feat: enhance tool call handling and agent stats tracking and UI integration for tool calls render (#4101)
* feat: enhance tool call handling and UI integration for tool calls render - Added support for tool call messages in the agent runner and webchat event handling. - Implemented JSON message component for structured tool call data. - Updated chat route to save tool call information in message history. - Enhanced frontend to display tool call details in a collapsible format, including status and results. - Introduced elapsed time tracking for ongoing tool calls in the chat interface. * fix: improve message handling in agent run utility and tool loop runner - Refactored message sending logic in `astr_agent_run_util.py` to use `msg_chain` directly for better clarity. - Added a check in `tool_loop_agent_runner.py` to ensure `tool_call_result_blocks` is not empty before yielding the last tool call result, preventing potential errors. * refactor: enhance message structure and UI for chat components - Updated message handling in `MessageList.vue` to support structured message parts, including plain text, images, audio, and files. - Improved the `Chat.vue` component styles for better visual consistency. - Refactored message parsing logic in `useMessages.ts` to accommodate new message formats and ensure proper rendering of embedded content. - Removed deprecated tool call handling from the message structure, streamlining the message display process. * chore: ruff format * feat: implement agent statistics tracking and display in chat - Added `AgentStats` and `TokenUsage` data classes to track agent performance metrics. - Enhanced `ToolLoopAgentRunner` to collect and update agent statistics during execution. - Integrated agent statistics sending to webchat for real-time updates. - Updated chat route to save and display agent statistics in message history. - Improved frontend components to visualize agent statistics, including token usage and duration metrics. * fix: improve message handling in Telegram event and agent run utility - Updated message sending logic in `astr_agent_run_util.py` to send the correct message chain for tool calls. - Enhanced `tg_event.py` to edit messages during streaming breaks, improving message management and user experience. - Added error handling for message editing failures to ensure robustness. * chore: ruff format
This commit is contained in:
@@ -1,7 +1,8 @@
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import typing as T
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from dataclasses import dataclass
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from dataclasses import dataclass, field
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from astrbot.core.message.message_event_result import MessageChain
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from astrbot.core.provider.entities import TokenUsage
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class AgentResponseData(T.TypedDict):
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@@ -12,3 +13,23 @@ class AgentResponseData(T.TypedDict):
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class AgentResponse:
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type: str
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data: AgentResponseData
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@dataclass
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class AgentStats:
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token_usage: TokenUsage = field(default_factory=TokenUsage)
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start_time: float = 0.0
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end_time: float = 0.0
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time_to_first_token: float = 0.0
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@property
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def duration(self) -> float:
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return self.end_time - self.start_time
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def to_dict(self) -> dict:
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return {
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"token_usage": self.token_usage.__dict__,
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"start_time": self.start_time,
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"end_time": self.end_time,
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"time_to_first_token": self.time_to_first_token,
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}
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@@ -1,4 +1,5 @@
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import sys
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import time
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import traceback
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import typing as T
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@@ -12,6 +13,7 @@ from mcp.types import (
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)
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from astrbot import logger
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from astrbot.core.message.components import Json
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from astrbot.core.message.message_event_result import (
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MessageChain,
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)
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@@ -24,7 +26,7 @@ from astrbot.core.provider.provider import Provider
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from ..hooks import BaseAgentRunHooks
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from ..message import AssistantMessageSegment, Message, ToolCallMessageSegment
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from ..response import AgentResponseData
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from ..response import AgentResponseData, AgentStats
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from ..run_context import ContextWrapper, TContext
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from ..tool_executor import BaseFunctionToolExecutor
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from .base import AgentResponse, AgentState, BaseAgentRunner
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@@ -69,6 +71,9 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
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)
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self.run_context.messages = messages
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self.stats = AgentStats()
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self.stats.start_time = time.time()
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async def _iter_llm_responses(self) -> T.AsyncGenerator[LLMResponse, None]:
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"""Yields chunks *and* a final LLMResponse."""
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if self.streaming:
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@@ -98,6 +103,10 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
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async for llm_response in self._iter_llm_responses():
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if llm_response.is_chunk:
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# update ttft
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if self.stats.time_to_first_token == 0:
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self.stats.time_to_first_token = time.time() - self.stats.start_time
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if llm_response.result_chain:
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yield AgentResponse(
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type="streaming_delta",
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@@ -121,6 +130,10 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
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)
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continue
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llm_resp_result = llm_response
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if not llm_response.is_chunk and llm_response.usage:
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# only count the token usage of the final response for computation purpose
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self.stats.token_usage += llm_response.usage
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break # got final response
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if not llm_resp_result:
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@@ -132,6 +145,7 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
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if llm_resp.role == "err":
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# 如果 LLM 响应错误,转换到错误状态
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self.final_llm_resp = llm_resp
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self.stats.end_time = time.time()
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self._transition_state(AgentState.ERROR)
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yield AgentResponse(
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type="err",
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@@ -146,6 +160,7 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
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# 如果没有工具调用,转换到完成状态
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self.final_llm_resp = llm_resp
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self._transition_state(AgentState.DONE)
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self.stats.end_time = time.time()
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# record the final assistant message
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self.run_context.messages.append(
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Message(
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@@ -175,23 +190,19 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
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# 如果有工具调用,还需处理工具调用
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if llm_resp.tools_call_name:
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tool_call_result_blocks = []
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for tool_call_name in llm_resp.tools_call_name:
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yield AgentResponse(
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type="tool_call",
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data=AgentResponseData(
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chain=MessageChain(type="tool_call").message(
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f"🔨 调用工具: {tool_call_name}"
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),
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),
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)
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async for result in self._handle_function_tools(self.req, llm_resp):
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if isinstance(result, list):
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tool_call_result_blocks = result
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elif isinstance(result, MessageChain):
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if result.type is None:
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result.type = "tool_call_result"
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# should not happen
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continue
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if result.type == "tool_direct_result":
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ar_type = "tool_call_result"
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else:
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ar_type = result.type
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yield AgentResponse(
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type="tool_call_result",
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type=ar_type,
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data=AgentResponseData(chain=result),
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)
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# 将结果添加到上下文中
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@@ -234,6 +245,19 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
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llm_response.tools_call_args,
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llm_response.tools_call_ids,
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):
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yield MessageChain(
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type="tool_call",
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chain=[
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Json(
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data={
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"id": func_tool_id,
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"name": func_tool_name,
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"args": func_tool_args,
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"ts": time.time(),
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}
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)
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],
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)
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try:
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if not req.func_tool:
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return
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@@ -307,7 +331,6 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
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content=res.content[0].text,
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),
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)
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yield MessageChain().message(res.content[0].text)
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elif isinstance(res.content[0], ImageContent):
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tool_call_result_blocks.append(
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ToolCallMessageSegment(
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@@ -329,7 +352,6 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
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content=resource.text,
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),
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)
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yield MessageChain().message(resource.text)
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elif (
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isinstance(resource, BlobResourceContents)
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and resource.mimeType
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@@ -353,7 +375,22 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
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content="返回的数据类型不受支持",
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),
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)
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yield MessageChain().message("返回的数据类型不受支持。")
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# yield the last tool call result
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if tool_call_result_blocks:
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last_tcr_content = str(tool_call_result_blocks[-1].content)
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yield MessageChain(
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type="tool_call_result",
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chain=[
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Json(
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data={
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"id": func_tool_id,
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"ts": time.time(),
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"result": last_tcr_content,
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}
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)
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],
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)
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elif resp is None:
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# Tool 直接请求发送消息给用户
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@@ -363,6 +400,7 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
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f"{func_tool_name} 没有没有返回值或者将结果直接发送给用户,此工具调用不会被记录到历史中。"
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)
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self._transition_state(AgentState.DONE)
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self.stats.end_time = time.time()
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else:
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# 不应该出现其他类型
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logger.warning(
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@@ -4,6 +4,7 @@ from collections.abc import AsyncGenerator
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from astrbot.core import logger
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from astrbot.core.agent.runners.tool_loop_agent_runner import ToolLoopAgentRunner
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from astrbot.core.astr_agent_context import AstrAgentContext
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from astrbot.core.message.components import Json
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from astrbot.core.message.message_event_result import (
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MessageChain,
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MessageEventResult,
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@@ -33,16 +34,27 @@ async def run_agent(
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msg_chain = resp.data["chain"]
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if msg_chain.type == "tool_direct_result":
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# tool_direct_result 用于标记 llm tool 需要直接发送给用户的内容
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await astr_event.send(resp.data["chain"])
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await astr_event.send(msg_chain)
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continue
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if astr_event.get_platform_id() == "webchat":
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await astr_event.send(msg_chain)
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# 对于其他情况,暂时先不处理
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continue
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elif resp.type == "tool_call":
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if agent_runner.streaming:
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# 用来标记流式响应需要分节
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yield MessageChain(chain=[], type="break")
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if show_tool_use:
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if astr_event.get_platform_name() == "webchat":
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await astr_event.send(resp.data["chain"])
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elif show_tool_use:
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json_comp = resp.data["chain"].chain[0]
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if isinstance(json_comp, Json):
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m = f"🔨 调用工具: {json_comp.data.get('name')}"
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else:
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m = "🔨 调用工具..."
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chain = MessageChain(type="tool_call").message(m)
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await astr_event.send(chain)
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continue
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if stream_to_general and resp.type == "streaming_delta":
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@@ -69,6 +81,15 @@ async def run_agent(
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continue
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yield resp.data["chain"] # MessageChain
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if agent_runner.done():
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# send agent stats to webchat
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if astr_event.get_platform_name() == "webchat":
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await astr_event.send(
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MessageChain(
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type="agent_stats",
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chain=[Json(data=agent_runner.stats.to_dict())],
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)
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)
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break
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except Exception as e:
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@@ -629,12 +629,11 @@ class Nodes(BaseMessageComponent):
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class Json(BaseMessageComponent):
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type = ComponentType.Json
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data: str | dict
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resid: int | None = 0
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data: dict
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def __init__(self, data, **_):
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if isinstance(data, dict):
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data = json.dumps(data)
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def __init__(self, data: str | dict, **_):
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if isinstance(data, str):
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data = json.loads(data)
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super().__init__(data=data, **_)
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@@ -200,6 +200,15 @@ class TelegramPlatformEvent(AstrMessageEvent):
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if isinstance(chain, MessageChain):
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if chain.type == "break":
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# 分割符
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if message_id:
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try:
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await self.client.edit_message_text(
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text=delta,
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chat_id=payload["chat_id"],
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message_id=message_id,
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)
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except Exception as e:
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logger.warning(f"编辑消息失败(streaming-break): {e!s}")
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message_id = None # 重置消息 ID
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delta = "" # 重置 delta
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continue
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@@ -1,11 +1,12 @@
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import base64
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import json
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import os
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import shutil
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import uuid
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from astrbot.api import logger
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from astrbot.api.event import AstrMessageEvent, MessageChain
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from astrbot.api.message_components import File, Image, Plain, Record
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from astrbot.api.message_components import File, Image, Json, Plain, Record
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from astrbot.core.utils.astrbot_path import get_astrbot_data_path
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from .webchat_queue_mgr import webchat_queue_mgr
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@@ -41,12 +42,20 @@ class WebChatMessageEvent(AstrMessageEvent):
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await web_chat_back_queue.put(
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{
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"type": "plain",
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"cid": cid,
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"data": data,
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"streaming": streaming,
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"chain_type": message.type,
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},
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)
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elif isinstance(comp, Json):
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await web_chat_back_queue.put(
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{
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"type": "plain",
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"data": json.dumps(comp.data, ensure_ascii=False),
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"streaming": streaming,
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"chain_type": message.type,
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},
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)
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elif isinstance(comp, Image):
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# save image to local
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filename = f"{str(uuid.uuid4())}.jpg"
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@@ -58,7 +67,6 @@ class WebChatMessageEvent(AstrMessageEvent):
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await web_chat_back_queue.put(
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{
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"type": "image",
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"cid": cid,
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"data": data,
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"streaming": streaming,
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},
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@@ -74,7 +82,6 @@ class WebChatMessageEvent(AstrMessageEvent):
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await web_chat_back_queue.put(
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{
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"type": "record",
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"cid": cid,
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"data": data,
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"streaming": streaming,
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},
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@@ -91,7 +98,6 @@ class WebChatMessageEvent(AstrMessageEvent):
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await web_chat_back_queue.put(
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{
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"type": "file",
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"cid": cid,
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"data": data,
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"streaming": streaming,
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},
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@@ -111,18 +117,17 @@ class WebChatMessageEvent(AstrMessageEvent):
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cid = self.session_id.split("!")[-1]
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web_chat_back_queue = webchat_queue_mgr.get_or_create_back_queue(cid)
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async for chain in generator:
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if chain.type == "break" and final_data:
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# 分割符
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await web_chat_back_queue.put(
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{
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"type": "break", # break means a segment end
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"data": final_data,
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"streaming": True,
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"cid": cid,
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},
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)
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final_data = ""
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continue
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# if chain.type == "break" and final_data:
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# # 分割符
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# await web_chat_back_queue.put(
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# {
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# "type": "break", # break means a segment end
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# "data": final_data,
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# "streaming": True,
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# },
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# )
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# final_data = ""
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# continue
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r = await WebChatMessageEvent._send(
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chain,
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@@ -142,7 +147,6 @@ class WebChatMessageEvent(AstrMessageEvent):
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"data": final_data,
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"reasoning": reasoning_content,
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"streaming": True,
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"cid": cid,
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},
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)
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await super().send_streaming(generator, use_fallback)
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@@ -1,3 +1,5 @@
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from __future__ import annotations
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import base64
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import enum
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import json
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@@ -199,6 +201,38 @@ class ProviderRequest:
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return ""
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|
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|
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@dataclass
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class TokenUsage:
|
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input_other: int = 0
|
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"""The number of input tokens, excluding cached tokens."""
