fix: better error logging

application/api/user/sources/routes.py

@@ -5,6 +5,7 @@ import math
 
 from flask import current_app, jsonify, make_response, redirect, request
 from flask_restx import fields, Namespace, Resource
+from pydantic import ValidationError
 
 from application.api import api
 from application.api.user.tasks import reingest_source_task, sync_source
@@ -573,11 +574,20 @@ class SourceConfigResource(Resource):
                 jsonify({"success": False, "message": "Invalid config body"}), 400
             )
         # Strict validation (D7 strict-on-write): reject invalid config → 400.
+        # Return a static message (no exception text) so validation internals
+        # aren't exposed to the caller; the client validates the same rules
+        # before submitting.
         try:
             new_config = SourceConfig.model_validate(body)
-        except Exception as err:
+        except ValidationError:
             return make_response(
-                jsonify({"success": False, "message": f"Invalid config: {err}"}), 400
+                jsonify(
+                    {
+                        "success": False,
+                        "message": "Invalid config: one or more fields failed validation.",
+                    }
+                ),
+                400,
             )
 
         try:

application/retriever/dispatcher.py

@@ -287,7 +287,14 @@ class Dispatcher(BaseRetriever):
             try:
                 group_docs = retriever.search(query) if query else retriever.search()
             except Exception as exc:
-                logger.error("Group '%s' search failed: %s", group["retriever"], exc)
+                # Log the exception type only — a raw exception message can
+                # carry the vector-store DSN (with credentials) on connection
+                # errors.
+                logger.error(
+                    "Group '%s' search failed: %s",
+                    group["retriever"],
+                    type(exc).__name__,
+                )
                 continue
             context = {"query": query, "retriever": group["retriever"]}
             group_docs = self._run_stages(