Move examples to openuiLibrary and lang-core cloud prompts

docs/content/docs/openui-lang/examples/harnesses/pi.mdx

@@ -3,7 +3,7 @@ title: pi Agent Harness
 description: Chat with the pi coding agent (a real read/bash/edit/write agent) and get its answers as live generative UI, bridged through the pi SDK over an OpenAI-compatible stream.
 ---
 
-Anything that can stream text can drive OpenUI's renderer, including a full **coding agent**. This example connects [pi](https://www.npmjs.com/package/@earendil-works/pi-coding-agent) (`@earendil-works/pi-coding-agent`), running its default `read` / `bash` / `edit` / `write` tools, to `<AgentInterface>`. Pi calls **OpenUI Cloud** Completions; `generateSystemPrompt()` is appended so it emits [OpenUI Lang](/docs/openui-lang/overview) for Cloud `chatLibrary` instead of markdown.
+Anything that can stream text can drive OpenUI's renderer, including a full **coding agent**. This example connects [pi](https://www.npmjs.com/package/@earendil-works/pi-coding-agent) (`@earendil-works/pi-coding-agent`), running its default `read` / `bash` / `edit` / `write` tools, to `<AgentInterface>`. Pi calls **OpenUI Cloud** Completions; `generateSystemPrompt({ cloud: true })` is appended so it emits [OpenUI Lang](/docs/openui-lang/overview) for `openuiLibrary` instead of markdown.
 
 Its mid-turn activity (reasoning and tool runs) surfaces as cards too.
 
@@ -26,9 +26,9 @@ Its mid-turn activity (reasoning and tool runs) surfaces as cards too.
 
 | Piece | File | Role |
 | --- | --- | --- |
-| Frontend | `src/app/page.tsx` | A single `<AgentInterface>` wired with `fetchLLM({ streamAdapter: openAIReadableStreamAdapter(), messageFormat: openAIMessageFormat })` and Cloud `chatLibrary`. |
+| Frontend | `src/app/page.tsx` | A single `<AgentInterface>` wired with `fetchLLM({ streamAdapter: openAIReadableStreamAdapter(), messageFormat: openAIMessageFormat })` and `openuiLibrary`. |
 | Bridge route | `src/app/api/chat/route.ts` | Drives a pi `AgentSession` against OpenUI Cloud Completions and re-emits its events as NDJSON OpenAI chunks (`delta.content` is OpenUI Lang). |
-| Session registry | `src/lib/pi-session.ts` | One persistent `AgentSession` per chat thread, keyed by `threadId`. Injects `generateSystemPrompt()` and the Cloud model. |
+| Session registry | `src/lib/pi-session.ts` | One persistent `AgentSession` per chat thread, keyed by `threadId`. Injects `generateSystemPrompt({ cloud: true })` and the Cloud model. |
 | Agent | `@earendil-works/pi-coding-agent` | The pi coding agent: `read` / `bash` / `edit` / `write` on the workspace you choose at launch. |
 
 Everything runs in **one Next.js process**: the App-Router route _is_ the backend. The pi SDK is embedded directly (no separate server), so there is no second service and no CORS. Each chat thread maps to one persistent pi `AgentSession`, so multi-turn context is preserved.
@@ -44,7 +44,7 @@ import {
   openAIMessageFormat,
   openAIReadableStreamAdapter,
 } from "@openuidev/react-ui";
-import { chatLibrary } from "@openuidev/thesys";
+import { openuiLibrary } from "@openuidev/react-ui/genui-lib";
 
 const llm = fetchLLM({
   url: "/api/chat",
@@ -54,12 +54,12 @@ const llm = fetchLLM({
 
 <AgentInterface
   llm={llm}
-  componentLibrary={chatLibrary}
+  componentLibrary={openuiLibrary}
   agentName="OpenUI Agent Harness"
 />;
 ```
 
-`generateSystemPrompt()` from `@openuidev/thesys-server` is the **same** Cloud chat-library sentinel Pi sends on Completions, so the model's markup matches `chatLibrary`.
+`generateSystemPrompt({ cloud: true })` from `@openuidev/lang-core` is the **same** Cloud library sentinel Pi sends on Completions, so the model's markup matches `openuiLibrary`.
 
 ## The bridge route
 

examples/agent-frameworks/google-adk/README.md

@@ -13,16 +13,14 @@ An [OpenUI](https://openui.com) example showing how to wire a
   supplies a `BaseLlm`
 - Bridging ADK's `runAsync` event stream into AG-UI SSE (`TEXT_MESSAGE_*`,
   `TOOL_CALL_START`/`ARGS`/`END`/`RESULT`) so OpenUI's `agUIAdapter()` can parse them
-- Rendering streamed OpenUI Lang with `<AgentInterface />` and Cloud's
-  `chatLibrary`
+- Rendering streamed OpenUI Lang with `<AgentInterface />` and `openuiLibrary`
 
 ## Getting started
 
-1. Create a `.env.local` file with your OpenUI Cloud key
-   (https://console.thesys.dev/keys):
+1. Mint an OpenUI Cloud key into `.env.local`:
 
    ```bash
-   echo "THESYS_API_KEY=sk-th-your-key-here" > .env.local
+   pnpm generate:apiKey
    ```
 
 2. Install dependencies from this example directory:
@@ -43,7 +41,8 @@ Open [http://localhost:3000](http://localhost:3000) and try a starter such as
 ## How it works
 
 - `src/agent.ts` defines the `get_weather` tool and a `createAgent()` builder.
-  The instruction is Cloud's `generateSystemPrompt()`. The model is Cloud's
+  The instruction is `cloudInstructions()`, which reads the generated
+  `openuiLibrary` spec. The model is Cloud's
   Gemini (`google/gemini-3.6-flash-free`).
 - `src/app/api/chat/route.ts` runs the agent with a `Runner` and keys ADK
   sessions by chat `threadId` (so multi-turn history is preserved).