fix: enforce Zep ontology contract limits

backend/app/services/graph_builder.py

@@ -16,7 +16,11 @@ from zep_cloud import EpisodeData, EntityEdgeSourceTarget
 from ..config import Config
 from ..models.task import TaskManager, TaskStatus
 from ..utils.zep_paging import fetch_all_nodes, fetch_all_edges
-from ..utils.ontology import normalize_ontology_attribute
+from ..utils.ontology import (
+    MAX_ONTOLOGY_TYPES,
+    RESERVED_ONTOLOGY_ATTRIBUTE_NAMES,
+    normalize_ontology_attributes,
+)
 from .text_processor import TextProcessor
 from ..utils.locale import t, get_locale, set_locale
 
@@ -214,18 +218,15 @@ class GraphBuilderService:
         # 这是 Zep SDK 要求的用法，警告来自动态类创建，可以安全忽略
         warnings.filterwarnings('ignore', category=UserWarning, module='pydantic')
         
-        # Zep 保留名称，不能作为属性名
-        RESERVED_NAMES = {'uuid', 'name', 'group_id', 'name_embedding', 'summary', 'created_at'}
-        
         def safe_attr_name(attr_name: str) -> str:
             """将保留名称转换为安全名称"""
-            if attr_name.lower() in RESERVED_NAMES:
+            if attr_name.lower() in RESERVED_ONTOLOGY_ATTRIBUTE_NAMES:
                 return f"entity_{attr_name}"
             return attr_name
         
         # 动态创建实体类型
         entity_types = {}
-        for entity_def in ontology.get("entity_types", []):
+        for entity_def in ontology.get("entity_types", [])[:MAX_ONTOLOGY_TYPES]:
             name = entity_def["name"]
             description = entity_def.get("description", f"A {name} entity.")
             
@@ -233,10 +234,9 @@ class GraphBuilderService:
             attrs = {"__doc__": description}
             annotations = {}
             
-            for attr_def in entity_def.get("attributes", []):
+            for normalized in normalize_ontology_attributes(
-                normalized = normalize_ontology_attribute(attr_def)
+                entity_def.get("attributes", [])
-                if normalized is None:
+            ):
-                    continue
                 attr_name = safe_attr_name(normalized["name"])  # 使用安全名称
                 attr_desc = normalized["description"]
                 # Zep API 需要 Field 的 description，这是必需的
@@ -252,7 +252,7 @@ class GraphBuilderService:
         
         # 动态创建边类型
         edge_definitions = {}
-        for edge_def in ontology.get("edge_types", []):
+        for edge_def in ontology.get("edge_types", [])[:MAX_ONTOLOGY_TYPES]:
             name = edge_def["name"]
             description = edge_def.get("description", f"A {name} relationship.")
             
@@ -260,10 +260,9 @@ class GraphBuilderService:
             attrs = {"__doc__": description}
             annotations = {}
             
-            for attr_def in edge_def.get("attributes", []):
+            for normalized in normalize_ontology_attributes(
-                normalized = normalize_ontology_attribute(attr_def)
+                edge_def.get("attributes", [])
-                if normalized is None:
+            ):
-                    continue
                 attr_name = safe_attr_name(normalized["name"])  # 使用安全名称
                 attr_desc = normalized["description"]
                 # Zep API 需要 Field 的 description，这是必需的
@@ -294,7 +293,9 @@ class GraphBuilderService:
         if entity_types or edge_definitions:
             self.client.graph.set_ontology(
                 graph_ids=[graph_id],
-                entities=entity_types if entity_types else None,
+                # zep-cloud 3.13.0 iterates entities.items(), so an edge-only
+                # ontology must pass an empty dictionary rather than None.
+                entities=entity_types,
                 edges=edge_definitions if edge_definitions else None,
             )
     

backend/app/services/ontology_generator.py

@@ -10,7 +10,10 @@ from typing import Dict, Any, List, Optional
 from ..utils.llm_client import LLMClient
 from ..utils.locale import get_language_instruction
 from ..utils.file_parser import split_text_into_chunks
-from ..utils.ontology import normalize_ontology_attribute
+from ..utils.ontology import (
+    MAX_ONTOLOGY_TYPES,
+    normalize_ontology_attributes,
+)
 
 logger = logging.getLogger(__name__)
 
@@ -128,7 +131,7 @@ B. **具体类型（8个，根据文本内容设计）**：
 ### 3. 属性设计
 
 - 每个实体类型1-3个关键属性
-- **注意**：属性名不能使用 `name`、`uuid`、`group_id`、`created_at`、`summary`（这些是系统保留字）
+- **注意**：属性名不能使用 `name`、`uuid`、`group_id`、`graph_id`、`created_at`、`summary`（这些是系统保留字）
 - 推荐使用：`full_name`, `title`, `role`, `position`, `location`, `description` 等
 
