When I tried to follow the How-to guide for [How to add semantic search
to your agent's
memory](https://langchain-ai.github.io/langgraph/how-tos/memory/semantic-search/#using-in-create_react_agent)
using `create_react_agent`, I got this error message when my agent used
the tool:
```python
1 validation error for upsert_memory
store
Field required [type=missing, input_value={'content': '@jimmy works...ny.', 'memory_id': None}, input_type=dict]
For further information visit https://errors.pydantic.dev/2.10/v/missingTraceback (most recent call last):
File "/usr/local/lib/python3.9/site-packages/langchain_core/tools/base.py", line 688, in run
tool_args, tool_kwargs = self._to_args_and_kwargs(tool_input, tool_call_id)
File "/usr/local/lib/python3.9/site-packages/langchain_core/tools/base.py", line 611, in _to_args_and_kwargs
tool_input = self._parse_input(tool_input, tool_call_id)
File "/usr/local/lib/python3.9/site-packages/langchain_core/tools/base.py", line 532, in _parse_input
result = input_args.model_validate(tool_input)
File "/usr/local/lib/python3.9/site-packages/pydantic/main.py", line 627, in model_validate
return cls.__pydantic_validator__.validate_python(
pydantic_core._pydantic_core.ValidationError: 1 validation error for upsert_memory
store
Field required [type=missing, input_value={'content': '@jimmy works...ny.', 'memory_id': None}, input_type=dict]
For further information visit https://errors.pydantic.dev/2.10/v/missing
```
I believe it’s because the graph did not inject the store into the tool
if we use `InjectedToolArg`.
When looking at the guide for [How to pass runtime values to
tools](https://langchain-ai.github.io/langgraph/how-tos/pass-run-time-values-to-tools/),
it suggests to use `InjectedStore` with `create_react_agent`. After
changing my code to use `InjectedStore`, my agent was able to save to
the store.
