From 6cf0d4f85bdcff26d0543d8953ed34bd1c84d0e1 Mon Sep 17 00:00:00 2001
From: Brian Krabach <brkrabac@microsoft.com>
Date: Fri, 22 Nov 2024 08:51:45 -0800
Subject: [PATCH] Workflow lite (#256)

Early merge of workflow-lite experiment. This helped expose an issue
with SSE event listeners, so merging this to go fix that separately.
Will further develop this experimental feature after the event fix and
early usage.
---
 .../explorer-assistant/assistant/chat.py      |  13 +-
 .../explorer-assistant/assistant/config.py    |   9 +
 assistants/explorer-assistant/uv.lock         | 215 +++++++-------
 .../prospector-assistant/assistant/chat.py    |   4 +-
 assistants/prospector-assistant/uv.lock       | 272 ++++++++++-------
 .../.vscode/settings.json                     |   2 +
 .../attachments/_attachments.py               |   2 +-
 .../workflows/__init__.py                     |   4 +
 .../assistant_extensions/workflows/_model.py  |  64 ++++
 .../workflows/_workflows.py                   | 129 ++++++++
 .../workflows/runners/_user_proxy.py          | 275 ++++++++++++++++++
 .../assistant-extensions/pyproject.toml       |   6 +-
 libraries/python/assistant-extensions/uv.lock |  38 +++
 .../workbench_model.py                        |   1 +
 .../workbench_service_client.py               |  40 +++
 .../assistant_app/context.py                  |   2 +-
 .../src/libs/useConversationEvents.ts         |   7 -
 .../controller/assistant.py                   | 195 +++++++++++++
 .../controller/conversation.py                |   9 +-
 .../semantic_workbench_service/service.py     |  28 +-
 20 files changed, 1093 insertions(+), 222 deletions(-)
 create mode 100644 libraries/python/assistant-extensions/assistant_extensions/workflows/__init__.py
 create mode 100644 libraries/python/assistant-extensions/assistant_extensions/workflows/_model.py
 create mode 100644 libraries/python/assistant-extensions/assistant_extensions/workflows/_workflows.py
 create mode 100644 libraries/python/assistant-extensions/assistant_extensions/workflows/runners/_user_proxy.py

diff --git a/assistants/explorer-assistant/assistant/chat.py b/assistants/explorer-assistant/assistant/chat.py
index b36d0a3b..0bebe2b3 100644
--- a/assistants/explorer-assistant/assistant/chat.py
+++ b/assistants/explorer-assistant/assistant/chat.py
@@ -15,6 +15,7 @@
 from assistant_extensions.artifacts import ArtifactsExtension
 from assistant_extensions.artifacts._model import ArtifactsConfigModel
 from assistant_extensions.attachments import AttachmentsExtension
+from assistant_extensions.workflows import WorkflowsConfigModel, WorkflowsExtension
 from content_safety.evaluators import CombinedContentSafetyEvaluator
 from openai.types.chat import (
     ChatCompletion,
@@ -79,12 +80,17 @@ async def content_evaluator_factory(context: ConversationContext) -> ContentSafe
 )
 
 
-async def artifact_config_provider(context: AssistantContext) -> ArtifactsConfigModel:
+async def artifacts_config_provider(context: AssistantContext) -> ArtifactsConfigModel:
     return (await assistant_config.get(context)).extensions_config.artifacts
 
 
-artifacts_extension = ArtifactsExtension(assistant, artifact_config_provider)
+async def workflows_config_provider(context: AssistantContext) -> WorkflowsConfigModel:
+    return (await assistant_config.get(context)).extensions_config.workflows
+
+
+artifacts_extension = ArtifactsExtension(assistant, artifacts_config_provider)
 attachments_extension = AttachmentsExtension(assistant)
+workflows_extension = WorkflowsExtension(assistant, "content_safety", workflows_config_provider)
 
 #
 # create the FastAPI app instance
@@ -134,7 +140,7 @@ async def on_message_created(
         metadata: dict[str, Any] = {"debug": {"content_safety": event.data.get(content_safety.metadata_key, {})}}
 
         # Prospector assistant response
-        await respond_to_conversation(context, config, message, metadata)
+        await respond_to_conversation(context, config, metadata)
 
 
 @assistant.events.conversation.on_created
@@ -172,7 +178,6 @@ async def on_conversation_created(context: ConversationContext) -> None:
 async def respond_to_conversation(
     context: ConversationContext,
     config: AssistantConfigModel,
-    message: ConversationMessage,
     metadata: dict[str, Any] = {},
 ) -> None:
     """
diff --git a/assistants/explorer-assistant/assistant/config.py b/assistants/explorer-assistant/assistant/config.py
index b1bb665e..92db67de 100644
--- a/assistants/explorer-assistant/assistant/config.py
+++ b/assistants/explorer-assistant/assistant/config.py
@@ -3,6 +3,7 @@
 import openai_client
 from assistant_extensions.artifacts import ArtifactsConfigModel
 from assistant_extensions.attachments import AttachmentsConfigModel
+from assistant_extensions.workflows import WorkflowsConfigModel
 from content_safety.evaluators import CombinedContentSafetyEvaluatorConfig
 from pydantic import BaseModel, ConfigDict, Field
 from semantic_workbench_assistant.config import UISchema
@@ -25,6 +26,14 @@
 
 
 class ExtensionsConfigModel(BaseModel):
+    workflows: Annotated[
+        WorkflowsConfigModel,
+        Field(
+            title="Workflows Extension Configuration",
+            description="Configuration for the workflows extension.",
+        ),
+    ] = WorkflowsConfigModel()
+
     attachments: Annotated[
         AttachmentsConfigModel,
         Field(
diff --git a/assistants/explorer-assistant/uv.lock b/assistants/explorer-assistant/uv.lock
index f301090d..ed538b6e 100644
--- a/assistants/explorer-assistant/uv.lock
+++ b/assistants/explorer-assistant/uv.lock
@@ -17,7 +17,7 @@ wheels = [
 
