diff --git a/.claude/settings.json b/.claude/settings.json index e02ee52c..e6bc4a38 100644 --- a/.claude/settings.json +++ b/.claude/settings.json @@ -4,7 +4,8 @@ "PowerShell(uv --version)", "PowerShell(netstat -ano)", "PowerShell(Get-NetTCPConnection -LocalPort 8001 -ErrorAction SilentlyContinue)", - "PowerShell(Get-Process -Id 20560 -ErrorAction SilentlyContinue | Select-Object Id,ProcessName,Path,StartTime; try { \\(Invoke-WebRequest -Uri \"http://127.0.0.1:8001/health\" -UseBasicParsing -TimeoutSec 5\\).Content } catch { \"health check failed: $_\" })" + "PowerShell(Get-Process -Id 20560 -ErrorAction SilentlyContinue | Select-Object Id,ProcessName,Path,StartTime; try { \\(Invoke-WebRequest -Uri \"http://127.0.0.1:8001/health\" -UseBasicParsing -TimeoutSec 5\\).Content } catch { \"health check failed: $_\" })", + "Bash(curl -s -X POST -H \"Content-Type: application/json\" -d '{\"username\":\"demo\"}' http://localhost:8001/api/v1/auth/login/username)" ] } } diff --git a/offline-backend-20260512/.env b/offline-backend-20260512/.env index 91938f1e..ca19078c 100644 --- a/offline-backend-20260512/.env +++ b/offline-backend-20260512/.env @@ -17,7 +17,7 @@ SERPER_API_KEY=your-serper-api-key # AUTH_JWT_SECRET must stay stable across restarts, or existing logins expire. # GATEWAY_CORS_ORIGINS must include the exact frontend origins, separated by commas. AUTH_JWT_SECRET=i3_BiBK44sYHiFIkChhDs46y57ZewJKO3diQDw01anI -GATEWAY_CORS_ORIGINS=http://localhost:5173,http://127.0.0.1:5173,http://localhost:5174,http://127.0.0.1:5174,http://localhost:4200 +GATEWAY_CORS_ORIGINS=http://localhost:5173,http://127.0.0.1:5173,http://localhost:5183,http://localhost:5174,http://127.0.0.1:5174,http://localhost:4200 GATEWAY_CORS_ALLOW_ALL=0 GATEWAY_ENABLE_DOCS=true GATEWAY_WORKERS=2 diff --git a/offline-backend-20260512/backend/_reqs.txt b/offline-backend-20260512/backend/_reqs.txt new file mode 100644 index 00000000..2bd4a9cf --- /dev/null +++ b/offline-backend-20260512/backend/_reqs.txt @@ -0,0 +1,760 @@ +# This file was autogenerated by uv via the following command: +# uv export --no-hashes --no-emit-project --no-dev -o _reqs.txt +-e ./packages/harness + # via deer-flow +agent-client-protocol==0.10.1 + # via deerflow-harness +agent-sandbox==0.0.30 + # via deerflow-harness +aiohappyeyeballs==2.6.2 + # via aiohttp +aiohttp==3.14.1 + # via + # aiohttp-retry + # dingtalk-stream + # firecrawl-py + # hindsight-client + # kubernetes + # wecom-aibot-python-sdk +aiohttp-retry==2.9.1 + # via hindsight-client +aiosignal==1.4.0 + # via aiohttp +aiosqlite==0.22.1 + # via + # deerflow-harness + # langgraph-checkpoint-sqlite +alembic==1.18.4 + # via deerflow-harness +annotated-doc==0.0.4 + # via fastapi +annotated-types==0.7.0 + # via pydantic +anthropic==0.107.1 + # via langchain-anthropic +anyio==4.13.0 + # via + # anthropic + # google-genai + # httpx + # mcp + # openai + # sse-starlette + # starlette + # watchfiles +asyncmy==0.2.11 + # via deer-flow +attrs==26.1.0 + # via + # aiohttp + # jsonschema + # referencing +audioop-lts==0.2.2 ; python_full_version >= '3.13' + # via + # speechrecognition + # standard-aifc +azure-ai-documentintelligence==1.0.2 + # via markitdown +azure-core==1.41.0 + # via + # azure-ai-documentintelligence + # azure-identity +azure-identity==1.25.3 + # via markitdown +backoff==2.2.1 + # via langfuse +bcrypt==5.0.0 + # via deer-flow +beautifulsoup4==4.15.0 + # via + # markdownify + # markitdown + # readabilipy +blockbuster==1.5.26 + # via langgraph-runtime-inmem +brotli==1.2.0 ; platform_python_implementation == 'CPython' + # via httpx +brotlicffi==1.2.0.1 ; platform_python_implementation != 'CPython' + # via httpx +certifi==2026.5.20 + # via + # httpcore + # httpx + # kubernetes + # requests + # volcengine-python-sdk + # wecom-aibot-python-sdk +cffi==2.0.0 + # via + # brotlicffi + # cryptography +charset-normalizer==3.4.7 + # via + # markitdown + # pdfminer-six + # requests +click==8.4.1 + # via + # ddgs + # langgraph-cli + # magika + # uvicorn +cloudpickle==3.1.2 + # via langgraph-api +cobble==0.1.4 + # via mammoth +colorama==0.4.6 ; sys_platform == 'win32' + # via + # click + # tqdm + # uvicorn +coloredlogs==15.0.1 + # via onnxruntime +croniter==6.2.2 + # via + # deer-flow + # langgraph-runtime-inmem +cryptography==48.0.0 + # via + # azure-identity + # google-auth + # langgraph-api + # msal + # pdfminer-six + # pyjwt + # wecom-aibot-python-sdk +ddgs==9.14.4 + # via deerflow-harness +defusedxml==0.7.1 + # via + # markitdown + # youtube-transcript-api +dingtalk-stream==0.24.3 + # via deer-flow +distro==1.9.0 + # via + # anthropic + # google-genai + # openai +dnspython==2.8.0 + # via email-validator +docstring-parser==0.18.0 + # via anthropic +dotenv==0.9.9 + # via deerflow-harness +duckdb==1.5.3 + # via deerflow-harness +durationpy==0.10 + # via kubernetes +email-validator==2.3.0 + # via deer-flow +et-xmlfile==2.0.0 + # via openpyxl +exa-py==2.13.0 + # via deerflow-harness +fake-useragent==2.2.0 + # via ddgs +fastapi==0.136.3 + # via deer-flow +filetype==1.2.0 + # via langchain-google-genai +firecrawl-py==4.28.2 + # via deerflow-harness +flatbuffers==25.12.19 + # via onnxruntime +forbiddenfruit==0.1.4 ; implementation_name == 'cpython' + # via blockbuster +frozenlist==1.8.0 + # via + # aiohttp + # aiosignal +google-auth==2.53.0 + # via google-genai +google-genai==2.8.0 + # via langchain-google-genai +googleapis-common-protos==1.75.0 + # via opentelemetry-exporter-otlp-proto-http +greenlet==3.5.1 + # via sqlalchemy +grpcio==1.80.0 + # via + # grpcio-health-checking + # grpcio-tools + # langgraph-api +grpcio-health-checking==1.80.0 + # via langgraph-api +grpcio-tools==1.80.0 + # via langgraph-api +h11==0.16.0 + # via + # httpcore + # uvicorn +h2==4.3.0 + # via httpx +hindsight-client==0.7.2 + # via deer-flow +hpack==4.1.0 + # via h2 +html5lib==1.1 + # via readabilipy +httpcore==1.0.9 + # via + # exa-py + # httpx + # python-telegram-bot +httptools==0.8.0 + # via + # langgraph-api + # uvicorn +httpx==0.28.1 + # via + # agent-sandbox + # anthropic + # ddgs + # deer-flow + # deerflow-harness + # exa-py + # firecrawl-py + # google-genai + # langfuse + # langgraph-api + # langgraph-cli + # langgraph-sdk + # langsmith + # lark-oapi + # mcp + # openai + # python-telegram-bot + # tavily-python +httpx-sse==0.4.3 + # via mcp +humanfriendly==10.0 + # via coloredlogs +hyperframe==6.1.0 + # via h2 +idna==3.18 + # via + # anyio + # email-validator + # httpx + # requests + # yarl +isodate==0.7.2 + # via azure-ai-documentintelligence +jiter==0.15.0 + # via + # anthropic + # openai +jsonpatch==1.33 + # via langchain-core +jsonpointer==3.1.1 + # via jsonpatch +jsonschema==4.26.0 + # via mcp +jsonschema-rs==0.44.1 + # via langgraph-api +jsonschema-specifications==2025.9.1 + # via jsonschema +kubernetes==36.0.2 + # via deerflow-harness +langchain==1.3.4 + # via deerflow-harness +langchain-anthropic==1.4.4 + # via deerflow-harness +langchain-core==1.4.1 + # via + # langchain + # langchain-anthropic + # langchain-deepseek + # langchain-google-genai + # langchain-mcp-adapters + # langchain-openai + # langgraph + # langgraph-api + # langgraph-checkpoint + # langgraph-prebuilt + # langgraph-sdk +langchain-deepseek==1.1.0 + # via deerflow-harness +langchain-google-genai==4.2.4 + # via deerflow-harness +langchain-mcp-adapters==0.2.2 + # via deerflow-harness +langchain-openai==1.2.2 + # via + # deerflow-harness + # langchain-deepseek +langchain-protocol==0.0.16 + # via + # langchain-core + # langgraph-api + # langgraph-sdk +langfuse==4.7.1 + # via deerflow-harness +langgraph==1.2.4 + # via + # deerflow-harness + # langchain + # langgraph-api + # langgraph-runtime-inmem +langgraph-api==0.9.0 + # via deerflow-harness +langgraph-checkpoint==4.1.1 + # via + # langgraph + # langgraph-api + # langgraph-checkpoint-postgres + # langgraph-checkpoint-sqlite + # langgraph-prebuilt + # langgraph-runtime-inmem +langgraph-checkpoint-postgres==3.1.0 + # via deerflow-harness +langgraph-checkpoint-sqlite==3.1.0 + # via deerflow-harness +langgraph-cli==0.4.27 + # via deerflow-harness +langgraph-prebuilt==1.1.0 + # via langgraph +langgraph-runtime-inmem==0.29.0 + # via + # deerflow-harness + # langgraph-api +langgraph-sdk==0.4.2 + # via + # deer-flow + # deerflow-harness + # langgraph + # langgraph-api + # langgraph-cli +langsmith==0.8.9 + # via + # langchain-core + # langgraph-api +lark-oapi==1.6.8 + # via deer-flow +lxml==6.1.1 + # via + # ddgs + # markitdown + # python-pptx + # readabilipy +magika==0.6.3 + # via markitdown +mako==1.3.12 + # via alembic +mammoth==1.11.0 + # via markitdown +markdown-to-mrkdwn==0.3.3 + # via deer-flow +markdownify==1.2.2 + # via + # deerflow-harness + # markitdown +markitdown==0.1.5 + # via deerflow-harness +markupsafe==3.0.3 + # via mako +mcp==1.27.2 + # via langchain-mcp-adapters +mpmath==1.3.0 + # via sympy +msal==1.37.0 + # via + # azure-identity + # msal-extensions +msal-extensions==1.3.1 + # via azure-identity +multidict==6.7.1 + # via + # aiohttp + # yarl +nest-asyncio==1.6.0 + # via firecrawl-py +numpy==2.4.6 + # via + # magika + # onnxruntime + # pandas +oauthlib==3.3.1 + # via requests-oauthlib +olefile==0.47 + # via markitdown +onnxruntime==1.20.1 + # via magika +openai==2.41.0 + # via + # exa-py + # langchain-openai +openpyxl==3.1.5 + # via markitdown +opentelemetry-api==1.42.1 + # via + # langfuse + # langgraph-api + # langsmith + # opentelemetry-exporter-otlp-proto-http + # opentelemetry-sdk + # opentelemetry-semantic-conventions +opentelemetry-exporter-otlp-proto-common==1.42.1 + # via opentelemetry-exporter-otlp-proto-http +opentelemetry-exporter-otlp-proto-http==1.42.1 + # via + # langfuse + # langgraph-api + # langsmith +opentelemetry-proto==1.42.1 + # via + # opentelemetry-exporter-otlp-proto-common + # opentelemetry-exporter-otlp-proto-http +opentelemetry-sdk==1.42.1 + # via + # langfuse + # langgraph-api + # langsmith + # opentelemetry-exporter-otlp-proto-http +opentelemetry-semantic-conventions==0.63b1 + # via opentelemetry-sdk +orjson==3.11.9 + # via + # langgraph-api + # langgraph-checkpoint-postgres + # langgraph-sdk + # langsmith +ormsgpack==1.12.2 + # via langgraph-checkpoint +packaging==26.2 + # via + # langchain-core + # langfuse + # langsmith + # onnxruntime +pandas==3.0.3 + # via markitdown +pathspec==1.1.1 + # via langgraph-cli +pdfminer-six==20251230 + # via + # markitdown + # pdfplumber +pdfplumber==0.11.9 + # via markitdown +pillow==12.2.0 + # via + # pdfplumber + # python-pptx +primp==1.3.1 + # via ddgs +propcache==0.5.2 + # via + # aiohttp + # yarl +protobuf==6.33.6 + # via + # googleapis-common-protos + # grpcio-health-checking + # grpcio-tools + # langgraph-api + # onnxruntime + # opentelemetry-proto +psycopg==3.3.4 + # via + # deerflow-harness + # langgraph-checkpoint-postgres +psycopg-binary==3.3.4 ; implementation_name != 'pypy' + # via psycopg +psycopg-pool==3.3.1 + # via + # deerflow-harness + # langgraph-checkpoint-postgres +pyasn1==0.6.3 + # via pyasn1-modules +pyasn1-modules==0.4.2 + # via google-auth +pycparser==3.0 ; implementation_name != 'PyPy' + # via cffi +pycryptodome==3.23.0 + # via lark-oapi +pydantic==2.13.4 + # via + # agent-client-protocol + # agent-sandbox + # anthropic + # deerflow-harness + # exa-py + # fastapi + # firecrawl-py + # google-genai + # hindsight-client + # langchain + # langchain-anthropic + # langchain-core + # langchain-google-genai + # langfuse + # langgraph + # langsmith + # mcp + # openai + # pydantic-settings +pydantic-core==2.46.4 + # via pydantic +pydantic-settings==2.14.1 + # via mcp +pydub==0.25.1 + # via markitdown +pyee==13.0.1 + # via wecom-aibot-python-sdk +pyjwt==2.13.0 + # via + # deer-flow + # langgraph-api + # mcp + # msal +pypdfium2==5.9.0 + # via pdfplumber +pyreadline3==3.5.6 ; sys_platform == 'win32' + # via humanfriendly +python-dateutil==2.9.0.post0 + # via + # croniter + # hindsight-client + # kubernetes + # pandas + # volcengine-python-sdk +python-dotenv==1.2.2 + # via + # dotenv + # exa-py + # firecrawl-py + # langgraph-cli + # magika + # pydantic-settings + # uvicorn +python-multipart==0.0.32 + # via + # deer-flow + # mcp +python-pptx==1.0.2 + # via markitdown +python-telegram-bot==22.7 + # via deer-flow +pywin32==312 ; sys_platform == 'win32' + # via mcp +pyyaml==6.0.3 + # via + # deerflow-harness + # kubernetes + # langchain-core + # uvicorn +readabilipy==0.3.0 + # via deerflow-harness +referencing==0.37.0 + # via + # jsonschema + # jsonschema-specifications +regex==2026.5.9 + # via + # readabilipy + # tiktoken +requests==2.34.2 + # via + # azure-core + # dingtalk-stream + # exa-py + # firecrawl-py + # google-auth + # google-genai + # kubernetes + # langsmith + # lark-oapi + # markitdown + # msal + # opentelemetry-exporter-otlp-proto-http + # requests-oauthlib + # requests-toolbelt + # tavily-python + # tiktoken + # youtube-transcript-api +requests-oauthlib==2.0.0 + # via kubernetes +requests-toolbelt==1.0.0 + # via + # langsmith + # lark-oapi +rpds-py==2026.5.1 + # via + # jsonschema + # referencing +setuptools==82.0.1 + # via grpcio-tools +six==1.17.0 + # via + # html5lib + # kubernetes + # markdownify + # python-dateutil + # volcengine-python-sdk +slack-sdk==3.42.0 + # via deer-flow +sniffio==1.3.1 + # via + # anthropic + # google-genai + # openai +socksio==1.0.0 + # via httpx +soupsieve==2.8.4 + # via beautifulsoup4 +speechrecognition==3.16.1 + # via markitdown +sqlalchemy==2.0.50 + # via + # alembic + # deerflow-harness +sqlite-vec==0.1.9 + # via langgraph-checkpoint-sqlite +sse-starlette==3.3.4 + # via + # deer-flow + # langgraph-api + # langgraph-runtime-inmem + # mcp +standard-aifc==3.13.0 ; python_full_version >= '3.13' + # via speechrecognition +standard-chunk==3.13.0 ; python_full_version >= '3.13' + # via standard-aifc +starlette==1.2.1 + # via + # fastapi + # langgraph-api + # langgraph-runtime-inmem + # mcp + # sse-starlette +structlog==25.5.0 + # via + # langgraph-api + # langgraph-runtime-inmem +sympy==1.14.0 + # via onnxruntime +tavily-python==0.7.25 + # via deerflow-harness +tenacity==9.1.4 + # via + # google-genai + # langchain-core + # langgraph-api +tiktoken==0.13.0 + # via + # deerflow-harness + # langchain-openai + # tavily-python +tqdm==4.68.1 + # via openai +truststore==0.10.4 + # via langgraph-api +typing-extensions==4.15.0 + # via + # aiohttp + # aiosignal + # alembic + # anthropic + # anyio + # azure-ai-documentintelligence + # azure-core + # azure-identity + # beautifulsoup4 + # exa-py + # fastapi + # google-genai + # grpcio + # hindsight-client + # langchain-core + # langchain-mcp-adapters + # langchain-protocol + # mcp + # openai + # opentelemetry-api + # opentelemetry-exporter-otlp-proto-http + # opentelemetry-sdk + # opentelemetry-semantic-conventions + # psycopg + # psycopg-pool + # pydantic + # pydantic-core + # pyee + # python-pptx + # referencing + # speechrecognition + # sqlalchemy + # starlette + # typing-inspection +typing-inspection==0.4.2 + # via + # fastapi + # mcp + # pydantic + # pydantic-settings +tzdata==2026.2 ; sys_platform == 'emscripten' or sys_platform == 'win32' + # via + # pandas + # psycopg +urllib3==2.7.0 + # via + # hindsight-client + # kubernetes + # requests + # volcengine-python-sdk +uuid-utils==0.16.0 + # via + # langchain-core + # langgraph-api + # langsmith +uvicorn==0.49.0 + # via + # deer-flow + # langgraph-api + # mcp +uvloop==0.22.1 ; sys_platform != 'win32' + # via + # langgraph-api + # uvicorn +volcengine-python-sdk==5.0.33 + # via agent-sandbox +watchfiles==1.2.0 + # via + # langgraph-api + # uvicorn +webencodings==0.5.1 + # via html5lib +websocket-client==1.9.0 + # via kubernetes +websockets==15.0.1 + # via + # dingtalk-stream + # firecrawl-py + # google-genai + # langgraph-api + # langgraph-sdk + # langsmith + # lark-oapi + # uvicorn + # wecom-aibot-python-sdk +wecom-aibot-python-sdk==1.0.2 + # via deer-flow +wrapt==1.17.3 + # via langfuse +xlrd==2.0.2 + # via markitdown +xlsxwriter==3.2.9 + # via python-pptx +xxhash==3.7.0 + # via + # langgraph + # langsmith +yarl==1.24.2 + # via aiohttp +youtube-transcript-api==1.0.3 + # via markitdown +zstandard==0.25.0 + # via + # langgraph-api + # langsmith diff --git a/offline-backend-20260512/backend/app/gateway/app.py b/offline-backend-20260512/backend/app/gateway/app.py index 80f1c2ce..06797fce 100644 --- a/offline-backend-20260512/backend/app/gateway/app.py +++ b/offline-backend-20260512/backend/app/gateway/app.py @@ -30,9 +30,9 @@ from app.gateway.routers import ( artifacts, assistants_compat, auth, - channels, - checkpoint_migration, - feedback, + channels, + checkpoint_migration, + feedback, html_page_favorites, intent, llm_metrics, @@ -41,6 +41,8 @@ from app.gateway.routers import ( models, multi_agent, notifications, + parallel_agent_tasks, + parallel_agents, public_embed, public_scheduled_tasks, recommend, @@ -378,7 +380,7 @@ def _release_singleton_lock(handle) -> None: pass -async def _curator_scheduler_loop() -> None: +async def _curator_scheduler_loop() -> None: """常驻后台任务:每隔 _CURATOR_CHECK_INTERVAL_SECONDS 检查一次需不需要进化。 多 worker 部署下用文件锁做 leader 选举 —— 只有抢到锁的那个 worker 进程真正 @@ -404,248 +406,248 @@ async def _curator_scheduler_loop() -> None: except Exception: logger.exception("Curator scheduler tick failed (non-fatal)") await asyncio.sleep(_CURATOR_CHECK_INTERVAL_SECONDS) - finally: - _release_singleton_lock(lock_handle) - - -def _env_bool(name: str, default: bool) -> bool: - raw = os.getenv(name) - if raw is None: - return default - return raw.strip().lower() not in {"0", "false", "no", "off"} - - -def _env_int(name: str, default: int, *, alias: str | None = None, minimum: int = 1) -> int: - raw = os.getenv(name) - if raw is None and alias: - raw = os.getenv(alias) - if raw is None: - raw = str(default) - try: - value = int(raw) - except ValueError: - return default - return max(minimum, value) - - -def _env_float(name: str, default: float, *, alias: str | None = None, minimum: float = 0.0) -> float: - raw = os.getenv(name) - if raw is None and alias: - raw = os.getenv(alias) - if raw is None: - raw = str(default) - try: - value = float(raw) - except ValueError: - return default - return max(minimum, value) - - -_LEADERBOARD_SNAPSHOT_BACKGROUND_ENABLED = _env_bool("ADMIN_LEADERBOARD_BACKGROUND_ENABLED", True) -_LEADERBOARD_SNAPSHOT_PREWARM_DAYS = _env_int( - "ADMIN_LEADERBOARD_BACKGROUND_PREWARM_DAYS", - 30, -) -_LEADERBOARD_SNAPSHOT_BATCH_SIZE = _env_int( - "ADMIN_LEADERBOARD_BACKGROUND_BATCH_SIZE", - 1, -) -_LEADERBOARD_SNAPSHOT_INTERVAL_SECONDS = _env_float( - "ADMIN_LEADERBOARD_BACKGROUND_INTERVAL_SECONDS", - 300.0, -) -_LEADERBOARD_SNAPSHOT_SLEEP_SECONDS = _env_float( - "ADMIN_LEADERBOARD_BACKGROUND_SLEEP_SECONDS", - 2.0, -) -_LEADERBOARD_SNAPSHOT_RUNNING_TTL_SECONDS = _env_int( - "ADMIN_LEADERBOARD_BACKGROUND_RUNNING_TTL_SECONDS", - 1800, -) -_LEADERBOARD_SNAPSHOT_STARTUP_DELAY_SECONDS = _env_float( - "ADMIN_LEADERBOARD_BACKGROUND_STARTUP_DELAY_SECONDS", - 60.0, -) - - -def _recent_leaderboard_stat_dates(days: int) -> list[str]: - from datetime import datetime, timedelta - - from deerflow.persistence.types import BEIJING_TZ - - today = datetime.now(BEIJING_TZ).date() - start = today - timedelta(days=max(1, days) - 1) - return [(start + timedelta(days=i)).isoformat() for i in range((today - start).days + 1)] - - -async def _leaderboard_snapshot_due_dates( - session_factory, - *, - settings_hash: str, - limit: int, - running_ttl_seconds: int, -) -> list[str]: - from datetime import UTC, datetime, timedelta - - from sqlalchemy import and_, or_, select - - from deerflow.persistence.admin_stats.model import AdminLeaderboardDailyStatRow - - cutoff = datetime.now(UTC) - timedelta(seconds=running_ttl_seconds) - async with session_factory() as session: - rows = ( - await session.execute( - select(AdminLeaderboardDailyStatRow.stat_date) - .where( - AdminLeaderboardDailyStatRow.settings_hash == settings_hash, - or_( - AdminLeaderboardDailyStatRow.status.in_(["queued", "error"]), - and_( - AdminLeaderboardDailyStatRow.status == "running", - AdminLeaderboardDailyStatRow.updated_at < cutoff, - ), - ), - ) - .order_by(AdminLeaderboardDailyStatRow.stat_date.desc()) - .limit(limit) - ) - ).all() - return [str(row[0]) for row in rows] - - -async def _claim_leaderboard_snapshot( - session_factory, - *, - stat_date: str, - settings_hash: str, - running_ttl_seconds: int, -) -> bool: - from datetime import UTC, datetime - - from app.gateway.routers.admin_users import _snapshot_is_fresh - from deerflow.persistence.admin_stats.model import AdminLeaderboardDailyStatRow - from deerflow.persistence.types import BEIJING_TZ - - async with session_factory() as session: - row = await session.get( - AdminLeaderboardDailyStatRow, - {"stat_date": stat_date, "settings_hash": settings_hash}, - ) - if row is None or _snapshot_is_fresh(row, stat_date): - return False - if row.status == "running": - updated_at = row.updated_at - if