Runnable locals(#9007)

Adds Runnables that can manipulate variables local to a RunnableSequence run

---------

Co-authored-by: Nuno Campos <nuno@boringbits.io>

libs/langchain/langchain/schema/runnable/__init__.py

@@ -1,3 +1,4 @@
+from langchain.schema.runnable._locals import GetLocalVar, PutLocalVar
 from langchain.schema.runnable.base import (
     Runnable,
     RunnableBinding,
@@ -11,6 +12,8 @@ from langchain.schema.runnable.passthrough import RunnablePassthrough
 from langchain.schema.runnable.router import RouterInput, RouterRunnable
 
 __all__ = [
+    "GetLocalVar",
+    "PutLocalVar",
     "RouterInput",
     "RouterRunnable",
     "Runnable",

libs/langchain/langchain/schema/runnable/_locals.py

@@ -0,0 +1,156 @@
+from __future__ import annotations
+
+from typing import Any, AsyncIterator, Dict, Iterator, Mapping, Optional, Union
+
+from langchain.callbacks.manager import (
+    AsyncCallbackManagerForChainRun,
+    CallbackManagerForChainRun,
+)
+from langchain.load.serializable import Serializable
+from langchain.schema.runnable.base import Input, Output, Runnable
+from langchain.schema.runnable.config import RunnableConfig
+from langchain.schema.runnable.passthrough import RunnablePassthrough
+
+
+class PutLocalVar(RunnablePassthrough):
+    key: Union[str, Mapping[str, str]]
+    """The key(s) to use for storing the input variable(s) in local state.
+    
+    If a string is provided then the entire input is stored under that key. If a 
+        Mapping is provided, then the map values are gotten from the input and 
+        stored in local state under the map keys.
+    """
+
+    def __init__(self, key: Union[str, Mapping[str, str]], **kwargs: Any) -> None:
+        super().__init__(key=key, **kwargs)
+
+    def _concat_put(
+        self,
+        input: Input,
+        *,
+        config: Optional[RunnableConfig] = None,
+        replace: bool = False,
+    ) -> None:
+        if config is None:
+            raise ValueError(
+                "PutLocalVar should only be used in a RunnableSequence, and should "
+                "therefore always receive a non-null config."
+            )
+        if isinstance(self.key, str):
+            if self.key not in config["_locals"] or replace:
+                config["_locals"][self.key] = input
+            else:
+                config["_locals"][self.key] += input
+        elif isinstance(self.key, Mapping):
+            if not isinstance(input, Mapping):
+                raise TypeError(
+                    f"Received key of type Mapping but input of type {type(input)}. "
+                    f"input is expected to be of type Mapping when key is Mapping."
+                )
+            for input_key, put_key in self.key.items():
+                if put_key not in config["_locals"] or replace:
+                    config["_locals"][put_key] = input[input_key]
+                else:
+                    config["_locals"][put_key] += input[input_key]
+        else:
+            raise TypeError(
+                f"`key` should be a string or Mapping[str, str], received type "
+                f"{(type(self.key))}."
+            )
+
+    def invoke(self, input: Input, config: Optional[RunnableConfig] = None) -> Input:
+        self._concat_put(input, config=config, replace=True)
+        return super().invoke(input, config=config)
+
+    async def ainvoke(
+        self,
+        input: Input,
+        config: Optional[RunnableConfig] = None,
+        **kwargs: Optional[Any],
+    ) -> Input:
+        self._concat_put(input, config=config, replace=True)
+        return await super().ainvoke(input, config=config)
+
+    def transform(
+        self,
+        input: Iterator[Input],
+        config: Optional[RunnableConfig] = None,
+        **kwargs: Optional[Any],
+    ) -> Iterator[Input]:
+        for chunk in super().transform(input, config=config):
+            self._concat_put(chunk, config=config)
+            yield chunk
+
+    async def atransform(
+        self,
+        input: AsyncIterator[Input],
+        config: Optional[RunnableConfig] = None,
+        **kwargs: Optional[Any],
+    ) -> AsyncIterator[Input]:
+        async for chunk in super().atransform(input, config=config):
+            self._concat_put(chunk, config=config)
+            yield chunk
+
+
+class GetLocalVar(
+    Serializable, Runnable[Input, Union[Output, Dict[str, Union[Input, Output]]]]
+):
+    key: str
+    """The key to extract from the local state."""
+    passthrough_key: Optional[str] = None
+    """The key to use for passing through the invocation input. 
+    
+    If None, then only the value retrieved from local state is returned. Otherwise a 
+        dictionary ``{self.key: <<retrieved_value>>, self.passthrough_key: <<input>>}``
+        is returned.
+    """
+
+    def __init__(self, key: str, **kwargs: Any) -> None:
+        super().__init__(key=key, **kwargs)
+
+    def _get(
+        self,
+        input: Input,
+        run_manager: Union[CallbackManagerForChainRun, Any],
+        config: RunnableConfig,
+    ) -> Union[Output, Dict[str, Union[Input, Output]]]:
+        if self.passthrough_key:
+            return {
+                self.key: config["_locals"][self.key],
+                self.passthrough_key: input,
+            }
+        else:
+            return config["_locals"][self.key]
+
+    async def _aget(
+        self,
+        input: Input,
+        run_manager: AsyncCallbackManagerForChainRun,
+        config: RunnableConfig,
+    ) -> Union[Output, Dict[str, Union[Input, Output]]]:
+        return self._get(input, run_manager, config)
+
+    def invoke(
+        self, input: Input, config: Optional[RunnableConfig] = None
+    ) -> Union[Output, Dict[str, Union[Input, Output]]]:
+        if config is None:
+            raise ValueError(
+                "GetLocalVar should only be used in a RunnableSequence, and should "
+                "therefore always receive a non-null config."
+            )
+
+        return self._call_with_config(self._get, input, config)
+
+    async def ainvoke(
+        self,
+        input: Input,
+        config: Optional[RunnableConfig] = None,
+        **kwargs: Optional[Any],
+    ) -> Union[Output, Dict[str, Union[Input, Output]]]:
+        if config is None:
+            raise ValueError(
+                "GetLocalVar should only be used in a RunnableSequence, and should "
+                "therefore always receive a non-null config."
+            )
+
+        return await self._acall_with_config(self._aget, input, config)

