Update RunnableWithMessageHistory (#14351)

This PR updates RunnableWithMessage history to support user specific
configuration for the factory.

It extends support to passing multiple named arguments into the factory
if the factory takes more than a single argument.

libs/core/langchain_core/runnables/history.py

@@ -4,13 +4,10 @@ import asyncio
 from typing import (
     TYPE_CHECKING,
     Any,
-    Callable,
-    Dict,
     List,
     Optional,
     Sequence,
     Type,
-    Union,
 )
 
 from langchain_core.chat_history import BaseChatMessageHistory
@@ -28,6 +25,9 @@ if TYPE_CHECKING:
     from langchain_core.runnables.config import RunnableConfig
     from langchain_core.tracers.schemas import Run
 
+import inspect
+from typing import Callable, Dict, Union
+
 MessagesOrDictWithMessages = Union[Sequence["BaseMessage"], Dict[str, Any]]
 GetSessionHistoryCallable = Callable[..., BaseChatMessageHistory]
 
@@ -38,8 +38,10 @@ class RunnableWithMessageHistory(RunnableBindingBase):
     Base runnable must have inputs and outputs that can be converted to a list of
         BaseMessages.
 
-    RunnableWithMessageHistory must always be called with a config that contains session_id, e.g.:
-        ``{"configurable": {"session_id": "<SESSION_ID>"}}``
+    RunnableWithMessageHistory must always be called with a config that contains
+        session_id, e.g.:
+
+        ``{"configurable": {"session_id": "<SESSION_ID>"}}`
 
     Example (dict input):
         .. code-block:: python
@@ -79,12 +81,66 @@ class RunnableWithMessageHistory(RunnableBindingBase):
             )
             # -> "The inverse of cosine is called arccosine ..."
 
+
+    Here's an example that uses an in memory chat history, and a factory that
+    takes in two keys (user_id and conversation id) to create a chat history instance.
+
+        .. code-block:: python
+
+            store = {}
+
+            def get_session_history(
+                user_id: str, conversation_id: str
+            ) -> ChatMessageHistory:
+                if (user_id, conversation_id) not in store:
+                    store[(user_id, conversation_id)] = ChatMessageHistory()
+                return store[(user_id, conversation_id)]
+
+            prompt = ChatPromptTemplate.from_messages([
+                ("system", "You're an assistant who's good at {ability}"),
+                MessagesPlaceholder(variable_name="history"),
+                ("human", "{question}"),
+            ])
+
+            chain = prompt | ChatAnthropic(model="claude-2")
+
+            with_message_history = RunnableWithMessageHistory(
+                chain,
+                get_session_history=get_session_history,
+                input_messages_key="messages",
+                history_messages_key="history",
+                history_factory_config=[
+                    ConfigurableFieldSpec(
+                        id="user_id",
+                        annotation=str,
+                        name="User ID",
+                        description="Unique identifier for the user.",
+                        default="",
+                        is_shared=True,
+                    ),
+                    ConfigurableFieldSpec(
+                        id="conversation_id",
+                        annotation=str,
+                        name="Conversation ID",
+                        description="Unique identifier for the conversation.",
+                        default="",
+                        is_shared=True,
+                    ),
+                ],
+            )
+
+            chain_with_history.invoke(
+                {"ability": "math", "question": "What does cosine mean?"},
+                config={"configurable": {"user_id": "123", "conversation_id": "1"}}
+            )
+
     """  # noqa: E501
 
     get_session_history: GetSessionHistoryCallable
     input_messages_key: Optional[str] = None
     output_messages_key: Optional[str] = None
     history_messages_key: Optional[str] = None
+    history_factory_config: Sequence[ConfigurableFieldSpec]
 
     @classmethod
     def get_lc_namespace(cls) -> List[str]:
@@ -102,6 +158,7 @@ class RunnableWithMessageHistory(RunnableBindingBase):
         input_messages_key: Optional[str] = None,
         output_messages_key: Optional[str] = None,
         history_messages_key: Optional[str] = None,
+        history_factory_config: Optional[Sequence[ConfigurableFieldSpec]] = None,
         **kwargs: Any,
     ) -> None:
         """Initialize RunnableWithMessageHistory.
@@ -121,10 +178,10 @@ class RunnableWithMessageHistory(RunnableBindingBase):
                 - A BaseMessage or sequence of BaseMessages
                 - A dict with a key for a BaseMessage or sequence of BaseMessages
 
-            get_session_history: Function that returns a new BaseChatMessageHistory
-                given a session id. Should take a single
-                positional argument `session_id` which is a string and a named argument
-                `user_id` which can be a string or None. e.g.:
+            get_session_history: Function that returns a new BaseChatMessageHistory.
+                This function should either take a single positional argument
+                `session_id` of type string and return a corresponding
+                chat message history instance.
 
