50144ddcae
* refactor: llm message schema * feat: implement MCPTool and local LLM tools with enhanced context handling * refactor: reorganize imports and enhance docstrings for clarity * refactor: enhance ContentPart validation and add message pair handling in ConversationManager * chore: ruff format * refactor: remove debug print statement from payloads in ProviderOpenAIOfficial * Update astrbot/core/agent/tool.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update astrbot/core/agent/message.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update astrbot/core/agent/message.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update astrbot/core/agent/tool.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update astrbot/core/pipeline/process_stage/method/llm_request.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update astrbot/core/agent/message.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * refactor: enhance documentation and import mcp in tool.py; update call method return type * fix: 修复以数据类的方式注册 tool 时的插件重载机制问题 * refactor: change role attributes to use Literal types for message segments * fix: add support for 'decorator_handler' method in call_local_llm_tool * fix: handle None prompt in text_chat method and ensure context is properly formatted --------- Co-authored-by: LIghtJUNction <lightjunction.me@gmail.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
19 lines
572 B
Python
19 lines
572 B
Python
from dataclasses import dataclass
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from astrbot.core.config import AstrBotConfig
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from astrbot.core.star import PluginManager
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from .context_utils import call_event_hook, call_handler, call_local_llm_tool
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@dataclass
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class PipelineContext:
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"""上下文对象，包含管道执行所需的上下文信息"""
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astrbot_config: AstrBotConfig # AstrBot 配置对象
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plugin_manager: PluginManager # 插件管理器对象
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astrbot_config_id: str
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call_handler = call_handler
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call_event_hook = call_event_hook
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call_local_llm_tool = call_local_llm_tool
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