libs/langchain/langchain/schema/runnable/base.py

@@ -5,6 +5,7 @@ import copy
 import threading
 from abc import ABC, abstractmethod
 from concurrent.futures import FIRST_COMPLETED, ThreadPoolExecutor, wait
+from copy import deepcopy
 from functools import partial
 from itertools import tee
 from typing import (
@@ -34,11 +35,16 @@ if TYPE_CHECKING:
     )
 
 
-from langchain.callbacks.base import BaseCallbackManager
 from langchain.load.dump import dumpd
 from langchain.load.serializable import Serializable
 from langchain.pydantic_v1 import Field
-from langchain.schema.runnable.config import RunnableConfig
+from langchain.schema.runnable.config import (
+    RunnableConfig,
+    ensure_config,
+    get_async_callback_manager_for_config,
+    get_callback_manager_for_config,
+    patch_config,
+)
 from langchain.schema.runnable.utils import (
     accepts_run_manager,
     accepts_run_manager_and_config,
@@ -238,9 +244,9 @@ class Runnable(Generic[Input, Output], ABC):
             )
 
         return (
-            config
+            list(map(ensure_config, config))
             if isinstance(config, list)
-            else [config.copy() if config is not None else {} for _ in range(length)]
+            else [deepcopy(ensure_config(config)) for _ in range(length)]
         )
 
     def _call_with_config(
@@ -256,14 +262,8 @@ class Runnable(Generic[Input, Output], ABC):
     ) -> Output:
         """Helper method to transform an Input value to an Output value,
         with callbacks. Use this method to implement invoke() in subclasses."""
-        from langchain.callbacks.manager import CallbackManager
+        config = ensure_config(config)
-
+        callback_manager = get_callback_manager_for_config(config)
-        config = config or {}
-        callback_manager = CallbackManager.configure(
-            inheritable_callbacks=config.get("callbacks"),
-            inheritable_tags=config.get("tags"),
-            inheritable_metadata=config.get("metadata"),
-        )
         run_manager = callback_manager.on_chain_start(
             dumpd(self),
             input,
@@ -303,14 +303,8 @@ class Runnable(Generic[Input, Output], ABC):
     ) -> Output:
         """Helper method to transform an Input value to an Output value,
         with callbacks. Use this method to implement ainvoke() in subclasses."""
-        from langchain.callbacks.manager import AsyncCallbackManager
+        config = ensure_config(config)
-
+        callback_manager = get_async_callback_manager_for_config(config)
-        config = config or {}
-        callback_manager = AsyncCallbackManager.configure(
-            inheritable_callbacks=config.get("callbacks"),
-            inheritable_tags=config.get("tags"),
-            inheritable_metadata=config.get("metadata"),
-        )
         run_manager = await callback_manager.on_chain_start(
             dumpd(self),
             input,
@@ -358,8 +352,6 @@ class Runnable(Generic[Input, Output], ABC):
         """Helper method to transform an Iterator of Input values into an Iterator of
         Output values, with callbacks.
         Use this to implement `stream()` or `transform()` in Runnable subclasses."""
-        from langchain.callbacks.manager import CallbackManager
-
         # tee the input so we can iterate over it twice
         input_for_tracing, input_for_transform = tee(input, 2)
         # Start the input iterator to ensure the input runnable starts before this one
@@ -368,12 +360,8 @@ class Runnable(Generic[Input, Output], ABC):
         final_output: Optional[Output] = None
         final_output_supported = True
 
