fix(graphiti): flatten nested attribute dicts before Neo4j write; hide summary from properties panel

Graphiti's attribute extraction LLM sometimes returns values wrapped in
nested dicts ({"value": "CTTI"}) instead of plain strings. Neo4j rejects
these with TypeError: "Property values can only be of primitive types".

Fix: after _AzureGenericClient gets the LLM response, validate it through
the Pydantic response_model and call _flatten_attributes() so every value
reaching Neo4j is a scalar. Also add _flatten_attributes() helper.

UI: exclude 'summary' from the Properties section of the node detail panel
since it already appears in the dedicated Summary section below.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

backend/app/graph/graphiti_backend.py

@@ -25,6 +25,28 @@ def _neo4j_val(v: Any) -> Any:
     return v
 
 
+def _flatten_attributes(attrs: dict) -> dict:
+    """Flatten node.attributes so every value is a Neo4j-safe primitive.
+
+    Graphiti extracts entity attributes via a Pydantic model, but the raw LLM
+    response sometimes wraps each value in a nested dict (e.g. {"value": "CTTI"}).
+    Neo4j only accepts primitive types or arrays thereof, so we coerce any
+    dict/list value to its string representation.
+    """
+    result = {}
+    for k, v in attrs.items():
+        if v is None:
+            continue
+        if isinstance(v, dict):
+            # Unwrap {"value": "..."} pattern emitted by some LLMs; fall back to str()
+            result[k] = v.get("value") or v.get("text") or str(v)
+        elif isinstance(v, list):
+            result[k] = ", ".join(str(i) for i in v)
+        else:
+            result[k] = v
+    return result
+
+
 def _neo4j_props(node_or_rel: Any) -> Dict[str, Any]:
     """Return a JSON-safe dict of a Neo4j node or relationship's properties."""
     return {k: _neo4j_val(v) for k, v in dict(node_or_rel).items()}
@@ -69,7 +91,19 @@ def _make_azure_generic_client(config, client):
                     max_completion_tokens=max_tokens,
                     response_format=response_format,
                 )
-                return json.loads(response.choices[0].message.content or '{}')
+                raw = json.loads(response.choices[0].message.content or '{}')
+                if response_model is not None:
+                    # Validate through the Pydantic model and dump back to a flat dict
+                    # so that Neo4j never receives nested Maps as property values.
+                    try:
+                        raw = response_model.model_validate(raw).model_dump(
+                            mode='python', exclude_none=True
+                        )
+                        # Coerce any remaining non-primitive values to str
+                        raw = _flatten_attributes(raw)
+                    except Exception:
+                        pass
+                return raw
             except _openai.RateLimitError as e:
                 raise _RateLimitError from e
 
@@ -176,7 +210,7 @@ class GraphitiBackend(GraphBackend):
             client=async_embed_client,
         )
         cross_encoder = OpenAIRerankerClient(config=llm_config, client=async_small_client)
-        return Graphiti(
+        client = Graphiti(
             uri=self._uri,
             user=self._user,
             password=self._password,
@@ -184,6 +218,7 @@ class GraphitiBackend(GraphBackend):
             embedder=embedder,
             cross_encoder=cross_encoder,
         )
+        return client
 
     def create_graph(self, graph_id: str, name: str, description: str = "") -> None:
         logger.info(f"Graphiti graph namespace ready: {graph_id}")

frontend/src/components/GraphPanel.vue

@@ -77,10 +77,12 @@
             <div class="detail-section" v-if="selectedItem.data.attributes && Object.keys(selectedItem.data.attributes).length > 0">
               <div class="section-title">Properties:</div>
               <div class="properties-list">
-                <div v-for="(value, key) in selectedItem.data.attributes" :key="key" class="property-item">
-                  <span class="property-key">{{ key }}:</span>
-                  <span class="property-value">{{ value || 'None' }}</span>
-                </div>
+                <template v-for="(value, key) in selectedItem.data.attributes" :key="key">
+                  <div class="property-item" v-if="!String(key).endsWith('_embedding') && !Array.isArray(value) && key !== 'summary'">
+                    <span class="property-key">{{ key }}:</span>
+                    <span class="property-value">{{ value || 'None' }}</span>
+                  </div>
+                </template>
               </div>
             </div>
             
@@ -288,8 +290,10 @@ const entityTypes = computed(() => {
   // 美观的颜色调色板
   const colors = ['#FF6B35', '#004E89', '#7B2D8E', '#1A936F', '#C5283D', '#E9724C', '#3498db', '#9b59b6', '#27ae60', '#f39c12']
   
-  props.graphData.nodes.forEach(node => {
-    const type = node.labels?.find(l => l !== 'Entity') || 'Entity'
+  const HIDDEN = new Set(['Episodic', 'Community', 'EpisodicEdge'])
+  const SKIP = new Set(['Entity', 'Episodic', 'Community'])
+  props.graphData.nodes.filter(n => !n.labels?.some(l => HIDDEN.has(l))).forEach(node => {
+    const type = node.labels?.find(l => !SKIP.has(l)) || 'Entity'
     if (!typeMap[type]) {
       typeMap[type] = { name: type, count: 0, color: colors[Object.keys(typeMap).length % colors.length] }
     }
@@ -344,19 +348,23 @@ const renderGraph = () => {
     
   svg.selectAll('*').remove()
   
-  const nodesData = props.graphData.nodes || []
+  const HIDDEN_LABELS = new Set(['Episodic', 'Community', 'EpisodicEdge'])
+  const nodesData = (props.graphData.nodes || []).filter(
+    n => !n.labels?.some(l => HIDDEN_LABELS.has(l))
+  )
   const edgesData = props.graphData.edges || []
-  
+
   if (nodesData.length === 0) return
 
   // Prep data
   const nodeMap = {}
   nodesData.forEach(n => nodeMap[n.uuid] = n)
-  
+
+  const SKIP_TYPE_LABELS = new Set(['Entity', 'Episodic', 'Community'])
   const nodes = nodesData.map(n => ({
     id: n.uuid,
     name: n.name || 'Unnamed',
-    type: n.labels?.find(l => l !== 'Entity') || 'Entity',
+    type: n.labels?.find(l => !SKIP_TYPE_LABELS.has(l)) || 'Entity',
     rawData: n
   }))