 [[package]]
 name = "aiohttp"
-version = "3.10.10"
+version = "3.11.6"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
@@ -25,55 +25,56 @@ dependencies = [
     { name = "attrs" },
     { name = "frozenlist" },
     { name = "multidict" },
+    { name = "propcache" },
     { name = "yarl" },
 ]
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 [[package]]
@@ -154,6 +155,7 @@ version = "0.1.0"
 source = { editable = "../../libraries/python/assistant-extensions" }
 dependencies = [
     { name = "openai" },
+    { name = "requests-sse" },
     { name = "semantic-workbench-assistant" },
 ]
 
@@ -170,6 +172,7 @@ requires-dist = [
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     { name = "openai", specifier = ">=1.51.2" },
     { name = "pdfplumber", marker = "extra == 'attachments'", specifier = ">=0.11.2" },
+    { name = "requests-sse", specifier = ">=0.3.2" },
     { name = "semantic-workbench-assistant", editable = "../../libraries/python/semantic-workbench-assistant" },
 ]
 
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+[[package]]
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diff --git a/assistants/prospector-assistant/assistant/chat.py b/assistants/prospector-assistant/assistant/chat.py
index c0226407..001f1522 100644
--- a/assistants/prospector-assistant/assistant/chat.py
+++ b/assistants/prospector-assistant/assistant/chat.py
@@ -213,7 +213,7 @@ async def send_error_message_on_exception(context: ConversationContext):
 # endregion
 
 #
-# region Form fill extension helpers
+# region Form Fill Extension Helpers
 #
 
 
@@ -262,7 +262,7 @@ async def get(filename: str) -> str:
 
 
 #
-# region document agent extension helpers
+# region Document Extension Helpers
 #
 
 
diff --git a/assistants/prospector-assistant/uv.lock b/assistants/prospector-assistant/uv.lock
index 03f50c61..d98079f4 100644
--- a/assistants/prospector-assistant/uv.lock
+++ b/assistants/prospector-assistant/uv.lock
@@ -17,7 +17,7 @@ wheels = [
 
 [[package]]
 name = "aiohttp"
-version = "3.10.8"
+version = "3.11.6"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
@@ -25,55 +25,56 @@ dependencies = [
     { name = "attrs" },
     { name = "frozenlist" },
     { name = "multidict" },
+    { name = "propcache" },
     { name = "yarl" },
 ]
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 [[package]]
@@ -188,6 +189,7 @@ version = "0.1.0"
 source = { editable = "../../libraries/python/assistant-extensions" }
 dependencies = [
     { name = "openai" },
+    { name = "requests-sse" },
     { name = "semantic-workbench-assistant" },
 ]
 
@@ -204,6 +206,7 @@ requires-dist = [
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     { name = "openai", specifier = ">=1.51.2" },
     { name = "pdfplumber", marker = "extra == 'attachments'", specifier = ">=0.11.2" },
+    { name = "requests-sse", specifier = ">=0.3.2" },
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 ]
 
