mirror of
https://github.com/bytedance/deer-flow.git
synced 2026-06-10 01:15:58 +00:00
DanielWalnut
16391e35ab
* support slash skill activation * format slash skill activation * Preserve slash skill activation with uploads * Address slash skill review feedback * Address slash skill follow-up review * Fix lazy slash skill storage resolution * Keep slash skill activation out of system prompt * Address slash skill review issues * fix: harden slash skill command handling * feat(frontend): add slash skill autocomplete * fix: address slash skill review feedback * fix: preserve slash skill text for IM uploads
32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
from __future__ import annotations
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from collections.abc import Mapping
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from typing import Any
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ORIGINAL_USER_CONTENT_KEY = "original_user_content"
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def message_content_to_text(content: Any) -> str:
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"""Extract text from LangChain message content shapes."""
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if isinstance(content, str):
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return content
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if isinstance(content, list):
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parts: list[str] = []
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for item in content:
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if isinstance(item, str):
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parts.append(item)
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elif isinstance(item, dict):
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text = item.get("text")
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if isinstance(text, str):
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parts.append(text)
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return "\n".join(part for part in parts if part)
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return str(content)
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def get_original_user_content_text(content: Any, additional_kwargs: Mapping[str, Any] | None) -> str:
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"""Return pre-middleware user text when available, otherwise content text."""
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original_content = (additional_kwargs or {}).get(ORIGINAL_USER_CONTENT_KEY)
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if isinstance(original_content, str):
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return original_content
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return message_content_to_text(content)
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