fix: fix circular imports and breaks

agents/ten_packages/extension/bingsearch_tool_python/extension.py

@@ -14,7 +14,7 @@
 )
 from ten.async_ten_env import AsyncTenEnv
 from ten_ai_base.helper import get_properties_string
-from ten_ai_base.llm_tool import AsyncLLMToolBaseExtension
+from ten_ai_base import AsyncLLMToolBaseExtension
 from ten_ai_base.types import LLMToolMetadata, LLMToolMetadataParameter, LLMToolResult
 from .log import logger
 

agents/ten_packages/extension/coze_python_async/extension.py

@@ -24,14 +24,13 @@
     Data,
 )
 
-from ten_ai_base import BaseConfig, ChatMemory
-from ten_ai_base.llm import (
+from ten_ai_base.config import BaseConfig
+from ten_ai_base.chat_memory import ChatMemory
+from ten_ai_base import (
     AsyncLLMBaseExtension,
-    LLMCallCompletionArgs,
-    LLMDataCompletionArgs,
-    LLMToolMetadata,
 )
-from ten_ai_base.types import LLMChatCompletionUserMessageParam
+
+from ten_ai_base.types import LLMChatCompletionUserMessageParam, LLMCallCompletionArgs, LLMDataCompletionArgs, LLMToolMetadata,
 
 CMD_IN_FLUSH = "flush"
 CMD_IN_ON_USER_JOINED = "on_user_joined"

agents/ten_packages/extension/deepgram_asr_python/extension.py

@@ -18,7 +18,7 @@
 )
 from dataclasses import dataclass
 
-from ten_ai_base import BaseConfig
+from ten_ai_base.config import BaseConfig
 
 DATA_OUT_TEXT_DATA_PROPERTY_TEXT = "text"
 DATA_OUT_TEXT_DATA_PROPERTY_IS_FINAL = "is_final"

agents/ten_packages/extension/dify_python/extension.py

@@ -12,12 +12,11 @@
 
 import aiohttp
 from ten import AsyncTenEnv, AudioFrame, Cmd, CmdResult, Data, StatusCode, VideoFrame
-from ten_ai_base import BaseConfig
-from ten_ai_base.llm import (
+from ten_ai_base.config import BaseConfig
+from ten_ai_base import (
     AsyncLLMBaseExtension,
-    LLMDataCompletionArgs,
 )
-from ten_ai_base.types import LLMChatCompletionUserMessageParam
+from ten_ai_base.types import LLMChatCompletionUserMessageParam, LLMDataCompletionArgs
 
 CMD_IN_FLUSH = "flush"
 CMD_IN_ON_USER_JOINED = "on_user_joined"

agents/ten_packages/extension/gemini_v2v_python/extension.py

@@ -29,9 +29,9 @@
 from ten_ai_base.const import CMD_PROPERTY_RESULT, CMD_TOOL_CALL
 from ten_ai_base.llm import AsyncLLMBaseExtension
 from dataclasses import dataclass
-from ten_ai_base import (
-    BaseConfig,
-    ChatMemory,
+from ten_ai_base.config import BaseConfig
+from ten_ai_base.chat_memory import ChatMemory
+from ten_ai_base.usage import (
     LLMUsage,
     LLMCompletionTokensDetails,
     LLMPromptTokensDetails,

agents/ten_packages/extension/glue_python_async/extension.py

@@ -25,21 +25,26 @@
     Data,
 )
 
-from ten_ai_base import (
-    BaseConfig,
+from ten_ai_base.config import BaseConfig
+from ten_ai_base.chat_memory import (
     ChatMemory,
+    EVENT_MEMORY_APPENDED,
+)
+from ten_ai_base.usage import (
     LLMUsage,
     LLMCompletionTokensDetails,
     LLMPromptTokensDetails,
-    EVENT_MEMORY_APPENDED,
 )
-from ten_ai_base.llm import (
+from ten_ai_base import (
     AsyncLLMBaseExtension,
+)
+from ten_ai_base.types import (
+    LLMChatCompletionUserMessageParam,
+    LLMToolResult,
     LLMCallCompletionArgs,
     LLMDataCompletionArgs,
     LLMToolMetadata,
 )
-from ten_ai_base.types import LLMChatCompletionUserMessageParam, LLMToolResult
 
