feat: Add create_embeddings function to Jina client

- Added a `create_embeddings` function to the Jina client to
  generate embeddings for given input texts.
- Improved the `create_embeddings` function input parameters
  for better flexibility and error handling.
- Updated `TextEmbeddingInput` struct to handle optional
  parameters for embedding type, truncation type, and late
  chunking.  This improves the flexibility of the embedding
  generation process.

examples/clients/jina.vsh

@@ -2,5 +2,12 @@
 
 import freeflowuniverse.herolib.clients.jina
 
-jina_client := jina.get()!
-println('jina: ${jina_client}')
+mut jina_client := jina.get()!
+
+embeddings := jina_client.create_embeddings(
+	input: ['Hello', 'World']
+	model: .embeddings_v3
+	task:  'separation'
+) or { panic('Error while creating embeddings: ${err}') }
+
+println('Created embeddings: ${embeddings}')

lib/clients/jina/jina_client.v

@@ -1,20 +1,23 @@
 module jina
 
 import freeflowuniverse.herolib.core.httpconnection
-import json
-import os
-import net.http
+
+@[params]
+pub struct CreateEmbeddingParams {
+pub mut:
+	input []string            @[required] // Input texts
+	model JinaModelEnumerator @[required] // Model name
+	task  string              @[required] // Task type
+}
 
 // Create embeddings for input texts
-pub fn (mut j Jina) create_embeddings(input []string, model string, task string) !ModelEmbeddingOutput {
-	model_ := jina_model_from_string(model)!
-	task_ := task_type_from_string(task)!
+pub fn (mut j Jina) create_embeddings(params CreateEmbeddingParams) !ModelEmbeddingOutput {
+	task := task_type_from_string(params.task)!
 
 	mut embedding_input := TextEmbeddingInput{
-		input:         input
-		model:         model_
-		task:          task_
-		late_chunking: false
+		input: params.input
+		model: params.model.to_string()
+		task:  task
 	}
 
 	req := httpconnection.Request{

lib/clients/jina/model_embed.v

@@ -144,25 +144,31 @@ mut:
 // TextEmbeddingInput represents the input for text embedding requests with enum types
 pub struct TextEmbeddingInput {
 pub mut:
-	model         JinaModelEnumerator = JinaModelEnumerator.embeddings_v2_base_en
+	model         string = 'jina-embeddings-v2-base-en'
 	input         []string @[required]
-	task          TaskType      // task type
-	type_         EmbeddingType // embedding type
-	truncate      TruncateType  // truncation type
-	late_chunking bool          // Flag to determine if late chunking is applied
+	task          TaskType       // task type
+	type_         ?EmbeddingType // embedding type
+	truncate      ?TruncateType  // truncation type
+	late_chunking ?bool          // Flag to determine if late chunking is applied
 }
 
 // dumps converts TextEmbeddingInput to JSON string
 pub fn (t TextEmbeddingInput) dumps() !string {
 	mut raw := TextEmbeddingInputRaw{
-		model:         t.model.to_string()
+		model:         t.model
 		input:         t.input
-		late_chunking: t.late_chunking
+		late_chunking: if v := t.late_chunking { true } else { false }
 	}
 
 	raw.task = t.task.to_string()
-	raw.type_ = t.type_.to_string()
-	raw.truncate = t.truncate.to_string()
+	if v := t.type_ {
+		raw.type_ = v.to_string()
+	}
+
+	if v := t.truncate {
+		raw.truncate = v.to_string()
+	}
+
 	return json.encode(raw)
 }