-        config = config or {}
+        config = ensure_config(config)
-        callback_manager = CallbackManager.configure(
+        callback_manager = get_callback_manager_for_config(config)
-            inheritable_callbacks=config.get("callbacks"),
-            inheritable_tags=config.get("tags"),
-            inheritable_metadata=config.get("metadata"),
-        )
         run_manager = callback_manager.on_chain_start(
             dumpd(self),
             {"input": ""},
@@ -444,8 +432,6 @@ class Runnable(Generic[Input, Output], ABC):
         """Helper method to transform an Async Iterator of Input values into an Async
         Iterator of Output values, with callbacks.
         Use this to implement `astream()` or `atransform()` in Runnable subclasses."""
-        from langchain.callbacks.manager import AsyncCallbackManager
-
         # tee the input so we can iterate over it twice
         input_for_tracing, input_for_transform = atee(input, 2)
         # Start the input iterator to ensure the input runnable starts before this one
@@ -454,12 +440,8 @@ class Runnable(Generic[Input, Output], ABC):
         final_output: Optional[Output] = None
         final_output_supported = True
 
-        config = config or {}
+        config = ensure_config(config)
-        callback_manager = AsyncCallbackManager.configure(
+        callback_manager = get_async_callback_manager_for_config(config)
-            inheritable_callbacks=config.get("callbacks"),
-            inheritable_tags=config.get("tags"),
-            inheritable_metadata=config.get("metadata"),
-        )
         run_manager = await callback_manager.on_chain_start(
             dumpd(self),
             {"input": ""},
@@ -535,19 +517,9 @@ class RunnableWithFallbacks(Serializable, Runnable[Input, Output]):
         yield from self.fallbacks
 
     def invoke(self, input: Input, config: Optional[RunnableConfig] = None) -> Output:
-        from langchain.callbacks.manager import CallbackManager
-
         # setup callbacks
-        config = config or {}
+        config = ensure_config(config)
-        callback_manager = CallbackManager.configure(
+        callback_manager = get_callback_manager_for_config(config)
-            inheritable_callbacks=config.get("callbacks"),
-            local_callbacks=None,
-            verbose=False,
-            inheritable_tags=config.get("tags"),
-            local_tags=None,
-            inheritable_metadata=config.get("metadata"),
-            local_metadata=None,
-        )
         # start the root run
         run_manager = callback_manager.on_chain_start(dumpd(self), input)
         first_error = None
@@ -577,19 +549,9 @@ class RunnableWithFallbacks(Serializable, Runnable[Input, Output]):
         config: Optional[RunnableConfig] = None,
         **kwargs: Optional[Any],
     ) -> Output:
-        from langchain.callbacks.manager import AsyncCallbackManager
-
         # setup callbacks
-        config = config or {}
+        config = ensure_config(config)
-        callback_manager = AsyncCallbackManager.configure(
+        callback_manager = get_async_callback_manager_for_config(config)
-            inheritable_callbacks=config.get("callbacks"),
-            local_callbacks=None,
-            verbose=False,
-            inheritable_tags=config.get("tags"),
-            local_tags=None,
-            inheritable_metadata=config.get("metadata"),
-            local_metadata=None,
-        )
         # start the root run
         run_manager = await callback_manager.on_chain_start(dumpd(self), input)
 
