diff --git a/.env.example b/.env.example index ccab7c28e..91a8e9eb6 100644 --- a/.env.example +++ b/.env.example @@ -71,3 +71,7 @@ LANGFLOW_SUPERUSER= # Superuser password # Example: LANGFLOW_SUPERUSER_PASSWORD=123456 LANGFLOW_SUPERUSER_PASSWORD= + +# STORE_URL +# Example: LANGFLOW_STORE_URL=https://langflow.store +LANGFLOW_STORE_URL= \ No newline at end of file diff --git a/.gitignore b/.gitignore index 9b8ec1cc1..0f9c499a0 100644 --- a/.gitignore +++ b/.gitignore @@ -254,4 +254,6 @@ langflow.db /tmp/* src/backend/langflow/frontend/ -.docker \ No newline at end of file +.docker + +.idea \ No newline at end of file diff --git a/Makefile b/Makefile index 51c9d4897..798dcfa00 100644 --- a/Makefile +++ b/Makefile @@ -74,10 +74,10 @@ backend: make install_backend ifeq ($(login),1) @echo "Running backend without autologin"; - poetry run langflow run --backend-only --port 7860 --host 0.0.0.0 --no-open-browser + poetry run langflow run --backend-only --port 7860 --host 0.0.0.0 --no-open-browser --env-file .env else @echo "Running backend with autologin"; - LANGFLOW_AUTO_LOGIN=True poetry run langflow run --backend-only --port 7860 --host 0.0.0.0 --no-open-browser + LANGFLOW_AUTO_LOGIN=True poetry run langflow run --backend-only --port 7860 --host 0.0.0.0 --no-open-browser --env-file .env endif build_and_run: diff --git a/docs/docs/components/llms.mdx b/docs/docs/components/llms.mdx index 088556d2f..412f38681 100644 --- a/docs/docs/components/llms.mdx +++ b/docs/docs/components/llms.mdx @@ -217,4 +217,40 @@ Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). - **top_k:** How the model selects tokens for output, the next token is selected from – defaults to `40`. - **top_p:** Tokens are selected from most probable to least until the sum of their – defaults to `0.95`. - **tuned_model_name:** The name of a tuned model. If provided, model_name is ignored. -- **verbose:** This parameter is used to control the level of detail in the output of the chain. When set to True, it will print out some internal states of the chain while it is being run, which can help debug and understand the chain's behavior. If set to False, it will suppress the verbose output – defaults to `False`. \ No newline at end of file +- **verbose:** This parameter is used to control the level of detail in the output of the chain. When set to True, it will print out some internal states of the chain while it is being run, which can help debug and understand the chain's behavior. If set to False, it will suppress the verbose output – defaults to `False`. + +--- + +### QianfanLLMEndpoint + +Wrapper around [Baidu Qianfan](https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html) large language models. + +:::info +The Qianfan Big Model Platform is a one-stop platform for enterprise developers to develop and operate large models and services. It provides data management based on ERNIE Bot's underlying model (Ernie Bot), automatic model customization and fine-tuning, and one-stop large-scale model customization services for cloud deployment of prediction services, and provides ERNIE Bot's enterprise level service API that can be quickly called, helping to implement the demand for generative AI applications in various industries. +::: + +- **Model Name:** Model name. you could get from https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Nlks5zkzu preset models are mapping to an endpoint. `Model Name` will be ignored if `Endpoint` is set. +- **Qianfan Ak:** which you could get from https://cloud.baidu.com/product/wenxinworkshop. +- **Qianfan Sk:** which you could get from https://cloud.baidu.com/product/wenxinworkshop. +- **Top p:** Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo. The diversity of the output text is affected, and the larger the value, the stronger the diversity of the generated text - defaults to `0.8`. +- **Temperature:** Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo. Higher values make the output more random, while lower values make it more concentrated and deterministic - defaults to `0.95`. +- **Penalty Score:** Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo. By increasing the penalty for generated tokens, the phenomenon of duplicate generation is reduced. A higher value indicates a higher penalty - defaults to `1.0`. +- **Endpoint:** Endpoint of the Qianfan LLM, required if custom model used. + +--- + +### QianfanChatEndpoint + +Wrapper around [Baidu Qianfan](https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html) chat large language models. This component supports some of the LLMs (Large Language Models) available by Baidu qianfan and is used for tasks such as chatbots, Generative Question-Answering (GQA), and summarization. + +:::info +The Qianfan Big Model Platform is a one-stop platform for enterprise developers to develop and operate large models and services. It provides data management based on ERNIE Bot's underlying model (Ernie Bot), automatic model customization and fine-tuning, and one-stop large-scale model customization services for cloud deployment of prediction services, and provides ERNIE Bot's enterprise level service API that can be quickly called, helping to implement the demand for generative AI applications in various industries. +::: + +- **Model Name:** Model name. you could get from https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Nlks5zkzu preset models are mapping to an endpoint. `Model Name` will be ignored if `Endpoint` is set. +- **Qianfan Ak:** which you could get from https://cloud.baidu.com/product/wenxinworkshop. +- **Qianfan Sk:** which