|
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input_cached: int = 0
|
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"""The number of input cached tokens."""
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output: int = 0
|
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"""The number of output tokens."""
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|
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@property
|
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def total(self) -> int:
|
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return self.input_other + self.input_cached + self.output
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|
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@property
|
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def input(self) -> int:
|
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return self.input_other + self.input_cached
|
||||
|
||||
def __add__(self, other: TokenUsage) -> TokenUsage:
|
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return TokenUsage(
|
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input_other=self.input_other + other.input_other,
|
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input_cached=self.input_cached + other.input_cached,
|
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output=self.output + other.output,
|
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)
|
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|
||||
def __sub__(self, other: TokenUsage) -> TokenUsage:
|
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return TokenUsage(
|
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input_other=self.input_other - other.input_other,
|
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input_cached=self.input_cached - other.input_cached,
|
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output=self.output - other.output,
|
||||
)
|
||||
|
||||
|
||||
@dataclass
|
||||
class LLMResponse:
|
||||
role: str
|
||||
@@ -227,6 +261,11 @@ class LLMResponse:
|
||||
is_chunk: bool = False
|
||||
"""Indicates if the response is a chunked response."""
|
||||
|
||||
id: str | None = None
|
||||
"""The ID of the response. For chunked responses, it's the ID of the chunk; for non-chunked responses, it's the ID of the response."""
|
||||
usage: TokenUsage | None = None
|
||||
"""The usage of the response. For chunked responses, it's the usage of the chunk; for non-chunked responses, it's the usage of the response."""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
role: str,
|
||||
@@ -241,6 +280,8 @@ class LLMResponse:
|
||||
| AnthropicMessage
|
||||
| None = None,
|
||||
is_chunk: bool = False,
|
||||
id: str | None = None,
|
||||
usage: TokenUsage | None = None,
|
||||
):
|
||||
"""初始化 LLMResponse
|
||||
|
||||
|
||||
@@ -6,10 +6,12 @@ from mimetypes import guess_type
|
||||
import anthropic
|
||||
from anthropic import AsyncAnthropic
|
||||
from anthropic.types import Message
|
||||
from anthropic.types.message_delta_usage import MessageDeltaUsage
|
||||
from anthropic.types.usage import Usage
|
||||
|
||||
from astrbot import logger
|
||||
from astrbot.api.provider import Provider
|
||||
from astrbot.core.provider.entities import LLMResponse
|
||||
from astrbot.core.provider.entities import LLMResponse, TokenUsage
|
||||
from astrbot.core.provider.func_tool_manager import ToolSet
|
||||
from astrbot.core.utils.io import download_image_by_url
|
||||
|
||||
@@ -107,6 +109,22 @@ class ProviderAnthropic(Provider):
|
||||
|
||||
return system_prompt, new_messages
|
||||
|
||||
def _extract_usage(self, usage: Usage) -> TokenUsage:
|
||||
# https://docs.claude.com/en/docs/build-with-claude/prompt-caching#tracking-cache-performance
|
||||
return TokenUsage(
|
||||
input_other=usage.input_tokens or 0,
|
||||
input_cached=usage.cache_read_input_tokens or 0,
|
||||
output=usage.output_tokens,
|
||||
)
|
||||
|
||||
def _update_usage(self, token_usage: TokenUsage, usage: MessageDeltaUsage) -> None:
|
||||
if usage.input_tokens is not None:
|
||||
token_usage.input_other = usage.input_tokens
|
||||
if usage.cache_read_input_tokens is not None:
|
||||
token_usage.input_cached = usage.cache_read_input_tokens
|
||||
if usage.output_tokens is not None:
|
||||
token_usage.output = usage.output_tokens
|
||||
|
||||
async def _query(self, payloads: dict, tools: ToolSet | None) -> LLMResponse:
|
||||
if tools:
|
||||
if tool_list := tools.get_func_desc_anthropic_style():
|
||||
@@ -131,6 +149,10 @@ class ProviderAnthropic(Provider):
|
||||
llm_response.tools_call_args.append(content_block.input)
|
||||
llm_response.tools_call_name.append(content_block.name)
|
||||
llm_response.tools_call_ids.append(content_block.id)
|
||||
|
||||
llm_response.id = completion.id
|
||||
llm_response.usage = self._extract_usage(completion.usage)
|
||||
|
||||
# TODO(Soulter): 处理 end_turn 情况
|
||||
if not llm_response.completion_text and not llm_response.tools_call_args:
|
||||
raise Exception(f"Anthropic API 返回的 completion 无法解析:{completion}。")
|
||||
@@ -152,9 +174,16 @@ class ProviderAnthropic(Provider):
|
||||
final_text = ""
|
||||
final_tool_calls = []
|
||||
|
||||
id = None
|
||||
usage = TokenUsage()
|
||||
|
||||
async with self.client.messages.stream(**payloads) as stream:
|
||||
assert isinstance(stream, anthropic.AsyncMessageStream)
|
||||
async for event in stream:
|
||||
if event.type == "message_start":
|
||||
# the usage contains input token usage
|
||||
id = event.message.id
|
||||
usage = self._extract_usage(event.message.usage)
|
||||
if event.type == "content_block_start":
|
||||
if event.content_block.type == "text":
|
||||
# 文本块开始
|
||||
@@ -162,6 +191,8 @@ class ProviderAnthropic(Provider):
|
||||
role="assistant",
|
||||
completion_text="",
|
||||
is_chunk=True,
|
||||
usage=usage,
|
||||
id=id,
|
||||
)
|
||||
elif event.content_block.type == "tool_use":
|
||||
# 工具使用块开始,初始化缓冲区
|
||||
@@ -179,6 +210,8 @@ class ProviderAnthropic(Provider):
|
||||
role="assistant",
|
||||
completion_text=event.delta.text,
|
||||
is_chunk=True,
|
||||
usage=usage,
|
||||
id=id,
|
||||
)
|
||||
elif event.delta.type == "input_json_delta":
|
||||
# 工具调用参数增量
|
||||
@@ -215,6 +248,8 @@ class ProviderAnthropic(Provider):
|
||||
tools_call_name=[tool_info["name"]],
|
||||
tools_call_ids=[tool_info["id"]],
|
||||
is_chunk=True,
|
||||
usage=usage,
|
||||
id=id,
|
||||
)
|
||||
except json.JSONDecodeError:
|
||||
# JSON 解析失败,跳过这个工具调用
|
||||
@@ -223,11 +258,17 @@ class ProviderAnthropic(Provider):
|
||||
# 清理缓冲区
|
||||
del tool_use_buffer[event.index]
|
||||
|
||||
elif event.type == "message_delta":
|
||||
if event.usage:
|
||||
self._update_usage(usage, event.usage)
|
||||
|
||||
# 返回最终的完整结果
|
||||
final_response = LLMResponse(
|
||||
role="assistant",
|
||||
completion_text=final_text,
|
||||
is_chunk=False,
|
||||
usage=usage,
|
||||
id=id,
|
||||
)
|
||||
|
||||
if final_tool_calls:
|
||||
|
||||
@@ -14,7 +14,7 @@ import astrbot.core.message.components as Comp
|
||||
from astrbot import logger
|
||||
from astrbot.api.provider import Provider
|
||||
from astrbot.core.message.message_event_result import MessageChain
|
||||
from astrbot.core.provider.entities import LLMResponse
|
||||
from astrbot.core.provider.entities import LLMResponse, TokenUsage
|
||||
from astrbot.core.provider.func_tool_manager import ToolSet
|
||||
from astrbot.core.utils.io import download_image_by_url
|
||||
|
||||
@@ -347,6 +347,16 @@ class ProviderGoogleGenAI(Provider):
|
||||
]
|
||||
return "".join(thought_buf).strip()
|
||||
|
||||
def _extract_usage(
|
||||
self, usage_metadata: types.GenerateContentResponseUsageMetadata
|
||||
) -> TokenUsage:
|
||||
"""Extract usage from candidate"""
|
||||
return TokenUsage(
|
||||
input_other=usage_metadata.prompt_token_count or 0,
|
||||
input_cached=usage_metadata.cached_content_token_count or 0,
|
||||
output=usage_metadata.candidates_token_count or 0,
|
||||
)
|
||||
|
||||
def _process_content_parts(
|
||||
self,
|
||||
candidate: types.Candidate,
|
||||
@@ -501,6 +511,9 @@ class ProviderGoogleGenAI(Provider):
|
||||
result.candidates[0],
|
||||
llm_response,
|
||||
)
|
||||
llm_response.id = result.response_id
|
||||
if result.usage_metadata:
|
||||
llm_response.usage = self._extract_usage(result.usage_metadata)
|
||||
return llm_response
|
||||
|
||||
async def _query_stream(
|
||||
@@ -569,6 +582,9 @@ class ProviderGoogleGenAI(Provider):
|
||||
chunk.candidates[0],
|
||||
llm_response,
|
||||
)
|
||||
llm_response.id = chunk.response_id
|
||||
if chunk.usage_metadata:
|
||||
llm_response.usage = self._extract_usage(chunk.usage_metadata)
|
||||
yield llm_response
|
||||
return
|
||||
|
||||
@@ -596,6 +612,9 @@ class ProviderGoogleGenAI(Provider):
|
||||
chunk.candidates[0],
|
||||
final_response,
|
||||
)
|
||||
final_response.id = chunk.response_id
|
||||
if chunk.usage_metadata:
|
||||
final_response.usage = self._extract_usage(chunk.usage_metadata)
|
||||
break
|
||||
|
||||
# Yield final complete response with accumulated text
|
||||
|
||||
@@ -12,6 +12,7 @@ from openai._exceptions import NotFoundError
|
||||
from openai.lib.streaming.chat._completions import ChatCompletionStreamState
|
||||
from openai.types.chat.chat_completion import ChatCompletion
|
||||
from openai.types.chat.chat_completion_chunk import ChatCompletionChunk
|
||||
