From ea0219a5d521ef1fa0b2d338bb53635f0f26b924 Mon Sep 17 00:00:00 2001 From: KVOJJJin Date: Fri, 7 Jun 2024 16:01:33 +0800 Subject: [PATCH 01/70] Fix: z-index in header (#5017) --- web/app/components/header/HeaderWrapper.tsx | 2 +- web/app/components/tools/provider-list.tsx | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/web/app/components/header/HeaderWrapper.tsx b/web/app/components/header/HeaderWrapper.tsx index ba51216dd7dd35..a872a7b3066855 100644 --- a/web/app/components/header/HeaderWrapper.tsx +++ b/web/app/components/header/HeaderWrapper.tsx @@ -15,7 +15,7 @@ const HeaderWrapper = ({ return (
{
Date: Fri, 7 Jun 2024 20:00:39 +0800 Subject: [PATCH 02/70] deal the external image when extract docx image (#5024) --- api/core/rag/extractor/word_extractor.py | 26 +++++++++++++++++------- 1 file changed, 19 insertions(+), 7 deletions(-) diff --git a/api/core/rag/extractor/word_extractor.py b/api/core/rag/extractor/word_extractor.py index 5b858c6c4c69b8..9045966da92a84 100644 --- a/api/core/rag/extractor/word_extractor.py +++ b/api/core/rag/extractor/word_extractor.py @@ -76,13 +76,25 @@ def _extract_images_from_docx(self, doc, image_folder): for rel in doc.part.rels.values(): if "image" in rel.target_ref: image_count += 1 - image_ext = rel.target_ref.split('.')[-1] - # user uuid as file name - file_uuid = str(uuid.uuid4()) - file_key = 'image_files/' + self.tenant_id + '/' + file_uuid + '.' + image_ext - mime_type, _ = mimetypes.guess_type(file_key) - - storage.save(file_key, rel.target_part.blob) + if rel.is_external: + url = rel.reltype + response = requests.get(url, stream=True) + if response.status_code == 200: + image_ext = mimetypes.guess_extension(response.headers['Content-Type']) + file_uuid = str(uuid.uuid4()) + file_key = 'image_files/' + self.tenant_id + '/' + file_uuid + '.' + image_ext + mime_type, _ = mimetypes.guess_type(file_key) + storage.save(file_key, response.content) + else: + continue + else: + image_ext = rel.target_ref.split('.')[-1] + # user uuid as file name + file_uuid = str(uuid.uuid4()) + file_key = 'image_files/' + self.tenant_id + '/' + file_uuid + '.' + image_ext + mime_type, _ = mimetypes.guess_type(file_key) + + storage.save(file_key, rel.target_part.blob) # save file to db config = current_app.config upload_file = UploadFile( From ea5c8a72e2b1b48a716ea011746c294f996104ec Mon Sep 17 00:00:00 2001 From: doufa Date: Fri, 7 Jun 2024 20:02:08 +0800 Subject: [PATCH 03/70] Fix language setting not success (#5023) --- .../account-setting/language-page/index.tsx | 40 +++++++++++++------ 1 file changed, 27 insertions(+), 13 deletions(-) diff --git a/web/app/components/header/account-setting/language-page/index.tsx b/web/app/components/header/account-setting/language-page/index.tsx index 7f3011386720c2..fc8db8681359af 100644 --- a/web/app/components/header/account-setting/language-page/index.tsx +++ b/web/app/components/header/account-setting/language-page/index.tsx @@ -22,27 +22,41 @@ export default function LanguagePage() { const { notify } = useContext(ToastContext) const [editing, setEditing] = useState(false) const { t } = useTranslation() - const handleSelect = async (type: string, item: Item) => { - let url = '' - let bodyKey = '' - if (type === 'language') { - url = '/account/interface-language' - bodyKey = 'interface_language' + + const handleSelectLanguage = async (item: Item) => { + const url = '/account/interface-language' + const bodyKey = 'interface_language' + + setEditing(true) + try { + await updateUserProfile({ url, body: { [bodyKey]: item.value } }) + notify({ type: 'success', message: t('common.actionMsg.modifiedSuccessfully') }) + setLocaleOnClient(item.value.toString()) } - if (type === 'timezone') { - url = '/account/timezone' - bodyKey = 'timezone' + catch (e) { + notify({ type: 'error', message: (e as Error).message }) + } + finally { + setEditing(false) } + } + + const handleSelectTimezone = async (item: Item) => { + const url = '/account/timezone' + const bodyKey = 'timezone' + + setEditing(true) try { - setEditing(true) await updateUserProfile({ url, body: { [bodyKey]: item.value } }) notify({ type: 'success', message: t('common.actionMsg.modifiedSuccessfully') }) + mutateUserProfile() - setEditing(false) } catch (e) { notify({ type: 'error', message: (e as Error).message }) + } + finally { setEditing(false) } } @@ -54,7 +68,7 @@ export default function LanguagePage() { item.supported)} - onSelect={item => handleSelect('language', item)} + onSelect={item => handleSelectLanguage(item)} disabled={editing} />
@@ -63,7 +77,7 @@ export default function LanguagePage() { handleSelect('timezone', item)} + onSelect={item => handleSelectTimezone(item)} disabled={editing} />
From d319d9fc5e5e58a353ea9ce2129327b089a50f0a Mon Sep 17 00:00:00 2001 From: Pika Date: Fri, 7 Jun 2024 20:59:39 +0800 Subject: [PATCH 04/70] fix(style): some style issues (#5029) --- .../edit-custom-collection-modal/config-credentials.tsx | 4 ++-- .../components/workflow/nodes/_base/components/field.tsx | 2 +- .../workflow/nodes/_base/components/info-panel.tsx | 2 +- .../workflow/nodes/if-else/components/condition-item.tsx | 6 +++--- 4 files changed, 7 insertions(+), 7 deletions(-) diff --git a/web/app/components/tools/edit-custom-collection-modal/config-credentials.tsx b/web/app/components/tools/edit-custom-collection-modal/config-credentials.tsx index cdff5424313785..71fd1cd94df2a2 100644 --- a/web/app/components/tools/edit-custom-collection-modal/config-credentials.tsx +++ b/web/app/components/tools/edit-custom-collection-modal/config-credentials.tsx @@ -53,9 +53,9 @@ const ConfigCredential: FC = ({ positionCenter={positionCenter} onHide={onHide} title={t('tools.createTool.authMethod.title')!} - panelClassName='mt-2 !w-[520px]' + panelClassName='mt-2 !w-[520px] h-fit' maxWidthClassName='!max-w-[520px]' - height='calc(100vh - 16px)' + height={'fit-content'} headerClassName='!border-b-black/5' body={
diff --git a/web/app/components/workflow/nodes/_base/components/field.tsx b/web/app/components/workflow/nodes/_base/components/field.tsx index bdc0e95442f29c..aa93ba75972590 100644 --- a/web/app/components/workflow/nodes/_base/components/field.tsx +++ b/web/app/components/workflow/nodes/_base/components/field.tsx @@ -31,7 +31,7 @@ const Filed: FC = ({ toggle: toggleFold, }] = useBoolean(true) return ( -
+
supportFold && toggleFold()} className={cn('flex justify-between items-center', supportFold && 'cursor-pointer')}> diff --git a/web/app/components/workflow/nodes/_base/components/info-panel.tsx b/web/app/components/workflow/nodes/_base/components/info-panel.tsx index 721a45634b94b6..e7a83ee3142957 100644 --- a/web/app/components/workflow/nodes/_base/components/info-panel.tsx +++ b/web/app/components/workflow/nodes/_base/components/info-panel.tsx @@ -17,7 +17,7 @@ const InfoPanel: FC = ({
{title}
-
+
{content}
diff --git a/web/app/components/workflow/nodes/if-else/components/condition-item.tsx b/web/app/components/workflow/nodes/if-else/components/condition-item.tsx index 4e1163c860af4e..cd511cce2c2a26 100644 --- a/web/app/components/workflow/nodes/if-else/components/condition-item.tsx +++ b/web/app/components/workflow/nodes/if-else/components/condition-item.tsx @@ -145,7 +145,7 @@ const Item: FC = ({ return (
{isShowLogicalOperator && ( -
+
{Line}
= ({ nodeId={nodeId} readonly={readonly} isShowNodeName - className='w-[162px]' + className='min-w-[162px] flex-grow' value={payload.variable_selector} onChange={handleVarReferenceChange} filterVar={filterVar} @@ -229,7 +229,7 @@ const Item: FC = ({ value={!isValueReadOnly ? payload.value : ''} onChange={handleValueChange} placeholder={(!readonly && !isValueReadOnly) ? t(`${i18nPrefix}.enterValue`)! : ''} - className='w-[80px] h-8 leading-8 px-2.5 rounded-lg border-0 bg-gray-100 text-gray-900 text-[13px] placeholder:text-gray-400 focus:outline-none focus:ring-1 focus:ring-inset focus:ring-gray-200' + className='min-w-[80px] flex-grow h-8 leading-8 px-2.5 rounded-lg border-0 bg-gray-100 text-gray-900 text-[13px] placeholder:text-gray-400 focus:outline-none focus:ring-1 focus:ring-inset focus:ring-gray-200' type='text' /> {!readonly && ( From 3b62ab564a44dc8ae62fb21559c2e423b25f7f33 Mon Sep 17 00:00:00 2001 From: zxhlyh Date: Sat, 8 Jun 2024 07:32:34 +0800 Subject: [PATCH 05/70] feat: feature modal style (#5032) --- .../feature-item/preview-imgs/citation.png | Bin 0 -> 29852 bytes .../preview-imgs/more-like-this.png | Bin 0 -> 30202 bytes .../preview-imgs/speech-to-text.png | Bin 0 -> 24529 bytes .../suggested-questions-after-answer.png | Bin 0 -> 42447 bytes .../feature-item/style.module.css | 12 +++++++----- .../feature-item/style.module.css | 16 +++++++++------- 6 files changed, 16 insertions(+), 12 deletions(-) create mode 100644 web/app/components/app/configuration/config/feature/choose-feature/feature-item/preview-imgs/citation.png create mode 100644 web/app/components/app/configuration/config/feature/choose-feature/feature-item/preview-imgs/more-like-this.png create mode 100644 web/app/components/app/configuration/config/feature/choose-feature/feature-item/preview-imgs/speech-to-text.png create mode 100644 web/app/components/app/configuration/config/feature/choose-feature/feature-item/preview-imgs/suggested-questions-after-answer.png diff --git a/web/app/components/app/configuration/config/feature/choose-feature/feature-item/preview-imgs/citation.png b/web/app/components/app/configuration/config/feature/choose-feature/feature-item/preview-imgs/citation.png new file mode 100644 index 0000000000000000000000000000000000000000..cc0847c942693ac2a2026395c3e6fc86c2dc0626 GIT binary patch literal 29852 zcmd>mWmHt{+wZ1D2?YcM>CPdfOB#j&q&uV==?)2%P-I{z32EsXIu#IxLAq0NzjVB5>8%K|`6!lRqlH~`?y zuc{!c>yNRwh!-xnZMKODYy#D2Aw}gLSv+04`J!4Jq)3SOx?yU(H>+==M@8u$t zO*o)k8cW~T_^sut=T|QAMg&7o`aFoNHP55`mYz#AdNyrZXqTu>>N%CbN+*_wbOY+|8@?#(bWH;tYIOGVzX`+wq zzxKh`3NyfGQf=STO611A77XJ968Pxf#pGMQI`yD#|=hcf*nmUn`0$24hqwy~4yg{oL^OS&}Osi^zJy z-A6;a4JWrM!#;@wCT}+E>ZHeL618)?1LcupFf|;GFTbHkoApOIW#HqxdwLE;zp+#2 zVDM3a>BXQ&(40RbZ;XN`(pDQ2%aV7jS5~h!`dn5i!FqkZn`*=T`aLxvYp<1gwkYbu^OlV!W@zNWIyUfH zJ{$v=y{>^7kI0M#q1)o2Uyz2+Ze7FQy#3Qe;ghqFuB&meg5te;(YS!16jwToC4IJC z^QuIb7y0K86klCY=Sm)#;r1~h0kOLq&y34g%}|{*@(7>ut7i#w$wZo&Pcj0w_Er$7 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z``_*}CHP$H<&OBg72djPeJ@75xXZ&|G%3FQ4wHcd@q(Z^U%~=^S_%3!r?f6`%=%i& zP(@!m$G zlP!I7kVPhV6mfmoAQ(yvOqkoqUe^4*5cO~4ziXTTuknIRM3l*|aKjX^t(HZ$s$%hN z>qxLVcLLT$9j()3c~IHI@{c;!pkoKskiT2mZ%}!qg|t-(?qI{}&fk$s$o4_s(jHfG@s&9!P1yaP2q{n0 zF_?XcY(3W^(e)dYSF_`cTGz_8)#~*Z^xMGuKYaUP-v4?ZJ_}3`4d={P;2 Date: Sat, 8 Jun 2024 22:29:24 +0800 Subject: [PATCH 06/70] improve: generalize vector factory classes and vector type (#5033) --- api/commands.py | 21 +- api/controllers/console/datasets/datasets.py | 61 ++--- .../datasource/vdb/milvus/milvus_vector.py | 36 ++- .../datasource/vdb/pgvecto_rs/pgvecto_rs.py | 33 ++- .../rag/datasource/vdb/pgvector/pgvector.py | 31 ++- .../datasource/vdb/qdrant/qdrant_vector.py | 46 +++- .../rag/datasource/vdb/relyt/relyt_vector.py | 42 +++- .../datasource/vdb/tidb_vector/tidb_vector.py | 33 +++ api/core/rag/datasource/vdb/vector_base.py | 4 + api/core/rag/datasource/vdb/vector_factory.py | 231 ++++-------------- api/core/rag/datasource/vdb/vector_type.py | 11 + .../vdb/weaviate/weaviate_vector.py | 29 ++- 12 files changed, 344 insertions(+), 234 deletions(-) create mode 100644 api/core/rag/datasource/vdb/vector_type.py diff --git a/api/commands.py b/api/commands.py index 186b97c3fa6a38..da3f7416d434f1 100644 --- a/api/commands.py +++ b/api/commands.py @@ -9,6 +9,7 @@ from constants.languages import languages from core.rag.datasource.vdb.vector_factory import Vector +from core.rag.datasource.vdb.vector_type import VectorType from core.rag.models.document import Document from extensions.ext_database import db from libs.helper import email as email_validate @@ -266,15 +267,15 @@ def migrate_knowledge_vector_database(): skipped_count = skipped_count + 1 continue collection_name = '' - if vector_type == "weaviate": + if vector_type == VectorType.WEAVIATE: dataset_id = dataset.id collection_name = Dataset.gen_collection_name_by_id(dataset_id) index_struct_dict = { - "type": 'weaviate', + "type": VectorType.WEAVIATE, "vector_store": {"class_prefix": collection_name} } dataset.index_struct = json.dumps(index_struct_dict) - elif vector_type == "qdrant": + elif vector_type == VectorType.QDRANT: if dataset.collection_binding_id: dataset_collection_binding = db.session.query(DatasetCollectionBinding). \ filter(DatasetCollectionBinding.id == dataset.collection_binding_id). \ @@ -287,20 +288,20 @@ def migrate_knowledge_vector_database(): dataset_id = dataset.id collection_name = Dataset.gen_collection_name_by_id(dataset_id) index_struct_dict = { - "type": 'qdrant', + "type": VectorType.QDRANT, "vector_store": {"class_prefix": collection_name} } dataset.index_struct = json.dumps(index_struct_dict) - elif vector_type == "milvus": + elif vector_type == VectorType.MILVUS: dataset_id = dataset.id collection_name = Dataset.gen_collection_name_by_id(dataset_id) index_struct_dict = { - "type": 'milvus', + "type": VectorType.MILVUS, "vector_store": {"class_prefix": collection_name} } dataset.index_struct = json.dumps(index_struct_dict) - elif vector_type == "relyt": + elif vector_type == VectorType.RELYT: dataset_id = dataset.id collection_name = Dataset.gen_collection_name_by_id(dataset_id) index_struct_dict = { @@ -308,16 +309,16 @@ def migrate_knowledge_vector_database(): "vector_store": {"class_prefix": collection_name} } dataset.index_struct = json.dumps(index_struct_dict) - elif vector_type == "pgvector": + elif vector_type == VectorType.PGVECTOR: dataset_id = dataset.id collection_name = Dataset.gen_collection_name_by_id(dataset_id) index_struct_dict = { - "type": 'pgvector', + "type": VectorType.PGVECTOR, "vector_store": {"class_prefix": collection_name} } dataset.index_struct = json.dumps(index_struct_dict) else: - raise ValueError(f"Vector store {config.get('VECTOR_STORE')} is not supported.") + raise ValueError(f"Vector store {vector_type} is not supported.") vector = Vector(dataset) click.echo(f"Start to migrate dataset {dataset.id}.") diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py index 72c4c090552acf..49e50caf70fbe8 100644 --- a/api/controllers/console/datasets/datasets.py +++ b/api/controllers/console/datasets/datasets.py @@ -15,6 +15,7 @@ from core.indexing_runner import IndexingRunner from core.model_runtime.entities.model_entities import ModelType from core.provider_manager import ProviderManager +from core.rag.datasource.vdb.vector_type import VectorType from core.rag.extractor.entity.extract_setting import ExtractSetting from extensions.ext_database import db from fields.app_fields import related_app_list @@ -476,20 +477,22 @@ class DatasetRetrievalSettingApi(Resource): @account_initialization_required def get(self): vector_type = current_app.config['VECTOR_STORE'] - if vector_type in {"milvus", "relyt", "pgvector", "pgvecto_rs", 'tidb_vector'}: - return { - 'retrieval_method': [ - 'semantic_search' - ] - } - elif vector_type in {"qdrant", "weaviate"}: - return { - 'retrieval_method': [ - 'semantic_search', 'full_text_search', 'hybrid_search' - ] - } - else: - raise ValueError("Unsupported vector db type.") + + match vector_type: + case VectorType.MILVUS | VectorType.RELYT | VectorType.PGVECTOR | VectorType.TIDB_VECTOR: + return { + 'retrieval_method': [ + 'semantic_search' + ] + } + case VectorType.QDRANT | VectorType.WEAVIATE: + return { + 'retrieval_method': [ + 'semantic_search', 'full_text_search', 'hybrid_search' + ] + } + case _: + raise ValueError(f"Unsupported vector db type {vector_type}.") class DatasetRetrievalSettingMockApi(Resource): @@ -497,20 +500,22 @@ class DatasetRetrievalSettingMockApi(Resource): @login_required @account_initialization_required def get(self, vector_type): - if vector_type in {'milvus', 'relyt', 'pgvector', 'tidb_vector'}: - return { - 'retrieval_method': [ - 'semantic_search' - ] - } - elif vector_type in {'qdrant', 'weaviate'}: - return { - 'retrieval_method': [ - 'semantic_search', 'full_text_search', 'hybrid_search' - ] - } - else: - raise ValueError("Unsupported vector db type.") + match vector_type: + case VectorType.MILVUS | VectorType.RELYT | VectorType.PGVECTOR | VectorType.TIDB_VECTOR: + return { + 'retrieval_method': [ + 'semantic_search' + ] + } + case VectorType.QDRANT | VectorType.WEAVIATE: + return { + 'retrieval_method': [ + 'semantic_search', 'full_text_search', 'hybrid_search' + ] + } + case _: + raise ValueError(f"Unsupported vector db type {vector_type}.") + class DatasetErrorDocs(Resource): @setup_required diff --git a/api/core/rag/datasource/vdb/milvus/milvus_vector.py b/api/core/rag/datasource/vdb/milvus/milvus_vector.py index 0586e279d3b74b..d77cf26d2599c8 100644 --- a/api/core/rag/datasource/vdb/milvus/milvus_vector.py +++ b/api/core/rag/datasource/vdb/milvus/milvus_vector.py @@ -1,14 +1,20 @@ +import json import logging from typing import Any, Optional from uuid import uuid4 +from flask import current_app from pydantic import BaseModel, root_validator from pymilvus import MilvusClient, MilvusException, connections +from core.rag.datasource.entity.embedding import Embeddings from core.rag.datasource.vdb.field import Field from core.rag.datasource.vdb.vector_base import BaseVector +from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory +from core.rag.datasource.vdb.vector_type import VectorType from core.rag.models.document import Document from extensions.ext_redis import redis_client +from models.dataset import Dataset logger = logging.getLogger(__name__) @@ -55,7 +61,7 @@ def __init__(self, collection_name: str, config: MilvusConfig): self._fields = [] def get_type(self) -> str: - return 'milvus' + return VectorType.MILVUS def create(self, texts: list[Document], embeddings: list[list[float]], **kwargs): index_params = { @@ -254,10 +260,36 @@ def create_collection( schema=schema, index_param=index_params, consistency_level=self._consistency_level) redis_client.set(collection_exist_cache_key, 1, ex=3600) + def _init_client(self, config) -> MilvusClient: if config.secure: uri = "https://" + str(config.host) + ":" + str(config.port) else: uri = "http://" + str(config.host) + ":" + str(config.port) - client = MilvusClient(uri=uri, user=config.user, password=config.password,db_name=config.database) + client = MilvusClient(uri=uri, user=config.user, password=config.password, db_name=config.database) return client + + +class MilvusVectorFactory(AbstractVectorFactory): + def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> MilvusVector: + if dataset.index_struct_dict: + class_prefix: str = dataset.index_struct_dict['vector_store']['class_prefix'] + collection_name = class_prefix + else: + dataset_id = dataset.id + collection_name = Dataset.gen_collection_name_by_id(dataset_id) + dataset.index_struct = json.dumps( + self.gen_index_struct_dict(VectorType.WEAVIATE, collection_name)) + + config = current_app.config + return MilvusVector( + collection_name=collection_name, + config=MilvusConfig( + host=config.get('MILVUS_HOST'), + port=config.get('MILVUS_PORT'), + user=config.get('MILVUS_USER'), + password=config.get('MILVUS_PASSWORD'), + secure=config.get('MILVUS_SECURE'), + database=config.get('MILVUS_DATABASE'), + ) + ) diff --git a/api/core/rag/datasource/vdb/pgvecto_rs/pgvecto_rs.py b/api/core/rag/datasource/vdb/pgvecto_rs/pgvecto_rs.py index 3842aee6c7a519..80a2c3f82bb47f 100644 --- a/api/core/rag/datasource/vdb/pgvecto_rs/pgvecto_rs.py +++ b/api/core/rag/datasource/vdb/pgvecto_rs/pgvecto_rs.py @@ -1,7 +1,9 @@ +import json import logging from typing import Any from uuid import UUID, uuid4 +from flask import current_app from numpy import ndarray from pgvecto_rs.sqlalchemy import Vector from pydantic import BaseModel, root_validator @@ -10,10 +12,14 @@ from sqlalchemy.dialects import postgresql from sqlalchemy.orm import Mapped, Session, mapped_column +from core.rag.datasource.entity.embedding import Embeddings from core.rag.datasource.vdb.pgvecto_rs.collection import CollectionORM from core.rag.datasource.vdb.vector_base import BaseVector +from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory +from core.rag.datasource.vdb.vector_type import VectorType from core.rag.models.document import Document from extensions.ext_redis import redis_client +from models.dataset import Dataset logger = logging.getLogger(__name__) @@ -67,7 +73,7 @@ class _Table(CollectionORM): self._distance_op = "<=>" def get_type(self) -> str: - return 'pgvecto-rs' + return VectorType.PGVECTO_RS def create(self, texts: list[Document], embeddings: list[list[float]], **kwargs): self.create_collection(len(embeddings[0])) @@ -222,3 +228,28 @@ def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]: # docs.append(doc) # return docs return [] + + +class PGVectoRSFactory(AbstractVectorFactory): + def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> PGVectoRS: + if dataset.index_struct_dict: + class_prefix: str = dataset.index_struct_dict['vector_store']['class_prefix'] + collection_name = class_prefix.lower() + else: + dataset_id = dataset.id + collection_name = Dataset.gen_collection_name_by_id(dataset_id).lower() + dataset.index_struct = json.dumps( + self.gen_index_struct_dict(VectorType.WEAVIATE, collection_name)) + dim = len(embeddings.embed_query("pgvecto_rs")) + config = current_app.config + return PGVectoRS( + collection_name=collection_name, + config=PgvectoRSConfig( + host=config.get('PGVECTO_RS_HOST'), + port=config.get('PGVECTO_RS_PORT'), + user=config.get('PGVECTO_RS_USER'), + password=config.get('PGVECTO_RS_PASSWORD'), + database=config.get('PGVECTO_RS_DATABASE'), + ), + dim=dim + ) \ No newline at end of file diff --git a/api/core/rag/datasource/vdb/pgvector/pgvector.py b/api/core/rag/datasource/vdb/pgvector/pgvector.py index 22cf790bfa44f4..c9a1508ab28f9a 100644 --- a/api/core/rag/datasource/vdb/pgvector/pgvector.py +++ b/api/core/rag/datasource/vdb/pgvector/pgvector.py @@ -5,11 +5,16 @@ import psycopg2.extras import psycopg2.pool +from flask import current_app from pydantic import BaseModel, root_validator +from core.rag.datasource.entity.embedding import Embeddings from core.rag.datasource.vdb.vector_base import BaseVector +from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory +from core.rag.datasource.vdb.vector_type import VectorType from core.rag.models.document import Document from extensions.ext_redis import redis_client +from models.dataset import Dataset class PGVectorConfig(BaseModel): @@ -51,7 +56,7 @@ def __init__(self, collection_name: str, config: PGVectorConfig): self.table_name = f"embedding_{collection_name}" def get_type(self) -> str: - return "pgvector" + return VectorType.PGVECTOR def _create_connection_pool(self, config: PGVectorConfig): return psycopg2.pool.SimpleConnectionPool( @@ -167,3 +172,27 @@ def _create_collection(self, dimension: int): cur.execute(SQL_CREATE_TABLE.format(table_name=self.table_name, dimension=dimension)) # TODO: create index https://github.com/pgvector/pgvector?tab=readme-ov-file#indexing redis_client.set(collection_exist_cache_key, 1, ex=3600) + + +class PGVectorFactory(AbstractVectorFactory): + def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> PGVector: + if dataset.index_struct_dict: + class_prefix: str = dataset.index_struct_dict["vector_store"]["class_prefix"] + collection_name = class_prefix + else: + dataset_id = dataset.id + collection_name = Dataset.gen_collection_name_by_id(dataset_id) + dataset.index_struct = json.dumps( + self.gen_index_struct_dict(VectorType.PGVECTOR, collection_name)) + + config = current_app.config + return PGVector( + collection_name=collection_name, + config=PGVectorConfig( + host=config.get("PGVECTOR_HOST"), + port=config.get("PGVECTOR_PORT"), + user=config.get("PGVECTOR_USER"), + password=config.get("PGVECTOR_PASSWORD"), + database=config.get("PGVECTOR_DATABASE"), + ), + ) \ No newline at end of file diff --git a/api/core/rag/datasource/vdb/qdrant/qdrant_vector.py b/api/core/rag/datasource/vdb/qdrant/qdrant_vector.py index 7a92314542ffbb..6a77c135fff70a 100644 --- a/api/core/rag/datasource/vdb/qdrant/qdrant_vector.py +++ b/api/core/rag/datasource/vdb/qdrant/qdrant_vector.py @@ -1,3 +1,4 @@ +import json import os import uuid from collections.abc import Generator, Iterable, Sequence @@ -5,6 +6,7 @@ from typing import TYPE_CHECKING, Any, Optional, Union, cast import qdrant_client +from flask import current_app from pydantic import BaseModel from qdrant_client.http import models as rest from qdrant_client.http.models import ( @@ -17,10 +19,15 @@ ) from qdrant_client.local.qdrant_local import QdrantLocal +from core.rag.datasource.entity.embedding import Embeddings from core.rag.datasource.vdb.field import Field from core.rag.datasource.vdb.vector_base import BaseVector +from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory +from core.rag.datasource.vdb.vector_type import VectorType from core.rag.models.document import Document +from extensions.ext_database import db from extensions.ext_redis import redis_client +from models.dataset import Dataset, DatasetCollectionBinding if TYPE_CHECKING: from qdrant_client import grpc # noqa @@ -69,7 +76,7 @@ def __init__(self, collection_name: str, group_id: str, config: QdrantConfig, di self._group_id = group_id def get_type(self) -> str: - return 'qdrant' + return VectorType.QDRANT def to_index_struct(self) -> dict: return { @@ -408,3 +415,40 @@ def _document_from_scored_point( page_content=scored_point.payload.get(content_payload_key), metadata=scored_point.payload.get(metadata_payload_key) or {}, ) + + +class QdrantVectorFactory(AbstractVectorFactory): + def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> QdrantVector: + if dataset.collection_binding_id: + dataset_collection_binding = db.session.query(DatasetCollectionBinding). \ + filter(DatasetCollectionBinding.id == dataset.collection_binding_id). \ + one_or_none() + if dataset_collection_binding: + collection_name = dataset_collection_binding.collection_name + else: + raise ValueError('Dataset Collection Bindings is not exist!') + else: + if dataset.index_struct_dict: + class_prefix: str = dataset.index_struct_dict['vector_store']['class_prefix'] + collection_name = class_prefix + else: + dataset_id = dataset.id + collection_name = Dataset.gen_collection_name_by_id(dataset_id) + + if not dataset.index_struct_dict: + dataset.index_struct = json.dumps( + self.gen_index_struct_dict(VectorType.QDRANT, collection_name)) + + config = current_app.config + return QdrantVector( + collection_name=collection_name, + group_id=dataset.id, + config=QdrantConfig( + endpoint=config.get('QDRANT_URL'), + api_key=config.get('QDRANT_API_KEY'), + root_path=config.root_path, + timeout=config.get('QDRANT_CLIENT_TIMEOUT'), + grpc_port=config.get('QDRANT_GRPC_PORT'), + prefer_grpc=config.get('QDRANT_GRPC_ENABLED') + ) + ) diff --git a/api/core/rag/datasource/vdb/relyt/relyt_vector.py b/api/core/rag/datasource/vdb/relyt/relyt_vector.py index ee88d9fa29b946..5ccb24f57f547b 100644 --- a/api/core/rag/datasource/vdb/relyt/relyt_vector.py +++ b/api/core/rag/datasource/vdb/relyt/relyt_vector.py @@ -1,12 +1,19 @@ +import json import uuid from typing import Any, Optional +from flask import current_app from pydantic import BaseModel, root_validator from sqlalchemy import Column, Sequence, String, Table, create_engine, insert from sqlalchemy import text as sql_text from sqlalchemy.dialects.postgresql import JSON, TEXT from sqlalchemy.orm import Session +from core.rag.datasource.entity.embedding import Embeddings +from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory +from core.rag.datasource.vdb.vector_type import VectorType +from models.dataset import Dataset + try: from sqlalchemy.orm import declarative_base except ImportError: @@ -53,7 +60,7 @@ def __init__(self, collection_name: str, config: RelytConfig, group_id: str): self._group_id = group_id def get_type(self) -> str: - return 'relyt' + return VectorType.RELYT def create(self, texts: list[Document], embeddings: list[list[float]], **kwargs): index_params = {} @@ -240,10 +247,10 @@ def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Doc return docs def similarity_search_with_score_by_vector( - self, - embedding: list[float], - k: int = 4, - filter: Optional[dict] = None, + self, + embedding: list[float], + k: int = 4, + filter: Optional[dict] = None, ) -> list[tuple[Document, float]]: # Add the filter if provided try: @@ -298,3 +305,28 @@ def similarity_search_with_score_by_vector( def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]: # milvus/zilliz/relyt doesn't support bm25 search return [] + + +class RelytVectorFactory(AbstractVectorFactory): + def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> RelytVector: + if dataset.index_struct_dict: + class_prefix: str = dataset.index_struct_dict['vector_store']['class_prefix'] + collection_name = class_prefix + else: + dataset_id = dataset.id + collection_name = Dataset.gen_collection_name_by_id(dataset_id) + dataset.index_struct = json.dumps( + self.gen_index_struct_dict(VectorType.RELYT, collection_name)) + + config = current_app.config + return RelytVector( + collection_name=collection_name, + config=RelytConfig( + host=config.get('RELYT_HOST'), + port=config.get('RELYT_PORT'), + user=config.get('RELYT_USER'), + password=config.get('RELYT_PASSWORD'), + database=config.get('RELYT_DATABASE'), + ), + group_id=dataset.id + ) diff --git a/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py b/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py index 107d17bb4785e0..6564c565d150db 100644 --- a/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py +++ b/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py @@ -3,14 +3,19 @@ from typing import Any import sqlalchemy +from flask import current_app from pydantic import BaseModel, root_validator from sqlalchemy import JSON, TEXT, Column, DateTime, String, Table, create_engine, insert from sqlalchemy import text as sql_text from sqlalchemy.orm import Session, declarative_base +from core.rag.datasource.entity.embedding import Embeddings from core.rag.datasource.vdb.vector_base import BaseVector +from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory +from core.rag.datasource.vdb.vector_type import VectorType from core.rag.models.document import Document from extensions.ext_redis import redis_client +from models.dataset import Dataset logger = logging.getLogger(__name__) @@ -39,6 +44,9 @@ def validate_config(cls, values: dict) -> dict: class TiDBVector(BaseVector): + def get_type(self) -> str: + return VectorType.TIDB_VECTOR + def _table(self, dim: int) -> Table: from tidb_vector.sqlalchemy import VectorType return Table( @@ -214,3 +222,28 @@ def delete(self) -> None: with Session(self._engine) as session: session.execute(sql_text(f"""DROP TABLE IF EXISTS {self._collection_name};""")) session.commit() + + +class TiDBVectorFactory(AbstractVectorFactory): + def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> TiDBVector: + + if dataset.index_struct_dict: + class_prefix: str = dataset.index_struct_dict['vector_store']['class_prefix'] + collection_name = class_prefix.lower() + else: + dataset_id = dataset.id + collection_name = Dataset.gen_collection_name_by_id(dataset_id).lower() + dataset.index_struct = json.dumps( + self.gen_index_struct_dict(VectorType.TIDB_VECTOR, collection_name)) + + config = current_app.config + return TiDBVector( + collection_name=collection_name, + config=TiDBVectorConfig( + host=config.get('TIDB_VECTOR_HOST'), + port=config.get('TIDB_VECTOR_PORT'), + user=config.get('TIDB_VECTOR_USER'), + password=config.get('TIDB_VECTOR_PASSWORD'), + database=config.get('TIDB_VECTOR_DATABASE'), + ), + ) \ No newline at end of file diff --git a/api/core/rag/datasource/vdb/vector_base.py b/api/core/rag/datasource/vdb/vector_base.py index c5212aa8f239da..9b414e4e123919 100644 --- a/api/core/rag/datasource/vdb/vector_base.py +++ b/api/core/rag/datasource/vdb/vector_base.py @@ -11,6 +11,10 @@ class BaseVector(ABC): def __init__(self, collection_name: str): self._collection_name = collection_name + @abstractmethod + def get_type(self) -> str: + raise NotImplementedError + @abstractmethod def create(self, texts: list[Document], embeddings: list[list[float]], **kwargs): raise NotImplementedError diff --git a/api/core/rag/datasource/vdb/vector_factory.py b/api/core/rag/datasource/vdb/vector_factory.py index b500b37d6064f4..852dc51a3a26e6 100644 --- a/api/core/rag/datasource/vdb/vector_factory.py +++ b/api/core/rag/datasource/vdb/vector_factory.py @@ -1,4 +1,4 @@ -import json +from abc import ABC, abstractmethod from typing import Any from flask import current_app @@ -8,9 +8,23 @@ from core.model_runtime.entities.model_entities import ModelType from core.rag.datasource.entity.embedding import Embeddings from core.rag.datasource.vdb.vector_base import BaseVector +from core.rag.datasource.vdb.vector_type import VectorType from core.rag.models.document import Document -from extensions.ext_database import db -from models.dataset import Dataset, DatasetCollectionBinding +from models.dataset import Dataset + + +class AbstractVectorFactory(ABC): + @abstractmethod + def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> BaseVector: + raise NotImplementedError + + @staticmethod + def gen_index_struct_dict(vector_type: VectorType, collection_name: str) -> dict: + index_struct_dict = { + "type": vector_type, + "vector_store": {"class_prefix": collection_name} + } + return index_struct_dict class Vector: @@ -32,188 +46,35 @@ def _init_vector(self) -> BaseVector: if not vector_type: raise ValueError("Vector store must be specified.") - if vector_type == "weaviate": - from core.rag.datasource.vdb.weaviate.weaviate_vector import WeaviateConfig, WeaviateVector - if self._dataset.index_struct_dict: - class_prefix: str = self._dataset.index_struct_dict['vector_store']['class_prefix'] - collection_name = class_prefix - else: - dataset_id = self._dataset.id - collection_name = Dataset.gen_collection_name_by_id(dataset_id) - index_struct_dict = { - "type": 'weaviate', - "vector_store": {"class_prefix": collection_name} - } - self._dataset.index_struct = json.dumps(index_struct_dict) - return WeaviateVector( - collection_name=collection_name, - config=WeaviateConfig( - endpoint=config.get('WEAVIATE_ENDPOINT'), - api_key=config.get('WEAVIATE_API_KEY'), - batch_size=int(config.get('WEAVIATE_BATCH_SIZE')) - ), - attributes=self._attributes - ) - elif vector_type == "qdrant": - from core.rag.datasource.vdb.qdrant.qdrant_vector import QdrantConfig, QdrantVector - if self._dataset.collection_binding_id: - dataset_collection_binding = db.session.query(DatasetCollectionBinding). \ - filter(DatasetCollectionBinding.id == self._dataset.collection_binding_id). \ - one_or_none() - if dataset_collection_binding: - collection_name = dataset_collection_binding.collection_name - else: - raise ValueError('Dataset Collection Bindings is not exist!') - else: - if self._dataset.index_struct_dict: - class_prefix: str = self._dataset.index_struct_dict['vector_store']['class_prefix'] - collection_name = class_prefix - else: - dataset_id = self._dataset.id - collection_name = Dataset.gen_collection_name_by_id(dataset_id) - - if not self._dataset.index_struct_dict: - index_struct_dict = { - "type": 'qdrant', - "vector_store": {"class_prefix": collection_name} - } - self._dataset.index_struct = json.dumps(index_struct_dict) - - return QdrantVector( - collection_name=collection_name, - group_id=self._dataset.id, - config=QdrantConfig( - endpoint=config.get('QDRANT_URL'), - api_key=config.get('QDRANT_API_KEY'), - root_path=current_app.root_path, - timeout=config.get('QDRANT_CLIENT_TIMEOUT'), - grpc_port=config.get('QDRANT_GRPC_PORT'), - prefer_grpc=config.get('QDRANT_GRPC_ENABLED') - ) - ) - elif vector_type == "milvus": - from core.rag.datasource.vdb.milvus.milvus_vector import MilvusConfig, MilvusVector - if self._dataset.index_struct_dict: - class_prefix: str = self._dataset.index_struct_dict['vector_store']['class_prefix'] - collection_name = class_prefix - else: - dataset_id = self._dataset.id - collection_name = Dataset.gen_collection_name_by_id(dataset_id) - index_struct_dict = { - "type": 'milvus', - "vector_store": {"class_prefix": collection_name} - } - self._dataset.index_struct = json.dumps(index_struct_dict) - return MilvusVector( - collection_name=collection_name, - config=MilvusConfig( - host=config.get('MILVUS_HOST'), - port=config.get('MILVUS_PORT'), - user=config.get('MILVUS_USER'), - password=config.get('MILVUS_PASSWORD'), - secure=config.get('MILVUS_SECURE'), - database=config.get('MILVUS_DATABASE'), - ) - ) - elif vector_type == "relyt": - from core.rag.datasource.vdb.relyt.relyt_vector import RelytConfig, RelytVector - if self._dataset.index_struct_dict: - class_prefix: str = self._dataset.index_struct_dict['vector_store']['class_prefix'] - collection_name = class_prefix - else: - dataset_id = self._dataset.id - collection_name = Dataset.gen_collection_name_by_id(dataset_id) - index_struct_dict = { - "type": 'relyt', - "vector_store": {"class_prefix": collection_name} - } - self._dataset.index_struct = json.dumps(index_struct_dict) - return RelytVector( - collection_name=collection_name, - config=RelytConfig( - host=config.get('RELYT_HOST'), - port=config.get('RELYT_PORT'), - user=config.get('RELYT_USER'), - password=config.get('RELYT_PASSWORD'), - database=config.get('RELYT_DATABASE'), - ), - group_id=self._dataset.id - ) - elif vector_type == "pgvecto_rs": - from core.rag.datasource.vdb.pgvecto_rs.pgvecto_rs import PGVectoRS, PgvectoRSConfig - if self._dataset.index_struct_dict: - class_prefix: str = self._dataset.index_struct_dict['vector_store']['class_prefix'] - collection_name = class_prefix.lower() - else: - dataset_id = self._dataset.id - collection_name = Dataset.gen_collection_name_by_id(dataset_id).lower() - index_struct_dict = { - "type": 'pgvecto_rs', - "vector_store": {"class_prefix": collection_name} - } - self._dataset.index_struct = json.dumps(index_struct_dict) - dim = len(self._embeddings.embed_query("pgvecto_rs")) - return PGVectoRS( - collection_name=collection_name, - config=PgvectoRSConfig( - host=config.get('PGVECTO_RS_HOST'), - port=config.get('PGVECTO_RS_PORT'), - user=config.get('PGVECTO_RS_USER'), - password=config.get('PGVECTO_RS_PASSWORD'), - database=config.get('PGVECTO_RS_DATABASE'), - ), - dim=dim - ) - elif vector_type == "pgvector": - from core.rag.datasource.vdb.pgvector.pgvector import PGVector, PGVectorConfig - - if self._dataset.index_struct_dict: - class_prefix: str = self._dataset.index_struct_dict["vector_store"]["class_prefix"] - collection_name = class_prefix - else: - dataset_id = self._dataset.id - collection_name = Dataset.gen_collection_name_by_id(dataset_id) - index_struct_dict = { - "type": "pgvector", - "vector_store": {"class_prefix": collection_name}} - self._dataset.index_struct = json.dumps(index_struct_dict) - return PGVector( - collection_name=collection_name, - config=PGVectorConfig( - host=config.get("PGVECTOR_HOST"), - port=config.get("PGVECTOR_PORT"), - user=config.get("PGVECTOR_USER"), - password=config.get("PGVECTOR_PASSWORD"), - database=config.get("PGVECTOR_DATABASE"), - ), - ) - elif vector_type == "tidb_vector": - from core.rag.datasource.vdb.tidb_vector.tidb_vector import TiDBVector, TiDBVectorConfig - - if self._dataset.index_struct_dict: - class_prefix: str = self._dataset.index_struct_dict['vector_store']['class_prefix'] - collection_name = class_prefix.lower() - else: - dataset_id = self._dataset.id - collection_name = Dataset.gen_collection_name_by_id(dataset_id).lower() - index_struct_dict = { - "type": 'tidb_vector', - "vector_store": {"class_prefix": collection_name} - } - self._dataset.index_struct = json.dumps(index_struct_dict) - - return TiDBVector( - collection_name=collection_name, - config=TiDBVectorConfig( - host=config.get('TIDB_VECTOR_HOST'), - port=config.get('TIDB_VECTOR_PORT'), - user=config.get('TIDB_VECTOR_USER'), - password=config.get('TIDB_VECTOR_PASSWORD'), - database=config.get('TIDB_VECTOR_DATABASE'), - ), - ) - else: - raise ValueError(f"Vector store {config.get('VECTOR_STORE')} is not supported.") + vector_factory_cls = self.get_vector_factory(vector_type) + return vector_factory_cls().init_vector(self._dataset, self._attributes, self._embeddings) + + @staticmethod + def get_vector_factory(vector_type: str) -> type[AbstractVectorFactory]: + match vector_type: + case VectorType.MILVUS: + from core.rag.datasource.vdb.milvus.milvus_vector import MilvusVectorFactory + return MilvusVectorFactory + case VectorType.PGVECTOR: + from core.rag.datasource.vdb.pgvector.pgvector import PGVectorFactory + return PGVectorFactory + case VectorType.PGVECTO_RS: + from core.rag.datasource.vdb.pgvecto_rs.pgvecto_rs import PGVectoRSFactory + return PGVectoRSFactory + case VectorType.QDRANT: + from core.rag.datasource.vdb.qdrant.qdrant_vector import QdrantVectorFactory + return QdrantVectorFactory + case VectorType.RELYT: + from core.rag.datasource.vdb.relyt.relyt_vector import RelytVectorFactory + return RelytVectorFactory + case VectorType.TIDB_VECTOR: + from core.rag.datasource.vdb.tidb_vector.tidb_vector import TiDBVectorFactory + return TiDBVectorFactory + case VectorType.WEAVIATE: + from core.rag.datasource.vdb.weaviate.weaviate_vector import WeaviateVectorFactory + return WeaviateVectorFactory + case _: + raise ValueError(f"Vector store {vector_type} is not supported.") def create(self, texts: list = None, **kwargs): if texts: diff --git a/api/core/rag/datasource/vdb/vector_type.py b/api/core/rag/datasource/vdb/vector_type.py new file mode 100644 index 00000000000000..f2e9b9b8d44618 --- /dev/null +++ b/api/core/rag/datasource/vdb/vector_type.py @@ -0,0 +1,11 @@ +from enum import Enum + + +class VectorType(str, Enum): + MILVUS = 'milvus' + PGVECTOR = 'pgvector' + PGVECTO_RS = 'pgvecto-rs' + QDRANT = 'qdrant' + RELYT = 'relyt' + TIDB_VECTOR = 'tidb_vector' + WEAVIATE = 'weaviate' diff --git a/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py b/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py index 93c7480f8ba7d1..73f9c580aad856 100644 --- a/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py +++ b/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py @@ -1,12 +1,17 @@ import datetime +import json from typing import Any, Optional import requests import weaviate +from flask import current_app from pydantic import BaseModel, root_validator +from core.rag.datasource.entity.embedding import Embeddings from core.rag.datasource.vdb.field import Field from core.rag.datasource.vdb.vector_base import BaseVector +from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory +from core.rag.datasource.vdb.vector_type import VectorType from core.rag.models.document import Document from extensions.ext_redis import redis_client from models.dataset import Dataset @@ -59,7 +64,7 @@ def _init_client(self, config: WeaviateConfig) -> weaviate.Client: return client def get_type(self) -> str: - return 'weaviate' + return VectorType.WEAVIATE def get_collection_name(self, dataset: Dataset) -> str: if dataset.index_struct_dict: @@ -255,3 +260,25 @@ def _json_serializable(self, value: Any) -> Any: if isinstance(value, datetime.datetime): return value.isoformat() return value + + +class WeaviateVectorFactory(AbstractVectorFactory): + def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> WeaviateVector: + if dataset.index_struct_dict: + class_prefix: str = dataset.index_struct_dict['vector_store']['class_prefix'] + collection_name = class_prefix + else: + dataset_id = dataset.id + collection_name = Dataset.gen_collection_name_by_id(dataset_id) + dataset.index_struct = json.dumps( + self.gen_index_struct_dict(VectorType.WEAVIATE, collection_name)) + + return WeaviateVector( + collection_name=collection_name, + config=WeaviateConfig( + endpoint=current_app.config.get('WEAVIATE_ENDPOINT'), + api_key=current_app.config.get('WEAVIATE_API_KEY'), + batch_size=int(current_app.config.get('WEAVIATE_BATCH_SIZE')) + ), + attributes=attributes + ) From 308ce66af56d4c07b637c27743761551b782b2e2 Mon Sep 17 00:00:00 2001 From: Takuya Ono Date: Sun, 9 Jun 2024 15:39:52 +0900 Subject: [PATCH 07/70] =?UTF-8?q?