chore: remove legacy embeddings (#3846)

tests/helpers/endpoints_helper.py

@@ -13,8 +13,8 @@ logger = logging.getLogger(__name__)
 
 from letta.config import LettaConfig
 from letta.constants import DEFAULT_HUMAN, DEFAULT_PERSONA
-from letta.embeddings import embedding_model
 from letta.errors import InvalidInnerMonologueError, InvalidToolCallError, MissingInnerMonologueError, MissingToolCallError
+from letta.llm_api.llm_client import LLMClient
 from letta.local_llm.constants import INNER_THOUGHTS_KWARG
 from letta.schemas.agent import AgentState, CreateAgent
 from letta.schemas.embedding_config import EmbeddingConfig
@@ -91,14 +91,21 @@ def setup_agent(
 # ======================================================================================================================
 
 
-def run_embedding_endpoint(filename):
+async def run_embedding_endpoint(filename, actor=None):
     # load JSON file
     config_data = json.load(open(filename, "r"))
     print(config_data)
     embedding_config = EmbeddingConfig(**config_data)
-    model = embedding_model(embedding_config)
+
+    # Use the new LLMClient for embeddings
+    client = LLMClient.create(
+        provider_type=embedding_config.embedding_endpoint_type,
+        actor=actor,
+    )
+
     query_text = "hello"
-    query_vec = model.get_text_embedding(query_text)
+    query_vecs = await client.request_embeddings([query_text], embedding_config)
+    query_vec = query_vecs[0]
     print("vector dim", len(query_vec))
     assert query_vec is not None