you could get from https://cloud.baidu.com/product/wenxinworkshop. +- **Top p:** Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo. The diversity of the output text is affected, and the larger the value, the stronger the diversity of the generated text - defaults to `0.8`. +- **Temperature:** Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo. Higher values make the output more random, while lower values make it more concentrated and deterministic - defaults to `0.95`. +- **Penalty Score:** Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo. By increasing the penalty for generated tokens, the phenomenon of duplicate generation is reduced. A higher value indicates a higher penalty - defaults to `1.0`. +- **Endpoint:** Endpoint of the Qianfan LLM, required if custom model used. \ No newline at end of file diff --git a/poetry.lock b/poetry.lock index ef7f3ee08..4199aa0a5 100644 --- a/poetry.lock +++ b/poetry.lock @@ -14,99 +14,99 @@ files = [ [[package]] name = "aiohttp" -version = "3.8.5" +version = "3.8.6" description = "Async http client/server framework (asyncio)" category = "main" optional = false python-versions = ">=3.6" files = [ - {file = "aiohttp-3.8.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a94159871304770da4dd371f4291b20cac04e8c94f11bdea1c3478e557fbe0d8"}, - {file = "aiohttp-3.8.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:13bf85afc99ce6f9ee3567b04501f18f9f8dbbb2ea11ed1a2e079670403a7c84"}, - {file = "aiohttp-3.8.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2ce2ac5708501afc4847221a521f7e4b245abf5178cf5ddae9d5b3856ddb2f3a"}, - {file = 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"sha256:084072e0a7f5f347ef2ac3d8698a5e0b4ffbfcab607628cadabc650fc9a83a24"}, ] [package.extras] @@ -8505,4 +8870,4 @@ local = ["llama-cpp-python", "sentence-transformers", "ctransformers"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.11" -content-hash = "5ce25b7cded1c79e3fac7d259a4b1120a97fae77b1e7cdb17498fbc4ea29efb4" +content-hash = "307bf0028ee219646de2ae1c839567d0084a59756ccd831484774ed3f24e122e" diff --git a/pyproject.toml b/pyproject.toml index e968f1e79..6d443f937 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -33,7 +33,7 @@ google-search-results = "^2.4.1" google-api-python-client = "^2.79.0" typer = "^0.9.0" gunicorn = "^21.2.0" -langchain = "^0.0.308" +langchain = "^0.0.312" openai = "^0.27.8" pandas = "2.0.3" chromadb = "^0.3.21" @@ -91,6 +91,7 @@ pillow = "^10.0.0" metal-sdk = "^2.2.0" markupsafe = "^2.1.3" numexpr = "^2.8.6" +qianfan = "0.0.5" [tool.poetry.group.dev.dependencies] diff --git a/src/backend/langflow/alembic/versions/7843803a87b5_store_updates.py b/src/backend/langflow/alembic/versions/7843803a87b5_store_updates.py new file mode 100644 index 000000000..ca82479bc --- /dev/null +++ b/src/backend/langflow/alembic/versions/7843803a87b5_store_updates.py @@ -0,0 +1,48 @@ +"""Store updates + +Revision ID: 7843803a87b5 +Revises: eb5866d51fd2 +Create Date: 2023-10-18 23:08:57.744906 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa +import sqlmodel + + +# revision identifiers, used by Alembic. +revision: str = "7843803a87b5" +down_revision: Union[str, None] = "eb5866d51fd2" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + try: + with op.batch_alter_table("flow", schema=None) as batch_op: + batch_op.add_column(sa.Column("is_component", sa.Boolean(), nullable=True)) + + with op.batch_alter_table("user", schema=None) as batch_op: + batch_op.add_column( + sa.Column( + "store_api_key", sqlmodel.sql.sqltypes.AutoString(), nullable=True + ) + ) + except Exception: + pass + + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + with op.batch_alter_table("user", schema=None) as batch_op: + batch_op.drop_column("store_api_key") + + with op.batch_alter_table("flow", schema=None) as batch_op: + batch_op.drop_column("is_component") + + # ### end Alembic commands ### diff --git a/src/backend/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py b/src/backend/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py new file mode 100644 index 000000000..dbf018819 --- /dev/null +++ b/src/backend/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py @@ -0,0 +1,42 @@ +"""User id can be null in Flow + +Revision ID: f5ee9749d1a6 +Revises: 7843803a87b5 +Create Date: 2023-10-18 23:12:27.297016 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa +import sqlmodel + + +# revision identifiers, used by Alembic. +revision: str = "f5ee9749d1a6" +down_revision: Union[str, None] = "7843803a87b5" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + try: + with op.batch_alter_table("flow", schema=None) as batch_op: + batch_op.alter_column( + "user_id", existing_type=sa.CHAR(length=32), nullable=True + ) + except Exception: + pass + + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + with op.batch_alter_table("flow", schema=None) as batch_op: + batch_op.alter_column( + "user_id", existing_type=sa.CHAR(length=32), nullable=False + ) + + # ### end Alembic commands ### diff --git a/src/backend/langflow/api/router.py b/src/backend/langflow/api/router.py index dbaf20e75..b87a24ea3 100644 --- a/src/backend/langflow/api/router.py +++ b/src/backend/langflow/api/router.py @@ -5,7 +5,7 @@ from langflow.api.v1 import ( endpoints_router, validate_router, flows_router, - component_router, + store_router, users_router, api_key_router, login_router, @@ -17,7 +17,7 @@ router = APIRouter( router.include_router(chat_router) router.include_router(endpoints_router) router.include_router(validate_router) -router.include_router(component_router) +router.include_router(store_router) router.include_router(flows_router) router.include_router(users_router) router.include_router(api_key_router) diff --git a/src/backend/langflow/api/v1/__init__.py b/src/backend/langflow/api/v1/__init__.py index 9335a4607..197b9730f 100644 --- a/src/backend/langflow/api/v1/__init__.py +++ b/src/backend/langflow/api/v1/__init__.py @@ -2,7 +2,7 @@ from langflow.api.v1.endpoints import router as endpoints_router from langflow.api.v1.validate import router as validate_router from langflow.api.v1.chat import router as chat_router from langflow.api.v1.flows import router as flows_router -from langflow.api.v1.components import router as component_router +from langflow.api.v1.store import router as store_router from langflow.api.v1.users import router as users_router from langflow.api.v1.api_key import router as api_key_router from langflow.api.v1.login import router as login_router @@ -10,7 +10,7 @@ from langflow.api.v1.login import router as login_router __all__ = [ "chat_router", "endpoints_router", - "component_router", + "store_router", "validate_router", "flows_router", "users_router", diff --git a/src/backend/langflow/api/v1/api_key.py b/src/backend/langflow/api/v1/api_key.py index 7de77389e..4ec6d8175 100644 --- a/src/backend/langflow/api/v1/api_key.py +++ b/src/backend/langflow/api/v1/api_key.py @@ -1,7 +1,7 @@ from uuid import UUID from fastapi import APIRouter, HTTPException, Depends -from langflow.api.v1.schemas import ApiKeysResponse -from langflow.services.auth.utils import get_current_active_user +from langflow.api.v1.schemas import ApiKeysResponse, ApiKeyCreateRequest +from langflow.services.auth import utils as auth_utils from langflow.services.database.models.api_key.api_key import ( ApiKeyCreate, UnmaskedApiKeyRead, @@ -14,9 +14,17 @@ from langflow.services.database.models.api_key.crud import ( delete_api_key, ) from langflow.services.database.models.user.user import User -from langflow.services.deps import get_session +from langflow.services.deps import ( + get_session, + get_settings_service, +) +from typing import TYPE_CHECKING + + from sqlmodel import Session +if TYPE_CHECKING: + pass router = APIRouter(tags=["APIKey"], prefix="/api_key") @@ -24,7 +32,7 @@ router = APIRouter(tags=["APIKey"], prefix="/api_key") @router.get("/", response_model=ApiKeysResponse) def get_api_keys_route( db: Session = Depends(get_session), - current_user: User = Depends(get_current_active_user), + current_user: User = Depends(auth_utils.get_current_active_user), ): try: user_id = current_user.id @@ -38,7 +46,7 @@ def get_api_keys_route( @router.post("/", response_model=UnmaskedApiKeyRead) def create_api_key_route( req: ApiKeyCreate, - current_user: User = Depends(get_current_active_user), + current_user: User = Depends(auth_utils.get_current_active_user), db: Session = Depends(get_session), ): try: @@ -51,7 +59,7 @@ def create_api_key_route( @router.delete("/{api_key_id}") def delete_api_key_route( api_key_id: UUID, - current_user=Depends(get_current_active_user), + current_user=Depends(auth_utils.get_current_active_user), db: Session = Depends(get_session), ): try: @@ -59,3 +67,22 @@ def delete_api_key_route( return {"detail": "API Key deleted"} except Exception as e: raise HTTPException(status_code=400, detail=str(e)) from e + + +@router.post("/store") +def save_store_api_key( + api_key: ApiKeyCreateRequest, + current_user: User = Depends(auth_utils.get_current_active_user), + db: Session = Depends(get_session), + settings_service=Depends(get_settings_service), +): + try: + # Encrypt the API key + encrypted = auth_utils.encrypt_api_key( + api_key, fernet=auth_utils.get_fernet(settings_service) + ) + current_user.store_api_key = encrypted + db.commit() + return {"detail": "API Key saved"} + except Exception as e: + raise HTTPException(status_code=400, detail=str(e)) from e diff --git a/src/backend/langflow/api/v1/components.py b/src/backend/langflow/api/v1/components.py deleted file mode 100644 index 9ac5b9a7f..000000000 --- a/src/backend/langflow/api/v1/components.py +++ /dev/null @@ -1,77 +0,0 @@ -from datetime import timezone -from typing import List -from uuid import UUID -from langflow.services.database.models.component import Component, ComponentModel -from langflow.services.deps import get_session -from sqlmodel import Session, select -from fastapi import APIRouter, Depends, HTTPException -from sqlalchemy.exc import IntegrityError -from datetime import datetime - - -COMPONENT_NOT_FOUND = "Component not found" -COMPONENT_ALREADY_EXISTS = "A component with the same id already exists." -COMPONENT_DELETED = "Component deleted" - - -router = APIRouter(prefix="/components", tags=["Components"]) - - -@router.post("/", response_model=Component) -def create_component(component: ComponentModel, db: Session = Depends(get_session)): - db_component = Component(**component.dict()) - try: - db.add(db_component) - db.commit() - db.refresh(db_component) - except IntegrityError as e: - db.rollback() - raise HTTPException( - status_code=400, - detail=COMPONENT_ALREADY_EXISTS, - ) from e - return db_component - - -@router.get("/{component_id}", response_model=Component) -def read_component(component_id: UUID, db: Session = Depends(get_session)): - if component := db.get(Component, component_id): - return component - else: - raise HTTPException(status_code=404, detail=COMPONENT_NOT_FOUND) - - -@router.get("/", response_model=List[Component]) -def read_components(skip: int = 0, limit: int = 50, db: Session = Depends(get_session)): - query = select(Component) - query = query.offset(skip).limit(limit) - - return