 [[package]]
diff --git a/libraries/python/assistant-extensions/.vscode/settings.json b/libraries/python/assistant-extensions/.vscode/settings.json
index f5622615..1eccec71 100644
--- a/libraries/python/assistant-extensions/.vscode/settings.json
+++ b/libraries/python/assistant-extensions/.vscode/settings.json
@@ -37,6 +37,8 @@
     "**/__pycache__": true
   },
   "cSpell.words": [
+    "deepmerge",
+    "DMAIC",
     "endregion",
     "Excalidraw",
     "openai",
diff --git a/libraries/python/assistant-extensions/assistant_extensions/attachments/_attachments.py b/libraries/python/assistant-extensions/assistant_extensions/attachments/_attachments.py
index fd1f5bc0..1267a78e 100644
--- a/libraries/python/assistant-extensions/assistant_extensions/attachments/_attachments.py
+++ b/libraries/python/assistant-extensions/assistant_extensions/attachments/_attachments.py
@@ -330,7 +330,7 @@ async def _get_attachment_for_file(
         content = ""
         error = ""
         # process the file to create an attachment
-        async with context.set_status(f"updating attachment {file.filename} ..."):
+        async with context.set_status(f"updating attachment {file.filename}..."):
             try:
                 # read the content of the file
                 file_bytes = await _read_conversation_file(context, file)
diff --git a/libraries/python/assistant-extensions/assistant_extensions/workflows/__init__.py b/libraries/python/assistant-extensions/assistant_extensions/workflows/__init__.py
new file mode 100644
index 00000000..f772468a
--- /dev/null
+++ b/libraries/python/assistant-extensions/assistant_extensions/workflows/__init__.py
@@ -0,0 +1,4 @@
+from ._model import WorkflowsConfigModel
+from ._workflows import WorkflowsExtension, WorkflowsProcessingErrorHandler
+
+__all__ = ["WorkflowsExtension", "WorkflowsConfigModel", "WorkflowsProcessingErrorHandler"]
diff --git a/libraries/python/assistant-extensions/assistant_extensions/workflows/_model.py b/libraries/python/assistant-extensions/assistant_extensions/workflows/_model.py
new file mode 100644
index 00000000..a5c33a9a
--- /dev/null
+++ b/libraries/python/assistant-extensions/assistant_extensions/workflows/_model.py
@@ -0,0 +1,64 @@
+from typing import Annotated, Literal, Union
+
+from pydantic import BaseModel, Field
+from semantic_workbench_assistant.config import UISchema
+
+
+class UserProxyWorkflowDefinition(BaseModel):
+    class Config:
+        json_schema_extra = {
+            "required": ["command", "name", "description", "user_messages"],
+        }
+
+    workflow_type: Annotated[
+        Literal["user_proxy"],
+        Field(
+            description="The type of workflow.",
+        ),
+        UISchema(widget="hidden"),
+    ] = "user_proxy"
+    command: Annotated[
+        str,
+        Field(
+            description="The command that will trigger the workflow. The command should be unique and not conflict with other commands and should only include alphanumeric characters and underscores.",
+        ),
+    ] = ""
+    name: Annotated[
+        str,
+        Field(
+            description="The name of the workflow, to be displayed in the help, logs, and status messages.",
+        ),
+    ] = ""
+    description: Annotated[
+        str,
+        Field(
+            description="A description of the workflow that will be displayed in the help.",
+        ),
+        UISchema(widget="textarea"),
+    ] = ""
+    user_messages: Annotated[
+        list[str],
+        Field(
+            description="A list of user messages that will be sequentially sent to the assistant during the workflow.",
+        ),
+        UISchema(schema={"items": {"widget": "textarea"}}),
+    ] = []
+
+
+WorkflowDefinition = Union[UserProxyWorkflowDefinition]
+
+
+class WorkflowsConfigModel(BaseModel):
+    enabled: Annotated[
+        bool,
+        Field(
+            description="Enable the workflows feature.",
+        ),
+    ] = False
+
+    workflow_definitions: Annotated[
+        list[WorkflowDefinition],
+        Field(
+            description="A list of workflow definitions.",
+        ),
+    ] = []
diff --git a/libraries/python/assistant-extensions/assistant_extensions/workflows/_workflows.py b/libraries/python/assistant-extensions/assistant_extensions/workflows/_workflows.py
new file mode 100644
index 00000000..d164883f
--- /dev/null
+++ b/libraries/python/assistant-extensions/assistant_extensions/workflows/_workflows.py
@@ -0,0 +1,129 @@
+import asyncio
+import logging
+from typing import Any, Awaitable, Callable
+
+import deepmerge
+from semantic_workbench_api_model.workbench_model import (
+    ConversationEvent,
+    ConversationMessage,
+    MessageSender,
+    MessageType,
+    NewConversationMessage,
+)
+from semantic_workbench_assistant.assistant_app import AssistantAppProtocol, AssistantContext, ConversationContext
+
+from assistant_extensions.workflows.runners._user_proxy import UserProxyRunner
+
+from ._model import WorkflowsConfigModel
+
+logger = logging.getLogger(__name__)
+
+WorkflowsProcessingErrorHandler = Callable[[ConversationContext, str, Exception], Awaitable]
+
+
+trigger_command = "workflow"
+
+
+async def log_and_send_message_on_error(context: ConversationContext, filename: str, e: Exception) -> None:
+    """
+    Default error handler for attachment processing, which logs the exception and sends
+    a message to the conversation.
+    """
+
+    logger.exception("exception occurred processing attachment", exc_info=e)
+    await context.send_messages(
+        NewConversationMessage(
+            content=f"There was an error processing the attachment ({filename}): {e}",
+            message_type=MessageType.notice,
+            metadata={"attribution": "workflows"},
+        )
+    )
+
+
+class WorkflowsExtension:
+    def __init__(
+        self,
+        assistant: AssistantAppProtocol,
+        content_safety_metadata_key: str,
+        config_provider: Callable[[AssistantContext], Awaitable[WorkflowsConfigModel]],
+        error_handler: WorkflowsProcessingErrorHandler = log_and_send_message_on_error,
+    ) -> None:
+        """
+        WorkflowsExtension enables the assistant to execute pre-configured workflows. Current workflows act
+        as an auto-proxy for a series of user messages. Future workflows may include more complex interactions.
+        """
+
+        self._error_handler = error_handler
+        self._user_proxy_runner = UserProxyRunner(config_provider, error_handler)
+
+        @assistant.events.conversation.message.command.on_created
+        async def on_command_message_created(
+            context: ConversationContext, event: ConversationEvent, message: ConversationMessage
+        ) -> None:
+            config = await config_provider(context.assistant)
+            metadata: dict[str, Any] = {"debug": {"content_safety": event.data.get(content_safety_metadata_key, {})}}
+
+            if not config.enabled or message.command_name != f"/{trigger_command}":
+                return
+
+            if len(message.command_args) > 0:
+                await self.on_command(config, context, message, metadata)
+            else:
+                await self.on_help(config, context, metadata)
+
+    async def on_help(
+        self,
+        config: WorkflowsConfigModel,
+        context: ConversationContext,
+        metadata: dict[str, Any] = {},
+    ) -> None:
+        # Iterate over the workflow definitions and create a list of commands in markdown format
+        content = "Available workflows:\n"
+        for workflow in config.workflow_definitions:
+            content += f"- `{workflow.command}`: {workflow.description}\n"
+
+        # send the message
+        await context.send_messages(
+            NewConversationMessage(
+                content=content,
+                message_type=MessageType.command_response,
+                metadata=deepmerge.always_merger.merge(
+                    metadata,
+                    {"attribution": "workflows"},
+                ),
+            )
+        )
+
+    async def on_command(
+        self,
+        config: WorkflowsConfigModel,
+        context: ConversationContext,
+        message: ConversationMessage,
+        metadata: dict[str, Any] = {},
+    ) -> None:
+        # find the workflow definition
+        workflow_command = message.command_args.split(" ")[0]
+        workflow_definition = None
+        for workflow in config.workflow_definitions:
+            if workflow.command == workflow_command:
+                workflow_definition = workflow
+                break
+
+        if workflow_definition is None:
+            await self.on_help(config, context, metadata)
+            return
+
+        # run the workflow in the background
+        asyncio.create_task(self.run_workflow(context, workflow_definition, message.sender, metadata))
+
+    async def run_workflow(
+        self,
+        context: ConversationContext,
+        workflow_definition: Any,
+        send_as: MessageSender,
+        metadata: dict[str, Any] = {},
+    ) -> None:
+        try:
+            await self._user_proxy_runner.run(context, workflow_definition, send_as, metadata)
+        except Exception as e:
+            await self._error_handler(context, workflow_definition.command, e)
diff --git a/libraries/python/assistant-extensions/assistant_extensions/workflows/runners/_user_proxy.py b/libraries/python/assistant-extensions/assistant_extensions/workflows/runners/_user_proxy.py
new file mode 100644
index 00000000..fc92d29c
--- /dev/null
+++ b/libraries/python/assistant-extensions/assistant_extensions/workflows/runners/_user_proxy.py
@@ -0,0 +1,275 @@
+import asyncio
+import traceback
+from contextlib import asynccontextmanager, suppress
+from dataclasses import dataclass
+from typing import TYPE_CHECKING, Any, AsyncGenerator, Awaitable, Callable
+
+from semantic_workbench_api_model.workbench_model import (
+    ConversationMessage,
+    MessageSender,
+    MessageType,
+    NewConversationMessage,
+    UpdateParticipant,
+)
+from semantic_workbench_assistant.assistant_app import AssistantContext, ConversationContext
+
+from .._model import UserProxyWorkflowDefinition, WorkflowsConfigModel
+
+if TYPE_CHECKING:
+    from .._workflows import WorkflowsProcessingErrorHandler
+
+
+@dataclass
+class WorkflowState:
+    id: str
+    context: ConversationContext
+    definition: UserProxyWorkflowDefinition
+    send_as: MessageSender
+    current_step: int
+    metadata: dict[str, Any]
+
+
+@asynccontextmanager
+async def send_error_message_on_exception(context: ConversationContext) -> AsyncGenerator[None, None]:
+    try:
+        yield
+    except Exception as e:
+        await context.send_messages(
+            NewConversationMessage(
+                content=f"An error occurred: {e}",
+                message_type=MessageType.notice,
+                metadata={