=F0=9F=94=A7=20fix=20docker-compose=20ssr?= =?UTF-8?q?f=5Fproxy=20service=20WARNING:=20You=20should=20probably=20remo?= =?UTF-8?q?ve=20'::/0'=20from=20the=20ACL=20named=20'all'=20=20(#5005)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- docker/volumes/ssrf_proxy/squid.conf | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docker/volumes/ssrf_proxy/squid.conf b/docker/volumes/ssrf_proxy/squid.conf index 3028bf35c6a569..be13d0e8987d6d 100644 --- a/docker/volumes/ssrf_proxy/squid.conf +++ b/docker/volumes/ssrf_proxy/squid.conf @@ -46,5 +46,5 @@ logfile_rotate 0 ################################## Reverse Proxy To Sandbox ################################ http_port 8194 accel vhost cache_peer sandbox parent 8194 0 no-query originserver -acl all src all -http_access allow all \ No newline at end of file +acl src_all src all +http_access allow src_all \ No newline at end of file From 2573b138bf43c2a5902173036ac0b16026a807e4 Mon Sep 17 00:00:00 2001 From: Jaxon Ley Date: Sun, 9 Jun 2024 14:44:11 +0800 Subject: [PATCH 08/70] fix: update presence_penalty configuration for wenxin AI ernie-4.0-8k and ernie-3.5-8k models (#5039) --- .../model_runtime/model_providers/wenxin/llm/ernie-3.5-8k.yaml | 3 +++ .../model_runtime/model_providers/wenxin/llm/ernie-4.0-8k.yaml | 3 +++ 2 files changed, 6 insertions(+) diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k.yaml index 555d0b0a80225e..145844a4fffe85 100644 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k.yaml +++ b/api/core/model_runtime/model_providers/wenxin/llm/ernie-3.5-8k.yaml @@ -22,6 +22,9 @@ parameter_rules: max: 2048 - name: presence_penalty use_template: presence_penalty + default: 1.0 + min: 1.0 + max: 2.0 - name: frequency_penalty use_template: frequency_penalty - name: response_format diff --git a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-8k.yaml b/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-8k.yaml index 483b6df739feb6..9ebb5c8c4fe36b 100644 --- a/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-8k.yaml +++ b/api/core/model_runtime/model_providers/wenxin/llm/ernie-4.0-8k.yaml @@ -22,6 +22,9 @@ parameter_rules: max: 2048 - name: presence_penalty use_template: presence_penalty + default: 1.0 + min: 1.0 + max: 2.0 - name: frequency_penalty use_template: frequency_penalty - name: response_format From 5986841e276b9af85d86c24e93963f582e7c3397 Mon Sep 17 00:00:00 2001 From: takatost Date: Sun, 9 Jun 2024 20:28:24 +0800 Subject: [PATCH 09/70] fix: issue where an error occurs when invoking TTS without selecting a voice (#5046) --- api/controllers/web/audio.py | 2 +- api/core/model_manager.py | 2 +- api/services/audio_service.py | 7 +++++++ 3 files changed, 9 insertions(+), 2 deletions(-) diff --git a/api/controllers/web/audio.py b/api/controllers/web/audio.py index ca6d774e9d970a..3fed7895e26249 100644 --- a/api/controllers/web/audio.py +++ b/api/controllers/web/audio.py @@ -74,7 +74,7 @@ def post(self, app_model: App, end_user): app_model=app_model, text=request.form['text'], end_user=end_user.external_user_id, - voice=request.form['voice'] if request.form.get('voice') else app_model.app_model_config.text_to_speech_dict.get('voice'), + voice=request.form['voice'] if request.form.get('voice') else None, streaming=False ) diff --git a/api/core/model_manager.py b/api/core/model_manager.py index 8da8442e602ffb..51dff09609472f 100644 --- a/api/core/model_manager.py +++ b/api/core/model_manager.py @@ -328,7 +328,7 @@ def _round_robin_invoke(self, function: callable, *args, **kwargs): except Exception as e: raise e - def get_tts_voices(self, language: str) -> list: + def get_tts_voices(self, language: Optional[str] = None) -> list: """ Invoke large language tts model voices diff --git a/api/services/audio_service.py b/api/services/audio_service.py index d013a51c3e6507..965df918d86744 100644 --- a/api/services/audio_service.py +++ b/api/services/audio_service.py @@ -93,6 +93,13 @@ def transcript_tts(cls, app_model: App, text: str, streaming: bool, raise ProviderNotSupportTextToSpeechServiceError() try: + if not voice: + voices = model_instance.get_tts_voices() + if voices: + voice = voices[0].get('value') + else: + raise ValueError("Sorry, no voice available.") + return model_instance.invoke_tts( content_text=text.strip(), user=end_user, From 9103112555fcda68aa94bbca37d704a55a30a622 Mon Sep 17 00:00:00 2001 From: Pascal M <11357019+perzeuss@users.noreply.github.com> Date: Tue, 11 Jun 2024 05:20:52 +0200 Subject: [PATCH 10/70] fix: wrong link to web app repo in chatflow mode (#5062) --- web/app/components/app/overview/customize/index.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/web/app/components/app/overview/customize/index.tsx b/web/app/components/app/overview/customize/index.tsx index 5baf6dd4d391b3..cc74b175b42d69 100644 --- a/web/app/components/app/overview/customize/index.tsx +++ b/web/app/components/app/overview/customize/index.tsx @@ -44,7 +44,7 @@ const CustomizeModal: FC = ({ }) => { const { t } = useTranslation() const { locale } = useContext(I18n) - const isChatApp = mode === 'chat' + const isChatApp = mode === 'chat' || mode === 'advanced-chat' return Date: Tue, 11 Jun 2024 05:21:38 +0200 Subject: [PATCH 11/70] feat: add dataset delete endpoint (#5048) --- .../service_api/dataset/dataset.py | 36 ++++++++++++++++-- .../datasets/template/template.en.mdx | 37 +++++++++++++++++++ .../datasets/template/template.zh.mdx | 37 +++++++++++++++++++ 3 files changed, 106 insertions(+), 4 deletions(-) diff --git a/api/controllers/service_api/dataset/dataset.py b/api/controllers/service_api/dataset/dataset.py index bf08291d7b9f87..dcbfa88d99487d 100644 --- a/api/controllers/service_api/dataset/dataset.py +++ b/api/controllers/service_api/dataset/dataset.py @@ -1,5 +1,6 @@ from flask import request from flask_restful import marshal, reqparse +from werkzeug.exceptions import NotFound import services.dataset_service from controllers.service_api import api @@ -19,10 +20,12 @@ def _validate_name(name): return name -class DatasetApi(DatasetApiResource): - """Resource for get datasets.""" +class DatasetListApi(DatasetApiResource): + """Resource for datasets.""" def get(self, tenant_id): + """Resource for getting datasets.""" + page = request.args.get('page', default=1, type=int) limit = request.args.get('limit', default=20, type=int) provider = request.args.get('provider', default="vendor") @@ -65,9 +68,9 @@ def get(self, tenant_id): } return response, 200 - """Resource for datasets.""" def post(self, tenant_id): + """Resource for creating datasets.""" parser = reqparse.RequestParser() parser.add_argument('name', nullable=False, required=True, help='type is required. Name must be between 1 to 40 characters.', @@ -89,6 +92,31 @@ def post(self, tenant_id): return marshal(dataset, dataset_detail_fields), 200 +class DatasetApi(DatasetApiResource): + """Resource for dataset.""" + + def delete(self, _, dataset_id): + """ + Deletes a dataset given its ID. + + Args: + dataset_id (UUID): The ID of the dataset to be deleted. + + Returns: + dict: A dictionary with a key 'result' and a value 'success' + if the dataset was successfully deleted. Omitted in HTTP response. + int: HTTP status code 204 indicating that the operation was successful. + + Raises: + NotFound: If the dataset with the given ID does not exist. + """ + + dataset_id_str = str(dataset_id) -api.add_resource(DatasetApi, '/datasets') + if DatasetService.delete_dataset(dataset_id_str, current_user): + return {'result': 'success'}, 204 + else: + raise NotFound("Dataset not found.") +api.add_resource(DatasetListApi, '/datasets') +api.add_resource(DatasetApi, '/datasets/') diff --git a/web/app/(commonLayout)/datasets/template/template.en.mdx b/web/app/(commonLayout)/datasets/template/template.en.mdx index 3775d30d246e1c..36395d391de1b3 100644 --- a/web/app/(commonLayout)/datasets/template/template.en.mdx +++ b/web/app/(commonLayout)/datasets/template/template.en.mdx @@ -345,6 +345,43 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from --- + + + + ### Params + + + Knowledge ID + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request DELETE '${props.apiBaseUrl}/datasets/{dataset_id}' \ + --header 'Authorization: Bearer {api_key}' + ``` + + + ```text {{ title: 'Response' }} + 204 No Content + ``` + + + + +--- + + + + ### Path + + + 知识库 ID + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request DELETE '${props.apiBaseUrl}/datasets/{dataset_id}' \ + --header 'Authorization: Bearer {api_key}' + ``` + + + ```text {{ title: 'Response' }} + 204 No Content + ``` + + + + +--- + Date: Tue, 11 Jun 2024 11:22:22 +0800 Subject: [PATCH 12/70] chore: update maas model provider description (#5056) --- .../volcengine_maas/llm/models.py | 20 +++++++++++++++++++ .../volcengine_maas/volcengine_maas.yaml | 18 +++++++++++++++-- 2 files changed, 36 insertions(+), 2 deletions(-) diff --git a/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py b/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py index 2e8ff314fc407d..a2bd81b94553da 100644 --- a/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py +++ b/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py @@ -69,4 +69,24 @@ 'mode': 'chat', } }, + 'Llama3-8B': { + 'req_params': { + 'max_prompt_tokens': 8192, + 'max_new_tokens': 8192, + }, + 'model_properties': { + 'context_size': 8192, + 'mode': 'chat', + } + }, + 'Llama3-70B': { + 'req_params': { + 'max_prompt_tokens': 8192, + 'max_new_tokens': 8192, + }, + 'model_properties': { + 'context_size': 8192, + 'mode': 'chat', + } + } } diff --git a/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml b/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml index d7bcbd43f80670..4d468969b74edd 100644 --- a/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml +++ b/api/core/model_runtime/model_providers/volcengine_maas/volcengine_maas.yaml @@ -2,7 +2,8 @@ provider: volcengine_maas label: en_US: Volcengine description: - en_US: Volcengine MaaS models. + en_US: Volcengine Ark models. + zh_Hans: 火山方舟提供的模型，例如 Doubao-pro-4k、Doubao-pro-32k 和 Doubao-pro-128k。 icon_small: en_US: icon_s_en.svg icon_large: @@ -12,6 +13,7 @@ background: "#F9FAFB" help: title: en_US: Get your Access Key and Secret Access Key from Volcengine Console + zh_Hans: 从火山引擎控制台获取您的 Access Key 和 Secret Access Key url: en_US: https://console.volcengine.com/iam/keymanage/ supported_model_types: @@ -50,7 +52,7 @@ model_credential_schema: required: true label: en_US: Volcengine Region - zh_Hans: 火山引擎地区 + zh_Hans: 火山引擎地域 type: text-input default: cn-beijing placeholder: @@ -124,6 +126,18 @@ model_credential_schema: show_on: - variable: __model_type value: llm + - label: + en_US: Llama3-8B + value: Llama3-8B + show_on: + - variable: __model_type + value: llm + - label: + en_US: Llama3-70B + value: Llama3-70B + show_on: + - variable: __model_type + value: llm - label: en_US: Doubao-embedding value: Doubao-embedding From f426e1b3bd6c90518d8924e84ff29ec06ab5c3c8 Mon Sep 17 00:00:00 2001 From: Takuya Ono Date: Tue, 11 Jun 2024 13:32:05 +0900 Subject: [PATCH 13/70] =?UTF-8?q?=F0=9F=94=A7=20Fix(docker/volumes/ssrf=5F?= =?UTF-8?q?proxy/squid.conf):=20=20The=20squid=20process=20on=20ssrf=5Fpro?= =?UTF-8?q?xy=20docker=20service=20crashes=20at=20startup=20(#5050)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- docker/volumes/ssrf_proxy/squid.conf | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/docker/volumes/ssrf_proxy/squid.conf b/docker/volumes/ssrf_proxy/squid.conf index be13d0e8987d6d..06bedb8aaf928f 100644 --- a/docker/volumes/ssrf_proxy/squid.conf +++ b/docker/volumes/ssrf_proxy/squid.conf @@ -23,7 +23,7 @@ http_access deny CONNECT !SSL_ports http_access allow localhost manager http_access deny manager http_access allow localhost -http_access allow localnet +include /etc/squid/conf.d/*.conf http_access deny all ################################## Proxy Server ################################ @@ -37,7 +37,6 @@ refresh_pattern \/Release(|\.gpg)$ 0 0% 0 refresh-ims refresh_pattern \/InRelease$ 0 0% 0 refresh-ims refresh_pattern \/(Translation-.*)(|\.bz2|\.gz|\.xz)$ 0 0% 0 refresh-ims refresh_pattern . 0 20% 4320 -logfile_rotate 0 # upstream proxy, set to your own upstream proxy IP to avoid SSRF attacks # cache_peer 172.1.1.1 parent 3128 0 no-query no-digest no-netdb-exchange default @@ -47,4 +46,4 @@ logfile_rotate 0 http_port 8194 accel vhost cache_peer sandbox parent 8194 0 no-query originserver acl src_all src all -http_access allow src_all \ No newline at end of file +http_access allow src_all From f62f71a81af0ff608f808f8c241ba9299d99c37a Mon Sep 17 00:00:00 2001 From: Matri Date: Tue, 11 Jun 2024 13:11:28 +0800 Subject: [PATCH 14/70] build: initial support for poetry build tool (#4513) Co-authored-by: Bowen Liang --- .github/workflows/api-tests.yml | 72 + api/.vscode/launch.json | 6 +- api/README.md | 17 +- api/poetry.lock | 7197 +++++++++++++++++++++++++++++++ api/poetry.toml | 4 + api/pyproject.toml | 110 + 6 files changed, 7403 insertions(+), 3 deletions(-) create mode 100644 api/poetry.lock create mode 100644 api/poetry.toml diff --git a/.github/workflows/api-tests.yml b/.github/workflows/api-tests.yml index 82cfdcea068a78..3aa70420b35d8d 100644 --- a/.github/workflows/api-tests.yml +++ b/.github/workflows/api-tests.yml @@ -79,3 +79,75 @@ jobs: - name: Test Vector Stores run: dev/pytest/pytest_vdb.sh + + test-in-poetry: + runs-on: ubuntu-latest + strategy: + matrix: + python-version: + - "3.10" + - "3.11" + + steps: + - name: Install poetry + uses: abatilo/actions-poetry@v3 + with: + poetry-version: "1.8.1" + + - name: Checkout code + uses: actions/checkout@v4 + + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + cache: 'poetry' + cache-dependency-path: ./api/poetry.lock + + - name: Poetry check + run: poetry check -C api + + - name: Install dependencies + run: poetry install -C api + + - name: Run Unit tests + run: poetry run -C api bash dev/pytest/pytest_unit_tests.sh + + - name: Run ModelRuntime + run: poetry run -C api bash dev/pytest/pytest_model_runtime.sh + + - name: Run Tool + run: poetry run -C api bash dev/pytest/pytest_tools.sh + + - name: Set up Sandbox + uses: hoverkraft-tech/compose-action@v2.0.0 + with: + compose-file: | + docker/docker-compose.middleware.yaml + services: | + sandbox + ssrf_proxy + + - name: Run Workflow + run: poetry run -C api bash dev/pytest/pytest_workflow.sh + + - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS) + uses: hoverkraft-tech/compose-action@v2.0.0 + with: + compose-file: | + docker/docker-compose.middleware.yaml + docker/docker-compose.qdrant.yaml + docker/docker-compose.milvus.yaml + docker/docker-compose.pgvecto-rs.yaml + docker/docker-compose.pgvector.yaml + services: | + weaviate + qdrant + etcd + minio + milvus-standalone + pgvecto-rs + pgvector + + - name: Test Vector Stores + run: poetry run -C api bash dev/pytest/pytest_vdb.sh diff --git a/api/.vscode/launch.json b/api/.vscode/launch.json index 4390e7ef443177..2039d2ca94fcea 100644 --- a/api/.vscode/launch.json +++ b/api/.vscode/launch.json @@ -17,7 +17,8 @@ "FLASK_DEBUG": "1", "GEVENT_SUPPORT": "True" }, - "console": "integratedTerminal" + "console": "integratedTerminal", + "python": "${command:python.interpreterPath}" }, { "name": "Python: Flask", @@ -36,7 +37,8 @@ "--debug" ], "jinja": true, - "justMyCode": true + "justMyCode": true, + "python": "${command:python.interpreterPath}" } ] } \ No newline at end of file diff --git a/api/README.md b/api/README.md index 3d73c63dbb54c7..4ae9875228c8c9 100644 --- a/api/README.md +++ b/api/README.md @@ -17,15 +17,30 @@ ```bash sed -i "/^SECRET_KEY=/c\SECRET_KEY=$(openssl rand -base64 42)" .env ``` -4. If you use Anaconda, create a new environment and activate it +4. Create environment. + - Anaconda + If you use Anaconda, create a new environment and activate it ```bash conda create --name dify python=3.10 conda activate dify ``` + - Poetry + If you use Poetry, you don't need to manually create the environment. You can execute `poetry shell` to activate the environment. 5. Install dependencies + - Anaconda ```bash pip install -r requirements.txt ``` + - Poetry + ```bash + poetry install + ``` + In case of contributors missing to update dependencies for `pyproject.toml`, you can perform the following shell instead. + ```base + poetry shell # activate current environment + poetry add $(cat requirements.txt) # install dependencies of production and update pyproject.toml + poetry add $(cat requirements-dev.txt) --group dev # install dependencies of development and update pyproject.toml + ``` 6. 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CODE_MAX_STRING_LENGTH = "80000" CODE_EXECUTION_ENDPOINT="http://127.0.0.1:8194" CODE_EXECUTION_API_KEY="dify-sandbox" + + +[tool.poetry] +name = "dify-api" +version = "0.6.10" +description = "" +authors = ["Dify "] +readme = "README.md" + +[tool.poetry.dependencies] +python = "^3.10" +beautifulsoup4 = "^4.12.2" +flask = "^3.0.1" +flask-sqlalchemy = "^3.0.5" +sqlalchemy = "^2.0.29" +flask-compress = "^1.14" +flask-login = "^0.6.3" +flask-migrate = "^4.0.5" +flask-restful = "^0.3.10" +flask-cors = "^4.0.0" +gunicorn = "^22.0.0" +gevent = "^23.9.1" +openai = "^1.29.0" +tiktoken = "^0.7.0" +psycopg2-binary = "^2.9.6" +pycryptodome = "3.19.1" +python-dotenv = "1.0.0" +authlib = "1.2.0" +boto3 = "^1.28.17" +tenacity = "^8.2.2" +cachetools = "^5.3.0" +weaviate-client = "^3.21.0" +mailchimp-transactional = "^1.0.50" +scikit-learn = "1.2.2" +sentry-sdk = {version = "^1.39.2", extras = ["flask"]} +sympy = "1.12" +jieba = "0.42.1" +celery = "^5.3.6" +redis = {version = "^5.0.3", extras = 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2024 13:43:54 +0300 Subject: [PATCH 15/70] Arabic README.md (#5078) --- README.md | 1 + README_AR.md | 225 +++++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 226 insertions(+) create mode 100644 README_AR.md diff --git a/README.md b/README.md index c43b52d7ad27ce..d81e5c76720078 100644 --- a/README.md +++ b/README.md @@ -36,6 +36,7 @@ README en Français README tlhIngan Hol README in Korean + README بالعربية

diff --git a/README_AR.md b/README_AR.md new file mode 100644 index 00000000000000..9716346fd2b313 --- /dev/null +++ b/README_AR.md @@ -0,0 +1,225 @@ +![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab) + +

+ Dify Cloud · + الاستضافة الذاتية · + التوثيق · + استفسارات الشركات +

+ +

+ + Static Badge + + Static Badge + + chat on Discord + + follow on Twitter + + Docker Pulls + + Commits last month + + Issues closed + + Discussion posts +

+ +

+ README in English + 简体中文版自述文件 + 日本語のREADME + README en Español + README en Français + README tlhIngan Hol + README in Korean + README بالعربية +

+ +
+مشروع Dify هو منصة تطوير تطبيقات الذكاء الصناعي مفتوحة المصدر. تجمع واجهته البديهية بين سير العمل الذكي بالذكاء الاصطناعي وخط أنابيب RAG وقدرات الوكيل وإدارة النماذج وميزات الملاحظة وأكثر من ذلك، مما يتيح لك الانتقال بسرعة من المرحلة التجريبية إلى الإنتاج. إليك قائمة بالميزات الأساسية: +

+ +**1. سير العمل**: قم ببناء واختبار سير عمل الذكاء الاصطناعي القوي على قماش بصري، مستفيدًا من جميع الميزات التالية وأكثر. + + https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa + + +**2. الدعم الشامل للنماذج**: تكامل سلس مع مئات من LLMs الخاصة / مفتوحة المصدر من عشرات من موفري التحليل والحلول المستضافة ذاتيًا، مما يغطي GPT و Mistral و Llama3 وأي نماذج متوافقة مع واجهة OpenAI API. يمكن العثور على قائمة كاملة بمزودي النموذج المدعومين [هنا](https://docs.dify.ai/getting-started/readme/model-providers). + +![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3) + +**3. بيئة التطوير للأوامر**: واجهة بيئة التطوير المبتكرة لصياغة الأمر ومقارنة أداء النموذج، وإضافة ميزات إضافية مثل تحويل النص إلى كلام إلى تطبيق قائم على الدردشة. + +**4. خط أنابيب RAG**: قدرات RAG الواسعة التي تغطي كل شيء من استيعاب الوثائق إلى الاسترجاع، مع الدعم الفوري لاستخراج النص من ملفات PDF و PPT وتنسيقات الوثائق الشائعة الأخرى. + +**5. قدرات الوكيل**: يمكنك تعريف الوكلاء بناءً على أمر وظيفة LLM أو ReAct، وإضافة أدوات مدمجة أو مخصصة للوكيل. توفر Dify أكثر من 50 أداة مدمجة لوكلاء الذكاء الاصطناعي، مثل البحث في Google و DELL·E وStable Diffusion و WolframAlpha. + +**6. الـ LLMOps**: راقب وتحلل سجلات التطبيق والأداء على مر الزمن. يمكنك تحسين الأوامر والبيانات والنماذج باستمرار استنادًا إلى البيانات الإنتاجية والتعليقات. + +**7.الواجهة الخلفية (Backend) كخدمة**: تأتي جميع عروض Dify مع APIs مطابقة، حتى يمكنك دمج Dify بسهولة في منطق أعمالك الخاص. +## مقارنة الميزات + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
الميزةDify.AILangChainFlowiseOpenAI Assistants API
نهج البرمجةموجّه لـ تطبيق + واجهة برمجة تطبيق (API)برمجة Pythonموجه لتطبيقواجهة برمجة تطبيق (API)
LLMs المدعومةتنوع غنيتنوع غنيتنوع غنيفقط OpenAI
محرك RAG✅✅✅✅
الوكيل✅✅❌✅
سير العمل✅❌✅❌
الملاحظة✅✅❌❌
ميزات الشركات (SSO / مراقبة الوصول)✅❌❌❌
نشر محلي✅✅✅❌
+ + +## استخدام Dify +- **سحابة
** +نحن نستضيف [خدمة Dify Cloud](https://dify.ai) لأي شخص لتجربتها بدون أي إعدادات. توفر كل قدرات النسخة التي تمت استضافتها ذاتيًا، وتتضمن 200 أمر GPT-4 مجانًا في خطة الصندوق الرملي. + +- **استضافة ذاتية لنسخة المجتمع Dify
** +ابدأ سريعًا في تشغيل Dify في بيئتك باستخدام [دليل البدء السريع](#البدء السريع). +استخدم [توثيقنا](https://docs.dify.ai) للمزيد من المراجع والتعليمات الأعمق. + +- **مشروع Dify للشركات / المؤسسات
** +نحن نوفر ميزات إضافية مركزة على الشركات. [جدول اجتماع معنا](https://cal.com/guchenhe/30min) أو [أرسل لنا بريدًا إلكترونيًا](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) لمناقشة احتياجات الشركات.
+> بالنسبة للشركات الناشئة والشركات الصغيرة التي تستخدم خدمات AWS، تحقق من [Dify Premium على AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) ونشرها في شبكتك الخاصة على AWS VPC بنقرة واحدة. إنها عرض AMI بأسعار معقولة مع خيار إنشاء تطبيقات بشعار وعلامة تجارية مخصصة. +## البقاء قدمًا + +قم بإضافة نجمة إلى Dify على GitHub وتلق تنبيهًا فوريًا بالإصدارات الجديدة. + +![نجمنا](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4) +## البداية السريعة +> قبل تثبيت Dify، تأكد من أن جهازك يلبي الحد الأدنى من متطلبات النظام التالية: +> +>- معالج >= 2 نواة +>- ذاكرة وصول عشوائي (RAM) >= 4 جيجابايت + +
+ +أسهل طريقة لبدء تشغيل خادم Dify هي تشغيل ملف [docker-compose.yml](docker/docker-compose.yaml) الخاص بنا. قبل تشغيل أمر التثبيت، تأكد من تثبيت [Docker](https://docs.docker.com/get-docker/) و [Docker Compose](https://docs.docker.com/compose/install/) على جهازك: + +```bash +cd docker +docker compose up -d +``` +بعد التشغيل، يمكنك الوصول إلى لوحة تحكم Dify في متصفحك على [http://localhost/install](http://localhost/install) وبدء عملية التهيئة. + +> إذا كنت ترغب في المساهمة في Dify أو القيام بتطوير إضافي، فانظر إلى [دليلنا للنشر من الشفرة (code) المصدرية](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code) + +## الخطوات التالية + +إذا كنت بحاجة إلى تخصيص التكوين، يرجى الرجوع إلى التعليقات في ملف [docker-compose.yml](docker/docker-compose.yaml) لدينا وتعيين التكوينات البيئية يدويًا. بعد إجراء التغييرات، يرجى تشغيل `docker-compose up -d` مرة أخرى. يمكنك رؤية قائمة كاملة بالمتغيرات البيئية [هنا](https://docs.dify.ai/getting-started/install-self-hosted/environments). + +إذا كنت ترغب في تكوين إعداد متوفر بشكل عالي، فهناك [رسوم بيانية Helm](https://helm.sh/) المساهمة من المجتمع تسمح بنشر Dify على Kubernetes. + +- [رسم بياني Helm من قبل @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify) +- [رسم بياني Helm من قبل @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm) + + +## المساهمة + +لأولئك الذين يرغبون في المساهمة، انظر إلى [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) لدينا. +في الوقت نفسه، يرجى النظر في دعم Dify عن طريق مشاركته على وسائل التواصل الاجتماعي وفي الفعاليات والمؤتمرات. + + +> نحن نبحث عن مساهمين لمساعدة في ترجمة Dify إلى لغات أخرى غير اللغة الصينية المندرين أو الإنجليزية. إذا كنت مهتمًا بالمساعدة، يرجى الاطلاع على [README للترجمة](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) لمزيد من المعلومات، واترك لنا تعليقًا في قناة `global-users` على [خادم المجتمع على Discord](https://discord.gg/8Tpq4AcN9c). + +**المساهمون** + + + + + +## المجتمع والاتصال +* [مناقشة Github](https://github.com/langgenius/dify/discussions). الأفضل لـ: مشاركة التعليقات وطرح الأسئلة. +* [المشكلات على GitHub](https://github.com/langgenius/dify/issues). الأفضل لـ: الأخطاء التي تواجهها في استخدام Dify.AI، واقتراحات الميزات. انظر [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). +* [البريد الإلكتروني](mailto:support@dify.ai?subject=[GitHub]Questions%20About%20Dify). الأفضل لـ: الأسئلة التي تتعلق باستخدام Dify.AI. +* [Discord](https://discord.gg/FngNHpbcY7). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع. +* [تويتر](https://twitter.com/dify_ai). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع. + +أو، قم بجدولة اجتماع مباشرة مع أحد أعضاء الفريق: + + + + + + + + + + + + + + +
نقطة الاتصالالغرض
Git-Hub-README-Button-3xاستفسارات الأعمال واقتراحات حول المنتج
Git-Hub-README-Button-2xالمساهمات والمشكلات وطلبات الميزات
+ +## تاريخ النجمة + +[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date) + + +## الكشف عن الأمان + +لحماية خصوصيتك، يرجى تجنب نشر مشكلات الأمان على GitHub. بدلاً من ذلك، أرسل أسئلتك إلى security@dify.ai وسنقدم لك إجابة أكثر تفصيلاً. + +## الرخصة + +هذا المستودع متاح تحت [رخصة البرنامج الحر Dify](LICENSE)، والتي تعتبر بشكل أساسي Apache 2.0 مع بعض القيود الإضافية. 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160 insertions(+) create mode 100644 api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml create mode 100644 api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml create mode 100644 api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml create mode 100644 api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml create mode 100644 api/core/model_runtime/model_providers/zhipuai/text_embedding/embedding-2.yaml diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml new file mode 100644 index 00000000000000..3968e8f26822ab --- /dev/null +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml @@ -0,0 +1,39 @@ +model: glm-4-0520 +label: + en_US: glm-4-0520 +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat +parameter_rules: + - name: temperature + use_template: temperature + default: 0.95 + min: 0.0 + max: 1.0 + help: + zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 + en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: top_p + use_template: top_p + default: 0.7 + help: + zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 + en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: incremental + label: + zh_Hans: 增量返回 + en_US: Incremental + type: boolean + help: + zh_Hans: SSE接口调用时，用于控制每次返回内容方式是增量还是全量，不提供此参数时默认为增量返回，true 为增量返回，false 为全量返回。 + en_US: When the SSE interface is called, it is used to control whether the content is returned incrementally or in full. If this parameter is not provided, the default is incremental return. true means incremental return, false means full return. + required: false + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 8192 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml new file mode 100644 index 00000000000000..ae2d5e5d533d1a --- /dev/null +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml @@ -0,0 +1,39 @@ +model: glm-4-air +label: + en_US: glm-4-air +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat +parameter_rules: + - name: temperature + use_template: temperature + default: 0.95 + min: 0.0 + max: 1.0 + help: + zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 + en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: top_p + use_template: top_p + default: 0.7 + help: + zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 + en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: incremental + label: + zh_Hans: 增量返回 + en_US: Incremental + type: boolean + help: + zh_Hans: SSE接口调用时，用于控制每次返回内容方式是增量还是全量，不提供此参数时默认为增量返回，true 为增量返回，false 为全量返回。 + en_US: When the SSE interface is called, it is used to control whether the content is returned incrementally or in full. If this parameter is not provided, the default is incremental return. true means incremental return, false means full return. + required: false + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 8192 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml new file mode 100644 index 00000000000000..c0038a1ab223df --- /dev/null +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml @@ -0,0 +1,39 @@ +model: glm-4-airx +label: + en_US: glm-4-airx +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat +parameter_rules: + - name: temperature + use_template: temperature + default: 0.95 + min: 0.0 + max: 1.0 + help: + zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 + en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: top_p + use_template: top_p + default: 0.7 + help: + zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 + en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: incremental + label: + zh_Hans: 增量返回 + en_US: Incremental + type: boolean + help: + zh_Hans: SSE接口调用时，用于控制每次返回内容方式是增量还是全量，不提供此参数时默认为增量返回，true 为增量返回，false 为全量返回。 + en_US: When the SSE interface is called, it is used to control whether the content is returned incrementally or in full. If this parameter is not provided, the default is incremental return. true means incremental return, false means full return. + required: false + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 8192 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml new file mode 100644 index 00000000000000..650f9faee6ea0d --- /dev/null +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml @@ -0,0 +1,39 @@ +model: glm-4-flash +label: + en_US: glm-4-flash +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat +parameter_rules: + - name: temperature + use_template: temperature + default: 0.95 + min: 0.0 + max: 1.0 + help: + zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 + en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: top_p + use_template: top_p + default: 0.7 + help: + zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 + en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: incremental + label: + zh_Hans: 增量返回 + en_US: Incremental + type: boolean + help: + zh_Hans: SSE接口调用时，用于控制每次返回内容方式是增量还是全量，不提供此参数时默认为增量返回，true 为增量返回，false 为全量返回。 + en_US: When the SSE interface is called, it is used to control whether the content is returned incrementally or in full. If this parameter is not provided, the default is incremental return. true means incremental return, false means full return. + required: false + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 8192 diff --git a/api/core/model_runtime/model_providers/zhipuai/text_embedding/embedding-2.yaml b/api/core/model_runtime/model_providers/zhipuai/text_embedding/embedding-2.yaml new file mode 100644 index 00000000000000..faf0f818c4a782 --- /dev/null +++ b/api/core/model_runtime/model_providers/zhipuai/text_embedding/embedding-2.yaml @@ -0,0 +1,4 @@ +model: embedding-2 +model_type: text-embedding +model_properties: + context_size: 512 From 5f104bab57c4ff4a5ea47c4218e4cd255d265639 Mon Sep 17 00:00:00 2001 From: KVOJJJin Date: Wed, 12 Jun 2024 08:23:39 +0800 Subject: [PATCH 18/70] Fix: infinite loading not work when message is too short (#5075) --- web/app/components/app/log/list.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/web/app/components/app/log/list.tsx b/web/app/components/app/log/list.tsx index c2ce0b56330802..a3296da4d01948 100644 --- a/web/app/components/app/log/list.tsx +++ b/web/app/components/app/log/list.tsx @@ -185,7 +185,7 @@ function DetailPanel Date: Wed, 12 Jun 2024 07:24:58 +0700 Subject: [PATCH 19/70] fix: autoHeightTextarea dimensions in Firefox (#4891) --- web/app/components/base/auto-height-textarea/common.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/web/app/components/base/auto-height-textarea/common.tsx b/web/app/components/base/auto-height-textarea/common.tsx index 0c500974d02af1..6ec4612c2ed8e7 100644 --- a/web/app/components/base/auto-height-textarea/common.tsx +++ b/web/app/components/base/auto-height-textarea/common.tsx @@ -38,7 +38,7 @@ const AutoHeightTextarea = forwardRef Date: Wed, 12 Jun 2024 09:30:01 +0900 Subject: [PATCH 20/70] fix: Google HL Parameter for SearchApi (#5071) --- api/core/tools/provider/builtin/searchapi/tools/google.yaml | 2 +- .../tools/provider/builtin/searchapi/tools/google_jobs.yaml | 2 +- .../tools/provider/builtin/searchapi/tools/google_news.yaml | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/api/core/tools/provider/builtin/searchapi/tools/google.yaml b/api/core/tools/provider/builtin/searchapi/tools/google.yaml index 566de84b138eda..eab753e5e895c9 100644 --- a/api/core/tools/provider/builtin/searchapi/tools/google.yaml +++ b/api/core/tools/provider/builtin/searchapi/tools/google.yaml @@ -353,7 +353,7 @@ parameters: label: en_US: Italian zh_Hans: 意大利语 - - value: jp + - value: ja label: en_US: Japanese zh_Hans: 日语 diff --git a/api/core/tools/provider/builtin/searchapi/tools/google_jobs.yaml b/api/core/tools/provider/builtin/searchapi/tools/google_jobs.yaml index 486b193efa396e..73026d7c41bd60 100644 --- a/api/core/tools/provider/builtin/searchapi/tools/google_jobs.yaml +++ b/api/core/tools/provider/builtin/searchapi/tools/google_jobs.yaml @@ -353,7 +353,7 @@ parameters: label: en_US: Italian zh_Hans: 意大利语 - - value: jp + - value: ja label: en_US: Japanese zh_Hans: 日语 diff --git a/api/core/tools/provider/builtin/searchapi/tools/google_news.yaml b/api/core/tools/provider/builtin/searchapi/tools/google_news.yaml index b0212952e60138..719cf6119becb8 100644 --- a/api/core/tools/provider/builtin/searchapi/tools/google_news.yaml +++ b/api/core/tools/provider/builtin/searchapi/tools/google_news.yaml @@ -353,7 +353,7 @@ parameters: label: en_US: Italian zh_Hans: 意大利语 - - value: jp + - value: ja label: en_US: Japanese zh_Hans: 日语 From 3b36ba797f6e2c409526cb39a82493a9f07ef48f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=9D=9E=E6=B3=95=E6=93=8D=E4=BD=9C?= Date: Wed, 12 Jun 2024 10:04:10 +0800 Subject: [PATCH 21/70] feat: add duckduckgo img search, translate, ai chat (#5074) --- .../provider/builtin/duckduckgo/duckduckgo.py | 2 +- .../builtin/duckduckgo/tools/ddgo_ai.py | 20 ++ .../builtin/duckduckgo/tools/ddgo_ai.yaml | 41 +++++ .../builtin/duckduckgo/tools/ddgo_img.py | 25 +++ .../builtin/duckduckgo/tools/ddgo_img.yaml | 88 +++++++++ .../builtin/duckduckgo/tools/ddgo_search.py | 29 +++ .../builtin/duckduckgo/tools/ddgo_search.yaml | 65 +++++++ .../duckduckgo/tools/ddgo_translate.py | 20 ++ .../duckduckgo/tools/ddgo_translate.yaml | 51 ++++++ .../duckduckgo/tools/duckduckgo_search.py | 171 ------------------ .../duckduckgo/tools/duckduckgo_search.yaml | 23 --- 11 files changed, 340 insertions(+), 195 deletions(-) create mode 100644 api/core/tools/provider/builtin/duckduckgo/tools/ddgo_ai.py create mode 100644 api/core/tools/provider/builtin/duckduckgo/tools/ddgo_ai.yaml create mode 100644 api/core/tools/provider/builtin/duckduckgo/tools/ddgo_img.py create mode 100644 api/core/tools/provider/builtin/duckduckgo/tools/ddgo_img.yaml create mode 100644 api/core/tools/provider/builtin/duckduckgo/tools/ddgo_search.py create mode 100644 api/core/tools/provider/builtin/duckduckgo/tools/ddgo_search.yaml create mode 100644 api/core/tools/provider/builtin/duckduckgo/tools/ddgo_translate.py create mode 100644 api/core/tools/provider/builtin/duckduckgo/tools/ddgo_translate.yaml delete mode 100644 api/core/tools/provider/builtin/duckduckgo/tools/duckduckgo_search.py delete mode 100644 api/core/tools/provider/builtin/duckduckgo/tools/duckduckgo_search.yaml diff --git a/api/core/tools/provider/builtin/duckduckgo/duckduckgo.py b/api/core/tools/provider/builtin/duckduckgo/duckduckgo.py index 6df8678d307123..2292e89fa6ed13 100644 --- a/api/core/tools/provider/builtin/duckduckgo/duckduckgo.py +++ b/api/core/tools/provider/builtin/duckduckgo/duckduckgo.py @@ -1,5 +1,5 @@ from core.tools.errors import ToolProviderCredentialValidationError -from core.tools.provider.builtin.duckduckgo.tools.duckduckgo_search import DuckDuckGoSearchTool +from core.tools.provider.builtin.duckduckgo.tools.ddgo_search import DuckDuckGoSearchTool from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_ai.py b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_ai.py new file mode 100644 index 00000000000000..878b0d86453a2b --- /dev/null +++ b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_ai.py @@ -0,0 +1,20 @@ +from typing import Any + +from duckduckgo_search import DDGS + +from core.tools.entities.tool_entities import ToolInvokeMessage +from core.tools.tool.builtin_tool import BuiltinTool + + +class DuckDuckGoAITool(BuiltinTool): + """ + Tool for performing a search using DuckDuckGo search engine. + """ + + def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: + query_dict = { + "keywords": tool_parameters.get('query'), + "model": tool_parameters.get('model'), + } + response = DDGS().chat(**query_dict) + return self.create_text_message(text=response) diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_ai.yaml b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_ai.yaml new file mode 100644 index 00000000000000..1ca16e660f71ec --- /dev/null +++ b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_ai.yaml @@ -0,0 +1,41 @@ +identity: + name: ddgo_ai + author: hjlarry + label: + en_US: DuckDuckGo AI Chat + zh_Hans: DuckDuckGo AI聊天 +description: + human: + en_US: Use the anonymous private chat provided by DuckDuckGo. + zh_Hans: 使用DuckDuckGo提供的匿名私密聊天。 + llm: Use the anonymous private chat provided by DuckDuckGo. +parameters: + - name: query + type: string + required: true + label: + en_US: Chat Content + zh_Hans: 聊天内容 + human_description: + en_US: The chat content. + zh_Hans: 要聊天的内容。 + llm_description: Key words for chat + form: llm + - name: model + type: select + required: true + options: + - value: gpt-3.5 + label: + en_US: GPT-3.5 + - value: claude-3-haiku + label: + en_US: Claude 3 + default: gpt-3.5 + label: + en_US: Choose Model + zh_Hans: 选择模型 + human_description: + en_US: used to select the model for AI chat. + zh_Hans: 用于选择使用AI聊天的模型 + form: form diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_img.py b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_img.py new file mode 100644 index 00000000000000..660611e8a66179 --- /dev/null +++ b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_img.py @@ -0,0 +1,25 @@ +from typing import Any + +from duckduckgo_search import DDGS + +from core.tools.entities.tool_entities import ToolInvokeMessage +from core.tools.tool.builtin_tool import BuiltinTool + + +class DuckDuckGoImageSearchTool(BuiltinTool): + """ + Tool for performing an image search using DuckDuckGo search engine. + """ + + def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> list[ToolInvokeMessage]: + query_dict = { + "keywords": tool_parameters.get('query'), + "timelimit": tool_parameters.get('timelimit'), + "size": tool_parameters.get('size'), + "max_results": tool_parameters.get('max_results'), + } + response = DDGS().images(**query_dict) + results = [] + for res in response: + results.append(self.create_image_message(image=res.get("image"))) + return results diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_img.yaml b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_img.yaml new file mode 100644 index 00000000000000..168cface224e40 --- /dev/null +++ b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_img.yaml @@ -0,0 +1,88 @@ +identity: + name: ddgo_img + author: hjlarry + label: + en_US: DuckDuckGo Image Search + zh_Hans: DuckDuckGo 图片搜索 +description: + human: + en_US: Perform image searches on DuckDuckGo and get results. + zh_Hans: 在 DuckDuckGo 上进行图片搜索并获取结果。 + llm: Perform image searches on DuckDuckGo and get results. +parameters: + - name: query + type: string + required: true + label: + en_US: Query string + zh_Hans: 查询语句 + human_description: + en_US: The search query. + zh_Hans: 搜索查询语句。 + llm_description: Key words for searching + form: llm + - name: max_results + type: number + required: true + default: 3 + label: + en_US: Max results + zh_Hans: 最大结果数量 + human_description: + en_US: The max results. + zh_Hans: 最大结果数量 + form: form + - name: timelimit + type: select + required: false + options: + - value: Day + label: + en_US: current day + zh_Hans: 当天 + - value: Week + label: + en_US: current week + zh_Hans: 本周 + - value: Month + label: + en_US: current month + zh_Hans: 当月 + - value: Year + label: + en_US: current year + zh_Hans: 今年 + label: + en_US: Result time limit + zh_Hans: 结果时间限制 + human_description: + en_US: Use when querying results within a specific time range only. + zh_Hans: 只查询一定时间范围内的结果时使用 + form: form + - name: size + type: select + required: false + options: + - value: Small + label: + en_US: small + zh_Hans: 小 + - value: Medium + label: + en_US: medium + zh_Hans: 中 + - value: Large + label: + en_US: large + zh_Hans: 大 + - value: Wallpaper + label: + en_US: xl + zh_Hans: 超大 + label: + en_US: image size + zh_Hans: 图片大小 + human_description: + en_US: The size of the image to be searched. + zh_Hans: 要搜索的图片的大小 + form: form diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_search.py b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_search.py new file mode 100644 index 00000000000000..bf963f3442fd6c --- /dev/null +++ b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_search.py @@ -0,0 +1,29 @@ +from typing import Any + +from duckduckgo_search import DDGS + +from core.tools.entities.tool_entities import ToolInvokeMessage +from core.tools.tool.builtin_tool import BuiltinTool + + +class DuckDuckGoSearchTool(BuiltinTool): + """ + Tool for performing a search using DuckDuckGo search engine. + """ + + def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: + query = tool_parameters.get('query', '') + result_type = tool_parameters.get('result_type', 'text') + max_results = tool_parameters.get('max_results', 10) + require_summary = tool_parameters.get('require_summary', False) + response = DDGS().text(query, max_results=max_results) + + if result_type == 'link': + results = [f"[{res.get('title')}]({res.get('href')})" for res in response] + results = "\n".join(results) + return self.create_link_message(link=results) + results = [res.get("body") for res in response] + results = "\n".join(results) + if require_summary: + results = self.summary(user_id=user_id, content=results) + return self.create_text_message(text=results) diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_search.yaml b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_search.yaml new file mode 100644 index 00000000000000..a8248d595b362c --- /dev/null +++ b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_search.yaml @@ -0,0 +1,65 @@ +identity: + name: ddgo_search + author: Yash Parmar + label: + en_US: DuckDuckGo Search + zh_Hans: DuckDuckGo 搜索 +description: + human: + en_US: Perform searches on DuckDuckGo and get results. + zh_Hans: 在 DuckDuckGo 上进行搜索并获取结果。 + llm: Perform searches on DuckDuckGo and get results. +parameters: + - name: query + type: string + required: true + label: + en_US: Query string + zh_Hans: 查询语句 + human_description: + en_US: The search query. + zh_Hans: 搜索查询语句。 + llm_description: Key words for searching + form: llm + - name: max_results + type: number + required: true + default: 5 + label: + en_US: Max results + zh_Hans: 最大结果数量 + human_description: + en_US: The max results. + zh_Hans: 最大结果数量 + form: form + - name: result_type + type: select + required: true + options: + - value: text + label: + en_US: text + zh_Hans: 文本 + - value: link + label: + en_US: link + zh_Hans: 链接 + default: text + label: + en_US: Result type + zh_Hans: 结果类型 + human_description: + en_US: used for selecting the result type, text or link + zh_Hans: 用于选择结果类型，使用文本还是链接进行展示 + form: form + - name: require_summary + type: boolean + required: true + default: false + label: + en_US: Require Summary + zh_Hans: 是否总结 + human_description: + en_US: Whether to pass the search results to llm for summarization. + zh_Hans: 是否需要将搜索结果传给大模型总结 + form: form diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_translate.py b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_translate.py new file mode 100644 index 00000000000000..9822b37cf0231d --- /dev/null +++ b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_translate.py @@ -0,0 +1,20 @@ +from typing import Any + +from duckduckgo_search import DDGS + +from core.tools.entities.tool_entities import ToolInvokeMessage +from core.tools.tool.builtin_tool import BuiltinTool + + +class DuckDuckGoTranslateTool(BuiltinTool): + """ + Tool for performing a search using DuckDuckGo search engine. + """ + + def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage: + query_dict = { + "keywords": tool_parameters.get('query'), + "to": tool_parameters.get('translate_to'), + } + response = DDGS().translate(**query_dict)[0].get('translated', 'Unable to translate!') + return self.create_text_message(text=response) diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_translate.yaml b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_translate.yaml new file mode 100644 index 00000000000000..78b5d0b02275b2 --- /dev/null +++ b/api/core/tools/provider/builtin/duckduckgo/tools/ddgo_translate.yaml @@ -0,0 +1,51 @@ +identity: + name: ddgo_translate + author: hjlarry + label: + en_US: DuckDuckGo Translate + zh_Hans: DuckDuckGo 翻译 +description: + human: + en_US: Use DuckDuckGo's translation feature. + zh_Hans: 使用DuckDuckGo的翻译功能。 + llm: Use DuckDuckGo's translation feature. +parameters: + - name: query + type: string + required: true + label: + en_US: Translate Content + zh_Hans: 翻译内容 + human_description: + en_US: The translate content. + zh_Hans: 要翻译的内容。 + llm_description: Key words for translate + form: llm + - name: translate_to + type: select + required: true + options: + - value: en + label: + en_US: English + zh_Hans: 英语 + - value: zh-Hans + label: + en_US: Simplified Chinese + zh_Hans: 简体中文 + - value: zh-Hant + label: + en_US: Traditional Chinese + zh_Hans: 繁体中文 + - value: ja + label: + en_US: Japanese + zh_Hans: 日语 + default: en + label: + en_US: Choose Language + zh_Hans: 选择语言 + human_description: + en_US: select the language to translate. + zh_Hans: 选择要翻译的语言 + form: form diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/duckduckgo_search.py b/api/core/tools/provider/builtin/duckduckgo/tools/duckduckgo_search.py deleted file mode 100644 index 80722a4d6e882e..00000000000000 --- a/api/core/tools/provider/builtin/duckduckgo/tools/duckduckgo_search.py +++ /dev/null @@ -1,171 +0,0 @@ -from typing import Any, Optional - -from pydantic import BaseModel, Field - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class DuckDuckGoSearchAPIWrapper(BaseModel): - """Wrapper for DuckDuckGo Search API. - - Free and does not require any setup. - """ - - region: Optional[str] = "wt-wt" - safesearch: str = "moderate" - time: Optional[str] = "y" - max_results: int = 5 - - def get_snippets(self, query: str) -> list[str]: - """Run query through DuckDuckGo and return concatenated results.""" - from duckduckgo_search import DDGS - - with DDGS() as ddgs: - results = ddgs.text( - query, - region=self.region, - safesearch=self.safesearch, - timelimit=self.time, - ) - if results is None: - return ["No good DuckDuckGo Search Result was found"] - snippets = [] - for i, res in enumerate(results, 1): - if res is not None: - snippets.append(res["body"]) - if len(snippets) == self.max_results: - break - return snippets - - def run(self, query: str) -> str: - snippets = self.get_snippets(query) - return " ".join(snippets) - - def results( - self, query: str, num_results: int, backend: str = "api" - ) -> list[dict[str, str]]: - """Run query through DuckDuckGo and return metadata. - - Args: - query: The query to search for. - num_results: The number of results to return. - - Returns: - A list of dictionaries with the following keys: - snippet - The description of the result. - title - The title of the result. - link - The link to the result. - """ - from duckduckgo_search import DDGS - - with DDGS() as ddgs: - results = ddgs.text( - query, - region=self.region, - safesearch=self.safesearch, - timelimit=self.time, - backend=backend, - ) - if results is None: - return [{"Result": "No good DuckDuckGo Search Result was found"}] - - def to_metadata(result: dict) -> dict[str, str]: - if backend == "news": - return { - "date": result["date"], - "title": result["title"], - "snippet": result["body"], - "source": result["source"], - "link": result["url"], - } - return { - "snippet": result["body"], - "title": result["title"], - "link": result["href"], - } - - formatted_results = [] - for i, res in enumerate(results, 1): - if res is not None: - formatted_results.append(to_metadata(res)) - if len(formatted_results) == num_results: - break - return formatted_results - - -class DuckDuckGoSearchRun(BaseModel): - """Tool that queries the DuckDuckGo search API.""" - - name = "duckduckgo_search" - description = ( - "A wrapper around DuckDuckGo Search. " - "Useful for when you need to answer questions about current events. " - "Input should be a search query." - ) - api_wrapper: DuckDuckGoSearchAPIWrapper = Field( - default_factory=DuckDuckGoSearchAPIWrapper - ) - - def _run( - self, - query: str, - ) -> str: - """Use the tool.""" - return self.api_wrapper.run(query) - - -class DuckDuckGoSearchResults(BaseModel): - """Tool that queries the DuckDuckGo search API and gets back json.""" - - name = "DuckDuckGo Results JSON" - description = ( - "A wrapper around Duck Duck Go Search. " - "Useful for when you need to answer questions about current events. " - "Input should be a search query. Output is a JSON array of the query results" - ) - num_results: int = 4 - api_wrapper: DuckDuckGoSearchAPIWrapper = Field( - default_factory=DuckDuckGoSearchAPIWrapper - ) - backend: str = "api" - - def _run( - self, - query: str, - ) -> str: - """Use the tool.""" - res = self.api_wrapper.results(query, self.num_results, backend=self.backend) - res_strs = [", ".join([f"{k}: {v}" for k, v in d.items()]) for d in res] - return ", ".join([f"[{rs}]" for rs in res_strs]) - -class DuckDuckGoInput(BaseModel): - query: str = Field(..., description="Search query.") - -class DuckDuckGoSearchTool(BuiltinTool): - """ - Tool for performing a search using DuckDuckGo search engine. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]: - """ - Invoke the DuckDuckGo search tool. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Any]): The parameters for the tool invocation. - - Returns: - ToolInvokeMessage | list[ToolInvokeMessage]: The result of the tool invocation. - """ - query = tool_parameters.get('query', '') - - if not query: - return self.create_text_message('Please input query') - - tool = DuckDuckGoSearchRun(args_schema=DuckDuckGoInput) - - result = tool._run(query) - - return self.create_text_message(self.summary(user_id=user_id, content=result)) - \ No newline at end of file diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/duckduckgo_search.yaml b/api/core/tools/provider/builtin/duckduckgo/tools/duckduckgo_search.yaml deleted file mode 100644 index 93c857010cd72c..00000000000000 --- a/api/core/tools/provider/builtin/duckduckgo/tools/duckduckgo_search.yaml +++ /dev/null @@ -1,23 +0,0 @@ -identity: - name: duckduckgo_search - author: Yash Parmar - label: - en_US: DuckDuckGo Search - zh_Hans: DuckDuckGo 搜索 -description: - human: - en_US: Perform searches on DuckDuckGo and get results. - zh_Hans: 在 DuckDuckGo 上进行搜索并获取结果。 - llm: Perform searches on DuckDuckGo and get results. -parameters: - - name: query - type: string - required: true - label: - en_US: Query string - zh_Hans: 查询语句 - human_description: - en_US: The search query. - zh_Hans: 搜索查询语句。 - llm_description: Key words for searching - form: llm From 9f7b38c068bc6bb50d3ba87734df0c6fc40d17b9 Mon Sep 17 00:00:00 2001 From: Joel Date: Wed, 12 Jun 2024 11:29:38 +0800 Subject: [PATCH 22/70] fix: #4970 (#5093) --- .../components/workflow/nodes/llm/components/config-prompt.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/web/app/components/workflow/nodes/llm/components/config-prompt.tsx b/web/app/components/workflow/nodes/llm/components/config-prompt.tsx index 3b4c452de34006..297862136a087c 100644 --- a/web/app/components/workflow/nodes/llm/components/config-prompt.tsx +++ b/web/app/components/workflow/nodes/llm/components/config-prompt.tsx @@ -210,7 +210,7 @@ const ConfigPrompt: FC = ({ {t(`${i18nPrefix}.prompt`)}} - value={(payload as PromptItem).edition_type === EditionType.basic ? (payload as PromptItem).text : ((payload as PromptItem).jinja2_text || '')} + value={((payload as PromptItem).edition_type === EditionType.basic || !(payload as PromptItem).edition_type) ? (payload as PromptItem).text : ((payload as PromptItem).jinja2_text || '')} onChange={handleCompletionPromptChange} readOnly={readOnly} isChatModel={isChatModel} From b7c72f7a972f62303226aa1f0f88da207fedc4b1 Mon Sep 17 00:00:00 2001 From: "Charlie.Wei" Date: Wed, 12 Jun 2024 12:59:03 +0800 Subject: [PATCH 23/70] dalle3 add style consistency parameter (#5067) Co-authored-by: luowei Co-authored-by: crazywoola <427733928@qq.com> Co-authored-by: crazywoola <100913391+crazywoola@users.noreply.github.com> --- .../builtin/azuredalle/tools/dalle3.py | 27 +++++++++++++------ .../builtin/azuredalle/tools/dalle3.yaml | 13 +++++++++ .../provider/builtin/dalle/tools/dalle3.py | 26 +++++++++++++----- .../provider/builtin/dalle/tools/dalle3.yaml | 13 +++++++++ 4 files changed, 64 insertions(+), 15 deletions(-) diff --git a/api/core/tools/provider/builtin/azuredalle/tools/dalle3.py b/api/core/tools/provider/builtin/azuredalle/tools/dalle3.py index 3c4e6ee9a50d91..45cb9b1fe520d7 100644 --- a/api/core/tools/provider/builtin/azuredalle/tools/dalle3.py +++ b/api/core/tools/provider/builtin/azuredalle/tools/dalle3.py @@ -8,10 +8,10 @@ class DallE3Tool(BuiltinTool): - def _invoke(self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: + def _invoke(self, + user_id: str, + tool_parameters: dict[str, Any], + ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: """ invoke tools """ @@ -43,14 +43,18 @@ def _invoke(self, style = tool_parameters.get('style', 'vivid') if style not in ['natural', 'vivid']: return self.create_text_message('Invalid style') + # set extra body + seed_id = tool_parameters.get('seed_id', self._generate_random_id(8)) + extra_body = {'seed': seed_id} # call openapi dalle3 - model=self.runtime.credentials['azure_openai_api_model_name'] + model = self.runtime.credentials['azure_openai_api_model_name'] response = client.images.generate( prompt=prompt, model=model, size=size, n=n, + extra_body=extra_body, style=style, quality=quality, response_format='b64_json' @@ -59,8 +63,15 @@ def _invoke(self, result = [] for image in response.data: - result.append(self.create_blob_message(blob=b64decode(image.b64_json), - meta={ 'mime_type': 'image/png' }, - save_as=self.VARIABLE_KEY.IMAGE.value)) + result.append(self.create_blob_message(blob=b64decode(image.b64_json), + meta={'mime_type': 'image/png'}, + save_as=self.VARIABLE_KEY.IMAGE.value)) + result.append(self.create_text_message(f'\nGenerate image source to Seed ID: {seed_id}')) return result + + @staticmethod + def _generate_random_id(length=8): + characters = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789' + random_id = ''.join(random.choices(characters, k=length)) + return random_id diff --git a/api/core/tools/provider/builtin/azuredalle/tools/dalle3.yaml b/api/core/tools/provider/builtin/azuredalle/tools/dalle3.yaml index 5553984e1e137b..63a8c99d97f90c 100644 --- a/api/core/tools/provider/builtin/azuredalle/tools/dalle3.yaml +++ b/api/core/tools/provider/builtin/azuredalle/tools/dalle3.yaml @@ -29,6 +29,19 @@ parameters: pt_BR: Imagem prompt, você pode verificar a documentação oficial do DallE 3 llm_description: Image prompt of DallE 3, you should describe the image you want to generate as a list of words as possible as detailed form: llm + - name: seed_id + type: string + required: false + label: + en_US: Seed ID + zh_Hans: 种子ID + pt_BR: ID da semente + human_description: + en_US: Image generation seed ID to ensure consistency of series generated images + zh_Hans: 图像生成种子ID，确保系列生成图像的一致性 + pt_BR: ID de semente de geração de imagem para garantir a consistência das imagens geradas em série + llm_description: If the user requests image consistency, extract the seed ID from the user's question or context.The seed id consists of an 8-bit string containing uppercase and lowercase letters and numbers + form: llm - name: size type: select required: true diff --git a/api/core/tools/provider/builtin/dalle/tools/dalle3.py b/api/core/tools/provider/builtin/dalle/tools/dalle3.py index 87d18f68e016a9..45a289ddf8c80f 100644 --- a/api/core/tools/provider/builtin/dalle/tools/dalle3.py +++ b/api/core/tools/provider/builtin/dalle/tools/dalle3.py @@ -1,3 +1,4 @@ +import random from base64 import b64decode from typing import Any, Union @@ -9,10 +10,10 @@ class DallE3Tool(BuiltinTool): - def _invoke(self, - user_id: str, - tool_parameters: dict[str, Any], - ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: + def _invoke(self, + user_id: str, + tool_parameters: dict[str, Any], + ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: """ invoke tools """ @@ -53,6 +54,9 @@ def _invoke(self, style = tool_parameters.get('style', 'vivid') if style not in ['natural', 'vivid']: return self.create_text_message('Invalid style') + # set extra body + seed_id = tool_parameters.get('seed_id', self._generate_random_id(8)) + extra_body = {'seed': seed_id} # call openapi dalle3 response = client.images.generate( @@ -60,6 +64,7 @@ def _invoke(self, model='dall-e-3', size=size, n=n, + extra_body=extra_body, style=style, quality=quality, response_format='b64_json' @@ -68,8 +73,15 @@ def _invoke(self, result = [] for image in response.data: - result.append(self.create_blob_message(blob=b64decode(image.b64_json), - meta={ 'mime_type': 'image/png' }, - save_as=self.VARIABLE_KEY.IMAGE.value)) + result.append(self.create_blob_message(blob=b64decode(image.b64_json), + meta={'mime_type': 'image/png'}, + save_as=self.VARIABLE_KEY.IMAGE.value)) + result.append(self.create_text_message(f'\nGenerate image source to Seed ID: {seed_id}')) return result + + @staticmethod + def _generate_random_id(length=8): + characters = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789' + random_id = ''.join(random.choices(characters, k=length)) + return random_id diff --git a/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml b/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml index 7ba5c56889c7e4..b07a17212e9b63 100644 --- a/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml +++ b/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml @@ -29,6 +29,19 @@ parameters: pt_BR: Image prompt, you can check the official documentation of DallE 3 llm_description: Image prompt of DallE 3, you should describe the image you want to generate as a list of words as possible as detailed form: llm + - name: seed_id + type: string + required: false + label: + en_US: Seed ID + zh_Hans: 种子ID + pt_BR: ID da semente + human_description: + en_US: Image generation seed ID to ensure consistency of series generated images + zh_Hans: 图像生成种子ID，确保系列生成图像的一致性 + pt_BR: ID de semente de geração de imagem para garantir a consistência das imagens geradas em série + llm_description: If the user requests image consistency, extract the seed ID from the user's question or context.The seed id consists of an 8-bit string containing uppercase and lowercase letters and numbers + form: llm - name: size type: select required: true From 28997772a5edc8d1b9bc5faf6d9fa7418edcb093 Mon Sep 17 00:00:00 2001 From: rerorero Date: Wed, 12 Jun 2024 14:14:53 +0900 Subject: [PATCH 24/70] fix: remote_url doesn't work for gemini (#5090) --- .../model_providers/google/llm/llm.py | 27 ++++++++++++++----- 1 file changed, 21 insertions(+), 6 deletions(-) diff --git a/api/core/model_runtime/model_providers/google/llm/llm.py b/api/core/model_runtime/model_providers/google/llm/llm.py index 5a674fdeeeb77e..2dfde70816eeee 100644 --- a/api/core/model_runtime/model_providers/google/llm/llm.py +++ b/api/core/model_runtime/model_providers/google/llm/llm.py @@ -1,18 +1,22 @@ +import base64 import json import logging +import mimetypes from collections.abc import Generator -from typing import Optional, Union +from typing import Optional, Union, cast import google.ai.generativelanguage as glm import google.api_core.exceptions as exceptions import google.generativeai as genai import google.generativeai.client as client +import requests from google.generativeai.types import ContentType, GenerateContentResponse, HarmBlockThreshold, HarmCategory from google.generativeai.types.content_types import to_part from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta from core.model_runtime.entities.message_entities import ( AssistantPromptMessage, + ImagePromptMessageContent, PromptMessage, PromptMessageContentType, PromptMessageTool, @@ -361,11 +365,22 @@ def _format_message_to_glm_content(self, message: PromptMessage) -> ContentType: for c in message.content: if c.type == PromptMessageContentType.TEXT: glm_content['parts'].append(to_part(c.data)) - else: - metadata, data = c.data.split(',', 1) - mime_type = metadata.split(';', 1)[0].split(':')[1] - blob = {"inline_data":{"mime_type":mime_type,"data":data}} + elif c.type == PromptMessageContentType.IMAGE: + message_content = cast(ImagePromptMessageContent, c) + if message_content.data.startswith("data:"): + metadata, base64_data = c.data.split(',', 1) + mime_type = metadata.split(';', 1)[0].split(':')[1] + else: + # fetch image data from url + try: + image_content = requests.get(message_content.data).content + mime_type, _ = mimetypes.guess_type(message_content.data) + base64_data = base64.b64encode(image_content).decode('utf-8') + except Exception as ex: + raise ValueError(f"Failed to fetch image data from url {message_content.data}, {ex}") + blob = {"inline_data":{"mime_type":mime_type,"data":base64_data}} glm_content['parts'].append(blob) + return glm_content elif isinstance(message, AssistantPromptMessage): glm_content = { @@ -444,4 +459,4 @@ def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]] exceptions.RequestRangeNotSatisfiable, exceptions.Cancelled, ] - } \ No newline at end of file + } From 25b0a97851c143a9252594d9949f38334a5b06cb Mon Sep 17 00:00:00 2001 From: Bowen Liang Date: Wed, 12 Jun 2024 14:43:03 +0800 Subject: [PATCH 25/70] build: use Poetry as default build system for dependency installation in CI jobs (#5088) --- .github/workflows/api-tests.yml | 16 +++--- .github/workflows/db-migration-test.yml | 12 ++-- .github/workflows/style.yml | 9 ++- api/migrations/README | 1 + api/poetry.lock | 74 ++++++++++++++++++++++++- api/pyproject.toml | 10 ++++ 6 files changed, 106 insertions(+), 16 deletions(-) diff --git a/.github/workflows/api-tests.yml b/.github/workflows/api-tests.yml index 3aa70420b35d8d..e2ef85431d0a11 100644 --- a/.github/workflows/api-tests.yml +++ b/.github/workflows/api-tests.yml @@ -14,7 +14,6 @@ concurrency: jobs: test: - name: API Tests runs-on: ubuntu-latest strategy: matrix: @@ -81,6 +80,7 @@ jobs: run: dev/pytest/pytest_vdb.sh test-in-poetry: + name: API Tests runs-on: ubuntu-latest strategy: matrix: @@ -89,26 +89,26 @@ jobs: - "3.11" steps: - - name: Install poetry - uses: abatilo/actions-poetry@v3 - with: - poetry-version: "1.8.1" - - name: Checkout code uses: actions/checkout@v4 + - name: Install Poetry + uses: abatilo/actions-poetry@v3 + - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v5 with: python-version: ${{ matrix.python-version }} cache: 'poetry' - cache-dependency-path: ./api/poetry.lock + cache-dependency-path: | + api/pyproject.toml + api/poetry.lock - name: Poetry check run: poetry check -C api - name: Install dependencies - run: poetry install -C api + run: poetry install -C api --with dev - name: Run Unit tests run: poetry run -C api bash dev/pytest/pytest_unit_tests.sh diff --git a/.github/workflows/db-migration-test.yml b/.github/workflows/db-migration-test.yml index cb8dd06c5e2ecf..2f059bea9d7aae 100644 --- a/.github/workflows/db-migration-test.yml +++ b/.github/workflows/db-migration-test.yml @@ -23,16 +23,20 @@ jobs: - name: Checkout code uses: actions/checkout@v4 + - name: Install Poetry + uses: abatilo/actions-poetry@v3 + - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v5 with: python-version: ${{ matrix.python-version }} - cache: 'pip' + cache: 'poetry' cache-dependency-path: | - ./api/requirements.txt + api/pyproject.toml + api/poetry.lock - name: Install dependencies - run: pip install -r ./api/requirements.txt + run: poetry install -C api - name: Set up Middleware uses: hoverkraft-tech/compose-action@v2.0.0 @@ -50,4 +54,4 @@ jobs: - name: Run DB Migration run: | cd api - flask db upgrade + poetry run python -m flask db upgrade diff --git a/.github/workflows/style.yml b/.github/workflows/style.yml index 7dad707fea1d72..160641fdf0bc0d 100644 --- a/.github/workflows/style.yml +++ b/.github/workflows/style.yml @@ -24,6 +24,9 @@ jobs: with: files: api/** + - name: Install Poetry + uses: abatilo/actions-poetry@v3 + - name: Set up Python uses: actions/setup-python@v5 if: steps.changed-files.outputs.any_changed == 'true' @@ -32,15 +35,15 @@ jobs: - name: Python dependencies if: steps.changed-files.outputs.any_changed == 'true' - run: pip install ruff dotenv-linter + run: poetry install -C api --only lint - name: Ruff check if: steps.changed-files.outputs.any_changed == 'true' - run: ruff check --preview ./api + run: poetry run -C api ruff check --preview ./api - name: Dotenv check if: steps.changed-files.outputs.any_changed == 'true' - run: dotenv-linter ./api/.env.example ./web/.env.example + run: poetry run -C api dotenv-linter ./api/.env.example ./web/.env.example - name: Lint hints if: failure() diff --git a/api/migrations/README b/api/migrations/README index 0e048441597444..220678df7ab06e 100644 --- a/api/migrations/README +++ b/api/migrations/README @@ -1 +1,2 @@ Single-database configuration for Flask. + diff --git a/api/poetry.lock b/api/poetry.lock index 7dddf47433b746..5819770652a7ca 100644 --- a/api/poetry.lock +++ b/api/poetry.lock @@ -970,6 +970,23 @@ files = [ [package.dependencies] colorama = {version = "*", markers = "platform_system == \"Windows\""} +[[package]] +name = "click-default-group" +version = "1.2.4" +description = "click_default_group" +optional = false +python-versions = ">=2.7" +files = [ + {file = "click_default_group-1.2.4-py2.py3-none-any.whl", hash = "sha256:9b60486923720e7fc61731bdb32b617039aba820e22e1c88766b1125592eaa5f"}, + {file = "click_default_group-1.2.4.tar.gz", hash = "sha256:eb3f3c99ec0d456ca6cd2a7f08f7d4e91771bef51b01bdd9580cc6450fe1251e"}, +] + +[package.dependencies] +click = "*" + +[package.extras] +test = ["pytest"] + [[package]] name = "click-didyoumean" version = "0.3.1" @@ -1491,6 +1508,24 @@ files = [ {file = "docstring_parser-0.16.tar.gz", hash = "sha256:538beabd0af1e2db0146b6bd3caa526c35a34d61af9fd2887f3a8a27a739aa6e"}, ] +[[package]] +name = "dotenv-linter" +version = "0.5.0" +description = "Linting dotenv files like a charm!" +optional = false +python-versions = ">=3.9,<4.0" +files = [ + {file = "dotenv_linter-0.5.0-py3-none-any.whl", hash = "sha256:fd01cca7f2140cb1710f49cbc1bf0e62397a75a6f0522d26a8b9b2331143c8bd"}, + {file = "dotenv_linter-0.5.0.tar.gz", hash = "sha256:4862a8393e5ecdfb32982f1b32dbc006fff969a7b3c8608ba7db536108beeaea"}, +] + +[package.dependencies] +attrs = "*" +click = ">=6,<9" +click_default_group = ">=1.2,<2.0" +ply = ">=3.11,<4.0" +typing_extensions = ">=4.0,<5.0" + [[package]] name = "duckdb" version = "1.0.0" @@ -4550,6 +4585,17 @@ files = [ dev = ["pre-commit", "tox"] testing = ["pytest", "pytest-benchmark"] +[[package]] +name = "ply" +version = "3.11" +description = "Python Lex & Yacc" +optional = false +python-versions = "*" +files = [ + {file = "ply-3.11-py2.py3-none-any.whl", hash = "sha256:096f9b8350b65ebd2fd1346b12452efe5b9607f7482813ffca50c22722a807ce"}, + {file = "ply-3.11.tar.gz", hash = "sha256:00c7c1aaa88358b9c765b6d3000c6eec0ba42abca5351b095321aef446081da3"}, +] + [[package]] name = "portalocker" version = "2.8.2" @@ -5818,6 +5864,32 @@ files = [ [package.dependencies] pyasn1 = ">=0.1.3" +[[package]] +name = "ruff" +version = "0.4.8" +description = "An extremely fast Python linter and code formatter, written in Rust." +optional = false +python-versions = ">=3.7" +files = [ + {file = "ruff-0.4.8-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:7663a6d78f6adb0eab270fa9cf1ff2d28618ca3a652b60f2a234d92b9ec89066"}, + {file = "ruff-0.4.8-py3-none-macosx_11_0_arm64.whl", hash = "sha256:eeceb78da8afb6de0ddada93112869852d04f1cd0f6b80fe464fd4e35c330913"}, + {file = "ruff-0.4.8-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aad360893e92486662ef3be0a339c5ca3c1b109e0134fcd37d534d4be9fb8de3"}, + {file = "ruff-0.4.8-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:284c2e3f3396fb05f5f803c9fffb53ebbe09a3ebe7dda2929ed8d73ded736deb"}, + {file = "ruff-0.4.8-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a7354f921e3fbe04d2a62d46707e569f9315e1a613307f7311a935743c51a764"}, + {file = 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"sha256:384154a1c3f4bf537bac69f33720957ee49ac8d484bfc91720cc94172026ceed"}, + {file = "ruff-0.4.8-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:e9d5ce97cacc99878aa0d084c626a15cd21e6b3d53fd6f9112b7fc485918e1fa"}, + {file = "ruff-0.4.8-py3-none-win32.whl", hash = "sha256:6d795d7639212c2dfd01991259460101c22aabf420d9b943f153ab9d9706e6a9"}, + {file = "ruff-0.4.8-py3-none-win_amd64.whl", hash = "sha256:e14a3a095d07560a9d6769a72f781d73259655919d9b396c650fc98a8157555d"}, + {file = "ruff-0.4.8-py3-none-win_arm64.whl", hash = "sha256:14019a06dbe29b608f6b7cbcec300e3170a8d86efaddb7b23405cb7f7dcaf780"}, + {file = "ruff-0.4.8.tar.gz", hash = "sha256:16d717b1d57b2e2fd68bd0bf80fb43931b79d05a7131aa477d66fc40fbd86268"}, +] + [[package]] name = "s3transfer" version = "0.6.2" @@ -7451,4 +7523,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = "^3.10" -content-hash = "a525ad5ee7a98124a23736c8ba5e0d1c7cf6d037a19aaac78364ae8c0ce0c242" +content-hash = "f0a99f84a0dc46b22eaea2344f205fda66f1e99be10806749492e12a7bcf66cf" diff --git a/api/pyproject.toml b/api/pyproject.toml index 9213482547a6cf..9f4c578322684b 100644 --- a/api/pyproject.toml +++ b/api/pyproject.toml @@ -179,6 +179,8 @@ google-cloud-aiplatform = "1.49.0" vanna = {version = "0.5.5", extras = ["postgres", "mysql", "clickhouse", "duckdb"]} kaleido = "0.2.1" +[tool.poetry.group.dev] +optional = true [tool.poetry.group.dev.dependencies] coverage = "~7.2.4" @@ -186,3 +188,11 @@ pytest = "~8.1.1" pytest-benchmark = "~4.0.0" pytest-env = "~1.1.3" pytest-mock = "~3.14.0" + +[tool.poetry.group.lint] +optional = true + +[tool.poetry.group.lint.dependencies] +ruff = "~0.4.8" +dotenv-linter = "~0.5.0" + From 0ce97e6315836a95cc07ec6d9fe099e8537311c5 Mon Sep 17 00:00:00 2001 From: sino Date: Wed, 12 Jun 2024 15:43:50 +0800 Subject: [PATCH 26/70] feat: support doubao llm function calling (#5100) --- .../model_providers/volcengine_maas/client.py | 30 ++++++++++++- .../volcengine_maas/llm/llm.py | 32 +++++++++++-- .../volcengine_maas/llm/models.py | 45 ++++++++++++++----- 3 files changed, 91 insertions(+), 16 deletions(-) diff --git a/api/core/model_runtime/model_providers/volcengine_maas/client.py b/api/core/model_runtime/model_providers/volcengine_maas/client.py index c7bf4fde8cd182..471cb3c94e01f8 100644 --- a/api/core/model_runtime/model_providers/volcengine_maas/client.py +++ b/api/core/model_runtime/model_providers/volcengine_maas/client.py @@ -7,7 +7,9 @@ ImagePromptMessageContent, PromptMessage, PromptMessageContentType, + PromptMessageTool, SystemPromptMessage, + ToolPromptMessage, UserPromptMessage, ) from core.model_runtime.model_providers.volcengine_maas.errors import wrap_error @@ -36,10 +38,11 @@ def from_credential(cls, credentials: dict) -> 'MaaSClient': client.set_sk(sk) return client - def chat(self, params: dict, messages: list[PromptMessage], stream=False) -> Generator | dict: + def chat(self, params: dict, messages: list[PromptMessage], stream=False, **extra_model_kwargs) -> Generator | dict: req = { 'parameters': params, - 'messages': [self.convert_prompt_message_to_maas_message(prompt) for prompt in messages] + 'messages': [self.convert_prompt_message_to_maas_message(prompt) for prompt in messages], + **extra_model_kwargs, } if not stream: return super().chat( @@ -89,10 +92,22 @@ def convert_prompt_message_to_maas_message(message: PromptMessage) -> dict: message = cast(AssistantPromptMessage, message) message_dict = {'role': ChatRole.ASSISTANT, 'content': message.content} + if message.tool_calls: + message_dict['tool_calls'] = [ + { + 'name': call.function.name, + 'arguments': call.function.arguments + } for call in message.tool_calls + ] elif isinstance(message, SystemPromptMessage): message = cast(SystemPromptMessage, message) message_dict = {'role': ChatRole.SYSTEM, 'content': message.content} + elif isinstance(message, ToolPromptMessage): + message = cast(ToolPromptMessage, message) + message_dict = {'role': ChatRole.FUNCTION, + 'content': message.content, + 'name': message.tool_call_id} else: raise ValueError(f"Got unknown PromptMessage type {message}") @@ -106,3 +121,14 @@ def wrap_exception(fn: Callable[[], dict | Generator]) -> dict | Generator: raise wrap_error(e) return resp + + @staticmethod + def transform_tool_prompt_to_maas_config(tool: PromptMessageTool): + return { + "type": "function", + "function": { + "name": tool.name, + "description": tool.description, + "parameters": tool.parameters, + } + } diff --git a/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py b/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py index 7a36d019e27de2..8bea30324b5ad8 100644 --- a/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py +++ b/api/core/model_runtime/model_providers/volcengine_maas/llm/llm.py @@ -119,8 +119,15 @@ def _generate(self, model: str, credentials: dict, prompt_messages: list[PromptM if stop: req_params['stop'] = stop + extra_model_kwargs = {} + + if tools: + extra_model_kwargs['tools'] = [ + MaaSClient.transform_tool_prompt_to_maas_config(tool) for tool in tools + ] + resp = MaaSClient.wrap_exception( - lambda: client.chat(req_params, prompt_messages, stream)) + lambda: client.chat(req_params, prompt_messages, stream, **extra_model_kwargs)) if not stream: return self._handle_chat_response(model, credentials, prompt_messages, resp) return self._handle_stream_chat_response(model, credentials, prompt_messages, resp) @@ -156,12 +163,26 @@ def _handle_chat_response(self, model: str, credentials: dict, prompt_messages: choice = choices[0] message = choice['message'] + # parse tool calls + tool_calls = [] + if message['tool_calls']: + for call in message['tool_calls']: + tool_call = AssistantPromptMessage.ToolCall( + id=call['function']['name'], + type=call['type'], + function=AssistantPromptMessage.ToolCall.ToolCallFunction( + name=call['function']['name'], + arguments=call['function']['arguments'] + ) + ) + tool_calls.append(tool_call) + return LLMResult( model=model, prompt_messages=prompt_messages, message=AssistantPromptMessage( content=message['content'] if message['content'] else '', - tool_calls=[], + tool_calls=tool_calls, ), usage=self._calc_usage(model, credentials, resp['usage']), ) @@ -252,6 +273,10 @@ def get_customizable_model_schema(self, model: str, credentials: dict) -> AIMode if credentials.get('context_size'): model_properties[ModelPropertyKey.CONTEXT_SIZE] = int( credentials.get('context_size', 4096)) + + model_features = ModelConfigs.get( + credentials['base_model_name'], {}).get('features', []) + entity = AIModelEntity( model=model, label=I18nObject( @@ -260,7 +285,8 @@ def get_customizable_model_schema(self, model: str, credentials: dict) -> AIMode fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, model_type=ModelType.LLM, model_properties=model_properties, - parameter_rules=rules + parameter_rules=rules, + features=model_features, ) return entity diff --git a/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py b/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py index a2bd81b94553da..3a793cd6a8dfdf 100644 --- a/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py +++ b/api/core/model_runtime/model_providers/volcengine_maas/llm/models.py @@ -1,3 +1,5 @@ +from core.model_runtime.entities.model_entities import ModelFeature + ModelConfigs = { 'Doubao-pro-4k': { 'req_params': { @@ -7,7 +9,10 @@ 'model_properties': { 'context_size': 4096, 'mode': 'chat', - } + }, + 'features': [ + ModelFeature.TOOL_CALL + ], }, 'Doubao-lite-4k': { 'req_params': { @@ -17,7 +22,10 @@ 'model_properties': { 'context_size': 4096, 'mode': 'chat', - } + }, + 'features': [ + ModelFeature.TOOL_CALL + ], }, 'Doubao-pro-32k': { 'req_params': { @@ -27,7 +35,10 @@ 'model_properties': { 'context_size': 32768, 'mode': 'chat', - } + }, + 'features': [ + ModelFeature.TOOL_CALL + ], }, 'Doubao-lite-32k': { 'req_params': { @@ -37,7 +48,10 @@ 'model_properties': { 'context_size': 32768, 'mode': 'chat', - } + }, + 'features': [ + ModelFeature.TOOL_CALL + ], }, 'Doubao-pro-128k': { 'req_params': { @@ -47,7 +61,10 @@ 'model_properties': { 'context_size': 131072, 'mode': 'chat', - } + }, + 'features': [ + ModelFeature.TOOL_CALL + ], }, 'Doubao-lite-128k': { 'req_params': { @@ -57,7 +74,10 @@ 'model_properties': { 'context_size': 131072, 'mode': 'chat', - } + }, + 'features': [ + ModelFeature.TOOL_CALL + ], }, 'Skylark2-pro-4k': { 'req_params': { @@ -67,26 +87,29 @@ 'model_properties': { 'context_size': 4096, 'mode': 'chat', - } + }, + 'features': [], }, 'Llama3-8B': { - 'req_params': { + 'req_params': { 'max_prompt_tokens': 8192, 'max_new_tokens': 8192, }, 'model_properties': { 'context_size': 8192, 'mode': 'chat', - } + }, + 'features': [], }, 'Llama3-70B': { - 'req_params': { + 'req_params': { 'max_prompt_tokens': 8192, 'max_new_tokens': 8192, }, 'model_properties': { 'context_size': 8192, 'mode': 'chat', - } + }, + 'features': [], } } From 95443bd5518b18a81b2ce6e2cbec0ebbbd2c478d Mon Sep 17 00:00:00 2001 From: zxhlyh Date: Wed, 12 Jun 2024 16:35:19 +0800 Subject: [PATCH 27/70] chore: workflow syncing modal (#5108) --- .../components/workflow/header/editing-title.tsx | 9 +++++++++ .../workflow/hooks/use-workflow-interactions.ts | 4 +++- web/app/components/workflow/index.tsx | 10 ++++++++-- .../nodes/_base/components/prompt/editor.tsx | 3 +++ web/app/components/workflow/store.ts | 8 ++++++++ .../components/workflow/syncing-data-modal.tsx | 15 +++++++++++++++ web/i18n/en-US/workflow.ts | 1 + web/i18n/zh-Hans/workflow.ts | 1 + 8 files changed, 48 insertions(+), 3 deletions(-) create mode 100644 web/app/components/workflow/syncing-data-modal.tsx diff --git a/web/app/components/workflow/header/editing-title.tsx b/web/app/components/workflow/header/editing-title.tsx index 6cff4d99aa7451..44a85631dc66a7 100644 --- a/web/app/components/workflow/header/editing-title.tsx +++ b/web/app/components/workflow/header/editing-title.tsx @@ -10,6 +10,7 @@ const EditingTitle = () => { const { formatTimeFromNow } = useWorkflow() const draftUpdatedAt = useStore(state => state.draftUpdatedAt) const publishedAt = useStore(state => state.publishedAt) + const isSyncingWorkflowDraft = useStore(s => s.isSyncingWorkflowDraft) return (
@@ -26,6 +27,14 @@ const EditingTitle = () => { ? `${t('workflow.common.published')} ${formatTimeFromNow(publishedAt)}` : t('workflow.common.unpublished') } + { + isSyncingWorkflowDraft && ( + <> + · + {t('workflow.common.syncingData')} + + ) + }
) } diff --git a/web/app/components/workflow/hooks/use-workflow-interactions.ts b/web/app/components/workflow/hooks/use-workflow-interactions.ts index 5d5e98146050ec..e110d7c44a5793 100644 --- a/web/app/components/workflow/hooks/use-workflow-interactions.ts +++ b/web/app/components/workflow/hooks/use-workflow-interactions.ts @@ -57,11 +57,13 @@ export const useWorkflowUpdate = () => { const { appId, setSyncWorkflowDraftHash, + setIsSyncingWorkflowDraft, } = workflowStore.getState() + setIsSyncingWorkflowDraft(true) fetchWorkflowDraft(`/apps/${appId}/workflows/draft`).then((response) => { handleUpdateWorkflowCanvas(response.graph as WorkflowDataUpdator) setSyncWorkflowDraftHash(response.hash) - }) + }).finally(() => setIsSyncingWorkflowDraft(false)) }, [handleUpdateWorkflowCanvas, workflowStore]) return { diff --git a/web/app/components/workflow/index.tsx b/web/app/components/workflow/index.tsx index 882ed2f3ac45b6..e9ae8dd84fc8c1 100644 --- a/web/app/components/workflow/index.tsx +++ b/web/app/components/workflow/index.tsx @@ -55,6 +55,7 @@ import HelpLine from './help-line' import CandidateNode from './candidate-node' import PanelContextmenu from './panel-contextmenu' import NodeContextmenu from './node-contextmenu' +import SyncingDataModal from './syncing-data-modal' import { useStore, useWorkflowStore, @@ -99,7 +100,10 @@ const Workflow: FC = memo(({ const controlMode = useStore(s => s.controlMode) const nodeAnimation = useStore(s => s.nodeAnimation) const showConfirm = useStore(s => s.showConfirm) - const { setShowConfirm } = workflowStore.getState() + const { + setShowConfirm, + setControlPromptEditorRerenderKey, + } = workflowStore.getState() const { handleSyncWorkflowDraft, syncWorkflowDraftWhenPageClose, @@ -113,6 +117,7 @@ const Workflow: FC = memo(({ if (v.type === WORKFLOW_DATA_UPDATE) { setNodes(v.payload.nodes) setEdges(v.payload.edges) + setTimeout(() => setControlPromptEditorRerenderKey(Date.now())) } }) @@ -135,7 +140,7 @@ const Workflow: FC = memo(({ if (document.visibilityState === 'hidden') syncWorkflowDraftWhenPageClose() else if (document.visibilityState === 'visible') - handleRefreshWorkflowDraft() + setTimeout(() => handleRefreshWorkflowDraft(), 500) }, [syncWorkflowDraftWhenPageClose, handleRefreshWorkflowDraft]) useEffect(() => { @@ -223,6 +228,7 @@ const Workflow: FC = memo(({ `} ref={workflowContainerRef} > +
diff --git a/web/app/components/workflow/nodes/_base/components/prompt/editor.tsx b/web/app/components/workflow/nodes/_base/components/prompt/editor.tsx index 6c354c0a2c3367..1f14c0e85b40da 100644 --- a/web/app/components/workflow/nodes/_base/components/prompt/editor.tsx +++ b/web/app/components/workflow/nodes/_base/components/prompt/editor.tsx @@ -27,6 +27,7 @@ import TooltipPlus from '@/app/components/base/tooltip-plus' import CodeEditor from '@/app/components/workflow/nodes/_base/components/editor/code-editor/editor-support-vars' import Switch from '@/app/components/base/switch' import { Jinja } from '@/app/components/base/icons/src/vender/workflow' +import { useStore } from '@/app/components/workflow/store' type Props = { className?: string @@ -82,6 +83,7 @@ const Editor: FC = ({ }) => { const { t } = useTranslation() const { eventEmitter } = useEventEmitterContextContext() + const controlPromptEditorRerenderKey = useStore(s => s.controlPromptEditorRerenderKey) const isShowHistory = !isChatModel && isChatApp @@ -173,6 +175,7 @@ const Editor: FC = ({ ? (
void + isSyncingWorkflowDraft: boolean + setIsSyncingWorkflowDraft: (isSyncingWorkflowDraft: boolean) => void + controlPromptEditorRerenderKey: number + setControlPromptEditorRerenderKey: (controlPromptEditorRerenderKey: number) => void } export const createWorkflowStore = () => { @@ -209,6 +213,10 @@ export const createWorkflowStore = () => { setConnectingNodePayload: connectingNodePayload => set(() => ({ connectingNodePayload })), enteringNodePayload: undefined, setEnteringNodePayload: enteringNodePayload => set(() => ({ enteringNodePayload })), + isSyncingWorkflowDraft: false, + setIsSyncingWorkflowDraft: isSyncingWorkflowDraft => set(() => ({ isSyncingWorkflowDraft })), + controlPromptEditorRerenderKey: 0, + setControlPromptEditorRerenderKey: controlPromptEditorRerenderKey => set(() => ({ controlPromptEditorRerenderKey })), })) } diff --git a/web/app/components/workflow/syncing-data-modal.tsx b/web/app/components/workflow/syncing-data-modal.tsx new file mode 100644 index 00000000000000..fe3843d2fc09be --- /dev/null +++ b/web/app/components/workflow/syncing-data-modal.tsx @@ -0,0 +1,15 @@ +import { useStore } from './store' + +const SyncingDataModal = () => { + const isSyncingWorkflowDraft = useStore(s => s.isSyncingWorkflowDraft) + + if (!isSyncingWorkflowDraft) + return null + + return ( +
+