isinstance(updated_at, datetime): - if updated_at.tzinfo is None: - updated_at = updated_at.replace(tzinfo=BEIJING_TZ) - age = (datetime.now(BEIJING_TZ) - updated_at.astimezone(BEIJING_TZ)).total_seconds() - if age < running_ttl_seconds: - return False - row.status = "running" - row.message = "排行榜后台统计任务已认领。" - row.error = None - row.updated_at = datetime.now(UTC) - await session.commit() - return True - - -async def _run_leaderboard_snapshot_tick() -> tuple[int, int]: - from app.gateway.routers.admin_users import ( - _daily_job_key, - _queue_daily_leaderboard_snapshots, - _refresh_daily_leaderboard_snapshot, - _resolve_leaderboard_snapshot_scope, - ) - from deerflow.config.system_settings import load_system_settings - from deerflow.persistence.engine import get_session_factory - - session_factory = get_session_factory() - if session_factory is None: - return 0, 0 - - settings = load_system_settings().leaderboard - excluded, include_scheduled, include_admins, include_failed, settings_hash = _resolve_leaderboard_snapshot_scope(settings) - stat_dates = _recent_leaderboard_stat_dates(_LEADERBOARD_SNAPSHOT_PREWARM_DAYS) - queued_dates = await _queue_daily_leaderboard_snapshots( - session_factory, - stat_dates, - settings_hash, - message="排行榜后台统计任务定期预热/补算队列。", - ) - - due_dates = await _leaderboard_snapshot_due_dates( - session_factory, - settings_hash=settings_hash, - limit=_LEADERBOARD_SNAPSHOT_BATCH_SIZE, - running_ttl_seconds=_LEADERBOARD_SNAPSHOT_RUNNING_TTL_SECONDS, - ) - processed = 0 - for stat_date in due_dates: - claimed = await _claim_leaderboard_snapshot( - session_factory, - stat_date=stat_date, - settings_hash=settings_hash, - running_ttl_seconds=_LEADERBOARD_SNAPSHOT_RUNNING_TTL_SECONDS, - ) - if not claimed: - continue - logger.info("Leaderboard snapshot scheduler: building date=%s hash=%s", stat_date, settings_hash[:10]) - await _refresh_daily_leaderboard_snapshot( - _daily_job_key(stat_date, settings_hash), - session_factory=session_factory, - settings=settings, - stat_date=stat_date, - settings_hash=settings_hash, - excluded=excluded, - include_scheduled=include_scheduled, - include_admins=include_admins, - include_failed=include_failed, - ) - processed += 1 - if _LEADERBOARD_SNAPSHOT_SLEEP_SECONDS > 0 and processed < len(due_dates): - await asyncio.sleep(_LEADERBOARD_SNAPSHOT_SLEEP_SECONDS) - return processed, len(queued_dates) - - -async def _leaderboard_snapshot_scheduler_loop() -> None: - """Background task inside the existing gateway process for daily snapshots.""" - if not _LEADERBOARD_SNAPSHOT_BACKGROUND_ENABLED: - logger.info("Leaderboard snapshot scheduler disabled by ADMIN_LEADERBOARD_BACKGROUND_ENABLED") - return - - from deerflow.config.runtime_paths import runtime_home - - lock_handle = _acquire_singleton_lock(runtime_home() / ".leaderboard_snapshot_scheduler.lock") - if lock_handle is None: - logger.info("Leaderboard snapshot scheduler: another gateway worker holds the lock; this worker skips") - return - - logger.info( - "Leaderboard snapshot scheduler started: prewarm_days=%d batch_size=%d interval=%.1fs", - _LEADERBOARD_SNAPSHOT_PREWARM_DAYS, - _LEADERBOARD_SNAPSHOT_BATCH_SIZE, - _LEADERBOARD_SNAPSHOT_INTERVAL_SECONDS, - ) - try: - if _LEADERBOARD_SNAPSHOT_STARTUP_DELAY_SECONDS > 0: - await asyncio.sleep(_LEADERBOARD_SNAPSHOT_STARTUP_DELAY_SECONDS) - while True: - try: - processed, queued = await _run_leaderboard_snapshot_tick() - if processed or queued: - logger.info( - "Leaderboard snapshot scheduler tick: queued=%d processed=%d", - queued, - processed, - ) - except Exception: - logger.exception("Leaderboard snapshot scheduler tick failed (non-fatal)") - await asyncio.sleep(_LEADERBOARD_SNAPSHOT_INTERVAL_SECONDS) - finally: - _release_singleton_lock(lock_handle) - - -def _warn_if_multi_worker() -> None: + finally: + _release_singleton_lock(lock_handle) + + +def _env_bool(name: str, default: bool) -> bool: + raw = os.getenv(name) + if raw is None: + return default + return raw.strip().lower() not in {"0", "false", "no", "off"} + + +def _env_int(name: str, default: int, *, alias: str | None = None, minimum: int = 1) -> int: + raw = os.getenv(name) + if raw is None and alias: + raw = os.getenv(alias) + if raw is None: + raw = str(default) + try: + value = int(raw) + except ValueError: + return default + return max(minimum, value) + + +def _env_float(name: str, default: float, *, alias: str | None = None, minimum: float = 0.0) -> float: + raw = os.getenv(name) + if raw is None and alias: + raw = os.getenv(alias) + if raw is None: + raw = str(default) + try: + value = float(raw) + except ValueError: + return default + return max(minimum, value) + + +_LEADERBOARD_SNAPSHOT_BACKGROUND_ENABLED = _env_bool("ADMIN_LEADERBOARD_BACKGROUND_ENABLED", True) +_LEADERBOARD_SNAPSHOT_PREWARM_DAYS = _env_int( + "ADMIN_LEADERBOARD_BACKGROUND_PREWARM_DAYS", + 30, +) +_LEADERBOARD_SNAPSHOT_BATCH_SIZE = _env_int( + "ADMIN_LEADERBOARD_BACKGROUND_BATCH_SIZE", + 1, +) +_LEADERBOARD_SNAPSHOT_INTERVAL_SECONDS = _env_float( + "ADMIN_LEADERBOARD_BACKGROUND_INTERVAL_SECONDS", + 300.0, +) +_LEADERBOARD_SNAPSHOT_SLEEP_SECONDS = _env_float( + "ADMIN_LEADERBOARD_BACKGROUND_SLEEP_SECONDS", + 2.0, +) +_LEADERBOARD_SNAPSHOT_RUNNING_TTL_SECONDS = _env_int( + "ADMIN_LEADERBOARD_BACKGROUND_RUNNING_TTL_SECONDS", + 1800, +) +_LEADERBOARD_SNAPSHOT_STARTUP_DELAY_SECONDS = _env_float( + "ADMIN_LEADERBOARD_BACKGROUND_STARTUP_DELAY_SECONDS", + 60.0, +) + + +def _recent_leaderboard_stat_dates(days: int) -> list[str]: + from datetime import datetime, timedelta + + from deerflow.persistence.types import BEIJING_TZ + + today = datetime.now(BEIJING_TZ).date() + start = today - timedelta(days=max(1, days) - 1) + return [(start + timedelta(days=i)).isoformat() for i in range((today - start).days + 1)] + + +async def _leaderboard_snapshot_due_dates( + session_factory, + *, + settings_hash: str, + limit: int, + running_ttl_seconds: int, +) -> list[str]: + from datetime import UTC, datetime, timedelta + + from sqlalchemy import and_, or_, select + + from deerflow.persistence.admin_stats.model import AdminLeaderboardDailyStatRow + + cutoff = datetime.now(UTC) - timedelta(seconds=running_ttl_seconds) + async with session_factory() as session: + rows = ( + await session.execute( + select(AdminLeaderboardDailyStatRow.stat_date) + .where( + AdminLeaderboardDailyStatRow.settings_hash == settings_hash, + or_( + AdminLeaderboardDailyStatRow.status.in_(["queued", "error"]), + and_( + AdminLeaderboardDailyStatRow.status == "running", + AdminLeaderboardDailyStatRow.updated_at < cutoff, + ), + ), + ) + .order_by(AdminLeaderboardDailyStatRow.stat_date.desc()) + .limit(limit) + ) + ).all() + return [str(row[0]) for row in rows] + + +async def _claim_leaderboard_snapshot( + session_factory, + *, + stat_date: str, + settings_hash: str, + running_ttl_seconds: int, +) -> bool: + from datetime import UTC, datetime + + from app.gateway.routers.admin_users import _snapshot_is_fresh + from deerflow.persistence.admin_stats.model import AdminLeaderboardDailyStatRow + from deerflow.persistence.types import BEIJING_TZ + + async with session_factory() as session: + row = await session.get( + AdminLeaderboardDailyStatRow, + {"stat_date": stat_date, "settings_hash": settings_hash}, + ) + if row is None or _snapshot_is_fresh(row, stat_date): + return False + if row.status == "running": + updated_at = row.updated_at + if isinstance(updated_at, datetime): + if updated_at.tzinfo is None: + updated_at = updated_at.replace(tzinfo=BEIJING_TZ) + age = (datetime.now(BEIJING_TZ) - updated_at.astimezone(BEIJING_TZ)).total_seconds() + if age < running_ttl_seconds: + return False + row.status = "running" + row.message = "排行榜后台统计任务已认领。" + row.error = None + row.updated_at = datetime.now(UTC) + await session.commit() + return True + + +async def _run_leaderboard_snapshot_tick() -> tuple[int, int]: + from app.gateway.routers.admin_users import ( + _daily_job_key, + _queue_daily_leaderboard_snapshots, + _refresh_daily_leaderboard_snapshot, + _resolve_leaderboard_snapshot_scope, + ) + from deerflow.config.system_settings import load_system_settings + from deerflow.persistence.engine import get_session_factory + + session_factory = get_session_factory() + if session_factory is None: + return 0, 0 + + settings = load_system_settings().leaderboard + excluded, include_scheduled, include_admins, include_failed, settings_hash = _resolve_leaderboard_snapshot_scope(settings) + stat_dates = _recent_leaderboard_stat_dates(_LEADERBOARD_SNAPSHOT_PREWARM_DAYS) + queued_dates = await _queue_daily_leaderboard_snapshots( + session_factory, + stat_dates, + settings_hash, + message="排行榜后台统计任务定期预热/补算队列。", + ) + + due_dates = await _leaderboard_snapshot_due_dates( + session_factory, + settings_hash=settings_hash, + limit=_LEADERBOARD_SNAPSHOT_BATCH_SIZE, + running_ttl_seconds=_LEADERBOARD_SNAPSHOT_RUNNING_TTL_SECONDS, + ) + processed = 0 + for stat_date in due_dates: + claimed = await _claim_leaderboard_snapshot( + session_factory, + stat_date=stat_date, + settings_hash=settings_hash, + running_ttl_seconds=_LEADERBOARD_SNAPSHOT_RUNNING_TTL_SECONDS, + ) + if not claimed: + continue + logger.info("Leaderboard snapshot scheduler: building date=%s hash=%s", stat_date, settings_hash[:10]) + await _refresh_daily_leaderboard_snapshot( + _daily_job_key(stat_date, settings_hash), + session_factory=session_factory, + settings=settings, + stat_date=stat_date, + settings_hash=settings_hash, + excluded=excluded, + include_scheduled=include_scheduled, + include_admins=include_admins, + include_failed=include_failed, + ) + processed += 1 + if _LEADERBOARD_SNAPSHOT_SLEEP_SECONDS > 0 and processed < len(due_dates): + await asyncio.sleep(_LEADERBOARD_SNAPSHOT_SLEEP_SECONDS) + return processed, len(queued_dates) + + +async def _leaderboard_snapshot_scheduler_loop() -> None: + """Background task inside the existing gateway process for daily snapshots.""" + if not _LEADERBOARD_SNAPSHOT_BACKGROUND_ENABLED: + logger.info("Leaderboard snapshot scheduler disabled by ADMIN_LEADERBOARD_BACKGROUND_ENABLED") + return + + from deerflow.config.runtime_paths import runtime_home + + lock_handle = _acquire_singleton_lock(runtime_home() / ".leaderboard_snapshot_scheduler.lock") + if lock_handle is None: + logger.info("Leaderboard snapshot scheduler: another gateway worker holds the lock; this worker skips") + return + + logger.info( + "Leaderboard snapshot scheduler started: prewarm_days=%d batch_size=%d interval=%.1fs", + _LEADERBOARD_SNAPSHOT_PREWARM_DAYS, + _LEADERBOARD_SNAPSHOT_BATCH_SIZE, + _LEADERBOARD_SNAPSHOT_INTERVAL_SECONDS, + ) + try: + if _LEADERBOARD_SNAPSHOT_STARTUP_DELAY_SECONDS > 0: + await asyncio.sleep(_LEADERBOARD_SNAPSHOT_STARTUP_DELAY_SECONDS) + while True: + try: + processed, queued = await _run_leaderboard_snapshot_tick() + if processed or queued: + logger.info( + "Leaderboard snapshot scheduler tick: queued=%d processed=%d", + queued, + processed, + ) + except Exception: + logger.exception("Leaderboard snapshot scheduler tick failed (non-fatal)") + await asyncio.sleep(_LEADERBOARD_SNAPSHOT_INTERVAL_SECONDS) + finally: + _release_singleton_lock(lock_handle) + + +def _warn_if_multi_worker() -> None: """检测 uvicorn / gunicorn 多 worker 部署并打 ERROR 日志。 