+                    "debug": {"stack_trace": traceback.format_exc()},
+                    "attribution": "workflows",
+                },
+            )
+        )
+
+
+class UserProxyRunner:
+    def __init__(
+        self,
+        config_provider: Callable[[AssistantContext], Awaitable[WorkflowsConfigModel]],
+        error_handler: "WorkflowsProcessingErrorHandler",
+    ) -> None:
+        """
+        User Proxy General flow:
+        - User builds context within the conversation until ready to execute a workflow.
+        - User triggers the workflow by sending a command.
+        - The extension receives the command and starts the workflow process.
+            - Inform the user that the workflow has started.
+            - Duplicate the conversation (with files and assistants) for the workflow.
+            - Update status to indicate the workflow is on step #1.
+            - Create a new message on the new conversation, taken from step #1 of the workflow definition.
+            - Wait for assistant to respond.
+            - Repeat until workflow is complete, updating status on each step.
+            - Create a new message on the original conversation using the final assistant response as content.
+            - Disconnect the workflow conversation.
+
+        Example workflow definition:
+        - Workflow name: "Ensure document is rooted in ground truth"
+        - Assumes: "User has created enough context in the conversation to determine if a document is rooted in
+            ground truth. This may be because they co-created a document with an assistant from other artifacts
+            such as meeting transcripts and technical notes, or similar."
+        - Steps: (overly simplified for example, much higher quality prompts will likely get much better results)
+          1. "Evaluate the document to determine if it is rooted in ground truth using DMAIC (Define, Measure,
+            Analyze, Improve, Control). Please ...more instruction here..."
+          2. "Considering these results, what are the specific edits needed to ensure the document is rooted in
+            ground truth? Make discreet lists of additions, edits, and removals and include locations ... more"
+          3. "Provide the detailed list and a very user-friendly explanation of the rationale for a non-technical
+            audience."
+        """
+        self.config_provider = config_provider
+        self.error_handler = error_handler
+        self._workflow_complete_event = asyncio.Event()
+
+    async def run(
+        self,
+        context: ConversationContext,
+        workflow_definition: UserProxyWorkflowDefinition,
+        send_as: MessageSender,
+        metadata: dict[str, Any] = {},
+    ) -> None:
+        """
+        Run the user proxy runner.
+        """
+        # inform the user that the workflow has started and get going!
+        async with send_error_message_on_exception(context):
+            # context.set_status(f"Starting workflow: {workflow_definition.name}")
+            await context.update_participant_me(
+                UpdateParticipant(status=f"Starting workflow: {workflow_definition.name}")
+            )
+
+            # duplicate the current conversation and get the context
+            workflow_context = await self.duplicate_conversation(context)
+
+            # set the current workflow id
+            workflow_state = WorkflowState(
+                id=workflow_context.id,
+                context=workflow_context,
+                definition=workflow_definition,
+                send_as=send_as,
+                current_step=1,
+                metadata=metadata,
+            )
+            self.current_workflow_state = workflow_state
+
+            event_listener_task = asyncio.create_task(
+                self._listen_for_events(context, workflow_state, workflow_context.id)
+            )
+
+            try:
+                # start the workflow
+                await self._start_step(context, workflow_state)
+
+                # wait for the workflow to complete
+                await self._workflow_complete_event.wait()
+            except Exception as e:
+                await self.error_handler(context, workflow_state.definition.command, e)
+            finally:
+                event_listener_task.cancel()
+                with suppress(asyncio.CancelledError):
+                    await event_listener_task
+
+    async def _listen_for_events(
+        self, context: ConversationContext, workflow_state: WorkflowState, event_source_url: str
+    ) -> None:
+        """
+        Listen for events.
+        """
+
+        # set up the event source for the workflow
+        events_base_url = context._workbench_client._client._base_url
+        events_path = f"conversations/{workflow_state.context.id}/events"
+        event_source_url = f"{events_base_url}{events_path}"
+
+        async for sse_event in context._workbench_client.get_sse_session(event_source_url):
+            if (
+                sse_event["event"] == "message.created"
+                and sse_event["data"] is not None
+                and sse_event["data"]["data"] is not None
+                and sse_event["data"]["data"]["message"] is not None
+            ):
+                message_data = sse_event["data"]["data"]["message"]
+                message = ConversationMessage.model_validate(message_data)
+                if message.sender and message.sender.participant_role != "assistant":
+                    continue
+                await self._on_assistant_message(context, workflow_state, message)
+
+    async def duplicate_conversation(self, context: ConversationContext) -> ConversationContext:
+        """
+        Duplicate the current conversation
+        """
+
+        # duplicate the current conversation
+        response = await context._workbench_client.duplicate_conversation()
+
+        # create a new conversation context
+        workflow_context = ConversationContext(
+            id=str(response.conversation_ids[0]),
+            title="Workflow",
+            assistant=context.assistant,
+        )
+
+        # return the new conversation context
+        return workflow_context
+
+    async def _start_step(self, context: ConversationContext, workflow_state: WorkflowState) -> None:
+        """
+        Start a step in the workflow.
+        """
+
+        # update status to indicate the workflow is on step #<current step>
+        # context.set_status(f"Workflow {workflow_state.definition.name}: Step {workflow_state.current_step}")
+
+        # create a new message on the new conversation, taken from the current step of the workflow definition
+        user_message = workflow_state.definition.user_messages[workflow_state.current_step - 1]
+        await workflow_state.context.send_messages(
+            NewConversationMessage(
+                sender=workflow_state.send_as,
+                content=user_message,
+                message_type=MessageType.chat,
+                metadata={"attribution": "user"},
+            )
+        )
+
+        # update status to indicate the workflow is awaiting the assistant response
+        # context.set_status(
+        #     f"Workflow {workflow_state.definition.name}: Step {workflow_state.current_step}, awaiting assistant response..."
+        # )
+        await context.update_participant_me(
+            UpdateParticipant(
+                status=f"Workflow {workflow_state.definition.name}: Step {workflow_state.current_step}, awaiting assistant response..."
+            )
+        )
+
+    async def _on_assistant_message(
+        self,
+        context: ConversationContext,
+        workflow_state: WorkflowState,
+        assistant_response: ConversationMessage,
+    ) -> None:
+        """
+        Handle the assistant response.
+        """
+
+        if self.current_workflow_state is None:
+            # not sure how we got here, but let's just ignore it
+            return
+
+        # verify we're still in the same run
+        if self.current_workflow_state.context.id != workflow_state.context.id:
+            # abort and cleanup
+            await self._cleanup(context, workflow_state)
+            return
+
+        # determine if there are more steps
+        if workflow_state.current_step < len(workflow_state.definition.user_messages):
+            # increment the current step
+            workflow_state.current_step += 1
+
+            # start the next step
+            await self._start_step(context, workflow_state)
+        else:
+            # send the final response
+            await self._send_final_response(context, workflow_state, assistant_response)
+
+            # cleanup
+            await self._cleanup(context, workflow_state)
+
+            # Signal workflow completion
+            self._workflow_complete_event.set()
+
+    async def _send_final_response(
+        self, context: ConversationContext, workflow_state: WorkflowState, assistant_response: ConversationMessage
+    ) -> None:
+        """
+        Send the final response to the user.
+        """
+
+        # update status to indicate the workflow is complete
+        # context.set_status(f"Workflow {workflow_state.definition.name}: retrieving final response...")
+        # await context.update_participant_me(
+        #     UpdateParticipant(status=f"Workflow {workflow_state.definition.name}: retrieving final response...")
+        # )
+
+        # create a new message on the original conversation using the final assistant response as content
+        await context.send_messages(
+            NewConversationMessage(
+                content=assistant_response.content,
+                message_type=MessageType.chat,
+                metadata={"attribution": "system"},
+            )
+        )
+
+    async def _cleanup(self, context: ConversationContext, workflow_state: WorkflowState) -> None:
+        """
+        Disconnect the workflow conversation.
+        """
+
+        # clear the status
+        await context.update_participant_me(UpdateParticipant(status=None))
+
+        # disconnect the workflow conversation
+        await context._workbench_client.delete_conversation()
+        self.current_workflow_state = None
diff --git a/libraries/python/assistant-extensions/pyproject.toml b/libraries/python/assistant-extensions/pyproject.toml
index 0d8c7f8a..f7ee659d 100644
--- a/libraries/python/assistant-extensions/pyproject.toml
+++ b/libraries/python/assistant-extensions/pyproject.toml
@@ -9,7 +9,11 @@ description = "Add your description here"
 authors = [{ name = "Semantic Workbench Team" }]
 readme = "README.md"
 requires-python = ">=3.11"
-dependencies = ["openai>=1.51.2", "semantic-workbench-assistant>=0.1.0"]
+dependencies = [
+    "openai>=1.51.2",
+    "requests-sse>=0.3.2",
+    "semantic-workbench-assistant>=0.1.0",
+]
 
