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505 | class InvokeHandler[StateT: AgentState](
BaseLoggingMixin,
InterruptConfigMixin,
):
@inject
def __init__(
self,
nodes: dict[str, Node],
edges: list[Edge],
interrupt_before: list[str] | None = None,
interrupt_after: list[str] | None = None,
):
self.nodes: dict[str, Node] = nodes
self.edges: list[Edge] = edges
# Keep existing attributes for backward-compatibility
self.interrupt_before = interrupt_before or []
self.interrupt_after = interrupt_after or []
# And set via mixin for a single source of truth
self._set_interrupts(interrupt_before, interrupt_after)
async def _check_interrupted(
self,
state: StateT,
input_data: dict[str, Any],
config: dict[str, Any],
) -> dict[str, Any]:
if state.is_interrupted():
logger.info(
"Resuming from interrupted state at node '%s'", state.execution_meta.current_node
)
# This is a resume case - clear interrupt and merge input data
if input_data:
config["resume_data"] = input_data
logger.debug("Added resume data with %d keys", len(input_data))
state.clear_interrupt()
elif not input_data.get("messages") and not state.context:
# This is a fresh execution - validate input data
error_msg = "Input data must contain 'messages' for new execution."
logger.error(error_msg)
raise ValueError(error_msg)
else:
logger.info(
"Starting fresh execution with %d messages", len(input_data.get("messages", []))
)
return config
async def _check_and_handle_interrupt(
self,
current_node: str,
interrupt_type: str,
state: StateT,
config: dict[str, Any],
) -> bool:
"""Check for interrupts and save state if needed. Returns True if interrupted."""
interrupt_nodes: list[str] = (
self.interrupt_before if interrupt_type == "before" else self.interrupt_after
) or []
if current_node in interrupt_nodes:
status = (
ExecutionStatus.INTERRUPTED_BEFORE
if interrupt_type == "before"
else ExecutionStatus.INTERRUPTED_AFTER
)
state.set_interrupt(
current_node,
f"interrupt_{interrupt_type}: {current_node}",
status,
)
# Save state and interrupt
await sync_data(
state=state,
config=config,
messages=[],
trim=True,
)
logger.debug("Node '%s' interrupted", current_node)
return True
logger.debug(
"No interrupts found for node '%s', continuing execution",
current_node,
)
return False
async def _check_stop_requested(
self,
state: StateT,
current_node: str,
event: EventModel,
messages: list[Message],
config: dict[str, Any],
) -> bool:
"""Check if a stop has been requested externally."""
state = await reload_state(config, state) # type: ignore
# Check if a stop was requested externally (e.g., frontend)
if state.is_stopped_requested():
logger.info(
"Stop requested for thread '%s' at node '%s'",
config.get("thread_id"),
current_node,
)
state.set_interrupt(
current_node,
"stop_requested",
ExecutionStatus.INTERRUPTED_AFTER,
data={"source": "stop", "info": "requested via is_stopped_requested"},
)
await sync_data(state=state, config=config, messages=messages, trim=True)
event.event_type = EventType.INTERRUPTED
event.metadata["interrupted"] = "Stop"
event.metadata["status"] = "Graph execution stopped by request"
event.data["state"] = state.model_dump()
publish_event(event)
return True
return False
async def _execute_graph( # noqa: PLR0912, PLR0915
self,
state: StateT,
config: dict[str, Any],
) -> tuple[StateT, list[Message]]:
"""Execute the entire graph with support for interrupts and resuming."""
logger.info(
"Starting graph execution from node '%s' at step %d",
state.execution_meta.current_node,
state.execution_meta.step,
)
logger.debug("DEBUG: Current node value: %r", state.execution_meta.current_node)
logger.debug("DEBUG: END constant value: %r", END)
logger.debug("DEBUG: Are they equal? %s", state.execution_meta.current_node == END)
messages: list[Message] = []
max_steps = config.get("recursion_limit", 25)
logger.debug("Max steps limit set to %d", max_steps)
# get the last message from state as that is human message
last_human_message = state.context[-1] if state.context else None
if last_human_message and last_human_message.role != "user":
msg = [msg for msg in reversed(state.context) if msg.role == "user"]
last_human_message = msg[0] if msg else None
if last_human_message:
logger.debug("Last human message: %s", last_human_message.content)
messages.append(last_human_message)
# Get current execution info from state
current_node = state.execution_meta.current_node
step = state.execution_meta.step
# Create event for graph execution
event = EventModel.default(
config,
data={"state": state.model_dump()},
event=Event.GRAPH_EXECUTION,
content_type=[ContentType.STATE],
node_name=current_node,
extra={
"current_node": current_node,
"step": step,
"max_steps": max_steps,
},
)
try:
while current_node != END and step < max_steps:
logger.debug("Executing step %d at node '%s'", step, current_node)
# Reload state in each iteration to get latest (in case of external updates)
res = await self._check_stop_requested(
state,
current_node,
event,
messages,
config,
)
if res:
return state, messages
# Update execution metadata
state.set_current_node(current_node)
state.execution_meta.step = step
await call_realtime_sync(state, config)
event.data["state"] = state.model_dump()
event.metadata["step"] = step
event.metadata["current_node"] = current_node
event.event_type = EventType.PROGRESS
publish_event(event)
# Check for interrupt_before
if await self._check_and_handle_interrupt(
current_node,
"before",
state,
config,
):
logger.info("Graph execution interrupted before node '%s'", current_node)
event.event_type = EventType.INTERRUPTED
event.metadata["interrupted"] = "Before"
event.metadata["status"] = "Graph execution interrupted before node execution"
event.data["interrupted"] = "Before"
publish_event(event)
return state, messages
# Execute current node
logger.debug("Executing node '%s'", current_node)
node = self.nodes[current_node]
# Publish node invocation event
###############################################
##### Node Execution Started ##################
###############################################
result = await node.execute(config, state) # type: ignore
###############################################
##### Node Execution Finished #################
###############################################
logger.debug("Node '%s' execution completed", current_node)
next_node = None
# Process result and get next node
if isinstance(result, list):
# If result is a list of Message, append to messages
messages.extend(result)
logger.debug(
"Node '%s' returned %d messages, total messages now %d",
current_node,
len(result),
len(messages),
)
# Add messages to state context so they're visible to subsequent nodes
state.context = add_messages(state.context, result)
# No state change beyond adding messages, just advance to next node
if isinstance(result, dict):
state = result.get("state", state)
next_node = result.get("next_node")
new_messages = result.get("messages", [])
if new_messages:
messages.extend(new_messages)
logger.debug(
"Node '%s' returned %d messages, total messages now %d",
current_node,
len(new_messages),
len(messages),
)
logger.debug(
"Node result processed, next_node=%s, total_messages=%d",
next_node,
len(messages),
)
# Check stop again after node execution
res = await self._check_stop_requested(
state,
current_node,
event,
messages,
config,
)
if res:
return state, messages
# Call realtime sync after node execution (if state/messages changed)
await call_realtime_sync(state, config)
event.event_type = EventType.UPDATE
event.data["state"] = state.model_dump()
event.data["messages"] = [m.model_dump() for m in messages] if messages else []
if messages:
lm = messages[-1]
event.content = lm.text() if isinstance(lm.content, list) else lm.content
if isinstance(lm.content, list):
event.content_blocks = lm.content
event.content_type = [ContentType.STATE, ContentType.MESSAGE]
publish_event(event)
# Check for interrupt_after
if await self._check_and_handle_interrupt(
current_node,
"after",
state,
config,
):
logger.info("Graph execution interrupted after node '%s'", current_node)
# For interrupt_after, advance to next node before pausing
if next_node is None:
next_node = get_next_node(current_node, state, self.edges)
state.set_current_node(next_node)