from openai.types.completion_usage import CompletionUsage
|
||||
|
||||
import astrbot.core.message.components as Comp
|
||||
from astrbot import logger
|
||||
@@ -19,7 +20,7 @@ from astrbot.api.provider import Provider
|
||||
from astrbot.core.agent.message import Message
|
||||
from astrbot.core.agent.tool import ToolSet
|
||||
from astrbot.core.message.message_event_result import MessageChain
|
||||
from astrbot.core.provider.entities import LLMResponse, ToolCallsResult
|
||||
from astrbot.core.provider.entities import LLMResponse, TokenUsage, ToolCallsResult
|
||||
from astrbot.core.utils.io import download_image_by_url
|
||||
|
||||
from ..register import register_provider_adapter
|
||||
@@ -208,6 +209,7 @@ class ProviderOpenAIOfficial(Provider):
|
||||
# handle the content delta
|
||||
reasoning = self._extract_reasoning_content(chunk)
|
||||
_y = False
|
||||
llm_response.id = chunk.id
|
||||
if reasoning:
|
||||
llm_response.reasoning_content = reasoning
|
||||
_y = True
|
||||
@@ -217,6 +219,8 @@ class ProviderOpenAIOfficial(Provider):
|
||||
chain=[Comp.Plain(completion_text)],
|
||||
)
|
||||
_y = True
|
||||
if chunk.usage:
|
||||
llm_response.usage = self._extract_usage(chunk.usage)
|
||||
if _y:
|
||||
yield llm_response
|
||||
|
||||
@@ -245,6 +249,15 @@ class ProviderOpenAIOfficial(Provider):
|
||||
reasoning_text = str(reasoning_attr)
|
||||
return reasoning_text
|
||||
|
||||
def _extract_usage(self, usage: CompletionUsage) -> TokenUsage:
|
||||
ptd = usage.prompt_tokens_details
|
||||
cached = ptd.cached_tokens if ptd and ptd.cached_tokens else 0
|
||||
return TokenUsage(
|
||||
input_other=usage.prompt_tokens - cached,
|
||||
input_cached=ptd.cached_tokens if ptd and ptd.cached_tokens else 0,
|
||||
output=usage.completion_tokens,
|
||||
)
|
||||
|
||||
async def _parse_openai_completion(
|
||||
self, completion: ChatCompletion, tools: ToolSet | None
|
||||
) -> LLMResponse:
|
||||
@@ -321,6 +334,10 @@ class ProviderOpenAIOfficial(Provider):
|
||||
raise Exception(f"API 返回的 completion 无法解析:{completion}。")
|
||||
|
||||
llm_response.raw_completion = completion
|
||||
llm_response.id = completion.id
|
||||
|
||||
if completion.usage:
|
||||
llm_response.usage = self._extract_usage(completion.usage)
|
||||
|
||||
return llm_response
|
||||
|
||||
|
||||
@@ -296,6 +296,10 @@ class Context:
|
||||
provider_type=ProviderType.CHAT_COMPLETION,
|
||||
umo=umo,
|
||||
)
|
||||
if prov is None:
|
||||
raise ProviderNotFoundError(
|
||||
"provider not found, please choose provider first"
|
||||
)
|
||||
if not isinstance(prov, Provider):
|
||||
raise ValueError("返回的 Provider 不是 Provider 类型")
|
||||
return prov
|
||||
|
||||
@@ -227,16 +227,19 @@ class ChatRoute(Route):
|
||||
text: str,
|
||||
media_parts: list,
|
||||
reasoning: str,
|
||||
agent_stats: dict,
|
||||
):
|
||||
"""保存 bot 消息到历史记录,返回保存的记录"""
|
||||
bot_message_parts = []
|
||||
bot_message_parts.extend(media_parts)
|
||||
if text:
|
||||
bot_message_parts.append({"type": "plain", "text": text})
|
||||
bot_message_parts.extend(media_parts)
|
||||
|
||||
new_his = {"type": "bot", "message": bot_message_parts}
|
||||
if reasoning:
|
||||
new_his["reasoning"] = reasoning
|
||||
if agent_stats:
|
||||
new_his["agent_stats"] = agent_stats
|
||||
|
||||
record = await self.platform_history_mgr.insert(
|
||||
platform_id="webchat",
|
||||
@@ -294,7 +297,8 @@ class ChatRoute(Route):
|
||||
accumulated_parts = []
|
||||
accumulated_text = ""
|
||||
accumulated_reasoning = ""
|
||||
|
||||
tool_calls = {}
|
||||
agent_stats = {}
|
||||
try:
|
||||
async with track_conversation(self.running_convs, webchat_conv_id):
|
||||
while True:
|
||||
@@ -314,6 +318,16 @@ class ChatRoute(Route):
|
||||
result_text = result["data"]
|
||||
msg_type = result.get("type")
|
||||
streaming = result.get("streaming", False)
|
||||
chain_type = result.get("chain_type")
|
||||
|
||||
if chain_type == "agent_stats":
|
||||
stats_info = {
|
||||
"type": "agent_stats",
|
||||
"data": json.loads(result_text),
|
||||
}
|
||||
yield f"data: {json.dumps(stats_info, ensure_ascii=False)}\n\n"
|
||||
agent_stats = stats_info["data"]
|
||||
continue
|
||||
|
||||
# 发送 SSE 数据
|
||||
try:
|
||||
@@ -335,8 +349,30 @@ class ChatRoute(Route):
|
||||
|
||||
# 累积消息部分
|
||||
if msg_type == "plain":
|
||||
chain_type = result.get("chain_type", "normal")
|
||||
if chain_type == "reasoning":
|
||||
chain_type = result.get("chain_type")
|
||||
if chain_type == "tool_call":
|
||||
tool_call = json.loads(result_text)
|
||||
tool_calls[tool_call.get("id")] = tool_call
|
||||
if accumulated_text:
|
||||
# 如果累积了文本,则先保存文本
|
||||
accumulated_parts.append(
|
||||
{"type": "plain", "text": accumulated_text}
|
||||
)
|
||||
accumulated_text = ""
|
||||
elif chain_type == "tool_call_result":
|
||||
tcr = json.loads(result_text)
|
||||
tc_id = tcr.get("id")
|
||||
if tc_id in tool_calls:
|
||||
tool_calls[tc_id]["result"] = tcr.get("result")
|
||||
tool_calls[tc_id]["finished_ts"] = tcr.get("ts")
|
||||
accumulated_parts.append(
|
||||
{
|
||||
"type": "tool_call",
|
||||
"tool_calls": [tool_calls[tc_id]],
|
||||
}
|
||||
)
|
||||
tool_calls.pop(tc_id, None)
|
||||
elif chain_type == "reasoning":
|
||||
accumulated_reasoning += result_text
|
||||
elif streaming:
|
||||
accumulated_text += result_text
|
||||
@@ -369,15 +405,20 @@ class ChatRoute(Route):
|
||||
if msg_type == "end":
|
||||
break
|
||||
elif (
|
||||
(streaming and msg_type == "complete")
|
||||
or not streaming
|
||||
or msg_type == "break"
|
||||
(streaming and msg_type == "complete") or not streaming
|
||||
# or msg_type == "break"
|
||||
):
|
||||
if (
|
||||
chain_type == "tool_call"
|
||||
or chain_type == "tool_call_result"
|
||||
):
|
||||
continue
|
||||
saved_record = await self._save_bot_message(
|
||||
webchat_conv_id,
|
||||
accumulated_text,
|
||||
accumulated_parts,
|
||||
accumulated_reasoning,
|
||||
agent_stats,
|
||||
)
|
||||
# 发送保存的消息信息给前端
|
||||
if saved_record and not client_disconnected:
|
||||
@@ -392,11 +433,11 @@ class ChatRoute(Route):
|
||||
yield f"data: {json.dumps(saved_info, ensure_ascii=False)}\n\n"
|
||||
except Exception:
|
||||
pass
|
||||
# 重置累积变量 (对于 break 后的下一段消息)
|
||||
if msg_type == "break":
|
||||
accumulated_parts = []
|
||||
accumulated_text = ""
|
||||
accumulated_reasoning = ""
|
||||
accumulated_parts = []
|
||||
accumulated_text = ""
|
||||
accumulated_reasoning = ""
|
||||
tool_calls = {}
|
||||
agent_stats = {}
|
||||
except BaseException as e:
|
||||
logger.exception(f"WebChat stream unexpected error: {e}", exc_info=True)
|
||||
|
||||
|
||||
@@ -575,5 +575,9 @@ onBeforeUnmount(() => {
|
||||
.chat-page-container {
|
||||
padding: 0 !important;
|
||||
}
|
||||
|
||||
.conversation-header {
|
||||
padding: 2px;
|
||||
}
|
||||
}
|
||||
</style>
|
||||
|
||||
@@ -5,56 +5,66 @@
|
||||
<div class="message-item fade-in" v-for="(msg, index) in messages" :key="index">
|
||||
<!-- 用户消息 -->
|
||||
<div v-if="msg.content.type == 'user'" class="user-message">
|
||||
<div class="message-bubble user-bubble" :class="{ 'has-audio': msg.content.audio_url }"
|
||||
<div class="message-bubble user-bubble" :class="{ 'has-audio': hasAudio(msg.content.message) }"
|
||||
:style="{ backgroundColor: isDark ? '#2d2e30' : '#e7ebf4' }">
|
||||
<!-- 引用消息 -->
|
||||
<div v-if="msg.content.reply_to" class="reply-quote" @click="scrollToMessage(msg.content.reply_to.message_id)">
|
||||
<v-icon size="small" class="reply-quote-icon">mdi-reply</v-icon>
|
||||
<span class="reply-quote-text">{{ getReplyContent(msg.content.reply_to.message_id) }}</span>
|
||||
</div>
|
||||
<pre
|
||||
style="font-family: inherit; white-space: pre-wrap; word-wrap: break-word;">{{ msg.content.message }}</pre>
|
||||
|
||||
<!-- 图片附件 -->
|
||||
<div class="image-attachments" v-if="msg.content.image_url && msg.content.image_url.length > 0">
|
||||
<div v-for="(img, index) in msg.content.image_url" :key="index" class="image-attachment">
|
||||
<img :src="img" class="attached-image" @click="$emit('openImagePreview', img)" />
|
||||
<!-- 遍历 message parts -->
|
||||
<template v-for="(part, partIndex) in msg.content.message" :key="partIndex">
|
||||
<!-- 引用消息 -->
|
||||
<div v-if="part.type === 'reply'" class="reply-quote"
|
||||
@click="scrollToMessage(part.message_id)">
|
||||
<v-icon size="small" class="reply-quote-icon">mdi-reply</v-icon>
|
||||
<span class="reply-quote-text">{{ getReplyContent(part.message_id) }}</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- 音频附件 -->
|
||||
<div class="audio-attachment" v-if="msg.content.audio_url && msg.content.audio_url.length > 0">
|
||||
<audio controls class="audio-player">
|
||||
<source :src="msg.content.audio_url" type="audio/wav">
|
||||
{{ t('messages.errors.browser.audioNotSupported') }}
|
||||
</audio>
|
||||
</div>
|
||||
<!-- 纯文本 -->
|
||||
<pre v-else-if="part.type === 'plain' && part.text"
|
||||
style="font-family: inherit; white-space: pre-wrap; word-wrap: break-word;">{{ part.text }}</pre>
|
||||
|
||||
<!-- 文件附件 -->
|
||||
<div class="file-attachments" v-if="msg.content.file_url && msg.content.file_url.length > 0">
|
||||
<div v-for="(file, fileIdx) in msg.content.file_url" :key="fileIdx" class="file-attachment">
|
||||
<a v-if="file.url" :href="file.url" :download="file.filename" class="file-link">
|
||||
<v-icon size="small" class="file-icon">mdi-file-document-outline</v-icon>
|