 [project.optional-dependencies]
 attachments = ["docx2txt>=0.8", "pdfplumber>=0.11.2", "assistant-drive>=0.1.0"]
diff --git a/libraries/python/assistant-extensions/uv.lock b/libraries/python/assistant-extensions/uv.lock
index d15cbbbe..d808a87e 100644
--- a/libraries/python/assistant-extensions/uv.lock
+++ b/libraries/python/assistant-extensions/uv.lock
@@ -70,6 +70,7 @@ version = "0.1.0"
 source = { editable = "." }
 dependencies = [
     { name = "openai" },
+    { name = "requests-sse" },
     { name = "semantic-workbench-assistant" },
 ]
 
@@ -92,6 +93,7 @@ requires-dist = [
     { name = "docx2txt", marker = "extra == 'attachments'", specifier = ">=0.8" },
     { name = "openai", specifier = ">=1.51.2" },
     { name = "pdfplumber", marker = "extra == 'attachments'", specifier = ">=0.11.2" },
+    { name = "requests-sse", specifier = ">=0.3.2" },
     { name = "semantic-workbench-assistant", editable = "../semantic-workbench-assistant" },
 ]
 
@@ -902,6 +904,33 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/fa/de/02b54f42487e3d3c6efb3f89428677074ca7bf43aae402517bc7cca949f3/PyYAML-6.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:8388ee1976c416731879ac16da0aff3f63b286ffdd57cdeb95f3f2e085687563", size = 156446 },
 ]
 