 ## 实体类型参考
@@ -268,7 +271,7 @@ class OntologyGenerator:
 2. 最后2个必须是兜底类型：Person（个人兜底）和 Organization（组织兜底）
 3. 前8个是根据文本内容设计的具体类型
 4. 所有实体类型必须是现实中可以发声的主体，不能是抽象概念
-5. 属性名不能使用 name、uuid、group_id 等保留字，用 full_name、org_name 等替代
+5. 属性名不能使用 name、uuid、group_id、graph_id 等保留字，用 full_name、org_name 等替代
 """
         
         return message
@@ -431,14 +434,11 @@ class OntologyGenerator:
                 if entity["name"] != original_name:
                     logger.warning(f"Entity type name '{original_name}' auto-converted to '{entity['name']}'")
                 entity_name_map[original_name] = entity["name"]
-            if "attributes" not in entity:
+            # Normalize LLM output, enforce Zep field limits, and guarantee at
-                entity["attributes"] = []
+            # least one property for every custom ontology type.
-            # Normalize LLM output and discard unusable attribute definitions.
+            entity["attributes"] = normalize_ontology_attributes(
-            entity["attributes"] = [
+                entity.get("attributes", [])
-                normalized
+            )
-                for attr in entity["attributes"]
-                if (normalized := normalize_ontology_attribute(attr)) is not None
-            ]
             if "examples" not in entity:
                 entity["examples"] = []
             # 确保description不超过100字符
@@ -461,20 +461,17 @@ class OntologyGenerator:
                     st["target"] = entity_name_map[st["target"]]
             if "source_targets" not in edge:
                 edge["source_targets"] = []
-            if "attributes" not in edge:
+            # Normalize LLM output, enforce Zep field limits, and guarantee at
-                edge["attributes"] = []
+            # least one property for every custom ontology type.
-            # Normalize LLM output and discard unusable attribute definitions.
+            edge["attributes"] = normalize_ontology_attributes(
-            edge["attributes"] = [
+                edge.get("attributes", [])
-                normalized
+            )
-                for attr in edge["attributes"]
-                if (normalized := normalize_ontology_attribute(attr)) is not None
-            ]
             if len(edge.get("description", "")) > 100:
                 edge["description"] = edge["description"][:97] + "..."
         
         # Zep API 限制：最多 10 个自定义实体类型，最多 10 个自定义边类型
-        MAX_ENTITY_TYPES = 10
+        MAX_ENTITY_TYPES = MAX_ONTOLOGY_TYPES
-        MAX_EDGE_TYPES = 10
+        MAX_EDGE_TYPES = MAX_ONTOLOGY_TYPES
 
         # 去重：按 name 去重，保留首次出现的
         seen_names = set()

backend/app/utils/ontology.py

@@ -1,6 +1,25 @@
 """Helpers for validating LLM-generated ontology structures."""
 
-from typing import Any, Dict, Optional
+from typing import Any, Dict, List, Optional
+
+
+MAX_ONTOLOGY_TYPES = 10
+MAX_ONTOLOGY_ATTRIBUTES = 10
+RESERVED_ONTOLOGY_ATTRIBUTE_NAMES = frozenset({
+    "uuid",
+    "name",
+    "group_id",
+    "graph_id",
+    "name_embedding",
+    "summary",
+    "created_at",
+})
+
+_FALLBACK_ATTRIBUTE = {
+    "name": "details",
+    "type": "text",
+    "description": "Additional details about this ontology type.",
+}
 
 
 def normalize_ontology_attribute(attribute: Any) -> Optional[Dict[str, Any]]:
@@ -27,3 +46,24 @@ def normalize_ontology_attribute(attribute: Any) -> Optional[Dict[str, Any]]:
     if not isinstance(description, str) or not description:
         normalized["description"] = name
     return normalized
+
+
+def normalize_ontology_attributes(attributes: Any) -> List[Dict[str, Any]]:
+    """Return a non-empty Zep-compatible attribute list within service limits."""
+
+    if not isinstance(attributes, list):
+        attributes = []
+
+    normalized_attributes: List[Dict[str, Any]] = []
+    for attribute in attributes:
+        normalized = normalize_ontology_attribute(attribute)
+        if normalized is None:
+            continue
+        normalized_attributes.append(normalized)
+        if len(normalized_attributes) == MAX_ONTOLOGY_ATTRIBUTES:
+            break
+
+    if not normalized_attributes:
+        normalized_attributes.append(dict(_FALLBACK_ATTRIBUTE))
+
+    return normalized_attributes

backend/tests/test_ontology_attributes.py

@@ -1,6 +1,14 @@
 from app.services.ontology_generator import OntologyGenerator
 from app.services.graph_builder import GraphBuilderService
-from app.utils.ontology import normalize_ontology_attribute
+from app.utils.ontology import (
+    MAX_ONTOLOGY_ATTRIBUTES,
+    normalize_ontology_attribute,
+    normalize_ontology_attributes,
+)
+from zep_cloud.external_clients.ontology import (
+    edge_model_to_api_schema,
+    entity_model_to_api_schema,
+)
 
 
 def test_normalize_string_attribute():
@@ -22,6 +30,22 @@ def test_reject_unusable_attribute_shapes():
         assert normalize_ontology_attribute(value) is None
 