+ ) +} + +export default SyncingDataModal diff --git a/web/i18n/en-US/workflow.ts b/web/i18n/en-US/workflow.ts index 82e2cca044732b..9ac975f8a22c2d 100644 --- a/web/i18n/en-US/workflow.ts +++ b/web/i18n/en-US/workflow.ts @@ -67,6 +67,7 @@ const translation = { manageInTools: 'Manage in Tools', workflowAsToolTip: 'Tool reconfiguration is required after the workflow update.', viewDetailInTracingPanel: 'View details', + syncingData: 'Syncing data, just a few seconds.', }, errorMsg: { fieldRequired: '{{field}} is required', diff --git a/web/i18n/zh-Hans/workflow.ts b/web/i18n/zh-Hans/workflow.ts index e384f590f33c1c..83b933bc89fcad 100644 --- a/web/i18n/zh-Hans/workflow.ts +++ b/web/i18n/zh-Hans/workflow.ts @@ -67,6 +67,7 @@ const translation = { manageInTools: '访问工具页', workflowAsToolTip: '工作流更新后需要重新配置工具参数', viewDetailInTracingPanel: '查看详细信息', + syncingData: '同步数据中，只需几秒钟。', }, errorMsg: { fieldRequired: '{{field}} 不能为空', From ecc7f130b45b8717869a748330960adc28a07253 Mon Sep 17 00:00:00 2001 From: Pika Date: Wed, 12 Jun 2024 17:01:21 +0800 Subject: [PATCH 28/70] fix(typo): misspelling (#5094) --- .../model_providers/localai/llm/llm.py | 2 +- .../model_runtime/localai/test_llm.py | 16 ++++++++-------- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/api/core/model_runtime/model_providers/localai/llm/llm.py b/api/core/model_runtime/model_providers/localai/llm/llm.py index 161e65302ff8ad..2a3fbb5c570350 100644 --- a/api/core/model_runtime/model_providers/localai/llm/llm.py +++ b/api/core/model_runtime/model_providers/localai/llm/llm.py @@ -50,7 +50,7 @@ from core.model_runtime.utils import helper -class LocalAILarguageModel(LargeLanguageModel): +class LocalAILanguageModel(LargeLanguageModel): def _invoke(self, model: str, credentials: dict, prompt_messages: list[PromptMessage], model_parameters: dict, tools: list[PromptMessageTool] | None = None, stop: list[str] | None = None, diff --git a/api/tests/integration_tests/model_runtime/localai/test_llm.py b/api/tests/integration_tests/model_runtime/localai/test_llm.py index 208959815ca3df..6f421403d4d517 100644 --- a/api/tests/integration_tests/model_runtime/localai/test_llm.py +++ b/api/tests/integration_tests/model_runtime/localai/test_llm.py @@ -13,11 +13,11 @@ ) from core.model_runtime.entities.model_entities import ParameterRule from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.localai.llm.llm import LocalAILarguageModel +from core.model_runtime.model_providers.localai.llm.llm import LocalAILanguageModel def test_validate_credentials_for_chat_model(): - model = LocalAILarguageModel() + model = LocalAILanguageModel() with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( @@ -37,7 +37,7 @@ def test_validate_credentials_for_chat_model(): ) def test_invoke_completion_model(): - model = LocalAILarguageModel() + model = LocalAILanguageModel() response = model.invoke( model='chinese-llama-2-7b', @@ -65,7 +65,7 @@ def test_invoke_completion_model(): assert response.usage.total_tokens > 0 def test_invoke_chat_model(): - model = LocalAILarguageModel() + model = LocalAILanguageModel() response = model.invoke( model='chinese-llama-2-7b', @@ -93,7 +93,7 @@ def test_invoke_chat_model(): assert response.usage.total_tokens > 0 def test_invoke_stream_completion_model(): - model = LocalAILarguageModel() + model = LocalAILanguageModel() response = model.invoke( model='chinese-llama-2-7b', @@ -124,7 +124,7 @@ def test_invoke_stream_completion_model(): assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True def test_invoke_stream_chat_model(): - model = LocalAILarguageModel() + model = LocalAILanguageModel() response = model.invoke( model='chinese-llama-2-7b', @@ -155,7 +155,7 @@ def test_invoke_stream_chat_model(): assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True def test_get_num_tokens(): - model = LocalAILarguageModel() + model = LocalAILanguageModel() num_tokens = model.get_num_tokens( model='????', @@ -215,4 +215,4 @@ def test_get_num_tokens(): ) assert isinstance(num_tokens, int) - assert num_tokens == 10 \ No newline at end of file + assert num_tokens == 10 From ea69dc2a7e3f64a4a5de6869098fd2ed43ad70c1 Mon Sep 17 00:00:00 2001 From: xielong Date: Wed, 12 Jun 2024 17:24:23 +0800 Subject: [PATCH 29/70] feat: support hunyuan llm models (#5013) Co-authored-by: takatost Co-authored-by: Bowen Liang --- .../model_providers/_position.yaml | 1 + .../model_providers/hunyuan/__init__.py | 0 .../hunyuan/_assets/icon_l_en.png | Bin 0 -> 68638 bytes .../hunyuan/_assets/icon_s_en.png | Bin 0 -> 60824 bytes .../model_providers/hunyuan/hunyuan.py | 30 +++ .../model_providers/hunyuan/hunyuan.yaml | 40 ++++ .../model_providers/hunyuan/llm/__init__.py | 0 .../hunyuan/llm/_position.yaml | 4 + .../hunyuan/llm/hunyuan-lite.yaml | 28 +++ .../hunyuan/llm/hunyuan-pro.yaml | 28 +++ .../hunyuan/llm/hunyuan-standard-256k.yaml | 28 +++ .../hunyuan/llm/hunyuan-standard.yaml | 28 +++ .../model_providers/hunyuan/llm/llm.py | 205 ++++++++++++++++++ api/requirements.txt | 1 + .../model_runtime/hunyuan/__init__.py | 0 .../model_runtime/hunyuan/test_llm.py | 111 ++++++++++ .../model_runtime/hunyuan/test_provider.py | 25 +++ 17 files changed, 529 insertions(+) create mode 100644 api/core/model_runtime/model_providers/hunyuan/__init__.py create mode 100644 api/core/model_runtime/model_providers/hunyuan/_assets/icon_l_en.png create mode 100644 api/core/model_runtime/model_providers/hunyuan/_assets/icon_s_en.png create mode 100644 api/core/model_runtime/model_providers/hunyuan/hunyuan.py create mode 100644 api/core/model_runtime/model_providers/hunyuan/hunyuan.yaml create mode 100644 api/core/model_runtime/model_providers/hunyuan/llm/__init__.py create mode 100644 api/core/model_runtime/model_providers/hunyuan/llm/_position.yaml create mode 100644 api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-lite.yaml create mode 100644 api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-pro.yaml create mode 100644 api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-standard-256k.yaml create mode 100644 api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-standard.yaml create mode 100644 api/core/model_runtime/model_providers/hunyuan/llm/llm.py create mode 100644 api/tests/integration_tests/model_runtime/hunyuan/__init__.py create mode 100644 api/tests/integration_tests/model_runtime/hunyuan/test_llm.py create mode 100644 api/tests/integration_tests/model_runtime/hunyuan/test_provider.py diff --git a/api/core/model_runtime/model_providers/_position.yaml b/api/core/model_runtime/model_providers/_position.yaml index b483303cadbdd5..21eea7ef3bfb02 100644 --- a/api/core/model_runtime/model_providers/_position.yaml +++ b/api/core/model_runtime/model_providers/_position.yaml @@ -31,3 +31,4 @@ - 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z#f3M`80lT!+Ya^GVI?ahzUoy=*1mDX;fI|o#!;PKZS{62($A$WFgz{rL1ko4cSqZT zkt56QSAwV-HA;x}wx@k|SXA-jAF;99x9|8}abDpqmmlX@(%Z(QpG#XHZGqusf#qAn zXLWUVUY=K+{a-UnygU2ayOcOAIz2=Nq)#_jJy%v-^1TJK(;9qz9hmgtbn+i}pUl2$by-!z499FUgi#D*L^{Y2688K?ak1n64*_My1{cr@h>i#x3k*{HVG zrmMrD$b=a)M$J#>fTeQC(q*MBFgPu+ww8@+ZELw&6ojVo(!2-8=BA##wOkLYBpxw$J?GOA30*dmGjh9`_uXKJ!uQ1Eig1Ju%VgxJ3FFZF%9#Y48P}E zF-zGzJ-h$n*8T3V$n2zYyn6kPbve0#zaDZ(&OJ#Uq@gh+=~kvKkhZ|SEU;`_Y>a8! z*NCD}BTAlsmI!F-3&v`HtlaMoE1AXr`}f&bsw%5)3uJmeC_J?2hnMyNJhnd_OW%{W zK-vQRXMtrku`vxh8 None: + """ + Validate provider credentials + if validate failed, raise exception + + :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. + """ + try: + model_instance = self.get_model_instance(ModelType.LLM) + + # Use `hunyuan-standard` model for validate, + model_instance.validate_credentials( + model='hunyuan-standard', + credentials=credentials + ) + except CredentialsValidateFailedError as ex: + raise ex + except Exception as ex: + logger.exception(f'{self.get_provider_schema().provider} credentials validate failed') + raise ex diff --git a/api/core/model_runtime/model_providers/hunyuan/hunyuan.yaml b/api/core/model_runtime/model_providers/hunyuan/hunyuan.yaml new file mode 100644 index 00000000000000..835a7716f745de --- /dev/null +++ b/api/core/model_runtime/model_providers/hunyuan/hunyuan.yaml @@ -0,0 +1,40 @@ +provider: hunyuan +label: + zh_Hans: 腾讯混元 + en_US: Hunyuan +description: + en_US: Models provided by Tencent Hunyuan, such as hunyuan-standard, hunyuan-standard-256k, hunyuan-pro and hunyuan-lite. + zh_Hans: 腾讯混元提供的模型，例如 hunyuan-standard、 hunyuan-standard-256k, hunyuan-pro 和 hunyuan-lite。 +icon_small: + en_US: icon_s_en.png +icon_large: + en_US: icon_l_en.png +background: "#F6F7F7" +help: + title: + en_US: Get your API Key from Tencent Hunyuan + zh_Hans: 从腾讯混元获取 API Key + url: + en_US: https://console.cloud.tencent.com/cam/capi +supported_model_types: + - llm +configurate_methods: + - predefined-model +provider_credential_schema: + credential_form_schemas: + - variable: secret_id + label: + en_US: Secret ID + type: secret-input + required: true + placeholder: + zh_Hans: 在此输入您的 Secret ID + en_US: Enter your Secret ID + - variable: secret_key + label: + en_US: Secret Key + type: secret-input + required: true + placeholder: + zh_Hans: 在此输入您的 Secret Key + en_US: Enter your Secret Key diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/__init__.py b/api/core/model_runtime/model_providers/hunyuan/llm/__init__.py new file mode 100644 index 00000000000000..e69de29bb2d1d6 diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/_position.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/_position.yaml new file mode 100644 index 00000000000000..2c1b981f8504a4 --- /dev/null +++ b/api/core/model_runtime/model_providers/hunyuan/llm/_position.yaml @@ -0,0 +1,4 @@ +- hunyuan-lite +- hunyuan-standard +- hunyuan-standard-256k +- hunyuan-pro diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-lite.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-lite.yaml new file mode 100644 index 00000000000000..4f5a5dfb4858ae --- /dev/null +++ b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-lite.yaml @@ -0,0 +1,28 @@ +model: hunyuan-lite +label: + zh_Hans: hunyuan-lite + en_US: hunyuan-lite +model_type: llm +features: + - agent-thought + - tool-call + - multi-tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 256000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 256000 +pricing: + input: '0.00' + output: '0.00' + unit: '0.001' + currency: RMB diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-pro.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-pro.yaml new file mode 100644 index 00000000000000..d3b1b6d8b667d2 --- /dev/null +++ b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-pro.yaml @@ -0,0 +1,28 @@ +model: hunyuan-pro +label: + zh_Hans: hunyuan-pro + en_US: hunyuan-pro +model_type: llm +features: + - agent-thought + - tool-call + - multi-tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 32000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 32000 +pricing: + input: '0.03' + output: '0.10' + unit: '0.001' + currency: RMB diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-standard-256k.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-standard-256k.yaml new file mode 100644 index 00000000000000..3b28317497fd3e --- /dev/null +++ b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-standard-256k.yaml @@ -0,0 +1,28 @@ +model: hunyuan-standard-256k +label: + zh_Hans: hunyuan-standard-256k + en_US: hunyuan-standard-256k +model_type: llm +features: + - agent-thought + - tool-call + - multi-tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 256000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 256000 +pricing: + input: '0.015' + output: '0.06' + unit: '0.001' + currency: RMB diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-standard.yaml b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-standard.yaml new file mode 100644 index 00000000000000..88b27f51c4f730 --- /dev/null +++ b/api/core/model_runtime/model_providers/hunyuan/llm/hunyuan-standard.yaml @@ -0,0 +1,28 @@ +model: hunyuan-standard +label: + zh_Hans: hunyuan-standard + en_US: hunyuan-standard +model_type: llm +features: + - agent-thought + - tool-call + - multi-tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 32000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 32000 +pricing: + input: '0.0045' + output: '0.0005' + unit: '0.001' + currency: RMB diff --git a/api/core/model_runtime/model_providers/hunyuan/llm/llm.py b/api/core/model_runtime/model_providers/hunyuan/llm/llm.py new file mode 100644 index 00000000000000..2b6d8e0047426f --- /dev/null +++ b/api/core/model_runtime/model_providers/hunyuan/llm/llm.py @@ -0,0 +1,205 @@ +import json +import logging +from collections.abc import Generator + +from tencentcloud.common import credential +from tencentcloud.common.exception import TencentCloudSDKException +from tencentcloud.common.profile.client_profile import ClientProfile +from tencentcloud.common.profile.http_profile import HttpProfile +from tencentcloud.hunyuan.v20230901 import hunyuan_client, models + +from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta +from core.model_runtime.entities.message_entities import ( + AssistantPromptMessage, + PromptMessage, + PromptMessageTool, + SystemPromptMessage, + UserPromptMessage, +) +from core.model_runtime.errors.invoke import InvokeError +from core.model_runtime.errors.validate import CredentialsValidateFailedError +from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel + +logger = logging.getLogger(__name__) + +class HunyuanLargeLanguageModel(LargeLanguageModel): + + def _invoke(self, model: str, credentials: dict, prompt_messages: list[PromptMessage], + model_parameters: dict, tools: list[PromptMessageTool] | None = None, + stop: list[str] | None = None, stream: bool = True, user: str | None = None) \ + -> LLMResult | Generator: + + client = self._setup_hunyuan_client(credentials) + request = models.ChatCompletionsRequest() + messages_dict = self._convert_prompt_messages_to_dicts(prompt_messages) + + custom_parameters = { + 'Temperature': model_parameters.get('temperature', 0.0), + 'TopP': model_parameters.get('top_p', 1.0) + } + + params = { + "Model": model, + "Messages": messages_dict, + "Stream": stream, + **custom_parameters, + } + + request.from_json_string(json.dumps(params)) + response = client.ChatCompletions(request) + + if stream: + return self._handle_stream_chat_response(model, credentials, prompt_messages, response) + + return self._handle_chat_response(credentials, model, prompt_messages, response) + + def validate_credentials(self, model: str, credentials: dict) -> None: + """ + Validate credentials + """ + try: + client = self._setup_hunyuan_client(credentials) + + req = models.ChatCompletionsRequest() + params = { + "Model": model, + "Messages": [{ + "Role": "user", + "Content": "hello" + }], + "TopP": 1, + "Temperature": 0, + "Stream": False + } + req.from_json_string(json.dumps(params)) + client.ChatCompletions(req) + except Exception as e: + raise CredentialsValidateFailedError(f'Credentials validation failed: {e}') + + def _setup_hunyuan_client(self, credentials): + secret_id = credentials['secret_id'] + secret_key = credentials['secret_key'] + cred = credential.Credential(secret_id, secret_key) + httpProfile = HttpProfile() + httpProfile.endpoint = "hunyuan.tencentcloudapi.com" + clientProfile = ClientProfile() + clientProfile.httpProfile = httpProfile + client = hunyuan_client.HunyuanClient(cred, "", clientProfile) + return client + + def _convert_prompt_messages_to_dicts(self, prompt_messages: list[PromptMessage]) -> list[dict]: + """Convert a list of PromptMessage objects to a list of dictionaries with 'Role' and 'Content' keys.""" + return [{"Role": message.role.value, "Content": message.content} for message in prompt_messages] + + def _handle_stream_chat_response(self, model, credentials, prompt_messages, resp): + for index, event in enumerate(resp): + logging.debug("_handle_stream_chat_response, event: %s", event) + + data_str = event['data'] + data = json.loads(data_str) + + choices = data.get('Choices', []) + if not choices: + continue + choice = choices[0] + delta = choice.get('Delta', {}) + message_content = delta.get('Content', '') + finish_reason = choice.get('FinishReason', '') + + usage = data.get('Usage', {}) + prompt_tokens = usage.get('PromptTokens', 0) + completion_tokens = usage.get('CompletionTokens', 0) + usage = self._calc_response_usage(model, credentials, prompt_tokens, completion_tokens) + + assistant_prompt_message = AssistantPromptMessage( + content=message_content, + tool_calls=[] + ) + + delta_chunk = LLMResultChunkDelta( + index=index, + role=delta.get('Role', 'assistant'), + message=assistant_prompt_message, + usage=usage, + finish_reason=finish_reason, + ) + + yield LLMResultChunk( + model=model, + prompt_messages=prompt_messages, + delta=delta_chunk, + ) + + def _handle_chat_response(self, credentials, model, prompt_messages, response): + usage = self._calc_response_usage(model, credentials, response.Usage.PromptTokens, + response.Usage.CompletionTokens) + assistant_prompt_message = PromptMessage(role="assistant") + assistant_prompt_message.content = response.Choices[0].Message.Content + result = LLMResult( + model=model, + prompt_messages=prompt_messages, + message=assistant_prompt_message, + usage=usage, + ) + + return result + + def get_num_tokens(self, model: str, credentials: dict, prompt_messages: list[PromptMessage], + tools: list[PromptMessageTool] | None = None) -> int: + if len(prompt_messages) == 0: + return 0 + prompt = self._convert_messages_to_prompt(prompt_messages) + return self._get_num_tokens_by_gpt2(prompt) + + def _convert_messages_to_prompt(self, messages: list[PromptMessage]) -> str: + """ + Format a list of messages into a full prompt for the Anthropic model + + :param messages: List of PromptMessage to combine. + :return: Combined string with necessary human_prompt and ai_prompt tags. + """ + messages = messages.copy() # don't mutate the original list + + text = "".join( + self._convert_one_message_to_text(message) + for message in messages + ) + + # trim off the trailing ' ' that might come from the "Assistant: " + return text.rstrip() + + def _convert_one_message_to_text(self, message: PromptMessage) -> str: + """ + Convert a single message to a string. + + :param message: PromptMessage to convert. + :return: String representation of the message. + """ + human_prompt = "\n\nHuman:" + ai_prompt = "\n\nAssistant:" + content = message.content + + if isinstance(message, UserPromptMessage): + message_text = f"{human_prompt} {content}" + elif isinstance(message, AssistantPromptMessage): + message_text = f"{ai_prompt} {content}" + elif isinstance(message, SystemPromptMessage): + message_text = content + else: + raise ValueError(f"Got unknown type {message}") + + return message_text + + @property + def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: + """ + Map model invoke error to unified error + The key is the error type thrown to the caller + The value is the error type thrown by the model, + which needs to be converted into a unified error type for the caller. + + :return: Invoke error mapping + """ + return { + InvokeError: [TencentCloudSDKException], + } diff --git a/api/requirements.txt b/api/requirements.txt index 1749b4a2df036e..36a08a287a3433 100644 --- a/api/requirements.txt +++ b/api/requirements.txt @@ -85,3 +85,4 @@ pymysql==1.1.1 tidb-vector==0.0.9 google-cloud-aiplatform==1.49.0 vanna[postgres,mysql,clickhouse,duckdb]==0.5.5 +tencentcloud-sdk-python-hunyuan~=3.0.1158 \ No newline at end of file diff --git a/api/tests/integration_tests/model_runtime/hunyuan/__init__.py b/api/tests/integration_tests/model_runtime/hunyuan/__init__.py new file mode 100644 index 00000000000000..e69de29bb2d1d6 diff --git a/api/tests/integration_tests/model_runtime/hunyuan/test_llm.py b/api/tests/integration_tests/model_runtime/hunyuan/test_llm.py new file mode 100644 index 00000000000000..305f967ef0a785 --- /dev/null +++ b/api/tests/integration_tests/model_runtime/hunyuan/test_llm.py @@ -0,0 +1,111 @@ +import os +from collections.abc import Generator + +import pytest + +from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta +from core.model_runtime.entities.message_entities import AssistantPromptMessage, SystemPromptMessage, UserPromptMessage +from core.model_runtime.errors.validate import CredentialsValidateFailedError +from core.model_runtime.model_providers.hunyuan.llm.llm import HunyuanLargeLanguageModel + + +def test_validate_credentials(): + model = HunyuanLargeLanguageModel() + + with pytest.raises(CredentialsValidateFailedError): + model.validate_credentials( + model='hunyuan-standard', + credentials={ + 'secret_id': 'invalid_key', + 'secret_key': 'invalid_key' + } + ) + + model.validate_credentials( + model='hunyuan-standard', + credentials={ + 'secret_id': os.environ.get('HUNYUAN_SECRET_ID'), + 'secret_key': os.environ.get('HUNYUAN_SECRET_KEY') + } + ) + + +def test_invoke_model(): + model = HunyuanLargeLanguageModel() + + response = model.invoke( + model='hunyuan-standard', + credentials={ + 'secret_id': os.environ.get('HUNYUAN_SECRET_ID'), + 'secret_key': os.environ.get('HUNYUAN_SECRET_KEY') + }, + prompt_messages=[ + UserPromptMessage( + content='Hi' + ) + ], + model_parameters={ + 'temperature': 0.5, + 'max_tokens': 10 + }, + stop=['How'], + stream=False, + user="abc-123" + ) + + assert isinstance(response, LLMResult) + assert len(response.message.content) > 0 + + +def test_invoke_stream_model(): + model = HunyuanLargeLanguageModel() + + response = model.invoke( + model='hunyuan-standard', + credentials={ + 'secret_id': os.environ.get('HUNYUAN_SECRET_ID'), + 'secret_key': os.environ.get('HUNYUAN_SECRET_KEY') + }, + prompt_messages=[ + UserPromptMessage( + content='Hi' + ) + ], + model_parameters={ + 'temperature': 0.5, + 'max_tokens': 100, + 'seed': 1234 + }, + stream=True, + user="abc-123" + ) + + assert isinstance(response, Generator) + + for chunk in response: + assert isinstance(chunk, LLMResultChunk) + assert isinstance(chunk.delta, LLMResultChunkDelta) + assert isinstance(chunk.delta.message, AssistantPromptMessage) + assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True + + +def test_get_num_tokens(): + model = HunyuanLargeLanguageModel() + + num_tokens = model.get_num_tokens( + model='hunyuan-standard', + credentials={ + 'secret_id': os.environ.get('HUNYUAN_SECRET_ID'), + 'secret_key': os.environ.get('HUNYUAN_SECRET_KEY') + }, + prompt_messages=[ + SystemPromptMessage( + content='You are a helpful AI assistant.', + ), + UserPromptMessage( + content='Hello World!' + ) + ] + ) + + assert num_tokens == 14 diff --git a/api/tests/integration_tests/model_runtime/hunyuan/test_provider.py b/api/tests/integration_tests/model_runtime/hunyuan/test_provider.py new file mode 100644 index 00000000000000..bdec3d0e22d6d5 --- /dev/null +++ b/api/tests/integration_tests/model_runtime/hunyuan/test_provider.py @@ -0,0 +1,25 @@ +import os + +import pytest + +from core.model_runtime.errors.validate import CredentialsValidateFailedError +from core.model_runtime.model_providers.hunyuan.hunyuan import HunyuanProvider + + +def test_validate_provider_credentials(): + provider = HunyuanProvider() + + with pytest.raises(CredentialsValidateFailedError): + provider.validate_provider_credentials( + credentials={ + 'secret_id': 'invalid_key', + 'secret_key': 'invalid_key' + } + ) + + provider.validate_provider_credentials( + credentials={ + 'secret_id': os.environ.get('HUNYUAN_SECRET_ID'), + 'secret_key': os.environ.get('HUNYUAN_SECRET_KEY') + } + ) From e04fc9b3049980fc3f27f121967fafba82400cea Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=9D=9E=E6=B3=95=E6=93=8D=E4=BD=9C?= Date: Wed, 12 Jun 2024 17:46:53 +0800 Subject: [PATCH 30/70] fix: select field not work when it is not required (#5101) --- api/core/tools/tool_manager.py | 2 +- web/app/components/base/select/index.tsx | 25 ++++++++++++++++++------ 2 files changed, 20 insertions(+), 7 deletions(-) diff --git a/api/core/tools/tool_manager.py b/api/core/tools/tool_manager.py index a0ca9f692a4156..aa184176a11c15 100644 --- a/api/core/tools/tool_manager.py +++ b/api/core/tools/tool_manager.py @@ -210,7 +210,7 @@ def _init_runtime_parameter(cls, parameter_rule: ToolParameter, parameters: dict if parameter_rule.type == ToolParameter.ToolParameterType.SELECT: # check if tool_parameter_config in options options = list(map(lambda x: x.value, parameter_rule.options)) - if parameter_value not in options: + if parameter_value is not None and parameter_value not in options: raise ValueError( f"tool parameter {parameter_rule.name} value {parameter_value} not in options {options}") diff --git a/web/app/components/base/select/index.tsx b/web/app/components/base/select/index.tsx index 503aeab63544db..51e371ac09aa7b 100644 --- a/web/app/components/base/select/index.tsx +++ b/web/app/components/base/select/index.tsx @@ -3,7 +3,7 @@ import type { FC } from 'react' import React, { Fragment, useEffect, useState } from 'react' import { Combobox, Listbox, Transition } from '@headlessui/react' import classNames from 'classnames' -import { CheckIcon, ChevronDownIcon, ChevronUpIcon } from '@heroicons/react/20/solid' +import { CheckIcon, ChevronDownIcon, ChevronUpIcon, XMarkIcon } from '@heroicons/react/20/solid' import { useTranslation } from 'react-i18next' import { PortalToFollowElem, @@ -184,11 +184,24 @@ const SimpleSelect: FC = ({

{selectedItem?.name ?? localPlaceholder} - - {!disabled && ( From b399e8a359880bfdfda63a7ffb558b398283c6d7 Mon Sep 17 00:00:00 2001 From: Harry Wang Date: Wed, 12 Jun 2024 06:02:22 -0400 Subject: [PATCH 31/70] fixed a typo and grammar error in sampled app (#5061) --- api/constants/recommended_apps.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/api/constants/recommended_apps.json b/api/constants/recommended_apps.json index 68c913f80a7517..090a1c3b80ffaa 100644 --- a/api/constants/recommended_apps.json +++ b/api/constants/recommended_apps.json @@ -585,7 +585,7 @@ "name": "SVG Logo Design " }, "2cb0135b-a342-4ef3-be05-d2addbfceec7": { - "export_data": "app:\n icon: \"\\U0001F916\"\n icon_background: '#FFEAD5'\n mode: completion\n name: Fully SEO Optimized Article including FAQs\nmodel_config:\n agent_mode:\n enabled: false\n max_iteration: 5\n strategy: function_call\n tools: []\n annotation_reply:\n enabled: false\n chat_prompt_config: {}\n completion_prompt_config: {}\n dataset_configs:\n datasets:\n datasets: []\n retrieval_model: single\n dataset_query_variable: ''\n external_data_tools: []\n file_upload:\n image:\n detail: high\n enabled: false\n number_limits: 3\n transfer_methods:\n - remote_url\n - local_file\n model:\n completion_params:\n frequency_penalty: 0\n max_tokens: 4096\n presence_penalty: 0\n stop: []\n temperature: 0\n top_p: 1\n mode: chat\n name: gpt-3.5-turbo-0125\n provider: openai\n more_like_this:\n enabled: false\n opening_statement: ''\n pre_prompt: \"## Job Description: Fully SEO Optimized Article including FAQ's\\n##\\\n \\ Workflow\\nFirst Step. Before starting an article, Must Develop a comprehensive\\\n \\ \\\"Outline\\\" for a long-form article for the Keyword {{prompt}}, featuring at\\\n \\ least 18 engaging headings and subheadings that are detailed, mutually exclusive,\\\n \\ collectively exhaustive, and cover the entire topic. Must use LSI Keywords in\\\n \\ headings and sub-headings without mentioning them in the \\\"Content\\\". Must show\\\n \\ these \\\"Outlines\\\" in a table. \\n\\nSecond Step Using markdown formatting, act\\\n \\ as an Expert Article Writer and write a fully detailed, long-form, 100% unique,\\\n \\ creative, and human-like informational article of a minimum of 2000 words in\\\n \\ Grade 7 English, using headings and sub-headings. The article should be written\\\n \\ in a formal, informative, and optimistic tone. \\nMust Read all the information\\\n \\ below. Use {{target_language}} for the keyword \\\"{{prompt}}\\\" and write at least\\\n \\ 400\\u2013500 words of engaging paragraph under each and every Heading. This\\\n \\ article should show the experience, expertise, authority and trust for the Topic\\\n \\ {{prompt}}. Include insights based on first-hand knowledge or experiences, and\\\n \\ support the content with credible sources when necessary. Focus on providing\\\n \\ accurate, relevant, and helpful information to readers, showcasing both subject\\\n \\ matter expertise and personal experience in the topic {{prompt}}. Write engaging,\\\n \\ unique, and plagiarism-free content that incorporates a human-like style, and\\\n \\ simple English and bypass ai detector tests directly without mentioning them.\\\n \\ Try to use contractions, idioms, transitional phrases, interjections, dangling\\\n \\ modifiers, and colloquialisms, and avoid repetitive words and unnatural sentence\\\n \\ structures. The article must include an SEO meta-description right after the\\\n \\ title (you must include the {{prompt}} in the description), an introduction,\\\n \\ and a click-worthy short title. Also, use the seed keyword as the first H2.\\\n \\ Always use a combination of paragraphs, lists, and tables for a better reader\\\n \\ experience. Use fully detailed paragraphs that engage the reader. Write at least\\\n \\ one section with the heading {{prompt}}. Write down at least six FAQs with answers\\\n \\ and a conclusion. \\n\\nNote: Don't assign Numbers to Headings. Don't assign numbers\\\n \\ to Questions. Don't write Q: before the question (faqs) Make sure the article\\\n \\ is plagiarism-free. Don't forget to use a question mark (?) at the end of questions.\\\n \\ Try not to change the original {{prompt}} while writing the title. Try to use\\\n \\ \\\"{{prompt}}\\\" 2-3 times in the article. Try to include {{prompt}} in the headings\\\n \\ as well. write content that can easily pass the AI detection tools test. Bold\\\n \\ all the headings and sub-headings using Markdown formatting. \\n\\n### Constraits:\\\n \\ MUST FOLLOW THESE INSTRUCTIONS IN THE ARTICLE:\\n0. Use {{target_language}} strictly\\\n \\ in your response. \\n1. Make sure you are using the Focus Keyword in the SEO\\\n \\ Title.\\n2. Use The Focus Keyword inside the SEO Meta Description.\\n3. Make Sure\\\n \\ The Focus Keyword appears in the first 10% of the content.\\n4. Make sure The\\\n \\ Focus Keyword was found in the content\\n5. Make sure Your content is 2000 words\\\n \\ long.\\n6. Must use The Focus Keyword in the subheading(s).\\n7. Make sure the\\\n \\ Keyword Density is 1.30\\n8. Must Create At least one external link in the content.\\n\\\n 9. Must use a positive or a negative sentiment word in the Title.\\n10. Must use\\\n \\ a Power Keyword in the Title.\\n11. Must use a Number in the Title. Note: Now\\\n \\ Execute the First step and after completion of first step automatically start\\\n \\ the second step. \\n\\n## Context\\nUse the below information as context of the\\\n \\ SEO article. ## Job Description: Fully SEO Optimized Article including FAQ's\\n\\\n {{context}} \\n\\n\"\n prompt_type: simple\n retriever_resource:\n enabled: false\n sensitive_word_avoidance:\n configs: []\n enabled: false\n type: ''\n speech_to_text:\n enabled: false\n suggested_questions: []\n suggested_questions_after_answer:\n enabled: false\n text_to_speech:\n enabled: false\n language: ''\n voice: ''\n user_input_form:\n - text-input:\n default: ''\n label: Keywords\n required: true\n variable: prompt\n - select:\n default: ''\n label: Target Language\n options:\n - \"\\u4E2D\\u6587\"\n - English\n - \"Portugu\\xEAs\"\n required: true\n variable: target_language\n - paragraph:\n default: ''\n label: Context\n required: true\n variable: context\n", + "export_data": "app:\n icon: \"\\U0001F916\"\n icon_background: '#FFEAD5'\n mode: completion\n name: Fully SEO Optimized Article including FAQs\nmodel_config:\n agent_mode:\n enabled: false\n max_iteration: 5\n strategy: function_call\n tools: []\n annotation_reply:\n enabled: false\n chat_prompt_config: {}\n completion_prompt_config: {}\n dataset_configs:\n datasets:\n datasets: []\n retrieval_model: single\n dataset_query_variable: ''\n external_data_tools: []\n file_upload:\n image:\n detail: high\n enabled: false\n number_limits: 3\n transfer_methods:\n - remote_url\n - local_file\n model:\n completion_params:\n frequency_penalty: 0\n max_tokens: 4096\n presence_penalty: 0\n stop: []\n temperature: 0\n top_p: 1\n mode: chat\n name: gpt-3.5-turbo-0125\n provider: openai\n more_like_this:\n enabled: false\n opening_statement: ''\n pre_prompt: \"## Job Description: Fully SEO Optimized Article including FAQ's\\n##\\\n \\ Workflow\\nFirst Step. Before starting an article, Must Develop a comprehensive\\\n \\ \\\"Outline\\\" for a long-form article for the Keyword {{prompt}}, featuring at\\\n \\ least 18 engaging headings and subheadings that are detailed, mutually exclusive,\\\n \\ collectively exhaustive, and cover the entire topic. Must use LSI Keywords in\\\n \\ headings and sub-headings without mentioning them in the \\\"Content\\\". Must show\\\n \\ these \\\"Outlines\\\" in a table. \\n\\nSecond Step Using markdown formatting, act\\\n \\ as an Expert Article Writer and write a fully detailed, long-form, 100% unique,\\\n \\ creative, and human-like informational article of a minimum of 2000 words in\\\n \\ Grade 7 English, using headings and sub-headings. The article should be written\\\n \\ in a formal, informative, and optimistic tone. \\nMust Read all the information\\\n \\ below. Use {{target_language}} for the keyword \\\"{{prompt}}\\\" and write at least\\\n \\ 400\\u2013500 words of engaging paragraph under each and every Heading. This\\\n \\ article should show the experience, expertise, authority and trust for the Topic\\\n \\ {{prompt}}. Include insights based on first-hand knowledge or experiences, and\\\n \\ support the content with credible sources when necessary. Focus on providing\\\n \\ accurate, relevant, and helpful information to readers, showcasing both subject\\\n \\ matter expertise and personal experience in the topic {{prompt}}. Write engaging,\\\n \\ unique, and plagiarism-free content that incorporates a human-like style, and\\\n \\ simple English and bypass ai detector tests directly without mentioning them.\\\n \\ Try to use contractions, idioms, transitional phrases, interjections, dangling\\\n \\ modifiers, and colloquialisms, and avoid repetitive words and unnatural sentence\\\n \\ structures. The article must include an SEO meta-description right after the\\\n \\ title (you must include the {{prompt}} in the description), an introduction,\\\n \\ and a click-worthy short title. Also, use the seed keyword as the first H2.\\\n \\ Always use a combination of paragraphs, lists, and tables for a better reader\\\n \\ experience. Use fully detailed paragraphs that engage the reader. Write at least\\\n \\ one section with the heading {{prompt}}. Write down at least six FAQs with answers\\\n \\ and a conclusion. \\n\\nNote: Don't assign Numbers to Headings. Don't assign numbers\\\n \\ to Questions. Don't write Q: before the question (faqs) Make sure the article\\\n \\ is plagiarism-free. Don't forget to use a question mark (?) at the end of questions.\\\n \\ Try not to change the original {{prompt}} while writing the title. Try to use\\\n \\ \\\"{{prompt}}\\\" 2-3 times in the article. Try to include {{prompt}} in the headings\\\n \\ as well. write content that can easily pass the AI detection tools test. Bold\\\n \\ all the headings and sub-headings using Markdown formatting. \\n\\n## Constrains:\\\n \\ MUST FOLLOW THESE INSTRUCTIONS IN THE ARTICLE:\\n0. Use {{target_language}} strictly\\\n \\ in your response. \\n1. Make sure you are using the Focus Keyword in the SEO\\\n \\ Title.\\n2. Use The Focus Keyword inside the SEO Meta Description.\\n3. Make Sure\\\n \\ The Focus Keyword appears in the first 10% of the content.\\n4. Make sure The\\\n \\ Focus Keyword was found in the content\\n5. Make sure Your content is 2000 words\\\n \\ long.\\n6. Must use The Focus Keyword in the subheading(s).\\n7. Make sure the\\\n \\ Keyword Density is 1.30\\n8. Must Create At least one external link in the content.\\n\\\n 9. Must use a positive or a negative sentiment word in the Title.\\n10. Must use\\\n \\ a Power Keyword in the Title.\\n11. Must use a Number in the Title. Note: Now\\\n \\ Execute the First step and after completion of first step automatically start\\\n \\ the second step. \\n\\n## Context\\nUse the information below as the context of the\\\n \\ SEO article. ## Job Description: Fully SEO Optimized Article including FAQ's\\n\\\n {{context}} \\n\\n\"\n prompt_type: simple\n retriever_resource:\n enabled: false\n sensitive_word_avoidance:\n configs: []\n enabled: false\n type: ''\n speech_to_text:\n enabled: false\n suggested_questions: []\n suggested_questions_after_answer:\n enabled: false\n text_to_speech:\n enabled: false\n language: ''\n voice: ''\n user_input_form:\n - text-input:\n default: ''\n label: Keywords\n required: true\n variable: prompt\n - select:\n default: ''\n label: Target Language\n options:\n - \"\\u4E2D\\u6587\"\n - English\n - \"Portugu\\xEAs\"\n required: true\n variable: target_language\n - paragraph:\n default: ''\n label: Context\n required: true\n variable: context\n", "icon": "\ud83e\udd16", "icon_background": "#FFEAD5", "id": "2cb0135b-a342-4ef3-be05-d2addbfceec7", From 11fd4a5dcc657db8ce9c836fc69f955eaac3b451 Mon Sep 17 00:00:00 2001 From: fishisnow Date: Wed, 12 Jun 2024 19:27:01 +0800 Subject: [PATCH 32/70] Fix: fix load_yaml logging, Avoid setting the log level to warning (#5019) Co-authored-by: huangyusong --- api/core/tools/utils/yaml_utils.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/api/core/tools/utils/yaml_utils.py b/api/core/tools/utils/yaml_utils.py index 22e4d3d1280b2a..3526647b4f6d2e 100644 --- a/api/core/tools/utils/yaml_utils.py +++ b/api/core/tools/utils/yaml_utils.py @@ -4,6 +4,7 @@ import yaml from yaml import YAMLError +logger = logging.getLogger(__name__) def load_yaml_file(file_path: str, ignore_error: bool = False) -> dict: """ @@ -24,11 +25,11 @@ def load_yaml_file(file_path: str, ignore_error: bool = False) -> dict: except Exception as e: raise YAMLError(f'Failed to load YAML file {file_path}: {e}') except 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"threadpoolctl" version = "3.5.0" @@ -7523,4 +7551,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = "^3.10" -content-hash = "f0a99f84a0dc46b22eaea2344f205fda66f1e99be10806749492e12a7bcf66cf" +content-hash = "014b13a1202e835c1bb52f033d389eb7076d4632ec4e4b4b78f976d33663d6d5" diff --git a/api/pyproject.toml b/api/pyproject.toml index 9f4c578322684b..bd4984207371dc 100644 --- a/api/pyproject.toml +++ b/api/pyproject.toml @@ -178,6 +178,7 @@ tidb-vector = "0.0.9" google-cloud-aiplatform = "1.49.0" vanna = {version = "0.5.5", extras = ["postgres", "mysql", "clickhouse", "duckdb"]} kaleido = "0.2.1" +tencentcloud-sdk-python-hunyuan = "~3.0.1158" [tool.poetry.group.dev] optional = true From d6fa130cb54dd769cb049c6fa83f131ae0a8b0a5 Mon Sep 17 00:00:00 2001 From: "Charlie.Wei" Date: Thu, 13 Jun 2024 08:05:55 +0800 Subject: [PATCH 34/70] remove dalle3 seed (#5136) Co-authored-by: luowei Co-authored-by: crazywoola <427733928@qq.com> Co-authored-by: crazywoola <100913391+crazywoola@users.noreply.github.com> --- .../tools/provider/builtin/dalle/tools/dalle3.py | 6 ------ .../tools/provider/builtin/dalle/tools/dalle3.yaml | 13 ------------- 2 files changed, 19 deletions(-) diff --git a/api/core/tools/provider/builtin/dalle/tools/dalle3.py b/api/core/tools/provider/builtin/dalle/tools/dalle3.py index 45a289ddf8c80f..61609947faf40b 100644 --- a/api/core/tools/provider/builtin/dalle/tools/dalle3.py +++ b/api/core/tools/provider/builtin/dalle/tools/dalle3.py @@ -54,9 +54,6 @@ def _invoke(self, style = tool_parameters.get('style', 'vivid') if style not in ['natural', 'vivid']: return self.create_text_message('Invalid style') - # set extra body - seed_id = tool_parameters.get('seed_id', self._generate_random_id(8)) - extra_body = {'seed': seed_id} # call openapi dalle3 response = client.images.generate( @@ -64,7 +61,6 @@ def _invoke(self, model='dall-e-3', size=size, n=n, - extra_body=extra_body, style=style, quality=quality, response_format='b64_json' @@ -76,8 +72,6 @@ def _invoke(self, result.append(self.create_blob_message(blob=b64decode(image.b64_json), meta={'mime_type': 'image/png'}, save_as=self.VARIABLE_KEY.IMAGE.value)) - result.append(self.create_text_message(f'\nGenerate image source to Seed ID: {seed_id}')) - return result @staticmethod diff --git a/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml b/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml index b07a17212e9b63..7ba5c56889c7e4 100644 --- a/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml +++ b/api/core/tools/provider/builtin/dalle/tools/dalle3.yaml @@ -29,19 +29,6 @@ parameters: pt_BR: Image prompt, you can check the official documentation of DallE 3 llm_description: Image prompt of DallE 3, you should describe the image you want to generate as a list of words as possible as detailed form: llm - - name: seed_id - type: string - required: false - label: - en_US: Seed ID - zh_Hans: 种子ID - pt_BR: ID da semente - human_description: - en_US: Image generation seed ID to ensure consistency of series generated images - zh_Hans: 图像生成种子ID，确保系列生成图像的一致性 - pt_BR: ID de semente de geração de imagem para garantir a consistência das imagens geradas em série - llm_description: If the user requests image consistency, extract the seed ID from the user's question or context.The seed id consists of an 8-bit string containing uppercase and lowercase letters and numbers - form: llm - name: size type: select required: true From 79e848994287d3703ba51590895cf5399e31fd18 Mon Sep 17 00:00:00 2001 From: orangeclk Date: Thu, 13 Jun 2024 12:59:41 +0800 Subject: [PATCH 35/70] feat: support siliconflow (#5129) --- .../model_providers/_position.yaml | 1 + .../siliconflow/_assets/siliconflow.svg | 1 + .../_assets/siliconflow_square.svg | 1 + .../siliconflow/llm/_position.yaml | 8 +++++ .../siliconflow/llm/deepseek-v2-chat.yaml | 32 +++++++++++++++++++ .../siliconflow/llm/glm4-9b-chat.yaml | 32 +++++++++++++++++++ .../model_providers/siliconflow/llm/llm.py | 25 +++++++++++++++ .../llm/qwen2-57b-a14b-instruct.yaml | 32 +++++++++++++++++++ .../siliconflow/llm/qwen2-72b-instruct.yaml | 32 +++++++++++++++++++ .../siliconflow/llm/qwen2-7b-instruct.yaml | 32 +++++++++++++++++++ .../siliconflow/llm/yi-1.5-34b-chat.yaml | 32 +++++++++++++++++++ .../siliconflow/llm/yi-1.5-6b-chat.yaml | 32 +++++++++++++++++++ .../siliconflow/llm/yi-1.5-9b-chat.yaml | 32 +++++++++++++++++++ .../siliconflow/siliconflow.py | 29 +++++++++++++++++ .../siliconflow/siliconflow.yaml | 29 +++++++++++++++++ 15 files changed, 350 insertions(+) create mode 100644 api/core/model_runtime/model_providers/siliconflow/_assets/siliconflow.svg create mode 100644 api/core/model_runtime/model_providers/siliconflow/_assets/siliconflow_square.svg create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2-chat.yaml create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/glm4-9b-chat.yaml create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/llm.py create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/qwen2-57b-a14b-instruct.yaml create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/qwen2-72b-instruct.yaml create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/qwen2-7b-instruct.yaml create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-34b-chat.yaml create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-6b-chat.yaml create mode 100644 api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-9b-chat.yaml create mode 100644 api/core/model_runtime/model_providers/siliconflow/siliconflow.py create mode 100644 api/core/model_runtime/model_providers/siliconflow/siliconflow.yaml diff --git a/api/core/model_runtime/model_providers/_position.yaml b/api/core/model_runtime/model_providers/_position.yaml index 21eea7ef3bfb02..da654d21741d88 100644 --- a/api/core/model_runtime/model_providers/_position.yaml +++ b/api/core/model_runtime/model_providers/_position.yaml @@ -32,3 +32,4 @@ - openai_api_compatible - deepseek - hunyuan +- siliconflow diff --git a/api/core/model_runtime/model_providers/siliconflow/_assets/siliconflow.svg b/api/core/model_runtime/model_providers/siliconflow/_assets/siliconflow.svg new file mode 100644 index 00000000000000..16e406f030225b --- /dev/null +++ b/api/core/model_runtime/model_providers/siliconflow/_assets/siliconflow.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/siliconflow/_assets/siliconflow_square.svg b/api/core/model_runtime/model_providers/siliconflow/_assets/siliconflow_square.svg new file mode 100644 index 00000000000000..ad6b384f7acd21 --- /dev/null +++ b/api/core/model_runtime/model_providers/siliconflow/_assets/siliconflow_square.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml new file mode 100644 index 00000000000000..20bb0790c2234e --- /dev/null +++ b/api/core/model_runtime/model_providers/siliconflow/llm/_position.yaml @@ -0,0 +1,8 @@ +- deepseek-v2-chat +- qwen2-72b-instruct +- qwen2-57b-a14b-instruct +- qwen2-7b-instruct +- yi-1.5-34b-chat +- yi-1.5-9b-chat +- yi-1.5-6b-chat +- glm4-9B-chat diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2-chat.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2-chat.yaml new file mode 100644 index 00000000000000..da58e822f9018e --- /dev/null +++ b/api/core/model_runtime/model_providers/siliconflow/llm/deepseek-v2-chat.yaml @@ -0,0 +1,32 @@ +model: deepseek-ai/deepseek-v2-chat +label: + en_US: deepseek-ai/deepseek-v2-chat +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + - name: max_tokens + use_template: max_tokens + type: int + default: 512 + min: 1 + max: 4096 + help: + zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: top_p + use_template: top_p + - name: frequency_penalty + use_template: frequency_penalty +pricing: + input: '1.33' + output: '1.33' + unit: '0.000001' + currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/glm4-9b-chat.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/glm4-9b-chat.yaml new file mode 100644 index 00000000000000..115fc50b943b94 --- /dev/null +++ b/api/core/model_runtime/model_providers/siliconflow/llm/glm4-9b-chat.yaml @@ -0,0 +1,32 @@ +model: zhipuai/glm4-9B-chat +label: + en_US: zhipuai/glm4-9B-chat +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + - name: max_tokens + use_template: max_tokens + type: int + default: 512 + min: 1 + max: 4096 + help: + zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: top_p + use_template: top_p + - name: frequency_penalty + use_template: frequency_penalty +pricing: + input: '0.6' + output: '0.6' + unit: '0.000001' + currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/llm.py b/api/core/model_runtime/model_providers/siliconflow/llm/llm.py new file mode 100644 index 00000000000000..a9ce7b98c35a39 --- /dev/null +++ b/api/core/model_runtime/model_providers/siliconflow/llm/llm.py @@ -0,0 +1,25 @@ +from collections.abc import Generator +from typing import Optional, Union + +from core.model_runtime.entities.llm_entities import LLMResult +from core.model_runtime.entities.message_entities import PromptMessage, PromptMessageTool +from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel + + +class SiliconflowLargeLanguageModel(OAIAPICompatLargeLanguageModel): + def _invoke(self, model: str, credentials: dict, + prompt_messages: list[PromptMessage], model_parameters: dict, + tools: Optional[list[PromptMessageTool]] = None, stop: Optional[list[str]] = None, + stream: bool = True, user: Optional[str] = None) \ + -> Union[LLMResult, Generator]: + self._add_custom_parameters(credentials) + return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream) + + def validate_credentials(self, model: str, credentials: dict) -> None: + self._add_custom_parameters(credentials) + super().validate_credentials(model, credentials) + + @classmethod + def _add_custom_parameters(cls, credentials: dict) -> None: + credentials['mode'] = 'chat' + credentials['endpoint_url'] = 'https://api.siliconflow.cn/v1' diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-57b-a14b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-57b-a14b-instruct.yaml new file mode 100644 index 00000000000000..75eca7720c2203 --- /dev/null +++ b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-57b-a14b-instruct.yaml @@ -0,0 +1,32 @@ +model: alibaba/Qwen2-57B-A14B-Instruct +label: + en_US: alibaba/Qwen2-57B-A14B-Instruct +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + - name: max_tokens + use_template: max_tokens + type: int + default: 512 + min: 1 + max: 4096 + help: + zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: top_p + use_template: top_p + - name: frequency_penalty + use_template: frequency_penalty +pricing: + input: '1.26' + output: '1.26' + unit: '0.000001' + currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-72b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-72b-instruct.yaml new file mode 100644 index 00000000000000..fcbc9e0b685bc2 --- /dev/null +++ b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-72b-instruct.yaml @@ -0,0 +1,32 @@ +model: alibaba/Qwen2-72B-Instruct +label: + en_US: alibaba/Qwen2-72B-Instruct +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + - name: max_tokens + use_template: max_tokens + type: int + default: 512 + min: 1 + max: 4096 + help: + zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: top_p + use_template: top_p + - name: frequency_penalty + use_template: frequency_penalty +pricing: + input: '4.13' + output: '4.13' + unit: '0.000001' + currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-7b-instruct.