📖 DOC: Lingo

README.md

@@ -1,3 +1,120 @@
-# ⌘ Langbase AI SDK
+# Langbase SDK
 
-⌘ Langbase AI SDK for JavaScript, TypeScript, and Python.
+The AI SDK for building declarative and composable AI-powered LLM products.
+
+## Documentation
+
+Check the [Langbase SDK documentation](https://langbase.com/docs/langbase-sdk/overview) for more details.
+
+The following examples are for reference only. Prefer docs for the latest information.
+
+## Getting Started with `langbase` SDK
+
+### Installation
+
+First, install the `langbase` package using npm or yarn:
+
+```bash
+npm install langbase
+```
+
+or
+
+```bash
+pnpm add langbase
+```
+
+or
+
+```bash
+yarn add langbase
+```
+
+### Usage
+
+You can [`generateText`](https://langbase.com/docs/langbase-sdk/generate-text) or [`streamText`](https://langbase.com/docs/langbase-sdk/stream-text) based on the type of a pipe.
+
+Check our [SDK documentation](https://langbase.com/docs/langbase-sdk/overview) for more details.
+
+### Example projects
+
+Check the following examples:
+
+- [Node: Generate Text](https://github.com/LangbaseInc/langbase-sdk/blob/main/examples/everything/generate-text.ts)
+- [Node: Stream Text](https://github.com/LangbaseInc/langbase-sdk/blob/main/examples/everything/stream-text.ts)
+- [Next.js Example](https://github.com/LangbaseInc/langbase-sdk/tree/main/examples/nextjs)
+  - TypeScript code
+  - [React component](https://github.com/LangbaseInc/langbase-sdk/tree/main/examples/nextjs/components/langbase) to display the response
+  - [API Route handlers](https://github.com/LangbaseInc/langbase-sdk/tree/main/examples/nextjs/app/api/langbase/pipe) to send requests to ⌘ Langbase
+
+### Node.js Example Code
+
+
+## Node.js Examples
+
+### Add a `.env` file with your Pipe API key
+
+```bash
+# Add your Pipe API key here.
+LANGBASE_PIPE_API_KEY="pipe_12345`"
+```
+
+---
+
+### Generate text [`generateText()`](https://langbase.com/docs/langbase-sdk/generate-text)
+
+For more check the API reference of [`generateText()`](https://langbase.com/docs/langbase-sdk/generate-text)
+
+```ts
+import 'dotenv/config';
+import {Pipe} from 'langbase';
+
+// 1. Initiate the Pipe.
+const pipe = new Pipe({
+	// Make sure you have a .env file with any pipe you wanna use.
+	// As a demo we're using a pipe that has less wordy responses.
+	apiKey: process.env.LANGBASE_PIPE_API_KEY!,
+});
+
+// 3. Generate the text by asking a question.
+const result = await pipe.generateText({
+	messages: [{role: 'user', content: 'Who is an AI Engineer?'}],
+});
+
+// 4. Done: You got the generated completion.
+console.log(result.completion);
+```
+
+---
+
+### Stream text [`streamText()`](https://langbase.com/docs/langbase-sdk/stream-text)
+
+For more check the API reference of [`streamText()`](https://langbase.com/docs/langbase-sdk/stream-text)
+
+```ts
+import 'dotenv/config';
+import {Pipe} from 'langbase';
+
+// 1. Initiate the Pipe.
+const pipe = new Pipe({
+	// Make sure you have a .env file with any pipe you wanna use.
+	// As a demo we're using a pipe that has less wordy responses.
+	apiKey: process.env.LANGBASE_PIPE_API_KEY!,
+});
+
+// 2. Generate a stream by asking a question
+const stream = await pipe.streamText({
+	messages: [{role: 'user', content: 'Who is an AI Engineer?'}],
+});
+
+// 3. Print the stream
+for await (const chunk of stream) {
+	// Streaming text part — a single word or several.
+	const textPart = chunk.choices[0]?.delta?.content || '';
+
+	// Demo: Print the stream — you can use it however.
+	process.stdout.write(textPart);
+}
+```
+
+Check out [more examples in the docs](https://langbase.com/docs/langbase-sdk/examples) →

packages/langbase/readme.md

@@ -1,6 +1,6 @@
 # Langbase SDK
 
-The AI framework for building declarative and composable AI-powered LLM products.
+The AI SDK for building declarative and composable AI-powered LLM products.
 
 ## Documentation