diff --git a/libs/prebuilt/langgraph/prebuilt/_internal/__init__.py b/libs/prebuilt/langgraph/prebuilt/_internal/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/libs/prebuilt/langgraph/prebuilt/_internal/_injection.py b/libs/prebuilt/langgraph/prebuilt/_internal/_injection.py
new file mode 100644
index 000000000..82725ecef
--- /dev/null
+++ b/libs/prebuilt/langgraph/prebuilt/_internal/_injection.py
@@ -0,0 +1,160 @@
+from __future__ import annotations
+
+import inspect
+from dataclasses import dataclass
+from typing import Any, Optional, Callable
+
+from langchain_core.runnables import RunnableConfig
+
+from langgraph.store.base import BaseStore
+from langgraph.types import StreamWriter
+
+
+# Special type to denote any type is accepted
+ANY_TYPE = object()
+
+VALID_KINDS = (inspect.Parameter.POSITIONAL_OR_KEYWORD, inspect.Parameter.KEYWORD_ONLY)
+
+
+
+# List of keyword arguments that can be injected into nodes / tasks / tools at runtime.
+# A named argument may appear multiple times if it appears with distinct types.
+KWARGS_CONFIG_KEYS: tuple[tuple[str, tuple[Any, ...], str, Any], ...] = (
+    (
+        "config",
+        (
+            RunnableConfig,
+            "RunnableConfig",
+            Optional[RunnableConfig],
+            "Optional[RunnableConfig]",
+            inspect.Parameter.empty,
+        ),
+        # for now, use config directly, eventually, will pop off of Runtime
+        "N/A",
+        inspect.Parameter.empty,
+    ),
+    (
+        "writer",
+        (StreamWriter, "StreamWriter", inspect.Parameter.empty),
+        "stream_writer",
+        lambda _: None,
+    ),
+    (
+        "store",
+        (
+            BaseStore,
+            "BaseStore",
+            inspect.Parameter.empty,
+        ),
+        "store",
+        inspect.Parameter.empty,
+    ),
+    (
+        "store",
+        (
+            Optional[BaseStore],
+            "Optional[BaseStore]",
+        ),
+        "store",
+        None,
+    ),
+    (
+        "previous",
+        (ANY_TYPE,),
+        "previous",
+        inspect.Parameter.empty,
+    ),
+    (
+        "runtime",
+        (ANY_TYPE,),
+        # we never hit this block, we just inject runtime directly
+        "N/A",
+        inspect.Parameter.empty,
+    ),
+)
+
+
+@dataclass
+class InjectionInfo:
+    """Information about which injected arguments a function supports.
+
+    Attributes:
+        func_accepts: Dictionary mapping argument names to tuples of (runtime_key, default_value)
+        supported_args: Set of argument names that the function accepts for injection
+        has_config: Whether the function accepts a 'config' argument
+        has_writer: Whether the function accepts a 'writer' argument
+        has_store: Whether the function accepts a 'store' argument
+        has_previous: Whether the function accepts a 'previous' argument
+        has_runtime: Whether the function accepts a 'runtime' argument
+    """
+
+    func_accepts: dict[str, tuple[str, Any]]
+    supported_args: set[str]
+    has_config: bool
+    has_writer: bool
+    has_store: bool
+    has_previous: bool
+    has_runtime: bool
+
+
+def get_function_injection_info(func: Callable) -> InjectionInfo:
+    """Determine which injected arguments are supported by a function.
+
+    This function analyzes a function's signature to determine which runtime arguments
+    it can accept for injection. It uses the same logic as RunnableCallable to check
+    parameter names, types, and annotations against the supported injection types.
+
+    Args:
+        func: The function to analyze for injection support
+
+    Returns:
+        InjectionInfo containing details about which arguments the function supports
+
+    Example:
+        ```python
+        def my_tool(x: int, config: RunnableConfig, store: BaseStore) -> str:
+            return f"x={x}, config={config is not None}, store={store is not None}"
+
+        info = get_function_injection_info(my_tool)
+        print(info.has_config)  # True
+        print(info.has_store)   # True
+        print(info.has_writer)  # False
+        print(info.supported_args)  # {'config', 'store'}
+        ```
+    """
+    func_accepts: dict[str, tuple[str, Any]] = {}
+    params = inspect.signature(func).parameters
+
+    for kw, typ, runtime_key, default in KWARGS_CONFIG_KEYS:
+        p = params.get(kw)
+
+        if p is None or p.kind not in VALID_KINDS:
+            # If parameter is not found or is not a valid kind, skip
+            continue
+
+        if typ != (ANY_TYPE,) and p.annotation not in typ:
+            # A specific type is required, but the function annotation does
+            # not match the expected type.
+
+            # If this is a config parameter with incorrect typing, we still accept it
+            # but could emit a warning (following RunnableCallable behavior)
+            if kw == "config" and p.annotation != inspect.Parameter.empty:
+                # Could add warning here if needed
+                pass
+            else:
+                continue
+
+        # If the kwarg is accepted by the function, store the key / runtime attribute to inject
+        func_accepts[kw] = (runtime_key, default)
+
+    supported_args = set(func_accepts.keys())
+
+    return InjectionInfo(
+        func_accepts=func_accepts,
+        supported_args=supported_args,
+        has_config="config" in supported_args,
+        has_writer="writer" in supported_args,
+        has_store="store" in supported_args,
+        has_previous="previous" in supported_args,
+        has_runtime="runtime" in supported_args,
+    )