主 agent / canvas / AI 写作流式响应在 Gateway 进程内通过 ``StreamBridge`` @@ -799,21 +801,21 @@ async def lifespan(app: FastAPI) -> AsyncGenerator[None, None]: # 默认每天凌晨 3 点扫一次,删 retention_days(默认 7 天)以前的会话,联动 # 清理 MySQL 业务表 + SQLite checkpointer 里的 thread 状态。多 worker # 下用文件锁选 leader,只有抢到锁的 worker 真正跑清理。 - try: - from app.gateway.ai_writing_cleanup import cleanup_scheduler_loop - - app.state.ai_writing_cleanup_task = asyncio.create_task(cleanup_scheduler_loop(app)) - except Exception: - logger.exception("AI writing cleanup scheduler failed to start (non-fatal)") - - try: - app.state.leaderboard_snapshot_scheduler_task = asyncio.create_task(_leaderboard_snapshot_scheduler_loop()) - except Exception: - logger.exception("Leaderboard snapshot scheduler failed to start (non-fatal)") - - # Start IM channel service if any channels are configured - try: - from app.channels.service import start_channel_service + try: + from app.gateway.ai_writing_cleanup import cleanup_scheduler_loop + + app.state.ai_writing_cleanup_task = asyncio.create_task(cleanup_scheduler_loop(app)) + except Exception: + logger.exception("AI writing cleanup scheduler failed to start (non-fatal)") + + try: + app.state.leaderboard_snapshot_scheduler_task = asyncio.create_task(_leaderboard_snapshot_scheduler_loop()) + except Exception: + logger.exception("Leaderboard snapshot scheduler failed to start (non-fatal)") + + # Start IM channel service if any channels are configured + try: + from app.channels.service import start_channel_service channel_service = await start_channel_service(app.state.config) logger.info("Channel service started: %s", channel_service.get_status()) @@ -857,17 +859,17 @@ async def lifespan(app: FastAPI) -> AsyncGenerator[None, None]: except asyncio.CancelledError: pass except Exception: - logger.exception("AI writing cleanup scheduler shutdown error") - - leaderboard_snapshot_task = getattr(app.state, "leaderboard_snapshot_scheduler_task", None) - if leaderboard_snapshot_task is not None: - leaderboard_snapshot_task.cancel() - try: - await leaderboard_snapshot_task - except asyncio.CancelledError: - pass - except Exception: - logger.exception("Leaderboard snapshot scheduler shutdown error") + logger.exception("AI writing cleanup scheduler shutdown error") + + leaderboard_snapshot_task = getattr(app.state, "leaderboard_snapshot_scheduler_task", None) + if leaderboard_snapshot_task is not None: + leaderboard_snapshot_task.cancel() + try: + await leaderboard_snapshot_task + except asyncio.CancelledError: + pass + except Exception: + logger.exception("Leaderboard snapshot scheduler shutdown error") # 阶段 7 删冗余：AI 写作 graph 不再自管 checkpointer / in-flight task； # thread 状态由 LangGraph Server 主 checkpointer 接管，lifespan 出口由 @@ -1122,6 +1124,10 @@ This gateway provides custom endpoints for models, MCP configuration, skills, an # Roundtable-planning business chains at /api/roundtable-chains app.include_router(roundtable_chains.router) + # Standalone parallel multi-agent panel: fan-out streaming + saved tasks + app.include_router(parallel_agents.router) + app.include_router(parallel_agent_tasks.router) + # Roundtable-planning background jobs at /api/roundtable-jobs app.include_router(roundtable_jobs.router) @@ -1159,10 +1165,10 @@ This gateway provides custom endpoints for models, MCP configuration, skills, an app.include_router(tool_metrics.router) # Channels API is mounted at /api/channels - app.include_router(channels.router) - - # Admin checkpoint migration API: SQLite legacy checkpoints -> Postgres. - app.include_router(checkpoint_migration.router) + app.include_router(channels.router) + + # Admin checkpoint migration API: SQLite legacy checkpoints -> Postgres. + app.include_router(checkpoint_migration.router) # Assistants compatibility API (LangGraph Platform stub) app.include_router(assistants_compat.router) diff --git a/offline-backend-20260512/backend/app/gateway/deps.py b/offline-backend-20260512/backend/app/gateway/deps.py index e440e95d..22973c3b 100644 --- a/offline-backend-20260512/backend/app/gateway/deps.py +++ b/offline-backend-20260512/backend/app/gateway/deps.py @@ -179,6 +179,10 @@ async def langgraph_runtime(app: FastAPI) -> AsyncGenerator[None, None]: app.state.roundtable_chain_store = make_roundtable_chain_store(sf) + from deerflow.persistence.parallel_agent_tasks import make_parallel_agent_task_store + + app.state.parallel_agent_task_store = make_parallel_agent_task_store(sf) + from deerflow.persistence.roundtable_jobs import ( make_roundtable_job_store, register_default_store as _register_roundtable_job_default_store, diff --git a/offline-backend-20260512/backend/app/gateway/routers/parallel_agent_tasks.py b/offline-backend-20260512/backend/app/gateway/routers/parallel_agent_tasks.py new file mode 100644 index 00000000..e8c41080 --- /dev/null +++ b/offline-backend-20260512/backend/app/gateway/routers/parallel_agent_tasks.py @@ -0,0 +1,148 @@ +"""CRUD API for parallel multi-agent task records (并行多智能体任务). + +A task = one saved run of the standalone parallel multi-agent panel: a task name ++ brief dispatched to several agents in parallel, plus the resulting message list. +Bound to the requesting user (not the browser), so it follows the account across +devices/sessions — same model as roundtable drafts. + +Routes (prefix ``/api/parallel-agent-tasks``): + GET "" list current user's tasks (lightweight meta, no messages) + POST "" create a task + GET "/{task_id}" one task (full, incl. messages) + PUT "/{task_id}" partial update (title / brief / agents / messages) + DELETE "/{task_id}" delete +""" + +from __future__ import annotations + +import logging +from datetime import datetime +from typing import Any +from uuid import uuid4 + +from fastapi import APIRouter, HTTPException, Request +from pydantic import BaseModel, Field + +from deerflow.runtime.user_context import get_effective_user_id + +logger = logging.getLogger(__name__) +router = APIRouter(prefix="/api/parallel-agent-tasks", tags=["parallel-agent-tasks"]) + + +# ── schemas ──────────────────────────────────────────────────────────────── + + +class TaskAgentSchema(BaseModel): + agent_id: str = Field(min_length=1, max_length=128) + name: str = "" + avatarType: str | None = None + + +class TaskResponse(BaseModel): + id: str + title: str = "" + brief: str | None = None + agents: list[TaskAgentSchema] = [] + # messages is an opaque dialogue list (mirrors the frontend Dialogue[] shape); + # absent on list responses (lightweight), present on get. + messages: list[dict[str, Any]] | None = None + created_at: datetime | str | None = None + updated_at: datetime | str | None = None + + +class TaskListResponse(BaseModel): + tasks: list[TaskResponse] + + +class TaskCreateRequest(BaseModel): + id: str | None = Field(default=None, max_length=64) + title: str = Field(default="", max_length=512) + brief: str | None = None + agents: list[TaskAgentSchema] = [] + messages: list[dict[str, Any]] = [] + + +class TaskUpdateRequest(BaseModel): + # All optional → callers send only what changed. + title: str | None = Field(default=None, max_length=512) + brief: str | None = None + agents: list[TaskAgentSchema] | None = None + messages: list[dict[str, Any]] | None = None + + +# ── helpers ────────────────────────────────────────────────────────────── + + +def _current_user_id(request: Request) -> str: + user = getattr(request.state, "user", None) + if user is not None: + return str(user.id) + return get_effective_user_id() + + +def _get_store(request: Request): + store = getattr(request.app.state, "parallel_agent_task_store", None) + if store is None: + raise HTTPException(status_code=503, detail="Parallel agent task store not available") + return store + + +# ── routes ─────────────────────────────────────────────────────────────── + + +@router.get("", response_model=TaskListResponse) +async def list_tasks(request: Request) -> TaskListResponse: + store = _get_store(request) + user_id = _current_user_id(request) + rows = await store.list_tasks(user_id) + return TaskListResponse(tasks=[TaskResponse(**r) for r in rows]) + + +@router.post("", response_model=TaskResponse, status_code=201) +async def create_task(request: Request, body: TaskCreateRequest) -> TaskResponse: + store = _get_store(request) + user_id = _current_user_id(request) + row = await store.create_task( + user_id, + { + "id": (body.id or uuid4().hex), + "title": body.title.strip(), + "brief": body.brief, + "agents": [a.model_dump() for a in body.agents], + "messages": body.messages, + }, + ) + return TaskResponse(**row) + + +@router.get("/{task_id}", response_model=TaskResponse) +async def get_task(request: Request, task_id: str) -> TaskResponse: + store = _get_store(request) + user_id = _current_user_id(request) + row = await store.get_task(task_id, user_id) + if row is None: + raise HTTPException(status_code=404, detail="Task not found") + return TaskResponse(**row) + + +@router.put("/{task_id}", response_model=TaskResponse) +async def update_task(request: Request, task_id: str, body: TaskUpdateRequest) -> TaskResponse: + store = _get_store(request) + user_id = _current_user_id(request) + fields = body.model_dump(exclude_unset=True) + # Normalize agents (pydantic models) to plain dicts for JSON storage. + if "agents" in fields and fields["agents"] is not None: + fields["agents"] = [a if isinstance(a, dict) else a.model_dump() for a in body.agents or []] + row = await store.update_task(task_id, user_id, **fields) + if row is None: + raise HTTPException(status_code=404, detail="Task not found") + return TaskResponse(**row) + + +@router.delete("/{task_id}", status_code=204) +async def delete_task(request: Request, task_id: str) -> None: + store = _get_store(request) + user_id = _current_user_id(request) + deleted = await store.delete_task(task_id, user_id) + if not deleted: + raise HTTPException(status_code=404, detail="Task not found") diff --git a/offline-backend-20260512/backend/app/gateway/routers/parallel_agents.py b/offline-backend-20260512/backend/app/gateway/routers/parallel_agents.py new file mode 100644 index 00000000..f16791c1 --- /dev/null +++ b/offline-backend-20260512/backend/app/gateway/routers/parallel_agents.py @@ -0,0 +1,247 @@ +"""Server-side parallel fan-out for the standalone parallel multi-agent panel. + +The Vue embeddable panel sends a single request — ``{task_name, brief, agent_ids}`` +— and this endpoint **fans out** to every agent in parallel (file writes disabled), +then **merges** their LangGraph streams into ONE SSE tagged per ``agent_id``, so the +client only consumes one stream and never parses LangGraph internals. + +It reuses the roundtable single-agent machinery from ``multi_agent``: +``_special_run(..., no_file=True)`` runs one seat under the ``seat_parallel`` run +policy (which excludes ``write_file`` / ``str_replace`` / ``bash`` / ``web_search`` +/ ``agent_orchestration`` …), so parallel agents can't write files or dispatch. + +Unified event protocol (one JSON object per ``data:`` frame):: + + {"type": "agent_start", "agent_id": "..."