                 ```python
                 def get_session_history(
@@ -135,12 +192,29 @@ class RunnableWithMessageHistory(RunnableBindingBase):
                   ...
                 ```
 
+                Or it should take keyword arguments that match the keys of
+                `session_history_config_specs` and return a corresponding
+                chat message history instance.
+
+                ```python
+                def get_session_history(
+                    *,
+                    user_id: str,
+                    thread_id: str,
+                ) -> BaseChatMessageHistory:
+                    ...
+                ```
+
             input_messages_key: Must be specified if the base runnable accepts a dict
                 as input.
             output_messages_key: Must be specified if the base runnable returns a dict
                 as output.
             history_messages_key: Must be specified if the base runnable accepts a dict
                 as input and expects a separate key for historical messages.
+            history_factory_config: Configure fields that should be passed to the
+                chat history factory. See ``ConfigurableFieldSpec`` for more details.
+                Specifying these allows you to pass multiple config keys
+                into the get_session_history factory.
             **kwargs: Arbitrary additional kwargs to pass to parent class
                 ``RunnableBindingBase`` init.
         """  # noqa: E501
@@ -155,20 +229,12 @@ class RunnableWithMessageHistory(RunnableBindingBase):
         bound = (
             history_chain | runnable.with_listeners(on_end=self._exit_history)
         ).with_config(run_name="RunnableWithMessageHistory")
-        super().__init__(
-            get_session_history=get_session_history,
-            input_messages_key=input_messages_key,
-            output_messages_key=output_messages_key,
-            bound=bound,
-            history_messages_key=history_messages_key,
-            **kwargs,
-        )
 
-    @property
-    def config_specs(self) -> List[ConfigurableFieldSpec]:
-        return get_unique_config_specs(
-            super().config_specs
-            + [
+        if history_factory_config:
+            _config_specs = history_factory_config
+        else:
+            # If not provided, then we'll use the default session_id field
+            _config_specs = [
                 ConfigurableFieldSpec(
                     id="session_id",
                     annotation=str,
@@ -178,6 +244,21 @@ class RunnableWithMessageHistory(RunnableBindingBase):
                     is_shared=True,
                 ),
             ]
+
+        super().__init__(
+            get_session_history=get_session_history,
+            input_messages_key=input_messages_key,
+            output_messages_key=output_messages_key,
+            bound=bound,
+            history_messages_key=history_messages_key,
+            history_factory_config=_config_specs,
+            **kwargs,
+        )
+
+    @property
+    def config_specs(self) -> List[ConfigurableFieldSpec]:
+        return get_unique_config_specs(
+            super().config_specs + list(self.history_factory_config)
         )
 
     def get_input_schema(
@@ -278,16 +359,46 @@ class RunnableWithMessageHistory(RunnableBindingBase):
 
     def _merge_configs(self, *configs: Optional[RunnableConfig]) -> RunnableConfig:
         config = super()._merge_configs(*configs)
-        # extract session_id
-        if "session_id" not in config.get("configurable", {}):
+        expected_keys = [field_spec.id for field_spec in self.history_factory_config]
+
+        configurable = config.get("configurable", {})
+
+        missing_keys = set(expected_keys) - set(configurable.keys())
+
+        if missing_keys:
             example_input = {self.input_messages_key: "foo"}
-            example_config = {"configurable": {"session_id": "123"}}
+            example_configurable = {
+                missing_key: "[your-value-here]" for missing_key in missing_keys
+            }
+            example_config = {"configurable": example_configurable}
             raise ValueError(
-                "session_id is required."
-                " Pass it in as part of the config argument to .invoke() or .stream()"
-                f"\neg. chain.invoke({example_input}, {example_config})"
+                f"Missing keys {sorted(missing_keys)} in config['configurable'] "
+                f"Expected keys are {sorted(expected_keys)}."
+                f"When using via .invoke() or .stream(), pass in a config; "
+                f"e.g., chain.invoke({example_input}, {example_config})"
             )
-        # attach message_history
-        session_id = config["configurable"]["session_id"]
-        config["configurable"]["message_history"] = self.get_session_history(session_id)
+
+        parameter_names = _get_parameter_names(self.get_session_history)
+
+        if len(expected_keys) == 1:
+            # If arity = 1, then invoke function by positional arguments
+            message_history = self.get_session_history(configurable[expected_keys[0]])
+        else:
+            # otherwise verify that names of keys patch and invoke by named arguments
+            if set(expected_keys) != set(parameter_names):
+                raise ValueError(
+                    f"Expected keys {sorted(expected_keys)} do not match parameter "
+                    f"names {sorted(parameter_names)} of get_session_history."
+                )
+
+            message_history = self.get_session_history(
+                **{key: configurable[key] for key in expected_keys}
+            )
+        config["configurable"]["message_history"] = message_history
         return config
+
+
+def _get_parameter_names(callable_: GetSessionHistoryCallable) -> List[str]:
+    """Get the parameter names of the callable."""
+    sig = inspect.signature(callable_)
+    return list(sig.parameters.keys())

