46 lines
1.7 KiB
Python
46 lines
1.7 KiB
Python
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from __future__ import annotations
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from typing import Any
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PROMPT_PREFIXES = {
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"wecom": "你是一个企业微信 AI 助手，通过企业微信与用户沟通。请保持专业、简洁，使用中文回复。",
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"mp": "你是一个微信公众号 AI 助手，通过公众号消息与用户沟通。请保持友好、专业，使用中文回复。",
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"personal": "你是一个微信 AI 助手，通过个人微信与用户沟通。请保持自然、亲切，使用中文回复。",
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}
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class WeChatAgentPromptAdapter:
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def __init__(self):
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self._custom_prefix: str | None = None
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self._enabled: bool = True
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def configure(self, config: dict[str, Any], mode: str = "wecom") -> None:
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self._enabled = config.get("agent_prompt", {}).get("enabled", True)
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self._custom_prefix = config.get("agent_prompt", {}).get("prefix")
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if not self._custom_prefix:
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self._custom_prefix = PROMPT_PREFIXES.get(mode, "")
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def get_channel_prefix(self, config: dict[str, Any], mode: str = "wecom") -> str:
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if not self._enabled:
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return ""
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if self._custom_prefix:
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return self._custom_prefix
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return PROMPT_PREFIXES.get(mode, "")
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@staticmethod
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def inject_prompt(base_prompt: str, channel_prefix: str) -> str:
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if not channel_prefix:
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return base_prompt
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return f"{channel_prefix}\n\n{base_prompt}"
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@staticmethod
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def strip_channel_prefix(prompt: str, mode: str = "wecom") -> str:
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prefix = PROMPT_PREFIXES.get(mode, "")
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if prefix and prompt.startswith(prefix):
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return prompt[len(prefix) :].strip()
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return prompt
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def is_enabled(self) -> bool:
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return self._enabled
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