||||
<span class="file-name">{{ file.filename }}</span>
|
||||
</a>
|
||||
<a v-else @click="downloadFile(file)" class="file-link file-link-download">
|
||||
<v-icon size="small" class="file-icon">mdi-file-document-outline</v-icon>
|
||||
<span class="file-name">{{ file.filename }}</span>
|
||||
<v-icon v-if="downloadingFiles.has(file.attachment_id)" size="small" class="download-icon">mdi-loading mdi-spin</v-icon>
|
||||
<v-icon v-else size="small" class="download-icon">mdi-download</v-icon>
|
||||
</a>
|
||||
<!-- 图片附件 -->
|
||||
<div v-else-if="part.type === 'image' && part.embedded_url" class="image-attachments">
|
||||
<div class="image-attachment">
|
||||
<img :src="part.embedded_url" class="attached-image"
|
||||
@click="$emit('openImagePreview', part.embedded_url)" />
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- 音频附件 -->
|
||||
<div v-else-if="part.type === 'record' && part.embedded_url" class="audio-attachment">
|
||||
<audio controls class="audio-player">
|
||||
<source :src="part.embedded_url" type="audio/wav">
|
||||
{{ t('messages.errors.browser.audioNotSupported') }}
|
||||
</audio>
|
||||
</div>
|
||||
|
||||
<!-- 文件附件 -->
|
||||
<div v-else-if="part.type === 'file' && part.embedded_file" class="file-attachments">
|
||||
<div class="file-attachment">
|
||||
<a v-if="part.embedded_file.url" :href="part.embedded_file.url"
|
||||
:download="part.embedded_file.filename" class="file-link">
|
||||
<v-icon size="small" class="file-icon">mdi-file-document-outline</v-icon>
|
||||
<span class="file-name">{{ part.embedded_file.filename }}</span>
|
||||
</a>
|
||||
<a v-else @click="downloadFile(part.embedded_file)"
|
||||
class="file-link file-link-download">
|
||||
<v-icon size="small" class="file-icon">mdi-file-document-outline</v-icon>
|
||||
<span class="file-name">{{ part.embedded_file.filename }}</span>
|
||||
<v-icon v-if="downloadingFiles.has(part.embedded_file.attachment_id)"
|
||||
size="small" class="download-icon">mdi-loading mdi-spin</v-icon>
|
||||
<v-icon v-else size="small" class="download-icon">mdi-download</v-icon>
|
||||
</a>
|
||||
</div>
|
||||
</div>
|
||||
</template>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Bot Messages -->
|
||||
<div v-else class="bot-message">
|
||||
|
||||
<v-avatar class="bot-avatar" size="36">
|
||||
<v-progress-circular :index="index" v-if="isStreaming && index === messages.length - 1" indeterminate size="28"
|
||||
width="2"></v-progress-circular>
|
||||
<v-icon v-else-if="messages[index - 1]?.content.type !== 'bot'" size="64" color="#8fb6d2">mdi-star-four-points-small</v-icon>
|
||||
<v-progress-circular :index="index" v-if="isStreaming && index === messages.length - 1"
|
||||
indeterminate size="28" width="2"></v-progress-circular>
|
||||
<v-icon v-else-if="messages[index - 1]?.content.type !== 'bot'" size="64"
|
||||
color="#8fb6d2">mdi-star-four-points-small</v-icon>
|
||||
</v-avatar>
|
||||
<div class="bot-message-content">
|
||||
<div class="message-bubble bot-bubble">
|
||||
@@ -62,10 +72,11 @@
|
||||
<div v-if="msg.content.isLoading" class="loading-container">
|
||||
<span class="loading-text">{{ tm('message.loading') }}</span>
|
||||
</div>
|
||||
|
||||
|
||||
<template v-else>
|
||||
<!-- Reasoning Block (Collapsible) -->
|
||||
<div v-if="msg.content.reasoning && msg.content.reasoning.trim()" class="reasoning-container">
|
||||
<!-- Reasoning Block (Collapsible) - 放在最前面 -->
|
||||
<div v-if="msg.content.reasoning && msg.content.reasoning.trim()"
|
||||
class="reasoning-container">
|
||||
<div class="reasoning-header" @click="toggleReasoning(index)">
|
||||
<v-icon size="small" class="reasoning-icon">
|
||||
{{ isReasoningExpanded(index) ? 'mdi-chevron-down' : 'mdi-chevron-right' }}
|
||||
@@ -73,53 +84,138 @@
|
||||
<span class="reasoning-label">{{ tm('reasoning.thinking') }}</span>
|
||||
</div>
|
||||
<div v-if="isReasoningExpanded(index)" class="reasoning-content">
|
||||
<div v-html="md.render(msg.content.reasoning)" class="markdown-content reasoning-text"></div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Text -->
|
||||
<div v-if="msg.content.message && msg.content.message.trim()"
|
||||
v-html="md.render(msg.content.message)" class="markdown-content"></div>
|
||||
|
||||
<!-- Image -->
|
||||
<div class="embedded-images"
|
||||
v-if="msg.content.embedded_images && msg.content.embedded_images.length > 0">
|
||||
<div v-for="(img, imgIndex) in msg.content.embedded_images" :key="imgIndex"
|
||||
class="embedded-image">
|
||||
<img :src="img" class="bot-embedded-image"
|
||||
@click="$emit('openImagePreview', img)" />
|
||||
<div v-html="md.render(msg.content.reasoning)"
|
||||
class="markdown-content reasoning-text"></div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Audio -->
|
||||
<div class="embedded-audio" v-if="msg.content.embedded_audio">
|
||||
<audio controls class="audio-player">
|
||||
<source :src="msg.content.embedded_audio" type="audio/wav">
|
||||
{{ t('messages.errors.browser.audioNotSupported') }}
|
||||
</audio>
|
||||
</div>
|
||||
|
||||
<!-- Files -->
|
||||
<div class="embedded-files"
|
||||
v-if="msg.content.embedded_files && msg.content.embedded_files.length > 0">
|
||||
<div v-for="(file, fileIndex) in msg.content.embedded_files" :key="fileIndex"
|
||||
class="embedded-file">
|
||||
<a v-if="file.url" :href="file.url" :download="file.filename" class="file-link">
|
||||
<v-icon size="small" class="file-icon">mdi-file-document-outline</v-icon>
|
||||
<span class="file-name">{{ file.filename }}</span>
|
||||
</a>
|
||||
<a v-else @click="downloadFile(file)" class="file-link file-link-download">
|
||||
<v-icon size="small" class="file-icon">mdi-file-document-outline</v-icon>
|
||||
<span class="file-name">{{ file.filename }}</span>
|
||||
<v-icon v-if="downloadingFiles.has(file.attachment_id)" size="small" class="download-icon">mdi-loading mdi-spin</v-icon>
|
||||
<v-icon v-else size="small" class="download-icon">mdi-download</v-icon>
|
||||
</a>
|
||||
<!-- 遍历 message parts (保持顺序) -->
|
||||
<template v-for="(part, partIndex) in msg.content.message" :key="partIndex">
|
||||
<!-- Tool Calls Block -->
|
||||
<div v-if="part.type === 'tool_call' && part.tool_calls && part.tool_calls.length > 0"
|
||||
class="tool-calls-container">
|
||||
<div v-for="(toolCall, tcIndex) in part.tool_calls" :key="toolCall.id"
|
||||
class="tool-call-card">
|
||||
<div class="tool-call-header"
|
||||
@click="toggleToolCall(index, partIndex, tcIndex)">
|
||||
<v-icon size="small" class="tool-call-expand-icon">
|
||||
{{ isToolCallExpanded(index, partIndex, tcIndex) ?
|
||||
'mdi-chevron-down' : 'mdi-chevron-right' }}
|
||||
</v-icon>
|
||||
<v-icon size="small" class="tool-call-icon">mdi-wrench-outline</v-icon>
|
||||
<div class="tool-call-info">
|
||||
<span class="tool-call-name">{{ toolCall.name }}</span>
|
||||
</div>
|
||||
<span class="tool-call-status"
|
||||
:class="{ 'status-running': !toolCall.finished_ts, 'status-finished': toolCall.finished_ts }">
|
||||
<template v-if="toolCall.finished_ts">
|
||||
<v-icon size="x-small"
|
||||
class="status-icon">mdi-check-circle</v-icon>
|
||||
{{ formatDuration(toolCall.finished_ts - toolCall.ts) }}
|
||||
</template>
|
||||
<template v-else>
|
||||
<v-icon size="x-small"
|
||||
class="status-icon spinning">mdi-loading</v-icon>
|
||||
{{ getElapsedTime(toolCall.ts) }}
|
||||
</template>
|
||||
</span>
|
||||
</div>
|
||||
<div v-if="isToolCallExpanded(index, partIndex, tcIndex)"
|
||||
class="tool-call-details">
|
||||
<div class="tool-call-detail-row">
|
||||
<span class="detail-label">ID:</span>
|
||||
<code class="detail-value">{{ toolCall.id }}</code>
|
||||
</div>
|
||||
<div class="tool-call-detail-row">
|
||||
<span class="detail-label">Args:</span>
|
||||
<pre
|
||||
class="detail-value detail-json">{{ JSON.stringify(toolCall.args, null, 2) }}</pre>
|
||||
</div>
|
||||
<div v-if="toolCall.result" class="tool-call-detail-row">
|
||||
<span class="detail-label">Result:</span>
|
||||
<pre
|
||||
class="detail-value detail-json detail-result">{{ formatToolResult(toolCall.result) }}</pre>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Text (Markdown) -->
|
||||
<div v-else-if="part.type === 'plain' && part.text && part.text.trim()"
|
||||
v-html="md.render(part.text)" class="markdown-content"></div>
|
||||
|
||||
<!-- Image -->
|
||||
<div v-else-if="part.type === 'image' && part.embedded_url" class="embedded-images">
|
||||
<div class="embedded-image">
|
||||
<img :src="part.embedded_url" class="bot-embedded-image"
|
||||
@click="$emit('openImagePreview', part.embedded_url)" />
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Audio -->
|
||||
<div v-else-if="part.type === 'record' && part.embedded_url" class="embedded-audio">
|
||||
<audio controls class="audio-player">
|
||||
<source :src="part.embedded_url" type="audio/wav">
|
||||
{{ t('messages.errors.browser.audioNotSupported') }}
|
||||
</audio>
|
||||
</div>
|
||||
|
||||
<!-- Files -->
|
||||
<div v-else-if="part.type === 'file' && part.embedded_file" class="embedded-files">
|
||||
<div class="embedded-file">
|
||||
<a v-if="part.embedded_file.url" :href="part.embedded_file.url"
|
||||
:download="part.embedded_file.filename" class="file-link">
|
||||
<v-icon size="small"
|
||||
class="file-icon">mdi-file-document-outline</v-icon>
|
||||
<span class="file-name">{{ part.embedded_file.filename }}</span>