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-7b-instruct.yaml new file mode 100644 index 00000000000000..eda1d40642d716 --- /dev/null +++ b/api/core/model_runtime/model_providers/siliconflow/llm/qwen2-7b-instruct.yaml @@ -0,0 +1,32 @@ +model: alibaba/Qwen2-7B-Instruct +label: + en_US: alibaba/Qwen2-7B-Instruct +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + - name: max_tokens + use_template: max_tokens + type: int + default: 512 + min: 1 + max: 4096 + help: + zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: top_p + use_template: top_p + - name: frequency_penalty + use_template: frequency_penalty +pricing: + input: '0.35' + output: '0.35' + unit: '0.000001' + currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-34b-chat.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-34b-chat.yaml new file mode 100644 index 00000000000000..6656e663e91008 --- /dev/null +++ b/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-34b-chat.yaml @@ -0,0 +1,32 @@ +model: 01-ai/Yi-1.5-34B-Chat +label: + en_US: 01-ai/Yi-1.5-34B-Chat +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 16384 +parameter_rules: + - name: temperature + use_template: temperature + - name: max_tokens + use_template: max_tokens + type: int + default: 512 + min: 1 + max: 4096 + help: + zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: top_p + use_template: top_p + - name: frequency_penalty + use_template: frequency_penalty +pricing: + input: '1.26' + output: '1.26' + unit: '0.000001' + currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-6b-chat.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-6b-chat.yaml new file mode 100644 index 00000000000000..ba6e0c51134c0c --- /dev/null +++ b/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-6b-chat.yaml @@ -0,0 +1,32 @@ +model: 01-ai/Yi-1.5-6B-Chat +label: + en_US: 01-ai/Yi-1.5-6B-Chat +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 4096 +parameter_rules: + - name: temperature + use_template: temperature + - name: max_tokens + use_template: max_tokens + type: int + default: 512 + min: 1 + max: 4096 + help: + zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: top_p + use_template: top_p + - name: frequency_penalty + use_template: frequency_penalty +pricing: + input: '0.35' + output: '0.35' + unit: '0.000001' + currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-9b-chat.yaml b/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-9b-chat.yaml new file mode 100644 index 00000000000000..64be8998c55d7b --- /dev/null +++ b/api/core/model_runtime/model_providers/siliconflow/llm/yi-1.5-9b-chat.yaml @@ -0,0 +1,32 @@ +model: 01-ai/Yi-1.5-9B-Chat +label: + en_US: 01-ai/Yi-1.5-9B-Chat +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 16384 +parameter_rules: + - name: temperature + use_template: temperature + - name: max_tokens + use_template: max_tokens + type: int + default: 512 + min: 1 + max: 4096 + help: + zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: top_p + use_template: top_p + - name: frequency_penalty + use_template: frequency_penalty +pricing: + input: '0.42' + output: '0.42' + unit: '0.000001' + currency: RMB diff --git a/api/core/model_runtime/model_providers/siliconflow/siliconflow.py b/api/core/model_runtime/model_providers/siliconflow/siliconflow.py new file mode 100644 index 00000000000000..63f76fa8b58b03 --- /dev/null +++ b/api/core/model_runtime/model_providers/siliconflow/siliconflow.py @@ -0,0 +1,29 @@ +import logging + +from core.model_runtime.entities.model_entities import ModelType +from core.model_runtime.errors.validate import CredentialsValidateFailedError +from core.model_runtime.model_providers.__base.model_provider import ModelProvider + +logger = logging.getLogger(__name__) + +class SiliconflowProvider(ModelProvider): + + def validate_provider_credentials(self, credentials: dict) -> None: + """ + Validate provider credentials + if validate failed, raise exception + + :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. + """ + try: + model_instance = self.get_model_instance(ModelType.LLM) + + model_instance.validate_credentials( + model='deepseek-ai/deepseek-v2-chat', + credentials=credentials + ) + except CredentialsValidateFailedError as ex: + raise ex + except Exception as ex: + logger.exception(f'{self.get_provider_schema().provider} credentials validate failed') + raise ex diff --git a/api/core/model_runtime/model_providers/siliconflow/siliconflow.yaml b/api/core/model_runtime/model_providers/siliconflow/siliconflow.yaml new file mode 100644 index 00000000000000..cf44c185d59a21 --- /dev/null +++ b/api/core/model_runtime/model_providers/siliconflow/siliconflow.yaml @@ -0,0 +1,29 @@ +provider: siliconflow +label: + zh_Hans: 硅基流动 + en_US: SiliconFlow +icon_small: + en_US: siliconflow_square.svg +icon_large: + en_US: siliconflow.svg +background: "#ffecff" +help: + title: + en_US: Get your API Key from SiliconFlow + zh_Hans: 从 SiliconFlow 获取 API Key + url: + en_US: https://cloud.siliconflow.cn/keys +supported_model_types: + - llm +configurate_methods: + - predefined-model +provider_credential_schema: + credential_form_schemas: + - variable: api_key + label: + en_US: API Key + type: secret-input + required: true + placeholder: + zh_Hans: 在此输入您的 API Key + en_US: Enter your API Key From 742b08e1d5397ffea2e1b8bd169db66fb30b8dd2 Mon Sep 17 00:00:00 2001 From: smoky Date: Thu, 13 Jun 2024 13:04:51 +0800 Subject: [PATCH 36/70] chore: update question classifier prompt (#5137) Signed-off-by: 0xff-dev --- .../workflow/nodes/question_classifier/template_prompts.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/api/core/workflow/nodes/question_classifier/template_prompts.py b/api/core/workflow/nodes/question_classifier/template_prompts.py index 23bd05a8094b63..e0de148cc2c08c 100644 --- a/api/core/workflow/nodes/question_classifier/template_prompts.py +++ b/api/core/workflow/nodes/question_classifier/template_prompts.py @@ -6,7 +6,7 @@ ### Task Your task is to assign one categories ONLY to the input text and only one category may be assigned returned in the output.Additionally, you need to extract the key words from the text that are related to the classification. ### Format - The input text is in the variable text_field.Categories are specified as a category list with two filed category_id and category_name in the variable categories .Classification instructions may be included to improve the classification accuracy. + The input text is in the variable input_text.Categories are specified as a category list with two filed category_id and category_name in the variable categories .Classification instructions may be included to improve the classification accuracy. ### Constraint DO NOT include anything other than the JSON array in your response. ### Memory @@ -56,7 +56,7 @@ ### Task Your task is to assign one categories ONLY to the input text and only one category may be assigned returned in the output. Additionally, you need to extract the key words from the text that are related to the classification. ### Format -The input text is in the variable text_field. Categories are specified as a category list with two filed category_id and category_name in the variable categories. Classification instructions may be included to improve the classification accuracy. +The input text is in the variable input_text. Categories are specified as a category list with two filed category_id and category_name in the variable categories. Classification instructions may be included to improve the classification accuracy. ### Constraint DO NOT include anything other than the JSON array in your response. ### Example From adc948e87c31c06f53522d5e398d20c98d734735 Mon Sep 17 00:00:00 2001 From: yanghx <30469680+yanghx-git@users.noreply.github.com> Date: Thu, 13 Jun 2024 05:08:30 +0000 Subject: [PATCH 37/70] fix(api/core/model_runtime/model_providers/baichuan,localai): Parse ToolPromptMessage. #4943 (#5138) Co-authored-by: -LAN- --- .../model_providers/baichuan/llm/llm.py | 46 ++++++--- .../model_providers/localai/llm/llm.py | 96 +++++++++++-------- 2 files changed, 88 insertions(+), 54 deletions(-) diff --git a/api/core/model_runtime/model_providers/baichuan/llm/llm.py b/api/core/model_runtime/model_providers/baichuan/llm/llm.py index 4278120093885a..edcd3af4203cfb 100644 --- a/api/core/model_runtime/model_providers/baichuan/llm/llm.py +++ b/api/core/model_runtime/model_providers/baichuan/llm/llm.py @@ -7,6 +7,7 @@ PromptMessage, PromptMessageTool, SystemPromptMessage, + ToolPromptMessage, UserPromptMessage, ) from core.model_runtime.errors.invoke import ( @@ -32,20 +33,21 @@ class BaichuanLarguageModel(LargeLanguageModel): - def _invoke(self, model: str, credentials: dict, - prompt_messages: list[PromptMessage], model_parameters: dict, - tools: list[PromptMessageTool] | None = None, stop: list[str] | None = None, + def _invoke(self, model: str, credentials: dict, + prompt_messages: list[PromptMessage], model_parameters: dict, + tools: list[PromptMessageTool] | None = None, stop: list[str] | None = None, stream: bool = True, user: str | None = None) \ -> LLMResult | Generator: return self._generate(model=model, credentials=credentials, prompt_messages=prompt_messages, - model_parameters=model_parameters, tools=tools, stop=stop, stream=stream, user=user) + model_parameters=model_parameters, tools=tools, stop=stop, stream=stream, user=user) def get_num_tokens(self, model: str, credentials: dict, prompt_messages: list[PromptMessage], tools: list[PromptMessageTool] | None = None) -> int: return self._num_tokens_from_messages(prompt_messages) - def _num_tokens_from_messages(self, messages: list[PromptMessage],) -> int: + def _num_tokens_from_messages(self, messages: list[PromptMessage], ) -> int: """Calculate num tokens for baichuan model""" + def tokens(text: str): return BaichuanTokenizer._get_num_tokens(text) @@ -85,9 +87,20 @@ def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict: elif isinstance(message, SystemPromptMessage): message = cast(SystemPromptMessage, message) message_dict = {"role": "user", "content": message.content} + elif isinstance(message, ToolPromptMessage): + # copy from core/model_runtime/model_providers/anthropic/llm/llm.py + message = cast(ToolPromptMessage, message) + message_dict = { + "role": "user", + "content": [{ + "type": "tool_result", + "tool_use_id": message.tool_call_id, + "content": message.content + }] + } else: raise ValueError(f"Unknown message type {type(message)}") - + return message_dict def validate_credentials(self, model: str, credentials: dict) -> None: @@ -106,13 +119,13 @@ def validate_credentials(self, model: str, credentials: dict) -> None: except Exception as e: raise CredentialsValidateFailedError(f"Invalid API key: {e}") - def _generate(self, model: str, credentials: dict, prompt_messages: list[PromptMessage], - model_parameters: dict, tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, stream: bool = True, user: str | None = None) \ + def _generate(self, model: str, credentials: dict, prompt_messages: list[PromptMessage], + model_parameters: dict, tools: list[PromptMessageTool] | None = None, + stop: list[str] | None = None, stream: bool = True, user: str | None = None) \ -> LLMResult | Generator: if tools is not None and len(tools) > 0: raise InvokeBadRequestError("Baichuan model doesn't support tools") - + instance = BaichuanModel( api_key=credentials['api_key'], secret_key=credentials.get('secret_key', '') @@ -129,11 +142,12 @@ def _generate(self, model: str, credentials: dict, prompt_messages: list[PromptM ] # invoke model - response = instance.generate(model=model, stream=stream, messages=messages, parameters=model_parameters, timeout=60) + response = instance.generate(model=model, stream=stream, messages=messages, parameters=model_parameters, + timeout=60) if stream: return self._handle_chat_generate_stream_response(model, prompt_messages, credentials, response) - + return self._handle_chat_generate_response(model, prompt_messages, credentials, response) def _handle_chat_generate_response(self, model: str, @@ -141,7 +155,9 @@ def _handle_chat_generate_response(self, model: str, credentials: dict, response: BaichuanMessage) -> LLMResult: # convert baichuan message to llm result - usage = self._calc_response_usage(model=model, credentials=credentials, prompt_tokens=response.usage['prompt_tokens'], completion_tokens=response.usage['completion_tokens']) + usage = self._calc_response_usage(model=model, credentials=credentials, + prompt_tokens=response.usage['prompt_tokens'], + completion_tokens=response.usage['completion_tokens']) return LLMResult( model=model, prompt_messages=prompt_messages, @@ -158,7 +174,9 @@ def _handle_chat_generate_stream_response(self, model: str, response: Generator[BaichuanMessage, None, None]) -> Generator: for message in response: if message.usage: - usage = self._calc_response_usage(model=model, credentials=credentials, prompt_tokens=message.usage['prompt_tokens'], completion_tokens=message.usage['completion_tokens']) + usage = self._calc_response_usage(model=model, credentials=credentials, + prompt_tokens=message.usage['prompt_tokens'], + completion_tokens=message.usage['completion_tokens']) yield LLMResultChunk( model=model, prompt_messages=prompt_messages, diff --git a/api/core/model_runtime/model_providers/localai/llm/llm.py b/api/core/model_runtime/model_providers/localai/llm/llm.py index 2a3fbb5c570350..92c14449e44058 100644 --- a/api/core/model_runtime/model_providers/localai/llm/llm.py +++ b/api/core/model_runtime/model_providers/localai/llm/llm.py @@ -27,6 +27,7 @@ PromptMessage, PromptMessageTool, SystemPromptMessage, + ToolPromptMessage, UserPromptMessage, ) from core.model_runtime.entities.model_entities import ( @@ -51,13 +52,13 @@ class LocalAILanguageModel(LargeLanguageModel): - def _invoke(self, model: str, credentials: dict, - prompt_messages: list[PromptMessage], model_parameters: dict, - tools: list[PromptMessageTool] | None = None, stop: list[str] | None = None, + def _invoke(self, model: str, credentials: dict, + prompt_messages: list[PromptMessage], model_parameters: dict, + tools: list[PromptMessageTool] | None = None, stop: list[str] | None = None, stream: bool = True, user: str | None = None) \ -> LLMResult | Generator: return self._generate(model=model, credentials=credentials, prompt_messages=prompt_messages, - model_parameters=model_parameters, tools=tools, stop=stop, stream=stream, user=user) + model_parameters=model_parameters, tools=tools, stop=stop, stream=stream, user=user) def get_num_tokens(self, model: str, credentials: dict, prompt_messages: list[PromptMessage], tools: list[PromptMessageTool] | None = None) -> int: @@ -67,8 +68,9 @@ def get_num_tokens(self, model: str, credentials: dict, prompt_messages: list[Pr def _num_tokens_from_messages(self, messages: list[PromptMessage], tools: list[PromptMessageTool]) -> int: """ Calculate num tokens for baichuan model - LocalAI does not supports + LocalAI does not supports """ + def tokens(text: str): """ We cloud not determine which tokenizer to use, cause the model is customized. @@ -124,7 +126,7 @@ def tokens(text: str): num_tokens += self._num_tokens_for_tools(tools) return num_tokens - + def _num_tokens_for_tools(self, tools: list[PromptMessageTool]) -> int: """ Calculate num tokens for tool calling @@ -133,6 +135,7 @@ def _num_tokens_for_tools(self, tools: list[PromptMessageTool]) -> int: :param tools: tools for tool calling :return: number of tokens """ + def tokens(text: str): return self._get_num_tokens_by_gpt2(text) @@ -193,7 +196,7 @@ def get_customizable_model_schema(self, model: str, credentials: dict) -> AIMode completion_model = LLMMode.COMPLETION.value else: raise ValueError(f"Unknown completion type {credentials['completion_type']}") - + rules = [ ParameterRule( name='temperature', @@ -227,7 +230,7 @@ def get_customizable_model_schema(self, model: str, credentials: dict) -> AIMode ) ] - model_properties = { + model_properties = { ModelPropertyKey.MODE: completion_model, } if completion_model else {} @@ -246,11 +249,11 @@ def get_customizable_model_schema(self, model: str, credentials: dict) -> AIMode return entity - def _generate(self, model: str, credentials: dict, prompt_messages: list[PromptMessage], - model_parameters: dict, tools: list[PromptMessageTool] | None = None, - stop: list[str] | None = None, stream: bool = True, user: str | None = None) \ + def _generate(self, model: str, credentials: dict, prompt_messages: list[PromptMessage], + model_parameters: dict, tools: list[PromptMessageTool] | None = None, + stop: list[str] | None = None, stream: bool = True, user: str | None = None) \ -> LLMResult | Generator: - + kwargs = self._to_client_kwargs(credentials) # init model client client = OpenAI(**kwargs) @@ -271,7 +274,7 @@ def _generate(self, model: str, credentials: dict, prompt_messages: list[PromptM extra_model_kwargs['functions'] = [ helper.dump_model(tool) for tool in tools ] - + if completion_type == 'chat_completion': result = client.chat.completions.create( messages=[self._convert_prompt_message_to_dict(m) for m in prompt_messages], @@ -294,24 +297,24 @@ def _generate(self, model: str, credentials: dict, prompt_messages: list[PromptM if stream: if completion_type == 'completion': return self._handle_completion_generate_stream_response( - model=model, credentials=credentials, response=result, tools=tools, + model=model, credentials=credentials, response=result, tools=tools, prompt_messages=prompt_messages ) return self._handle_chat_generate_stream_response( - model=model, credentials=credentials, response=result, tools=tools, + model=model, credentials=credentials, response=result, tools=tools, prompt_messages=prompt_messages ) - + if completion_type == 'completion': return self._handle_completion_generate_response( - model=model, credentials=credentials, response=result, + model=model, credentials=credentials, response=result, prompt_messages=prompt_messages ) return self._handle_chat_generate_response( - model=model, credentials=credentials, response=result, tools=tools, + model=model, credentials=credentials, response=result, tools=tools, prompt_messages=prompt_messages ) - + def _to_client_kwargs(self, credentials: dict) -> dict: """ Convert invoke kwargs to client kwargs @@ -321,7 +324,7 @@ def _to_client_kwargs(self, credentials: dict) -> dict: """ if not credentials['server_url'].endswith('/'): credentials['server_url'] += '/' - + client_kwargs = { "timeout": Timeout(315.0, read=300.0, write=10.0, connect=5.0), "api_key": "1", @@ -351,9 +354,20 @@ def _convert_prompt_message_to_dict(self, message: PromptMessage) -> dict: elif isinstance(message, SystemPromptMessage): message = cast(SystemPromptMessage, message) message_dict = {"role": "system", "content": message.content} + elif isinstance(message, ToolPromptMessage): + # copy from core/model_runtime/model_providers/anthropic/llm/llm.py + message = cast(ToolPromptMessage, message) + message_dict = { + "role": "user", + "content": [{ + "type": "tool_result", + "tool_use_id": message.tool_call_id, + "content": message.content + }] + } else: raise ValueError(f"Unknown message type {type(message)}") - + return message_dict def _convert_prompt_message_to_completion_prompts(self, messages: list[PromptMessage]) -> str: @@ -373,14 +387,14 @@ def _convert_prompt_message_to_completion_prompts(self, messages: list[PromptMes prompts += f'{message.content}\n' else: raise ValueError(f"Unknown message type {type(message)}") - + return prompts def _handle_completion_generate_response(self, model: str, - prompt_messages: list[PromptMessage], - credentials: dict, - response: Completion, - ) -> LLMResult: + prompt_messages: list[PromptMessage], + credentials: dict, + response: Completion, + ) -> LLMResult: """ Handle llm chat response @@ -393,7 +407,7 @@ def _handle_completion_generate_response(self, model: str, """ if len(response.choices) == 0: raise InvokeServerUnavailableError("Empty response") - + assistant_message = response.choices[0].text # transform assistant message to prompt message @@ -407,7 +421,8 @@ def _handle_completion_generate_response(self, model: str, ) completion_tokens = self._num_tokens_from_messages(messages=[assistant_prompt_message], tools=[]) - usage = self._calc_response_usage(model=model, credentials=credentials, prompt_tokens=prompt_tokens, completion_tokens=completion_tokens) + usage = self._calc_response_usage(model=model, credentials=credentials, prompt_tokens=prompt_tokens, + completion_tokens=completion_tokens) response = LLMResult( model=model, @@ -436,7 +451,7 @@ def _handle_chat_generate_response(self, model: str, """ if len(response.choices) == 0: raise InvokeServerUnavailableError("Empty response") - + assistant_message = response.choices[0].message # convert function call to tool call @@ -452,7 +467,8 @@ def _handle_chat_generate_response(self, model: str, prompt_tokens = self._num_tokens_from_messages(messages=prompt_messages, tools=tools) completion_tokens = self._num_tokens_from_messages(messages=[assistant_prompt_message], tools=tools) - usage = self._calc_response_usage(model=model, credentials=credentials, prompt_tokens=prompt_tokens, completion_tokens=completion_tokens) + usage = self._calc_response_usage(model=model, credentials=credentials, prompt_tokens=prompt_tokens, + completion_tokens=completion_tokens) response = LLMResult( model=model, @@ -465,10 +481,10 @@ def _handle_chat_generate_response(self, model: str, return response def _handle_completion_generate_stream_response(self, model: str, - prompt_messages: list[PromptMessage], - credentials: dict, - response: Stream[Completion], - tools: list[PromptMessageTool]) -> Generator: + prompt_messages: list[PromptMessage], + credentials: dict, + response: Stream[Completion], + tools: list[PromptMessageTool]) -> Generator: full_response = '' for chunk in response: @@ -496,9 +512,9 @@ def _handle_completion_generate_stream_response(self, model: str, completion_tokens = self._num_tokens_from_messages(messages=[temp_assistant_prompt_message], tools=[]) - usage = self._calc_response_usage(model=model, credentials=credentials, + usage = self._calc_response_usage(model=model, credentials=credentials, prompt_tokens=prompt_tokens, completion_tokens=completion_tokens) - + yield LLMResultChunk( model=model, prompt_messages=prompt_messages, @@ -538,7 +554,7 @@ def _handle_chat_generate_stream_response(self, model: str, if delta.finish_reason is None and (delta.delta.content is None or delta.delta.content == ''): continue - + # check if there is a tool call in the response function_calls = None if delta.delta.function_call: @@ -562,9 +578,9 @@ def _handle_chat_generate_stream_response(self, model: str, prompt_tokens = self._num_tokens_from_messages(messages=prompt_messages, tools=tools) completion_tokens = self._num_tokens_from_messages(messages=[temp_assistant_prompt_message], tools=[]) - usage = self._calc_response_usage(model=model, credentials=credentials, + usage = self._calc_response_usage(model=model, credentials=credentials, prompt_tokens=prompt_tokens, completion_tokens=completion_tokens) - + yield LLMResultChunk( model=model, prompt_messages=prompt_messages, @@ -613,7 +629,7 @@ def _extract_response_tool_calls(self, ) tool_calls.append(tool_call) - return tool_calls + return tool_calls @property def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: From a40f68cf94412f5918fa86ebc2fbd8b1cafc6f80 Mon Sep 17 00:00:00 2001 From: Ikko Eltociear Ashimine Date: Thu, 13 Jun 2024 16:35:14 +0900 Subject: [PATCH 38/70] chore: update qdrant_vector.py (#5128) --- api/core/rag/datasource/vdb/qdrant/qdrant_vector.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/api/core/rag/datasource/vdb/qdrant/qdrant_vector.py b/api/core/rag/datasource/vdb/qdrant/qdrant_vector.py index 6a77c135fff70a..49c0e2c985a4e4 100644 --- a/api/core/rag/datasource/vdb/qdrant/qdrant_vector.py +++ b/api/core/rag/datasource/vdb/qdrant/qdrant_vector.py @@ -128,7 +128,7 @@ def create_collection(self, collection_name: str, vector_size: int): # create doc_id payload index self._client.create_payload_index(collection_name, Field.DOC_ID.value, field_schema=PayloadSchemaType.KEYWORD) - # creat full text index + # create full text index text_index_params = TextIndexParams( type=TextIndexType.TEXT, tokenizer=TokenizerType.MULTILINGUAL, From 790543131ad529ddb7a9c0889109eae472b8e4ed Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E5=91=86=E8=90=8C=E9=97=B7=E6=B2=B9=E7=93=B6?= <253605712@qq.com> Date: Thu, 13 Jun 2024 16:30:47 +0800 Subject: [PATCH 39/70] chore:add some new api version for azure openai (#5142) --- .../model_providers/azure_openai/azure_openai.yaml | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml b/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml index b9f33a8ff29d0f..7e57c3ed2e2819 100644 --- a/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml +++ b/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml @@ -53,6 +53,15 @@ model_credential_schema: type: select required: true options: + - label: + en_US: 2024-05-01-preview + value: 2024-05-01-preview + - label: + en_US: 2024-04-01-preview + value: 2024-04-01-preview + - label: + en_US: 2024-03-01-preview + value: 2024-03-01-preview - label: en_US: 2024-02-15-preview value: 2024-02-15-preview From 8210637bc56cecf6c6e2d9172342eb038812203c Mon Sep 17 00:00:00 2001 From: sino Date: Thu, 13 Jun 2024 16:31:18 +0800 Subject: [PATCH 40/70] feat: support jina-clip-v1 embedding model (#5146) --- .../jina/text_embedding/jina-clip-v1.yaml | 9 +++++++ .../jina/text_embedding/text_embedding.py | 26 +++++++++++++------ 2 files changed, 27 insertions(+), 8 deletions(-) create mode 100644 api/core/model_runtime/model_providers/jina/text_embedding/jina-clip-v1.yaml diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/jina-clip-v1.yaml b/api/core/model_runtime/model_providers/jina/text_embedding/jina-clip-v1.yaml new file mode 100644 index 00000000000000..c06bfd7ebeb6cd --- /dev/null +++ b/api/core/model_runtime/model_providers/jina/text_embedding/jina-clip-v1.yaml @@ -0,0 +1,9 @@ +model: jina-clip-v1 +model_type: text-embedding +model_properties: + context_size: 8192 + max_chunks: 2048 +pricing: + input: '0.001' + unit: '0.001' + currency: USD diff --git a/api/core/model_runtime/model_providers/jina/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/jina/text_embedding/text_embedding.py index 74a1aabf7a64d2..23203491e656fe 100644 --- a/api/core/model_runtime/model_providers/jina/text_embedding/text_embedding.py +++ b/api/core/model_runtime/model_providers/jina/text_embedding/text_embedding.py @@ -52,16 +52,21 @@ def _invoke(self, model: str, credentials: dict, 'Content-Type': 'application/json' } + def transform_jina_input_text(model, text): + if model == 'jina-clip-v1': + return {"text": text} + return text + data = { 'model': model, - 'input': texts + 'input': [transform_jina_input_text(model, text) for text in texts] } try: response = post(url, headers=headers, data=dumps(data)) except Exception as e: raise InvokeConnectionError(str(e)) - + if response.status_code != 200: try: resp = response.json() @@ -75,16 +80,19 @@ def _invoke(self, model: str, credentials: dict, else: raise InvokeBadRequestError(msg) except JSONDecodeError as e: - raise InvokeServerUnavailableError(f"Failed to convert response to json: {e} with text: {response.text}") + raise InvokeServerUnavailableError( + f"Failed to convert response to json: {e} with text: {response.text}") try: resp = response.json() embeddings = resp['data'] usage = resp['usage'] except Exception as e: - raise InvokeServerUnavailableError(f"Failed to convert response to json: {e} with text: {response.text}") + raise InvokeServerUnavailableError( + f"Failed to convert response to json: {e} with text: {response.text}") - usage = self._calc_response_usage(model=model, credentials=credentials, tokens=usage['total_tokens']) + usage = self._calc_response_usage( + model=model, credentials=credentials, tokens=usage['total_tokens']) result = TextEmbeddingResult( model=model, @@ -122,7 +130,8 @@ def validate_credentials(self, model: str, credentials: dict) -> None: try: self._invoke(model=model, credentials=credentials, texts=['ping']) except Exception as e: - raise CredentialsValidateFailedError(f'Credentials validation failed: {e}') + raise CredentialsValidateFailedError( + f'Credentials validation failed: {e}') @property def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: @@ -144,7 +153,7 @@ def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]] InvokeBadRequestError ] } - + def _calc_response_usage(self, model: str, credentials: dict, tokens: int) -> EmbeddingUsage: """ Calculate response usage @@ -185,7 +194,8 @@ def get_customizable_model_schema(self, model: str, credentials: dict) -> AIMode model_type=ModelType.TEXT_EMBEDDING, fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, model_properties={ - ModelPropertyKey.CONTEXT_SIZE: int(credentials.get('context_size')) + ModelPropertyKey.CONTEXT_SIZE: int( + credentials.get('context_size')) } ) From 015c26d303c3b3933dabc91d875bd91689c3879a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=9D=9E=E6=B3=95=E6=93=8D=E4=BD=9C?= Date: Thu, 13 Jun 2024 16:32:42 +0800 Subject: [PATCH 41/70] fix: style misalignment and inconsistency (#5149) --- .../config/agent/agent-tools/setting-built-in-tool.tsx | 4 ++-- .../account-setting/model-provider-page/model-modal/Form.tsx | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/web/app/components/app/configuration/config/agent/agent-tools/setting-built-in-tool.tsx b/web/app/components/app/configuration/config/agent/agent-tools/setting-built-in-tool.tsx index b35217732fcad1..a348e4425612b2 100644 --- a/web/app/components/app/configuration/config/agent/agent-tools/setting-built-in-tool.tsx +++ b/web/app/components/app/configuration/config/agent/agent-tools/setting-built-in-tool.tsx @@ -152,11 +152,11 @@ const SettingBuiltInTool: FC = ({ isShow onHide={onHide} title={( -
+
{typeof collection.icon === 'string' ? (
= ({
- {label[language] || label.en_US} + {label[language] || label.en_US} {tooltipContent}
Date: Thu, 13 Jun 2024 04:16:59 -0500 Subject: [PATCH 42/70] fix: front end error when same tool is called twice at once (#5068) --- web/app/components/app/chat/thought/index.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/web/app/components/app/chat/thought/index.tsx b/web/app/components/app/chat/thought/index.tsx index 462cf87fbc20fe..e87d484ed4abed 100644 --- a/web/app/components/app/chat/thought/index.tsx +++ b/web/app/components/app/chat/thought/index.tsx @@ -47,7 +47,7 @@ const Thought: FC = ({ const toolThoughtList = toolNames.map((toolName, index) => { return { name: toolName, - label: thought.tool_labels?.[toolName][language] ?? toolName, + label: thought.tool_labels?.toolName?.language ?? toolName, input: getValue(thought.tool_input, isValueArray, index), output: getValue(thought.observation, isValueArray, index), isFinished, From e61f5d029ae7e920ebb16e81f2338a815041adda Mon Sep 17 00:00:00 2001 From: kurokobo Date: Thu, 13 Jun 2024 18:36:01 +0900 Subject: [PATCH 43/70] chore(docs): fix minor small typos (#5124) --- api/core/model_runtime/docs/en_US/interfaces.md | 2 +- api/core/model_runtime/docs/zh_Hans/interfaces.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/api/core/model_runtime/docs/en_US/interfaces.md b/api/core/model_runtime/docs/en_US/interfaces.md index dc70bfad17ea22..1fb20e5b045716 100644 --- a/api/core/model_runtime/docs/en_US/interfaces.md +++ b/api/core/model_runtime/docs/en_US/interfaces.md @@ -336,7 +336,7 @@ Inherit the `__base.text2speech_model.Text2SpeechModel` base class and implement - Invoke Invocation ```python - def _invoke(elf, model: str, credentials: dict, content_text: str, streaming: bool, user: Optional[str] = None): + def _invoke(self, model: str, credentials: dict, content_text: str, streaming: bool, user: Optional[str] = None): """ Invoke large language model diff --git a/api/core/model_runtime/docs/zh_Hans/interfaces.md b/api/core/model_runtime/docs/zh_Hans/interfaces.md index 743e575dedd9de..78086cc328a10f 100644 --- a/api/core/model_runtime/docs/zh_Hans/interfaces.md +++ b/api/core/model_runtime/docs/zh_Hans/interfaces.md @@ -376,7 +376,7 @@ class XinferenceProvider(Provider): - Invoke 调用 ```python - def _invoke(elf, model: str, credentials: dict, content_text: str, streaming: bool, user: Optional[str] = None): + def _invoke(self, model: str, credentials: dict, content_text: str, streaming: bool, user: Optional[str] = None): """ Invoke large language model From db976a1f7438954680ef285f3ceb42469a9a6f55 Mon Sep 17 00:00:00 2001 From: Kazuki Hasegawa Date: Thu, 13 Jun 2024 18:36:14 +0900 Subject: [PATCH 44/70] Upgrade boto3 library to support EKS Pod Identity. (#5064) --- api/requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/api/requirements.txt b/api/requirements.txt index 36a08a287a3433..f00a6f70797ec0 100644 --- a/api/requirements.txt +++ b/api/requirements.txt @@ -15,7 +15,7 @@ psycopg2-binary~=2.9.6 pycryptodome==3.19.1 python-dotenv==1.0.0 Authlib==1.2.0 -boto3==1.28.17 +boto3==1.34.123 tenacity==8.2.2 cachetools~=5.3.0 weaviate-client~=3.21.0 From 3f18369ad24ad7d6101015afddeb0be41ef4edae Mon Sep 17 00:00:00 2001 From: Kazuki Takamatsu Date: Thu, 13 Jun 2024 18:36:34 +0900 Subject: [PATCH 45/70] Fix: google storage init with sa and download (#5054) --- api/extensions/storage/google_storage.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/api/extensions/storage/google_storage.py b/api/extensions/storage/google_storage.py index 97004fddab20f6..ef6cd69039787c 100644 --- a/api/extensions/storage/google_storage.py +++ b/api/extensions/storage/google_storage.py @@ -1,5 +1,6 @@ import base64 import io +import json from collections.abc import Generator from contextlib import closing @@ -20,7 +21,9 @@ def __init__(self, app: Flask): # if service_account_json_str is empty, use Application Default Credentials if service_account_json_str: service_account_json = base64.b64decode(service_account_json_str).decode('utf-8') - self.client = GoogleCloudStorage.Client.from_service_account_info(service_account_json) + # convert str to object + service_account_obj = json.loads(service_account_json) + self.client = GoogleCloudStorage.Client.from_service_account_info(service_account_obj) else: self.client = GoogleCloudStorage.Client() @@ -48,9 +51,7 @@ def generate(filename: str = filename) -> Generator: def download(self, filename, target_filepath): bucket = self.client.get_bucket(self.bucket_name) blob = bucket.get_blob(filename) - with open(target_filepath, "wb") as my_blob: - blob_data = blob.download_blob() - blob_data.readinto(my_blob) + blob.download_to_filename(target_filepath) def exists(self, filename): bucket = self.client.get_bucket(self.bucket_name) From cdc08a434f8e82809fa33ae4ebe8541a7ffc16a8 Mon Sep 17 00:00:00 2001 From: Bowen Liang Date: Thu, 13 Jun 2024 18:02:18 +0800 Subject: [PATCH 46/70] feat: support Chroma vector store (#5015) --- .github/workflows/api-tests.yml | 8 +- .gitignore | 1 + api/.env.example | 8 + api/config.py | 8 + api/controllers/console/datasets/datasets.py | 4 +- .../rag/datasource/vdb/chroma/__init__.py | 0 .../datasource/vdb/chroma/chroma_vector.py | 147 ++ api/core/rag/datasource/vdb/vector_factory.py | 3 + api/core/rag/datasource/vdb/vector_type.py | 1 + api/poetry.lock | 1249 ++++++++++++++++- api/pyproject.toml | 2 +- api/requirements.txt | 4 +- .../integration_tests/vdb/chroma/__init__.py | 0 .../vdb/chroma/test_chroma.py | 33 + docker/docker-compose.chroma.yaml | 14 + docker/docker-compose.yaml | 14 + 16 files changed, 1483 insertions(+), 13 deletions(-) create mode 100644 api/core/rag/datasource/vdb/chroma/__init__.py create mode 100644 api/core/rag/datasource/vdb/chroma/chroma_vector.py create mode 100644 api/tests/integration_tests/vdb/chroma/__init__.py create mode 100644 api/tests/integration_tests/vdb/chroma/test_chroma.py create mode 100644 docker/docker-compose.chroma.yaml diff --git a/.github/workflows/api-tests.yml b/.github/workflows/api-tests.yml index e2ef85431d0a11..cff98db7e42b9d 100644 --- a/.github/workflows/api-tests.yml +++ b/.github/workflows/api-tests.yml @@ -58,7 +58,7 @@ jobs: - name: Run Workflow run: dev/pytest/pytest_workflow.sh - - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS) + - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma) uses: hoverkraft-tech/compose-action@v2.0.0 with: compose-file: | @@ -67,6 +67,7 @@ jobs: docker/docker-compose.milvus.yaml docker/docker-compose.pgvecto-rs.yaml docker/docker-compose.pgvector.yaml + docker/docker-compose.chroma.yaml services: | weaviate qdrant @@ -75,6 +76,7 @@ jobs: milvus-standalone pgvecto-rs pgvector + chroma - name: Test Vector Stores run: dev/pytest/pytest_vdb.sh @@ -131,7 +133,7 @@ jobs: - name: Run Workflow run: poetry run -C api bash dev/pytest/pytest_workflow.sh - - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS) + - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma) uses: hoverkraft-tech/compose-action@v2.0.0 with: compose-file: | @@ -140,6 +142,7 @@ jobs: docker/docker-compose.milvus.yaml docker/docker-compose.pgvecto-rs.yaml docker/docker-compose.pgvector.yaml + docker/docker-compose.chroma.yaml services: | weaviate qdrant @@ -148,6 +151,7 @@ jobs: milvus-standalone pgvecto-rs pgvector + chroma - name: Test Vector Stores run: poetry run -C api bash dev/pytest/pytest_vdb.sh diff --git a/.gitignore b/.gitignore index a51465efbc7fa6..35507f4783b6c2 100644 --- a/.gitignore +++ b/.gitignore @@ -149,6 +149,7 @@ docker/volumes/qdrant/* docker/volumes/etcd/* docker/volumes/minio/* docker/volumes/milvus/* +docker/volumes/chroma/* sdks/python-client/build sdks/python-client/dist diff --git a/api/.env.example b/api/.env.example index f112721a7e20cd..bee62cfe0bc19d 100644 --- a/api/.env.example +++ b/api/.env.example @@ -119,6 +119,14 @@ TIDB_VECTOR_USER=xxx.root TIDB_VECTOR_PASSWORD=xxxxxx TIDB_VECTOR_DATABASE=dify +# Chroma configuration +CHROMA_HOST=127.0.0.1 +CHROMA_PORT=8000 +CHROMA_TENANT=default_tenant +CHROMA_DATABASE=default_database +CHROMA_AUTH_PROVIDER=chromadb.auth.token_authn.TokenAuthenticationServerProvider +CHROMA_AUTH_CREDENTIALS=difyai123456 + # Upload configuration UPLOAD_FILE_SIZE_LIMIT=15 UPLOAD_FILE_BATCH_LIMIT=5 diff --git a/api/config.py b/api/config.py index 286b3336a283bf..bb9f85781e527b 100644 --- a/api/config.py +++ b/api/config.py @@ -306,6 +306,14 @@ def __init__(self): self.TIDB_VECTOR_PASSWORD = get_env('TIDB_VECTOR_PASSWORD') self.TIDB_VECTOR_DATABASE = get_env('TIDB_VECTOR_DATABASE') + # chroma settings + self.CHROMA_HOST = get_env('CHROMA_HOST') + self.CHROMA_PORT = get_env('CHROMA_PORT') + self.CHROMA_TENANT = get_env('CHROMA_TENANT') + self.CHROMA_DATABASE = get_env('CHROMA_DATABASE') + self.CHROMA_AUTH_PROVIDER = get_env('CHROMA_AUTH_PROVIDER') + self.CHROMA_AUTH_CREDENTIALS = get_env('CHROMA_AUTH_CREDENTIALS') + # ------------------------ # Mail Configurations. # ------------------------ diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py index 49e50caf70fbe8..6cbe454d37e755 100644 --- a/api/controllers/console/datasets/datasets.py +++ b/api/controllers/console/datasets/datasets.py @@ -479,7 +479,7 @@ def get(self): vector_type = current_app.config['VECTOR_STORE'] match vector_type: - case VectorType.MILVUS | VectorType.RELYT | VectorType.PGVECTOR | VectorType.TIDB_VECTOR: + case VectorType.MILVUS | VectorType.RELYT | VectorType.PGVECTOR | VectorType.TIDB_VECTOR | VectorType.CHROMA: return { 'retrieval_method': [ 'semantic_search' @@ -501,7 +501,7 @@ class DatasetRetrievalSettingMockApi(Resource): @account_initialization_required def get(self, vector_type): match vector_type: - case VectorType.MILVUS | VectorType.RELYT | VectorType.PGVECTOR | VectorType.TIDB_VECTOR: + case VectorType.MILVUS | VectorType.RELYT | VectorType.PGVECTOR | VectorType.TIDB_VECTOR | VectorType.CHROMA: return { 'retrieval_method': [ 'semantic_search' diff --git a/api/core/rag/datasource/vdb/chroma/__init__.py b/api/core/rag/datasource/vdb/chroma/__init__.py new file mode 100644 index 00000000000000..e69de29bb2d1d6 diff --git a/api/core/rag/datasource/vdb/chroma/chroma_vector.py b/api/core/rag/datasource/vdb/chroma/chroma_vector.py new file mode 100644 index 00000000000000..2d4e1975ea3665 --- /dev/null +++ b/api/core/rag/datasource/vdb/chroma/chroma_vector.py @@ -0,0 +1,147 @@ +import json +from typing import Any, Optional + +import chromadb +from chromadb import QueryResult, Settings +from flask import current_app +from pydantic import BaseModel + +from core.rag.datasource.entity.embedding import Embeddings +from core.rag.datasource.vdb.vector_base import BaseVector +from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory +from core.rag.datasource.vdb.vector_type import VectorType +from core.rag.models.document import Document +from extensions.ext_redis import redis_client +from models.dataset import Dataset + + +class ChromaConfig(BaseModel): + host: str + port: int + tenant: str + database: str + auth_provider: Optional[str] = None + auth_credentials: Optional[str] = None + + def to_chroma_params(self): + settings = Settings( + # auth + chroma_client_auth_provider=self.auth_provider, + chroma_client_auth_credentials=self.auth_credentials + ) + + return { + 'host': self.host, + 'port': self.port, + 'ssl': False, + 'tenant': self.tenant, + 'database': self.database, + 'settings': settings, + } + + +class ChromaVector(BaseVector): + + def __init__(self, collection_name: str, config: ChromaConfig): + super().