jina specs

examples/aiexamples/openai_chat_completion.vsh

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+#!/usr/bin/env -S v -n -w -gc none  -cc tcc -d use_openssl -enable-globals run
+
+import freeflowuniverse.herolib.clients.jina
+import freeflowuniverse.herolib.osal
+import os
+
+// Example of using the Jina client
+
+fn main() {
+	// Set environment variable for testing
+	// In production, you would set this in your environment
+	// osal.env_set(key: 'JINAKEY', value: 'your-api-key')
+	
+	// Check if JINAKEY environment variable exists
+	if !osal.env_exists('JINAKEY') {
+		println('JINAKEY environment variable not set. Please set it before running this example.')
+		exit(1)
+	}
+	
+	// Create a Jina client instance
+	mut client := jina.get(name: 'default')!
+	
+	println('Jina client initialized successfully.')
+	
+	// Example: Create embeddings
+	model := 'jina-embeddings-v3'
+	texts := ['Hello, world!', 'How are you doing?']
+	
+	println('Creating embeddings for texts: ${texts}')
+	result := client.create_embeddings(texts, model, 'retrieval.query')!
+	
+	println('Embeddings created successfully.')
+	println('Model: ${result['model']}')
+	println('Data count: ${result['data'].arr().len}')
+	
+	// Example: List classifiers
+	println('\nListing classifiers:')
+	classifiers := client.list_classifiers() or {
+		println('Failed to list classifiers: ${err}')
+		return
+	}
+	
+	println('Classifiers retrieved successfully.')
+	
+	// Example: Create a classifier
+	println('\nTraining a classifier:')
+	examples := [
+		jina.TrainingExample{
+			text: 'This movie was great!'
+			label: 'positive'
+		},
+		jina.TrainingExample{
+			text: 'I did not like this movie.'
+			label: 'negative'
+		},
+		jina.TrainingExample{
+			text: 'The movie was okay.'
+			label: 'neutral'
+		}
+	]
+	
+	training_result := client.train(examples, model, 'private') or {
+		println('Failed to train classifier: ${err}')
+		return
+	}
+	
+	println('Classifier trained successfully.')
+	println('Classifier ID: ${training_result['classifier_id']}')
+}