} + {"type": "delta", "agent_id": "...", "text": "..."} # AI text increment + {"type": "step", "agent_id": "...", "key": "...", "label": "...", "args": {...}} + {"type": "agent_done", "agent_id": "...", "content": "..."} + {"type": "agent_error", "agent_id": "...", "message": "..."} + {"type": "all_done"} + +The frame-normalisation (LangGraph ``messages-tuple`` → delta / tool step) mirrors +the frontend parser in ``frontend-web/src/roundtable-planning/api/multi-agent.ts`` +(``extractAiTextDelta`` + ``tool_call_chunks`` accumulation). +""" + +from __future__ import annotations + +import asyncio +import json +import logging +from typing import Any, AsyncIterator + +from fastapi import APIRouter, Body, HTTPException, Request +from fastapi.responses import StreamingResponse + +from app.gateway.routers.multi_agent import ( + _ROUNDTABLE_THREAD_METADATA, + _auth_headers, + _create_thread, + _loopback_base, + _make_loopback_client, + _special_run, + _validate_agent_id, +) + +logger = logging.getLogger(__name__) +router = APIRouter(prefix="/api/parallel-agents", tags=["parallel-agents"]) + +# Soft cap on parallel degree — protects remote model concurrency + sandbox. +MAX_PARALLEL_AGENTS = 8 + + +# ── frame normalisation (mirrors multi-agent.ts) ───────────────────────────── + + +def _extract_ai_text(chunk: dict[str, Any]) -> str: + """AI text delta from a ``messages-tuple`` chunk obj; "" when not AI text.""" + type_ = str(chunk.get("type") or "").lower() + if type_ not in ("ai", "aimessagechunk", "aimessage"): + return "" + content = chunk.get("content") + if isinstance(content, str): + return content + if isinstance(content, list): + out: list[str] = [] + for item in content: + if isinstance(item, str): + out.append(item) + elif isinstance(item, dict): + t = item.get("text") + if isinstance(t, str): + out.append(t) + return "".join(out) + return "" + + +def _extract_tool_steps(chunk: dict[str, Any]) -> list[dict[str, Any]]: + """Tool-call steps from a chunk obj — both complete ``tool_calls`` and + incremental ``tool_call_chunks`` (we only need the name to surface a step).""" + steps: list[dict[str, Any]] = [] + tool_calls = chunk.get("tool_calls") + if isinstance(tool_calls, list): + for tc in tool_calls: + if not isinstance(tc, dict): + continue + name = tc.get("name") + if not isinstance(name, str) or not name: + continue + ident = tc.get("id") or name + args = tc.get("args") if isinstance(tc.get("args"), dict) else None + steps.append({"key": f"tool:{ident}", "label": f"调用工具 {name}", "args": args}) + tcc = chunk.get("tool_call_chunks") + if isinstance(tcc, list): + for c in tcc: + if not isinstance(c, dict): + continue + name = c.get("name") + if not isinstance(name, str) or not name: + continue + idx = c.get("index") if isinstance(c.get("index"), int) else 0 + ident = c.get("id") or f"{name}:{idx}" + steps.append({"key": f"tool:{ident}", "label": f"调用工具 {name}", "args": None}) + return steps + + +def _build_task_message(task_name: str, brief: str) -> str: + parts: list[str] = [] + if task_name.strip(): + parts.append(f"任务名称：{task_name.strip()}") + if brief.strip(): + parts.append(f"任务简介：\n{brief.strip()}") + parts.append( + "请你从你的专业职责出发，针对以上任务给出你的分析与交付。" + "本轮为**并行**研讨：请把你的产出**直接写在回复正文里**，" + "不要写文件、不要执行脚本/命令。" + ) + return "\n\n".join(parts) + + +# ── endpoint ───────────────────────────────────────────────────────────────── + + +@router.post("/run/stream") +async def run_parallel_agents_stream(request: Request, payload: dict = Body(...)) -> StreamingResponse: + """并行扇出 N 个智能体，合并成一条带 ``agent_id`` 标记的 SSE。文件写入固定禁用。""" + task_name: str = str(payload.get("task_name") or "").strip() + brief: str = str(payload.get("brief") or "").strip() + raw_ids = payload.get("agent_ids") or [] + model_name: str = str(payload.get("model") or "") + + if not isinstance(raw_ids, list) or not raw_ids: + raise HTTPException(status_code=400, detail="agent_ids 不能为空") + agent_ids: list[str] = [] + for aid in raw_ids: + sid = str(aid or "").strip().lower() + _validate_agent_id(sid, "agent_ids") + if sid not in agent_ids: + agent_ids.append(sid) + if len(agent_ids) > MAX_PARALLEL_AGENTS: + raise HTTPException( + status_code=400, + detail=f"并行智能体数量上限 {MAX_PARALLEL_AGENTS}（当前 {len(agent_ids)}）", + ) + if not task_name and not brief: + raise HTTPException(status_code=400, detail="任务名称与简介至少填写其一") + + base = _loopback_base(request) + headers = _auth_headers(request) + new_message = _build_task_message(task_name, brief) + + async def _consume_agent( + client: Any, + agent_id: str, + queue: asyncio.Queue[dict[str, Any]], + ) -> None: + await queue.put({"type": "agent_start", "agent_id": agent_id}) + last_event = "" + seen_steps: set[str] = set() + buffer: list[str] = [] + done_sent = False + try: + thread_id = await _create_thread(client, base, headers, metadata=_ROUNDTABLE_THREAD_METADATA) + gen = _special_run( + client, + base, + headers, + {agent_id: thread_id}, + agent_id, + new_message, + [], + model_name, + display_name="", + no_file=True, # seat_parallel policy → 禁 write_file/bash/str_replace… + ) + async for chunk in gen: + if isinstance(chunk, dict): + # 终态帧 {status, content, agent_name} + content = str(chunk.get("content") or "") + await queue.put({"type": "agent_done", "agent_id": agent_id, "content": content}) + done_sent = True + continue + line = chunk.strip() if isinstance(chunk, str) else "" + if line.startswith("event:"): + last_event = line[6:].strip() + continue + if not line.startswith("data:"): + continue + raw = line[5:].strip() + if not raw: + continue + try: + parsed = json.loads(raw) + except Exception: + continue + if last_event == "messages" and isinstance(parsed, list) and parsed: + obj = parsed[0] + if isinstance(obj, dict): + text = _extract_ai_text(obj) + if text: + buffer.append(text) + await queue.put({"type": "delta", "agent_id": agent_id, "text": text}) + for step in _extract_tool_steps(obj): + key = step["key"] + if key in seen_steps: + continue + seen_steps.add(key) + await queue.put({"type": "step", "agent_id": agent_id, **step}) + if not done_sent: + # 流被抢占/截断,没收到终态帧 —— 用已累积正文兜底收口本席位。 + await queue.put( + {"type": "agent_done", "agent_id": agent_id, "content": "".join(buffer)} + ) + except Exception as exc: # noqa: BLE001 — 单个 agent 失败不拖垮其它 + logger.warning("[parallel-agents] %s failed: %r", agent_id, exc) + await queue.put({"type": "agent_error", "agent_id": agent_id, "message": str(exc)}) + finally: + await queue.put({"type": "__agent_end__", "agent_id": agent_id}) + + async def stream_generator() -> AsyncIterator[str]: + queue: asyncio.Queue[dict[str, Any]] = asyncio.Queue() + async with _make_loopback_client(request) as client: + tasks = [asyncio.create_task(_consume_agent(client, aid, queue)) for aid in agent_ids] + ended = 0 + try: + while ended < len(agent_ids): + event = await queue.get() + if event.get("type") == "__agent_end__": + ended += 1 + continue + yield f"data: {json.dumps(event, ensure_ascii=False)}\n\n" + yield f"data: {json.dumps({'type': 'all_done'}, ensure_ascii=False)}\n\n" + finally: + for t in tasks: + if not t.done(): + t.cancel() + await asyncio.gather(*tasks, return_exceptions=True) + + return StreamingResponse( + stream_generator(), + media_type="text/event-stream", + headers={ + "Cache-Control": "no-cache", + "X-Accel-Buffering": "no", + "Connection": "keep-alive", + }, + ) diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260608_05_parallel_agent_tasks.py b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260608_05_parallel_agent_tasks.py new file mode 100644 index 00000000..f51b680e --- /dev/null +++ b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/migrations/versions/20260608_05_parallel_agent_tasks.py @@ -0,0 +1,61 @@ +"""Create parallel_agent_tasks table. + +Saved runs of the standalone parallel multi-agent panel (Vue embeddable +component): task name + brief + agents snapshot + the resulting message list, +bound per user. ``brief`` / ``agents`` / ``messages`` are LONGTEXT on MySQL +(mirror ``roundtable_drafts`` headroom) and plain TEXT elsewhere — matching +``PortableLongText``. ``create_all`` builds the table for brand-new DBs; this +revision patches DBs that already exist. + +Chained after ``20260608_04`` (chain stage_goals) so the revision graph stays +single-headed — otherwise ``alembic upgrade head`` aborts with "multiple heads" +and the startup auto-migrate silently falls back to the create_all schema. + +Revision ID: 20260608_05 +Revises: 20260608_04 +Create Date: 2026-06-08 +""" + +from __future__ import annotations + +import sqlalchemy as sa +from alembic import op +from sqlalchemy import inspect +from sqlalchemy.dialects.mysql import LONGTEXT + + +revision = "20260608_05" +down_revision = "20260608_04" +branch_labels = None +depends_on = None + + +def _has_table(table_name: str) -> bool: + inspector = inspect(op.get_bind()) + return table_name in inspector.get_table_names() + + +def upgrade() -> None: + if _has_table("parallel_agent_tasks"): + return + long_text = LONGTEXT() if op.get_bind().dialect.name == "mysql" else