|
||||
</a>
|
||||
<a v-else @click="downloadFile(part.embedded_file)"
|
||||
class="file-link file-link-download">
|
||||
<v-icon size="small"
|
||||
class="file-icon">mdi-file-document-outline</v-icon>
|
||||
<span class="file-name">{{ part.embedded_file.filename }}</span>
|
||||
<v-icon v-if="downloadingFiles.has(part.embedded_file.attachment_id)"
|
||||
size="small" class="download-icon">mdi-loading mdi-spin</v-icon>
|
||||
<v-icon v-else size="small" class="download-icon">mdi-download</v-icon>
|
||||
</a>
|
||||
</div>
|
||||
</div>
|
||||
</template>
|
||||
</template>
|
||||
</div>
|
||||
<div class="message-actions" v-if="!msg.content.isLoading || index === messages.length - 1">
|
||||
<span class="message-time" v-if="msg.created_at">{{ formatMessageTime(msg.created_at) }}</span>
|
||||
<span class="message-time" v-if="msg.created_at">{{ formatMessageTime(msg.created_at)
|
||||
}}</span>
|
||||
<!-- Agent Stats Menu -->
|
||||
<v-menu v-if="msg.content.agentStats" location="bottom" open-on-hover :close-on-content-click="false">
|
||||
<template v-slot:activator="{ props }">
|
||||
<v-icon v-bind="props" size="x-small" class="stats-info-icon">mdi-information-outline</v-icon>
|
||||
</template>
|
||||
<v-card class="stats-menu-card" variant="elevated" elevation="3">
|
||||
<v-card-text class="stats-menu-content">
|
||||
<div class="stats-menu-row">
|
||||
<span class="stats-menu-label">{{ tm('stats.inputTokens') }}</span>
|
||||
<span class="stats-menu-value">{{ getInputTokens(msg.content.agentStats.token_usage) }}</span>
|
||||
</div>
|
||||
<div class="stats-menu-row">
|
||||
<span class="stats-menu-label">{{ tm('stats.outputTokens') }}</span>
|
||||
<span class="stats-menu-value">{{ msg.content.agentStats.token_usage.output || 0 }}</span>
|
||||
</div>
|
||||
<div class="stats-menu-row" v-if="msg.content.agentStats.token_usage.input_cached > 0">
|
||||
<span class="stats-menu-label">{{ tm('stats.cachedTokens') }}</span>
|
||||
<span class="stats-menu-value">{{ msg.content.agentStats.token_usage.input_cached }}</span>
|
||||
</div>
|
||||
<div class="stats-menu-row" v-if="msg.content.agentStats.time_to_first_token > 0">
|
||||
<span class="stats-menu-label">{{ tm('stats.ttft') }}</span>
|
||||
<span class="stats-menu-value">{{ formatTTFT(msg.content.agentStats.time_to_first_token) }}</span>
|
||||
</div>
|
||||
<div class="stats-menu-row">
|
||||
<span class="stats-menu-label">{{ tm('stats.duration') }}</span>
|
||||
<span class="stats-menu-value">{{ formatAgentDuration(msg.content.agentStats) }}</span>
|
||||
</div>
|
||||
</v-card-text>
|
||||
</v-card>
|
||||
</v-menu>
|
||||
<v-btn :icon="getCopyIcon(index)" size="x-small" variant="text" class="copy-message-btn"
|
||||
:class="{ 'copy-success': isCopySuccess(index) }"
|
||||
@click="copyBotMessage(msg.content.message, index)" :title="t('core.common.copy')" />
|
||||
@@ -191,6 +287,9 @@ export default {
|
||||
scrollTimer: null,
|
||||
expandedReasoning: new Set(), // Track which reasoning blocks are expanded
|
||||
downloadingFiles: new Set(), // Track which files are being downloaded
|
||||
expandedToolCalls: new Set(), // Track which tool call cards are expanded
|
||||
elapsedTimeTimer: null, // Timer for updating elapsed time
|
||||
currentTime: Date.now() / 1000, // Current time for elapsed time calculation
|
||||
};
|
||||
},
|
||||
mounted() {
|
||||
@@ -198,6 +297,7 @@ export default {
|
||||
this.initImageClickEvents();
|
||||
this.addScrollListener();
|
||||
this.scrollToBottom();
|
||||
this.startElapsedTimeTimer();
|
||||
},
|
||||
updated() {
|
||||
this.initCodeCopyButtons();
|
||||
@@ -207,6 +307,12 @@ export default {
|
||||
}
|
||||
},
|
||||
methods: {
|
||||
// 检查 message 中是否有音频
|
||||
hasAudio(messageParts) {
|
||||
if (!Array.isArray(messageParts)) return false;
|
||||
return messageParts.some(part => part.type === 'record' && part.embedded_url);
|
||||
},
|
||||
|
||||
// 获取被引用消息的内容
|
||||
getReplyContent(messageId) {
|
||||
const replyMsg = this.messages.find(m => m.id === messageId);
|
||||
@@ -214,9 +320,7 @@ export default {
|
||||
return this.tm('reply.notFound');
|
||||
}
|
||||
let content = '';
|
||||
if (typeof replyMsg.content.message === 'string') {
|
||||
content = replyMsg.content.message;
|
||||
} else if (Array.isArray(replyMsg.content.message)) {
|
||||
if (Array.isArray(replyMsg.content.message)) {
|
||||
const textParts = replyMsg.content.message
|
||||
.filter(part => part.type === 'plain' && part.text)
|
||||
.map(part => part.text);
|
||||
@@ -233,7 +337,7 @@ export default {
|
||||
scrollToMessage(messageId) {
|
||||
const msgIndex = this.messages.findIndex(m => m.id === messageId);
|
||||
if (msgIndex === -1) return;
|
||||
|
||||
|
||||
const container = this.$refs.messageContainer;
|
||||
const messageItems = container?.querySelectorAll('.message-item');
|
||||
if (messageItems && messageItems[msgIndex]) {
|
||||
@@ -265,16 +369,16 @@ export default {
|
||||
// 下载文件
|
||||
async downloadFile(file) {
|
||||
if (!file.attachment_id) return;
|
||||
|
||||
|
||||
// 标记为下载中
|
||||
this.downloadingFiles.add(file.attachment_id);
|
||||
this.downloadingFiles = new Set(this.downloadingFiles);
|
||||
|
||||
|
||||
try {
|
||||
const response = await axios.get(`/api/chat/get_attachment?attachment_id=${file.attachment_id}`, {
|
||||
responseType: 'blob'
|
||||
});
|
||||
|
||||
|
||||
const url = URL.createObjectURL(response.data);
|
||||
const a = document.createElement('a');
|
||||
a.href = url;
|
||||
@@ -313,29 +417,29 @@ export default {
|
||||
},
|
||||
|
||||
// 复制bot消息到剪贴板
|
||||
copyBotMessage(message, messageIndex) {
|
||||
// 获取对应的消息对象
|
||||
const msgObj = this.messages[messageIndex].content;
|
||||
copyBotMessage(messageParts, messageIndex) {
|
||||
let textToCopy = '';
|
||||
|
||||
// 如果有文本消息,添加到复制内容中
|
||||
if (message && message.trim()) {
|
||||
// 移除HTML标签,获取纯文本
|
||||
const tempDiv = document.createElement('div');
|
||||
tempDiv.innerHTML = message;
|
||||
textToCopy = tempDiv.textContent || tempDiv.innerText || message;
|
||||
}
|
||||
if (Array.isArray(messageParts)) {
|
||||
// 提取所有文本内容
|
||||
const textContents = messageParts
|
||||
.filter(part => part.type === 'plain' && part.text)
|
||||
.map(part => part.text);
|
||||
textToCopy = textContents.join('\n');
|
||||
|
||||
// 如果有内嵌图片,添加说明
|
||||
if (msgObj && msgObj.embedded_images && msgObj.embedded_images.length > 0) {
|
||||
if (textToCopy) textToCopy += '\n\n';
|
||||
textToCopy += `[包含 ${msgObj.embedded_images.length} 张图片]`;
|
||||
}
|
||||
// 检查是否有图片
|
||||
const imageCount = messageParts.filter(part => part.type === 'image' && part.embedded_url).length;
|
||||
if (imageCount > 0) {
|
||||
if (textToCopy) textToCopy += '\n\n';
|
||||
textToCopy += `[包含 ${imageCount} 张图片]`;
|
||||
}
|
||||
|
||||
// 如果有内嵌音频,添加说明
|
||||
if (msgObj && msgObj.embedded_audio) {
|
||||
if (textToCopy) textToCopy += '\n\n';
|
||||
textToCopy += '[包含音频内容]';
|
||||
// 检查是否有音频
|
||||
const hasAudio = messageParts.some(part => part.type === 'record' && part.embedded_url);
|
||||
if (hasAudio) {
|
||||
if (textToCopy) textToCopy += '\n\n';
|
||||
textToCopy += '[包含音频内容]';
|
||||
}
|
||||
}
|
||||
|
||||
// 如果没有任何内容,使用默认文本
|
||||
@@ -487,26 +591,31 @@ export default {
|
||||
clearTimeout(this.scrollTimer);
|
||||
this.scrollTimer = null;
|
||||
}
|
||||
// 清理 elapsed time 计时器
|
||||
if (this.elapsedTimeTimer) {
|
||||
clearInterval(this.elapsedTimeTimer);
|
||||
this.elapsedTimeTimer = null;
|
||||
}
|
||||
},
|
||||
|
||||
// 格式化消息时间,支持别名显示
|
||||
formatMessageTime(dateStr) {
|
||||
if (!dateStr) return '';
|
||||
|
||||
|
||||
const date = new Date(dateStr);
|
||||
const now = new Date();
|
||||
|
||||
|
||||
// 获取本地时间的日期部分
|
||||
const dateDay = new Date(date.getFullYear(), date.getMonth(), date.getDate());
|
||||
const todayDay = new Date(now.getFullYear(), now.getMonth(), now.getDate());
|
||||
const yesterdayDay = new Date(todayDay);
|
||||
yesterdayDay.setDate(yesterdayDay.getDate() - 1);
|
||||
|
||||
|
||||
// 格式化时间 HH:MM
|
||||
const hours = date.getHours().toString().padStart(2, '0');
|
||||
const minutes = date.getMinutes().toString().padStart(2, '0');
|
||||
const timeStr = `${hours}:${minutes}`;
|
||||
|
||||
|
||||
// 判断是今天、昨天还是更早
|
||||
if (dateDay.getTime() === todayDay.getTime()) {
|
||||
return `${this.tm('time.today')} ${timeStr}`;
|
||||
@@ -518,6 +627,114 @@ export default {
|
||||
const day = date.getDate().toString().padStart(2, '0');
|
||||
return `${month}-${day} ${timeStr}`;
|
||||
}
|
||||
},
|
||||
|
||||
// Tool call related methods
|
||||
toggleToolCall(messageIndex, partIndex, toolCallIndex) {
|
||||
const key = `${messageIndex}-${partIndex}-${toolCallIndex}`;
|
||||
if (this.expandedToolCalls.has(key)) {
|
||||
this.expandedToolCalls.delete(key);
|
||||
} else {
|
||||
this.expandedToolCalls.add(key);
|
||||
}
|
||||
// Force reactivity
|
||||
this.expandedToolCalls = new Set(this.expandedToolCalls);
|
||||
},
|
||||
|
||||
isToolCallExpanded(messageIndex, partIndex, toolCallIndex) {
|
||||
return this.expandedToolCalls.has(`${messageIndex}-${partIndex}-${toolCallIndex}`);
|
||||
},
|
||||
|
||||
// Start timer for updating elapsed time
|
||||
startElapsedTimeTimer() {
|
||||
// Update every 12ms for sub-second precision, then every second after 1s
|
||||
let fastUpdateCount = 0;
|
||||