db.execute(query).fetchall() - - -@router.patch("/{component_id}", response_model=Component) -def update_component( - component_id: UUID, component: ComponentModel, db: Session = Depends(get_session) -): - db_component = db.get(Component, component_id) - if not db_component: - raise HTTPException(status_code=404, detail=COMPONENT_NOT_FOUND) - component_data = component.dict(exclude_unset=True) - - for key, value in component_data.items(): - setattr(db_component, key, value) - - db_component.update_at = datetime.now(timezone.utc) - db.commit() - db.refresh(db_component) - return db_component - - -@router.delete("/{component_id}") -def delete_component(component_id: UUID, db: Session = Depends(get_session)): - component = db.get(Component, component_id) - if not component: - raise HTTPException(status_code=404, detail=COMPONENT_NOT_FOUND) - db.delete(component) - db.commit() - return {"detail": COMPONENT_DELETED} diff --git a/src/backend/langflow/api/v1/schemas.py b/src/backend/langflow/api/v1/schemas.py index 37e7d712d..73e45d673 100644 --- a/src/backend/langflow/api/v1/schemas.py +++ b/src/backend/langflow/api/v1/schemas.py @@ -198,3 +198,7 @@ class Token(BaseModel): access_token: str refresh_token: str token_type: str + + +class ApiKeyCreateRequest(BaseModel): + api_key: str diff --git a/src/backend/langflow/api/v1/store.py b/src/backend/langflow/api/v1/store.py new file mode 100644 index 000000000..fe7f6712d --- /dev/null +++ b/src/backend/langflow/api/v1/store.py @@ -0,0 +1,120 @@ +from typing import List, Optional +from uuid import UUID +from langflow.services.auth import utils as auth_utils +from langflow.services.database.models.flow.flow import Flow +from langflow.services.database.models.user.user import User +from langflow.services.deps import ( + get_session, + get_store_service, + get_settings_service, +) +from langflow.services.store.schema import ComponentResponse + +from fastapi import APIRouter, Depends, HTTPException, Query +from datetime import datetime + +from langflow.services.store.service import StoreService + + +router = APIRouter(prefix="/store", tags=["Components Store"]) + + +@router.post("/", response_model=ComponentResponse) +def create_component( + component: Flow, + store_service: StoreService = Depends(get_store_service), + user=Depends(auth_utils.get_current_active_user), + settings_service=Depends(get_settings_service), +): + try: + api_key = user.store_api_key + decrypted = auth_utils.decrypt_api_key(api_key, settings_service) + return store_service.upload(decrypted, component.dict()) + except Exception as exc: + raise HTTPException(status_code=400, detail=str(exc)) + + +@router.get("/{component_id}", response_model=ComponentResponse) +def read_component( + component_id: UUID, + store_service: StoreService = Depends(get_store_service), + user: User = Depends(auth_utils.get_current_active_user), + session=Depends(get_session), +): + if not user.store_api_key: + raise HTTPException( + status_code=400, detail="You must have a store API key set." + ) + # If the component is from the store, we need to get it from the store + try: + api_key = user.store_api_key + component = store_service.get(api_key, component_id) + if component is not None: + # Turn component into a Flow + required_fields = ["data", "name", "description", "is_component"] + if all(field in component for field in required_fields): + component = Flow( + name=component["name"], + description=component["description"], + data=component["data"], + user_id=user.id, + ) + session.add(component) + session.commit() + session.refresh(component) + except Exception as exc: + raise HTTPException(status_code=400, detail=str(exc)) from exc + + if component is None: + raise HTTPException(status_code=400, detail="Component not found") + return component + + +@router.get("/", response_model=List[ComponentResponse]) +def list_components( + page: int = 1, + limit: int = 10, + store_service: StoreService = Depends(get_store_service), + user=Depends(auth_utils.get_current_active_user), + settings_service=Depends(get_settings_service), +): + if user.store_api_key: + decrypted = auth_utils.decrypt_api_key(user.store_api_key, settings_service) + else: + decrypted = None + return store_service.list_components(decrypted, page, limit) + + +@router.get("/search", response_model=List[ComponentResponse]) +async def search_endpoint( + api_key: Optional[str] = Query(None), + query: str = Query(...), + page: int = Query(1), + limit: int = Query(10), + status: Optional[str] = Query(None), + tags: Optional[List[str]] = Query(None), + date_from: Optional[datetime] = Query(None), + date_to: Optional[datetime] = Query(None), + sort_by: Optional[str] = Query("likes"), + sort: Optional[List[str]] = Query(None), + fields: Optional[List[str]] = Query(None), + store_service: "StoreService" = Depends(get_store_service), +): + try: + return await store_service.search( + api_key=api_key, + query=query, + page=page, + limit=limit, + status=status, + tags=tags, + date_from=date_from, + date_to=date_to, + sort_by=sort_by, + sort=sort, + fields=fields, + ) + except Exception as exc: + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(exc) + ) diff --git a/src/backend/langflow/components/llms/BaiduQianfanChatEndpoints.py b/src/backend/langflow/components/llms/BaiduQianfanChatEndpoints.py new file mode 100644 index 000000000..1ea679b47 --- /dev/null +++ b/src/backend/langflow/components/llms/BaiduQianfanChatEndpoints.py @@ -0,0 +1,92 @@ +from typing import Optional +from langflow import CustomComponent +from langchain.chat_models.baidu_qianfan_endpoint