+[[package]]
+name = "requests"
+version = "2.32.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "certifi" },
+    { name = "charset-normalizer" },
+    { name = "idna" },
+    { name = "urllib3" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/63/70/2bf7780ad2d390a8d301ad0b550f1581eadbd9a20f896afe06353c2a2913/requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760", size = 131218 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f9/9b/335f9764261e915ed497fcdeb11df5dfd6f7bf257d4a6a2a686d80da4d54/requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6", size = 64928 },
+]
+
+[[package]]
+name = "requests-sse"
+version = "0.3.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "requests" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/2f/38/17d72af6819a3443c1d42a7d02adce430b11e39b03f8273d684385eaa53d/requests_sse-0.3.2.tar.gz", hash = "sha256:3e17bd324e500c9b11c7c23dd00af3f0222070328134bda67a8917985cfc4127", size = 8986 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1e/ba/02926da93761774b633f9b39363782712fe33d6db37e7dda7f63698be70b/requests_sse-0.3.2-py3-none-any.whl", hash = "sha256:c3399b689f6e7bf0eac7c2031211d66ffbb3ab77afc6c9226a71c73c06609f61", size = 9718 },
+]
+
 [[package]]
 name = "rich"
 version = "13.9.2"
@@ -1031,6 +1060,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/26/9f/ad63fc0248c5379346306f8668cda6e2e2e9c95e01216d2b8ffd9ff037d0/typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d", size = 37438 },
 ]
 
+[[package]]
+name = "urllib3"
+version = "2.2.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ed/63/22ba4ebfe7430b76388e7cd448d5478814d3032121827c12a2cc287e2260/urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9", size = 300677 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ce/d9/5f4c13cecde62396b0d3fe530a50ccea91e7dfc1ccf0e09c228841bb5ba8/urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac", size = 126338 },
+]
+
 [[package]]
 name = "uvicorn"
 version = "0.31.1"
diff --git a/libraries/python/semantic-workbench-api-model/semantic_workbench_api_model/workbench_model.py b/libraries/python/semantic-workbench-api-model/semantic_workbench_api_model/workbench_model.py
index ae735081..3643d440 100644
--- a/libraries/python/semantic-workbench-api-model/semantic_workbench_api_model/workbench_model.py
+++ b/libraries/python/semantic-workbench-api-model/semantic_workbench_api_model/workbench_model.py
@@ -436,6 +436,7 @@ class UpdateConversation(BaseModel):
 
 class NewConversationMessage(BaseModel):
     id: uuid.UUID | None = None
+    sender: MessageSender | None = None
     content: str
     message_type: MessageType = MessageType.chat
     content_type: str = "text/plain"
diff --git a/libraries/python/semantic-workbench-api-model/semantic_workbench_api_model/workbench_service_client.py b/libraries/python/semantic-workbench-api-model/semantic_workbench_api_model/workbench_service_client.py
index 9d371f2e..ca7491f1 100644
--- a/libraries/python/semantic-workbench-api-model/semantic_workbench_api_model/workbench_service_client.py
+++ b/libraries/python/semantic-workbench-api-model/semantic_workbench_api_model/workbench_service_client.py
@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import io
+import json
 import types
 import uuid
 from contextlib import asynccontextmanager, suppress
@@ -76,6 +77,39 @@ def __init__(
     def _client(self) -> httpx.AsyncClient:
         return self._httpx_client_factory()
 
+    async def get_sse_session(self, event_source_url: str) -> AsyncIterator[dict]:
+        async with self._client as client:
+            async with client.stream("GET", event_source_url) as response:
+                event = {}
+                async for line in response.aiter_lines():
+                    if line == "":
+                        # End of the event; process and yield it
+                        if "data" in event:
+                            # Concatenate multiline data
+                            data = event["data"]
+                            event["data"] = json.loads(data)
+                        yield event
+                        event = {}
+                    elif line.startswith(":"):
+                        # Comment line; ignore
+                        continue
+                    else:
+                        # Parse the field
+                        field, value = line.split(":", 1)
+                        value = value.lstrip()  # Remove leading whitespace
+                        if field == "data":
+                            # Handle multiline data
+                            event.setdefault("data", "")
+                            event["data"] += value + "\n"
+                        else:
+                            event[field] = value
+                # Handle the last event if the stream ends without a blank line
+                if event:
+                    if "data" in event:
+                        data = event["data"]
+                        event["data"] = json.loads(data)
+                    yield event
+
     async def delete_conversation(self) -> None:
         async with self._client as client:
             http_response = await client.delete(f"/conversations/{self._conversation_id}")
@@ -83,6 +117,12 @@ async def delete_conversation(self) -> None:
                 return
             http_response.raise_for_status()
 
+    async def duplicate_conversation(self) -> workbench_model.ConversationImportResult:
+        async with self._client as client:
+            http_response = await client.post(f"/conversations/duplicate?id={self._conversation_id}")
+            http_response.raise_for_status()
+            return workbench_model.ConversationImportResult.model_validate(http_response.json())
+
     async def get_conversation(self) -> workbench_model.Conversation:
         async with self._client as client:
             http_response = await client.get(f"/conversations/{self._conversation_id}")
diff --git a/libraries/python/semantic-workbench-assistant/semantic_workbench_assistant/assistant_app/context.py b/libraries/python/semantic-workbench-assistant/semantic_workbench_assistant/assistant_app/context.py
index e7ff43c9..2247288a 100644
--- a/libraries/python/semantic-workbench-assistant/semantic_workbench_assistant/assistant_app/context.py
+++ b/libraries/python/semantic-workbench-assistant/semantic_workbench_assistant/assistant_app/context.py
@@ -55,7 +55,7 @@ async def update_participant_me(
         return await self._workbench_client.update_participant_me(participant)
 
     @asynccontextmanager
-    async def set_status(self, status: str) -> AsyncGenerator[None, None]:
+    async def set_status(self, status: str | None) -> AsyncGenerator[None, None]:
         """
         Context manager to update the participant status and reset it when done.
 
diff --git a/workbench-app/src/libs/useConversationEvents.ts b/workbench-app/src/libs/useConversationEvents.ts
index b8d2f558..9be7d46f 100644
--- a/workbench-app/src/libs/useConversationEvents.ts
+++ b/workbench-app/src/libs/useConversationEvents.ts
@@ -1,8 +1,5 @@
 // Copyright (c) Microsoft. All rights reserved.
 import { EventSourceMessage } from '@microsoft/fetch-event-source';
-import dayjs from 'dayjs';
-import timezone from 'dayjs/plugin/timezone';
-import utc from 'dayjs/plugin/utc';
 import React from 'react';
 import { conversationMessageFromJSON } from '../models/ConversationMessage';
 import { ConversationParticipant } from '../models/ConversationParticipant';
@@ -10,10 +7,6 @@ import { useAppDispatch } from '../redux/app/hooks';
 import { useEnvironment } from './useEnvironment';
 import { WorkbenchEventSource, WorkbenchEventSourceType } from './WorkbenchEventSource';
 
