Update async agent example

docs/flyte_agents/creating_an_agent.md

@@ -43,7 +43,7 @@ class Metadata:
     # If you add s3 file path, the agent will check if the file exists.
     job_id: str
 
-class CustomAgent(AgentBase):
+class CustomAsyncAgent(AsyncAgentBase):
     def __init__(self, task_type: str):
         # Each agent should have a unique task type.
         # The Flyte agent service will use the task type
@@ -52,48 +52,34 @@ class CustomAgent(AgentBase):
 
     def create(
         self,
-        context: grpc.ServicerContext,
         output_prefix: str,
         task_template: TaskTemplate,
         inputs: typing.Optional[LiteralMap] = None,
+        **kwargs,
     ) -> TaskCreateResponse:
         # 1. Submit the task to the external service (BigQuery, DataBricks, etc.)
         # 2. Create metadata for the task, such as jobID.
         # 3. Return the metadata, serialized to bytes.
         res = requests.post(url, json=data)
         return CreateTaskResponse(resource_meta=json.dumps(asdict(Metadata(job_id=str(res.job_id)))).encode("utf-8"))
 
-    def get(self, context: grpc.ServicerContext, resource_meta: bytes) -> TaskGetResponse:
+    def get(self, resource_meta: bytes, **kwargs) -> TaskGetResponse:
         # 1. Deserialize the metadata.
         # 2. Use the metadata to get the job status.
         # 3. Return the job status.
         metadata = Metadata(**json.loads(resource_meta.decode("utf-8")))
         res = requests.get(url, json={"job_id": metadata.job_id})
         return GetTaskResponse(resource=Resource(state=res.state)
 
-    def delete(self, context: grpc.ServicerContext, resource_meta: bytes) -> TaskDeleteResponse:
+    def delete(self, resource_meta: bytes, **kwargs) -> TaskDeleteResponse:
         # 1. Deserialize the metadata.
         # 2. Use the metadata to delete the job.
-        # 3. If failed to delete the job, add the error message to the grpc context.
-        #   context.set_code(grpc.StatusCode.INTERNAL)
-        #   context.set_details(f"failed to create task with error {e}")
-        try:
-            metadata = Metadata(**json.loads(resource_meta.decode("utf-8")))
-            requests.delete(url, json={"job_id": metadata.job_id})
-        except Exception as e:
-            logger.error(f"failed to delete task with error {e}")
-            context.set_code(grpc.StatusCode.INTERNAL)
-            context.set_details(f"failed to delete task with error {e}")
+        metadata = Metadata(**json.loads(resource_meta.decode("utf-8")))
+        requests.delete(url, json={"job_id": metadata.job_id})
         return DeleteTaskResponse()
 
 # To register the custom agent
-AgentRegistry.register(CustomAgent())
+AgentRegistry.register(CustomAsyncAgent())
 ```
 
 For an example implementation, see the [BigQuery Agent](https://github.com/flyteorg/flytekit/blob/9977aac26242ebbede8e00d476c2fbc59ac5487a/plugins/flytekit-bigquery/flytekitplugins/bigquery/agent.py#L35).
-
-## Sync agent interface specification
-
-To create a new async agent, extend the `AgentBase` class in the `flytekit.backend` module and implement the `execute` method.
-
-- `execute`: This method is used to initiate a new job and return the response.

docs/flyte_agents/testing_agents_locally.md

@@ -13,6 +13,12 @@ Agents can be tested locally without configuring or running the backend server,
 
 The task inherited from `AsyncAgentExecutorMixin` can be executed locally, allowing flytekit to mimic FlytePropeller's behavior to call the agent.
 
+```python
+class BigQueryTask(AsyncAgentExecutorMixin, SQLTask[BigQueryConfig]):
+    def __init__(self, name: str, **kwargs):
+        ...
+```
+
 :::{note}
 
 In some cases, you will need to store credentials in your local environment when testing locally.