const fastUpdateInterval = 12;
|
||||
const slowUpdateInterval = 1000;
|
||||
|
||||
const updateTime = () => {
|
||||
this.currentTime = Date.now() / 1000;
|
||||
|
||||
// Check if there are any running tool calls
|
||||
const hasRunningToolCalls = this.messages.some(msg =>
|
||||
Array.isArray(msg.content.message) && msg.content.message.some(part =>
|
||||
part.type === 'tool_call' && part.tool_calls?.some(tc => !tc.finished_ts)
|
||||
)
|
||||
);
|
||||
|
||||
if (hasRunningToolCalls) {
|
||||
// Check if any running tool call is under 1 second
|
||||
const hasSubSecondToolCall = this.messages.some(msg =>
|
||||
Array.isArray(msg.content.message) && msg.content.message.some(part =>
|
||||
part.type === 'tool_call' && part.tool_calls?.some(tc =>
|
||||
!tc.finished_ts && (this.currentTime - tc.ts) < 1
|
||||
)
|
||||
)
|
||||
);
|
||||
|
||||
if (hasSubSecondToolCall) {
|
||||
fastUpdateCount++;
|
||||
this.elapsedTimeTimer = setTimeout(updateTime, fastUpdateInterval);
|
||||
} else {
|
||||
this.elapsedTimeTimer = setTimeout(updateTime, slowUpdateInterval);
|
||||
}
|
||||
} else {
|
||||
// No running tool calls, check again after 1 second
|
||||
this.elapsedTimeTimer = setTimeout(updateTime, slowUpdateInterval);
|
||||
}
|
||||
};
|
||||
|
||||
updateTime();
|
||||
},
|
||||
|
||||
// Get elapsed time string for a tool call
|
||||
getElapsedTime(startTs) {
|
||||
const elapsed = this.currentTime - startTs;
|
||||
return this.formatDuration(elapsed);
|
||||
},
|
||||
|
||||
// Format duration in seconds to human readable string
|
||||
formatDuration(seconds) {
|
||||
if (seconds < 1) {
|
||||
return `${Math.round(seconds * 1000)}ms`;
|
||||
} else if (seconds < 60) {
|
||||
return `${seconds.toFixed(1)}s`;
|
||||
} else {
|
||||
const minutes = Math.floor(seconds / 60);
|
||||
const secs = Math.round(seconds % 60);
|
||||
return `${minutes}m ${secs}s`;
|
||||
}
|
||||
},
|
||||
|
||||
// Format tool result for display
|
||||
formatToolResult(result) {
|
||||
if (!result) return '';
|
||||
// Try to parse as JSON for pretty formatting
|
||||
try {
|
||||
const parsed = JSON.parse(result);
|
||||
return JSON.stringify(parsed, null, 2);
|
||||
} catch {
|
||||
return result;
|
||||
}
|
||||
},
|
||||
|
||||
// Get input tokens (input_other + input_cached)
|
||||
getInputTokens(tokenUsage) {
|
||||
if (!tokenUsage) return 0;
|
||||
return (tokenUsage.input_other || 0) + (tokenUsage.input_cached || 0);
|
||||
},
|
||||
|
||||
// Format agent duration
|
||||
formatAgentDuration(agentStats) {
|
||||
if (!agentStats) return '';
|
||||
const duration = agentStats.end_time - agentStats.start_time;
|
||||
return this.formatDuration(duration);
|
||||
},
|
||||
|
||||
// Format time to first token
|
||||
formatTTFT(ttft) {
|
||||
if (!ttft || ttft <= 0) return '';
|
||||
return this.formatDuration(ttft);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -548,6 +765,22 @@ export default {
|
||||
min-height: 0;
|
||||
}
|
||||
|
||||
.message-bubble {
|
||||
padding: 2px 16px;
|
||||
border-radius: 12px;
|
||||
}
|
||||
|
||||
|
||||
@media (max-width: 768px) {
|
||||
.messages-container {
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
.message-bubble {
|
||||
padding: 2px 8px;
|
||||
}
|
||||
}
|
||||
|
||||
/* 消息列表样式 */
|
||||
.message-list {
|
||||
max-width: 900px;
|
||||
@@ -603,6 +836,19 @@ export default {
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
/* Agent Stats Info Icon */
|
||||
.stats-info-icon {
|
||||
margin-left: 6px;
|
||||
color: var(--v-theme-secondaryText);
|
||||
opacity: 0.6;
|
||||
cursor: pointer;
|
||||
transition: opacity 0.2s ease;
|
||||
}
|
||||
|
||||
.stats-info-icon:hover {
|
||||
opacity: 1;
|
||||
}
|
||||
|
||||
.bot-message:hover .message-actions {
|
||||
opacity: 1;
|
||||
}
|
||||
@@ -679,15 +925,12 @@ export default {
|
||||
0% {
|
||||
background-color: rgba(103, 58, 183, 0.3);
|
||||
}
|
||||
|
||||
100% {
|
||||
background-color: transparent;
|
||||
}
|
||||
}
|
||||
|
||||
.message-bubble {
|
||||
padding: 2px 16px;
|
||||
border-radius: 12px;
|
||||
}
|
||||
|
||||
.user-bubble {
|
||||
color: var(--v-theme-primaryText);
|
||||
@@ -911,6 +1154,175 @@ export default {
|
||||
.v-theme--dark .reasoning-text {
|
||||
opacity: 0.85;
|
||||
}
|
||||
|
||||
/* Tool Call Card Styles */
|
||||
.tool-calls-container {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 8px;
|
||||
margin-bottom: 12px;
|
||||
margin-top: 6px;
|
||||
}
|
||||
|
||||
.tool-call-card {
|
||||
border-radius: 8px;
|
||||
overflow: hidden;
|
||||
background-color: #eff3f6;
|
||||
margin: 8px 0px;
|
||||
}
|
||||
|
||||
.v-theme--dark .tool-call-card {
|
||||
background-color: rgba(40, 60, 100, 0.4);
|
||||
border-color: rgba(100, 140, 200, 0.4);
|
||||
}
|
||||
|
||||
.tool-call-header {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
padding: 10px 12px;
|
||||
cursor: pointer;
|
||||
user-select: none;
|
||||
transition: background-color 0.2s ease;
|
||||
gap: 8px;
|
||||
}
|
||||
|
||||
.tool-call-header:hover {
|
||||
background-color: rgba(169, 194, 219, 0.15);
|
||||
}
|
||||
|
||||
.v-theme--dark .tool-call-header:hover {
|
||||
background-color: rgba(100, 150, 200, 0.2);
|
||||
}
|
||||
|
||||
.tool-call-expand-icon {
|
||||
color: var(--v-theme-secondary);
|
||||
transition: transform 0.2s ease;
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.tool-call-icon {
|
||||
color: var(--v-theme-secondary);
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.tool-call-info {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 2px;
|
||||
flex: 1;
|
||||
min-width: 0;
|
||||
}
|
||||
|
||||
.tool-call-name {
|
||||
font-size: 13px;
|
||||
font-weight: 600;
|
||||
color: var(--v-theme-secondary);
|
||||
}
|
||||
|
||||
.tool-call-id {
|
||||
font-size: 11px;
|
||||
color: var(--v-theme-secondaryText);
|
||||
opacity: 0.7;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
.tool-call-status {
|
||||
margin-left: 8px;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 4px;
|
||||
font-size: 12px;
|
||||
font-weight: 500;
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.tool-call-status.status-running {
|
||||
color: #ff9800;
|
||||
}
|
||||
|
||||
.tool-call-status.status-finished {
|
||||
color: #4caf50;
|
||||
}
|
||||
|
||||
.tool-call-status .status-icon {
|
||||
font-size: 14px;
|
||||
}
|
||||
|
||||
.tool-call-status .status-icon.spinning {
|
||||
animation: spin 1s linear infinite;
|
||||
}
|
||||
|
||||
@keyframes spin {
|
||||
from {
|
||||
transform: rotate(0deg);
|
||||
}
|
||||
|
||||
to {
|
||||
transform: rotate(360deg);
|
||||
}
|
||||
}
|
||||
|
||||
.tool-call-details {
|
||||
padding: 12px;
|
||||
background-color: rgba(255, 255, 255, 0.5);
|
||||
animation: fadeIn 0.2s ease-in-out;
|
||||
}
|
||||
|
||||
.v-theme--dark .tool-call-details {
|
||||
border-top-color: rgba(100, 140, 200, 0.3);
|
||||
background-color: rgba(30, 45, 70, 0.5);
|
||||
}
|
||||
|
||||
.tool-call-detail-row {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
margin-bottom: 8px;
|
||||
}
|
||||
|
||||
.tool-call-detail-row:last-child {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
.detail-label {
|
||||
font-size: 11px;
|
||||
font-weight: 600;
|
||||
color: var(--v-theme-secondaryText);
|
||||
text-transform: uppercase;
|
||||
letter-spacing: 0.5px;
|
||||
margin-bottom: 4px;
|
||||
}
|
||||
|
||||
.detail-value {
|
||||
font-size: 12px;
|
||||
color: var(--v-theme-primaryText);
|
||||
background-color: transparent;
|
||||
padding: 4px 8px;
|
||||
border-radius: 4px;
|
||||
word-break: break-all;
|
||||
}
|
||||
|
||||
.detail-json {
|
||||
font-family: 'Fira Code', 'Consolas', monospace;
|
||||
white-space: pre-wrap;
|
||||
max-height: 200px;
|
||||
overflow-y: auto;
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
.detail-result {
|
||||
max-height: 300px;
|
||||
background-color: transparent;
|
||||
}
|
||||
|
||||
.v-theme--dark .detail-value {
|
||||
background-color: transparent;
|
||||
}
|
||||
|
||||
.v-theme--dark .detail-result {
|
||||
background-color: transparent;
|
||||
}
|
||||
</style>
|
||||
|
||||
<style>
|
||||
@@ -1135,9 +1547,12 @@ export default {
|
||||
}
|
||||
|
||||
@keyframes pulse {
|
||||
0%, 100% {
|
||||
|
||||
0%,
|
||||
100% {
|
||||
opacity: 0.6;
|
||||
}
|
||||
|
||||
50% {
|
||||
opacity: 1;
|
||||
}
|
||||
@@ -1166,4 +1581,36 @@ export default {
|
||||
.markdown-content th {
|
||||
background-color: var(--v-theme-containerBg);
|
||||
}
|
||||
|
||||
/* Stats Menu 样式 */
|
||||
.stats-menu-card {
|
||||
border-radius: 8px !important;
|
||||
min-width: 160px;
|
||||
}
|
||||
|
||||
.stats-menu-content {
|
||||
padding: 12px 16px !important;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 8px;
|
||||
}
|
||||
|
||||
.stats-menu-row {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
gap: 20px;
|
||||
}
|
||||
|
||||
.stats-menu-label {
|
||||
font-size: 13px;
|
||||
color: var(--v-theme-secondaryText);
|
||||
}
|
||||
|
||||
.stats-menu-value {
|
||||
font-size: 13px;
|
||||
font-weight: 600;
|
||||
font-family: 'Fira Code', 'Consolas', monospace;
|
||||
color: var(--v-theme-primaryText);
|
||||
}
|
||||
</style>
|
||||
|
||||
@@ -2,19 +2,29 @@ import { ref, reactive, type Ref } from 'vue';
|
||||
import axios from 'axios';
|
||||
import { useToast } from '@/utils/toast';
|
||||
|
||||
// 新格式消息部分的类型定义
|
||||
export interface MessagePart {
