feat: add per-field search weights to MemoryConfig

Add field_weights dict to MemoryConfig so users can control which input
fields are used for memory search and their relative importance (0.0-1.0).
When field_weights is specified, only listed fields are included in the
search request, matching the backend behavior.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: mjnovice

src/uipath_langchain/agent/react/memory_node.py

@@ -43,7 +43,9 @@ async def memory_recall_node(state: AgentGraphState) -> dict[str, Any]:
         if not input_arguments:
             return {}
 
-        fields = _build_search_fields(input_arguments)
+        fields = _build_search_fields(
+            input_arguments, field_weights=memory_config.field_weights or None
+        )
         if not fields:
             return {}
 
@@ -106,6 +108,9 @@ def _build_search_fields(
     for name, value in input_arguments.items():
         if value is None or name.startswith("uipath__"):
             continue
+        # When field_weights is specified, only include fields with configured weights
+        if field_weights and name not in field_weights:
+            continue
         settings = FieldSettings()
         if field_weights and name in field_weights:
             settings = FieldSettings(weight=field_weights[name])

src/uipath_langchain/agent/react/types.py

@@ -73,6 +73,14 @@ class MemoryConfig(BaseModel):
     )
     result_count: int = Field(default=5, ge=1, le=10)
     threshold: float = Field(default=0.0, ge=0.0, le=1.0)
+    field_weights: dict[str, float] = Field(
+        default_factory=dict,
+        description=(
+            "Per-field search weights. Keys are input field names, values are "
+            "weights between 0.0 and 1.0. Only fields listed here are used for "
+            "memory search. If empty, all input fields are used with default weight."
+        ),
+    )
 
 
 class AgentGraphConfig(BaseModel):