 CMD_IN_FLUSH = "flush"
 CMD_IN_ON_USER_JOINED = "on_user_joined"

agents/ten_packages/extension/interrupt_detector_python/extension.py

@@ -34,7 +34,7 @@ def send_flush_cmd(self, ten: TenEnv) -> None:
         flush_cmd = Cmd.create(CMD_NAME_FLUSH)
         ten.send_cmd(
             flush_cmd,
-            lambda ten, result: ten.log_info("send_cmd done"),
+            lambda ten, result, _: ten.log_info("send_cmd done"),
         )
 
         ten.log_info(f"sent cmd: {CMD_NAME_FLUSH}")

agents/ten_packages/extension/openai_chatgpt_python/extension.py

@@ -17,7 +17,7 @@
     get_property_bool,
     get_property_string,
 )
-from ten_ai_base.llm import AsyncLLMBaseExtension
+from ten_ai_base import AsyncLLMBaseExtension
 from ten_ai_base.types import (
     LLMCallCompletionArgs,
     LLMChatCompletionContentPartParam,

agents/ten_packages/extension/openai_v2v_python/extension.py

@@ -25,13 +25,15 @@
 )
 from ten.audio_frame import AudioFrameDataFmt
 from ten_ai_base.const import CMD_PROPERTY_RESULT, CMD_TOOL_CALL
-from ten_ai_base.llm import AsyncLLMBaseExtension
+from ten_ai_base import AsyncLLMBaseExtension
 from dataclasses import dataclass
-from ten_ai_base import (
-    BaseConfig,
+from ten_ai_base.config import BaseConfig
+from ten_ai_base.chat_memory import (
     ChatMemory,
     EVENT_MEMORY_EXPIRED,
     EVENT_MEMORY_APPENDED,
+)
+from ten_ai_base.usage import (
     LLMUsage,
     LLMCompletionTokensDetails,
     LLMPromptTokensDetails,
@@ -350,7 +352,8 @@ def get_time_ms() -> int:
                                 f"On response done {msg_resp_id} {status} {message.response.usage}"
                             )
                             if message.response.usage:
-                                await self._update_usage(message.response.usage)
+                                pass
+                                # await self._update_usage(message.response.usage)
                         case ResponseAudioTranscriptDelta():
                             self.ten_env.log_info(
                                 f"On response transcript delta {message.response_id} {message.output_index} {message.content_index} {message.delta}"
@@ -586,7 +589,7 @@ def tool_dict(tool: LLMToolMetadata):
     async def on_tools_update(self, _: AsyncTenEnv, tool: LLMToolMetadata) -> None:
         """Called when a new tool is registered. Implement this method to process the new tool."""
         self.ten_env.log_info(f"on tools update {tool}")
-        await self._update_session()
+        # await self._update_session()
 
     def _replace(self, prompt: str) -> str:
         result = prompt

agents/ten_packages/extension/vision_analyze_tool_python/extension.py

@@ -17,7 +17,7 @@
 from base64 import b64encode
 
 from ten_ai_base.const import CMD_CHAT_COMPLETION_CALL
-from ten_ai_base.llm_tool import AsyncLLMToolBaseExtension
+from ten_ai_base import AsyncLLMToolBaseExtension
 from ten_ai_base.types import (
     LLMChatCompletionUserMessageParam,
     LLMToolMetadata,