|
||||
type: 'plain' | 'image' | 'record' | 'file' | 'video' | 'reply';
|
||||
text?: string; // for plain
|
||||
attachment_id?: string; // for image, record, file, video
|
||||
filename?: string; // for file (filename from backend)
|
||||
message_id?: number; // for reply (PlatformSessionHistoryMessage.id)
|
||||
// 工具调用信息
|
||||
export interface ToolCall {
|
||||
id: string;
|
||||
name: string;
|
||||
args: Record<string, any>;
|
||||
ts: number; // 开始时间戳
|
||||
result?: string; // 工具调用结果
|
||||
finished_ts?: number; // 完成时间戳
|
||||
}
|
||||
|
||||
// 引用信息
|
||||
export interface ReplyInfo {
|
||||
messageId: number;
|
||||
messageContent: string;
|
||||
// Token 使用统计
|
||||
export interface TokenUsage {
|
||||
input_other: number;
|
||||
input_cached: number;
|
||||
output: number;
|
||||
}
|
||||
|
||||
// Agent 统计信息
|
||||
export interface AgentStats {
|
||||
token_usage: TokenUsage;
|
||||
start_time: number;
|
||||
end_time: number;
|
||||
time_to_first_token: number;
|
||||
}
|
||||
|
||||
// 文件信息结构
|
||||
@@ -24,24 +34,33 @@ export interface FileInfo {
|
||||
attachment_id?: string; // 用于按需下载
|
||||
}
|
||||
|
||||
// 引用消息信息
|
||||
export interface ReplyTo {
|
||||
message_id: number;
|
||||
message_content?: string; // 被引用消息的内容(解析后填充)
|
||||
// 消息部分的类型定义
|
||||
export interface MessagePart {
|
||||
type: 'plain' | 'image' | 'record' | 'file' | 'video' | 'reply' | 'tool_call';
|
||||
text?: string; // for plain
|
||||
attachment_id?: string; // for image, record, file, video
|
||||
filename?: string; // for file (filename from backend)
|
||||
message_id?: number; // for reply (PlatformSessionHistoryMessage.id)
|
||||
tool_calls?: ToolCall[]; // for tool_call
|
||||
// embedded fields - 加载后填充
|
||||
embedded_url?: string; // blob URL for image, record
|
||||
embedded_file?: FileInfo; // for file (保留 attachment_id 用于按需下载)
|
||||
reply_content?: string; // for reply - 被引用消息的内容
|
||||
}
|
||||
|
||||
// 引用信息 (用于发送消息时)
|
||||
export interface ReplyInfo {
|
||||
messageId: number;
|
||||
messageContent: string;
|
||||
}
|
||||
|
||||
// 简化的消息内容结构
|
||||
export interface MessageContent {
|
||||
type: string;
|
||||
message: string | MessagePart[]; // 支持旧格式(string)和新格式(MessagePart[])
|
||||
reasoning?: string;
|
||||
image_url?: string[];
|
||||
audio_url?: string;
|
||||
file_url?: FileInfo[];
|
||||
embedded_images?: string[];
|
||||
embedded_audio?: string;
|
||||
embedded_files?: FileInfo[];
|
||||
isLoading?: boolean;
|
||||
reply_to?: ReplyTo; // 引用的消息
|
||||
type: string; // 'user' | 'bot'
|
||||
message: MessagePart[]; // 消息部分列表 (保持顺序)
|
||||
reasoning?: string; // reasoning content (for bot)
|
||||
isLoading?: boolean; // loading state
|
||||
agentStats?: AgentStats; // agent 统计信息 (for bot)
|
||||
}
|
||||
|
||||
export interface Message {
|
||||
@@ -93,52 +112,64 @@ export function useMessages(
|
||||
}
|
||||
}
|
||||
|
||||
// 解析新格式消息为旧格式兼容的结构 (用于显示)
|
||||
// 解析消息内容,填充 embedded 字段 (保持原始顺序)
|
||||
async function parseMessageContent(content: any): Promise<void> {
|
||||
const message = content.message;
|
||||
|
||||
// 如果 message 是数组 (新格式)
|
||||
if (Array.isArray(message)) {
|
||||
let textParts: string[] = [];
|
||||
let imageUrls: string[] = [];
|
||||
let audioUrl: string | undefined;
|
||||
let fileInfos: FileInfo[] = [];
|
||||
let replyTo: ReplyTo | undefined;
|
||||
// 如果 message 是字符串 (旧格式),转换为数组格式
|
||||
if (typeof message === 'string') {
|
||||
const parts: MessagePart[] = [];
|
||||
let text = message;
|
||||
|
||||
// 处理旧格式的特殊标记
|
||||
if (text.startsWith('[IMAGE]')) {
|
||||
const img = text.replace('[IMAGE]', '');
|
||||
const imageUrl = await getMediaFile(img);
|
||||
parts.push({
|
||||
type: 'image',
|
||||
embedded_url: imageUrl
|
||||
});
|
||||
} else if (text.startsWith('[RECORD]')) {
|
||||
const audio = text.replace('[RECORD]', '');
|
||||
const audioUrl = await getMediaFile(audio);
|
||||
parts.push({
|
||||
type: 'record',
|
||||
embedded_url: audioUrl
|
||||
});
|
||||
} else if (text) {
|
||||
parts.push({
|
||||
type: 'plain',
|
||||
text: text
|
||||
});
|
||||
}
|
||||
|
||||
content.message = parts;
|
||||
return;
|
||||
}
|
||||
|
||||
// 如果 message 是数组 (新格式),遍历并填充 embedded 字段
|
||||
if (Array.isArray(message)) {
|
||||
for (const part of message as MessagePart[]) {
|
||||
if (part.type === 'plain' && part.text) {
|
||||
textParts.push(part.text);
|
||||
} else if (part.type === 'image' && part.attachment_id) {
|
||||
const url = await getAttachment(part.attachment_id);
|
||||
if (url) imageUrls.push(url);
|
||||
if (part.type === 'image' && part.attachment_id) {
|
||||
part.embedded_url = await getAttachment(part.attachment_id);
|
||||
} else if (part.type === 'record' && part.attachment_id) {
|
||||
audioUrl = await getAttachment(part.attachment_id);
|
||||
part.embedded_url = await getAttachment(part.attachment_id);
|
||||
} else if (part.type === 'file' && part.attachment_id) {
|
||||
// file 类型不预加载,保留 attachment_id 以便点击时下载
|
||||
fileInfos.push({
|
||||
part.embedded_file = {
|
||||
attachment_id: part.attachment_id,
|
||||
filename: part.filename || 'file'
|
||||
});
|
||||
} else if (part.type === 'reply' && part.message_id) {
|
||||
replyTo = { message_id: part.message_id };
|
||||
};
|
||||
}
|
||||
// video 类型可以后续扩展
|
||||
}
|
||||
|
||||
// 转换为旧格式兼容的结构
|
||||
content.message = textParts.join('\n');
|
||||
content.reply_to = replyTo;
|
||||
if (content.type === 'user') {
|
||||
content.image_url = imageUrls.length > 0 ? imageUrls : undefined;
|
||||
content.audio_url = audioUrl;
|
||||
content.file_url = fileInfos.length > 0 ? fileInfos : undefined;
|
||||
} else {
|
||||
content.embedded_images = imageUrls.length > 0 ? imageUrls : undefined;
|
||||
content.embedded_audio = audioUrl;
|
||||
content.embedded_files = fileInfos.length > 0 ? fileInfos : undefined;
|
||||
// plain, reply, tool_call, video 保持原样
|
||||
}
|
||||
}
|
||||
// 如果 message 是字符串 (旧格式),保持原有处理逻辑
|
||||
|
||||
// 处理 agent_stats (snake_case -> camelCase)
|
||||
if (content.agent_stats) {
|
||||
content.agentStats = content.agent_stats;
|
||||
delete content.agent_stats;
|
||||
}
|
||||
}
|
||||
|
||||
async function getSessionMessages(sessionId: string, router: any) {
|
||||
@@ -161,46 +192,10 @@ export function useMessages(
|
||||
}, 3000);
|
||||
}
|
||||
|
||||
// 处理历史消息中的媒体文件
|
||||
// 处理历史消息
|
||||
for (let i = 0; i < history.length; i++) {
|
||||
let content = history[i].content;
|
||||
|
||||
// 首先尝试解析新格式消息
|
||||
await parseMessageContent(content);
|
||||
|
||||
// 以下是旧格式的兼容处理 (message 是字符串的情况)
|
||||
if (typeof content.message === 'string') {
|
||||
if (content.message?.startsWith('[IMAGE]')) {
|
||||
let img = content.message.replace('[IMAGE]', '');
|
||||
const imageUrl = await getMediaFile(img);
|
||||
if (!content.embedded_images) {
|
||||
content.embedded_images = [];
|
||||
}
|
||||
content.embedded_images.push(imageUrl);
|
||||
content.message = '';
|
||||
}
|
||||
|
||||
if (content.message?.startsWith('[RECORD]')) {
|
||||
let audio = content.message.replace('[RECORD]', '');
|
||||
const audioUrl = await getMediaFile(audio);
|
||||
content.embedded_audio = audioUrl;
|
||||
content.message = '';
|
||||
}
|
||||
}
|
||||
|
||||
// 旧格式中的 image_url 和 audio_url 字段处理
|
||||
if (content.image_url && content.image_url.length > 0) {
|
||||
for (let j = 0; j < content.image_url.length; j++) {
|
||||
// 检查是否已经是 blob URL (新格式解析后的结果)
|
||||
if (!content.image_url[j].startsWith('blob:')) {
|
||||
content.image_url[j] = await getMediaFile(content.image_url[j]);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (content.audio_url && !content.audio_url.startsWith('blob:')) {
|
||||
content.audio_url = await getMediaFile(content.audio_url);
|
||||
}
|
||||
}
|
||||
|
||||
messages.value = history;
|
||||
@@ -217,47 +212,66 @@ export function useMessages(
|
||||
selectedModelName: string,
|
||||
replyTo: ReplyInfo | null = null
|
||||
) {
|
||||
// Create user message
|
||||
// 构建用户消息的 message 部分
|
||||
const userMessageParts: MessagePart[] = [];
|
||||
|
||||
// 添加引用消息段
|
||||
if (replyTo) {
|
||||
userMessageParts.push({
|
||||
type: 'reply',
|
||||
message_id: replyTo.messageId,
|
||||
reply_content: replyTo.messageContent
|
||||
});
|
||||
}
|
||||
|
||||
// 添加纯文本消息段
|
||||
if (prompt) {
|
||||
userMessageParts.push({
|
||||
type: 'plain',
|
||||
text: prompt
|
||||
});
|
||||
}
|
||||
|
||||
// 添加文件消息段
|
||||
for (const f of stagedFiles) {
|
||||
const partType = f.type === 'image' ? 'image' :
|
||||
f.type === 'record' ? 'record' : 'file';
|
||||
|
||||
// 获取嵌入 URL
|
||||
const embeddedUrl = await getAttachment(f.attachment_id);
|
||||
|
||||
userMessageParts.push({
|
||||
type: partType as 'image' | 'record' | 'file',
|
||||
attachment_id: f.attachment_id,
|
||||
filename: f.original_name,
|
||||
embedded_url: partType !== 'file' ? embeddedUrl : undefined,
|
||||
embedded_file: partType === 'file' ? {
|
||||
attachment_id: f.attachment_id,
|
||||
filename: f.original_name
|
||||
} : undefined
|
||||
});
|
||||
}
|
||||
|
||||
// 添加录音(如果有)
|
||||
if (audioName) {
|
||||
userMessageParts.push({
|
||||
type: 'record',
|
||||
embedded_url: audioName // 录音使用本地 URL
|
||||
});
|
||||
}
|
||||
|
||||
// 创建用户消息
|
||||
const userMessage: MessageContent = {
|
||||
type: 'user',
|
||||
message: prompt,
|
||||
image_url: [],
|
||||
audio_url: undefined,
|
||||
file_url: [],