import QianfanChatEndpoint +from langchain.llms.base import BaseLLM + + +class QianfanChatEndpointComponent(CustomComponent): + display_name: str = "QianfanChatEndpoint" + description: str = ( + "Baidu Qianfan chat models. Get more detail from " + "https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint." + ) + + def build_config(self): + return { + "model": { + "display_name": "Model Name", + "options": [ + "ERNIE-Bot", + "ERNIE-Bot-turbo", + "BLOOMZ-7B", + "Llama-2-7b-chat", + "Llama-2-13b-chat", + "Llama-2-70b-chat", + "Qianfan-BLOOMZ-7B-compressed", + "Qianfan-Chinese-Llama-2-7B", + "ChatGLM2-6B-32K", + "AquilaChat-7B", + ], + "info": "https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint", + "required": True, + }, + "qianfan_ak": { + "display_name": "Qianfan Ak", + "required": True, + "password": True, + "info": "which you could get from https://cloud.baidu.com/product/wenxinworkshop", + }, + "qianfan_sk": { + "display_name": "Qianfan Sk", + "required": True, + "password": True, + "info": "which you could get from https://cloud.baidu.com/product/wenxinworkshop", + }, + "top_p": { + "display_name": "Top p", + "field_type": "float", + "info": "Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo", + "value": 0.8, + }, + "temperature": { + "display_name": "Temperature", + "field_type": "float", + "info": "Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo", + "value": 0.95, + }, + "penalty_score": { + "display_name": "Penalty Score", + "field_type": "float", + "info": "Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo", + "value": 1.0, + }, + "endpoint": { + "display_name": "Endpoint", + "info": "Endpoint of the Qianfan LLM, required if custom model used.", + }, + "code": {"show": False}, + } + + def build( + self, + model: str = "ERNIE-Bot-turbo", + qianfan_ak: Optional[str] = None, + qianfan_sk: Optional[str] = None, + top_p: Optional[float] = None, + temperature: Optional[float] = None, + penalty_score: Optional[float] = None, + endpoint: Optional[str] = None, + ) -> BaseLLM: + try: + output = QianfanChatEndpoint( # type: ignore + model=model, + qianfan_ak=qianfan_ak, + qianfan_sk=qianfan_sk, + top_p=top_p, + temperature=temperature, + penalty_score=penalty_score, + endpoint=endpoint, + ) + except Exception as e: + raise ValueError("Could not connect to Baidu Qianfan API.") from e + return output # type: ignore diff --git a/src/backend/langflow/components/llms/BaiduQianfanLLMEndpoints.py b/src/backend/langflow/components/llms/BaiduQianfanLLMEndpoints.py new file mode 100644 index 000000000..786c4516b --- /dev/null +++ b/src/backend/langflow/components/llms/BaiduQianfanLLMEndpoints.py @@ -0,0 +1,92 @@ +from typing import Optional +from langflow import CustomComponent +from langchain.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint +from langchain.llms.base import BaseLLM + + +class QianfanLLMEndpointComponent(CustomComponent): + display_name: str = "QianfanLLMEndpoint" + description: str = ( + "Baidu Qianfan hosted open source or customized models. " + "Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint" + ) + + def build_config(self): + return { + "model": { + "display_name": "Model Name", + "options": [ + "ERNIE-Bot", + "ERNIE-Bot-turbo", + "BLOOMZ-7B", + "Llama-2-7b-chat", + "Llama-2-13b-chat", + "Llama-2-70b-chat", + "Qianfan-BLOOMZ-7B-compressed", + "Qianfan-Chinese-Llama-2-7B", + "ChatGLM2-6B-32K", + "AquilaChat-7B", + ], + "info": "https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint", + "required": True, + }, + "qianfan_ak": { + "display_name": "Qianfan Ak", + "required": True, + "password": True, + "info": "which you could get from https://cloud.baidu.com/product/wenxinworkshop", + }, + "qianfan_sk": { + "display_name": "Qianfan Sk", + "required": True, + "password": True, + "info": "which you could get from https://cloud.baidu.com/product/wenxinworkshop", + }, + "top_p": { + "display_name": "Top p", + "field_type": "float", + "info": "Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo", + "value": 0.8, + }, + "temperature": { + "display_name": "Temperature", + "field_type": "float", + "info": "Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo", + "value": 0.95, + }, + "penalty_score": { + "display_name": "Penalty Score", + "field_type": "float", + "info": "Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo", + "value": 1.0, + }, + "endpoint": { + "display_name": "Endpoint", + "info": "Endpoint of the Qianfan LLM, required if custom model used.", + }, + "code": {"show": False}, + } + + def build( + self, + model: str = "ERNIE-Bot-turbo", + qianfan_ak: Optional[str] = None, + qianfan_sk: Optional[str] = None, + top_p: Optional[float] = None, + temperature: Optional[float] = None, + penalty_score: Optional[float] = None, + endpoint: Optional[str] = None, + ) -> BaseLLM: + try: + output = QianfanLLMEndpoint( # type: ignore + model=model, + qianfan_ak=qianfan_ak, + qianfan_sk=qianfan_sk, + top_p=top_p, + temperature=temperature, + penalty_score=penalty_score, + endpoint=endpoint, + ) + except Exception as e: + raise ValueError("Could not connect to Baidu Qianfan API.") from e + return output # type: ignore diff --git a/src/backend/langflow/components/vectorstores/Vectara.py b/src/backend/langflow/components/vectorstores/Vectara.py index 6edc69822..6f7fcc0bb 100644 --- a/src/backend/langflow/components/vectorstores/Vectara.py +++ b/src/backend/langflow/components/vectorstores/Vectara.py @@ -5,7 +5,6 @@ from langchain.vectorstores import Vectara from langchain.schema import Document from langchain.vectorstores.base