TeamOne handle multimodal console (#200)

* Added ability to print multimodal messages to console.

* Fixed hatch error

python/teams/team-one/src/team_one/agents/base_agent.py

@@ -1,6 +1,6 @@
-from typing import List, Tuple, Union
+from typing import List, Tuple
 
-from agnext.components import Image, TypeRoutedAgent, message_handler
+from agnext.components import TypeRoutedAgent, message_handler
 from agnext.components.models import (
     AssistantMessage,
     LLMMessage,
@@ -8,10 +8,8 @@ from agnext.components.models import (
 )
 from agnext.core import CancellationToken
 
-from team_one.messages import BroadcastMessage, RequestReplyMessage
-
-# Convenience type
-UserContent = Union[str, List[Union[str, Image]]]
+from team_one.messages import BroadcastMessage, RequestReplyMessage, UserContent
+from team_one.utils import message_content_to_str
 
 
 class BaseAgent(TypeRoutedAgent):
@@ -35,21 +33,7 @@ class BaseAgent(TypeRoutedAgent):
         """Respond to a reply request."""
         request_halt, response = await self._generate_reply(cancellation_token)
 
-        # Convert the response to an acceptable format for the assistant
-        if isinstance(response, str):
-            assistant_message = AssistantMessage(content=response, source=self.metadata["name"])
-        elif isinstance(response, List):
-            converted: List[str] = list()
-            for item in response:
-                if isinstance(item, str):
-                    converted.append(item.rstrip())
-                elif isinstance(item, Image):
-                    converted.append("<image>")
-                else:
-                    raise AssertionError("Unexpected response type.")
-            assistant_message = AssistantMessage(content="\n".join(converted), source=self.metadata["name"])
-        else:
-            raise AssertionError("Unexpected response type.")
+        assistant_message = AssistantMessage(content=message_content_to_str(response), source=self.metadata["name"])
         self._chat_history.append(assistant_message)
 
         user_message = UserMessage(content=response, source=self.metadata["name"])

python/teams/team-one/src/team_one/agents/coder.py

@@ -9,7 +9,8 @@ from agnext.components.models import (
 )
 from agnext.core import CancellationToken
 
-from .base_agent import BaseAgent, UserContent
+from ..messages import UserContent
+from .base_agent import BaseAgent
 
 
 class Coder(BaseAgent):

python/teams/team-one/src/team_one/agents/file_surfer.py

@@ -14,7 +14,8 @@ from agnext.components.tools import FunctionTool
 from agnext.core import CancellationToken
 from typing_extensions import Annotated
 
-from .base_agent import BaseAgent, UserContent
+from ..messages import UserContent
+from .base_agent import BaseAgent
 
 
 async def read_local_file(file_path: Annotated[str, "relative or absolute path of file to read"]) -> str:

python/teams/team-one/src/team_one/agents/orchestrator.py

@@ -7,6 +7,7 @@ from agnext.components.models import AssistantMessage, UserMessage
 from agnext.core import AgentProxy, CancellationToken
 
 from ..messages import BroadcastMessage, OrchestrationEvent, RequestReplyMessage
+from ..utils import message_content_to_str
 
 logger = logging.getLogger(EVENT_LOGGER_NAME + ".orchestrator")
 
@@ -30,7 +31,7 @@ class RoundRobinOrchestrator(TypeRoutedAgent):
         if isinstance(message.content, UserMessage) or isinstance(message.content, AssistantMessage):
             source = message.content.source
 
-        content = str(message.content.content)
+        content = message_content_to_str(message.content.content)
 
         logger.info(OrchestrationEvent(source, content))
 

python/teams/team-one/src/team_one/agents/user_proxy.py

@@ -3,7 +3,8 @@ from typing import Tuple
 
 from agnext.core import CancellationToken
 
-from .base_agent import BaseAgent, UserContent
+from ..messages import UserContent
+from .base_agent import BaseAgent
 
 
 class UserProxy(BaseAgent):

python/teams/team-one/src/team_one/messages.py

@@ -1,6 +1,14 @@
 from dataclasses import dataclass
+from typing import List, Union
 
-from agnext.components.models import LLMMessage
+from agnext.components import FunctionCall, Image
+from agnext.components.models import FunctionExecutionResult, LLMMessage
+
+# Convenience type
+UserContent = Union[str, List[Union[str, Image]]]
+AssistantContent = Union[str, List[FunctionCall]]
+FunctionExecutionContent = List[FunctionExecutionResult]
+SystemContent = str
 
 
 @dataclass

python/teams/team-one/src/team_one/utils.py

@@ -2,7 +2,7 @@ import json
 import logging
 import os
 from datetime import datetime
-from typing import Any, Dict
+from typing import Any, Dict, List
 
 from agnext.components.models import (
     AzureOpenAIChatCompletionClient,
@@ -11,7 +11,7 @@ from agnext.components.models import (
     OpenAIChatCompletionClient,
 )
 
-from .messages import OrchestrationEvent
+from .messages import AssistantContent, FunctionExecutionContent, OrchestrationEvent, SystemContent, UserContent
 
 ENVIRON_KEY_CHAT_COMPLETION_PROVIDER = "CHAT_COMPLETION_PROVIDER"
 ENVIRON_KEY_CHAT_COMPLETION_KWARGS_JSON = "CHAT_COMPLETION_KWARGS_JSON"
@@ -70,6 +70,24 @@ def create_completion_client_from_env(env: Dict[str, str] | None = None, **kwarg
         raise ValueError(f"Unknown OAI provider '{_provider}'")
 
 
+# Convert UserContent to a string
+def message_content_to_str(
+    message_content: UserContent | AssistantContent | SystemContent | FunctionExecutionContent,
+) -> str:
+    if isinstance(message_content, str):
+        return message_content
+    elif isinstance(message_content, List):
+        converted: List[str] = list()
+        for item in message_content:
+            if isinstance(item, str):
+                converted.append(item.rstrip())
+            else:
+                converted.append(str(item).rstrip())
+        return "\n".join(converted)
+    else:
+        raise AssertionError("Unexpected response type.")
+
+
 # TeamOne log event handler
 class LogHandler(logging.Handler):
     def __init__(self) -> None: