Batch embeddings (#668)

Base Service (trustgraph-base/trustgraph/base/embeddings_service.py):
- Changed on_request to use request.texts

FastEmbed Processor
(trustgraph-flow/trustgraph/embeddings/fastembed/processor.py):
- on_embeddings(texts, model=None) now processes full batch efficiently
- Returns [[v.tolist()] for v in vecs] - list of vector sets

Ollama Processor (trustgraph-flow/trustgraph/embeddings/ollama/processor.py):
- on_embeddings(texts, model=None) passes list directly to Ollama
- Returns [[embedding] for embedding in embeds.embeddings]

EmbeddingsClient (trustgraph-base/trustgraph/base/embeddings_client.py):
- embed(texts, timeout=300) accepts list of texts

Tests Updated:
- test_fastembed_dynamic_model.py - 4 tests updated for new interface
- test_ollama_dynamic_model.py - 4 tests updated for new interface

Updated CLI, SDK and APIs

trustgraph-base/trustgraph/messaging/translators/embeddings.py

@@ -5,15 +5,15 @@ from .base import MessageTranslator
 
 class EmbeddingsRequestTranslator(MessageTranslator):
     """Translator for EmbeddingsRequest schema objects"""
-    
+
     def to_pulsar(self, data: Dict[str, Any]) -> EmbeddingsRequest:
         return EmbeddingsRequest(
-            text=data["text"]
+            texts=data["texts"]
         )
-    
+
     def from_pulsar(self, obj: EmbeddingsRequest) -> Dict[str, Any]:
         return {
-            "text": obj.text
+            "texts": obj.texts
         }