import VectorStore from langchain.schema import BaseRetriever -from langchain.embeddings.base import Embeddings class VectaraComponent(CustomComponent): @@ -22,7 +21,6 @@ class VectaraComponent(CustomComponent): "vectara_api_key": {"display_name": "Vectara API Key", "password": True}, "code": {"show": False}, "documents": {"display_name": "Documents"}, - "embedding": {"display_name": "Embedding"}, } def build( @@ -30,21 +28,21 @@ class VectaraComponent(CustomComponent): vectara_customer_id: str, vectara_corpus_id: str, vectara_api_key: str, - embedding: Optional[Embeddings] = None, documents: Optional[Document] = None, ) -> Union[VectorStore, BaseRetriever]: # If documents, then we need to create a Vectara instance using .from_documents - if documents is not None and embedding is not None: + if documents is not None: return Vectara.from_documents( documents=documents, # type: ignore vectara_customer_id=vectara_customer_id, vectara_corpus_id=vectara_corpus_id, vectara_api_key=vectara_api_key, - embedding=embedding, + source="langflow", ) return Vectara( vectara_customer_id=vectara_customer_id, vectara_corpus_id=vectara_corpus_id, vectara_api_key=vectara_api_key, + source="langflow", ) diff --git a/src/backend/langflow/services/auth/utils.py b/src/backend/langflow/services/auth/utils.py index 8b35870d0..7a27f794d 100644 --- a/src/backend/langflow/services/auth/utils.py +++ b/src/backend/langflow/services/auth/utils.py @@ -14,6 +14,7 @@ from langflow.services.database.models.user.crud import ( ) from langflow.services.deps import get_session, get_settings_service from sqlmodel import Session +from cryptography.fernet import Fernet oauth2_login = OAuth2PasswordBearer(tokenUrl="api/v1/login") @@ -294,3 +295,26 @@ def authenticate_user( raise HTTPException(status_code=400, detail="Inactive user") return user if verify_password(password, user.password) else None + + +def get_fernet(settings_service=Depends(get_settings_service)): + SECRET_KEY = settings_service.auth_settings.SECRET_KEY + # It's important that your secret key is 32 url-safe base64-encoded bytes + fernet = Fernet(SECRET_KEY) + return fernet + + +def encrypt_api_key(api_key: str, settings_service=Depends(get_settings_service)): + fernet = get_fernet(settings_service) + # Two-way encryption + encrypted_key = fernet.encrypt(api_key.encode()) + return encrypted_key + + +def decrypt_api_key( + encrypted_api_key: str, settings_service=Depends(get_settings_service) +): + fernet = get_fernet(settings_service) + # Two-way decryption + decrypted_key = fernet.decrypt(encrypted_api_key.encode()).decode() + return decrypted_key diff --git a/src/backend/langflow/services/database/models/flow/flow.py b/src/backend/langflow/services/database/models/flow/flow.py index e578f37c4..66c3af5b1 100644 --- a/src/backend/langflow/services/database/models/flow/flow.py +++ b/src/backend/langflow/services/database/models/flow/flow.py @@ -15,6 +15,7 @@ class FlowBase(SQLModelSerializable): name: str = Field(index=True) description: Optional[str] = Field(index=True) data: Optional[Dict] = Field(default=None, nullable=True) + is_component: bool = Field(default=False, nullable=True) @validator("data") def validate_json(v): @@ -35,7 +36,7 @@ class FlowBase(SQLModelSerializable): class Flow(FlowBase, table=True): id: UUID = Field(default_factory=uuid4, primary_key=True, unique=True) data: Optional[Dict] = Field(default=None, sa_column=Column(JSON)) - user_id: UUID = Field(index=True, foreign_key="user.id") + user_id: UUID = Field(index=True, foreign_key="user.id", nullable=True) user: "User" = Relationship(back_populates="flows") diff --git a/src/backend/langflow/services/database/models/user/user.py b/src/backend/langflow/services/database/models/user/user.py index b1f514531..1f769c8ec 100644 --- a/src/backend/langflow/services/database/models/user/user.py +++ b/src/backend/langflow/services/database/models/user/user.py @@ -25,6 +25,7 @@ class User(SQLModelSerializable, table=True): back_populates="user", sa_relationship_kwargs={"cascade": "delete"}, ) + store_api_key: str = Field(default=None, nullable=True) flows: list["Flow"] = Relationship(back_populates="user") diff --git a/src/backend/langflow/services/database/service.py b/src/backend/langflow/services/database/service.py index 7499f9204..9bd29558d 100644 --- a/src/backend/langflow/services/database/service.py +++ b/src/backend/langflow/services/database/service.py @@ -10,8 +10,9 @@ from sqlalchemy.exc import OperationalError from sqlmodel import SQLModel, Session, create_engine from loguru import logger from alembic.config import Config -from alembic import command +from alembic import command, util from langflow.services.database import models # noqa +import time if TYPE_CHECKING: from sqlalchemy.engine import Engine @@ -120,7 +121,24 @@ class DatabaseService(Service): alembic_cfg = Config() alembic_cfg.set_main_option("script_location", str(self.script_location)) alembic_cfg.set_main_option("sqlalchemy.url", self.database_url) - command.upgrade(alembic_cfg, "head") + try: + command.check(alembic_cfg) + except Exception as exc: + if isinstance(exc, util.exc.CommandError) or isinstance( + exc, util.exc.AutogenerateDiffsDetected + ): + command.upgrade(alembic_cfg, "head") + + # We should check the schema health after running migrations + try: + command.check(alembic_cfg) + except util.exc.AutogenerateDiffsDetected: + # downgrade to base and upgrade again + logger.warning("Autogenerate diffs detected, downgrading and upgrading") + command.downgrade(alembic_cfg, "-1") + # wait for the database to