@@ -808,19 +770,9 @@ class RunnableSequence(Serializable, Runnable[Input, Output]):
             )
 
     def invoke(self, input: Input, config: Optional[RunnableConfig] = None) -> Output:
-        from langchain.callbacks.manager import CallbackManager
-
         # setup callbacks
-        config = config or {}
+        config = ensure_config(config)
-        callback_manager = CallbackManager.configure(
+        callback_manager = get_callback_manager_for_config(config)
-            inheritable_callbacks=config.get("callbacks"),
-            local_callbacks=None,
-            verbose=False,
-            inheritable_tags=config.get("tags"),
-            local_tags=None,
-            inheritable_metadata=config.get("metadata"),
-            local_metadata=None,
-        )
         # start the root run
         run_manager = callback_manager.on_chain_start(dumpd(self), input)
 
@@ -846,19 +798,9 @@ class RunnableSequence(Serializable, Runnable[Input, Output]):
         config: Optional[RunnableConfig] = None,
         **kwargs: Optional[Any],
     ) -> Output:
-        from langchain.callbacks.manager import AsyncCallbackManager
-
         # setup callbacks
-        config = config or {}
+        config = ensure_config(config)
-        callback_manager = AsyncCallbackManager.configure(
+        callback_manager = get_async_callback_manager_for_config(config)
-            inheritable_callbacks=config.get("callbacks"),
-            local_callbacks=None,
-            verbose=False,
-            inheritable_tags=config.get("tags"),
-            local_tags=None,
-            inheritable_metadata=config.get("metadata"),
-            local_metadata=None,
-        )
         # start the root run
         run_manager = await callback_manager.on_chain_start(dumpd(self), input)
 
@@ -993,19 +935,9 @@ class RunnableSequence(Serializable, Runnable[Input, Output]):
         config: Optional[RunnableConfig] = None,
         **kwargs: Optional[Any],
     ) -> Iterator[Output]:
-        from langchain.callbacks.manager import CallbackManager
-
         # setup callbacks
-        config = config or {}
+        config = ensure_config(config)
-        callback_manager = CallbackManager.configure(
+        callback_manager = get_callback_manager_for_config(config)
-            inheritable_callbacks=config.get("callbacks"),
-            local_callbacks=None,
-            verbose=False,
-            inheritable_tags=config.get("tags"),
-            local_tags=None,
-            inheritable_metadata=config.get("metadata"),
-            local_metadata=None,
-        )
         # start the root run
         run_manager = callback_manager.on_chain_start(dumpd(self), input)
 
@@ -1069,19 +1001,9 @@ class RunnableSequence(Serializable, Runnable[Input, Output]):
         config: Optional[RunnableConfig] = None,
         **kwargs: Optional[Any],
     ) -> AsyncIterator[Output]:
-        from langchain.callbacks.manager import AsyncCallbackManager
-
         # setup callbacks
-        config = config or {}
+        config = ensure_config(config)
-        callback_manager = AsyncCallbackManager.configure(
+        callback_manager = get_async_callback_manager_for_config(config)
-            inheritable_callbacks=config.get("callbacks"),
-            local_callbacks=None,
-            verbose=False,
-            inheritable_tags=config.get("tags"),
-            local_tags=None,
-            inheritable_metadata=config.get("metadata"),
-            local_metadata=None,
-        )
         # start the root run
         run_manager = await callback_manager.on_chain_start(dumpd(self), input)
 
@@ -1193,7 +1115,7 @@ class RunnableMap(Serializable, Runnable[Input, Dict[str, Any]]):
         from langchain.callbacks.manager import CallbackManager
 
         # setup callbacks
-        config = config or {}
+        config = ensure_config(config)
         callback_manager = CallbackManager.configure(
             inheritable_callbacks=config.get("callbacks"),
             local_callbacks=None,
@@ -1216,7 +1138,7 @@ class RunnableMap(Serializable, Runnable[Input, Dict[str, Any]]):
                         step.invoke,
                         input,
                         # mark each step as a child run
-                        patch_config(config, run_manager.get_child()),
+                        patch_config(deepcopy(config), run_manager.get_child()),
                     )
                     for step in steps.values()
                 ]
@@ -1235,19 +1157,9 @@ class RunnableMap(Serializable, Runnable[Input, Dict[str, Any]]):
         config: Optional[RunnableConfig] = None,
         **kwargs: Optional[Any],
     ) -> Dict[str, Any]:
-        from langchain.callbacks.manager import AsyncCallbackManager
-
         # setup callbacks
-        config = config or {}
+        config = ensure_config(config)
-        callback_manager = AsyncCallbackManager.configure(
+        callback_manager = get_async_callback_manager_for_config(config)
-            inheritable_callbacks=config.get("callbacks"),
-            local_callbacks=None,
-            verbose=False,
-            inheritable_tags=config.get("tags"),
-            local_tags=None,
-            inheritable_metadata=config.get("metadata"),
-            local_metadata=None,
-        )
         # start the root run
         run_manager = await callback_manager.on_chain_start(dumpd(self), input)
 