-dayjs.extend(utc);
-dayjs.extend(timezone);
-dayjs.tz.guess();
-
 export const useConversationEvents = (
     conversationId: string,
     handlers: {
diff --git a/workbench-service/semantic_workbench_service/controller/assistant.py b/workbench-service/semantic_workbench_service/controller/assistant.py
index 42e37d5d..8b1dacc9 100644
--- a/workbench-service/semantic_workbench_service/controller/assistant.py
+++ b/workbench-service/semantic_workbench_service/controller/assistant.py
@@ -1,5 +1,6 @@
 import asyncio
 import datetime
+import io
 import logging
 import pathlib
 import re
@@ -829,3 +830,197 @@ async def import_conversations(
             assistant_ids=list(import_result.assistant_id_old_to_new.values()),
             conversation_ids=list(import_result.conversation_id_old_to_new.values()),
         )
+
+    # async def duplicate_conversation(
+    #     self,
+    #     user_principal: auth.UserPrincipal,
+    #     conversation_id: uuid.UUID,
+    # ) -> ConversationImportResult:
+    #     # export the conversation
+    #     export_result = await self.export_conversations(
+    #         user_principal=user_principal, conversation_ids={conversation_id}
+    #     )
+
+    #     # import the conversation
+    #     with open(export_result.file_path, "rb") as import_file:
+    #         import_result = await self.import_conversations(from_export=import_file, user_principal=user_principal)
+
+    #     # cleanup
+    #     export_result.cleanup()
+
+    #     return import_result
+
+    async def duplicate_conversation(
+        self,
+        principal: auth.ActorPrincipal,
+        conversation_id: uuid.UUID,
+    ) -> ConversationImportResult:
+        async with self._get_session() as session:
+            # Ensure the user has access to the conversation
+            # Ensure the actor has access to the conversation
+            original_conversation = await self._ensure_conversation_access(
+                session=session,
+                principal=principal,
+                conversation_id=conversation_id,
+            )
+            if original_conversation is None:
+                raise exceptions.NotFoundError()
+
+            # Create a new conversation with the same properties
+            new_conversation = db.Conversation(
+                owner_id=original_conversation.owner_id,
+                title=f"{original_conversation.title} (Copy)",
+                meta_data=original_conversation.meta_data.copy(),
+                imported_from_conversation_id=original_conversation.conversation_id,
+                # Use the current datetime for the new conversation
+                created_datetime=datetime.datetime.now(datetime.UTC),
+            )
+            session.add(new_conversation)
+            await session.flush()  # To generate new_conversation.conversation_id
+
+            # Copy messages from the original conversation
+            messages = await session.exec(
+                select(db.ConversationMessage)
+                .where(db.ConversationMessage.conversation_id == conversation_id)
+                .order_by(col(db.ConversationMessage.sequence))
+            )
+            for message in messages:
+                new_message = db.ConversationMessage(
+                    # Do not set 'sequence'; let the database assign it
+                    message_id=uuid.uuid4(),  # Generate a new unique message ID
+                    conversation_id=new_conversation.conversation_id,
+                    created_datetime=message.created_datetime,
+                    sender_participant_id=message.sender_participant_id,
+                    sender_participant_role=message.sender_participant_role,
+                    message_type=message.message_type,
+                    content=message.content,
+                    content_type=message.content_type,
+                    meta_data=message.meta_data.copy(),
+                    filenames=message.filenames.copy(),
+                )
+                session.add(new_message)
+
+            # Copy files associated with the conversation
+            original_files_path = self._file_storage.path_for(
+                namespace=str(original_conversation.conversation_id), filename=""
+            )
+            new_files_path = self._file_storage.path_for(namespace=str(new_conversation.conversation_id), filename="")
+            if original_files_path.exists():
+                await asyncio.to_thread(shutil.copytree, original_files_path, new_files_path)
+
+            # Associate existing assistant participants
+            # Fetch assistant participants and collect into a list
+            assistant_participants = (
+                await session.exec(
+                    select(db.AssistantParticipant).where(
+                        db.AssistantParticipant.conversation_id == conversation_id,
+                        db.AssistantParticipant.active_participant,
+                    )
+                )
+            ).all()
+            for participant in assistant_participants:
+                new_participant = db.AssistantParticipant(
+                    conversation_id=new_conversation.conversation_id,
+                    assistant_id=participant.assistant_id,
+                    name=participant.name,
+                    image=participant.image,
+                    joined_datetime=participant.joined_datetime,
+                    status=participant.status,
+                    status_updated_datetime=participant.status_updated_datetime,
+                    active_participant=participant.active_participant,
+                )
+                session.add(new_participant)
+
+            # Associate existing user participants
+            user_participants = await session.exec(
+                select(db.UserParticipant).where(
+                    db.UserParticipant.conversation_id == conversation_id,
+                    db.UserParticipant.active_participant,
+                )
+            )
+            for participant in user_participants:
+                new_user_participant = db.UserParticipant(
+                    conversation_id=new_conversation.conversation_id,
+                    user_id=participant.user_id,
+                    name=participant.name,
+                    image=participant.image,
+                    service_user=participant.service_user,
+                    joined_datetime=participant.joined_datetime,
+                    status=participant.status,
+                    status_updated_datetime=participant.status_updated_datetime,
+                    active_participant=participant.active_participant,
+                    conversation_permission=participant.conversation_permission,
+                )
+                session.add(new_user_participant)
+
+            await session.commit()
+
+            # Initialize assistant state for the new conversation
+            assistant_ids = {participant.assistant_id for participant in assistant_participants}
+            for assistant_id in assistant_ids:
+                assistant = await session.get(db.Assistant, assistant_id)
+                if not assistant:
+                    continue  # Assistant not found, skip
+
+                try:
+                    # **Export the assistant's conversation data from the original conversation**
+                    assistant_client = await self._client_pool.assistant_instance_client(assistant)
+                    async with assistant_client.get_exported_conversation_data(
+                        conversation_id=conversation_id
+                    ) as export_response:
+                        # Read the exported data into a BytesIO buffer
+                        from_export = io.BytesIO()
+                        async for chunk in export_response:
+                            from_export.write(chunk)
+                        from_export.seek(0)  # Reset buffer position to the beginning
+
+                    # **Connect the assistant to the new conversation with the exported data**
+                    await self.connect_assistant_to_conversation(
+                        conversation=new_conversation,
+                        assistant=assistant,
+                        from_export=from_export,
+                    )
+                except AssistantError as e:
+                    logger.error(
+                        f"Error connecting assistant {assistant_id} to new conversation {new_conversation.conversation_id}: {e}",
+                        exc_info=True,
+                    )
+                    # Optionally handle the error (e.g., remove assistant from the conversation)
+
+            return ConversationImportResult(
+                assistant_ids=list(assistant_ids),
+                conversation_ids=[new_conversation.conversation_id],
+            )
+
+    async def _ensure_conversation_access(
+        self,
+        session: AsyncSession,
+        principal: auth.ActorPrincipal,
+        conversation_id: uuid.UUID,
+    ) -> db.Conversation:
+        match principal:
+            case auth.UserPrincipal():
+                conversation = (
+                    await session.exec(
+                        query.select_conversations_for(
+                            principal=principal,
+                        ).where(db.Conversation.conversation_id == conversation_id)
+                    )
+                ).one_or_none()
+            case auth.AssistantPrincipal():
+                conversation = (
+                    await session.exec(
+                        select(db.Conversation)
+                        .join(db.AssistantParticipant)
+                        .where(db.Conversation.conversation_id == conversation_id)
+                        .where(db.AssistantParticipant.assistant_id == principal.assistant_id)
+                        .where(db.AssistantParticipant.active_participant)
+                    )
+                ).one_or_none()
+            case _:
+                raise exceptions.UnauthorizedError("Principal type not supported.")
+
+        if conversation is None:
+            raise exceptions.NotFoundError()
+
+        return conversation
diff --git a/workbench-service/semantic_workbench_service/controller/conversation.py b/workbench-service/semantic_workbench_service/controller/conversation.py
index 01d0b968..a366e35b 100644
--- a/workbench-service/semantic_workbench_service/controller/conversation.py
+++ b/workbench-service/semantic_workbench_service/controller/conversation.py
@@ -667,8 +667,13 @@ async def create_conversation_message(
                     role = "user"
                     participant_id = principal.user_id
                 case auth.AssistantServicePrincipal():
-                    role = "assistant"
-                    participant_id = str(principal.assistant_id)
+                    # allow assistants to send messages as users, if provided
+                    if new_message.sender is not None and new_message.sender.participant_role == "user":
+                        role = "user"
+                        participant_id = new_message.sender.participant_id
+                    else:
+                        role = "assistant"
+                        participant_id = str(principal.assistant_id)
 
