81d372e6c --- /dev/null +++ b/js/testapps/vercel-ai-sdk-next/src/genkit/index.ts @@ -0,0 +1,27 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import { googleAI } from '@genkit-ai/google-genai'; +import { genkit } from 'genkit'; +import { disableOTelRootSpanDetection } from 'genkit/tracing'; + +// Suppress "root span" warnings in Next.js dev mode. +disableOTelRootSpanDetection(); + +export const ai = genkit({ + plugins: [googleAI()], + model: googleAI.model('gemini-flash-latest'), +}); diff --git a/js/testapps/vercel-ai-sdk-next/src/genkit/object.ts b/js/testapps/vercel-ai-sdk-next/src/genkit/object.ts new file mode 100644 index 0000000000..eea4534643 --- /dev/null +++ b/js/testapps/vercel-ai-sdk-next/src/genkit/object.ts @@ -0,0 +1,58 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import { z } from 'genkit'; +import { NotificationsSchema } from '../schemas'; +import { ai } from './index'; + +export { NotificationsSchema }; + +/** + * Object flow for use with objectHandler + useObject. + * + * inputSchema: z.object({ topic: z.string() }) — the POST body from useObject. + * outputSchema: NotificationsSchema — the final structured value. + * streamSchema: z.string() — raw JSON text fragments. + * + * Each sendChunk call emits a fragment of the final JSON string. useObject + * reassembles fragments incrementally and updates the partial object in the UI. + */ +export const notificationsFlow = ai.defineFlow( + { + name: 'notifications', + inputSchema: z.object({ topic: z.string() }), + outputSchema: NotificationsSchema, + streamSchema: z.string(), + }, + async ({ topic }, { sendChunk }) => { + const { stream, response } = ai.generateStream({ + output: { schema: NotificationsSchema }, + prompt: `Generate 3 mobile app notifications about: "${topic}". +Return ONLY valid JSON (no markdown, no explanation) matching this structure: +{"notifications":[{"title":"...","body":"...","icon":""}]} +Use a single relevant emoji for the icon field.`, + }); + + for await (const chunk of stream) { + if (chunk.text) { + sendChunk(chunk.text); + } + } + + const text = (await response).text.replace(/```json\n?|\n?```/g, '').trim(); + return JSON.parse(text) as z.infer; // eslint-disable-line @typescript-eslint/no-unsafe-return + } +); diff --git a/js/testapps/vercel-ai-sdk-next/src/schemas.ts b/js/testapps/vercel-ai-sdk-next/src/schemas.ts new file mode 100644 index 0000000000..aee78450f5 --- /dev/null +++ b/js/testapps/vercel-ai-sdk-next/src/schemas.ts @@ -0,0 +1,29 @@ +/** + * Copyright 2025 Google LLC + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +import { z } from 'zod'; + +export const NotificationSchema = z.object({ + icon: z.string().optional(), + title: z.string(), + body: z.string(), +}); + +export type Notification = z.infer; + +export const NotificationsSchema = z.object({ + notifications: z.array(NotificationSchema), +}); diff --git a/js/testapps/vercel-ai-sdk-next/tsconfig.json b/js/testapps/vercel-ai-sdk-next/tsconfig.json new file mode 100644 index 0000000000..bfe360674f --- /dev/null +++ b/js/testapps/vercel-ai-sdk-next/tsconfig.json @@ -0,0 +1,22 @@ +{ + "compilerOptions": { + "target": "es2017", + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "preserve", + "incremental": true, + "plugins": [{ "name": "next" }], + "baseUrl": ".", + "paths": { "@/*": ["src/*"] } + }, + "include": ["src", ".next/types/**/*.ts"], + "exclude": ["node_modules"] +} diff --git a/js/testapps/vercel-ai-sdk-next/tsconfig.tsbuildinfo b/js/testapps/vercel-ai-sdk-next/tsconfig.tsbuildinfo new file mode 100644 index 0000000000..54383ea1d4 --- /dev/null +++ b/js/testapps/vercel-ai-sdk-next/tsconfig.tsbuildinfo @@ -0,0 +1 @@ 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