@@ -1540,14 +1452,6 @@ class RunnableBinding(Serializable, Runnable[Input, Output]):
             yield item
 
 
-def patch_config(
-    config: RunnableConfig, callback_manager: BaseCallbackManager
-) -> RunnableConfig:
-    config = config.copy()
-    config["callbacks"] = callback_manager
-    return config
-
-
 def coerce_to_runnable(
     thing: Union[
         Runnable[Input, Output],

libs/langchain/langchain/schema/runnable/config.py

@@ -1,8 +1,9 @@
 from __future__ import annotations
 
-from typing import Any, Dict, List, TypedDict
+from typing import Any, Dict, List, Optional, TypedDict
 
-from langchain.callbacks.base import Callbacks
+from langchain.callbacks.base import BaseCallbackManager, Callbacks
+from langchain.callbacks.manager import AsyncCallbackManager, CallbackManager
 
 
 class RunnableConfig(TypedDict, total=False):
@@ -25,3 +26,42 @@ class RunnableConfig(TypedDict, total=False):
     Callbacks for this call and any sub-calls (eg. a Chain calling an LLM).
     Tags are passed to all callbacks, metadata is passed to handle*Start callbacks.
     """
+
+    _locals: Dict[str, Any]
+    """
+    Local variables
+    """
+
+
+def ensure_config(config: Optional[RunnableConfig]) -> RunnableConfig:
+    empty = RunnableConfig(tags=[], metadata={}, callbacks=None, _locals={})
+    if config is not None:
+        empty.update(config)
+    return empty
+
+
+def patch_config(
+    config: RunnableConfig,
+    callbacks: BaseCallbackManager,
+) -> RunnableConfig:
+    config = config.copy()
+    config["callbacks"] = callbacks
+    return config
+
+
+def get_callback_manager_for_config(config: RunnableConfig) -> CallbackManager:
+    return CallbackManager.configure(
+        inheritable_callbacks=config.get("callbacks"),
+        inheritable_tags=config.get("tags"),
+        inheritable_metadata=config.get("metadata"),
+    )
+
+
+def get_async_callback_manager_for_config(
+    config: RunnableConfig,
+) -> AsyncCallbackManager:
+    return AsyncCallbackManager.configure(
+        inheritable_callbacks=config.get("callbacks"),
+        inheritable_tags=config.get("tags"),
+        inheritable_metadata=config.get("metadata"),
+    )

libs/langchain/langchain/schema/runnable/passthrough.py

@@ -47,10 +47,11 @@ class RunnablePassthrough(Serializable, Runnable[Input, Input]):
     ) -> Iterator[Input]:
         return self._transform_stream_with_config(input, identity, config)
 
-    def atransform(
+    async def atransform(
         self,
         input: AsyncIterator[Input],
         config: Optional[RunnableConfig] = None,
         **kwargs: Any,
     ) -> AsyncIterator[Input]:
-        return self._atransform_stream_with_config(input, identity, config)
+        async for chunk in self._atransform_stream_with_config(input, identity, config):
+            yield chunk

libs/langchain/tests/unit_tests/schema/runnable/__snapshots__/test_runnable.ambr

@@ -1352,6 +1352,7 @@
                   "lc": 1,
                   "type": "not_implemented",
                   "id": [
+                    "runnable",
                     "test_runnable",
                     "FakeRetriever"
                   ]