__init__(collection_name) + self._client_config = config + self._client = chromadb.HttpClient(**self._client_config.to_chroma_params()) + + def get_type(self) -> str: + return VectorType.CHROMA + + def create(self, texts: list[Document], embeddings: list[list[float]], **kwargs): + if texts: + # create collection + self.create_collection(self._collection_name) + + self.add_texts(texts, embeddings, **kwargs) + + def create_collection(self, collection_name: str): + lock_name = 'vector_indexing_lock_{}'.format(collection_name) + with redis_client.lock(lock_name, timeout=20): + collection_exist_cache_key = 'vector_indexing_{}'.format(self._collection_name) + if redis_client.get(collection_exist_cache_key): + return + self._client.get_or_create_collection(collection_name) + redis_client.set(collection_exist_cache_key, 1, ex=3600) + + def add_texts(self, documents: list[Document], embeddings: list[list[float]], **kwargs): + uuids = self._get_uuids(documents) + texts = [d.page_content for d in documents] + metadatas = [d.metadata for d in documents] + + collection = self._client.get_or_create_collection(self._collection_name) + collection.upsert(ids=uuids, documents=texts, embeddings=embeddings, metadatas=metadatas) + + def delete_by_metadata_field(self, key: str, value: str): + collection = self._client.get_or_create_collection(self._collection_name) + collection.delete(where={key: {'$eq': value}}) + + def delete(self): + self._client.delete_collection(self._collection_name) + + def delete_by_ids(self, ids: list[str]) -> None: + collection = self._client.get_or_create_collection(self._collection_name) + collection.delete(ids=ids) + + def text_exists(self, id: str) -> bool: + collection = self._client.get_or_create_collection(self._collection_name) + response = collection.get(ids=[id]) + return len(response) > 0 + + def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]: + collection = self._client.get_or_create_collection(self._collection_name) + results: QueryResult = collection.query(query_embeddings=query_vector, n_results=kwargs.get("top_k", 4)) + score_threshold = kwargs.get("score_threshold", .0) if kwargs.get('score_threshold', .0) else 0.0 + + ids: list[str] = results['ids'][0] + documents: list[str] = results['documents'][0] + metadatas: dict[str, Any] = results['metadatas'][0] + distances: list[float] = results['distances'][0] + + docs = [] + for index in range(len(ids)): + distance = distances[index] + metadata = metadatas[index] + if distance >= score_threshold: + metadata['score'] = distance + doc = Document( + page_content=documents[index], + metadata=metadata, + ) + docs.append(doc) + + return docs + + def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]: + # chroma does not support BM25 full text searching + return [] + + +class ChromaVectorFactory(AbstractVectorFactory): + def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> BaseVector: + if dataset.index_struct_dict: + class_prefix: str = dataset.index_struct_dict['vector_store']['class_prefix'] + collection_name = class_prefix.lower() + else: + dataset_id = dataset.id + collection_name = Dataset.gen_collection_name_by_id(dataset_id).lower() + index_struct_dict = { + "type": VectorType.CHROMA, + "vector_store": {"class_prefix": collection_name} + } + dataset.index_struct = json.dumps(index_struct_dict) + + config = current_app.config + return ChromaVector( + collection_name=collection_name, + config=ChromaConfig( + host=config.get('CHROMA_HOST'), + port=int(config.get('CHROMA_PORT')), + tenant=config.get('CHROMA_TENANT', chromadb.DEFAULT_TENANT), + database=config.get('CHROMA_DATABASE', chromadb.DEFAULT_DATABASE), + auth_provider=config.get('CHROMA_AUTH_PROVIDER'), + auth_credentials=config.get('CHROMA_AUTH_CREDENTIALS'), + ), + ) diff --git a/api/core/rag/datasource/vdb/vector_factory.py b/api/core/rag/datasource/vdb/vector_factory.py index 852dc51a3a26e6..d5c803a14a9f2f 100644 --- a/api/core/rag/datasource/vdb/vector_factory.py +++ b/api/core/rag/datasource/vdb/vector_factory.py @@ -52,6 +52,9 @@ def _init_vector(self) -> BaseVector: @staticmethod def get_vector_factory(vector_type: str) -> type[AbstractVectorFactory]: match vector_type: + case VectorType.CHROMA: + from core.rag.datasource.vdb.chroma.chroma_vector import ChromaVectorFactory + return ChromaVectorFactory case VectorType.MILVUS: from core.rag.datasource.vdb.milvus.milvus_vector import MilvusVectorFactory return MilvusVectorFactory diff --git a/api/core/rag/datasource/vdb/vector_type.py b/api/core/rag/datasource/vdb/vector_type.py index f2e9b9b8d44618..76f2f4ae46b454 100644 --- a/api/core/rag/datasource/vdb/vector_type.py +++ b/api/core/rag/datasource/vdb/vector_type.py @@ -2,6 +2,7 @@ class VectorType(str, Enum): + CHROMA = 'chroma' MILVUS = 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"pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] + [[package]] name = "zope-event" version = "5.0" @@ -7551,4 +8788,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = "^3.10" -content-hash = "014b13a1202e835c1bb52f033d389eb7076d4632ec4e4b4b78f976d33663d6d5" +content-hash = "509e7821d929dd859378b5b45285469dc6d6b358b2175df30188492fb8cea485" diff --git a/api/pyproject.toml b/api/pyproject.toml index bd4984207371dc..d9d785dda79749 100644 --- a/api/pyproject.toml +++ b/api/pyproject.toml @@ -107,7 +107,6 @@ pycryptodome = "3.19.1" python-dotenv = "1.0.0" authlib = "1.2.0" boto3 = "1.28.17" -tenacity = "8.2.2" cachetools = "~5.3.0" weaviate-client = "~3.21.0" mailchimp-transactional = "~1.0.50" @@ -179,6 +178,7 @@ google-cloud-aiplatform = "1.49.0" vanna = {version = "0.5.5", extras = ["postgres", "mysql", "clickhouse", "duckdb"]} kaleido = "0.2.1" tencentcloud-sdk-python-hunyuan = "~3.0.1158" +chromadb = "~0.5.0" [tool.poetry.group.dev] optional = true diff --git a/api/requirements.txt b/api/requirements.txt index f00a6f70797ec0..f17f56aca39356 100644 --- a/api/requirements.txt +++ b/api/requirements.txt @@ -16,7 +16,6 @@ pycryptodome==3.19.1 python-dotenv==1.0.0 Authlib==1.2.0 boto3==1.34.123 -tenacity==8.2.2 cachetools~=5.3.0 weaviate-client~=3.21.0 mailchimp-transactional~=1.0.50 @@ -85,4 +84,5 @@ pymysql==1.1.1 tidb-vector==0.0.9 google-cloud-aiplatform==1.49.0 vanna[postgres,mysql,clickhouse,duckdb]==0.5.5 -tencentcloud-sdk-python-hunyuan~=3.0.1158 \ No newline at end of file +tencentcloud-sdk-python-hunyuan~=3.0.1158 +chromadb~=0.5.0 diff --git a/api/tests/integration_tests/vdb/chroma/__init__.py b/api/tests/integration_tests/vdb/chroma/__init__.py new file mode 100644 index 00000000000000..e69de29bb2d1d6 diff --git a/api/tests/integration_tests/vdb/chroma/test_chroma.py b/api/tests/integration_tests/vdb/chroma/test_chroma.py new file mode 100644 index 00000000000000..033f9a54da678c --- /dev/null +++ b/api/tests/integration_tests/vdb/chroma/test_chroma.py @@ -0,0 +1,33 @@ +import chromadb + +from core.rag.datasource.vdb.chroma.chroma_vector import ChromaConfig, ChromaVector +from tests.integration_tests.vdb.test_vector_store import ( + AbstractVectorTest, + get_example_text, + setup_mock_redis, +) + + +class ChromaVectorTest(AbstractVectorTest): + def __init__(self): + super().__init__() + self.vector = ChromaVector( + collection_name=self.collection_name, + config=ChromaConfig( + host='localhost', + port=8000, + tenant=chromadb.DEFAULT_TENANT, + database=chromadb.DEFAULT_DATABASE, + auth_provider="chromadb.auth.token_authn.TokenAuthClientProvider", + auth_credentials="difyai123456", + ) + ) + + def search_by_full_text(self): + # chroma dos not support full text searching + hits_by_full_text = self.vector.search_by_full_text(query=get_example_text()) + assert len(hits_by_full_text) == 0 + + +def test_chroma_vector(setup_mock_redis): + ChromaVectorTest().run_all_tests() diff --git a/docker/docker-compose.chroma.yaml b/docker/docker-compose.chroma.yaml new file mode 100644 index 00000000000000..6ca521b4878f4f --- /dev/null +++ b/docker/docker-compose.chroma.yaml @@ -0,0 +1,14 @@ +version: '3' +services: + # Chroma vector store. + chroma: + image: ghcr.io/chroma-core/chroma:0.5.0 + restart: always + volumes: + - ./volumes/chroma:/chroma/chroma + environment: + CHROMA_SERVER_AUTHN_CREDENTIALS: difyai123456 + CHROMA_SERVER_AUTHN_PROVIDER: chromadb.auth.token_authn.TokenAuthenticationServerProvider + IS_PERSISTENT: TRUE + ports: + - "8000:8000" diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml index c3b5430514c744..5c67406bcb5eeb 100644 --- a/docker/docker-compose.yaml +++ b/docker/docker-compose.yaml @@ -140,6 +140,13 @@ services: TIDB_VECTOR_USER: xxx.root TIDB_VECTOR_PASSWORD: xxxxxx TIDB_VECTOR_DATABASE: dify + # Chroma configuration + CHROMA_HOST: 127.0.0.1 + CHROMA_PORT: 8000 + CHROMA_TENANT: default_tenant + CHROMA_DATABASE: default_database + CHROMA_AUTH_PROVIDER: chromadb.auth.token_authn.TokenAuthClientProvider + CHROMA_AUTH_CREDENTIALS: xxxxxx # Mail configuration, support: resend, smtp MAIL_TYPE: '' # default send from email address, if not specified @@ -301,6 +308,13 @@ services: TIDB_VECTOR_USER: xxx.root TIDB_VECTOR_PASSWORD: xxxxxx TIDB_VECTOR_DATABASE: dify + # Chroma configuration + CHROMA_HOST: 127.0.0.1 + CHROMA_PORT: 8000 + CHROMA_TENANT: default_tenant + CHROMA_DATABASE: default_database + CHROMA_AUTH_PROVIDER: chromadb.auth.token_authn.TokenAuthClientProvider + CHROMA_AUTH_CREDENTIALS: xxxxxx # Notion import configuration, support public and internal NOTION_INTEGRATION_TYPE: public NOTION_CLIENT_SECRET: you-client-secret From 0cccf9c67d2448216aa6b446943be4458f958699 Mon Sep 17 00:00:00 2001 From: Yeuoly <45712896+Yeuoly@users.noreply.github.com> Date: Thu, 13 Jun 2024 23:08:05 +0800 Subject: [PATCH 47/70] feat: introduce APP_MAX_EXECUTION_TIME (#5167) --- api/.env.example | 3 +++ api/config.py | 2 ++ api/core/app/apps/base_app_queue_manager.py | 5 +++-- 3 files changed, 8 insertions(+), 2 deletions(-) diff --git a/api/.env.example b/api/.env.example index bee62cfe0bc19d..571f5b168ea5a7 100644 --- a/api/.env.example +++ b/api/.env.example @@ -203,3 +203,6 @@ INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=1000 WORKFLOW_MAX_EXECUTION_STEPS=500 WORKFLOW_MAX_EXECUTION_TIME=1200 WORKFLOW_CALL_MAX_DEPTH=5 + +# App configuration +APP_MAX_EXECUTION_TIME=1200 \ No newline at end of file diff --git a/api/config.py b/api/config.py index bb9f85781e527b..53cc6ce393b6ab 100644 --- a/api/config.py +++ b/api/config.py @@ -85,6 +85,7 @@ 'WORKFLOW_MAX_EXECUTION_STEPS': 500, 'WORKFLOW_MAX_EXECUTION_TIME': 1200, 'WORKFLOW_CALL_MAX_DEPTH': 5, + 'APP_MAX_EXECUTION_TIME': 1200, } @@ -372,6 +373,7 @@ def __init__(self): self.WORKFLOW_MAX_EXECUTION_STEPS = int(get_env('WORKFLOW_MAX_EXECUTION_STEPS')) self.WORKFLOW_MAX_EXECUTION_TIME = int(get_env('WORKFLOW_MAX_EXECUTION_TIME')) self.WORKFLOW_CALL_MAX_DEPTH = int(get_env('WORKFLOW_CALL_MAX_DEPTH')) + self.APP_MAX_EXECUTION_TIME = int(get_env('APP_MAX_EXECUTION_TIME')) # Moderation in app Configurations. self.OUTPUT_MODERATION_BUFFER_SIZE = int(get_env('OUTPUT_MODERATION_BUFFER_SIZE')) diff --git a/api/core/app/apps/base_app_queue_manager.py b/api/core/app/apps/base_app_queue_manager.py index 43a44819f9495e..eff07cc071d6ae 100644 --- a/api/core/app/apps/base_app_queue_manager.py +++ b/api/core/app/apps/base_app_queue_manager.py @@ -5,6 +5,7 @@ from enum import Enum from typing import Any +from flask import current_app from sqlalchemy.orm import DeclarativeMeta from core.app.entities.app_invoke_entities import InvokeFrom @@ -46,8 +47,8 @@ def listen(self) -> Generator: Listen to queue :return: """ - # wait for 10 minutes to stop listen - listen_timeout = 600 + # wait for APP_MAX_EXECUTION_TIME seconds to stop listen + listen_timeout = current_app.config.get("APP_MAX_EXECUTION_TIME") start_time = time.time() last_ping_time = 0 From e8afc416dd18b94b09f7ec6749abbcd6f23ad4ec Mon Sep 17 00:00:00 2001 From: Yeuoly <45712896+Yeuoly@users.noreply.github.com> Date: Thu, 13 Jun 2024 23:16:28 +0800 Subject: [PATCH 48/70] improve: CI experience (#5168) --- api/tests/integration_tests/model_runtime/__mock/anthropic.py | 2 -- .../integration_tests/model_runtime/__mock/openai_chat.py | 4 +--- .../model_runtime/__mock/openai_completion.py | 4 +--- 3 files changed, 2 insertions(+), 8 deletions(-) diff --git a/api/tests/integration_tests/model_runtime/__mock/anthropic.py b/api/tests/integration_tests/model_runtime/__mock/anthropic.py index 037501c41086da..3326f874b09505 100644 --- a/api/tests/integration_tests/model_runtime/__mock/anthropic.py +++ b/api/tests/integration_tests/model_runtime/__mock/anthropic.py @@ -1,6 +1,5 @@ import os from collections.abc import Iterable -from time import sleep from typing import Any, Literal, Union import anthropic @@ -64,7 +63,6 @@ def mocked_anthropic_chat_create_stream(model: str) -> Stream[MessageStreamEvent index = 0 for i in range(0, len(full_response_text)): - sleep(0.1) yield ContentBlockDeltaEvent( type='content_block_delta', delta=TextDelta(text=full_response_text[i], type='text_delta'), diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_chat.py b/api/tests/integration_tests/model_runtime/__mock/openai_chat.py index 35a93b24895d81..c5af941d1efd7d 100644 --- a/api/tests/integration_tests/model_runtime/__mock/openai_chat.py +++ b/api/tests/integration_tests/model_runtime/__mock/openai_chat.py @@ -1,7 +1,7 @@ import re from collections.abc import Generator from json import dumps, loads -from time import sleep, time +from time import time # import monkeypatch from typing import Any, Literal, Optional, Union @@ -112,7 +112,6 @@ def mocked_openai_chat_create_sync( if not function_call: tool_calls = MockChatClass.generate_tool_calls(tools=tools) - sleep(1) return _ChatCompletion( id='cmpl-3QJQa5jXJ5Z5X', choices=[ @@ -151,7 +150,6 @@ def mocked_openai_chat_create_stream( full_text = "Hello, world!\n\n```python\nprint('Hello, world!')\n```" for i in range(0, len(full_text) + 1): - sleep(0.1) if i == len(full_text): yield ChatCompletionChunk( id='cmpl-3QJQa5jXJ5Z5X', diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_completion.py b/api/tests/integration_tests/model_runtime/__mock/openai_completion.py index ec0f306aa37613..b0d26759055bff 100644 --- a/api/tests/integration_tests/model_runtime/__mock/openai_completion.py +++ b/api/tests/integration_tests/model_runtime/__mock/openai_completion.py @@ -1,6 +1,6 @@ import re from collections.abc import Generator -from time import sleep, time +from time import time # import monkeypatch from typing import Any, Literal, Optional, Union @@ -20,7 +20,6 @@ class MockCompletionsClass: def mocked_openai_completion_create_sync( model: str ) -> CompletionMessage: - sleep(1) return CompletionMessage( id="cmpl-3QJQa5jXJ5Z5X", object="text_completion", @@ -48,7 +47,6 @@ def mocked_openai_completion_create_stream( ) -> Generator[CompletionMessage, None, None]: full_text = "Hello, world!\n\n```python\nprint('Hello, world!')\n```" for i in range(0, len(full_text) + 1): - sleep(0.1) if i == len(full_text): yield CompletionMessage( id="cmpl-3QJQa5jXJ5Z5X", From f976740b57b2ebf42dff60a9a09d5507d44908e9 Mon Sep 17 00:00:00 2001 From: Bowen Liang Date: Fri, 14 Jun 2024 01:05:37 +0800 Subject: [PATCH 49/70] improve: mordernizing validation by migrating pydantic from 1.x to 2.x (#4592) --- api/controllers/console/feature.py | 4 +- api/controllers/web/feature.py | 2 +- api/core/agent/cot_agent_runner.py | 14 +- api/core/agent/fc_agent_runner.py | 4 +- api/core/app/apps/agent_chat/app_runner.py | 18 +- api/core/app/apps/base_app_queue_manager.py | 2 +- api/core/app/apps/base_app_runner.py | 4 +- api/core/app/apps/chat/app_runner.py | 20 +- api/core/app/apps/completion/app_runner.py | 16 +- .../app/apps/message_based_app_generator.py | 4 +- api/core/app/entities/app_invoke_entities.py | 10 +- api/core/app/entities/queue_entities.py | 55 ++-- api/core/app/entities/task_entities.py | 12 +- .../hosting_moderation/hosting_moderation.py | 2 +- .../easy_ui_based_generate_task_pipeline.py | 2 +- .../agent_tool_callback_handler.py | 2 +- api/core/entities/message_entities.py | 2 +- api/core/entities/model_entities.py | 5 +- api/core/entities/provider_configuration.py | 12 +- api/core/entities/provider_entities.py | 8 +- api/core/extension/extensible.py | 2 +- .../helper/code_executor/code_executor.py | 6 +- .../code_executor/code_node_provider.py | 2 +- .../code_executor/template_transformer.py | 4 +- api/core/indexing_runner.py | 2 +- .../entities/message_entities.py | 9 +- .../model_runtime/entities/model_entities.py | 6 +- .../entities/provider_entities.py | 6 +- .../model_providers/__base/ai_model.py | 5 + .../__base/large_language_model.py | 5 + .../__base/moderation_model.py | 5 + .../__base/speech2text_model.py | 5 + .../model_providers/__base/text2img_model.py | 5 + .../__base/text_embedding_model.py | 5 + .../model_providers/__base/tts_model.py | 5 + .../model_providers/model_provider_factory.py | 8 +- api/core/model_runtime/utils/encoders.py | 2 +- api/core/model_runtime/utils/helper.py | 2 +- api/core/moderation/api/api.py | 4 +- api/core/moderation/output_moderation.py | 6 +- .../entities/advanced_prompt_entities.py | 4 +- .../datasource/vdb/milvus/milvus_vector.py | 4 +- .../datasource/vdb/pgvecto_rs/pgvecto_rs.py | 4 +- .../rag/datasource/vdb/pgvector/pgvector.py | 4 +- .../datasource/vdb/qdrant/qdrant_vector.py | 4 +- .../rag/datasource/vdb/relyt/relyt_vector.py | 4 +- .../datasource/vdb/tidb_vector/tidb_vector.py | 4 +- .../vdb/weaviate/weaviate_vector.py | 6 +- api/core/rag/extractor/blod/blod.py | 12 +- .../rag/extractor/entity/extract_setting.py | 10 +- api/core/tools/entities/api_entities.py | 2 +- api/core/tools/entities/tool_entities.py | 12 +- .../provider/builtin/aippt/tools/aippt.py | 11 +- .../builtin/arxiv/tools/arxiv_search.py | 12 +- .../builtin/bing/tools/bing_web_search.py | 2 +- .../builtin/brave/tools/brave_search.py | 6 +- .../duckduckgo/tools/duckduckgo_search.py | 174 +++++++++++++ .../builtin/firecrawl/tools/crawl.yaml | 4 +- .../builtin/pubmed/tools/pubmed_search.py | 14 +- .../builtin/qrcode/tools/qrcode_generator.py | 2 +- .../builtin/searxng/tools/searxng_search.py | 6 +- .../builtin/stability/tools/text2image.py | 2 +- .../tools/searchStackExQuestions.yaml | 4 +- .../builtin/tavily/tools/tavily_search.yaml | 24 +- .../builtin/twilio/tools/send_message.py | 7 +- .../builtin/webscraper/tools/webscraper.yaml | 4 +- api/core/tools/tool/api_tool.py | 6 +- .../dataset_retriever_base_tool.py | 6 +- api/core/tools/tool/tool.py | 15 +- api/core/workflow/nodes/code/entities.py | 2 +- .../workflow/nodes/http_request/entities.py | 15 +- .../nodes/http_request/http_request_node.py | 2 +- api/core/workflow/nodes/iteration/entities.py | 2 +- .../nodes/knowledge_retrieval/entities.py | 6 +- .../nodes/parameter_extractor/entities.py | 18 +- .../nodes/question_classifier/entities.py | 4 +- api/core/workflow/nodes/tool/entities.py | 21 +- .../nodes/variable_aggregator/entities.py | 2 +- api/core/workflow/workflow_engine_manager.py | 2 +- .../deduct_quota_when_messaeg_created.py | 2 +- ...vider_last_used_at_when_messaeg_created.py | 2 +- api/poetry.lock | 243 ++++++++++++++---- api/pyproject.toml | 4 +- api/requirements.txt | 4 +- .../entities/model_provider_entities.py | 10 +- api/services/feature_service.py | 5 +- .../rag/datasource/vdb/milvus/test_milvus.py | 2 +- 87 files changed, 702 insertions(+), 305 deletions(-) create mode 100644 api/core/tools/provider/builtin/duckduckgo/tools/duckduckgo_search.py diff --git a/api/controllers/console/feature.py b/api/controllers/console/feature.py index 44d9d6752226dd..8475cd848822a7 100644 --- a/api/controllers/console/feature.py +++ b/api/controllers/console/feature.py @@ -16,12 +16,12 @@ class FeatureApi(Resource): @account_initialization_required @cloud_utm_record def get(self): - return FeatureService.get_features(current_user.current_tenant_id).dict() + return FeatureService.get_features(current_user.current_tenant_id).model_dump() class SystemFeatureApi(Resource): def get(self): - return FeatureService.get_system_features().dict() + return FeatureService.get_system_features().model_dump() api.add_resource(FeatureApi, '/features') diff --git a/api/controllers/web/feature.py b/api/controllers/web/feature.py index 65842d78c6c970..69b38faaf655e8 100644 --- a/api/controllers/web/feature.py +++ b/api/controllers/web/feature.py @@ -6,7 +6,7 @@ class SystemFeatureApi(Resource): def get(self): - return FeatureService.get_system_features().dict() + return FeatureService.get_system_features().model_dump() api.add_resource(SystemFeatureApi, '/system-features') diff --git a/api/core/agent/cot_agent_runner.py b/api/core/agent/cot_agent_runner.py index 40cfb20d0bf3fd..141ba2c252d95d 100644 --- a/api/core/agent/cot_agent_runner.py +++ b/api/core/agent/cot_agent_runner.py @@ -43,9 +43,9 @@ def run(self, message: Message, self._init_react_state(query) # check model mode - if 'Observation' not in app_generate_entity.model_config.stop: - if app_generate_entity.model_config.provider not in self._ignore_observation_providers: - app_generate_entity.model_config.stop.append('Observation') + if 'Observation' not in app_generate_entity.model_conf.stop: + if app_generate_entity.model_conf.provider not in self._ignore_observation_providers: + app_generate_entity.model_conf.stop.append('Observation') app_config = self.app_config @@ -109,9 +109,9 @@ def increase_usage(final_llm_usage_dict: dict[str, LLMUsage], usage: LLMUsage): # invoke model chunks: Generator[LLMResultChunk, None, None] = model_instance.invoke_llm( prompt_messages=prompt_messages, - model_parameters=app_generate_entity.model_config.parameters, + model_parameters=app_generate_entity.model_conf.parameters, tools=[], - stop=app_generate_entity.model_config.stop, + stop=app_generate_entity.model_conf.stop, stream=True, user=self.user_id, callbacks=[], @@ -141,8 +141,8 @@ def increase_usage(final_llm_usage_dict: dict[str, LLMUsage], usage: LLMUsage): if isinstance(chunk, AgentScratchpadUnit.Action): action = chunk # detect action - scratchpad.agent_response += json.dumps(chunk.dict()) - scratchpad.action_str = json.dumps(chunk.dict()) + scratchpad.agent_response += json.dumps(chunk.model_dump()) + scratchpad.action_str = json.dumps(chunk.model_dump()) scratchpad.action = action else: scratchpad.agent_response += chunk diff --git a/api/core/agent/fc_agent_runner.py b/api/core/agent/fc_agent_runner.py index d416a319a4022a..d7b063eb92ec55 100644 --- a/api/core/agent/fc_agent_runner.py +++ b/api/core/agent/fc_agent_runner.py @@ -84,9 +84,9 @@ def increase_usage(final_llm_usage_dict: dict[str, LLMUsage], usage: LLMUsage): # invoke model chunks: Union[Generator[LLMResultChunk, None, None], LLMResult] = model_instance.invoke_llm( prompt_messages=prompt_messages, - model_parameters=app_generate_entity.model_config.parameters, + model_parameters=app_generate_entity.model_conf.parameters, tools=prompt_messages_tools, - stop=app_generate_entity.model_config.stop, + stop=app_generate_entity.model_conf.stop, stream=self.stream_tool_call, user=self.user_id, callbacks=[], diff --git a/api/core/app/apps/agent_chat/app_runner.py b/api/core/app/apps/agent_chat/app_runner.py index dfa5d4591b39d8..d6367300de26e3 100644 --- a/api/core/app/apps/agent_chat/app_runner.py +++ b/api/core/app/apps/agent_chat/app_runner.py @@ -58,7 +58,7 @@ def run(self, application_generate_entity: AgentChatAppGenerateEntity, # Not Include: memory, external data, dataset context self.get_pre_calculate_rest_tokens( app_record=app_record, - model_config=application_generate_entity.model_config, + model_config=application_generate_entity.model_conf, prompt_template_entity=app_config.prompt_template, inputs=inputs, files=files, @@ -69,8 +69,8 @@ def run(self, application_generate_entity: AgentChatAppGenerateEntity, if application_generate_entity.conversation_id: # get memory of conversation (read-only) model_instance = ModelInstance( - provider_model_bundle=application_generate_entity.model_config.provider_model_bundle, - model=application_generate_entity.model_config.model + provider_model_bundle=application_generate_entity.model_conf.provider_model_bundle, + model=application_generate_entity.model_conf.model ) memory = TokenBufferMemory( @@ -83,7 +83,7 @@ def run(self, application_generate_entity: AgentChatAppGenerateEntity, # memory(optional) prompt_messages, _ = self.organize_prompt_messages( app_record=app_record, - model_config=application_generate_entity.model_config, + model_config=application_generate_entity.model_conf, prompt_template_entity=app_config.prompt_template, inputs=inputs, files=files, @@ -152,7 +152,7 @@ def run(self, application_generate_entity: AgentChatAppGenerateEntity, # memory(optional), external data, dataset context(optional) prompt_messages, _ = self.organize_prompt_messages( app_record=app_record, - model_config=application_generate_entity.model_config, + model_config=application_generate_entity.model_conf, prompt_template_entity=app_config.prompt_template, inputs=inputs, files=files, @@ -182,12 +182,12 @@ def run(self, application_generate_entity: AgentChatAppGenerateEntity, # init model instance model_instance = ModelInstance( - provider_model_bundle=application_generate_entity.model_config.provider_model_bundle, - model=application_generate_entity.model_config.model + provider_model_bundle=application_generate_entity.model_conf.provider_model_bundle, + model=application_generate_entity.model_conf.model ) prompt_message, _ = self.organize_prompt_messages( app_record=app_record, - model_config=application_generate_entity.model_config, + model_config=application_generate_entity.model_conf, prompt_template_entity=app_config.prompt_template, inputs=inputs, files=files, @@ -225,7 +225,7 @@ def run(self, application_generate_entity: AgentChatAppGenerateEntity, application_generate_entity=application_generate_entity, conversation=conversation, app_config=app_config, - model_config=application_generate_entity.model_config, + model_config=application_generate_entity.model_conf, config=agent_entity, queue_manager=queue_manager, message=message, diff --git a/api/core/app/apps/base_app_queue_manager.py b/api/core/app/apps/base_app_queue_manager.py index eff07cc071d6ae..b5c49d65c2283d 100644 --- a/api/core/app/apps/base_app_queue_manager.py +++ b/api/core/app/apps/base_app_queue_manager.py @@ -100,7 +100,7 @@ def publish(self, event: AppQueueEvent, pub_from: PublishFrom) -> None: :param pub_from: :return: """ - self._check_for_sqlalchemy_models(event.dict()) + self._check_for_sqlalchemy_models(event.model_dump()) self._publish(event, pub_from) @abstractmethod diff --git a/api/core/app/apps/base_app_runner.py b/api/core/app/apps/base_app_runner.py index 545463c8bd69cd..53f457cb116c02 100644 --- a/api/core/app/apps/base_app_runner.py +++ b/api/core/app/apps/base_app_runner.py @@ -218,7 +218,7 @@ def direct_output(self, queue_manager: AppQueueManager, index = 0 for token in text: chunk = LLMResultChunk( - model=app_generate_entity.model_config.model, + model=app_generate_entity.model_conf.model, prompt_messages=prompt_messages, delta=LLMResultChunkDelta( index=index, @@ -237,7 +237,7 @@ def direct_output(self, queue_manager: AppQueueManager, queue_manager.publish( QueueMessageEndEvent( llm_result=LLMResult( - model=app_generate_entity.model_config.model, + model=app_generate_entity.model_conf.model, prompt_messages=prompt_messages, message=AssistantPromptMessage(content=text), usage=usage if usage else LLMUsage.empty_usage() diff --git a/api/core/app/apps/chat/app_runner.py b/api/core/app/apps/chat/app_runner.py index ba2095076fa404..7d243d0726724e 100644 --- a/api/core/app/apps/chat/app_runner.py +++ b/api/core/app/apps/chat/app_runner.py @@ -54,7 +54,7 @@ def run(self, application_generate_entity: ChatAppGenerateEntity, # Not Include: memory, external data, dataset context self.get_pre_calculate_rest_tokens( app_record=app_record, - model_config=application_generate_entity.model_config, + model_config=application_generate_entity.model_conf, prompt_template_entity=app_config.prompt_template, inputs=inputs, files=files, @@ -65,8 +65,8 @@ def run(self, application_generate_entity: ChatAppGenerateEntity, if application_generate_entity.conversation_id: # get memory of conversation (read-only) model_instance = ModelInstance( - provider_model_bundle=application_generate_entity.model_config.provider_model_bundle, - model=application_generate_entity.model_config.model + provider_model_bundle=application_generate_entity.model_conf.provider_model_bundle, + model=application_generate_entity.model_conf.model ) memory = TokenBufferMemory( @@ -79,7 +79,7 @@ def run(self, application_generate_entity: ChatAppGenerateEntity, # memory(optional) prompt_messages, stop = self.organize_prompt_messages( app_record=app_record, - model_config=application_generate_entity.model_config, + model_config=application_generate_entity.model_conf, prompt_template_entity=app_config.prompt_template, inputs=inputs, files=files, @@ -159,7 +159,7 @@ def run(self, application_generate_entity: ChatAppGenerateEntity, app_id=app_record.id, user_id=application_generate_entity.user_id, tenant_id=app_record.tenant_id, - model_config=application_generate_entity.model_config, + model_config=application_generate_entity.model_conf, config=app_config.dataset, query=query, invoke_from=application_generate_entity.invoke_from, @@ -173,7 +173,7 @@ def run(self, application_generate_entity: ChatAppGenerateEntity, # memory(optional), external data, dataset context(optional) prompt_messages, stop = self.organize_prompt_messages( app_record=app_record, - model_config=application_generate_entity.model_config, + model_config=application_generate_entity.model_conf, prompt_template_entity=app_config.prompt_template, inputs=inputs, files=files, @@ -194,21 +194,21 @@ def run(self, application_generate_entity: ChatAppGenerateEntity, # Re-calculate the max tokens if sum(prompt_token + max_tokens) over model token limit self.recalc_llm_max_tokens( - model_config=application_generate_entity.model_config, + model_config=application_generate_entity.model_conf, prompt_messages=prompt_messages ) # Invoke model model_instance = ModelInstance( - provider_model_bundle=application_generate_entity.model_config.provider_model_bundle, - model=application_generate_entity.model_config.model + provider_model_bundle=application_generate_entity.model_conf.provider_model_bundle, + model=application_generate_entity.model_conf.model ) db.session.close() invoke_result = model_instance.invoke_llm( prompt_messages=prompt_messages, - model_parameters=application_generate_entity.model_config.parameters, + model_parameters=application_generate_entity.model_conf.parameters, stop=stop, stream=application_generate_entity.stream, user=application_generate_entity.user_id, diff --git a/api/core/app/apps/completion/app_runner.py b/api/core/app/apps/completion/app_runner.py index 40102f89996ba8..a3a9945bc0436b 100644 --- a/api/core/app/apps/completion/app_runner.py +++ b/api/core/app/apps/completion/app_runner.py @@ -50,7 +50,7 @@ def run(self, application_generate_entity: CompletionAppGenerateEntity, # Not Include: memory, external data, dataset context self.get_pre_calculate_rest_tokens( app_record=app_record, - model_config=application_generate_entity.model_config, + model_config=application_generate_entity.model_conf, prompt_template_entity=app_config.prompt_template, inputs=inputs, files=files, @@ -61,7 +61,7 @@ def run(self, application_generate_entity: CompletionAppGenerateEntity, # Include: prompt template, inputs, query(optional), files(optional) prompt_messages, stop = self.organize_prompt_messages( app_record=app_record, - model_config=application_generate_entity.model_config, + model_config=application_generate_entity.model_conf, prompt_template_entity=app_config.prompt_template, inputs=inputs, files=files, @@ -119,7 +119,7 @@ def run(self, application_generate_entity: CompletionAppGenerateEntity, app_id=app_record.id, user_id=application_generate_entity.user_id, tenant_id=app_record.tenant_id, - model_config=application_generate_entity.model_config, + model_config=application_generate_entity.model_conf, config=dataset_config, query=query, invoke_from=application_generate_entity.invoke_from, @@ -132,7 +132,7 @@ def run(self, application_generate_entity: CompletionAppGenerateEntity, # memory(optional), external data, dataset context(optional) prompt_messages, stop = self.organize_prompt_messages( app_record=app_record, - model_config=application_generate_entity.model_config, + model_config=application_generate_entity.model_conf, prompt_template_entity=app_config.prompt_template, inputs=inputs, files=files, @@ -152,21 +152,21 @@ def run(self, application_generate_entity: CompletionAppGenerateEntity, # Re-calculate the max tokens if sum(prompt_token + max_tokens) over model token limit self.recalc_llm_max_tokens( - model_config=application_generate_entity.model_config, + model_config=application_generate_entity.model_conf, prompt_messages=prompt_messages ) # Invoke model model_instance = ModelInstance( - provider_model_bundle=application_generate_entity.model_config.provider_model_bundle, - model=application_generate_entity.model_config.model + provider_model_bundle=application_generate_entity.model_conf.provider_model_bundle, + model=application_generate_entity.model_conf.model ) db.session.close() invoke_result = model_instance.invoke_llm( prompt_messages=prompt_messages, - model_parameters=application_generate_entity.model_config.parameters, + model_parameters=application_generate_entity.model_conf.parameters, stop=stop, stream=application_generate_entity.stream, user=application_generate_entity.user_id, diff --git a/api/core/app/apps/message_based_app_generator.py b/api/core/app/apps/message_based_app_generator.py index c70c5a97aefae1..6acf5da8df4d2a 100644 --- a/api/core/app/apps/message_based_app_generator.py +++ b/api/core/app/apps/message_based_app_generator.py @@ -158,8 +158,8 @@ def _init_generate_records(self, model_id = None else: app_model_config_id = app_config.app_model_config_id - model_provider = application_generate_entity.model_config.provider - model_id = application_generate_entity.model_config.model + model_provider = application_generate_entity.model_conf.provider + model_id = application_generate_entity.model_conf.model override_model_configs = None if app_config.app_model_config_from == EasyUIBasedAppModelConfigFrom.ARGS \ and app_config.app_mode in [AppMode.AGENT_CHAT, AppMode.CHAT, AppMode.COMPLETION]: diff --git a/api/core/app/entities/app_invoke_entities.py b/api/core/app/entities/app_invoke_entities.py index cc63fa46843fd6..f27a110870b111 100644 --- a/api/core/app/entities/app_invoke_entities.py +++ b/api/core/app/entities/app_invoke_entities.py @@ -1,7 +1,7 @@ from enum import Enum from typing import Any, Optional -from pydantic import BaseModel +from pydantic import BaseModel, ConfigDict from core.app.app_config.entities import AppConfig, EasyUIBasedAppConfig, WorkflowUIBasedAppConfig from core.entities.provider_configuration import ProviderModelBundle @@ -62,6 +62,9 @@ class ModelConfigWithCredentialsEntity(BaseModel): parameters: dict[str, Any] = {} stop: list[str] = [] + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) + class AppGenerateEntity(BaseModel): """ @@ -93,10 +96,13 @@ class EasyUIBasedAppGenerateEntity(AppGenerateEntity): """ # app config app_config: EasyUIBasedAppConfig - model_config: ModelConfigWithCredentialsEntity + model_conf: ModelConfigWithCredentialsEntity query: Optional[str] = None + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) + class ChatAppGenerateEntity(EasyUIBasedAppGenerateEntity): """ diff --git a/api/core/app/entities/queue_entities.py b/api/core/app/entities/queue_entities.py index 47fa2ac19d7659..b7e8a3a73e664e 100644 --- a/api/core/app/entities/queue_entities.py +++ b/api/core/app/entities/queue_entities.py @@ -1,14 +1,14 @@ from enum import Enum from typing import Any, Optional -from pydantic import BaseModel, validator +from pydantic import BaseModel, field_validator from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk from core.workflow.entities.base_node_data_entities import BaseNodeData from core.workflow.entities.node_entities import NodeType -class QueueEvent(Enum): +class QueueEvent(str, Enum): """ QueueEvent enum """ @@ -47,14 +47,14 @@ class QueueLLMChunkEvent(AppQueueEvent): """ QueueLLMChunkEvent entity """ - event = QueueEvent.LLM_CHUNK + event: QueueEvent = QueueEvent.LLM_CHUNK chunk: LLMResultChunk class QueueIterationStartEvent(AppQueueEvent): """ QueueIterationStartEvent entity """ - event = QueueEvent.ITERATION_START + event: QueueEvent = QueueEvent.ITERATION_START node_id: str node_type: NodeType node_data: BaseNodeData @@ -68,16 +68,17 @@ class QueueIterationNextEvent(AppQueueEvent): """ QueueIterationNextEvent entity """ - event = QueueEvent.ITERATION_NEXT + event: QueueEvent = QueueEvent.ITERATION_NEXT index: int node_id: str node_type: NodeType node_run_index: int - output: Optional[Any] # output for the current iteration + output: Optional[Any] = None # output for the current iteration - @validator('output', pre=True, always=True) + @classmethod + @field_validator('output', mode='before') def set_output(cls, v): """ Set output @@ -92,7 +93,7 @@ class QueueIterationCompletedEvent(AppQueueEvent): """ QueueIterationCompletedEvent entity """ - event = QueueEvent.ITERATION_COMPLETED + event:QueueEvent = QueueEvent.ITERATION_COMPLETED node_id: str node_type: NodeType @@ -104,7 +105,7 @@ class QueueTextChunkEvent(AppQueueEvent): """ QueueTextChunkEvent entity """ - event = QueueEvent.TEXT_CHUNK + event: QueueEvent = QueueEvent.TEXT_CHUNK text: str metadata: Optional[dict] = None @@ -113,7 +114,7 @@ class QueueAgentMessageEvent(AppQueueEvent): """ QueueMessageEvent entity """ - event = QueueEvent.AGENT_MESSAGE + event: QueueEvent = QueueEvent.AGENT_MESSAGE chunk: LLMResultChunk @@ -121,7 +122,7 @@ class QueueMessageReplaceEvent(AppQueueEvent): """ QueueMessageReplaceEvent entity """ - event = QueueEvent.MESSAGE_REPLACE + event: QueueEvent = QueueEvent.MESSAGE_REPLACE text: str @@ -129,7 +130,7 @@ class QueueRetrieverResourcesEvent(AppQueueEvent): """ QueueRetrieverResourcesEvent entity """ - event = QueueEvent.RETRIEVER_RESOURCES + event: QueueEvent = QueueEvent.RETRIEVER_RESOURCES retriever_resources: list[dict] @@ -137,7 +138,7 @@ class QueueAnnotationReplyEvent(AppQueueEvent): """ QueueAnnotationReplyEvent entity """ - event = QueueEvent.ANNOTATION_REPLY + event: QueueEvent = QueueEvent.ANNOTATION_REPLY message_annotation_id: str @@ -145,7 +146,7 @@ class QueueMessageEndEvent(AppQueueEvent): """ QueueMessageEndEvent entity """ - event = QueueEvent.MESSAGE_END + event: QueueEvent = QueueEvent.MESSAGE_END llm_result: Optional[LLMResult] = None @@ -153,28 +154,28 @@ class QueueAdvancedChatMessageEndEvent(AppQueueEvent): """ QueueAdvancedChatMessageEndEvent entity """ - event = QueueEvent.ADVANCED_CHAT_MESSAGE_END + event: QueueEvent = QueueEvent.ADVANCED_CHAT_MESSAGE_END class QueueWorkflowStartedEvent(AppQueueEvent): """ QueueWorkflowStartedEvent entity """ - event = QueueEvent.WORKFLOW_STARTED + event: QueueEvent = QueueEvent.WORKFLOW_STARTED class QueueWorkflowSucceededEvent(AppQueueEvent): """ QueueWorkflowSucceededEvent entity """ - event = QueueEvent.WORKFLOW_SUCCEEDED + event: QueueEvent = QueueEvent.WORKFLOW_SUCCEEDED class QueueWorkflowFailedEvent(AppQueueEvent): """ QueueWorkflowFailedEvent entity """ - event = QueueEvent.WORKFLOW_FAILED + event: QueueEvent = QueueEvent.WORKFLOW_FAILED error: str @@ -182,7 +183,7 @@ class QueueNodeStartedEvent(AppQueueEvent): """ QueueNodeStartedEvent entity """ - event = QueueEvent.NODE_STARTED + event: QueueEvent = QueueEvent.NODE_STARTED node_id: str node_type: NodeType @@ -195,7 +196,7 @@ class QueueNodeSucceededEvent(AppQueueEvent): """ QueueNodeSucceededEvent entity """ - event = QueueEvent.NODE_SUCCEEDED + event: QueueEvent = QueueEvent.NODE_SUCCEEDED node_id: str node_type: NodeType @@ -213,7 +214,7 @@ class QueueNodeFailedEvent(AppQueueEvent): """ QueueNodeFailedEvent entity """ - event = QueueEvent.NODE_FAILED + event: QueueEvent = QueueEvent.NODE_FAILED node_id: str node_type: NodeType @@ -230,7 +231,7 @@ class QueueAgentThoughtEvent(AppQueueEvent): """ QueueAgentThoughtEvent entity """ - event = QueueEvent.AGENT_THOUGHT + event: QueueEvent = QueueEvent.AGENT_THOUGHT agent_thought_id: str @@ -238,7 +239,7 @@ class QueueMessageFileEvent(AppQueueEvent): """ QueueAgentThoughtEvent entity """ - event = QueueEvent.MESSAGE_FILE + event: QueueEvent = QueueEvent.MESSAGE_FILE message_file_id: str @@ -246,15 +247,15 @@ class QueueErrorEvent(AppQueueEvent): """ QueueErrorEvent entity """ - event = QueueEvent.ERROR - error: Any + event: QueueEvent = QueueEvent.ERROR + error: Any = None class QueuePingEvent(AppQueueEvent): """ QueuePingEvent entity """ - event = QueueEvent.PING + event: QueueEvent = QueueEvent.PING class QueueStopEvent(AppQueueEvent): @@ -270,7 +271,7 @@ class StopBy(Enum): OUTPUT_MODERATION = "output-moderation" INPUT_MODERATION = "input-moderation" - event = QueueEvent.STOP + event: QueueEvent = QueueEvent.STOP stopped_by: StopBy diff --git a/api/core/app/entities/task_entities.py b/api/core/app/entities/task_entities.py index 5956bc35fad55f..cb023ae9fe6759 100644 --- a/api/core/app/entities/task_entities.py +++ b/api/core/app/entities/task_entities.py @@ -1,7 +1,7 @@ from enum import Enum from typing import Any, Optional -from pydantic import BaseModel +from pydantic import BaseModel, ConfigDict from core.model_runtime.entities.llm_entities import LLMResult, LLMUsage from core.model_runtime.utils.encoders import jsonable_encoder @@ -118,9 +118,7 @@ class ErrorStreamResponse(StreamResponse): """ event: StreamEvent = StreamEvent.ERROR err: Exception - - class Config: - arbitrary_types_allowed = True + model_config = ConfigDict(arbitrary_types_allowed=True) class MessageStreamResponse(StreamResponse): @@ -360,7 +358,7 @@ class Data(BaseModel): title: str index: int created_at: int - pre_iteration_output: Optional[Any] + pre_iteration_output: Optional[Any] = None extras: dict = {} event: StreamEvent = StreamEvent.ITERATION_NEXT @@ -379,12 +377,12 @@ class Data(BaseModel): node_id: str node_type: str title: str - outputs: Optional[dict] + outputs: Optional[dict] = None created_at: int extras: dict = None inputs: dict = None status: WorkflowNodeExecutionStatus - error: Optional[str] + error: Optional[str] = None elapsed_time: float total_tokens: int finished_at: int diff --git a/api/core/app/features/hosting_moderation/hosting_moderation.py b/api/core/app/features/hosting_moderation/hosting_moderation.py index ec316248a27afe..b8f3e0e1f65b74 100644 --- a/api/core/app/features/hosting_moderation/hosting_moderation.py +++ b/api/core/app/features/hosting_moderation/hosting_moderation.py @@ -16,7 +16,7 @@ def check(self, application_generate_entity: EasyUIBasedAppGenerateEntity, :param prompt_messages: prompt messages :return: """ - model_config = application_generate_entity.model_config + model_config = application_generate_entity.model_conf text = "" for prompt_message in prompt_messages: diff --git a/api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py b/api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py index f71470edb242df..ccb684d84b0c8f 100644 --- a/api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py +++ b/api/core/app/task_pipeline/easy_ui_based_generate_task_pipeline.py @@ -85,7 +85,7 @@ def __init__(self, application_generate_entity: Union[ :param stream: stream """ super().__init__(application_generate_entity, queue_manager, user, stream) - self._model_config = application_generate_entity.model_config + self._model_config = application_generate_entity.model_conf self._conversation = conversation self._message = message diff --git a/api/core/callback_handler/agent_tool_callback_handler.py b/api/core/callback_handler/agent_tool_callback_handler.py index af9db39890eeba..ac5076cd012d0d 100644 --- a/api/core/callback_handler/agent_tool_callback_handler.py +++ b/api/core/callback_handler/agent_tool_callback_handler.py @@ -29,7 +29,7 @@ def print_text( class DifyAgentCallbackHandler(BaseModel): """Callback Handler that prints to std out.""" color: Optional[str] = '' - current_loop = 1 + current_loop: int = 1 def __init__(self, color: Optional[str] = None) -> None: super().__init__() diff --git a/api/core/entities/message_entities.py b/api/core/entities/message_entities.py index b9406e24c4a987..370aeee4633550 100644 --- a/api/core/entities/message_entities.py +++ b/api/core/entities/message_entities.py @@ -17,7 +17,7 @@ def value_of(value): class PromptMessageFile(BaseModel): type: PromptMessageFileType - data: Any + data: Any = None class ImagePromptMessageFile(PromptMessageFile): diff --git a/api/core/entities/model_entities.py b/api/core/entities/model_entities.py index 9a797c1c95363d..22a21ecf9331ea 100644 --- a/api/core/entities/model_entities.py +++ b/api/core/entities/model_entities.py @@ -1,7 +1,7 @@ from enum import Enum from typing import Optional -from pydantic import BaseModel +from pydantic import BaseModel, ConfigDict from core.model_runtime.entities.common_entities import I18nObject from core.model_runtime.entities.model_entities import ModelType, ProviderModel @@ -77,3 +77,6 @@ class DefaultModelEntity(BaseModel): model: str model_type: ModelType provider: DefaultModelProviderEntity + + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) diff --git a/api/core/entities/provider_configuration.py b/api/core/entities/provider_configuration.py index ec1b2d0d48a5c9..397409622eaede 100644 --- a/api/core/entities/provider_configuration.py +++ b/api/core/entities/provider_configuration.py @@ -6,7 +6,7 @@ from json import JSONDecodeError from typing import Optional -from pydantic import BaseModel +from pydantic import BaseModel, ConfigDict from core.entities.model_entities import ModelStatus, ModelWithProviderEntity, SimpleModelProviderEntity from core.entities.provider_entities import ( @@ -54,6 +54,9 @@ class ProviderConfiguration(BaseModel): custom_configuration: CustomConfiguration model_settings: list[ModelSettings] + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) + def __init__(self, **data): super().