langchain-ai/langgraph · error · ValueError
Cannot inject store into tools with InjectedStore annotation
Error message
Cannot inject store into tools with InjectedStore annotations - please compile your graph with a store.
What it means
Error "Cannot inject store into tools with InjectedStore annotations - please compile your graph with a store." thrown in langchain-ai/langgraph.
Source
Thrown at libs/prebuilt/langgraph/prebuilt/tool_node.py:1414
elif tool_arg not in injected._optional_state_args:
raise KeyError(state_field)
else:
for tool_arg, state_field in injected.state.items():
if not state_field:
injected_args[tool_arg] = state
elif hasattr(state, state_field):
injected_args[tool_arg] = getattr(state, state_field)
elif tool_arg not in injected._optional_state_args:
raise AttributeError(state_field)
# Inject store
if injected.store:
if tool_runtime.store is None:
msg = (
"Cannot inject store into tools with InjectedStore annotations - "
"please compile your graph with a store."
)
raise ValueError(msg)
injected_args[injected.store] = tool_runtime.store
# Inject runtime
if injected.runtime:
injected_args[injected.runtime] = tool_runtime
# Strip any caller-supplied values for injected args, then add
# back only trusted values. This prevents an LLM from forging
# hidden InjectedToolArg fields via ToolCall.args.
stripped_args = {
k: v
for k, v in tool_call_copy["args"].items()
if k not in injected.all_injected_keys
}
tool_call_copy["args"] = {**stripped_args, **injected_args}
return tool_call_copy
def _normalize_tool_response(View on GitHub (pinned to 38031739e5)
When it happens
Trigger: Thrown at libs/prebuilt/langgraph/prebuilt/tool_node.py:1414 when the library encounters an invalid state.
Common situations: See trigger scenarios.
AI-assisted analysis of langchain-ai/langgraph@38031739e5 (2026-08-26).
Data as JSON: /api/errors/ef3dc0851a8f3889.
Report an issue: GitHub.