Feature/more cli diags (#624)

* CLI tools for tg-invoke-graph-embeddings, tg-invoke-document-embeddings,
and tg-invoke-embeddings.  Just useful for diagnostics.

* Fix tg-load-knowledge

trustgraph-flow/trustgraph/gateway/dispatch/document_embeddings_query.py

@@ -0,0 +1,31 @@
+
+from ... schema import DocumentEmbeddingsRequest, DocumentEmbeddingsResponse
+from ... messaging import TranslatorRegistry
+
+from . requestor import ServiceRequestor
+
+class DocumentEmbeddingsQueryRequestor(ServiceRequestor):
+    def __init__(
+            self, backend, request_queue, response_queue, timeout,
+            consumer, subscriber,
+    ):
+
+        super(DocumentEmbeddingsQueryRequestor, self).__init__(
+            backend=backend,
+            request_queue=request_queue,
+            response_queue=response_queue,
+            request_schema=DocumentEmbeddingsRequest,
+            response_schema=DocumentEmbeddingsResponse,
+            subscription = subscriber,
+            consumer_name = consumer,
+            timeout=timeout,
+        )
+
+        self.request_translator = TranslatorRegistry.get_request_translator("document-embeddings-query")
+        self.response_translator = TranslatorRegistry.get_response_translator("document-embeddings-query")
+
+    def to_request(self, body):
+        return self.request_translator.to_pulsar(body)
+
+    def from_response(self, message):
+        return self.response_translator.from_response_with_completion(message)

trustgraph-flow/trustgraph/gateway/dispatch/manager.py

@@ -26,6 +26,7 @@ from . structured_query import StructuredQueryRequestor
 from . structured_diag import StructuredDiagRequestor
 from . embeddings import EmbeddingsRequestor
 from . graph_embeddings_query import GraphEmbeddingsQueryRequestor
+from . document_embeddings_query import DocumentEmbeddingsQueryRequestor
 from . mcp_tool import McpToolRequestor
 from . text_load import TextLoad
 from . document_load import DocumentLoad
@@ -55,6 +56,7 @@ request_response_dispatchers = {
     "document-rag": DocumentRagRequestor,
     "embeddings": EmbeddingsRequestor,
     "graph-embeddings": GraphEmbeddingsQueryRequestor,
+    "document-embeddings": DocumentEmbeddingsQueryRequestor,
     "triples": TriplesQueryRequestor,
     "objects": ObjectsQueryRequestor,
     "nlp-query": NLPQueryRequestor,