__init__(**data) @@ -1019,7 +1022,6 @@ class ProviderModelBundle(BaseModel): provider_instance: ModelProvider model_type_instance: AIModel - class Config: - """Configuration for this pydantic object.""" - - arbitrary_types_allowed = True + # pydantic configs + model_config = ConfigDict(arbitrary_types_allowed=True, + protected_namespaces=()) diff --git a/api/core/entities/provider_entities.py b/api/core/entities/provider_entities.py index 1eaa6ea02ca296..23f0b9cb3b367c 100644 --- a/api/core/entities/provider_entities.py +++ b/api/core/entities/provider_entities.py @@ -1,7 +1,7 @@ from enum import Enum from typing import Optional -from pydantic import BaseModel +from pydantic import BaseModel, ConfigDict from core.model_runtime.entities.model_entities import ModelType from models.provider import ProviderQuotaType @@ -27,6 +27,9 @@ class RestrictModel(BaseModel): base_model_name: Optional[str] = None model_type: ModelType + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) + class QuotaConfiguration(BaseModel): """ @@ -65,6 +68,9 @@ class CustomModelConfiguration(BaseModel): model_type: ModelType credentials: dict + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) + class CustomConfiguration(BaseModel): """ diff --git a/api/core/extension/extensible.py b/api/core/extension/extensible.py index 3a37c6492e149b..b10654256475d0 100644 --- a/api/core/extension/extensible.py +++ b/api/core/extension/extensible.py @@ -16,7 +16,7 @@ class ExtensionModule(enum.Enum): class ModuleExtension(BaseModel): - extension_class: Any + extension_class: Any = None name: str label: Optional[dict] = None form_schema: Optional[list] = None diff --git a/api/core/helper/code_executor/code_executor.py b/api/core/helper/code_executor/code_executor.py index 37573c88cee6b6..c1874ed641987d 100644 --- a/api/core/helper/code_executor/code_executor.py +++ b/api/core/helper/code_executor/code_executor.py @@ -28,8 +28,8 @@ class CodeExecutionException(Exception): class CodeExecutionResponse(BaseModel): class Data(BaseModel): - stdout: Optional[str] - error: Optional[str] + stdout: Optional[str] = None + error: Optional[str] = None code: int message: str @@ -88,7 +88,7 @@ def execute_code(cls, } if dependencies: - data['dependencies'] = [dependency.dict() for dependency in dependencies] + data['dependencies'] = [dependency.model_dump() for dependency in dependencies] try: response = post(str(url), json=data, headers=headers, timeout=CODE_EXECUTION_TIMEOUT) diff --git a/api/core/helper/code_executor/code_node_provider.py b/api/core/helper/code_executor/code_node_provider.py index b76e15eeabeb23..761c0e2b2524fa 100644 --- a/api/core/helper/code_executor/code_node_provider.py +++ b/api/core/helper/code_executor/code_node_provider.py @@ -25,7 +25,7 @@ def get_default_code(cls) -> str: @classmethod def get_default_available_packages(cls) -> list[dict]: - return [p.dict() for p in CodeExecutor.list_dependencies(cls.get_language())] + return [p.model_dump() for p in CodeExecutor.list_dependencies(cls.get_language())] @classmethod def get_default_config(cls) -> dict: diff --git a/api/core/helper/code_executor/template_transformer.py b/api/core/helper/code_executor/template_transformer.py index 39af803f6efdb8..da7ef469d91abf 100644 --- a/api/core/helper/code_executor/template_transformer.py +++ b/api/core/helper/code_executor/template_transformer.py @@ -4,12 +4,10 @@ from base64 import b64encode from typing import Optional -from pydantic import BaseModel - from core.helper.code_executor.entities import CodeDependency -class TemplateTransformer(ABC, BaseModel): +class TemplateTransformer(ABC): _code_placeholder: str = '{{code}}' _inputs_placeholder: str = '{{inputs}}' _result_tag: str = '<>' diff --git a/api/core/indexing_runner.py b/api/core/indexing_runner.py index 7fa1d7d4b9ba0f..f2fb3771431ae2 100644 --- a/api/core/indexing_runner.py +++ b/api/core/indexing_runner.py @@ -550,7 +550,7 @@ def format_qa_document(self, flask_app: Flask, tenant_id: str, document_node, al document_qa_list = self.format_split_text(response) qa_documents = [] for result in document_qa_list: - qa_document = Document(page_content=result['question'], metadata=document_node.metadata.copy()) + qa_document = Document(page_content=result['question'], metadata=document_node.metadata.model_copy()) doc_id = str(uuid.uuid4()) hash = helper.generate_text_hash(result['question']) qa_document.metadata['answer'] = result['answer'] diff --git a/api/core/model_runtime/entities/message_entities.py b/api/core/model_runtime/entities/message_entities.py index 823c217c0928cc..2d32ce85c01f79 100644 --- a/api/core/model_runtime/entities/message_entities.py +++ b/api/core/model_runtime/entities/message_entities.py @@ -2,7 +2,7 @@ from enum import Enum from typing import Optional -from pydantic import BaseModel +from pydantic import BaseModel, field_validator class PromptMessageRole(Enum): @@ -123,6 +123,13 @@ class ToolCallFunction(BaseModel): type: str function: ToolCallFunction + @field_validator('id', mode='before') + def transform_id_to_str(cls, value) -> str: + if not isinstance(value, str): + return str(value) + else: + return value + role: PromptMessageRole = PromptMessageRole.ASSISTANT tool_calls: list[ToolCall] = [] diff --git a/api/core/model_runtime/entities/model_entities.py b/api/core/model_runtime/entities/model_entities.py index 7dfd811b4f6416..3d471787bbef8e 100644 --- a/api/core/model_runtime/entities/model_entities.py +++ b/api/core/model_runtime/entities/model_entities.py @@ -2,7 +2,7 @@ from enum import Enum from typing import Any, Optional -from pydantic import BaseModel +from pydantic import BaseModel, ConfigDict from core.model_runtime.entities.common_entities import I18nObject @@ -148,9 +148,7 @@ class ProviderModel(BaseModel): fetch_from: FetchFrom model_properties: dict[ModelPropertyKey, Any] deprecated: bool = False - - class Config: - protected_namespaces = () + model_config = ConfigDict(protected_namespaces=()) class ParameterRule(BaseModel): diff --git a/api/core/model_runtime/entities/provider_entities.py b/api/core/model_runtime/entities/provider_entities.py index acc453bb845694..f0a3997204be1a 100644 --- a/api/core/model_runtime/entities/provider_entities.py +++ b/api/core/model_runtime/entities/provider_entities.py @@ -1,7 +1,7 @@ from enum import Enum from typing import Optional -from pydantic import BaseModel +from pydantic import BaseModel, ConfigDict from core.model_runtime.entities.common_entities import I18nObject from core.model_runtime.entities.model_entities import AIModelEntity, ModelType, ProviderModel @@ -122,8 +122,8 @@ class ProviderEntity(BaseModel): provider_credential_schema: Optional[ProviderCredentialSchema] = None model_credential_schema: Optional[ModelCredentialSchema] = None - class Config: - protected_namespaces = () + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) def to_simple_provider(self) -> SimpleProviderEntity: """ diff --git a/api/core/model_runtime/model_providers/__base/ai_model.py b/api/core/model_runtime/model_providers/__base/ai_model.py index 919e72554c9fe0..83cfffa6116dc3 100644 --- a/api/core/model_runtime/model_providers/__base/ai_model.py +++ b/api/core/model_runtime/model_providers/__base/ai_model.py @@ -3,6 +3,8 @@ from abc import ABC, abstractmethod from typing import Optional +from pydantic import ConfigDict + from core.helper.position_helper import get_position_map, sort_by_position_map from core.model_runtime.entities.common_entities import I18nObject from core.model_runtime.entities.defaults import PARAMETER_RULE_TEMPLATE @@ -28,6 +30,9 @@ class AIModel(ABC): model_schemas: list[AIModelEntity] = None started_at: float = 0 + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) + @abstractmethod def validate_credentials(self, model: str, credentials: dict) -> None: """ diff --git a/api/core/model_runtime/model_providers/__base/large_language_model.py b/api/core/model_runtime/model_providers/__base/large_language_model.py index 40bde385657115..f148625954952f 100644 --- a/api/core/model_runtime/model_providers/__base/large_language_model.py +++ b/api/core/model_runtime/model_providers/__base/large_language_model.py @@ -6,6 +6,8 @@ from collections.abc import Generator from typing import Optional, Union +from pydantic import ConfigDict + from core.model_runtime.callbacks.base_callback import Callback from core.model_runtime.callbacks.logging_callback import LoggingCallback from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta, LLMUsage @@ -34,6 +36,9 @@ class LargeLanguageModel(AIModel): """ model_type: ModelType = ModelType.LLM + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) + def invoke(self, model: str, credentials: dict, prompt_messages: list[PromptMessage], model_parameters: Optional[dict] = None, tools: Optional[list[PromptMessageTool]] = None, stop: Optional[list[str]] = None, diff --git a/api/core/model_runtime/model_providers/__base/moderation_model.py b/api/core/model_runtime/model_providers/__base/moderation_model.py index 00cb1d6cc31624..2b17f292c5db00 100644 --- a/api/core/model_runtime/model_providers/__base/moderation_model.py +++ b/api/core/model_runtime/model_providers/__base/moderation_model.py @@ -2,6 +2,8 @@ from abc import abstractmethod from typing import Optional +from pydantic import ConfigDict + from core.model_runtime.entities.model_entities import ModelType from core.model_runtime.model_providers.__base.ai_model import AIModel @@ -12,6 +14,9 @@ class ModerationModel(AIModel): """ model_type: ModelType = ModelType.MODERATION + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) + def invoke(self, model: str, credentials: dict, text: str, user: Optional[str] = None) \ -> bool: diff --git a/api/core/model_runtime/model_providers/__base/speech2text_model.py b/api/core/model_runtime/model_providers/__base/speech2text_model.py index a084baf3401dd2..4fb11025fe07fd 100644 --- a/api/core/model_runtime/model_providers/__base/speech2text_model.py +++ b/api/core/model_runtime/model_providers/__base/speech2text_model.py @@ -2,6 +2,8 @@ from abc import abstractmethod from typing import IO, Optional +from pydantic import ConfigDict + from core.model_runtime.entities.model_entities import ModelType from core.model_runtime.model_providers.__base.ai_model import AIModel @@ -12,6 +14,9 @@ class Speech2TextModel(AIModel): """ model_type: ModelType = ModelType.SPEECH2TEXT + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) + def invoke(self, model: str, credentials: dict, file: IO[bytes], user: Optional[str] = None) \ -> str: diff --git a/api/core/model_runtime/model_providers/__base/text2img_model.py b/api/core/model_runtime/model_providers/__base/text2img_model.py index 972a2ea14ad73b..e0f1adb1c47f23 100644 --- a/api/core/model_runtime/model_providers/__base/text2img_model.py +++ b/api/core/model_runtime/model_providers/__base/text2img_model.py @@ -1,6 +1,8 @@ from abc import abstractmethod from typing import IO, Optional +from pydantic import ConfigDict + from core.model_runtime.entities.model_entities import ModelType from core.model_runtime.model_providers.__base.ai_model import AIModel @@ -11,6 +13,9 @@ class Text2ImageModel(AIModel): """ model_type: ModelType = ModelType.TEXT2IMG + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) + def invoke(self, model: str, credentials: dict, prompt: str, model_parameters: dict, user: Optional[str] = None) \ -> list[IO[bytes]]: diff --git a/api/core/model_runtime/model_providers/__base/text_embedding_model.py b/api/core/model_runtime/model_providers/__base/text_embedding_model.py index 1da4dcef9182fe..381d2f6cd19ed4 100644 --- a/api/core/model_runtime/model_providers/__base/text_embedding_model.py +++ b/api/core/model_runtime/model_providers/__base/text_embedding_model.py @@ -2,6 +2,8 @@ from abc import abstractmethod from typing import Optional +from pydantic import ConfigDict + from core.model_runtime.entities.model_entities import ModelPropertyKey, ModelType from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult from core.model_runtime.model_providers.__base.ai_model import AIModel @@ -13,6 +15,9 @@ class TextEmbeddingModel(AIModel): """ model_type: ModelType = ModelType.TEXT_EMBEDDING + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) + def invoke(self, model: str, credentials: dict, texts: list[str], user: Optional[str] = None) \ -> TextEmbeddingResult: diff --git a/api/core/model_runtime/model_providers/__base/tts_model.py b/api/core/model_runtime/model_providers/__base/tts_model.py index 22e546aad702a2..bc6a475f3672cd 100644 --- a/api/core/model_runtime/model_providers/__base/tts_model.py +++ b/api/core/model_runtime/model_providers/__base/tts_model.py @@ -4,6 +4,8 @@ from abc import abstractmethod from typing import Optional +from pydantic import ConfigDict + from core.model_runtime.entities.model_entities import ModelPropertyKey, ModelType from core.model_runtime.errors.invoke import InvokeBadRequestError from core.model_runtime.model_providers.__base.ai_model import AIModel @@ -15,6 +17,9 @@ class TTSModel(AIModel): """ model_type: ModelType = ModelType.TTS + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) + def invoke(self, model: str, tenant_id: str, credentials: dict, content_text: str, voice: str, streaming: bool, user: Optional[str] = None): """ diff --git a/api/core/model_runtime/model_providers/model_provider_factory.py b/api/core/model_runtime/model_providers/model_provider_factory.py index 26c4199d169384..a4dbaabfc9827b 100644 --- a/api/core/model_runtime/model_providers/model_provider_factory.py +++ b/api/core/model_runtime/model_providers/model_provider_factory.py @@ -2,7 +2,7 @@ import os from typing import Optional -from pydantic import BaseModel +from pydantic import BaseModel, ConfigDict from core.helper.module_import_helper import load_single_subclass_from_source from core.helper.position_helper import get_position_map, sort_to_dict_by_position_map @@ -19,11 +19,7 @@ class ModelProviderExtension(BaseModel): provider_instance: ModelProvider name: str position: Optional[int] = None - - class Config: - """Configuration for this pydantic object.""" - - arbitrary_types_allowed = True + model_config = ConfigDict(arbitrary_types_allowed=True) class ModelProviderFactory: diff --git a/api/core/model_runtime/utils/encoders.py b/api/core/model_runtime/utils/encoders.py index cf6c98e01a9a71..e41d49216c4f3c 100644 --- a/api/core/model_runtime/utils/encoders.py +++ b/api/core/model_runtime/utils/encoders.py @@ -12,9 +12,9 @@ from uuid import UUID from pydantic import BaseModel -from pydantic.color import Color from pydantic.networks import AnyUrl, NameEmail from pydantic.types import SecretBytes, SecretStr +from pydantic_extra_types.color import Color from ._compat import PYDANTIC_V2, Url, _model_dump diff --git a/api/core/model_runtime/utils/helper.py b/api/core/model_runtime/utils/helper.py index 09d08fa3bdb88f..c68a554471703f 100644 --- a/api/core/model_runtime/utils/helper.py +++ b/api/core/model_runtime/utils/helper.py @@ -6,4 +6,4 @@ def dump_model(model: BaseModel) -> dict: if hasattr(pydantic, 'model_dump'): return pydantic.model_dump(model) else: - return model.dict() + return model.model_dump() diff --git a/api/core/moderation/api/api.py b/api/core/moderation/api/api.py index 9cafbf17a360dc..f96e2a1c214f5d 100644 --- a/api/core/moderation/api/api.py +++ b/api/core/moderation/api/api.py @@ -51,7 +51,7 @@ def moderation_for_inputs(self, inputs: dict, query: str = "") -> ModerationInpu query=query ) - result = self._get_config_by_requestor(APIBasedExtensionPoint.APP_MODERATION_INPUT, params.dict()) + result = self._get_config_by_requestor(APIBasedExtensionPoint.APP_MODERATION_INPUT, params.model_dump()) return ModerationInputsResult(**result) return ModerationInputsResult(flagged=flagged, action=ModerationAction.DIRECT_OUTPUT, preset_response=preset_response) @@ -66,7 +66,7 @@ def moderation_for_outputs(self, text: str) -> ModerationOutputsResult: text=text ) - result = self._get_config_by_requestor(APIBasedExtensionPoint.APP_MODERATION_OUTPUT, params.dict()) + result = self._get_config_by_requestor(APIBasedExtensionPoint.APP_MODERATION_OUTPUT, params.model_dump()) return ModerationOutputsResult(**result) return ModerationOutputsResult(flagged=flagged, action=ModerationAction.DIRECT_OUTPUT, preset_response=preset_response) diff --git a/api/core/moderation/output_moderation.py b/api/core/moderation/output_moderation.py index af8910614da0cd..35874669524480 100644 --- a/api/core/moderation/output_moderation.py +++ b/api/core/moderation/output_moderation.py @@ -4,7 +4,7 @@ from typing import Any, Optional from flask import Flask, current_app -from pydantic import BaseModel +from pydantic import BaseModel, ConfigDict from core.app.apps.base_app_queue_manager import AppQueueManager, PublishFrom from core.app.entities.queue_entities import QueueMessageReplaceEvent @@ -33,9 +33,7 @@ class OutputModeration(BaseModel): buffer: str = '' is_final_chunk: bool = False final_output: Optional[str] = None - - class Config: - arbitrary_types_allowed = True + model_config = ConfigDict(arbitrary_types_allowed=True) def should_direct_output(self): return self.final_output is not None diff --git a/api/core/prompt/entities/advanced_prompt_entities.py b/api/core/prompt/entities/advanced_prompt_entities.py index 23a8602bea6930..61df69163cba1c 100644 --- a/api/core/prompt/entities/advanced_prompt_entities.py +++ b/api/core/prompt/entities/advanced_prompt_entities.py @@ -11,7 +11,7 @@ class ChatModelMessage(BaseModel): """ text: str role: PromptMessageRole - edition_type: Optional[Literal['basic', 'jinja2']] + edition_type: Optional[Literal['basic', 'jinja2']] = None class CompletionModelPromptTemplate(BaseModel): @@ -19,7 +19,7 @@ class CompletionModelPromptTemplate(BaseModel): Completion Model Prompt Template. """ text: str - edition_type: Optional[Literal['basic', 'jinja2']] + edition_type: Optional[Literal['basic', 'jinja2']] = None class MemoryConfig(BaseModel): diff --git a/api/core/rag/datasource/vdb/milvus/milvus_vector.py b/api/core/rag/datasource/vdb/milvus/milvus_vector.py index d77cf26d2599c8..830836c854a205 100644 --- a/api/core/rag/datasource/vdb/milvus/milvus_vector.py +++ b/api/core/rag/datasource/vdb/milvus/milvus_vector.py @@ -4,7 +4,7 @@ from uuid import uuid4 from flask import current_app -from pydantic import BaseModel, root_validator +from pydantic import BaseModel, model_validator from pymilvus import MilvusClient, MilvusException, connections from core.rag.datasource.entity.embedding import Embeddings @@ -28,7 +28,7 @@ class MilvusConfig(BaseModel): batch_size: int = 100 database: str = "default" - @root_validator() + @model_validator(mode='before') def validate_config(cls, values: dict) -> dict: if not values.get('host'): raise ValueError("config MILVUS_HOST is required") diff --git a/api/core/rag/datasource/vdb/pgvecto_rs/pgvecto_rs.py b/api/core/rag/datasource/vdb/pgvecto_rs/pgvecto_rs.py index 80a2c3f82bb47f..61cac4f3a3e3f5 100644 --- a/api/core/rag/datasource/vdb/pgvecto_rs/pgvecto_rs.py +++ b/api/core/rag/datasource/vdb/pgvecto_rs/pgvecto_rs.py @@ -6,7 +6,7 @@ from flask import current_app from numpy import ndarray from pgvecto_rs.sqlalchemy import Vector -from pydantic import BaseModel, root_validator +from pydantic import BaseModel, model_validator from sqlalchemy import Float, String, create_engine, insert, select, text from sqlalchemy import text as sql_text from sqlalchemy.dialects import postgresql @@ -31,7 +31,7 @@ class PgvectoRSConfig(BaseModel): password: str database: str - @root_validator() + @model_validator(mode='before') def validate_config(cls, values: dict) -> dict: if not values['host']: raise ValueError("config PGVECTO_RS_HOST is required") diff --git a/api/core/rag/datasource/vdb/pgvector/pgvector.py b/api/core/rag/datasource/vdb/pgvector/pgvector.py index c9a1508ab28f9a..72d0a85f8d4b0d 100644 --- a/api/core/rag/datasource/vdb/pgvector/pgvector.py +++ b/api/core/rag/datasource/vdb/pgvector/pgvector.py @@ -6,7 +6,7 @@ import psycopg2.extras import psycopg2.pool from flask import current_app -from pydantic import BaseModel, root_validator +from pydantic import BaseModel, model_validator from core.rag.datasource.entity.embedding import Embeddings from core.rag.datasource.vdb.vector_base import BaseVector @@ -24,7 +24,7 @@ class PGVectorConfig(BaseModel): password: str database: str - @root_validator() + @model_validator(mode='before') def validate_config(cls, values: dict) -> dict: if not values["host"]: raise ValueError("config PGVECTOR_HOST is required") diff --git a/api/core/rag/datasource/vdb/qdrant/qdrant_vector.py b/api/core/rag/datasource/vdb/qdrant/qdrant_vector.py index 49c0e2c985a4e4..bccc3a39f6479d 100644 --- a/api/core/rag/datasource/vdb/qdrant/qdrant_vector.py +++ b/api/core/rag/datasource/vdb/qdrant/qdrant_vector.py @@ -40,9 +40,9 @@ class QdrantConfig(BaseModel): endpoint: str - api_key: Optional[str] + api_key: Optional[str] = None timeout: float = 20 - root_path: Optional[str] + root_path: Optional[str] = None grpc_port: int = 6334 prefer_grpc: bool = False diff --git a/api/core/rag/datasource/vdb/relyt/relyt_vector.py b/api/core/rag/datasource/vdb/relyt/relyt_vector.py index 5ccb24f57f547b..d2b32324a172d9 100644 --- a/api/core/rag/datasource/vdb/relyt/relyt_vector.py +++ b/api/core/rag/datasource/vdb/relyt/relyt_vector.py @@ -3,7 +3,7 @@ from typing import Any, Optional from flask import current_app -from pydantic import BaseModel, root_validator +from pydantic import BaseModel, model_validator from sqlalchemy import Column, Sequence, String, Table, create_engine, insert from sqlalchemy import text as sql_text from sqlalchemy.dialects.postgresql import JSON, TEXT @@ -33,7 +33,7 @@ class RelytConfig(BaseModel): password: str database: str - @root_validator() + @model_validator(mode='before') def validate_config(cls, values: dict) -> dict: if not values['host']: raise ValueError("config RELYT_HOST is required") diff --git a/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py b/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py index 6564c565d150db..3a9a56f93aa3e3 100644 --- a/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py +++ b/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py @@ -4,7 +4,7 @@ import sqlalchemy from flask import current_app -from pydantic import BaseModel, root_validator +from pydantic import BaseModel, model_validator from sqlalchemy import JSON, TEXT, Column, DateTime, String, Table, create_engine, insert from sqlalchemy import text as sql_text from sqlalchemy.orm import Session, declarative_base @@ -27,7 +27,7 @@ class TiDBVectorConfig(BaseModel): password: str database: str - @root_validator() + @model_validator(mode='before') def validate_config(cls, values: dict) -> dict: if not values['host']: raise ValueError("config TIDB_VECTOR_HOST is required") diff --git a/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py b/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py index 73f9c580aad856..c3595ae495a900 100644 --- a/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py +++ b/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py @@ -5,7 +5,7 @@ import requests import weaviate from flask import current_app -from pydantic import BaseModel, root_validator +from pydantic import BaseModel, model_validator from core.rag.datasource.entity.embedding import Embeddings from core.rag.datasource.vdb.field import Field @@ -19,10 +19,10 @@ class WeaviateConfig(BaseModel): endpoint: str - api_key: Optional[str] + api_key: Optional[str] = None batch_size: int = 100 - @root_validator() + @model_validator(mode='before') def validate_config(cls, values: dict) -> dict: if not values['endpoint']: raise ValueError("config WEAVIATE_ENDPOINT is required") diff --git a/api/core/rag/extractor/blod/blod.py b/api/core/rag/extractor/blod/blod.py index 8d423e1b3f6236..abfdafcfa251a4 100644 --- a/api/core/rag/extractor/blod/blod.py +++ b/api/core/rag/extractor/blod/blod.py @@ -14,7 +14,7 @@ from pathlib import PurePath from typing import Any, Optional, Union -from pydantic import BaseModel, root_validator +from pydantic import BaseModel, ConfigDict, model_validator PathLike = Union[str, PurePath] @@ -29,7 +29,7 @@ class Blob(BaseModel): Inspired by: https://developer.mozilla.org/en-US/docs/Web/API/Blob """ - data: Union[bytes, str, None] # Raw data + data: Union[bytes, str, None] = None # Raw data mimetype: Optional[str] = None # Not to be confused with a file extension encoding: str = "utf-8" # Use utf-8 as default encoding, if decoding to string # Location where the original content was found @@ -37,17 +37,15 @@ class Blob(BaseModel): # Useful for situations where downstream code assumes it must work with file paths # rather than in-memory content. path: Optional[PathLike] = None - - class Config: - arbitrary_types_allowed = True - frozen = True + model_config = ConfigDict(arbitrary_types_allowed=True, frozen=True) @property def source(self) -> Optional[str]: """The source location of the blob as string if known otherwise none.""" return str(self.path) if self.path else None - @root_validator(pre=True) + @model_validator(mode="before") + @classmethod def check_blob_is_valid(cls, values: Mapping[str, Any]) -> Mapping[str, Any]: """Verify that either data or path is provided.""" if "data" not in values and "path" not in values: diff --git a/api/core/rag/extractor/entity/extract_setting.py b/api/core/rag/extractor/entity/extract_setting.py index 49cd4d0c033143..33d9786691932e 100644 --- a/api/core/rag/extractor/entity/extract_setting.py +++ b/api/core/rag/extractor/entity/extract_setting.py @@ -1,4 +1,4 @@ -from pydantic import BaseModel +from pydantic import BaseModel, ConfigDict from models.dataset import Document from models.model import UploadFile @@ -13,9 +13,7 @@ class NotionInfo(BaseModel): notion_page_type: str document: Document = None tenant_id: str - - class Config: - arbitrary_types_allowed = True + model_config = ConfigDict(arbitrary_types_allowed=True) def __init__(self, **data) -> None: super().__init__(**data) @@ -29,9 +27,7 @@ class ExtractSetting(BaseModel): upload_file: UploadFile = None notion_info: NotionInfo = None document_model: str = None - - class Config: - arbitrary_types_allowed = True + model_config = ConfigDict(arbitrary_types_allowed=True) def __init__(self, **data) -> None: super().__init__(**data) diff --git a/api/core/tools/entities/api_entities.py b/api/core/tools/entities/api_entities.py index b6c553f3f12285..da12996b2bd6d1 100644 --- a/api/core/tools/entities/api_entities.py +++ b/api/core/tools/entities/api_entities.py @@ -13,7 +13,7 @@ class UserTool(BaseModel): name: str # identifier label: I18nObject # label description: I18nObject - parameters: Optional[list[ToolParameter]] + parameters: Optional[list[ToolParameter]] = None labels: list[str] = None UserToolProviderTypeLiteral = Optional[Literal[ diff --git a/api/core/tools/entities/tool_entities.py b/api/core/tools/entities/tool_entities.py index 55ef8e829121d9..265ee572f9ec5b 100644 --- a/api/core/tools/entities/tool_entities.py +++ b/api/core/tools/entities/tool_entities.py @@ -1,7 +1,7 @@ from enum import Enum from typing import Any, Optional, Union, cast -from pydantic import BaseModel, Field +from pydantic import BaseModel, Field, field_validator from core.tools.entities.common_entities import I18nObject @@ -116,6 +116,14 @@ class ToolParameterOption(BaseModel): value: str = Field(..., description="The value of the option") label: I18nObject = Field(..., description="The label of the option") + @classmethod + @field_validator('value', mode='before') + def transform_id_to_str(cls, value) -> str: + if isinstance(value, bool): + return str(value) + else: + return value + class ToolParameter(BaseModel): class ToolParameterType(str, Enum): @@ -278,7 +286,7 @@ def dict(self) -> dict: 'conversation_id': self.conversation_id, 'user_id': self.user_id, 'tenant_id': self.tenant_id, - 'pool': [variable.dict() for variable in self.pool], + 'pool': [variable.model_dump() for variable in self.pool], } def set_text(self, tool_name: str, name: str, value: str) -> None: diff --git a/api/core/tools/provider/builtin/aippt/tools/aippt.py b/api/core/tools/provider/builtin/aippt/tools/aippt.py index 81465848a22f2a..518eb732c2348c 100644 --- a/api/core/tools/provider/builtin/aippt/tools/aippt.py +++ b/api/core/tools/provider/builtin/aippt/tools/aippt.py @@ -4,7 +4,7 @@ from json import loads as json_loads from threading import Lock from time import sleep, time -from typing import Any +from typing import Any, Optional from httpx import get, post from requests import get as requests_get @@ -22,9 +22,9 @@ class AIPPTGenerateTool(BuiltinTool): _api_base_url = URL('https://co.aippt.cn/api') _api_token_cache = {} - _api_token_cache_lock = Lock() + _api_token_cache_lock:Optional[Lock] = None _style_cache = {} - _style_cache_lock = Lock() + _style_cache_lock:Optional[Lock] = None _task = {} _task_type_map = { @@ -32,6 +32,11 @@ class AIPPTGenerateTool(BuiltinTool): 'markdown': 7, } + def __init__(self, **kwargs: Any): + super().__init__(**kwargs) + self._api_token_cache_lock = Lock() + self._style_cache_lock = Lock() + def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]: """ Invokes the AIPPT generate tool with the given user ID and tool parameters. diff --git a/api/core/tools/provider/builtin/arxiv/tools/arxiv_search.py b/api/core/tools/provider/builtin/arxiv/tools/arxiv_search.py index 448d2e8f849cd0..ce28373880ba18 100644 --- a/api/core/tools/provider/builtin/arxiv/tools/arxiv_search.py +++ b/api/core/tools/provider/builtin/arxiv/tools/arxiv_search.py @@ -44,14 +44,10 @@ class ArxivAPIWrapper(BaseModel): arxiv.run("tree of thought llm) """ - arxiv_search = arxiv.Search #: :meta private: - arxiv_exceptions = ( - arxiv.ArxivError, - arxiv.UnexpectedEmptyPageError, - arxiv.HTTPError, - ) # :meta private: + arxiv_search: type[arxiv.Search] = arxiv.Search #: :meta private: + arxiv_http_error: tuple[type[Exception]] = (arxiv.ArxivError, arxiv.UnexpectedEmptyPageError, arxiv.HTTPError) top_k_results: int = 3 - ARXIV_MAX_QUERY_LENGTH = 300 + ARXIV_MAX_QUERY_LENGTH: int = 300 load_max_docs: int = 100 load_all_available_meta: bool = False doc_content_chars_max: Optional[int] = 4000 @@ -73,7 +69,7 @@ def run(self, query: str) -> str: results = self.arxiv_search( # type: ignore query[: self.ARXIV_MAX_QUERY_LENGTH], max_results=self.top_k_results ).results() - except self.arxiv_exceptions as ex: + except arxiv_http_error as ex: return f"Arxiv exception: {ex}" docs = [ f"Published: {result.updated.date()}\n" diff --git a/api/core/tools/provider/builtin/bing/tools/bing_web_search.py b/api/core/tools/provider/builtin/bing/tools/bing_web_search.py index d133f38082c5c2..761aecde9412d3 100644 --- a/api/core/tools/provider/builtin/bing/tools/bing_web_search.py +++ b/api/core/tools/provider/builtin/bing/tools/bing_web_search.py @@ -8,7 +8,7 @@ class BingSearchTool(BuiltinTool): - url = 'https://api.bing.microsoft.com/v7.0/search' + url: str = 'https://api.bing.microsoft.com/v7.0/search' def _invoke_bing(self, user_id: str, diff --git a/api/core/tools/provider/builtin/brave/tools/brave_search.py b/api/core/tools/provider/builtin/brave/tools/brave_search.py index f121cb0e34f72e..21cbf2c7dae11d 100644 --- a/api/core/tools/provider/builtin/brave/tools/brave_search.py +++ b/api/core/tools/provider/builtin/brave/tools/brave_search.py @@ -15,7 +15,7 @@ class BraveSearchWrapper(BaseModel): """The API key to use for the Brave search engine.""" search_kwargs: dict = Field(default_factory=dict) """Additional keyword arguments to pass to the search request.""" - base_url = "https://api.search.brave.com/res/v1/web/search" + base_url: str = "https://api.search.brave.com/res/v1/web/search" """The base URL for the Brave search engine.""" def run(self, query: str) -> str: @@ -58,8 +58,8 @@ def _search_request(self, query: str) -> list[dict]: class BraveSearch(BaseModel): """Tool that queries the BraveSearch.""" - name = "brave_search" - description = ( + name: str = "brave_search" + description: str = ( "a search engine. " "useful for when you need to answer questions about current events." " input should be a search query." diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/duckduckgo_search.py b/api/core/tools/provider/builtin/duckduckgo/tools/duckduckgo_search.py new file mode 100644 index 00000000000000..5beaa7bf44aaf5 --- /dev/null +++ b/api/core/tools/provider/builtin/duckduckgo/tools/duckduckgo_search.py @@ -0,0 +1,174 @@ +<<<<<<< HEAD +======= +from typing import Any, Optional + +from pydantic import BaseModel, Field + +from core.tools.entities.tool_entities import ToolInvokeMessage +from core.tools.tool.builtin_tool import BuiltinTool + + +class DuckDuckGoSearchAPIWrapper(BaseModel): + """Wrapper for DuckDuckGo Search API. + + Free and does not require any setup. + """ + + region: Optional[str] = "wt-wt" + safesearch: str = "moderate" + time: Optional[str] = "y" + max_results: int = 5 + + def get_snippets(self, query: str) -> list[str]: + """Run query through DuckDuckGo and return concatenated results.""" + from duckduckgo_search import DDGS + + with DDGS() as ddgs: + results = ddgs.text( + query, + region=self.region, + safesearch=self.safesearch, + timelimit=self.time, + ) + if results is None: + return ["No good DuckDuckGo Search Result was found"] + snippets = [] + for i, res in enumerate(results, 1): + if res is not None: + snippets.append(res["body"]) + if len(snippets) == self.max_results: + break + return snippets + + def run(self, query: str) -> str: + snippets = self.get_snippets(query) + return " ".join(snippets) + + def results( + self, query: str, num_results: int, backend: str = "api" + ) -> list[dict[str, str]]: + """Run query through DuckDuckGo and return metadata. + + Args: + query: The query to search for. + num_results: The number of results to return. + + Returns: + A list of dictionaries with the following keys: + snippet - The description of the result. + title - The title of the result. + link - The link to the result. + """ + from duckduckgo_search import DDGS + + with DDGS() as ddgs: + results = ddgs.text( + query, + region=self.region, + safesearch=self.safesearch, + timelimit=self.time, + backend=backend, + ) + if results is None: + return [{"Result": "No good DuckDuckGo Search Result was found"}] + + def to_metadata(result: dict) -> dict[str, str]: + if backend == "news": + return { + "date": result["date"], + "title": result["title"], + "snippet": result["body"], + "source": result["source"], + "link": result["url"], + } + return { + "snippet": result["body"], + "title": result["title"], + "link": result["href"], + } + + formatted_results = [] + for i, res in enumerate(results, 1): + if res is not None: + formatted_results.append(to_metadata(res)) + if len(formatted_results) == num_results: + break + return formatted_results + + +class DuckDuckGoSearchRun(BaseModel): + """Tool that queries the DuckDuckGo search API.""" + + name: str = "duckduckgo_search" + description: str = ( + "A wrapper around DuckDuckGo Search. " + "Useful for when you need to answer questions about current events. " + "Input should be a search query." + ) + api_wrapper: DuckDuckGoSearchAPIWrapper = Field( + default_factory=DuckDuckGoSearchAPIWrapper + ) + + def _run( + self, + query: str, + ) -> str: + """Use the tool.""" + return self.api_wrapper.run(query) + + +class DuckDuckGoSearchResults(BaseModel): + """Tool that queries the DuckDuckGo search API and gets back json.""" + + name: str = "DuckDuckGo Results JSON" + description: str = ( + "A wrapper around Duck Duck Go Search. " + "Useful for when you need to answer questions about current events. " + "Input should be a search query. Output is a JSON array of the query results" + ) + num_results: int = 4 + api_wrapper: DuckDuckGoSearchAPIWrapper = Field( + default_factory=DuckDuckGoSearchAPIWrapper + ) + backend: str = "api" + + def _run( + self, + query: str, + ) -> str: + """Use the tool.""" + res = self.api_wrapper.results(query, self.num_results, backend=self.backend) + res_strs = [", ".join([f"{k}: {v}" for k, v in d.items()]) for d in res] + return ", ".join([f"[{rs}]" for rs in res_strs]) + +class DuckDuckGoInput(BaseModel): + query: str = Field(..., description="Search query.") + +class DuckDuckGoSearchTool(BuiltinTool): + """ + Tool for performing a search using DuckDuckGo search engine. + """ + + def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]: + """ + Invoke the DuckDuckGo search tool. + + Args: + user_id (str): The ID of the user invoking the tool. + tool_parameters (dict[str, Any]): The parameters for the tool invocation. + + Returns: + ToolInvokeMessage | list[ToolInvokeMessage]: The result of the tool invocation. + """ + query = tool_parameters.get('query', '') + + if not query: + return self.create_text_message('Please input query') + + tool = DuckDuckGoSearchRun(args_schema=DuckDuckGoInput) + + result = tool._run(query) + + return self.create_text_message(self.summary(user_id=user_id, content=result)) + +>>>>>>> 4c2ba442b (missing type in DuckDuckGoSearchAPIWrapper) diff --git a/api/core/tools/provider/builtin/firecrawl/tools/crawl.yaml b/api/core/tools/provider/builtin/firecrawl/tools/crawl.yaml index fd3bcc839a101e..5f6ba955b8b84f 100644 --- a/api/core/tools/provider/builtin/firecrawl/tools/crawl.yaml +++ b/api/core/tools/provider/builtin/firecrawl/tools/crawl.yaml @@ -69,10 +69,10 @@ parameters: options: - value: true label: - en_US: Yes + en_US: 'Yes' zh_Hans: 是 - value: false label: - en_US: No + en_US: 'No' zh_Hans: 否 default: false diff --git a/api/core/tools/provider/builtin/pubmed/tools/pubmed_search.py b/api/core/tools/provider/builtin/pubmed/tools/pubmed_search.py index ee465d9bca1a55..58811d65e6fe9a 100644 --- a/api/core/tools/provider/builtin/pubmed/tools/pubmed_search.py +++ b/api/core/tools/provider/builtin/pubmed/tools/pubmed_search.py @@ -28,15 +28,15 @@ class PubMedAPIWrapper(BaseModel): if False: the `metadata` gets only the most informative fields. """ - base_url_esearch = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?" - base_url_efetch = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?" - max_retry = 5 - sleep_time = 0.2 + base_url_esearch: str = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?" + base_url_efetch: str = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?" + max_retry: int = 5 + sleep_time: float = 0.2 # Default values for the parameters top_k_results: int = 3 load_max_docs: int = 25 - ARXIV_MAX_QUERY_LENGTH = 300 + ARXIV_MAX_QUERY_LENGTH: int = 300 doc_content_chars_max: int = 2000 load_all_available_meta: bool = False email: str = "your_email@example.com" @@ -160,8 +160,8 @@ def retrieve_article(self, uid: str, webenv: str) -> dict: class PubmedQueryRun(BaseModel): """Tool that searches the PubMed API.""" - name = "PubMed" - description = ( + name: str = "PubMed" + description: str = ( "A wrapper around PubMed.org " "Useful for when you need to answer questions about Physics, Mathematics, " "Computer Science, Quantitative Biology, Quantitative Finance, Statistics, " diff --git a/api/core/tools/provider/builtin/qrcode/tools/qrcode_generator.py b/api/core/tools/provider/builtin/qrcode/tools/qrcode_generator.py index 8db5b1f8e82a73..5eede98f5eed6c 100644 --- a/api/core/tools/provider/builtin/qrcode/tools/qrcode_generator.py +++ b/api/core/tools/provider/builtin/qrcode/tools/qrcode_generator.py @@ -12,7 +12,7 @@ class QRCodeGeneratorTool(BuiltinTool): - error_correction_levels = { + error_correction_levels: dict[str, int] = { 'L': ERROR_CORRECT_L, # <=7% 'M': ERROR_CORRECT_M, # <=15% 'Q': ERROR_CORRECT_Q, # <=25% diff --git a/api/core/tools/provider/builtin/searxng/tools/searxng_search.py b/api/core/tools/provider/builtin/searxng/tools/searxng_search.py index 50f04760a70b2a..3e46916b9b4da6 100644 --- a/api/core/tools/provider/builtin/searxng/tools/searxng_search.py +++ b/api/core/tools/provider/builtin/searxng/tools/searxng_search.py @@ -24,21 +24,21 @@ class SearXNGSearchTool(BuiltinTool): Tool for performing a search using SearXNG engine. """ - SEARCH_TYPE = { + SEARCH_TYPE: dict[str, str] = { "page": "general", "news": "news", "image": "images", # "video": "videos", # "file": "files" } - LINK_FILED = { + LINK_FILED: dict[str, str] = { "page": "url", "news": "url", "image": "img_src", # "video": "iframe_src", # "file": "magnetlink" } - TEXT_FILED = { + TEXT_FILED: dict[str, str] = { "page": "content", "news": "content", "image": "img_src", diff --git a/api/core/tools/provider/builtin/stability/tools/text2image.py b/api/core/tools/provider/builtin/stability/tools/text2image.py index e8aa22d41331a7..41236f7b433cef 100644 --- a/api/core/tools/provider/builtin/stability/tools/text2image.py +++ b/api/core/tools/provider/builtin/stability/tools/text2image.py @@ -11,7 +11,7 @@ class StableDiffusionTool(BuiltinTool, BaseStabilityAuthorization): """ This class is responsible for providing the stable diffusion tool. """ - model_endpoint_map = { + model_endpoint_map: dict[str, str] = { 'sd3': 'https://api.stability.ai/v2beta/stable-image/generate/sd3', 'sd3-turbo': 'https://api.stability.ai/v2beta/stable-image/generate/sd3', 'core': 'https://api.stability.ai/v2beta/stable-image/generate/core', diff --git a/api/core/tools/provider/builtin/stackexchange/tools/searchStackExQuestions.yaml b/api/core/tools/provider/builtin/stackexchange/tools/searchStackExQuestions.yaml index b805c59a56e04f..ec36abd1296b8b 100644 --- a/api/core/tools/provider/builtin/stackexchange/tools/searchStackExQuestions.yaml +++ b/api/core/tools/provider/builtin/stackexchange/tools/searchStackExQuestions.yaml @@ -98,11 +98,11 @@ parameters: options: - value: true label: - en_US: Yes + en_US: 'Yes' zh_Hans: 是 - value: false label: - en_US: No + en_US: 'No' zh_Hans: 否 default: true - name: pagesize diff --git a/api/core/tools/provider/builtin/tavily/tools/tavily_search.yaml b/api/core/tools/provider/builtin/tavily/tools/tavily_search.yaml index fc386555769b66..bfa578458d44d2 100644 --- a/api/core/tools/provider/builtin/tavily/tools/tavily_search.yaml +++ b/api/core/tools/provider/builtin/tavily/tools/tavily_search.yaml @@ -64,14 +64,14 @@ parameters: options: - value: true label: - en_US: Yes + en_US: 'Yes' zh_Hans: 是 - pt_BR: Yes + pt_BR: 'Yes' - value: false label: - en_US: No + en_US: 'No' zh_Hans: 否 - pt_BR: No + pt_BR: 'No' default: false - name: include_answer type: boolean @@ -88,14 +88,14 @@ parameters: options: - value: true label: - en_US: Yes + en_US: 'Yes' zh_Hans: 是 - pt_BR: Yes + pt_BR: 'Yes' - value: false label: - en_US: No + en_US: 'No' zh_Hans: 否 - pt_BR: No + pt_BR: 'No' default: false - name: include_raw_content type: boolean @@ -112,14 +112,14 @@ parameters: options: - value: true label: - en_US: Yes + en_US: 'Yes' zh_Hans: 是 - pt_BR: Yes + pt_BR: 'Yes' - value: false label: - en_US: No + en_US: 'No' zh_Hans: 否 - pt_BR: No + pt_BR: 'No' default: false - name: max_results type: number diff --git a/api/core/tools/provider/builtin/twilio/tools/send_message.py b/api/core/tools/provider/builtin/twilio/tools/send_message.py index 48e3876a4acc82..48ce7d839bba14 100644 --- a/api/core/tools/provider/builtin/twilio/tools/send_message.py +++ b/api/core/tools/provider/builtin/twilio/tools/send_message.py @@ -1,6 +1,6 @@ from typing import Any, Optional, Union -from pydantic import BaseModel, validator +from pydantic import BaseModel, field_validator from core.tools.entities.tool_entities import ToolInvokeMessage from core.tools.tool.builtin_tool import BuiltinTool @@ -15,7 +15,7 @@ class TwilioAPIWrapper(BaseModel): named parameters to the constructor. """ - client: Any #: :meta private: + client: Any = None #: :meta private: account_sid: Optional[str] = None """Twilio account string identifier.""" auth_token: Optional[str] = None @@ -32,7 +32,8 @@ class TwilioAPIWrapper(BaseModel): must be empty. """ - @validator("client", pre=True, always=True) + @classmethod + @field_validator('client', mode='before') def set_validator(cls, values: dict) -> dict: """Validate that api key and python package exists in environment.""" try: diff --git a/api/core/tools/provider/builtin/webscraper/tools/webscraper.yaml b/api/core/tools/provider/builtin/webscraper/tools/webscraper.yaml index 180cfec6fc687d..0dae3db22f7a5c 100644 --- a/api/core/tools/provider/builtin/webscraper/tools/webscraper.yaml +++ b/api/core/tools/provider/builtin/webscraper/tools/webscraper.yaml @@ -51,10 +51,10 @@ parameters: options: - value: true label: - en_US: Yes + en_US: 'Yes' zh_Hans: 是 - value: false label: - en_US: No + en_US: 'No' zh_Hans: 否 default: false diff --git a/api/core/tools/tool/api_tool.py b/api/core/tools/tool/api_tool.py index ff7d4015ab3d37..c39f4aa3b7dc8d 100644 --- a/api/core/tools/tool/api_tool.py +++ b/api/core/tools/tool/api_tool.py @@ -32,10 +32,10 @@ def fork_tool_runtime(self, runtime: dict[str, Any]) -> 'Tool': :return: the new tool """ return self.