Deploying App (with Caching) to Agent Engine - Pydantic runtime error

[steffanianigro]

Hi, I have recently added caching to my agents by wrapping them as an App and it works well when evaluating the agent and using the in memory runner. I can also successfully deploy the agent to Agent Engine (updating my existing agent). However, when I invoke the agent, I get the error: Input should be a valid dictionary or instance of BaseAgent [type=model_type, input_value=App(name='oracle', root_a...esumability_config=None), input_type=App].

I suspect I am configuring the agent incorrectly when deploying but I can't find any alternatives to my current approach. An example of my agent and deployment configuration is below:

app = App( name="agent_name", root_agent=root_agent, context_cache_config=ContextCacheConfig( min_tokens=4096, ttl_seconds=600, cache_intervals=10, ), )

agent_engines.update( resource_name=existing_agent.resource_name, agent_engine=AdkApp(agent=app), display_name="Agent", ... )

To Reproduce

1. Create an agent and wrap it as an App with caching configuration
2. Deploy the agent using the python API by wrapping the App as an AdkApp (I have tried using the App directly but the deployment fails).
3. Invoke the agent using the python API

Expected behavior
I expect the agent to behave as normal. However, I get a runtime error due to a Pydantic model validation issue.

Screenshots
I have attached a screenshot of the logs.

Desktop (please complete the following information):

• OS: Linux
• Python version(python -V): 3.13.5
• ADK version(pip show google-adk): 1.20.0

Model Information:

• Are you using LiteLLM: No
• Which model is being used(e.g. gemini-2.5-pro): gemini-2.5-flash / gemini-2.5-flash-lite

Additional context
I have tried on both ADK 1.19.0 and 1.20.0.

[vinodseshadri]

What is the version Vertex AI SDK are you using and how are you importing it ?, there has been some changes in the new versions, with regards to agent engine namespaces etc

[steffanianigro]

Hi @vinodseshadri, I am trying to keep everything up to date and am using google-cloud-aiplatform=1.129.0. I am deploying using the python SDK so I am just importing the agent engine utilities.