function.py — langchain Source File
Architecture documentation for function.py, a python file in the langchain codebase. 4 imports, 0 dependents.
Entity Profile
Dependency Diagram
graph LR e7574e5e_5760_2a55_9908_a679fe8dfedf["function.py"] 8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3["typing"] e7574e5e_5760_2a55_9908_a679fe8dfedf --> 8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3 91721f45_4909_e489_8c1f_084f8bd87145["typing_extensions"] e7574e5e_5760_2a55_9908_a679fe8dfedf --> 91721f45_4909_e489_8c1f_084f8bd87145 a1369c93_b21f_2edb_d15c_ec3e09ac1e42["langchain_core.messages.base"] e7574e5e_5760_2a55_9908_a679fe8dfedf --> a1369c93_b21f_2edb_d15c_ec3e09ac1e42 053c6d65_7a74_9819_7c2a_c7357c95d2b8["langchain_core.utils._merge"] e7574e5e_5760_2a55_9908_a679fe8dfedf --> 053c6d65_7a74_9819_7c2a_c7357c95d2b8 style e7574e5e_5760_2a55_9908_a679fe8dfedf fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
"""Function Message."""
from typing import Any, Literal
from typing_extensions import override
from langchain_core.messages.base import (
BaseMessage,
BaseMessageChunk,
merge_content,
)
from langchain_core.utils._merge import merge_dicts
class FunctionMessage(BaseMessage):
"""Message for passing the result of executing a tool back to a model.
`FunctionMessage` are an older version of the `ToolMessage` schema, and
do not contain the `tool_call_id` field.
The `tool_call_id` field is used to associate the tool call request with the
tool call response. Useful in situations where a chat model is able
to request multiple tool calls in parallel.
"""
name: str
"""The name of the function that was executed."""
type: Literal["function"] = "function"
"""The type of the message (used for serialization)."""
class FunctionMessageChunk(FunctionMessage, BaseMessageChunk):
"""Function Message chunk."""
# Ignoring mypy re-assignment here since we're overriding the value
# to make sure that the chunk variant can be discriminated from the
# non-chunk variant.
type: Literal["FunctionMessageChunk"] = "FunctionMessageChunk" # type: ignore[assignment]
"""The type of the message (used for serialization)."""
@override
def __add__(self, other: Any) -> BaseMessageChunk: # type: ignore[override]
if isinstance(other, FunctionMessageChunk):
if self.name != other.name:
msg = "Cannot concatenate FunctionMessageChunks with different names."
raise ValueError(msg)
return self.__class__(
name=self.name,
content=merge_content(self.content, other.content),
additional_kwargs=merge_dicts(
self.additional_kwargs, other.additional_kwargs
),
response_metadata=merge_dicts(
self.response_metadata, other.response_metadata
),
id=self.id,
)
return super().__add__(other)
Domain
Subdomains
Dependencies
- langchain_core.messages.base
- langchain_core.utils._merge
- typing
- typing_extensions
Source
Frequently Asked Questions
What does function.py do?
function.py is a source file in the langchain codebase, written in python. It belongs to the CoreAbstractions domain, MessageSchema subdomain.
What does function.py depend on?
function.py imports 4 module(s): langchain_core.messages.base, langchain_core.utils._merge, typing, typing_extensions.
Where is function.py in the architecture?
function.py is located at libs/core/langchain_core/messages/function.py (domain: CoreAbstractions, subdomain: MessageSchema, directory: libs/core/langchain_core/messages).
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