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langbase

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langbase - npm Package Compare versions

Comparing version 0.2.3 to 0.2.4

2

package.json
{
"name": "langbase",
"version": "0.2.3",
"version": "0.2.4",
"license": "Apache-2.0",

@@ -5,0 +5,0 @@ "sideEffects": false,

@@ -29,5 +29,5 @@ # Langbase SDK

You can `generateText` or `streamText` based on the type of a pipe.
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) for more details.
Check our [SDK documentation](https://langbase.com/docs/langbase-sdk/overview) for more details.

@@ -37,2 +37,3 @@ ### Example projects

Check the following examples:
- [Node: Generate Text](https://github.com/LangbaseInc/langbase-sdk/blob/main/examples/everything/generate-text.ts)

@@ -45,11 +46,24 @@ - [Node: Stream Text](https://github.com/LangbaseInc/langbase-sdk/blob/main/examples/everything/stream-text.ts)

### Demo code:
### Node.js Example Code
```TypeScript
## 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';
// STREAM: OFF
console.log('STREAM-OFF: generateText()');
// 1. Initiate the Pipe.

@@ -59,3 +73,3 @@ const pipe = new Pipe({

// As a demo we're using a pipe that has less wordy responses.
apiKey: process.env.PIPE_LESS_WORDY!,
apiKey: process.env.LANGBASE_PIPE_API_KEY!,
});

@@ -70,9 +84,21 @@

console.log(result.completion);
```
// ======= OR ======== //
---
// STREAM: ON
console.log('');
console.log('STREAM-ON: streamText()');
### 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

@@ -92,1 +118,3 @@ const stream = await pipe.streamText({

```
Check out [more examples in the docs](https://langbase.com/docs/langbase-sdk/examples) →
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