libs/langchain/tests/unit_tests/schema/runnable/test_locals.py

@@ -0,0 +1,93 @@
+from typing import Any, Callable, Type
+
+import pytest
+
+from langchain import PromptTemplate
+from langchain.llms import FakeListLLM
+from langchain.schema.runnable import (
+    GetLocalVar,
+    PutLocalVar,
+    RunnablePassthrough,
+    RunnableSequence,
+)
+
+
+@pytest.mark.parametrize(
+    ("method", "input", "output"),
+    [
+        (lambda r, x: r.invoke(x), "foo", "foo"),
+        (lambda r, x: r.batch(x), ["foo", "bar"], ["foo", "bar"]),
+        (lambda r, x: list(r.stream(x))[0], "foo", "foo"),
+    ],
+)
+def test_put_get(method: Callable, input: Any, output: Any) -> None:
+    runnable = PutLocalVar("input") | GetLocalVar("input")
+    assert method(runnable, input) == output
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    ("method", "input", "output"),
+    [
+        (lambda r, x: r.ainvoke(x), "foo", "foo"),
+        (lambda r, x: r.abatch(x), ["foo", "bar"], ["foo", "bar"]),
+    ],
+)
+async def test_put_get_async(method: Callable, input: Any, output: Any) -> None:
+    runnable = PutLocalVar("input") | GetLocalVar("input")
+    assert await method(runnable, input) == output
+
+
+@pytest.mark.parametrize(
+    ("runnable", "error"),
+    [
+        (PutLocalVar("input"), ValueError),
+        (GetLocalVar("input"), ValueError),
+        (PutLocalVar("input") | GetLocalVar("missing"), KeyError),
+    ],
+)
+def test_incorrect_usage(runnable: RunnableSequence, error: Type[Exception]) -> None:
+    with pytest.raises(error):
+        runnable.invoke("foo")
+
+
+def test_get_in_map() -> None:
+    runnable: RunnableSequence = PutLocalVar("input") | {"bar": GetLocalVar("input")}
+    assert runnable.invoke("foo") == {"bar": "foo"}
+
+
+def test_put_in_map() -> None:
+    runnable: RunnableSequence = {"bar": PutLocalVar("input")} | GetLocalVar("input")
+    with pytest.raises(KeyError):
+        runnable.invoke("foo")
+
+
+@pytest.mark.parametrize(
+    "runnable",
+    [
+        PutLocalVar("input") | GetLocalVar("input", passthrough_key="output"),
+        (
+            PutLocalVar("input")
+            | {"input": RunnablePassthrough()}
+            | PromptTemplate.from_template("say {input}")
+            | FakeListLLM(responses=["hello"])
+            | GetLocalVar("input", passthrough_key="output")
+        ),
+    ],
+)
+@pytest.mark.parametrize(
+    ("method", "input", "output"),
+    [
+        (lambda r, x: r.invoke(x), "hello", {"input": "hello", "output": "hello"}),
+        (lambda r, x: r.batch(x), ["hello"], [{"input": "hello", "output": "hello"}]),
+        (
+            lambda r, x: list(r.stream(x))[0],
+            "hello",
+            {"input": "hello", "output": "hello"},
+        ),
+    ],
+)
+def test_put_get_sequence(
+    runnable: RunnableSequence, method: Callable, input: Any, output: Any
+) -> None:
+    assert method(runnable, input) == output

libs/langchain/tests/unit_tests/schema/runnable/test_runnable.py

@@ -132,15 +132,24 @@ async def test_default_method_implementations(mocker: MockerFixture) -> None:
         ["hello", "wooorld"], [dict(tags=["a-tag"]), dict(metadata={"key": "value"})]
     ) == [5, 7]
     assert spy.call_args_list == [
-        mocker.call("hello", dict(tags=["a-tag"])),
+        mocker.call(
-        mocker.call("wooorld", dict(metadata={"key": "value"})),
+            "hello", dict(tags=["a-tag"], metadata={}, callbacks=None, _locals={})
+        ),
+        mocker.call(
+            "wooorld",
+            dict(metadata={"key": "value"}, tags=[], callbacks=None, _locals={}),
+        ),
     ]
     spy.reset_mock()
 
     assert fake.batch(["hello", "wooorld"], dict(tags=["a-tag"])) == [5, 7]
     assert spy.call_args_list == [
-        mocker.call("hello", dict(tags=["a-tag"])),
+        mocker.call(
-        mocker.call("wooorld", dict(tags=["a-tag"])),
+            "hello", dict(tags=["a-tag"], metadata={}, callbacks=None, _locals={})
+        ),
+        mocker.call(
+            "wooorld", dict(tags=["a-tag"], metadata={}, callbacks=None, _locals={})
+        ),
     ]
     spy.reset_mock()
 
@@ -161,8 +170,14 @@ async def test_default_method_implementations(mocker: MockerFixture) -> None:
         7,
     ]
     assert spy.call_args_list == [
-        mocker.call("hello", dict(metadata={"key": "value"})),
+        mocker.call(
-        mocker.call("wooorld", dict(metadata={"key": "value"})),
+            "hello",
+            dict(metadata={"key": "value"}, tags=[], callbacks=None, _locals={}),
+        ),
+        mocker.call(
+            "wooorld",
+            dict(metadata={"key": "value"}, tags=[], callbacks=None, _locals={}),
+        ),
     ]