Files
langgraph/libs/langgraph/langgraph/graph/graph.py
T

557 lines
20 KiB
Python

import logging
from collections import defaultdict
from typing import (
Any,
Awaitable,
Callable,
Hashable,
Literal,
NamedTuple,
Optional,
Sequence,
Union,
cast,
get_args,
get_origin,
get_type_hints,
overload,
)
from langchain_core.runnables import Runnable
from langchain_core.runnables.base import RunnableLike
from langchain_core.runnables.config import RunnableConfig
from langchain_core.runnables.graph import Graph as DrawableGraph
from langchain_core.runnables.graph import Node as DrawableNode
from langgraph.channels.ephemeral_value import EphemeralValue
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.constants import (
CHECKPOINT_NAMESPACE_SEPARATOR,
END,
SEND_CHECKPOINT_NAMESPACE_SEPARATOR,
START,
TAG_HIDDEN,
Send,
)
from langgraph.errors import InvalidUpdateError
from langgraph.pregel import Channel, Pregel
from langgraph.pregel.read import PregelNode
from langgraph.pregel.types import All
from langgraph.pregel.write import ChannelWrite, ChannelWriteEntry
from langgraph.utils import RunnableCallable, coerce_to_runnable
logger = logging.getLogger(__name__)
class NodeSpec(NamedTuple):
runnable: Runnable
metadata: Optional[dict[str, Any]] = None
class Branch(NamedTuple):
path: Runnable[Any, Union[Hashable, list[Hashable]]]
ends: Optional[dict[Hashable, str]]
then: Optional[str] = None
def run(
self,
writer: Callable[[list[str]], Optional[Runnable]],
reader: Optional[Callable[[RunnableConfig], Any]] = None,
) -> None:
return ChannelWrite.register_writer(
RunnableCallable(
func=self._route,
afunc=self._aroute,
writer=writer,
reader=reader,
name=None,
trace=False,
)
)
def _route(
self,
input: Any,
config: RunnableConfig,
*,
reader: Optional[Callable[[], Any]],
writer: Callable[[list[str]], Optional[Runnable]],
) -> Runnable:
if reader:
value = reader(config)
# passthrough additional keys from node to branch
# only doable when using dict states
if isinstance(value, dict) and isinstance(input, dict):
value = {**input, **value}
else:
value = input
result = self.path.invoke(value, config)
return self._finish(writer, input, result)
async def _aroute(
self,
input: Any,
config: RunnableConfig,
*,
reader: Optional[Callable[[], Any]],
writer: Callable[[list[str]], Optional[Runnable]],
) -> Runnable:
if reader:
value = reader(config)
# passthrough additional keys from node to branch
# only doable when using dict states
if isinstance(value, dict) and isinstance(input, dict):
value = {**input, **value}
else:
value = input
result = await self.path.ainvoke(value, config)
return self._finish(writer, input, result)
def _finish(
self, writer: Callable[[list[str]], Optional[Runnable]], input: Any, result: Any
):
if not isinstance(result, list):
result = [result]
if self.ends:
destinations = [r if isinstance(r, Send) else self.ends[r] for r in result]
else:
destinations = result
if any(dest is None or dest == START for dest in destinations):
raise ValueError("Branch did not return a valid destination")
if any(p.node == END for p in destinations if isinstance(p, Send)):
raise InvalidUpdateError("Cannot send a packet to the END node")
return writer(destinations) or input
class Graph:
def __init__(self) -> None:
self.nodes: dict[str, NodeSpec] = {}
self.edges = set[tuple[str, str]]()
self.branches: defaultdict[str, dict[str, Branch]] = defaultdict(dict)
self.support_multiple_edges = False
self.compiled = False
@property
def _all_edges(self) -> set[tuple[str, str]]:
return self.edges
@overload
def add_node(
self,
node: RunnableLike,
*,
metadata: Optional[dict[str, Any]] = None,
) -> None:
...
