Merge consecutive Messages of the same type.
ToolMessage objects are not merged, as each has a distinct tool call id that
can't be merged.
merge_message_runs(
messages: Iterable[MessageLikeRepresentation] | PromptValue,
*,
chunk_separator: str = '\n'
) -> list[BaseMessage]Example:
from langchain_core.messages import (
merge_message_runs,
AIMessage,
HumanMessage,
SystemMessage,
ToolCall,
)
messages = [
SystemMessage("you're a good assistant."),
HumanMessage(
"what's your favorite color",
id="foo",
),
HumanMessage(
"wait your favorite food",
id="bar",
),
AIMessage(
"my favorite colo",
tool_calls=[
ToolCall(
name="blah_tool", args={"x": 2}, id="123", type="tool_call"
)
],
id="baz",
),
AIMessage(
[{"type": "text", "text": "my favorite dish is lasagna"}],
tool_calls=[
ToolCall(
name="blah_tool",
args={"x": -10},
id="456",
type="tool_call",
)
],
id="blur",
),
]
merge_message_runs(messages)[
SystemMessage("you're a good assistant."),
HumanMessage(
"what's your favorite color\\n"
"wait your favorite food", id="foo",
),
AIMessage(
[
"my favorite colo",
{"type": "text", "text": "my favorite dish is lasagna"}
],
tool_calls=[
ToolCall({
"name": "blah_tool",
"args": {"x": 2},
"id": "123",
"type": "tool_call"
}),
ToolCall({
"name": "blah_tool",
"args": {"x": -10},
"id": "456",
"type": "tool_call"
})
]
id="baz"
),
]
| Name | Type | Description |
|---|---|---|
messages* | Iterable[MessageLikeRepresentation] | PromptValue | Sequence Message-like objects to merge. |
chunk_separator | str | Default: '\n'Specify the string to be inserted between message chunks. |