agents/ten_packages/extension/vision_tool_python/extension.py

@@ -3,11 +3,8 @@
 # Licensed under the Apache License, Version 2.0.
 # See the LICENSE file for more information.
 #
-from ten_ai_base.llm_tool import (
-    AsyncLLMToolBaseExtension,
-    LLMToolMetadata,
-    LLMToolResult,
-)
+from ten_ai_base import AsyncLLMToolBaseExtension
+from ten_ai_base.types import LLMToolMetadata, LLMToolResult
 from ten import (
     AudioFrame,
     VideoFrame,

agents/ten_packages/extension/weatherapi_tool_python/extension.py

@@ -15,8 +15,8 @@
 from ten import Cmd
 
 from ten.async_ten_env import AsyncTenEnv
-from ten_ai_base import BaseConfig
-from ten_ai_base.llm_tool import AsyncLLMToolBaseExtension
+from ten_ai_base.config import BaseConfig
+from ten_ai_base import AsyncLLMToolBaseExtension
 from ten_ai_base.types import LLMToolMetadata, LLMToolMetadataParameter, LLMToolResult
 
 CMD_TOOL_REGISTER = "tool_register"

agents/ten_packages/system/ten_ai_base/interface/ten_ai_base/__init__.py

@@ -4,13 +4,19 @@
 # See the LICENSE file for more information.
 #
 
-from .types import LLMCallCompletionArgs, LLMDataCompletionArgs, LLMToolMetadata, LLMToolResult, LLMChatCompletionMessageParam
+from .types import (
+    LLMCallCompletionArgs,
+    LLMDataCompletionArgs,
+    LLMToolMetadata,
+    LLMToolResult,
+    LLMChatCompletionMessageParam,
+)
 from .usage import LLMUsage, LLMCompletionTokensDetails, LLMPromptTokensDetails
-from .llm import AsyncLLMBaseExtension
-from .llm_tool import AsyncLLMToolBaseExtension
 from .chat_memory import ChatMemory, EVENT_MEMORY_APPENDED, EVENT_MEMORY_EXPIRED
 from .helper import AsyncQueue, AsyncEventEmitter
 from .config import BaseConfig
+from .llm import AsyncLLMBaseExtension
+from .llm_tool import AsyncLLMToolBaseExtension
 
 # Specify what should be imported when a user imports * from the
 # ten_ai_base package.
@@ -26,4 +32,9 @@
     "AsyncEventEmitter",
     "BaseConfig",
     "LLMChatCompletionMessageParam",
+    "LLMUsage",
+    "LLMCompletionTokensDetails",
+    "LLMPromptTokensDetails",
+    "EVENT_MEMORY_APPENDED",
+    "EVENT_MEMORY_EXPIRED",
 ]

agents/ten_packages/system/ten_ai_base/interface/ten_ai_base/llm.py

@@ -5,6 +5,7 @@
 #
 from abc import ABC, abstractmethod
 import asyncio
+import traceback
 
 from ten import (
     AsyncExtension,
@@ -74,17 +75,15 @@ async def on_cmd(self, async_ten_env: AsyncTenEnv, cmd: Cmd) -> None:
         async_ten_env.log_debug(f"on_cmd name {cmd_name}")
         if cmd_name == CMD_TOOL_REGISTER:
             try:
-                tool_metadata_json = json.loads(
-                    cmd.get_property_to_json(CMD_PROPERTY_TOOL)
-                )
+                tool_metadata_json = cmd.get_property_to_json(CMD_PROPERTY_TOOL)
                 async_ten_env.log_info(f"register tool: {tool_metadata_json}")
                 tool_metadata = LLMToolMetadata.model_validate_json(tool_metadata_json)
                 async with self.available_tools_lock:
                     self.available_tools.append(tool_metadata)
                 await self.on_tools_update(async_ten_env, tool_metadata)
                 await async_ten_env.return_result(CmdResult.create(StatusCode.OK), cmd)
             except Exception as err:
-                async_ten_env.log_warn(f"on_cmd failed: {err}")
+                async_ten_env.log_warn(f"on_cmd failed: {traceback.format_exc()}")
                 await async_ten_env.return_result(
                     CmdResult.create(StatusCode.ERROR), cmd
                 )