👌 IMPROVE: Example docs

examples/everything/generate-text.ts

@@ -0,0 +1,18 @@
+import 'dotenv/config';
+import {Pipe} from 'langbase';
+
+// STREAM: OFF
+console.log('STREAM-OFF: generateText()');
+
+// 1. Initiate the Pipe.
+const pipeStreamOff = new Pipe({
+	apiKey: process.env.PIPE_LESS_WORDY!,
+});
+
+// 3. Generate the text by asking a question.
+const result = await pipeStreamOff.generateText({
+	messages: [{role: 'user', content: 'Who is an AI Engineer?'}],
+});
+
+// 4. Done: You got the generated completion.
+console.log(result.completion);

examples/everything/index.ts

@@ -2,28 +2,39 @@ import 'dotenv/config';
 import {Pipe} from 'langbase';
 
 // STREAM: OFF
+console.log('STREAM-OFF: generateText()');
+
+// 1. Initiate the Pipe.
 const pipeStreamOff = new Pipe({
 	apiKey: process.env.PIPE_LESS_WORDY!,
 });
 
+// 3. Generate the text by asking a question.
 const result = await pipeStreamOff.generateText({
 	messages: [{role: 'user', content: 'Who is an AI Engineer?'}],
 });
 
-console.log('STEAM-OFF');
+// 4. Done: You got the generated completion.
 console.log(result.completion);
 
 // STREAM: ON
+console.log('STREAM-ON: streamText()');
+
+// 1. Initiate the Pipe.
 const pipeStreaming = new Pipe({
 	apiKey: process.env.PIPE_LESS_WORDY_STREAM!,
 });
 
+// 2. Generate a stream by asking a question
 const stream = await pipeStreaming.streamText({
 	messages: [{role: 'user', content: 'Who is an AI Engineer?'}],
 });
 
-console.log('\n');
-console.log('STEAM-ON');
+// 3. Print the stream
 for await (const chunk of stream) {
-	process.stdout.write(chunk.choices[0]?.delta?.content || '');
+	// 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);
 }

examples/everything/package.json

@@ -5,7 +5,9 @@
 	"type": "module",
 	"main": "index.js",
 	"scripts": {
-		"test": "npx tsx index.ts"
+		"test": "npx tsx index.ts",
+		"generate-text": "npx tsx generate-text.ts",
+		"stream-text": "npx tsx stream-text.ts"
 	},
 	"keywords": [],
 	"author": "Ahmad Awais <[email protected]> (https://twitter.com/MrAhmadAwais)",

examples/everything/stream-text.ts

@@ -0,0 +1,24 @@
+import 'dotenv/config';
+import {Pipe} from 'langbase';
+
+// STREAM: ON
+console.log('STREAM-ON: streamText()');
+
+// 1. Initiate the Pipe.
+const pipeStreaming = new Pipe({
+	apiKey: process.env.PIPE_LESS_WORDY_STREAM!,
+});
+
+// 2. Generate a stream by asking a question
+const stream = await pipeStreaming.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);
+}