mirror of
https://github.com/bytedance/deer-flow.git
synced 2026-07-28 00:48:07 +00:00
795af20a6b
* feat(memory): integrate FTS5 retrieval adapter * deps: add jieba as default dependency for Chinese tokenization Without jieba, FTS5 unicode61 tokenizer treats entire Chinese sentences as single tokens, making single-character or sub-phrase searches impossible (e.g. '吃' or '油泼面' returns 0 hits against '用户喜欢吃油泼面'). jieba segments Chinese text into meaningful tokens before indexing. * fix(memory): avoid treating hyphens as FTS5 operators * feat(memory): make Chinese tokenization optional * fix(memory): warm every requested retrieval scope * fix(memory): close retrieval resources on shutdown * fix(memory): close backend when shutdown flush fails * fix(memory): recreate corrupt retrieval index * fix(memory): tolerate partial retrieval rebuilds * fix(memory): warm retrieval index in background * fix(memory): preserve shutdown flush budget * fix(memory): stop retrying partial lazy rebuilds * fix(memory): close retrieval through storage * refactor(memory): simplify retrieval scope limit * docs(memory): clarify retrieval shutdown lifecycle --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
83 lines
3.0 KiB
TOML
83 lines
3.0 KiB
TOML
[project]
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name = "deer-flow"
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version = "2.1.0"
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description = "LangGraph-based AI agent system with sandbox execution capabilities"
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readme = "README.md"
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requires-python = ">=3.12"
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dependencies = [
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"deerflow-harness",
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"fastapi>=0.115.0",
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"httpx>=0.28.0",
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"python-multipart>=0.0.31",
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"sse-starlette>=2.1.0",
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"uvicorn[standard]>=0.34.0",
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"lark-oapi>=1.4.0",
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"slack-sdk>=3.33.0",
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"python-telegram-bot>=21.0",
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"langgraph-sdk>=0.1.51",
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"markdown-to-mrkdwn>=0.3.1",
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"wecom-aibot-python-sdk>=0.1.6",
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"dingtalk-stream>=0.24.3",
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"bcrypt>=4.0.0",
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"pyjwt>=2.13.0",
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"email-validator>=2.0.0",
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"e2b-code-interpreter>=2.8.1",
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]
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[project.optional-dependencies]
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postgres = ["deerflow-harness[postgres]"]
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redis = ["deerflow-harness[redis]"]
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discord = ["discord.py>=2.7.0"]
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monocle = ["deerflow-harness[monocle]"]
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browser = ["deerflow-harness[browser]"]
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memory-zh = ["deerflow-harness[memory-zh]"]
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[dependency-groups]
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dev = [
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"blockbuster>=1.5.26,<1.6",
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"hypothesis>=6.100,<7",
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"jsonschema>=4.26.0",
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"prompt-toolkit>=3.0.0",
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"pytest>=9.0.3",
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"pytest-asyncio>=1.3.0",
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"ruff>=0.14.11",
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# Monocle tracer (also the deerflow-harness[monocle] extra); kept in the dev
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# group so the tracing tests can import it without forcing it onto installs.
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"monocle_apptrace>=0.8.8",
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# redis is an optional runtime extra (deerflow-harness[redis]); pin it in the
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# dev group so the stream-bridge tests can always import/exercise the redis
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# bridge without forcing it onto production installs.
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"redis>=5.0.0",
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# TUI runtime dep (also declared as the deerflow-harness[tui] extra); kept in
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# the dev group so the terminal workbench can be run and tested locally / in CI.
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"textual>=0.80",
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]
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[tool.pytest.ini_options]
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markers = [
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"no_auto_user: disable the conftest autouse contextvar fixture for this test",
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"allow_blocking_io: opt out of the strict Blockbuster gate in tests/blocking_io/",
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"integration: tests that require an external service (e.g. Redis); skipped when unavailable",
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]
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[tool.uv]
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index-url = "https://pypi.org/simple"
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# langgraph-sdk 0.4.2 (pulled in by langgraph 1.2.9 for DeltaChannel) pins
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# `websockets<16,>=14`, silently downgrading websockets 16.0 -> 15.0.1. The
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# pin is not grounded in any API incompatibility: websockets 16's only
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# breaking change is requiring Python >=3.10 (we require >=3.12), the sdk
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# only imports `websockets.asyncio.client`/`websockets.exceptions` (both
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# 16-compatible), and DeerFlow never uses the sdk's WebSocket transport
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# (httpx/SSE only). Pin the exact pre-upgrade 16.0 for the IM channel
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# integrations (dingtalk-stream, python-telegram-bot, etc.) that ran on it
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# before. Remove once langgraph-sdk relaxes the pin upstream. Note: enabling
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# the `openai[realtime]` or `slack-sdk[optional]` extras would conflict (they
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# also cap websockets<16).
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override-dependencies = ["websockets==16.0"]
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[tool.uv.workspace]
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members = ["packages/harness"]
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[tool.uv.sources]
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deerflow-harness = { workspace = true }
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