             # pop "debug" from metadata, if it exists, and merge with the debug field
             message_debug = (new_message.metadata or {}).pop("debug", None)
diff --git a/workbench-service/semantic_workbench_service/service.py b/workbench-service/semantic_workbench_service/service.py
index 34472fa4..c449b3e0 100644
--- a/workbench-service/semantic_workbench_service/service.py
+++ b/workbench-service/semantic_workbench_service/service.py
@@ -519,6 +519,13 @@ async def import_conversations(
             user_principal=user_principal, from_export=from_export.file
         )
 
+    @app.post("/conversations/duplicate")
+    async def duplicate_conversation(
+        principal: auth.DependsActorPrincipal,
+        conversation_id: uuid.UUID = Query(alias="id"),
+    ) -> ConversationImportResult:
+        return await assistant_controller.duplicate_conversation(principal=principal, conversation_id=conversation_id)
+
     @app.get("/assistants/{assistant_id}/config")
     async def get_assistant_config(
         user_principal: auth.DependsUserPrincipal,
@@ -621,15 +628,23 @@ async def get_assistant_conversations(
 
     @app.get("/conversations/{conversation_id}/events")
     async def conversation_server_sent_events(
-        conversation_id: uuid.UUID, request: Request, user_principal: auth.DependsUserPrincipal
+        conversation_id: uuid.UUID, request: Request, principal: auth.DependsActorPrincipal
     ) -> EventSourceResponse:
-        # ensure the conversation exists
+        # ensure the principal has access to the conversation
         await conversation_controller.get_conversation(
-            conversation_id=conversation_id, principal=user_principal, latest_message_types=set()
+            conversation_id=conversation_id,
+            principal=principal,
+            latest_message_types=set(),
         )
 
+        principal_id_type = "assistant_id" if isinstance(principal, auth.AssistantPrincipal) else "user_id"
+        principal_id = principal.assistant_id if isinstance(principal, auth.AssistantPrincipal) else principal.user_id
+
         logger.debug(
-            "client connected to sse; user_id: %s, conversation_id: %s", user_principal.user_id, conversation_id
+            "client connected to sse; %s: %s, conversation_id: %s",
+            principal_id_type,
+            principal_id,
+            conversation_id,
         )
         event_queue = asyncio.Queue[ConversationEvent]()
 
@@ -669,9 +684,10 @@ async def event_generator() -> AsyncIterator[ServerSentEvent]:
                         )
                         yield server_sent_event
                         logger.debug(
-                            "sent event to sse client; user_id: %s, conversation_id: %s, event: %s, id: %s, time since"
+                            "sent event to sse client; %s: %s, conversation_id: %s, event: %s, id: %s, time since"
                             " event: %s",
-                            user_principal.user_id,
+                            principal_id_type,
+                            principal_id,
                             conversation_id,
                             conversation_event.event,
                             conversation_event.id,