@overload
def add_node(
self,
node: str,
action: RunnableLike,
*,
metadata: Optional[dict[str, Any]] = None,
) -> None:
...
def add_node(
self,
node: Union[str, RunnableLike],
action: Optional[RunnableLike] = None,
*,
metadata: Optional[dict[str, Any]] = None,
) -> None:
if isinstance(node, str):
for character in (
CHECKPOINT_NAMESPACE_SEPARATOR,
SEND_CHECKPOINT_NAMESPACE_SEPARATOR,
):
if character in node:
raise ValueError(
f"'{character}' is a reserved character and is not allowed in the node names."
)
if self.compiled:
logger.warning(
"Adding a node to a graph that has already been compiled. This will "
"not be reflected in the compiled graph."
)
if not isinstance(node, str):
action = node
node = getattr(action, "name", action.__name__)
if node in self.nodes:
raise ValueError(f"Node `{node}` already present.")
if node == END or node == START:
raise ValueError(f"Node `{node}` is reserved.")
self.nodes[node] = NodeSpec(
coerce_to_runnable(action, name=node, trace=False), metadata
)
def add_edge(self, start_key: str, end_key: str) -> None:
if self.compiled:
logger.warning(
"Adding an edge to a graph that has already been compiled. This will "
"not be reflected in the compiled graph."
)
if start_key == END:
raise ValueError("END cannot be a start node")
if end_key == START:
raise ValueError("START cannot be an end node")
# run this validation only for non-StateGraph graphs
if not hasattr(self, "channels") and start_key in set(
start for start, _ in self.edges
):
raise ValueError(
f"Already found path for node '{start_key}'.\n"
"For multiple edges, use StateGraph with an Annotated state key."
)
self.edges.add((start_key, end_key))
def add_conditional_edges(
self,
source: str,
path: Union[
Callable[..., Union[Hashable, list[Hashable]]],
Callable[..., Awaitable[Union[Hashable, list[Hashable]]]],
Runnable[Any, Union[Hashable, list[Hashable]]],
],
path_map: Optional[Union[dict[Hashable, str], list[str]]] = None,
then: Optional[str] = None,
) -> None:
"""Add a conditional edge from the starting node to any number of destination nodes.
Args:
source (str): The starting node. This conditional edge will run when
exiting this node.
path (Union[Callable, Runnable]): The callable that determines the next
node or nodes. If not specifying `path_map` it should return one or
more nodes. If it returns END, the graph will stop execution.
path_map (Optional[dict[Hashable, str]]): Optional mapping of paths to node
names. If omitted the paths returned by `path` should be node names.
then (Optional[str]): The name of a node to execute after the nodes
selected by `path`.
Returns:
None
Note: Without typehints on the `path` function's return value (e.g., `-> Literal["foo", "__end__"]:`)
or a path_map, the graph visualization assumes the edge could transition to any node in the graph.
""" # noqa: E501
if self.compiled:
logger.warning(
"Adding an edge to a graph that has already been compiled. This will "
"not be reflected in the compiled graph."
)
# coerce path_map to a dictionary
try:
if isinstance(path_map, dict):
path_map = path_map.copy()
elif isinstance(path_map, list):
path_map = {name: name for name in path_map}
elif rtn_type := get_type_hints(path.__call__).get(
"return"
) or get_type_hints(path).get("return"):
if get_origin(rtn_type) is Literal:
path_map = {name: name for name in get_args(rtn_type)}
except Exception:
pass
# find a name for the condition
path = coerce_to_runnable(path, name=None, trace=True)
name = path.name or "condition"
# validate the condition
if name in self.branches[source]:
raise ValueError(
f"Branch with name `{path.name}` already exists for node " f"`{source}`"
)
# save it
self.branches[source][name] = Branch(path, path_map, then)
def set_entry_point(self, key: str) -> None:
"""Specifies the first node to be called in the graph.
Equivalent to calling `add_edge(START, key)`.
Parameters:
key (str): The key of the node to set as the entry point.