be ready + time.sleep(5) + command.upgrade(alembic_cfg, "head") def run_migrations_test(self): # This method is used for testing purposes only diff --git a/src/backend/langflow/services/deps.py b/src/backend/langflow/services/deps.py index a735ab155..4b8c6f145 100644 --- a/src/backend/langflow/services/deps.py +++ b/src/backend/langflow/services/deps.py @@ -9,7 +9,7 @@ if TYPE_CHECKING: from langflow.services.session.service import SessionService from langflow.services.task.service import TaskService from langflow.services.chat.service import ChatService - from langflow.services.marketplace.service import MarketplaceService + from langflow.services.store.service import StoreService from sqlmodel import Session @@ -49,5 +49,5 @@ def get_chat_service() -> "ChatService": return service_manager.get(ServiceType.CHAT_SERVICE) -def get_marketplace_service() -> "MarketplaceService": - return service_manager.get(ServiceType.MARKETPLACE_SERVICE) +def get_store_service() -> "StoreService": + return service_manager.get(ServiceType.STORE_SERVICE) diff --git a/src/backend/langflow/services/schema.py b/src/backend/langflow/services/schema.py index 1e1400e97..b899923fe 100644 --- a/src/backend/langflow/services/schema.py +++ b/src/backend/langflow/services/schema.py @@ -14,4 +14,4 @@ class ServiceType(str, Enum): CHAT_SERVICE = "chat_service" SESSION_SERVICE = "session_service" TASK_SERVICE = "task_service" - MARKETPLACE_SERVICE = "marketplace_service" + STORE_SERVICE = "store_service" diff --git a/src/backend/langflow/services/settings/base.py b/src/backend/langflow/services/settings/base.py index 74e8656e6..713d7c31b 100644 --- a/src/backend/langflow/services/settings/base.py +++ b/src/backend/langflow/services/settings/base.py @@ -52,7 +52,7 @@ class Settings(BaseSettings): LANGFUSE_PUBLIC_KEY: Optional[str] = None LANGFUSE_HOST: Optional[str] = None - MARKETPLACE_URL: Optional[str] = None + STORE_URL: Optional[str] = None @validator("CONFIG_DIR", pre=True, allow_reuse=True) def set_langflow_dir(cls, value): diff --git a/src/backend/langflow/services/store/service.py b/src/backend/langflow/services/store/service.py index a6b4b8400..3d27cd3c9 100644 --- a/src/backend/langflow/services/store/service.py +++ b/src/backend/langflow/services/store/service.py @@ -18,7 +18,7 @@ class StoreService(Service): def __init__(self, settings_service: "SettingsService"): self.settings_service = settings_service - self.base_url = self.settings_service.settings.MARKETPLACE_URL + self.base_url = self.settings_service.settings.STORE_URL self.components_url = f"{self.base_url}/items/components" def _get( @@ -101,8 +101,3 @@ class StoreService(Service): return ComponentResponse(**component) except HTTPError as exc: raise ValueError(f"Upload failed: {exc}") - - def get_api_key(self, hashed_api_key: str): - # We will use the settings_service.auth_settings.SECRET_KEY to decode the hashed_api_key - # and return the api_key - pass diff --git a/src/backend/langflow/services/utils.py b/src/backend/langflow/services/utils.py index abf69f931..96c89a707 100644 --- a/src/backend/langflow/services/utils.py +++ b/src/backend/langflow/services/utils.py @@ -19,6 +19,7 @@ def get_factories_and_deps(): from langflow.services.auth import factory as auth_factory from langflow.services.task import factory as task_factory from langflow.services.session import factory as session_service_factory # type: ignore + from langflow.services.store import factory as store_factory return [ (settings_factory.SettingsServiceFactory(), []), @@ -40,6 +41,7 @@ def get_factories_and_deps(): session_service_factory.SessionServiceFactory(), [ServiceType.CACHE_SERVICE], ), + (store_factory.StoreServiceFactory(), [ServiceType.SETTINGS_SERVICE]), ] diff --git a/src/backend/langflow/template/frontend_node/base.py b/src/backend/langflow/template/frontend_node/base.py index 36d651e78..4f8b6ad7e 100644 --- a/src/backend/langflow/template/frontend_node/base.py +++ b/src/backend/langflow/template/frontend_node/base.py @@ -44,7 +44,7 @@ class FieldFormatters(BaseModel): class FrontendNode(BaseModel): template: Template - description: str + description: Optional[str] = None base_classes: List[str] name: str = "" display_name: str = "" diff --git a/src/frontend/package-lock.json b/src/frontend/package-lock.json index d3913e768..da1d6aa41 100644 --- a/src/frontend/package-lock.json +++ b/src/frontend/package-lock.json @@ -1137,9 +1137,9 @@ "integrity": "sha512-eF2rxCRulEKXHTRiDrDy6erMYWqNw4LPdQ8UQA4huuxaQsVeRPFl2oM8oDGxMFhJUWZf9McpLtJasDDZb/Bpeg==" }, "node_modules/@jridgewell/trace-mapping": { - "version": "0.3.19", - "resolved": "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.19.tgz", - "integrity": "sha512-kf37QtfW+Hwx/buWGMPcR60iF9ziHa6r/CZJIHbmcm4+0qrXiVdxegAH0F6yddEVQ7zdkjcGCgCzUu+BcbhQxw==", + "version": "0.3.20", + "resolved": "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.20.tgz", + "integrity": "sha512-R8LcPeWZol2zR8mmH3JeKQ6QRCFb7XgUhV9ZlGhHLGyg4wpPiPZNQOOWhFZhxKw8u//yTbNGI42Bx/3paXEQ+Q==", "dependencies": { "@jridgewell/resolve-uri": "^3.1.0", "@jridgewell/sourcemap-codec": "^1.4.14" @@ -1165,9 +1165,9 @@ } }, "node_modules/@mui/base": { - 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"version": "1.4.555", - "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.4.555.tgz", - "integrity": "sha512-k1wGC7UXDTyCWcONkEMRG/w6Jvrxi+SVEU+IeqUKUKjv2lGJ1b+jf1mqrloyxVTG5WYYjNQ+F6+Cb1fGrLvNcA==" + "version": "1.4.558", + "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.4.558.tgz", + "integrity": "sha512-j9IcGmfkyN5MBH/0Xzg45GDHasXsnwEJDM6Xnr9H7GlGUni+JH4q6xp6Nk7NV5LjTmoEFBqhILIqg1McJrv6uA==" }, "emoji-regex": { "version": "8.0.0", @@ -18412,9 +18412,9 @@ } }, "vite": { - "version": "4.4.11", - "resolved": "https://registry.npmjs.org/vite/-/vite-4.4.11.tgz", - "integrity": "sha512-ksNZJlkcU9b0lBwAGZGGaZHCMqHsc8OpgtoYhsQ4/I2v5cnpmmmqe5pM4nv/4Hn6G/2GhTdj0DhZh2e+Er1q5A==", + "version": "4.5.0", + "resolved": "https://registry.npmjs.org/vite/-/vite-4.5.0.tgz", + "integrity": "sha512-ulr8rNLA6rkyFAlVWw2q5YJ91v098AFQ2R0PRFwPzREXOUJQPtFUG0t+/ZikhaOCDqFoDhN6/v8Sq0o4araFAw==", "requires": { "esbuild": "^0.18.10", "fsevents": "~2.3.2", diff --git a/src/frontend/run-tests.sh b/src/frontend/run-tests.sh index 6bcc81b76..76e2fd756 100755 --- a/src/frontend/run-tests.sh +++ b/src/frontend/run-tests.sh @@ -30,6 +30,9 @@ terminate_process_by_port() { # Trap signals to ensure cleanup on script termination trap 'terminate_process_by_port 7860; terminate_process_by_port 3000' EXIT +# install playwright if there is not installed yet +npx playwright install + # Navigate to the project root directory (where the Makefile is located) cd ../../ @@ -56,7 +59,7 @@ cd ../../ make backend & # Give some time for the backend to start (adjust sleep duration as needed) -sleep 10 +sleep 25 # Navigate back to the test directory cd src/frontend diff --git a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx index 61f784d58..2e08c77b6 100644 --- a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx +++ b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx @@ -56,6 +56,7 @@ export default function ParameterComponent({ info = "", proxy, showNode, + index = "", }: ParameterComponentType): JSX.Element { const ref = useRef(null); const refHtml = useRef(null); @@ -351,9 +352,11 @@ export default function ParameterComponent({ disabled={disabled} value={data.node.template[name].value ?? ""} onChange={handleOnNewValue} + id={"textarea-" + index} /> ) : ( { @@ -406,6 +410,7 @@ export default function ParameterComponent({ disabled={disabled} value={data.node?.template[name].value ?? ""} onChange={handleOnNewValue} + id={"code-input-" + index} /> ) : left === true && type === "file" ? ( @@ -427,6 +432,7 @@ export default function ParameterComponent({ disabled={disabled} value={data.node?.template[name].value ?? ""} onChange={handleOnNewValue} + id={"int-input-" + index} /> ) : left === true && type === "prompt" ? ( @@ -450,6 +456,7 @@ export default function ParameterComponent({ onChange={(e) => { handleOnNewValue(e); }} + id={"prompt-input-" + index} /> ) : left === true && type === "NestedDict" ? ( diff --git a/src/frontend/src/CustomNodes/GenericNode/index.tsx b/src/frontend/src/CustomNodes/GenericNode/index.tsx index 7e6c04767..a58f7a92c 100644 --- a/src/frontend/src/CustomNodes/GenericNode/index.tsx +++ b/src/frontend/src/CustomNodes/GenericNode/index.tsx @@ -219,6 +219,7 @@ export default function GenericNode({ data.node!.template[templateField].show && !data.node!.template[templateField].advanced && ( {Object.keys(data.node!.template) .filter((templateField) => templateField.charAt(0) !== "_") + .sort() .map((templateField: string, idx) => (
{data.node!.template[templateField].show && !data.node!.template[templateField].advanced ? (
) : ( { if ( event.key !== "Backspace" && diff --git a/src/frontend/src/components/promptComponent/index.tsx b/src/frontend/src/components/promptComponent/index.tsx index f8cdc1e38..3fa41d279 100644 --- a/src/frontend/src/components/promptComponent/index.tsx +++ b/src/frontend/src/components/promptComponent/index.tsx @@ -14,6 +14,7 @@ export default function PromptAreaComponent({ onChange, disabled, editNode = false, + id = "", readonly = false, }: PromptAreaComponentType): JSX.Element { useEffect(() => { @@ -36,6 +37,7 @@ export default function PromptAreaComponent({ return (
{ @@ -21,6 +22,7 @@ export default function TextAreaComponent({ return (
) : ( {" "} { handleOnNewValue(value, templateParam); }} + id={"prompt-area-edit" + index} />
) : myData.current.node?.template[templateParam] @@ -488,6 +493,7 @@ const EditNodeModal = forwardRef( onChange={(value: string | string[]) => { handleOnNewValue(value, templateParam); }} + id={"code-area-edit" + index} />
) : myData.current.node?.template[templateParam] diff --git a/src/frontend/src/modals/codeAreaModal/index.tsx b/src/frontend/src/modals/codeAreaModal/index.tsx index 19cc7d4e3..dd561aa97 100644 --- a/src/frontend/src/modals/codeAreaModal/index.tsx +++ b/src/frontend/src/modals/codeAreaModal/index.tsx @@ -8,6 +8,7 @@ import { useContext, useEffect, useState } from "react"; import AceEditor from "react-ace"; import IconComponent from "../../components/genericIconComponent"; import { Button } from "../../components/ui/button"; +import { Input } from "../../components/ui/input"; import { CODE_PROMPT_DIALOG_SUBTITLE } from "../../constants/constants"; import { alertContext } from "../../contexts/alertContext"; import { darkContext } from "../../contexts/darkContext"; @@ -144,6 +145,11 @@ export default function CodeAreaModal({ /> +
diff --git a/src/frontend/src/modals/genericModal/index.tsx b/src/frontend/src/modals/genericModal/index.tsx index 3169dc43f..8d75e29de 100644 --- a/src/frontend/src/modals/genericModal/index.tsx +++ b/src/frontend/src/modals/genericModal/index.tsx @@ -30,6 +30,7 @@ export default function GenericModal({ nodeClass, setNodeClass, children, + id = "", readonly = false, }: genericModalPropsType): JSX.Element { const [myButtonText] = useState(buttonText); @@ -211,6 +212,7 @@ export default function GenericModal({ > {type === TypeModal.PROMPT && isEdit && !readonly ? (