|
||||
reply_to: replyTo ? { message_id: replyTo.messageId } : undefined
|
||||
message: userMessageParts
|
||||
};
|
||||
|
||||
// 分离图片和文件
|
||||
const imageFiles = stagedFiles.filter(f => f.type === 'image');
|
||||
const nonImageFiles = stagedFiles.filter(f => f.type !== 'image');
|
||||
|
||||
// 使用 attachment_id 获取图片内容(避免 blob URL 被 revoke 后 404)
|
||||
if (imageFiles.length > 0) {
|
||||
const imageUrls = await Promise.all(
|
||||
imageFiles.map(f => getAttachment(f.attachment_id))
|
||||
);
|
||||
userMessage.image_url = imageUrls.filter(url => url !== '');
|
||||
}
|
||||
|
||||
// 使用 blob URL 作为音频预览(录音不走 attachment)
|
||||
if (audioName) {
|
||||
userMessage.audio_url = audioName;
|
||||
}
|
||||
|
||||
// 文件不预加载,只显示文件名和 attachment_id
|
||||
if (nonImageFiles.length > 0) {
|
||||
userMessage.file_url = nonImageFiles.map(f => ({
|
||||
filename: f.original_name,
|
||||
attachment_id: f.attachment_id
|
||||
}));
|
||||
}
|
||||
|
||||
messages.value.push({ content: userMessage });
|
||||
|
||||
// 添加一个加载中的机器人消息占位符
|
||||
const loadingMessage = reactive({
|
||||
const loadingMessage = reactive<MessageContent>({
|
||||
type: 'bot',
|
||||
message: '',
|
||||
message: [],
|
||||
reasoning: '',
|
||||
isLoading: true
|
||||
});
|
||||
@@ -272,12 +286,11 @@ export function useMessages(
|
||||
// 收集所有 attachment_id
|
||||
const files = stagedFiles.map(f => f.attachment_id);
|
||||
|
||||
// 构建 message 参数
|
||||
// 当 files 或 reply 存在时,message 是 list,否则是 str
|
||||
// 构建发送给后端的 message 参数
|
||||
let messageToSend: string | MessagePart[];
|
||||
if (files.length > 0 || replyTo) {
|
||||
const parts: MessagePart[] = [];
|
||||
|
||||
|
||||
// 添加引用消息段
|
||||
if (replyTo) {
|
||||
parts.push({
|
||||
@@ -285,7 +298,7 @@ export function useMessages(
|
||||
message_id: replyTo.messageId
|
||||
});
|
||||
}
|
||||
|
||||
|
||||
// 添加纯文本消息段
|
||||
if (prompt) {
|
||||
parts.push({
|
||||
@@ -293,17 +306,17 @@ export function useMessages(
|
||||
text: prompt
|
||||
});
|
||||
}
|
||||
|
||||
|
||||
// 添加文件消息段
|
||||
for (const f of stagedFiles) {
|
||||
const partType = f.type === 'image' ? 'image' :
|
||||
f.type === 'record' ? 'record' : 'file';
|
||||
const partType = f.type === 'image' ? 'image' :
|
||||
f.type === 'record' ? 'record' : 'file';
|
||||
parts.push({
|
||||
type: partType as 'image' | 'record' | 'file',
|
||||
attachment_id: f.attachment_id
|
||||
});
|
||||
}
|
||||
|
||||
|
||||
messageToSend = parts;
|
||||
} else {
|
||||
messageToSend = prompt;
|
||||
@@ -331,7 +344,7 @@ export function useMessages(
|
||||
const reader = response.body!.getReader();
|
||||
const decoder = new TextDecoder();
|
||||
let in_streaming = false;
|
||||
let message_obj: any = null;
|
||||
let message_obj: MessageContent | null = null;
|
||||
|
||||
isStreaming.value = true;
|
||||
|
||||
@@ -378,8 +391,10 @@ export function useMessages(
|
||||
const imageUrl = await getMediaFile(img);
|
||||
let bot_resp: MessageContent = {
|
||||
type: 'bot',
|
||||
message: '',
|
||||
embedded_images: [imageUrl]
|
||||
message: [{
|
||||
type: 'image',
|
||||
embedded_url: imageUrl
|
||||
}]
|
||||
};
|
||||
messages.value.push({ content: bot_resp });
|
||||
} else if (chunk_json.type === 'record') {
|
||||
@@ -387,43 +402,122 @@ export function useMessages(
|
||||
const audioUrl = await getMediaFile(audio);
|
||||
let bot_resp: MessageContent = {
|
||||
type: 'bot',
|
||||
message: '',
|
||||
embedded_audio: audioUrl
|
||||
message: [{
|
||||
type: 'record',
|
||||
embedded_url: audioUrl
|
||||
}]
|
||||
};
|
||||
messages.value.push({ content: bot_resp });
|
||||
} else if (chunk_json.type === 'file') {
|
||||
// 格式: [FILE]filename|original_name
|
||||
let fileData = chunk_json.data.replace('[FILE]', '');
|
||||
let [filename, originalName] = fileData.includes('|')
|
||||
? fileData.split('|', 2)
|
||||
let [filename, originalName] = fileData.includes('|')
|
||||
? fileData.split('|', 2)
|
||||
: [fileData, fileData];
|
||||
const fileUrl = await getMediaFile(filename);
|
||||
let bot_resp: MessageContent = {
|
||||
type: 'bot',
|
||||
message: '',
|
||||
embedded_files: [{
|
||||
url: fileUrl,
|
||||
filename: originalName
|
||||
message: [{
|
||||
type: 'file',
|
||||
embedded_file: {
|
||||
url: fileUrl,
|
||||
filename: originalName
|
||||
}
|
||||
}]
|
||||
};
|
||||
messages.value.push({ content: bot_resp });
|
||||
} else if (chunk_json.type === 'plain') {
|
||||
const chain_type = chunk_json.chain_type || 'normal';
|
||||
|
||||
if (!in_streaming) {
|
||||
message_obj = reactive({
|
||||
type: 'bot',
|
||||
message: chain_type === 'reasoning' ? '' : chunk_json.data,
|
||||
reasoning: chain_type === 'reasoning' ? chunk_json.data : '',
|
||||
});
|
||||
messages.value.push({ content: message_obj });
|
||||
in_streaming = true;
|
||||
} else {
|
||||
if (chain_type === 'reasoning') {
|
||||
// 使用 reactive 对象,直接修改属性会触发响应式更新
|
||||
message_obj.reasoning = (message_obj.reasoning || '') + chunk_json.data;
|
||||
if (chain_type === 'tool_call') {
|
||||
// 解析工具调用数据
|
||||
const toolCallData = JSON.parse(chunk_json.data);
|
||||
const toolCall: ToolCall = {
|
||||
id: toolCallData.id,
|
||||
name: toolCallData.name,
|
||||
args: toolCallData.args,
|
||||
ts: toolCallData.ts
|
||||
};
|
||||
|
||||
if (!in_streaming) {
|
||||
message_obj = reactive<MessageContent>({
|
||||
type: 'bot',
|
||||
message: [{
|
||||
type: 'tool_call',
|
||||
tool_calls: [toolCall]
|
||||
}]
|
||||
});
|
||||
messages.value.push({ content: message_obj });
|
||||
in_streaming = true;
|
||||
} else {
|
||||
message_obj.message = (message_obj.message || '') + chunk_json.data;
|
||||
// 找到最后一个 tool_call part 或创建新的
|
||||
const lastPart = message_obj!.message[message_obj!.message.length - 1];
|
||||
if (lastPart?.type === 'tool_call') {
|
||||
// 检查是否已存在相同id的tool_call
|
||||
const existingIndex = lastPart.tool_calls!.findIndex((tc: ToolCall) => tc.id === toolCall.id);
|
||||
if (existingIndex === -1) {
|
||||
lastPart.tool_calls!.push(toolCall);
|
||||
}
|
||||
} else {
|
||||
// 添加新的 tool_call part
|
||||
message_obj!.message.push({
|
||||
type: 'tool_call',
|
||||
tool_calls: [toolCall]
|
||||
});
|
||||
}
|
||||
}
|
||||
} else if (chain_type === 'tool_call_result') {
|
||||
// 解析工具调用结果数据
|
||||
const resultData = JSON.parse(chunk_json.data);
|
||||
|
||||
if (message_obj) {
|
||||
// 遍历所有 tool_call parts 找到对应的 tool_call
|
||||
for (const part of message_obj.message) {
|
||||
if (part.type === 'tool_call' && part.tool_calls) {
|
||||
const toolCall = part.tool_calls.find((tc: ToolCall) => tc.id === resultData.id);
|
||||
if (toolCall) {
|
||||
toolCall.result = resultData.result;
|
||||
toolCall.finished_ts = resultData.ts;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
} else if (chain_type === 'reasoning') {
|
||||
if (!in_streaming) {
|
||||
message_obj = reactive<MessageContent>({
|
||||
type: 'bot',
|
||||
message: [],
|
||||
reasoning: chunk_json.data
|
||||
});
|
||||
messages.value.push({ content: message_obj });
|
||||
in_streaming = true;
|
||||
} else {
|
||||
message_obj!.reasoning = (message_obj!.reasoning || '') + chunk_json.data;
|
||||
}
|
||||
} else {
|
||||
// normal text
|
||||
if (!in_streaming) {
|
||||
message_obj = reactive<MessageContent>({
|
||||
type: 'bot',
|
||||
message: [{
|
||||
type: 'plain',
|
||||
text: chunk_json.data
|
||||
}]
|
||||
});
|
||||
messages.value.push({ content: message_obj });
|
||||
in_streaming = true;
|
||||
} else {
|
||||
// 找到最后一个 plain part 或创建新的
|
||||
const lastPart = message_obj!.message[message_obj!.message.length - 1];
|
||||
if (lastPart?.type === 'plain') {
|
||||
lastPart.text = (lastPart.text || '') + chunk_json.data;
|
||||
} else {
|
||||
message_obj!.message.push({
|
||||
type: 'plain',
|
||||
text: chunk_json.data
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
} else if (chunk_json.type === 'update_title') {
|
||||
@@ -435,6 +529,11 @@ export function useMessages(
|
||||
lastBotMsg.id = chunk_json.data.id;
|
||||
lastBotMsg.created_at = chunk_json.data.created_at;
|
||||
}
|
||||
} else if (chunk_json.type === 'agent_stats') {
|
||||
// 更新当前 bot 消息的 agent 统计信息
|
||||
if (message_obj) {
|
||||
message_obj.agentStats = chunk_json.data;
|
||||
}
|
||||
}
|
||||
|
||||
if ((chunk_json.type === 'break' && chunk_json.streaming) || !chunk_json.streaming) {
|
||||
@@ -480,4 +579,3 @@ export function useMessages(
|
||||
getAttachment
|
||||
};
|
||||
}
|
||||
|
||||
|
||||
@@ -80,6 +80,14 @@
|
||||
"today": "Today",
|
||||
"yesterday": "Yesterday"
|
||||
},
|
||||
"stats": {
|
||||
"tokens": "Tokens",
|
||||
"inputTokens": "Input Tokens",
|
||||
"outputTokens": "Output Tokens",
|
||||
"cachedTokens": "Cached Tokens",
|
||||
"duration": "Duration",
|
||||
"ttft": "Time to First Token"
|
||||
},
|
||||
"connection": {
|
||||
"title": "Connection Status Notice",
|
||||
"message": "The system detected that the chat connection needs to be re-established.",
|
||||
|
||||
@@ -80,6 +80,14 @@
|
||||
"today": "今天",
|
||||
"yesterday": "昨天"
|
||||
},
|
||||
"stats": {
|
||||
"tokens": "Token",
|
||||
"inputTokens": "输入 Token",
|
||||
"outputTokens": "输出 Token",
|
||||
"cachedTokens": "缓存 Token",
|
||||
"duration": "耗时",
|
||||
"ttft": "首字时间"
|
||||
},
|
||||
"connection": {
|
||||
"title": "连接状态提醒",
|
||||
"message": "系统检测到聊天连接需要重新建立。",
|
||||
|
||||
Reference in New Issue
Block a user