sa.Text() + op.create_table( + "parallel_agent_tasks", + sa.Column("id", sa.String(length=64), primary_key=True, nullable=False), + sa.Column("user_id", sa.String(length=64), nullable=False), + sa.Column("title", sa.String(length=512), nullable=False, server_default=""), + sa.Column("brief", long_text, nullable=True), + sa.Column("agents", long_text, nullable=True), + sa.Column("messages", long_text, nullable=True), + sa.Column("created_at", sa.DateTime(), nullable=False), + sa.Column("updated_at", sa.DateTime(), nullable=False), + ) + op.create_index( + "ix_parallel_agent_tasks_user_id", "parallel_agent_tasks", ["user_id"] + ) + + +def downgrade() -> None: + if _has_table("parallel_agent_tasks"): + op.drop_index("ix_parallel_agent_tasks_user_id", table_name="parallel_agent_tasks") + op.drop_table("parallel_agent_tasks") diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/models/__init__.py b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/models/__init__.py index 45122546..7cb7408b 100644 --- a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/models/__init__.py +++ b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/models/__init__.py @@ -27,6 +27,7 @@ from deerflow.persistence.feedback.model import FeedbackRow from deerflow.persistence.llm_metrics.model import LlmCallMetricRow from deerflow.persistence.models.run_event import RunEventRow from deerflow.persistence.notifications.model import NotificationRow +from deerflow.persistence.parallel_agent_tasks.model import ParallelAgentTaskRow from deerflow.persistence.recommended_questions.model import RecommendedQuestionRow from deerflow.persistence.roundtable_chains.model import RoundtableChainRow from deerflow.persistence.roundtable_draft_shares.model import RoundtableDraftShareRow @@ -62,6 +63,7 @@ __all__ = [ "AdminLeaderboardDailyStatRow", "LlmCallMetricRow", "NotificationRow", + "ParallelAgentTaskRow", "RecommendedQuestionRow", "RoundtableChainRow", "RoundtableDraftRow", diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/parallel_agent_tasks/__init__.py b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/parallel_agent_tasks/__init__.py new file mode 100644 index 00000000..4dae1d28 --- /dev/null +++ b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/parallel_agent_tasks/__init__.py @@ -0,0 +1,18 @@ +"""Parallel multi-agent task persistence.""" + +from __future__ import annotations + +from deerflow.persistence.parallel_agent_tasks.model import ParallelAgentTaskRow +from deerflow.persistence.parallel_agent_tasks.sql import ParallelAgentTaskRepository + +__all__ = [ + "ParallelAgentTaskRepository", + "ParallelAgentTaskRow", + "make_parallel_agent_task_store", +] + + +def make_parallel_agent_task_store(session_factory): + if session_factory is None: + return None + return ParallelAgentTaskRepository(session_factory) diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/parallel_agent_tasks/model.py b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/parallel_agent_tasks/model.py new file mode 100644 index 00000000..8237ddfc --- /dev/null +++ b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/parallel_agent_tasks/model.py @@ -0,0 +1,46 @@ +"""ORM model for parallel multi-agent task records. + +A "parallel-agent task" is one saved run of the standalone *parallel multi-agent* +panel (the Vue3 embeddable component): a task name + brief dispatched to several +agents in parallel, plus the resulting chat/message list. Persisted per user so it +follows the account across devices/sessions — same model as ``roundtable_drafts``. + +``agents`` and ``messages`` are stored as JSON serialized into ``PortableLongText`` +(MySQL ``LONGTEXT``) rather than ``PortableJSON`` (MySQL ``TEXT``, 64 KB cap), +because the parallel transcript can carry several agents' full deliveries that +easily exceed 64 KB — mirroring ``roundtable_drafts``. +""" + +from __future__ import annotations + +from datetime import UTC, datetime + +from sqlalchemy import String +from sqlalchemy.orm import Mapped, mapped_column + +from deerflow.persistence.base import Base +from deerflow.persistence.types import BeijingDateTime, PortableLongText + + +class ParallelAgentTaskRow(Base): + __tablename__ = "parallel_agent_tasks" + + id: Mapped[str] = mapped_column(String(64), primary_key=True) + user_id: Mapped[str] = mapped_column(String(64), nullable=False, index=True) + # Task name (用户输入的任务名称) shown on the history list. + title: Mapped[str] = mapped_column(String(512), nullable=False, default="") + # Task brief / 简介 — the free-text task description. + brief: Mapped[str | None] = mapped_column(PortableLongText, nullable=True) + # JSON: snapshot of the agents dispatched, [{"agent_id", "name", "avatarType"?}]. + agents: Mapped[str | None] = mapped_column(PortableLongText, nullable=True) + # JSON: the full message/dialogue list (mirrors the frontend Dialogue[] shape). + messages: Mapped[str | None] = mapped_column(PortableLongText, nullable=True) + created_at: Mapped[datetime] = mapped_column( + BeijingDateTime(), nullable=False, default=lambda: datetime.now(UTC) + ) + updated_at: Mapped[datetime] = mapped_column( + BeijingDateTime(), + nullable=False, + default=lambda: datetime.now(UTC), + onupdate=lambda: datetime.now(UTC), + ) diff --git a/offline-backend-20260512/backend/packages/harness/deerflow/persistence/parallel_agent_tasks/sql.py b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/parallel_agent_tasks/sql.py new file mode 100644 index 00000000..48bb014e --- /dev/null +++ b/offline-backend-20260512/backend/packages/harness/deerflow/persistence/parallel_agent_tasks/sql.py @@ -0,0 +1,131 @@ +"""SQLAlchemy-backed store for parallel multi-agent task records. + +``agents`` / ``messages`` JSON columns are stored as serialized strings in +``PortableLongText`` and round-tripped here with ``json.dumps`` / ``json.loads`` +— same approach as ``roundtable_drafts`` / ``roundtable_chains``. + +All write/read paths are scoped by ``user_id`` for ownership isolation; a row +that belongs to another user is treated as not found. +""" + +from __future__ import annotations + +import json +from datetime import UTC, datetime +from typing import Any + +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker + +from deerflow.persistence.parallel_agent_tasks.model import ParallelAgentTaskRow + +_UNSET = object() + + +def _loads(value: Any) -> Any: + if not isinstance(value, str): + return value + if not value: + return None + try: + return json.loads(value) + except Exception: + return None + + +def _dumps(value: Any) -> str | None: + if value is None: + return None + return json.dumps(value, ensure_ascii=False) + + +class ParallelAgentTaskRepository: + def __init__(self, session_factory: async_sessionmaker[AsyncSession]) -> None: + self._sf = session_factory + + @staticmethod + def _to_dict(row: ParallelAgentTaskRow, *, with_messages: bool = True) -> dict[str, Any]: + data: dict[str, Any] = { + "id": row.id, + "title": row.title, + "brief": row.brief, + "agents": _loads(row.agents) or [], + "created_at": row.created_at.isoformat() if isinstance(row.created_at, datetime) else row.created_at, + "updated_at": row.updated_at.isoformat() if isinstance(row.updated_at, datetime) else row.updated_at, + } + if with_messages: + data["messages"] = _loads(row.messages) or [] + return data + + async def list_tasks(self, user_id: str, *, limit: int = 200) -> list[dict[str, Any]]: + """列出当前用户的任务（轻量元信息，不含 messages，供历史列表）。""" + stmt = ( + select(ParallelAgentTaskRow) + .where(ParallelAgentTaskRow.user_id == user_id) + .order_by(ParallelAgentTaskRow.updated_at.desc()) + .limit(limit) + ) + async with self._sf() as session: + result = await session.execute(stmt) + return [self._to_dict(row, with_messages=False) for row in result.scalars()] + + async def get_task(self, task_id: str, user_id: str) -> dict[str, Any] | None: + async with self._sf() as session: + row = await session.get(ParallelAgentTaskRow, task_id) + if row is None or row.user_id != user_id: + return None + return self._to_dict(row) + + async def create_task(self, user_id: str, data: dict[str, Any]) -> dict[str, Any]: + now = datetime.now(UTC) + row = ParallelAgentTaskRow( + id=data["id"], + user_id=user_id, + title=(data.get("title") or "").strip(), + brief=(data.get("brief") or None), + agents=_dumps(data.get("agents") or []), + messages=_dumps(data.get("messages") or []), + created_at=now, + updated_at=now, + ) + async with self._sf() as session: + session.add(row) + await session.commit() + await session.refresh(row) + return self._to_dict(row) + + async def update_task( + self, + task_id: str, + user_id: str, + *, + title=_UNSET, + brief=_UNSET, + agents=_UNSET, + messages=_UNSET, + ) -> dict[str, Any] | None: + async with self._sf() as session: + row = await session.get(ParallelAgentTaskRow, task_id) + if row is None or row.user_id != user_id: + return None + if title is not _UNSET and title is not None: + row.title = str(title).strip() + if brief is not _UNSET: + row.brief = brief or None + if agents is not _UNSET: + row.agents = _dumps(agents) + if messages is not _UNSET: + row.messages = _dumps(messages) + row.updated_at = datetime.now(UTC) + await session.commit() + await session.refresh(row) + return self._to_dict(row) + + async def delete_task(self, task_id: str, user_id: str) -> bool: + async with self._sf() as session: + row = await session.get(ParallelAgentTaskRow, task_id) + if row is None or row.user_id != user_id: + return False + await session.delete(row) + await session.commit() + return True diff --git a/parallel-agents-vue/README.md b/parallel-agents-vue/README.md new file mode 100644 index 00000000..c4602f35 --- /dev/null +++ b/parallel-agents-vue/README.md @@ -0,0 +1,79 @@ +# parallel-agents-vue + +并行多智能体面板 —— Vue3 可嵌入组件。输入「任务名称 + 简介」，**并行调用多个智能体** +（智能体清单由宿主传入，运行期间后端固定**禁止写文件**），消息列表照搬 DeerFlow 圆桌 +研讨第二步并行多席位的**深色样式与完整结构**（步骤条 / 并行双列 / 席位状态条），支持 +**保存聊天记录 + 回显**与**重新分析**。 + +## 开发调试 + +```bash +pnpm install +pnpm dev # http://localhost:5183 ，填后端 baseUrl / token / 智能体 id 即可联调 +``` + +后端需要一个跑着的 DeerFlow 网关（默认 `http://localhost:8001`），它提供： + +- `POST /api/parallel-agents/run/stream` —— 并行扇出，合并 SSE（事件带 `agent_id`）； +- `/api/parallel-agent-tasks` —— 任务保存 / 回显 CRUD。 + +## 构建为组件库 + +```bash +pnpm build:lib # 产出 dist/parallel-agents-vue.{js,umd.cjs} + dist/parallel-agents-vue.css +``` + +## 嵌入其它 Vue 项目 + +```ts +import { ParallelAgentsPanel } from "parallel-agents-vue"; +import "parallel-agents-vue/style.css"; +``` + +```vue + + +
