47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
from autogen_agentchat.agents import AssistantAgent
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from autogen_agentchat.messages import MultiModalMessage, TextMessage
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from autogen_core import Image
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from autogen_core.models import ModelFamily
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from autogen_ext.models.ollama import OllamaChatCompletionClient
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from . import config
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from .mcp_tools import get_weather, web_search
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class AvatarAgentService:
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def __init__(self) -> None:
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model_client = OllamaChatCompletionClient(
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model=config.OLLAMA_MODEL,
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model_info={
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"vision": True,
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"function_calling": True,
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"json_output": True,
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"family": ModelFamily.UNKNOWN,
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"structured_output": True,
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},
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)
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# 定义可用的 MCP 工具
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tools = [
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get_weather,
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web_search,
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]
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self._agent = AssistantAgent(
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name="avatar",
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model_client=model_client,
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system_message=config.SYSTEM_MESSAGE,
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tools=tools,
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)
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async def reply(self, user_text: str, image_b64: str) -> str:
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user_image = Image.from_base64(image_b64)
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multimodal_task = MultiModalMessage(source="user", content=[user_text, user_image])
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ai_response = ""
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async for message in self._agent.run_stream(task=multimodal_task):
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if isinstance(message, TextMessage) and message.source == "avatar":
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ai_response = message.content
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return ai_response
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