dify/api/clients/agent_backend/event_adapter.py

187 lines
7.2 KiB
Python

"""Adapt public ``dify-agent`` run events into API-internal event semantics.
The adapter does not define a new cross-service event contract. It consumes
``dify_agent.protocol.RunEvent`` and produces small API-internal models that the
workflow Agent Node maps to Graphon/AppQueue events. Deferred external tool calls
remain Dify Agent ``run_succeeded`` payloads on the wire; API code turns them
into an internal event so workflow pause/session handling stays local to API.
"""
from __future__ import annotations
from enum import StrEnum
from typing import Annotated, Literal, cast
from agenton.compositor import CompositorSessionSnapshot
from dify_agent.protocol import (
DeferredToolCallPayload,
PydanticAIStreamRunEvent,
RunCancelledEvent,
RunEvent,
RunFailedEvent,
RunStartedEvent,
RunSucceededEvent,
)
from pydantic import BaseModel, ConfigDict, Field, JsonValue, TypeAdapter
_EVENT_DATA_ADAPTER = TypeAdapter(object)
class AgentBackendInternalEventType(StrEnum):
"""API-only event labels used before Graphon/AppQueue integration."""
RUN_STARTED = "run_started"
STREAM_EVENT = "stream_event"
DEFERRED_TOOL_CALL = "deferred_tool_call"
RUN_SUCCEEDED = "run_succeeded"
RUN_FAILED = "run_failed"
RUN_CANCELLED = "run_cancelled"
class AgentBackendInternalEventBase(BaseModel):
"""Common fields preserved from public Dify Agent run events."""
run_id: str
source_event_id: str | None = None
model_config = ConfigDict(extra="forbid", arbitrary_types_allowed=True)
class AgentBackendRunStartedInternalEvent(AgentBackendInternalEventBase):
"""API-internal marker for a started Agent backend run."""
type: Literal[AgentBackendInternalEventType.RUN_STARTED] = AgentBackendInternalEventType.RUN_STARTED
class AgentBackendStreamInternalEvent(AgentBackendInternalEventBase):
"""API-internal wrapper for one pydantic-ai stream event payload."""
type: Literal[AgentBackendInternalEventType.STREAM_EVENT] = AgentBackendInternalEventType.STREAM_EVENT
event_kind: str | None = None
data: JsonValue
class AgentBackendRunSucceededInternalEvent(AgentBackendInternalEventBase):
"""API-internal terminal success event carrying final output and session state."""
type: Literal[AgentBackendInternalEventType.RUN_SUCCEEDED] = AgentBackendInternalEventType.RUN_SUCCEEDED
output: JsonValue
session_snapshot: CompositorSessionSnapshot
class AgentBackendDeferredToolCallInternalEvent(AgentBackendInternalEventBase):
"""API-internal representation of a Dify Agent deferred external tool call."""
type: Literal[AgentBackendInternalEventType.DEFERRED_TOOL_CALL] = AgentBackendInternalEventType.DEFERRED_TOOL_CALL
deferred_tool_call: DeferredToolCallPayload
message: str | None = None
session_snapshot: CompositorSessionSnapshot
class AgentBackendRunFailedInternalEvent(AgentBackendInternalEventBase):
"""API-internal terminal failure event carrying the backend-safe error text."""
type: Literal[AgentBackendInternalEventType.RUN_FAILED] = AgentBackendInternalEventType.RUN_FAILED
error: str
reason: str | None = None
class AgentBackendRunCancelledInternalEvent(AgentBackendInternalEventBase):
"""API-internal terminal cancellation event."""
type: Literal[AgentBackendInternalEventType.RUN_CANCELLED] = AgentBackendInternalEventType.RUN_CANCELLED
reason: str | None = None
message: str | None = None
type AgentBackendInternalEvent = Annotated[
AgentBackendRunStartedInternalEvent
| AgentBackendStreamInternalEvent
| AgentBackendDeferredToolCallInternalEvent
| AgentBackendRunSucceededInternalEvent
| AgentBackendRunFailedInternalEvent
| AgentBackendRunCancelledInternalEvent,
Field(discriminator="type"),
]
class AgentBackendRunEventAdapter:
"""Maps public ``dify-agent`` event variants to API-internal event variants."""
def adapt(self, event: RunEvent) -> list[AgentBackendInternalEvent]:
"""Return zero or more API-internal events derived from one public run event."""
match event:
case RunStartedEvent():
return [
AgentBackendRunStartedInternalEvent(
run_id=event.run_id,
source_event_id=event.id,
)
]
case PydanticAIStreamRunEvent():
data = cast(JsonValue, _EVENT_DATA_ADAPTER.dump_python(event.data, mode="json"))
event_kind = data.get("event_kind") if isinstance(data, dict) else None
return [
AgentBackendStreamInternalEvent(
run_id=event.run_id,
source_event_id=event.id,
event_kind=event_kind if isinstance(event_kind, str) else None,
data=data,
)
]
case RunSucceededEvent():
if "deferred_tool_call" in event.data.model_fields_set:
if event.data.deferred_tool_call is None:
raise TypeError("run_succeeded deferred_tool_call branch is missing payload")
return [
AgentBackendDeferredToolCallInternalEvent(
run_id=event.run_id,
source_event_id=event.id,
deferred_tool_call=event.data.deferred_tool_call,
message=_deferred_tool_call_message(event.data.deferred_tool_call),
session_snapshot=event.data.session_snapshot,
)
]
return [
AgentBackendRunSucceededInternalEvent(
run_id=event.run_id,
source_event_id=event.id,
output=event.data.output,
session_snapshot=event.data.session_snapshot,
)
]
case RunFailedEvent():
return [
AgentBackendRunFailedInternalEvent(
run_id=event.run_id,
source_event_id=event.id,
error=event.data.error,
reason=event.data.reason,
)
]
case RunCancelledEvent():
return [
AgentBackendRunCancelledInternalEvent(
run_id=event.run_id,
source_event_id=event.id,
reason=event.data.reason,
message=event.data.message,
)
]
raise TypeError(f"unsupported agent backend run event: {type(event).__name__}")
def _deferred_tool_call_message(payload: DeferredToolCallPayload) -> str:
"""Return a concise workflow pause message from deferred-tool arguments."""
args = payload.args
if isinstance(args, dict):
question = args.get("question")
if isinstance(question, str) and question.strip():
return question
title = args.get("title")
if isinstance(title, str) and title.strip():
return title
return f"Agent backend requested external input via deferred tool '{payload.tool_name}'."