event.event_type = EventType.INTERRUPTED
event.data["interrupted"] = "After"
event.metadata["interrupted"] = "After"
event.data["state"] = state.model_dump()
publish_event(event)
return state, messages
# Get next node (only if no explicit navigation from Command)
if next_node is None:
current_node = get_next_node(current_node, state, self.edges)
logger.debug("Next node determined by graph logic: '%s'", current_node)
else:
current_node = next_node
logger.debug("Next node determined by command: '%s'", current_node)
# Check if we've reached the end after determining next node
logger.debug("Checking if current_node '%s' == END '%s'", current_node, END)
if current_node == END:
logger.info("Graph execution reached END node, completing")
break
# Advance step after successful node execution
step += 1
state.advance_step()
await call_realtime_sync(state, config)
event.event_type = EventType.UPDATE
event.metadata["State_Updated"] = "State Updated"
event.data["state"] = state.model_dump()
publish_event(event)
if step >= max_steps:
error_msg = "Graph execution exceeded maximum steps"
logger.error(error_msg)
state.error(error_msg)
await call_realtime_sync(state, config)
event.event_type = EventType.ERROR
event.data["state"] = state.model_dump()
event.metadata["error"] = error_msg
event.metadata["step"] = step
event.metadata["current_node"] = current_node
publish_event(event)
raise GraphRecursionError(
f"Graph execution exceeded recursion limit: {max_steps}"
)
# Execution completed successfully
logger.info(
"Graph execution completed successfully at node '%s' after %d steps",
current_node,
step,
)
state.complete()
res = await sync_data(
state=state,
config=config,
messages=messages,
trim=True,
)
event.event_type = EventType.END
event.data["state"] = state.model_dump()
event.data["messages"] = [m.model_dump() for m in messages] if messages else []
if messages:
fm = messages[-1]
event.content = fm.text() if isinstance(fm.content, list) else fm.content
if isinstance(fm.content, list):
event.content_blocks = fm.content
event.content_type = [ContentType.STATE, ContentType.MESSAGE]
event.metadata["status"] = "Graph execution completed"
event.metadata["step"] = step
event.metadata["current_node"] = current_node
event.metadata["is_context_trimmed"] = res
publish_event(event)
return state, messages
except Exception as e:
# Handle execution errors
logger.exception("Graph execution failed: %s", e)
state.error(str(e))
# Publish error event
event.event_type = EventType.ERROR
event.metadata["error"] = str(e)
event.data["state"] = state.model_dump()
publish_event(event)
await sync_data(
state=state,
config=config,
messages=messages,
trim=True,
)
raise
async def invoke(
self,
input_data: dict[str, Any],
config: dict[str, Any],
default_state: StateT,
response_granularity: ResponseGranularity = ResponseGranularity.LOW,
):
"""Execute the graph asynchronously with event publishing."""
logger.info(
"Starting asynchronous graph execution with %d input keys, granularity=%s",
len(input_data) if input_data else 0,
response_granularity,
)
input_data = input_data or {}
# Load or initialize state
logger.debug("Loading or creating state from input data")
new_state = await load_or_create_state(
input_data,
config,
default_state,
)
state: StateT = new_state # type: ignore[assignment]
logger.debug(
"State loaded: interrupted=%s, current_node=%s, step=%d",
state.is_interrupted(),
state.execution_meta.current_node,
state.execution_meta.step,
)
# Event publishing logic
event = EventModel.default(
config,
data={"state": state.model_dump()},
event=Event.GRAPH_EXECUTION,
content_type=[ContentType.STATE],
node_name=state.execution_meta.current_node,
extra={
"current_node": state.execution_meta.current_node,
"step": state.execution_meta.step,
},
)
event.event_type = EventType.START
publish_event(event)
# Check if this is a resume case
config = await self._check_interrupted(state, input_data, config)
event.event_type = EventType.UPDATE
event.metadata["status"] = "Graph invoked"
publish_event(event)
try:
logger.debug("Beginning graph execution")
event.event_type = EventType.PROGRESS
event.metadata["status"] = "Graph execution started"
publish_event(event)
final_state, messages = await self._execute_graph(state, config)
logger.info("Graph execution completed with %d final messages", len(messages))
event.event_type = EventType.END
event.metadata["status"] = "Graph execution completed"
event.data["state"] = final_state.model_dump()
event.data["messages"] = [m.model_dump() for m in messages] if messages else []
publish_event(event)
return await parse_response(
final_state,
messages,
response_granularity,
)
except Exception as e:
logger.exception("Graph execution failed: %s", e)
event.event_type = EventType.ERROR
event.metadata["status"] = f"Graph execution failed: {e}"
event.data["error"] = str(e)
publish_event(event)
raise
|