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https://github.com/bytedance/deer-flow.git
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Merge remote-tracking branch 'origin/main' into codex/im-channel-connections
# Conflicts: # backend/app/gateway/services.py # frontend/src/app/workspace/chats/page.tsx
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@@ -67,11 +67,13 @@ def resolve_agent_dir(name: str, *, user_id: str | None = None) -> Path:
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paths = get_paths()
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effective_user = user_id or get_effective_user_id()
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user_path = paths.user_agent_dir(effective_user, name)
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if user_path.exists():
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# Require config.yaml to confirm this is a genuine agent directory,
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# not a leftover from memory/storage writes (see #3390).
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if user_path.exists() and (user_path / "config.yaml").exists():
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return user_path
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legacy_path = paths.agent_dir(name)
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if legacy_path.exists():
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if legacy_path.exists() and (legacy_path / "config.yaml").exists():
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return legacy_path
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return user_path
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@@ -1,5 +1,7 @@
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"""Configuration for memory mechanism."""
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from typing import Literal
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from pydantic import BaseModel, Field
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@@ -60,6 +62,17 @@ class MemoryConfig(BaseModel):
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le=8000,
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description="Maximum tokens to use for memory injection",
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)
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token_counting: Literal["tiktoken", "char"] = Field(
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default="tiktoken",
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description=(
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"Token counting strategy for memory-injection budgeting. "
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"'tiktoken' is accurate but the encoding's BPE data may be "
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"downloaded from a public network endpoint on first use, which "
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"can block for a long time in network-restricted environments "
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"(see issue #3402/#3429). 'char' uses a network-free "
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"CJK-aware character-based estimate and never touches tiktoken."
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),
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)
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# Global configuration instance
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