Update to final LynxScribe package names.

lynxkite-lynxscribe/src/lynxkite_lynxscribe/agentic.py

@@ -5,12 +5,12 @@ import os
 import typing
 
 from lynxkite_core import ops
-from lynxscribe.components.tool_use import LLM
+from lynxscribe.common import router
+from lynxscribe.core.llm import LLM
 from lynxscribe.components.mcp_client import MCPClient
-from lynxscribe.components.rag.rag_chatbot import RAGChatbotResponse
+from lynxscribe.core.models.streaming_response import StreamingResponse
 from lynxscribe.core.llm.base import get_llm_engine
 from lynxscribe.core.models.prompts import Function, Tool, ChatCompletionPrompt
-from lynxscribe.core import router
 
 if typing.TYPE_CHECKING:
     import fastapi
@@ -34,7 +34,7 @@ def gradio_chat(agent: dict):
     async def respond(message, chat_history):
         await ag.init()
         response = await ag.ask([*chat_history, {"role": "user", "content": message}])
-        async for messages in rag_chatbot_response_to_gradio(response):
+        async for messages in lynxscribe_response_to_gradio(response):
             yield messages
 
     ag = agent_from_dict(agent, default_model={"name": "openai", "model_name": "gpt-4.1-nano"})
@@ -207,7 +207,7 @@ class Agent:
 
         return {"error": "Not found"}
 
-    async def ask(self, messages: list[str], **kwargs) -> RAGChatbotResponse:
+    async def ask(self, messages: list[str], **kwargs) -> StreamingResponse:
         await self.init()
         res = await self.llm.ask([self.prompt, *messages], **kwargs)
         return res
@@ -244,7 +244,7 @@ class Agent:
         return ask
 
 
-async def rag_chatbot_response_to_gradio(response: RAGChatbotResponse):
+async def lynxscribe_response_to_gradio(response: StreamingResponse):
     """The Gradio chatbot interface expects a list of ChatMessage objects to be yielded.
     We can keep updating the messages to stream the response.
     """