Returns:
None
"""
return self.add_edge(START, key)
def set_conditional_entry_point(
self,
path: Union[
Callable[..., Union[Hashable, list[Hashable]]],
Callable[..., Awaitable[Union[Hashable, list[Hashable]]]],
Runnable[Any, Union[Hashable, list[Hashable]]],
],
path_map: Optional[Union[dict[Hashable, str], list[str]]] = None,
then: Optional[str] = None,
) -> None:
"""Sets a conditional entry point in the graph.
Args:
path (Union[Callable, Runnable]): The callable that determines the next
node or nodes. If not specifying `path_map` it should return one or
more nodes. If it returns END, the graph will stop execution.
path_map (Optional[dict[str, str]]): Optional mapping of paths to node
names. If omitted the paths returned by `path` should be node names.
then (Optional[str]): The name of a node to execute after the nodes
selected by `path`.
Returns:
None
"""
return self.add_conditional_edges(START, path, path_map, then)
def set_finish_point(self, key: str) -> None:
"""Marks a node as a finish point of the graph.
If the graph reaches this node, it will cease execution.
Parameters:
key (str): The key of the node to set as the finish point.
Returns:
None
"""
return self.add_edge(key, END)
def validate(self, interrupt: Optional[Sequence[str]] = None) -> None:
# assemble sources
all_sources = {src for src, _ in self._all_edges}
for start, branches in self.branches.items():
all_sources.add(start)
for cond, branch in branches.items():
if branch.then is not None:
if branch.ends is not None:
for end in branch.ends.values():
if end != END:
all_sources.add(end)
else:
for node in self.nodes:
if node != start and node != branch.then:
all_sources.add(node)
# validate sources
for source in all_sources:
if source not in self.nodes and source != START:
raise ValueError(f"Found edge starting at unknown node '{source}'")
# assemble targets
all_targets = {end for _, end in self._all_edges}
for start, branches in self.branches.items():
for cond, branch in branches.items():
if branch.then is not None:
all_targets.add(branch.then)
if branch.ends is not None:
for end in branch.ends.values():
if end not in self.nodes and end != END:
raise ValueError(
f"At '{start}' node, '{cond}' branch found unknown target '{end}'"
)
all_targets.add(end)
else:
all_targets.add(END)
for node in self.nodes:
if node != start and node != branch.then:
all_targets.add(node)
# validate targets
for node in self.nodes:
if node not in all_targets:
raise ValueError(f"Node `{node}` is not reachable")
for target in all_targets:
if target not in self.nodes and target != END:
raise ValueError(f"Found edge ending at unknown node `{target}`")
# validate interrupts
if interrupt:
for node in interrupt:
if node not in self.nodes:
raise ValueError(f"Interrupt node `{node}` not found")
self.compiled = True
def compile(
self,
checkpointer: Optional[BaseCheckpointSaver] = None,
interrupt_before: Optional[Union[All, Sequence[str]]] = None,
interrupt_after: Optional[Union[All, Sequence[str]]] = None,
debug: bool = False,
) -> "CompiledGraph":
# assign default values
interrupt_before = interrupt_before or []
interrupt_after = interrupt_after or []
# validate the graph
self.validate(
interrupt=(
(interrupt_before if interrupt_before != "*" else []) + interrupt_after
if interrupt_after != "*"
else []
)
)
# create empty compiled graph
compiled = CompiledGraph(
builder=self,
nodes={},
channels={START: EphemeralValue(Any), END: EphemeralValue(Any)},
input_channels=START,
output_channels=END,
stream_mode="values",
stream_channels=[],
checkpointer=checkpointer,
interrupt_before_nodes=interrupt_before,
interrupt_after_nodes=interrupt_after,
auto_validate=False,
debug=debug,
)
# attach nodes, edges, and branches
for key, node in self.nodes.items():
compiled.attach_node(key, node)