 
+def test_attribute_list_is_non_empty_and_capped_for_zep():
+    assert normalize_ontology_attributes(None) == [{
+        "name": "details",
+        "type": "text",
+        "description": "Additional details about this ontology type.",
+    }]
+
+    attributes = [None] + [f"field_{index}" for index in range(12)]
+    normalized = normalize_ontology_attributes(attributes)
+
+    assert len(normalized) == MAX_ONTOLOGY_ATTRIBUTES
+    assert [attribute["name"] for attribute in normalized] == [
+        f"field_{index}" for index in range(MAX_ONTOLOGY_ATTRIBUTES)
+    ]
+
+
 def test_generator_normalizes_entity_and_edge_attributes():
     result = OntologyGenerator(llm_client=object())._validate_and_process({
         "entity_types": [{"name": "speaker", "attributes": ["role", None]}],
@@ -40,6 +64,16 @@ def test_generator_normalizes_entity_and_edge_attributes():
     }]
 
 
+def test_generator_adds_a_property_to_empty_custom_types():
+    result = OntologyGenerator(llm_client=object())._validate_and_process({
+        "entity_types": [{"name": "speaker", "attributes": []}],
+        "edge_types": [{"name": "quotes", "attributes": []}],
+    })
+
+    assert result["entity_types"][0]["attributes"][0]["name"] == "details"
+    assert result["edge_types"][0]["attributes"][0]["name"] == "details"
+
+
 def test_graph_builder_safety_net_accepts_strings_and_skips_invalid_values():
     captured = {}
 
@@ -62,3 +96,75 @@ def test_graph_builder_safety_net_accepts_strings_and_skips_invalid_values():
 
     speaker = captured["entities"]["Speaker"]
     assert set(speaker.__annotations__) == {"role", "entity_summary"}
+
+
+def test_graph_builder_emits_a_pinned_zep_sdk_compatible_schema():
+    captured = {}
+
+    class GraphApi:
+        def set_ontology(self, **kwargs):
+            captured.update(kwargs)
+
+    class Client:
+        graph = GraphApi()
+
+    builder = object.__new__(GraphBuilderService)
+    builder.client = Client()
+    builder.set_ontology("graph-id", {
+        "entity_types": [{
+            "name": "Speaker",
+            "attributes": ["graph_id"] + [
+                f"field_{index}" for index in range(10)
+            ],
+        }],
+        "edge_types": [{
+            "name": "MENTIONS",
+            "attributes": [],
+            "source_targets": [{"source": "Speaker", "target": "Speaker"}],
+        }],
+    })
+
+    assert captured["graph_ids"] == ["graph-id"]
+
+    speaker = captured["entities"]["Speaker"]
+    entity_schema = entity_model_to_api_schema(speaker, "Speaker")
+    assert len(entity_schema["properties"]) == MAX_ONTOLOGY_ATTRIBUTES
+    assert entity_schema["properties"][0] == {
+        "name": "entity_graph_id",
+        "type": "Text",
+        "description": "graph_id",
+    }
+
+    mentions, source_targets = captured["edges"]["MENTIONS"]
+    edge_schema = edge_model_to_api_schema(mentions, "MENTIONS")
+    assert edge_schema["properties"] == [{
+        "name": "details",
+        "type": "Text",
+        "description": "Additional details about this ontology type.",
+    }]
+    assert source_targets[0].source == "Speaker"
+    assert source_targets[0].target == "Speaker"
+
+
+def test_graph_builder_passes_an_empty_entity_mapping_for_edge_only_ontology():
+    captured = {}
+
+    class GraphApi:
+        def set_ontology(self, **kwargs):
+            captured.update(kwargs)
+
+    class Client:
+        graph = GraphApi()
+
+    builder = object.__new__(GraphBuilderService)
+    builder.client = Client()
+    builder.set_ontology("graph-id", {
+        "entity_types": [],
+        "edge_types": [{
+            "name": "RELATED_TO",
+            "attributes": ["reason"],
+            "source_targets": [{"source": "Entity", "target": "Entity"}],
+        }],
+    })
+
+    assert captured["entities"] == {}