+ +
+ +``` + +### 接口地址 & 登录 + +- **接口地址**写在配置文件 `src/config.ts` 的 `DEFAULT_BASE_URL`（dev 可用 `VITE_PA_BASE_URL` 覆盖）； + 也可用 `:base-url` prop 覆盖。 +- **登录**：把宿主侧的**用户名**通过 `:username` 传进来即可，组件会自动走 DeerFlow 的 + **免密「用户名登录」**端点（`POST /api/v1/auth/login/username`，公共 + CSRF 豁免）换取 token + 并缓存、自动续期（401 重登）。**不需要宿主自己管 token**。 + - 若你已有 token，也可直接传 `:token` / `:get-token`（优先级高于 username）。 + - 若后端开了口令门（`auth_login.username_login.require_password=true`），再传 `:login-password`。 + +### Props + +| prop | 类型 | 说明 | +| --------------- | -------------------------------------- | ----------------------------------------------------- | +| `agents` | `{agent_id,name,avatarType?}[]`（必填）| 要并行调用的智能体 | +| `username` | `string` | 免密自动登录用户名（推荐方式，宿主自己传） | +| `baseUrl` | `string` | 后端地址；不传用 `config.ts` 默认 | +| `token` | `string` | 已有 Bearer token（与 `username` 二选一，优先） | +| `getToken` | `() => string \| Promise` | 动态取 token | +| `loginPassword` | `string` | 仅当后端开启口令门时需要 | +| `taskId` | `string` | 传入则挂载时自动加载并回显该已保存任务 | +| `model` | `string` | 可选模型名（不传用 `config.ts` 默认 / 后端回退） | +| `dark` | `boolean`（默认 `true`） | 深色面板（自带成色，不依赖宿主主题） | + +### 事件 + +- `@saved="(task) => ..."` —— 保存成功（含新建/更新）后回传 `SavedTask`。 +- `@update:taskId="(id) => ..."` —— 当前任务 id 变化（保存 / 加载历史时）。 + +> 样式作用域全部包在根类 `.parallel-agents` 下，且**不引入 Tailwind preflight**，不会污染宿主全局样式。 diff --git a/parallel-agents-vue/docs/00-测试说明.md b/parallel-agents-vue/docs/00-测试说明.md new file mode 100644 index 00000000..d762c1e4 --- /dev/null +++ b/parallel-agents-vue/docs/00-测试说明.md @@ -0,0 +1,47 @@ +# 并行多智能体面板 · 测试用例总览 + +本目录是 `parallel-agents-vue` 的**手工测试用例**（Markdown）。覆盖：并行调用与流式、文件写入禁用、 +保存与回显、重新分析、免密登录与鉴权、嵌入与深色样式。 + +## 用例清单 + +| 文件 | 主题 | +| -------------------------------------------- | ------------------------------------- | +| [01-并行调用与流式.md](./01-并行调用与流式.md) | 并行扇出、流式输出、步骤条、席位状态条、禁写文件 | +| [02-保存与回显.md](./02-保存与回显.md) | 保存聊天记录、历史列表、加载回显、更新保存 | +| [03-重新分析.md](./03-重新分析.md) | 重新分析（覆盖重跑）、停止、空输入校验 | +| [04-免密登录与鉴权.md](./04-免密登录与鉴权.md) | username 免密登录、token 优先级、401 重登、口令门 | +| [05-嵌入与深色样式.md](./05-嵌入与深色样式.md) | 配置文件接口地址、抽屉/弹窗嵌入、深色自适应、不污染宿主 | +| [06-可用智能体清单.md](./06-可用智能体清单.md) | **测试用真实 agent_id 清单（可直接复制粘贴）** + 示例任务 | +| [07-使用说明.md](./07-使用说明.md) | **在其它 Vue 项目中引入哪些组件、如何使用**（props/事件/嵌入） | + +## 测试环境 + +| 组件 | 地址 / 命令 | +| --------------- | ------------------------------------------------------ | +| DeerFlow 后端 | `http://localhost:8001`（`make dev`，需含本功能的新路由）| +| Vue dev demo | `http://localhost:5183`（`pnpm dev`） | +| 接口地址配置 | `src/config.ts` 的 `DEFAULT_BASE_URL` | + +## 前置准备（所有用例通用） + +1. 后端已启动，且包含本功能： + - `POST /api/parallel-agents/run/stream`（并行扇出，合并 SSE） + - `GET/POST/PUT/DELETE /api/parallel-agent-tasks`（任务保存/回显） + - `POST /api/v1/auth/login/username`（免密登录，公共） + - 数据表 `parallel_agent_tasks` 已建（`alembic upgrade head` 或 `create_all`）。 +2. 至少准备 **2 个真实存在的 agent_id**（必须是后端注册过的真实 id，不能只写名字）。 + 本环境可直接用：`roundtable-solution-design`（方案设计）、`roundtable-risk-review`（风险审查）等 + —— 完整可复制清单见 [06-可用智能体清单.md](./06-可用智能体清单.md)。 +3. 打开 dev demo `http://localhost:5183`，填： + - 后端 baseUrl：`http://localhost:8001` + - 用户名：`demo`（免密自动登录） + - 智能体：每行 `agent_id, 显示名` + 点「打开面板（弹窗内）」。 + +## 用例字段约定 + +- **用例ID**：`PA-<模块>-<序号>` +- **优先级**：P0（核心，必过）/ P1（重要）/ P2（边界） +- **前置条件 → 操作步骤 → 预期结果**：逐条核对，全部命中才算通过。 +- **结果记录**：建议在「实际结果 / 通过?」列里回填。 diff --git a/parallel-agents-vue/docs/01-并行调用与流式.md b/parallel-agents-vue/docs/01-并行调用与流式.md new file mode 100644 index 00000000..5a736d00 --- /dev/null +++ b/parallel-agents-vue/docs/01-并行调用与流式.md @@ -0,0 +1,105 @@ +# 测试用例 · 并行调用与流式 + +覆盖：并行扇出多个智能体、流式逐字输出、步骤条（工具调用）、点头像切换显示（单选）、席位状态条、 +运行期间**禁止写文件**。 + +--- + +## PA-RUN-01 · 并行调用多个智能体（P0） + +**前置条件** +- 面板已打开，填入任务名「竞品调研」、简介「对比 A、B 两款产品的核心功能与定价」。 +- 传入 2 个智能体（情报收集、风险审查）。 + +**操作步骤** +1. 点击「开始分析」。 + +**预期结果** +- 顶部出现**席位状态条**，显示「并行 2 席」，两个席位头像角标先后转为「进行中」（转圈）。 +- 两个智能体**同时**开始执行（并行，而非一个跑完再跑下一个）——可在状态条上看到都在「进行中」。 +- 会话区每次显示**一个**席位的消息列表（默认第 1 个），点头像可切换查看另一个（见 PA-RUN-06）。 +- 气泡头部显示：头像、智能体名、状态徽标「并行执行中」、时间。 + +--- + +## PA-RUN-02 · 流式逐字输出 + 光标（P0） + +**前置条件**：PA-RUN-01 正在运行中。 + +**操作步骤** +1. 观察当前显示席位的气泡正文（点头像可切换看其它席位）。 + +**预期结果** +- 正文**逐步增量**出现（流式），不是一次性整段刷出。 +- 正在输出的气泡末尾有**闪烁光标**（`.pa-cursor`）。 +- 内容还没来时，显示 loading 占位（转圈 + 跳动圆点 + 「并行执行中」文案）。 +- Markdown 能正确渲染（标题/列表/代码块/表格按 `.pa-md` 样式）。 + +--- + +## PA-RUN-03 · 步骤条（思维链 / 工具调用）（P1） + +**前置条件**：智能体会调用工具（如检索类技能）。 + +**操作步骤** +1. 运行一轮，观察气泡顶部的「执行步骤」折叠卡。 + +**预期结果** +- 出现「执行步骤（N）」折叠卡（`MessageStepsCard`），点击可展开/收起。 +- 每条步骤显示：工具标签（如「调用工具 xxx」）、参数摘要（如有 `path` 优先显示）、时间。 +- 同一工具调用**不重复**出条目（按 key 去重）。 +- 若智能体本轮不调工具，则不出现步骤卡（属正常）。 + +--- + +## PA-RUN-04 · 席位状态流转（P1） + +**操作步骤** +1. 运行一轮，全程观察席位状态条各头像角标。 + +**预期结果** +- 角标状态依次：灰（pending）→ 蓝色转圈（running）→ 绿色对勾（done）。 +- 某智能体失败时其角标变**红色叉**（error），且对应气泡显示「该智能体执行出错：…」、状态徽标「出错」。 +- 单个智能体失败**不影响**其它智能体继续完成（互不拖累）。 +- 全部结束后，运行按钮从「停止」恢复为「重新分析」。 + +--- + +## PA-RUN-05 · 运行期间禁止写文件（P0） + +**目的**：核对后端 `seat_parallel` 策略生效——并行席位被禁用 `write_file` / `str_replace` / `bash` 等。 + +**操作步骤** +1. 简介里**故意要求写文件**，例如：「请把结果保存成一个 .md 文件」。 +2. 点击「开始分析」，等待完成。 + +**预期结果** +- 智能体**不会**真正落地文件，产出**直接呈现在气泡正文**里。 +- 步骤条里**不出现** `write_file` / `bash` / `str_replace` 工具调用（被策略排除）。 +- 可旁证：后端日志中该席位 `role=seat_parallel`。 + +--- + +## PA-RUN-06 · 点头像切换显示（单选）（P1） + +**前置条件**：传入 ≥2 个智能体并运行。 + +**操作步骤** +1. 点击席位状态条上的某个头像。 + +**预期结果** +- 主区**切换为只显示**该智能体的消息列表（**单选**，每次显示一个）。 +- 被选中的头像高亮（外发光描边）；再点别的头像即切到那个。 +- 切换不影响后台并行执行：未显示的智能体仍在跑/已完成，其增量在切回时能看到。 +- 默认显示第 1 个席位。 + +--- + +## PA-RUN-07 · 后端不可达 / 智能体 id 非法（P2） + +**操作步骤** +1. 把 baseUrl 改成一个打不通的地址，或传入不存在的 agent_id，点「开始分析」。 + +**预期结果** +- 顶部出现红色错误提示（请求失败信息），不白屏、不卡死。 +- 非法 agent_id 时，对应席位以 error 角标 + 出错气泡呈现，其它正常席位不受影响。 diff --git a/parallel-agents-vue/docs/02-保存与回显.md b/parallel-agents-vue/docs/02-保存与回显.md new file mode 100644 index 00000000..cb3298fa --- /dev/null +++ b/parallel-agents-vue/docs/02-保存与回显.md @@ -0,0 +1,94 @@ +# 测试用例 · 保存与回显 + +覆盖：保存聊天记录（新建/更新）、历史列表、加载已存任务并回显、`taskId` 自动加载、跨刷新持久化。 + +--- + +## PA-SAVE-01 · 首次保存（新建）（P0） + +**前置条件**：已跑完一轮、会话区有结果。任务名「竞品调研」。 + +**操作步骤** +1. 点击「保存」。 + +**预期结果** +- 按钮短暂显示「保存中…」，成功后变为「更新保存」（说明已绑定 taskId）。 +- 触发 `@saved` 事件，回传 `SavedTask`（含 id、title、agents、messages）。 +- 「历史」下拉里出现这条记录（标题 + 更新时间）。 +- 后端 `parallel_agent_tasks` 表新增一行（owner = 当前登录用户）。 + +--- + +## PA-SAVE-02 · 再次保存（更新覆盖）（P0） + +**前置条件**：PA-SAVE-01 已保存、当前仍是同一任务。 + +**操作步骤** +1. 修改任务名 / 简介，或重新分析得到新结果。 +2. 点击「更新保存」。 + +**预期结果** +- **不新增**记录，而是更新原 taskId 那条（title / brief / agents / messages 被覆盖为最新）。 +- 历史列表里该条的更新时间刷新、排到最前。 + +--- + +## PA-SAVE-03 · 历史加载并回显（P0） + +**前置条件**：历史里至少有 1 条已保存任务。 + +**操作步骤** +1. 点击「历史 ▾」展开列表。 +2. 选择一条历史任务。 + +**预期结果** +- 任务名、简介**回填**为该任务保存时的值。 +- 会话区**完整回显**保存时的消息列表（各智能体气泡、正文、步骤条），且**均为非流式终态**（无光标、无 loading）。 +- 席位状态条据消息重建：正常席位显示 done（绿勾），出错的显示 error（红叉）。 +- 当前 taskId 切换为该任务（再点「保存」是「更新保存」该条）。 + +--- + +## PA-SAVE-04 · taskId 进入即自动回显（P1） + +**操作步骤** +1. 以 `:task-id="<已存在任务id>"` 方式挂载面板（嵌入场景）。 + +**预期结果** +- 面板挂载后**自动加载**该任务并回显（等同于 PA-SAVE-03 的结果），无需手动点历史。 +- `@update:taskId` 随之触发。 + +--- + +## PA-SAVE-05 · 跨刷新持久化（P1） + +**操作步骤** +1. 保存一条任务后，刷新浏览器（或重开宿主页面）。 +2. 用相同用户名进入，打开历史。 + +**预期结果** +- 历史里仍能看到之前保存的任务（数据存在后端、按用户隔离，非浏览器 localStorage）。 +- 加载后能正常回显。 + +--- + +## PA-SAVE-06 · 无结果时禁止保存（P2） + +**操作步骤** +1. 新开面板、尚未运行任何分析。 + +**预期结果** +- 「保存」按钮**禁用**（无可保存内容）。 +- 运行中也不应因保存导致状态错乱（保存按钮在有结果后才可用）。 + +--- + +## PA-SAVE-07 · 用户隔离（P1） + +**操作步骤** +1. 用户名 A 保存一条任务。 +2. 切换用户名为 B（重新进入面板），打开历史。 + +**预期结果** +- B 的历史里**看不到** A 的任务。 +- B 直接用 A 的 taskId 加载应失败（404 / 无内容），不报错崩溃。 diff --git a/parallel-agents-vue/docs/03-重新分析.md b/parallel-agents-vue/docs/03-重新分析.md new file mode 100644 index 00000000..7a0ef853 --- /dev/null +++ b/parallel-agents-vue/docs/03-重新分析.md @@ -0,0 +1,77 @@ +# 测试用例 · 重新分析与运行控制 + +覆盖：重新分析（覆盖重跑）、运行中停止、空输入校验、运行态按钮切换。 + +--- + +## PA-RE-01 · 重新分析（覆盖重跑）（P0） + +**前置条件**：已跑完一轮、会话区有结果（按钮显示「重新分析」）。 + +**操作步骤** +1. （可选）修改任务名 / 简介。 +2. 点击「重新分析」。 + +**预期结果** +- **清空**上一轮的所有气泡与席位状态，按当前输入**重新并行**调用各智能体。 +- 不会和上一轮结果混在一起（旧消息被替换，不是追加）。 +- 重跑过程与首跑一致（流式、单列消息 + 点头像切换、步骤条、席位状态流转）。 + +--- + +## PA-RE-02 · 运行中按钮为「停止」（P1） + +**操作步骤** +1. 开始分析，运行未结束时观察操作区。 + +**预期结果** +- 运行期间，主按钮显示「停止」（不再是「开始/重新分析」）。 +- 「保存」按钮在运行中可点（保存当前已产出的内容）或按实现禁用——以不报错为准。 + +--- + +## PA-RE-03 · 停止当前运行（P0） + +**前置条件**：正在运行中。 + +**操作步骤** +1. 点击「停止」。 + +**预期结果** +- 进行中的请求被取消（AbortController），不再有新增量进来。 +- 仍在 streaming 的气泡被收尾为终态（去掉光标，徽标置「已完成」）。 +- 按钮恢复为「重新分析」，可立即再次发起。 +- 控制台不应出现未捕获的 AbortError 报错（已被吞掉）。 + +--- + +## PA-RE-04 · 空输入校验（P1） + +**操作步骤** +1. 任务名与简介**都留空**，点击「开始分析」。 + +**预期结果** +- 按钮处于**禁用**态，点击无效（`canStart` 为假需任务名或简介至少其一 + 至少一个智能体）。 +- 只填任务名或只填简介，按钮可用。 + +--- + +## PA-RE-05 · 未传智能体（P2） + +**操作步骤** +1. `:agents="[]"`（空数组）挂载面板。 + +**预期结果** +- 操作区显示提示「⚠️ 未传入任何智能体（agents 为空）」。 +- 「开始分析」禁用，不会发起空请求。 + +--- + +## PA-RE-06 · 连续多次重新分析（P2） + +**操作步骤** +1. 连续点击「重新分析」若干次（每次等上一轮结束或中途停止再点）。 + +**预期结果** +- 每次都干净重置 + 重跑，无残留旧气泡、无席位状态错乱。 +- 不出现多份 SSE 叠加导致的内容串列 / 重复。 diff --git a/parallel-agents-vue/docs/04-免密登录与鉴权.md b/parallel-agents-vue/docs/04-免密登录与鉴权.md new file mode 100644 index 00000000..662a6610 --- /dev/null +++ b/parallel-agents-vue/docs/04-免密登录与鉴权.md @@ -0,0 +1,106 @@ +# 测试用例 · 免密登录与鉴权 + +覆盖：username 免密自动登录、token 优先级、token 缓存与 401 重登、口令门、CSRF 绕过。 + +> 背景：面板优先用宿主传入的 token；没有 token 时，用宿主传入的 **username** 走 DeerFlow 公共免密端点 +> `POST /api/v1/auth/login/username` 换取 `access_token`，以 `Authorization: Bearer` 发起后续请求 +> （带 Bearer 会绕过 CSRF）。token 解析优先级：`token` > `getToken` > 缓存 > `username` 登录。 + +--- + +## PA-AUTH-01 · username 免密自动登录（P0） + +**前置条件**：后端 `auth_login.username_login.require_password = false`（默认）。 + +**操作步骤** +1. 只传 `:username="demo"`（不传 token），打开面板。 +2. 开始分析 / 打开历史。 + +**预期结果** +- 面板能正常拉历史、能发起并行流式——说明已用 username 换到 token 并附带在请求头。 +- 旁证（手工 curl）： + ```bash + curl -s -X POST -H "Content-Type: application/json" \ + -d '{"username":"demo"}' http://localhost:8001/api/v1/auth/login/username + # → 返回 {"access_token":"...","token_type":"bearer",...} + ``` + +--- + +## PA-AUTH-02 · token 优先级高于 username（P1） + +**操作步骤** +1. 同时传 `:token="<有效token>"` 和 `:username="demo"`。 +2. 触发请求（开始分析 / 历史）。 + +**预期结果** +- 直接用传入的 `token`（不会再去调登录端点）。 +- `:get-token` 同理优先于 username（动态取 token）。 + +--- + +## PA-AUTH-03 · token 缓存（不重复登录）（P1） + +**操作步骤** +1. 只传 username，先后触发多次请求（拉历史 → 开始分析 → 保存）。 + +**预期结果** +- 登录端点**只调用一次**（首个请求），后续请求复用缓存 token（按 `baseUrl::username` 缓存）。 +- 可在浏览器 Network 面板核对 `login/username` 只出现一次。 + +--- + +## PA-AUTH-04 · 401 自动重登重试（P1） + +**前置条件**：能制造 token 失效（例如等待过期，或后端清理）。 + +**操作步骤** +1. 用 username 登录并缓存 token 后，使其失效，再触发一次 CRUD 请求。 + +**预期结果** +- 首次请求收到 401 → 面板**清缓存并用 username 重登一次**，再自动重试该请求。 +- 用户无感知（不需手动重新登录），请求最终成功。 + +--- + +## PA-AUTH-05 · 口令门（require_password=true）（P2） + +**前置条件**：后端把 `auth_login.username_login.require_password` 设为 `true`、配置 `password`。 + +**操作步骤** +1. 只传 username、不传 `loginPassword` → 触发请求。 +2. 再传上正确的 `:login-password="<口令>"` → 触发请求。 + +**预期结果** +- 不传口令时：登录返回 401「口令错误」，面板顶部红色错误提示，不崩溃。 +- 传对口令时：登录成功，后续请求正常。 + +--- + +## PA-AUTH-06 · Bearer 绕过 CSRF（P1） + +**目的**：核对带 Bearer 的 POST 不被 CSRF 拦截。 + +**操作步骤（手工 curl 旁证）** +```bash +TOKEN=... # 上面登录拿到的 access_token +# 带 Bearer 的 POST：参数非法应为 400/422，而非 403（403=CSRF 拦截） +curl -s -o /dev/null -w "%{http_code}\n" -X POST \ + -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \ + -d '{}' http://localhost:8001/api/parallel-agents/run/stream +``` + +**预期结果** +- 返回 **400/422**（业务参数校验），**不是 403**——证明 Bearer 已绕过 CSRF。 +- 不带任何鉴权时该 POST 返回 401/403（被拦截），属正常。 + +--- + +## PA-AUTH-07 · 未传 token 且未传 username（P2） + +**操作步骤** +1. 既不传 token / getToken，也不传 username，触发需要鉴权的请求。 + +**预期结果** +- 请求因缺少鉴权失败（401/403），面板给出可读的错误提示（不白屏）。 +- 控制台/提示能反映「缺少 token 且未提供 username，无法登录」之类信息。 diff --git a/parallel-agents-vue/docs/05-嵌入与深色样式.md b/parallel-agents-vue/docs/05-嵌入与深色样式.md new file mode 100644 index 00000000..c6f22d13 --- /dev/null +++ b/parallel-agents-vue/docs/05-嵌入与深色样式.md @@ -0,0 +1,105 @@ +# 测试用例 · 嵌入与深色样式 + +覆盖：接口地址走配置文件、组件库构建产物、嵌入其它 Vue 项目、放进抽屉/弹窗自适应、深色成色、 +不污染宿主全局样式。 + +--- + +## PA-EMBED-01 · 接口地址走配置文件（P0） + +**操作步骤** +1. 不传 `:base-url`，只改 `src/config.ts` 的 `DEFAULT_BASE_URL` 为目标后端地址。 +2. 运行面板触发请求。 + +**预期结果** +- 请求打到配置文件里的地址。 +- 传 `:base-url` prop 时**优先**用 prop（覆盖配置默认）。 +- dev 下设 `VITE_PA_BASE_URL` 环境变量也能覆盖默认。 + +--- + +## PA-EMBED-02 · 组件库构建产物（P0） + +**操作步骤** +```bash +pnpm build:lib +``` + +**预期结果** +- `dist/` 产出：`parallel-agents-vue.js`（ESM）、`parallel-agents-vue.umd.cjs`（UMD）、`parallel-agents-vue.css`。 +- `vue` 被 external（不打进库，由宿主提供）。 +- 构建无报错、无「named + default exports」警告。 + +--- + +## PA-EMBED-03 · 嵌入其它 Vue 项目（P0） + +**操作步骤** +1. 在另一个 Vue3 项目里： + ```ts + import { ParallelAgentsPanel } from "parallel-agents-vue"; + import "parallel-agents-vue/style.css"; + ``` +2. 模板中放置： + ```vue + + ``` + +**预期结果** +- 组件正常渲染、可交互（深色面板，与 demo 一致）。 +- 只需 `:username` + `:agents` 两个 prop 即可跑起来（接口地址走配置）。 +- 也支持 `app.use(ParallelAgentsVue)` 全局注册后用 ``。 + +--- + +## PA-EMBED-04 · 放进抽屉 / 弹窗自适应（P0） + +**操作步骤** +1. 把面板放进宿主的抽屉 / 对话框，外层给一个固定高度容器： + ```vue + +
+ + ``` +2. 改变容器尺寸 / 视口大小。 + +**预期结果** +- 面板**充满容器**（根元素 `h-full w-full flex flex-col min-h-0`），不溢出、不塌缩。 +- 会话区内部独立滚动，输入区与席位条固定不被挤掉。 +- 窄容器下消息列表正常显示、内部滚动，不溢出。 + +--- + +## PA-EMBED-05 · 深色成色自带、与宿主主题无关（P1） + +**操作步骤** +1. 分别在**浅色**宿主页和**深色**宿主页里嵌入面板。 + +**预期结果** +- 面板始终是深蓝深色（自带 `--pa-*` token，作用域在 `.parallel-agents`），不随宿主明暗变化。 +- 文案、徽标、步骤卡、并行列底、滚动条等观感与圆桌 Step2 深色一致。 +- 传 `:dark="false"` 时按实现切换（如未实现浅色则保持深色，至少不报错）。 + +--- + +## PA-EMBED-06 · 不污染宿主全局样式（P0） + +**目的**：核对**未引入 Tailwind preflight**（不重置宿主全局标签样式）。 + +**操作步骤** +1. 在一个有自己样式的宿主页里嵌入面板（页面有 `h1/p/button/ul` 等默认样式）。 + +**预期结果** +- 嵌入后，宿主页面**自身**的 `h1/p/button/列表/边距` 等样式**不被改变**（没有被 Tailwind 的 reset 抹平）。 +- 面板内部样式正常（不依赖宿主提供 Tailwind）。 +- 类名都在 `.parallel-agents` 作用域下，不与宿主类名冲突。 + +--- + +## PA-EMBED-07 · 多实例并存（P2） + +**操作步骤** +1. 同一页面放置 2 个面板实例（不同 agents / 不同 username）。 + +**预期结果** +- 两个实例各自独立运行、各自保存/回显，互不串流、互不串 token 缓存（缓存按 `baseUrl::username` 区分）。 diff --git a/parallel-agents-vue/docs/06-可用智能体清单.md b/parallel-agents-vue/docs/06-可用智能体清单.md new file mode 100644 index 00000000..a5d5f6a1 --- /dev/null +++ b/parallel-agents-vue/docs/06-可用智能体清单.md @@ -0,0 +1,73 @@ +# 测试用 · 可用智能体清单（可直接复制粘贴） + +测试时面板需要传入**真实存在的 `agent_id`**（后端真正拿去跑的标识，不能只写名字）。 +下面是当前后端里**可直接用于测试**的内置智能体（已排除 intent / recommender / coordinator 这些系统角色）。 + +> 注：`name` 只是显示用、可省略；`agent_id` 必须照抄。下列为本环境实测可用的内置智能体； +> 你部署里的智能体可能不同，用文末方法自查。 + +## 可用智能体 + +| agent_id | 显示名 | +| --------------------------- | -------- | +| `roundtable-solution-design`| 方案设计 | +| `roundtable-risk-review` | 风险审查 | +| `roundtable-execution-plan` | 执行规划 | +| `roundtable-report` | 方案总结 | +| `demo-expert` | 演示专家 | + +## A. 粘贴进 dev demo 页「智能体」输入框（每行 `agent_id, 显示名`） + +推荐至少 2 个以便点头像切换查看不同智能体： + +``` +roundtable-solution-design, 方案设计 +roundtable-risk-review, 风险审查 +``` + +想多看几列就多贴几行： + +``` +roundtable-solution-design, 方案设计 +roundtable-risk-review, 风险审查 +roundtable-execution-plan, 执行规划 +``` + +## B. 粘贴进组件 `:agents` prop（嵌入场景） + +```ts +const agents = [ + { agent_id: "roundtable-solution-design", name: "方案设计" }, + { agent_id: "roundtable-risk-review", name: "风险审查" }, + { agent_id: "roundtable-execution-plan", name: "执行规划" }, +]; +``` + +```vue + +``` + +## C. 配一个示例任务（直接粘贴到面板） + +- **任务名称**：`新功能上线方案评估` +- **任务简介**： + ``` + 我们要给 App 上线「扫码点餐」功能。请从你的专业角度，评估方案可行性、列出关键风险、 + 并给出落地步骤与里程碑。 + ``` + +## 自查：列出你部署里所有可用的 agent_id + +```bash +# 1) 免密登录拿 token（用户名换成你的） +TOKEN=$(curl -s -X POST -H "Content-Type: application/json" \ + -d '{"username":"demo"}' http://localhost:8001/api/v1/auth/login/username \ + | python -c "import sys,json;print(json.load(sys.stdin)['access_token'])") + +# 2) 列出 agent_id name +curl -s -H "Authorization: Bearer $TOKEN" http://localhost:8001/api/agents -o agents.json +python -c "import json,io;[print(a['id'],'\t',a['name']) for a in json.load(io.open('agents.json',encoding='utf-8')).get('agents',[])]" +``` + +第一列 `id` 才是要填的 `agent_id`。挑你需要的智能体即可（避开 `roundtable-intent` / +`roundtable-recommender` / `roundtable-coordinator*` 这些系统角色——它们不是用来当并行席位的）。 diff --git a/parallel-agents-vue/docs/07-使用说明.md b/parallel-agents-vue/docs/07-使用说明.md new file mode 100644 index 00000000..3d11b05e --- /dev/null +++ b/parallel-agents-vue/docs/07-使用说明.md @@ -0,0 +1,163 @@ +# 使用说明 · 在其它 Vue 项目中引入 + +本组件库只对外暴露**一个**组件 `ParallelAgentsPanel`（其余 `MessageBubble` / `MessageStepsCard` / +`ParallelSeatStrip` / `Avatar` / `MarkdownContent` 都是它的内部子组件，**无需也不要单独引入**）。 +宿主只管把它放进自己的页面 / 抽屉 / 弹窗，并传几个 prop。 + +--- + +## 一、要引入的东西（就这两样） + +1. **组件**：`ParallelAgentsPanel` +2. **样式**：`parallel-agents-vue/style.css`（一次性引入即可，样式作用域全在 `.parallel-agents` 下） + +> 依赖说明：`vue ^3.4`（宿主提供，库不打包 vue）；`markdown-it` 已打进库内，无需宿主安装。 + +--- + +## 二、两种引入方式 + +### 方式 A：构建成库后按包引入（推荐） + +1. 在本项目构建： + ```bash + pnpm install + pnpm build:lib # 产出 dist/parallel-agents-vue.{js,umd.cjs,css} + ``` +2. 宿主项目里安装（任选其一）： + - 把本目录作为本地依赖：`"parallel-agents-vue": "file:../parallel-agents-vue"`； + - 或发到你们的私有 npm 后正常 `pnpm add parallel-agents-vue`。 +3. 代码里引入： + ```ts + import { ParallelAgentsPanel } from "parallel-agents-vue"; + import "parallel-agents-vue/style.css"; + ``` + +### 方式 B：直接拷贝源码（无需发包） + +把本项目 `src/` 下这些拷进宿主项目（保持相对结构），按相对路径引入 `ParallelAgentsPanel.vue` + +`styles/parallel-agents.css` 即可： + +``` +src/ + components/ ParallelAgentsPanel.vue · MessageBubble.vue · MessageStepsCard.vue + ParallelSeatStrip.vue · Avatar.vue · MarkdownContent.vue + composables/ useParallelRun.ts + lib/ avatar-constants.ts + styles/ parallel-agents.css + api.ts · config.ts · types.ts +``` +宿主需有 `markdown-it` 依赖（`pnpm add markdown-it`），并保证构建支持 `.vue`（Vite/@vitejs/plugin-vue）。 + +--- + +## 三、注册与使用 + +### 局部引入（推荐） + +```vue + + + +``` + +### 全局注册（可选） + +```ts +import ParallelAgentsVue from "parallel-agents-vue"; +import "parallel-agents-vue/style.css"; +app.use(ParallelAgentsVue); // 之后任意模板可直接用 +``` + +--- + +## 四、放进抽屉 / 弹窗 + +组件根元素是 `h-full w-full flex flex-col min-h-0`，会**充满父容器**。所以**父容器要给一个高度** +（弹窗/抽屉本身有高度即可）： + +```vue + +
+ +
+ +``` + +--- + +## 五、接口地址与登录 + +- **接口地址**：默认读 `src/config.ts` 的 `DEFAULT_BASE_URL`（可改源码，或 dev 设 `VITE_PA_BASE_URL`）； + 也可用 `:base-url` prop 临时覆盖。 +- **登录**：把宿主的**用户名**用 `:username` 传进来即可——组件自动走 DeerFlow 免密登录端点换 token、 + 缓存、401 自动重登。**宿主不用管 token**。若已有 token，可改传 `:token` / `:get-token`（优先级更高）。 +- token 缓存按 `baseUrl::username` 维度，多个实例/多用户互不串。 + +--- + +## 六、Props + +| prop | 类型 | 必填 | 说明 | +| --------------- | --------------------------------------- | :--: | ----------------------------------------------- | +| `agents` | `{ agent_id, name, avatarType? }[]` | ✔ | 要并行调用的智能体（`agent_id` 必须是真实 id） | +| `username` | `string` | | 免密自动登录用户名（推荐方式） | +| `baseUrl` | `string` | | 后端地址；不传用 `config.ts` 默认 | +| `token` | `string` | | 已有 Bearer token（优先于 username） | +| `getToken` | `() => string \| Promise` | | 动态取 token | +| `loginPassword` | `string` | | 仅当后端开启口令门时需要 | +| `taskId` | `string` | | 传入则挂载时自动加载并回显该任务 | +| `model` | `string` | | 可选模型名（不传走默认 / 后端回退） | +| `dark` | `boolean`（默认 `true`） | | 深色面板（自带成色，不依赖宿主主题） | + +`AgentInput`/`SavedTask` 等类型也从包里导出：`import type { AgentInput, SavedTask } from "parallel-agents-vue"`。 + +## 七、事件 + +| 事件 | 载荷 | 触发时机 | +| ----------------- | ------------ | --------------------------------------- | +| `saved` | `SavedTask` | 保存成功（新建或更新）后 | +| `update:taskId` | `string` | 当前任务 id 变化（保存 / 加载历史时） | + +```vue + +``` + +--- + +## 八、交互要点（与圆桌 Step2 一致） + +- 输入「任务名称 + 简介」→「开始分析」→ 各智能体**并行**输出，运行期间**禁止写文件**（产出走正文）。 +- 主区每次只显示**一个**席位的消息列表；**点席位头像切换**要看哪个（单选）。 +- 顶部席位状态条显示每个智能体的进行中 / 完成 / 出错。 +- 操作区右侧有**模型切换**下拉（拉取后端 `/api/models`）；选「默认」则用 `model` prop / 配置 / 后端回退。 + 切换作用于**下一次**「开始分析 / 重新分析」，运行中禁用。 +- 「保存」存档；「历史」里选回**回显**；「重新分析」清空重跑。 + +--- + +## 九、注意事项 + +- **不会污染宿主全局样式**：库未引入 Tailwind preflight，类名都在 `.parallel-agents` 作用域内。 +- **深色自带成色**：面板始终深蓝深色，不随宿主明暗切换（与圆桌 Step2 观感一致）。 +- **跨域**：若宿主与后端不同源，后端需允许该来源的 CORS + 带 `credentials`；登录端点公共且 CSRF 豁免， + 业务请求用 Bearer 头已绕过 CSRF。 +- **agent_id 必须真实**：见 [06-可用智能体清单.md](./06-可用智能体清单.md) 获取可用 id 与自查方法。 diff --git a/parallel-agents-vue/index.html b/parallel-agents-vue/index.html new file mode 100644 index 00000000..f213f6ce --- /dev/null +++ b/parallel-agents-vue/index.html @@ -0,0 +1,12 @@ + + + + + + 并行多智能体面板 · Dev + + +
+ + + diff --git a/parallel-agents-vue/package.json b/parallel-agents-vue/package.json new file mode 100644 index 00000000..c7aef0fc --- /dev/null +++ b/parallel-agents-vue/package.json @@ -0,0 +1,41 @@ +{ + "name": "parallel-agents-vue", + "version": "0.1.0", + "description": "并行多智能体面板 —— Vue3 可嵌入组件（输入任务名+简介，并行调用多个智能体，深色消息列表 + 步骤条 + 保存回显 + 重新分析）", + "type": "module", + "main": "./dist/parallel-agents-vue.umd.cjs", + "module": "./dist/parallel-agents-vue.js", + "types": "./dist/index.d.ts", + "exports": { + ".": { + "types": "./dist/index.d.ts", + "import": "./dist/parallel-agents-vue.js", + "require": "./dist/parallel-agents-vue.umd.cjs" + }, + "./style.css": "./dist/parallel-agents-vue.css" + }, + "files": ["dist"], + "scripts": { + "dev": "vite", + "build": "vue-tsc --noEmit && vite build", + "build:lib": "vite build --mode lib", + "typecheck": "vue-tsc --noEmit", + "preview": "vite preview" + }, + "peerDependencies": { + "vue": "^3.4.0" + }, + "dependencies": { + "markdown-it": 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