fix: agent error type checking and unit test

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "zhipuai"
-version = "2.1.5.20250717"
+version = "2.1.5.20250724"
 description = "A SDK library for accessing big model apis from ZhipuAI"
 authors = ["Zhipu AI"]
 readme = "README.md"
@@ -51,9 +51,9 @@ extended_testing = [
 
 [tool.ruff.lint]
 select = [
-    "E", # pycodestyle
-    "F", # pyflakes
-    "I", # isort
+    "E",    # pycodestyle
+    "F",    # pyflakes
+    "I",    # isort
     "T201", # print
 ]
 

tests/integration_tests/test_agents.py

@@ -52,3 +52,48 @@ def test_completions_stream(logging_conf):
 		print(err)
 	except zhipuai.core._errors.APIStatusError as err:
 		print(err)
+
+def test_correction():
+	client = ZhipuAI()  # 请替换为实际API密钥
+
+	response = client.agents.invoke(
+		agent_id="intelligent_education_correction_agent",
+		messages=[
+				{
+					"role": "user",
+					"content": [
+						{
+							"type": "image_url",
+							"image_url": "https://b0.bdstatic.com/e24937f1f6b9c0ff6895e1012c981515.jpg"
+						}
+					]
+				}
+			]
+		)
+	print(response)
+
+def test_correction_result(image_id,uuids,trace_id):
+	client = ZhipuAI()
+
+	response = client.agents.async_result(
+		agent_id="intelligent_education_correction_polling",
+		custom_variables={
+				"images": [
+					{
+						"image_id": image_id,
+						"uuids": uuids
+					}
+				],
+				"trace_id": trace_id
+		}
+	)
+	print(response)
+
+def main():
+    test_completions_sync()
+    test_completions_stream()
+    # test_correction()
+	# test_correction_result(image_id,uuids,trace_id)
+
+if __name__ == "__main__":
+	main()

tests/unit_tests/test_agents.py

@@ -0,0 +1,34 @@
+def test_agents_completion_error_field():
+    from zhipuai.types.agents.agents_completion import AgentsCompletion, AgentsError, AgentsCompletionChoice, AgentsCompletionMessage, AgentsCompletionUsage
+
+    # 构造一个 AgentsError
+    error = AgentsError(code="404", message="Not Found")
+
+    # 构造一个完整的 AgentsCompletion
+    completion = AgentsCompletion(
+        agent_id="test_agent",
+        conversation_id="conv_1",
+        status="failed",
+        choices=[
+            AgentsCompletionChoice(
+                index=0,
+                finish_reason="error",
+                message=AgentsCompletionMessage(content="error", role="system")
+            )
+        ],
+        request_id="req_1",
+        id="id_1",
+        usage=AgentsCompletionUsage(prompt_tokens=1, completion_tokens=1, total_tokens=2),
+        error=error
+    )
+
+    # 检查 error 字段是否为 AgentsError 实例
+    assert isinstance(completion.error, AgentsError)
+    assert completion.error.code == "404"
+    assert completion.error.message == "Not Found"
+
+    # 检查序列化
+    as_dict = completion.model_dump()
+    assert as_dict["error"]["code"] == "404"
+    assert as_dict["error"]["message"] == "Not Found"
+    print("test_agents_completion_error_field passed.")

zhipuai/__version__.py

@@ -1,2 +1 @@
-
-__version__ = 'v2.1.0'
+__version__ = 'v2.1.5.20250724'

zhipuai/types/agents/agents_completion.py

@@ -19,7 +19,7 @@ class AgentsCompletionChoice(BaseModel):
     finish_reason: str
     message: AgentsCompletionMessage
 
-class AgentsError:
+class AgentsError(BaseModel):
     code: Optional[str] = None
     message: Optional[str] = None
 

zhipuai/types/agents/agents_completion_chunk.py

@@ -26,7 +26,7 @@ class AgentsCompletionUsage(BaseModel):
     completion_tokens: int
     total_tokens: int
 
-class AgentsError:
+class AgentsError(BaseModel):
     code: Optional[str] = None
     message: Optional[str] = None