libs/core/tests/unit_tests/runnables/test_history.py

@@ -1,10 +1,11 @@
-from typing import Any, Callable, Sequence, Union
+from typing import Any, Callable, Dict, List, Sequence, Union
 
 from langchain_core.messages import AIMessage, BaseMessage, HumanMessage, SystemMessage
 from langchain_core.pydantic_v1 import BaseModel
 from langchain_core.runnables.base import RunnableLambda
 from langchain_core.runnables.config import RunnableConfig
 from langchain_core.runnables.history import RunnableWithMessageHistory
+from langchain_core.runnables.utils import ConfigurableFieldSpec
 from tests.unit_tests.fake.memory import ChatMessageHistory
 
 
@@ -130,7 +131,7 @@ def test_output_messages() -> None:
     )
     get_session_history = _get_get_session_history()
     with_history = RunnableWithMessageHistory(
-        runnable,
+        runnable,  # type: ignore
         get_session_history,
         input_messages_key="input",
         history_messages_key="history",
@@ -238,3 +239,114 @@ def test_get_input_schema_input_messages() -> None:
         with_history.get_input_schema().schema()
         == RunnableWithChatHistoryInput.schema()
     )
+
+
+def test_using_custom_config_specs() -> None:
+    """Test that we can configure which keys should be passed to the session factory."""
+
+    def _fake_llm(input: Dict[str, Any]) -> List[BaseMessage]:
+        messages = input["messages"]
+        return [
+            AIMessage(
+                content="you said: "
+                + "\n".join(
+                    str(m.content) for m in messages if isinstance(m, HumanMessage)
+                )
+            )
+        ]
+
+    runnable = RunnableLambda(_fake_llm)
+    store = {}
+
+    def get_session_history(user_id: str, conversation_id: str) -> ChatMessageHistory:
+        if (user_id, conversation_id) not in store:
+            store[(user_id, conversation_id)] = ChatMessageHistory()
+        return store[(user_id, conversation_id)]
+
+    with_message_history = RunnableWithMessageHistory(
+        runnable,  # type: ignore
+        get_session_history=get_session_history,
+        input_messages_key="messages",
+        history_messages_key="history",
+        history_factory_config=[
+            ConfigurableFieldSpec(
+                id="user_id",
+                annotation=str,
+                name="User ID",
+                description="Unique identifier for the user.",
+                default="",
+                is_shared=True,
+            ),
+            ConfigurableFieldSpec(
+                id="conversation_id",
+                annotation=str,
+                name="Conversation ID",
+                description="Unique identifier for the conversation.",
+                default=None,
+                is_shared=True,
+            ),
+        ],
+    )
+    result = with_message_history.invoke(
+        {
+            "messages": [HumanMessage(content="hello")],
+        },
+        {"configurable": {"user_id": "user1", "conversation_id": "1"}},
+    )
+    assert result == [
+        AIMessage(content="you said: hello"),
+    ]
+    assert store == {
+        ("user1", "1"): ChatMessageHistory(
+            messages=[
+                HumanMessage(content="hello"),
+                AIMessage(content="you said: hello"),
+            ]
+        )
+    }
+
+    result = with_message_history.invoke(
+        {
+            "messages": [HumanMessage(content="goodbye")],
+        },
+        {"configurable": {"user_id": "user1", "conversation_id": "1"}},
+    )
+    assert result == [
+        AIMessage(content="you said: goodbye"),
+    ]
+    assert store == {
+        ("user1", "1"): ChatMessageHistory(
+            messages=[
+                HumanMessage(content="hello"),
+                AIMessage(content="you said: hello"),
+                HumanMessage(content="goodbye"),
+                AIMessage(content="you said: goodbye"),
+            ]
+        )
+    }
+
+    result = with_message_history.invoke(
+        {
+            "messages": [HumanMessage(content="meow")],
+        },
+        {"configurable": {"user_id": "user2", "conversation_id": "1"}},
+    )
+    assert result == [
+        AIMessage(content="you said: meow"),
+    ]
+    assert store == {
+        ("user1", "1"): ChatMessageHistory(
+            messages=[
+                HumanMessage(content="hello"),
+                AIMessage(content="you said: hello"),
+                HumanMessage(content="goodbye"),
+                AIMessage(content="you said: goodbye"),
+            ]
+        ),
+        ("user2", "1"): ChatMessageHistory(
+            messages=[
+                HumanMessage(content="meow"),
+                AIMessage(content="you said: meow"),
+            ]
+        ),
+    }