for start, end in self.edges:
compiled.attach_edge(start, end)
for start, branches in self.branches.items():
for name, branch in branches.items():
compiled.attach_branch(start, name, branch)
# validate the compiled graph
return compiled.validate()
class CompiledGraph(Pregel):
builder: Graph
def attach_node(self, key: str, node: NodeSpec) -> None:
self.channels[key] = EphemeralValue(Any)
self.nodes[key] = (
PregelNode(channels=[], triggers=[], metadata=node.metadata)
| node.runnable
| ChannelWrite([ChannelWriteEntry(key)], tags=[TAG_HIDDEN])
)
cast(list[str], self.stream_channels).append(key)
def attach_edge(self, start: str, end: str) -> None:
if end == END:
# publish to end channel
self.nodes[start].writers.append(
ChannelWrite([ChannelWriteEntry(END)], tags=[TAG_HIDDEN])
)
else:
# subscribe to start channel
self.nodes[end].triggers.append(start)
self.nodes[end].channels.append(start)
def attach_branch(self, start: str, name: str, branch: Branch) -> None:
def branch_writer(packets: list[Union[str, Send]]) -> Optional[ChannelWrite]:
writes = [
(
ChannelWriteEntry(f"branch:{start}:{name}:{p}" if p != END else END)
if not isinstance(p, Send)
else p
)
for p in packets
]
return ChannelWrite(writes, tags=[TAG_HIDDEN])
# add hidden start node
if start == START and start not in self.nodes:
self.nodes[start] = Channel.subscribe_to(START, tags=[TAG_HIDDEN])
# attach branch writer
self.nodes[start] |= branch.run(branch_writer)
# attach branch readers
ends = branch.ends.values() if branch.ends else [node for node in self.nodes]
for end in ends:
if end != END:
channel_name = f"branch:{start}:{name}:{end}"
self.channels[channel_name] = EphemeralValue(Any)
self.nodes[end].triggers.append(channel_name)
self.nodes[end].channels.append(channel_name)
def get_graph(
self,
config: Optional[RunnableConfig] = None,
*,
xray: Union[int, bool] = False,
) -> DrawableGraph:
"""Returns a drawable representation of the computation graph."""
graph = DrawableGraph()
start_nodes: dict[str, DrawableNode] = {
START: graph.add_node(self.get_input_schema(config), START)
}
end_nodes: dict[str, DrawableNode] = {}
def add_edge(
start: str, end: str, label: Optional[str] = None, conditional: bool = False
) -> None:
if end == END and END not in end_nodes:
end_nodes[END] = graph.add_node(self.get_output_schema(config), END)
return graph.add_edge(
start_nodes[start], end_nodes[end], label, conditional
)
for key, n in self.builder.nodes.items():
node = n.runnable
metadata = n.metadata or {}
if key in self.interrupt_before_nodes:
metadata["__interrupt"] = "before"
elif key in self.interrupt_after_nodes:
metadata["__interrupt"] = "after"
if xray:
subgraph = (
node.get_graph(
config=config,
xray=xray - 1 if isinstance(xray, int) and xray > 0 else xray,
)
if isinstance(node, CompiledGraph)
else node.get_graph(config=config)
)
subgraph.trim_first_node()
subgraph.trim_last_node()
if len(subgraph.nodes) > 1:
end_nodes[key], start_nodes[key] = graph.extend(
subgraph, prefix=key
)
else:
n = graph.add_node(node, key, metadata=metadata or None)
start_nodes[key] = n
end_nodes[key] = n
else:
n = graph.add_node(node, key, metadata=metadata or None)
start_nodes[key] = n
end_nodes[key] = n
for start, end in sorted(self.builder._all_edges):
add_edge(start, end)
for start, branches in self.builder.branches.items():
default_ends = {
**{k: k for k in self.builder.nodes if k != start},
END: END,
}
for _, branch in branches.items():
if branch.ends is not None:
ends = branch.ends
elif branch.then is not None:
ends = {k: k for k in default_ends if k not in (END, branch.then)}
else:
ends = default_ends
for label, end in ends.items():
add_edge(
start,
end,
label if label != end else None,
conditional=True,
)
if branch.then is not None:
add_edge(end, branch.then)
return graph