__class__( - identity=self.identity.copy() if self.identity else None, + identity=self.identity.model_copy() if self.identity else None, parameters=self.parameters.copy() if self.parameters else None, - description=self.description.copy() if self.description else None, - api_bundle=self.api_bundle.copy() if self.api_bundle else None, + description=self.description.model_copy() if self.description else None, + api_bundle=self.api_bundle.model_copy() if self.api_bundle else None, runtime=Tool.Runtime(**runtime) ) diff --git a/api/core/tools/tool/dataset_retriever/dataset_retriever_base_tool.py b/api/core/tools/tool/dataset_retriever/dataset_retriever_base_tool.py index 1f8478f5541acf..62e97a02306e58 100644 --- a/api/core/tools/tool/dataset_retriever/dataset_retriever_base_tool.py +++ b/api/core/tools/tool/dataset_retriever/dataset_retriever_base_tool.py @@ -2,7 +2,7 @@ from typing import Any, Optional from msal_extensions.persistence import ABC -from pydantic import BaseModel +from pydantic import BaseModel, ConfigDict from core.callback_handler.index_tool_callback_handler import DatasetIndexToolCallbackHandler @@ -17,9 +17,7 @@ class DatasetRetrieverBaseTool(BaseModel, ABC): hit_callbacks: list[DatasetIndexToolCallbackHandler] = [] return_resource: bool retriever_from: str - - class Config: - arbitrary_types_allowed = True + model_config = ConfigDict(arbitrary_types_allowed=True) @abstractmethod def _run( diff --git a/api/core/tools/tool/tool.py b/api/core/tools/tool/tool.py index 5ae54e47289dcd..df5a2a1e6693d7 100644 --- a/api/core/tools/tool/tool.py +++ b/api/core/tools/tool/tool.py @@ -3,7 +3,8 @@ from enum import Enum from typing import Any, Optional, Union -from pydantic import BaseModel, validator +from pydantic import BaseModel, ConfigDict, field_validator +from pydantic_core.core_schema import ValidationInfo from core.app.entities.app_invoke_entities import InvokeFrom from core.file.file_obj import FileVar @@ -28,8 +29,12 @@ class Tool(BaseModel, ABC): description: ToolDescription = None is_team_authorization: bool = False - @validator('parameters', pre=True, always=True) - def set_parameters(cls, v, values): + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) + + @classmethod + @field_validator('parameters', mode='before') + def set_parameters(cls, v, validation_info: ValidationInfo) -> list[ToolParameter]: return v or [] class Runtime(BaseModel): @@ -65,9 +70,9 @@ def fork_tool_runtime(self, runtime: dict[str, Any]) -> 'Tool': :return: the new tool """ return self.__class__( - identity=self.identity.copy() if self.identity else None, + identity=self.identity.model_copy() if self.identity else None, parameters=self.parameters.copy() if self.parameters else None, - description=self.description.copy() if self.description else None, + description=self.description.model_copy() if self.description else None, runtime=Tool.Runtime(**runtime), ) diff --git a/api/core/workflow/nodes/code/entities.py b/api/core/workflow/nodes/code/entities.py index 03044268ab588a..83a5416d57ce6a 100644 --- a/api/core/workflow/nodes/code/entities.py +++ b/api/core/workflow/nodes/code/entities.py @@ -14,7 +14,7 @@ class CodeNodeData(BaseNodeData): """ class Output(BaseModel): type: Literal['string', 'number', 'object', 'array[string]', 'array[number]', 'array[object]'] - children: Optional[dict[str, 'Output']] + children: Optional[dict[str, 'Output']] = None variables: list[VariableSelector] code_language: Literal[CodeLanguage.PYTHON3, CodeLanguage.JAVASCRIPT] diff --git a/api/core/workflow/nodes/http_request/entities.py b/api/core/workflow/nodes/http_request/entities.py index 4a81a4176d9ed1..981e3fcc682e20 100644 --- a/api/core/workflow/nodes/http_request/entities.py +++ b/api/core/workflow/nodes/http_request/entities.py @@ -1,7 +1,7 @@ import os from typing import Literal, Optional, Union -from pydantic import BaseModel, validator +from pydantic import BaseModel, field_validator from core.workflow.entities.base_node_data_entities import BaseNodeData @@ -14,15 +14,18 @@ class HttpRequestNodeData(BaseNodeData): Code Node Data. """ class Authorization(BaseModel): + # TODO[pydantic]: The `Config` class inherits from another class, please create the `model_config` manually. + # Check https://docs.pydantic.dev/dev-v2/migration/#changes-to-config for more information. class Config(BaseModel): type: Literal[None, 'basic', 'bearer', 'custom'] - api_key: Union[None, str] - header: Union[None, str] + api_key: Union[None, str] = None + header: Union[None, str] = None type: Literal['no-auth', 'api-key'] config: Optional[Config] - @validator('config', always=True, pre=True) + @classmethod + @field_validator('config', mode='before') def check_config(cls, v, values): """ Check config, if type is no-auth, config should be None, otherwise it should be a dict. @@ -37,7 +40,7 @@ def check_config(cls, v, values): class Body(BaseModel): type: Literal['none', 'form-data', 'x-www-form-urlencoded', 'raw-text', 'json'] - data: Union[None, str] + data: Union[None, str] = None class Timeout(BaseModel): connect: Optional[int] = MAX_CONNECT_TIMEOUT @@ -50,5 +53,5 @@ class Timeout(BaseModel): headers: str params: str body: Optional[Body] - timeout: Optional[Timeout] + timeout: Optional[Timeout] = None mask_authorization_header: Optional[bool] = True diff --git a/api/core/workflow/nodes/http_request/http_request_node.py b/api/core/workflow/nodes/http_request/http_request_node.py index d983a30695e7e5..276c02f62df3e2 100644 --- a/api/core/workflow/nodes/http_request/http_request_node.py +++ b/api/core/workflow/nodes/http_request/http_request_node.py @@ -39,7 +39,7 @@ def get_default_config(cls) -> dict: "type": "none" }, "timeout": { - **HTTP_REQUEST_DEFAULT_TIMEOUT.dict(), + **HTTP_REQUEST_DEFAULT_TIMEOUT.model_dump(), "max_connect_timeout": MAX_CONNECT_TIMEOUT, "max_read_timeout": MAX_READ_TIMEOUT, "max_write_timeout": MAX_WRITE_TIMEOUT, diff --git a/api/core/workflow/nodes/iteration/entities.py b/api/core/workflow/nodes/iteration/entities.py index c85aa66c7b8748..177b47b9518e00 100644 --- a/api/core/workflow/nodes/iteration/entities.py +++ b/api/core/workflow/nodes/iteration/entities.py @@ -7,7 +7,7 @@ class IterationNodeData(BaseIterationNodeData): """ Iteration Node Data. """ - parent_loop_id: Optional[str] # redundant field, not used currently + parent_loop_id: Optional[str] = None # redundant field, not used currently iterator_selector: list[str] # variable selector output_selector: list[str] # output selector diff --git a/api/core/workflow/nodes/knowledge_retrieval/entities.py b/api/core/workflow/nodes/knowledge_retrieval/entities.py index e63e33c7859384..c8874ff22c46e7 100644 --- a/api/core/workflow/nodes/knowledge_retrieval/entities.py +++ b/api/core/workflow/nodes/knowledge_retrieval/entities.py @@ -18,7 +18,7 @@ class MultipleRetrievalConfig(BaseModel): Multiple Retrieval Config. """ top_k: int - score_threshold: Optional[float] + score_threshold: Optional[float] = None reranking_model: RerankingModelConfig @@ -47,5 +47,5 @@ class KnowledgeRetrievalNodeData(BaseNodeData): query_variable_selector: list[str] dataset_ids: list[str] retrieval_mode: Literal['single', 'multiple'] - multiple_retrieval_config: Optional[MultipleRetrievalConfig] - single_retrieval_config: Optional[SingleRetrievalConfig] + multiple_retrieval_config: Optional[MultipleRetrievalConfig] = None + single_retrieval_config: Optional[SingleRetrievalConfig] = None diff --git a/api/core/workflow/nodes/parameter_extractor/entities.py b/api/core/workflow/nodes/parameter_extractor/entities.py index a89a6903ef02bf..83702eae412fbe 100644 --- a/api/core/workflow/nodes/parameter_extractor/entities.py +++ b/api/core/workflow/nodes/parameter_extractor/entities.py @@ -1,6 +1,6 @@ from typing import Any, Literal, Optional -from pydantic import BaseModel, validator +from pydantic import BaseModel, field_validator from core.prompt.entities.advanced_prompt_entities import MemoryConfig from core.workflow.entities.base_node_data_entities import BaseNodeData @@ -21,12 +21,13 @@ class ParameterConfig(BaseModel): """ name: str type: Literal['string', 'number', 'bool', 'select', 'array[string]', 'array[number]', 'array[object]'] - options: Optional[list[str]] + options: Optional[list[str]] = None description: str required: bool - @validator('name', pre=True, always=True) - def validate_name(cls, value): + @classmethod + @field_validator('name', mode='before') + def validate_name(cls, value) -> str: if not value: raise ValueError('Parameter name is required') if value in ['__reason', '__is_success']: @@ -40,12 +41,13 @@ class ParameterExtractorNodeData(BaseNodeData): model: ModelConfig query: list[str] parameters: list[ParameterConfig] - instruction: Optional[str] - memory: Optional[MemoryConfig] + instruction: Optional[str] = None + memory: Optional[MemoryConfig] = None reasoning_mode: Literal['function_call', 'prompt'] - @validator('reasoning_mode', pre=True, always=True) - def set_reasoning_mode(cls, v): + @classmethod + @field_validator('reasoning_mode', mode='before') + def set_reasoning_mode(cls, v) -> str: return v or 'function_call' def get_parameter_json_schema(self) -> dict: diff --git a/api/core/workflow/nodes/question_classifier/entities.py b/api/core/workflow/nodes/question_classifier/entities.py index 9e660a88ddbec0..c0b0a8b6968ead 100644 --- a/api/core/workflow/nodes/question_classifier/entities.py +++ b/api/core/workflow/nodes/question_classifier/entities.py @@ -32,5 +32,5 @@ class QuestionClassifierNodeData(BaseNodeData): type: str = 'question-classifier' model: ModelConfig classes: list[ClassConfig] - instruction: Optional[str] - memory: Optional[MemoryConfig] + instruction: Optional[str] = None + memory: Optional[MemoryConfig] = None diff --git a/api/core/workflow/nodes/tool/entities.py b/api/core/workflow/nodes/tool/entities.py index 98b28ac4f1a290..72825d7cc3dcd4 100644 --- a/api/core/workflow/nodes/tool/entities.py +++ b/api/core/workflow/nodes/tool/entities.py @@ -1,6 +1,7 @@ from typing import Any, Literal, Union -from pydantic import BaseModel, validator +from pydantic import BaseModel, field_validator +from pydantic_core.core_schema import ValidationInfo from core.workflow.entities.base_node_data_entities import BaseNodeData @@ -13,13 +14,14 @@ class ToolEntity(BaseModel): tool_label: str # redundancy tool_configurations: dict[str, Any] - @validator('tool_configurations', pre=True, always=True) - def validate_tool_configurations(cls, value, values): + @classmethod + @field_validator('tool_configurations', mode='before') + def validate_tool_configurations(cls, value, values: ValidationInfo) -> dict[str, Any]: if not isinstance(value, dict): raise ValueError('tool_configurations must be a dictionary') - for key in values.get('tool_configurations', {}).keys(): - value = values.get('tool_configurations', {}).get(key) + for key in values.data.get('tool_configurations', {}).keys(): + value = values.data.get('tool_configurations', {}).get(key) if not isinstance(value, str | int | float | bool): raise ValueError(f'{key} must be a string') @@ -30,10 +32,11 @@ class ToolInput(BaseModel): value: Union[Any, list[str]] type: Literal['mixed', 'variable', 'constant'] - @validator('type', pre=True, always=True) - def check_type(cls, value, values): + @classmethod + @field_validator('type', mode='before') + def check_type(cls, value, validation_info: ValidationInfo): typ = value - value = values.get('value') + value = validation_info.data.get('value') if typ == 'mixed' and not isinstance(value, str): raise ValueError('value must be a string') elif typ == 'variable': @@ -45,7 +48,7 @@ def check_type(cls, value, values): elif typ == 'constant' and not isinstance(value, str | int | float | bool): raise ValueError('value must be a string, int, float, or bool') return typ - + """ Tool Node Schema """ diff --git a/api/core/workflow/nodes/variable_aggregator/entities.py b/api/core/workflow/nodes/variable_aggregator/entities.py index d38e934451bb06..cea88334b90738 100644 --- a/api/core/workflow/nodes/variable_aggregator/entities.py +++ b/api/core/workflow/nodes/variable_aggregator/entities.py @@ -30,4 +30,4 @@ class VariableAssignerNodeData(BaseNodeData): type: str = 'variable-assigner' output_type: str variables: list[list[str]] - advanced_settings: Optional[AdvancedSettings] \ No newline at end of file + advanced_settings: Optional[AdvancedSettings] = None \ No newline at end of file diff --git a/api/core/workflow/workflow_engine_manager.py b/api/core/workflow/workflow_engine_manager.py index afd19abfde579c..22deafb8a37997 100644 --- a/api/core/workflow/workflow_engine_manager.py +++ b/api/core/workflow/workflow_engine_manager.py @@ -592,7 +592,7 @@ def _workflow_iteration_started(self, graph: dict, node_data=current_iteration_node.node_data, inputs=workflow_run_state.current_iteration_state.inputs, predecessor_node_id=predecessor_node_id, - metadata=workflow_run_state.current_iteration_state.metadata.dict() + metadata=workflow_run_state.current_iteration_state.metadata.model_dump() ) # add steps diff --git a/api/events/event_handlers/deduct_quota_when_messaeg_created.py b/api/events/event_handlers/deduct_quota_when_messaeg_created.py index 53cbb2ecdc96ce..8cf52bf8f5d0b8 100644 --- a/api/events/event_handlers/deduct_quota_when_messaeg_created.py +++ b/api/events/event_handlers/deduct_quota_when_messaeg_created.py @@ -13,7 +13,7 @@ def handle(sender, **kwargs): if not isinstance(application_generate_entity, ChatAppGenerateEntity | AgentChatAppGenerateEntity): return - model_config = application_generate_entity.model_config + model_config = application_generate_entity.model_conf provider_model_bundle = model_config.provider_model_bundle provider_configuration = provider_model_bundle.configuration diff --git a/api/events/event_handlers/update_provider_last_used_at_when_messaeg_created.py b/api/events/event_handlers/update_provider_last_used_at_when_messaeg_created.py index 81cb86118082b9..6188f1a0850ac4 100644 --- a/api/events/event_handlers/update_provider_last_used_at_when_messaeg_created.py +++ b/api/events/event_handlers/update_provider_last_used_at_when_messaeg_created.py @@ -16,6 +16,6 @@ def handle(sender, **kwargs): db.session.query(Provider).filter( Provider.tenant_id == application_generate_entity.app_config.tenant_id, - Provider.provider_name == application_generate_entity.model_config.provider + Provider.provider_name == application_generate_entity.model_conf.provider ).update({'last_used': datetime.now(timezone.utc).replace(tzinfo=None)}) db.session.commit() diff --git a/api/poetry.lock b/api/poetry.lock index 0beb7da768d794..4114166bd24d17 100644 --- a/api/poetry.lock +++ b/api/poetry.lock @@ -199,6 +199,17 @@ files = [ [package.extras] dev = ["black", "coverage", "isort", 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"~0.8.0" pgvecto-rs = "0.1.4" firecrawl-py = "0.0.5" oss2 = "2.18.5" diff --git a/api/requirements.txt b/api/requirements.txt index f17f56aca39356..c0f6b2a8249887 100644 --- a/api/requirements.txt +++ b/api/requirements.txt @@ -75,7 +75,9 @@ qrcode~=7.4.2 azure-storage-blob==12.13.0 azure-identity==1.15.0 lxml==5.1.0 -pydantic~=1.10.0 +pydantic~=2.7.3 +pydantic_extra_types~=2.8.0 +bump-pydantic~=0.8.0 pgvecto-rs==0.1.4 firecrawl-py==0.0.5 oss2==2.18.5 diff --git a/api/services/entities/model_provider_entities.py b/api/services/entities/model_provider_entities.py index 77bb5e08c32839..853172ea13f219 100644 --- a/api/services/entities/model_provider_entities.py +++ b/api/services/entities/model_provider_entities.py @@ -2,7 +2,7 @@ from typing import Optional from flask import current_app -from pydantic import BaseModel +from pydantic import BaseModel, ConfigDict from core.entities.model_entities import ModelWithProviderEntity, ProviderModelWithStatusEntity from core.entities.provider_entities import QuotaConfiguration @@ -61,6 +61,9 @@ class ProviderResponse(BaseModel): custom_configuration: CustomConfigurationResponse system_configuration: SystemConfigurationResponse + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) + def __init__(self, **data) -> None: super().__init__(**data) @@ -139,6 +142,9 @@ class DefaultModelResponse(BaseModel): model_type: ModelType provider: SimpleProviderEntityResponse + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) + class ModelWithProviderEntityResponse(ModelWithProviderEntity): """ @@ -147,4 +153,4 @@ class ModelWithProviderEntityResponse(ModelWithProviderEntity): provider: SimpleProviderEntityResponse def __init__(self, model: ModelWithProviderEntity) -> None: - super().__init__(**model.dict()) + super().__init__(**model.model_dump()) diff --git a/api/services/feature_service.py b/api/services/feature_service.py index 36cbc3902b3631..07d1448bf22911 100644 --- a/api/services/feature_service.py +++ b/api/services/feature_service.py @@ -1,5 +1,5 @@ from flask import current_app -from pydantic import BaseModel +from pydantic import BaseModel, ConfigDict from services.billing_service import BillingService from services.enterprise.enterprise_service import EnterpriseService @@ -31,6 +31,9 @@ class FeatureModel(BaseModel): can_replace_logo: bool = False model_load_balancing_enabled: bool = False + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) + class SystemFeatureModel(BaseModel): sso_enforced_for_signin: bool = False diff --git a/api/tests/unit_tests/core/rag/datasource/vdb/milvus/test_milvus.py b/api/tests/unit_tests/core/rag/datasource/vdb/milvus/test_milvus.py index 9abc07fae55fa6..9e43b23658f41a 100644 --- a/api/tests/unit_tests/core/rag/datasource/vdb/milvus/test_milvus.py +++ b/api/tests/unit_tests/core/rag/datasource/vdb/milvus/test_milvus.py @@ -17,7 +17,7 @@ def test_default_value(): del config[key] with pytest.raises(ValidationError) as e: MilvusConfig(**config) - assert e.value.errors()[1]['msg'] == f'config MILVUS_{key.upper()} is required' + assert e.value.errors()[0]['msg'] == f'Value error, config MILVUS_{key.upper()} is required' config = MilvusConfig(**valid_config) assert config.secure is False From f13af5a811dac818c077c5d396d6e2b96879f9db Mon Sep 17 00:00:00 2001 From: "Pan, Wen-Ming" Date: Fri, 14 Jun 2024 01:34:31 +0800 Subject: [PATCH 50/70] fix(model_providers/vertex_ai): Vertex AI Anthropic models authentication failed (#4971) --- .../model_providers/vertex_ai/llm/llm.py | 42 ++++++++++++------- 1 file changed, 27 insertions(+), 15 deletions(-) diff --git a/api/core/model_runtime/model_providers/vertex_ai/llm/llm.py b/api/core/model_runtime/model_providers/vertex_ai/llm/llm.py index 0d6dd8d982375c..bb3255e04bdbb1 100644 --- a/api/core/model_runtime/model_providers/vertex_ai/llm/llm.py +++ b/api/core/model_runtime/model_providers/vertex_ai/llm/llm.py @@ -5,6 +5,7 @@ from typing import Optional, Union, cast import google.api_core.exceptions as exceptions +import google.auth.transport.requests import vertexai.generative_models as glm from anthropic import AnthropicVertex, Stream from anthropic.types import ( @@ -44,15 +45,6 @@ logger = logging.getLogger(__name__) -GEMINI_BLOCK_MODE_PROMPT = """You should always follow the instructions and output a valid {{block}} object. -The structure of the {{block}} object you can found in the instructions, use {"answer": "$your_answer"} as the default structure -if you are not sure about the structure. - - -{{instructions}} - -""" - class VertexAiLargeLanguageModel(LargeLanguageModel): @@ -95,17 +87,37 @@ def _generate_anthropic(self, model: str, credentials: dict, prompt_messages: li """ # use Anthropic official SDK references # - https://github.com/anthropics/anthropic-sdk-python + service_account_info = json.loads(base64.b64decode(credentials["vertex_service_account_key"])) project_id = credentials["vertex_project_id"] + SCOPES = ["https://www.googleapis.com/auth/cloud-platform"] + token = '' + # get access token from service account credential + if service_account_info: + credentials = service_account.Credentials.from_service_account_info(service_account_info, scopes=SCOPES) + request = google.auth.transport.requests.Request() + credentials.refresh(request) + token = credentials.token + + # Vertex AI Anthropic Claude3 Opus model avaiable in us-east5 region, Sonnet and Haiku avaiable in us-central1 region if 'opus' in model: location = 'us-east5' else: location = 'us-central1' - - client = AnthropicVertex( - region=location, - project_id=project_id - ) + + # use access token to authenticate + if token: + client = AnthropicVertex( + region=location, + project_id=project_id, + access_token=token + ) + # When access token is empty, try to use the Google Cloud VM's built-in service account or the GOOGLE_APPLICATION_CREDENTIALS environment variable + else: + client = AnthropicVertex( + region=location, + project_id=project_id, + ) extra_model_kwargs = {} if stop: @@ -462,7 +474,7 @@ def _generate(self, model: str, credentials: dict, aiplatform.init(project=project_id, location=location) history = [] - system_instruction = GEMINI_BLOCK_MODE_PROMPT + system_instruction = "" # hack for gemini-pro-vision, which currently does not support multi-turn chat if model == "gemini-1.0-pro-vision-001": last_msg = prompt_messages[-1] From 5ec7d8562949d20e7439775effc1f45914c4699a Mon Sep 17 00:00:00 2001 From: takatost Date: Fri, 14 Jun 2024 02:28:28 +0800 Subject: [PATCH 51/70] fix: issues by pydantic2 upgrade (#5171) --- api/core/entities/provider_entities.py | 3 + api/core/tools/entities/api_entities.py | 4 +- .../provider/builtin/aippt/tools/aippt.py | 4 +- .../builtin/bing/tools/bing_web_search.yaml | 2 +- .../duckduckgo/tools/duckduckgo_search.py | 174 ------------------ .../builtin/firecrawl/tools/crawl.yaml | 6 +- .../builtin/searchapi/tools/google.yaml | 2 +- .../builtin/searchapi/tools/google_jobs.yaml | 6 +- .../builtin/searchapi/tools/google_news.yaml | 2 +- .../builtin/stackexchange/stackexchange.yaml | 2 +- .../tools/searchStackExQuestions.yaml | 6 +- .../builtin/tavily/tools/tavily_search.yaml | 18 +- .../builtin/webscraper/tools/webscraper.yaml | 6 +- api/core/tools/tool/tool.py | 20 +- .../tools/builtin_tools_manage_service.py | 43 +++-- api/services/tools/tools_transform_service.py | 4 +- 16 files changed, 68 insertions(+), 234 deletions(-) delete mode 100644 api/core/tools/provider/builtin/duckduckgo/tools/duckduckgo_search.py diff --git a/api/core/entities/provider_entities.py b/api/core/entities/provider_entities.py index 23f0b9cb3b367c..0d5b0a1b2c6ba6 100644 --- a/api/core/entities/provider_entities.py +++ b/api/core/entities/provider_entities.py @@ -97,3 +97,6 @@ class ModelSettings(BaseModel): model_type: ModelType enabled: bool = True load_balancing_configs: list[ModelLoadBalancingConfiguration] = [] + + # pydantic configs + model_config = ConfigDict(protected_namespaces=()) diff --git a/api/core/tools/entities/api_entities.py b/api/core/tools/entities/api_entities.py index da12996b2bd6d1..2b01b8fd8e89c9 100644 --- a/api/core/tools/entities/api_entities.py +++ b/api/core/tools/entities/api_entities.py @@ -28,8 +28,8 @@ class UserToolProvider(BaseModel): icon: str label: I18nObject # label type: ToolProviderType - masked_credentials: dict = None - original_credentials: dict = None + masked_credentials: Optional[dict] = None + original_credentials: Optional[dict] = None is_team_authorization: bool = False allow_delete: bool = True tools: list[UserTool] = None diff --git a/api/core/tools/provider/builtin/aippt/tools/aippt.py b/api/core/tools/provider/builtin/aippt/tools/aippt.py index 518eb732c2348c..8d6883a3b114ac 100644 --- a/api/core/tools/provider/builtin/aippt/tools/aippt.py +++ b/api/core/tools/provider/builtin/aippt/tools/aippt.py @@ -507,9 +507,9 @@ def get_runtime_parameters(self) -> list[ToolParameter]: colors, styles = self.get_styles(user_id='__dify_system__') except Exception as e: colors, styles = [ - {'id': -1, 'name': '__default__', 'en_name': '__default__'} + {'id': '-1', 'name': '__default__', 'en_name': '__default__'} ], [ - {'id': -1, 'name': '__default__', 'en_name': '__default__'} + {'id': '-1', 'name': '__default__', 'en_name': '__default__'} ] return [ diff --git a/api/core/tools/provider/builtin/bing/tools/bing_web_search.yaml b/api/core/tools/provider/builtin/bing/tools/bing_web_search.yaml index 6bf64efb999f56..a3f60bb09b6509 100644 --- a/api/core/tools/provider/builtin/bing/tools/bing_web_search.yaml +++ b/api/core/tools/provider/builtin/bing/tools/bing_web_search.yaml @@ -263,7 +263,7 @@ parameters: en_US: New Zealand zh_Hans: 新西兰 pt_BR: New Zealand - - value: NO + - value: 'NO' label: en_US: Norway zh_Hans: 挪威 diff --git a/api/core/tools/provider/builtin/duckduckgo/tools/duckduckgo_search.py b/api/core/tools/provider/builtin/duckduckgo/tools/duckduckgo_search.py deleted file mode 100644 index 5beaa7bf44aaf5..00000000000000 --- a/api/core/tools/provider/builtin/duckduckgo/tools/duckduckgo_search.py +++ /dev/null @@ -1,174 +0,0 @@ -<<<<<<< HEAD -======= -from typing import Any, Optional - -from pydantic import BaseModel, Field - -from core.tools.entities.tool_entities import ToolInvokeMessage -from core.tools.tool.builtin_tool import BuiltinTool - - -class DuckDuckGoSearchAPIWrapper(BaseModel): - """Wrapper for DuckDuckGo Search API. - - Free and does not require any setup. - """ - - region: Optional[str] = "wt-wt" - safesearch: str = "moderate" - time: Optional[str] = "y" - max_results: int = 5 - - def get_snippets(self, query: str) -> list[str]: - """Run query through DuckDuckGo and return concatenated results.""" - from duckduckgo_search import DDGS - - with DDGS() as ddgs: - results = ddgs.text( - query, - region=self.region, - safesearch=self.safesearch, - timelimit=self.time, - ) - if results is None: - return ["No good DuckDuckGo Search Result was found"] - snippets = [] - for i, res in enumerate(results, 1): - if res is not None: - snippets.append(res["body"]) - if len(snippets) == self.max_results: - break - return snippets - - def run(self, query: str) -> str: - snippets = self.get_snippets(query) - return " ".join(snippets) - - def results( - self, query: str, num_results: int, backend: str = "api" - ) -> list[dict[str, str]]: - """Run query through DuckDuckGo and return metadata. - - Args: - query: The query to search for. - num_results: The number of results to return. - - Returns: - A list of dictionaries with the following keys: - snippet - The description of the result. - title - The title of the result. - link - The link to the result. - """ - from duckduckgo_search import DDGS - - with DDGS() as ddgs: - results = ddgs.text( - query, - region=self.region, - safesearch=self.safesearch, - timelimit=self.time, - backend=backend, - ) - if results is None: - return [{"Result": "No good DuckDuckGo Search Result was found"}] - - def to_metadata(result: dict) -> dict[str, str]: - if backend == "news": - return { - "date": result["date"], - "title": result["title"], - "snippet": result["body"], - "source": result["source"], - "link": result["url"], - } - return { - "snippet": result["body"], - "title": result["title"], - "link": result["href"], - } - - formatted_results = [] - for i, res in enumerate(results, 1): - if res is not None: - formatted_results.append(to_metadata(res)) - if len(formatted_results) == num_results: - break - return formatted_results - - -class DuckDuckGoSearchRun(BaseModel): - """Tool that queries the DuckDuckGo search API.""" - - name: str = "duckduckgo_search" - description: str = ( - "A wrapper around DuckDuckGo Search. " - "Useful for when you need to answer questions about current events. " - "Input should be a search query." - ) - api_wrapper: DuckDuckGoSearchAPIWrapper = Field( - default_factory=DuckDuckGoSearchAPIWrapper - ) - - def _run( - self, - query: str, - ) -> str: - """Use the tool.""" - return self.api_wrapper.run(query) - - -class DuckDuckGoSearchResults(BaseModel): - """Tool that queries the DuckDuckGo search API and gets back json.""" - - name: str = "DuckDuckGo Results JSON" - description: str = ( - "A wrapper around Duck Duck Go Search. " - "Useful for when you need to answer questions about current events. " - "Input should be a search query. Output is a JSON array of the query results" - ) - num_results: int = 4 - api_wrapper: DuckDuckGoSearchAPIWrapper = Field( - default_factory=DuckDuckGoSearchAPIWrapper - ) - backend: str = "api" - - def _run( - self, - query: str, - ) -> str: - """Use the tool.""" - res = self.api_wrapper.results(query, self.num_results, backend=self.backend) - res_strs = [", ".join([f"{k}: {v}" for k, v in d.items()]) for d in res] - return ", ".join([f"[{rs}]" for rs in res_strs]) - -class DuckDuckGoInput(BaseModel): - query: str = Field(..., description="Search query.") - -class DuckDuckGoSearchTool(BuiltinTool): - """ - Tool for performing a search using DuckDuckGo search engine. - """ - - def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]: - """ - Invoke the DuckDuckGo search tool. - - Args: - user_id (str): The ID of the user invoking the tool. - tool_parameters (dict[str, Any]): The parameters for the tool invocation. - - Returns: - ToolInvokeMessage | list[ToolInvokeMessage]: The result of the tool invocation. - """ - query = tool_parameters.get('query', '') - - if not query: - return self.create_text_message('Please input query') - - tool = DuckDuckGoSearchRun(args_schema=DuckDuckGoInput) - - result = tool._run(query) - - return self.create_text_message(self.summary(user_id=user_id, content=result)) - ->>>>>>> 4c2ba442b (missing type in DuckDuckGoSearchAPIWrapper) diff --git a/api/core/tools/provider/builtin/firecrawl/tools/crawl.yaml b/api/core/tools/provider/builtin/firecrawl/tools/crawl.yaml index 5f6ba955b8b84f..386167014043cb 100644 --- a/api/core/tools/provider/builtin/firecrawl/tools/crawl.yaml +++ b/api/core/tools/provider/builtin/firecrawl/tools/crawl.yaml @@ -67,12 +67,12 @@ parameters: zh_Hans: 如果启用，爬虫将仅返回页面的主要内容，不包括标题、导航、页脚等。 form: form options: - - value: true + - value: 'true' label: en_US: 'Yes' zh_Hans: 是 - - value: false + - value: 'false' label: en_US: 'No' zh_Hans: 否 - default: false + default: 'false' diff --git a/api/core/tools/provider/builtin/searchapi/tools/google.yaml b/api/core/tools/provider/builtin/searchapi/tools/google.yaml index eab753e5e895c9..b69a0e1d3e706b 100644 --- a/api/core/tools/provider/builtin/searchapi/tools/google.yaml +++ b/api/core/tools/provider/builtin/searchapi/tools/google.yaml @@ -185,7 +185,7 @@ parameters: en_US: New Zealand zh_Hans: 新西兰 pt_BR: New Zealand - - value: NO + - value: 'NO' label: en_US: Norway zh_Hans: 挪威 diff --git a/api/core/tools/provider/builtin/searchapi/tools/google_jobs.yaml b/api/core/tools/provider/builtin/searchapi/tools/google_jobs.yaml index 73026d7c41bd60..9033bc0f8784cc 100644 --- a/api/core/tools/provider/builtin/searchapi/tools/google_jobs.yaml +++ b/api/core/tools/provider/builtin/searchapi/tools/google_jobs.yaml @@ -185,7 +185,7 @@ parameters: en_US: New Zealand zh_Hans: 新西兰 pt_BR: New Zealand - - value: NO + - value: 'NO' label: en_US: Norway zh_Hans: 挪威 @@ -468,11 +468,11 @@ parameters: required: false form: form options: - - value: true + - value: 'true' label: en_US: "true" zh_Hans: "true" - - value: false + - value: 'false' label: en_US: "false" zh_Hans: "false" diff --git a/api/core/tools/provider/builtin/searchapi/tools/google_news.yaml b/api/core/tools/provider/builtin/searchapi/tools/google_news.yaml index 719cf6119becb8..cbb0edf9829595 100644 --- a/api/core/tools/provider/builtin/searchapi/tools/google_news.yaml +++ b/api/core/tools/provider/builtin/searchapi/tools/google_news.yaml @@ -185,7 +185,7 @@ parameters: en_US: New Zealand zh_Hans: 新西兰 pt_BR: New Zealand - - value: NO + - value: 'NO' label: en_US: Norway zh_Hans: 挪威 diff --git a/api/core/tools/provider/builtin/stackexchange/stackexchange.yaml b/api/core/tools/provider/builtin/stackexchange/stackexchange.yaml index ad64b9595a8759..d382a3cca9cef2 100644 --- a/api/core/tools/provider/builtin/stackexchange/stackexchange.yaml +++ b/api/core/tools/provider/builtin/stackexchange/stackexchange.yaml @@ -6,7 +6,7 @@ identity: zh_Hans: Stack Exchange description: en_US: Access questions and answers from the Stack Exchange and its sub-sites. - zh_Hans: 从Stack Exchange和其子论坛获取问题和答案。 + zh_Hans: 从 Stack Exchange 和其子论坛获取问题和答案。 icon: icon.svg tags: - search diff --git a/api/core/tools/provider/builtin/stackexchange/tools/searchStackExQuestions.yaml b/api/core/tools/provider/builtin/stackexchange/tools/searchStackExQuestions.yaml index ec36abd1296b8b..bbfbae38b06e1a 100644 --- a/api/core/tools/provider/builtin/stackexchange/tools/searchStackExQuestions.yaml +++ b/api/core/tools/provider/builtin/stackexchange/tools/searchStackExQuestions.yaml @@ -96,15 +96,15 @@ parameters: zh_Hans: 是否限制为只有已接受答案的问题。 form: form options: - - value: true + - value: 'true' label: en_US: 'Yes' zh_Hans: 是 - - value: false + - value: 'false' label: en_US: 'No' zh_Hans: 否 - default: true + default: 'true' - name: pagesize type: number required: true diff --git a/api/core/tools/provider/builtin/tavily/tools/tavily_search.yaml b/api/core/tools/provider/builtin/tavily/tools/tavily_search.yaml index bfa578458d44d2..88426056afb353 100644 --- a/api/core/tools/provider/builtin/tavily/tools/tavily_search.yaml +++ b/api/core/tools/provider/builtin/tavily/tools/tavily_search.yaml @@ -62,17 +62,17 @@ parameters: pt_BR: Include images in the search results form: form options: - - value: true + - value: 'true' label: en_US: 'Yes' zh_Hans: 是 pt_BR: 'Yes' - - value: false + - value: 'false' label: en_US: 'No' zh_Hans: 否 pt_BR: 'No' - default: false + default: 'false' - name: include_answer type: boolean required: false @@ -86,17 +86,17 @@ parameters: pt_BR: Include answers in the search results form: form options: - - value: true + - value: 'true' label: en_US: 'Yes' zh_Hans: 是 pt_BR: 'Yes' - - value: false + - value: 'false' label: en_US: 'No' zh_Hans: 否 pt_BR: 'No' - default: false + default: 'false' - name: include_raw_content type: boolean required: false @@ -110,17 +110,17 @@ parameters: pt_BR: Include raw content in the search results form: form options: - - value: true + - value: 'true' label: en_US: 'Yes' zh_Hans: 是 pt_BR: 'Yes' - - value: false + - value: 'false' label: en_US: 'No' zh_Hans: 否 pt_BR: 'No' - default: false + default: 'false' - name: max_results type: number required: false diff --git a/api/core/tools/provider/builtin/webscraper/tools/webscraper.yaml b/api/core/tools/provider/builtin/webscraper/tools/webscraper.yaml index 0dae3db22f7a5c..0bb48a941dcffe 100644 --- a/api/core/tools/provider/builtin/webscraper/tools/webscraper.yaml +++ b/api/core/tools/provider/builtin/webscraper/tools/webscraper.yaml @@ -49,12 +49,12 @@ parameters: zh_Hans: 如果启用，爬虫将仅返回页面摘要内容。 form: form options: - - value: true + - value: 'true' label: en_US: 'Yes' zh_Hans: 是 - - value: false + - value: 'false' label: en_US: 'No' zh_Hans: 否 - default: false + default: 'false' diff --git a/api/core/tools/tool/tool.py b/api/core/tools/tool/tool.py index df5a2a1e6693d7..37432a6116d1be 100644 --- a/api/core/tools/tool/tool.py +++ b/api/core/tools/tool/tool.py @@ -24,9 +24,9 @@ class Tool(BaseModel, ABC): - identity: ToolIdentity = None + identity: Optional[ToolIdentity] = None parameters: Optional[list[ToolParameter]] = None - description: ToolDescription = None + description: Optional[ToolDescription] = None is_team_authorization: bool = False # pydantic configs @@ -46,15 +46,15 @@ def __init__(self, **data: Any): if not self.runtime_parameters: self.runtime_parameters = {} - tenant_id: str = None - tool_id: str = None - invoke_from: InvokeFrom = None - tool_invoke_from: ToolInvokeFrom = None - credentials: dict[str, Any] = None - runtime_parameters: dict[str, Any] = None + tenant_id: Optional[str] = None + tool_id: Optional[str] = None + invoke_from: Optional[InvokeFrom] = None + tool_invoke_from: Optional[ToolInvokeFrom] = None + credentials: Optional[dict[str, Any]] = None + runtime_parameters: Optional[dict[str, Any]] = None - runtime: Runtime = None - variables: ToolRuntimeVariablePool = None + runtime: Optional[Runtime] = None + variables: Optional[ToolRuntimeVariablePool] = None def __init__(self, **data: Any): super().__init__(**data) diff --git a/api/services/tools/builtin_tools_manage_service.py b/api/services/tools/builtin_tools_manage_service.py index 2503191b63c0b6..ea6ecf0c6985f5 100644 --- a/api/services/tools/builtin_tools_manage_service.py +++ b/api/services/tools/builtin_tools_manage_service.py @@ -201,26 +201,29 @@ def list_builtin_tools( result: list[UserToolProvider] = [] for provider_controller in provider_controllers: - # convert provider controller to user provider - user_builtin_provider = ToolTransformService.builtin_provider_to_user_provider( - provider_controller=provider_controller, - db_provider=find_provider(provider_controller.identity.name), - decrypt_credentials=True - ) - - # add icon - ToolTransformService.repack_provider(user_builtin_provider) - - tools = provider_controller.get_tools() - for tool in tools: - user_builtin_provider.tools.append(ToolTransformService.tool_to_user_tool( - tenant_id=tenant_id, - tool=tool, - credentials=user_builtin_provider.original_credentials, - labels=ToolLabelManager.get_tool_labels(provider_controller) - )) - - result.append(user_builtin_provider) + try: + # convert provider controller to user provider + user_builtin_provider = ToolTransformService.builtin_provider_to_user_provider( + provider_controller=provider_controller, + db_provider=find_provider(provider_controller.identity.name), + decrypt_credentials=True + ) + + # add icon + ToolTransformService.repack_provider(user_builtin_provider) + + tools = provider_controller.get_tools() + for tool in tools: + user_builtin_provider.tools.append(ToolTransformService.tool_to_user_tool( + tenant_id=tenant_id, + tool=tool, + credentials=user_builtin_provider.original_credentials, + labels=ToolLabelManager.get_tool_labels(provider_controller) + )) + + result.append(user_builtin_provider) + except Exception as e: + raise e return BuiltinToolProviderSort.sort(result) \ No newline at end of file diff --git a/api/services/tools/tools_transform_service.py b/api/services/tools/tools_transform_service.py index ba8c20d79b0fba..5c777324689341 100644 --- a/api/services/tools/tools_transform_service.py +++ b/api/services/tools/tools_transform_service.py @@ -4,8 +4,8 @@ from flask import current_app -from core.model_runtime.entities.common_entities import I18nObject from core.tools.entities.api_entities import UserTool, UserToolProvider +from core.tools.entities.common_entities import I18nObject from core.tools.entities.tool_bundle import ApiToolBundle from core.tools.entities.tool_entities import ( ApiProviderAuthType, @@ -81,11 +81,13 @@ def builtin_provider_to_user_provider( description=I18nObject( en_US=provider_controller.identity.description.en_US, zh_Hans=provider_controller.identity.description.zh_Hans, + pt_BR=provider_controller.identity.description.pt_BR, ), icon=provider_controller.identity.icon, label=I18nObject( en_US=provider_controller.identity.label.en_US, zh_Hans=provider_controller.identity.label.zh_Hans, + pt_BR=provider_controller.identity.label.pt_BR, ), type=ToolProviderType.BUILT_IN, masked_credentials={}, From b85ae146a7fa42542c639c6a94692972ac7e36ca Mon Sep 17 00:00:00 2001 From: rerorero Date: Fri, 14 Jun 2024 03:32:09 +0900 Subject: [PATCH 52/70] fix: JSON mode with an image doesn't work for Gemini (#5169) --- .../model_providers/__base/large_language_model.py | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/api/core/model_runtime/model_providers/__base/large_language_model.py b/api/core/model_runtime/model_providers/__base/large_language_model.py index f148625954952f..ef633c61cd01da 100644 --- a/api/core/model_runtime/model_providers/__base/large_language_model.py +++ b/api/core/model_runtime/model_providers/__base/large_language_model.py @@ -14,6 +14,7 @@ from core.model_runtime.entities.message_entities import ( AssistantPromptMessage, PromptMessage, + PromptMessageContentType, PromptMessageTool, SystemPromptMessage, UserPromptMessage, @@ -205,8 +206,14 @@ def _code_block_mode_wrapper(self, model: str, credentials: dict, prompt_message )) if len(prompt_messages) > 0 and isinstance(prompt_messages[-1], UserPromptMessage): - # add ```JSON\n to the last message - prompt_messages[-1].content += f"\n```{code_block}\n" + # add ```JSON\n to the last text message + if isinstance(prompt_messages[-1].content, str): + prompt_messages[-1].content += f"\n```{code_block}\n" + elif isinstance(prompt_messages[-1].content, list): + for i in range(len(prompt_messages[-1].content) - 1, -1, -1): + if prompt_messages[-1].content[i].type == PromptMessageContentType.TEXT: + prompt_messages[-1].content[i].data += f"\n```{code_block}\n" + break else: # append a user message prompt_messages.append(UserPromptMessage( From edf2047f04aaec04a4ca01a264346ace0a49a3b1 Mon Sep 17 00:00:00 2001 From: "saga.rey" Date: Fri, 14 Jun 2024 02:36:01 +0800 Subject: [PATCH 53/70] fix: milvus_vector default dataset index_struct type from weaviate to milvus (#5098) --- api/core/rag/datasource/vdb/milvus/milvus_vector.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/api/core/rag/datasource/vdb/milvus/milvus_vector.py b/api/core/rag/datasource/vdb/milvus/milvus_vector.py index 830836c854a205..665a697e1ab265 100644 --- a/api/core/rag/datasource/vdb/milvus/milvus_vector.py +++ b/api/core/rag/datasource/vdb/milvus/milvus_vector.py @@ -279,7 +279,7 @@ def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings dataset_id = dataset.id collection_name = Dataset.gen_collection_name_by_id(dataset_id) dataset.index_struct = json.dumps( - self.gen_index_struct_dict(VectorType.WEAVIATE, collection_name)) + self.gen_index_struct_dict(VectorType.MILVUS, collection_name)) config = current_app.config return MilvusVector( From 415022aa1486ead1383b483dc6ddfed842ae214f Mon Sep 17 00:00:00 2001 From: takatost Date: Fri, 14 Jun 2024 03:05:04 +0800 Subject: [PATCH 54/70] fix: pydantic2 error (#5172) --- api/core/app/apps/agent_chat/app_generator.py | 2 +- api/core/app/apps/chat/app_generator.py | 2 +- api/core/app/apps/completion/app_generator.py | 4 ++-- api/core/model_runtime/model_providers/google/llm/llm.py | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/api/core/app/apps/agent_chat/app_generator.py b/api/core/app/apps/agent_chat/app_generator.py index fb4c28a8555d3c..407fb931ecb9bd 100644 --- a/api/core/app/apps/agent_chat/app_generator.py +++ b/api/core/app/apps/agent_chat/app_generator.py @@ -107,7 +107,7 @@ def generate(self, app_model: App, application_generate_entity = AgentChatAppGenerateEntity( task_id=str(uuid.uuid4()), app_config=app_config, - model_config=ModelConfigConverter.convert(app_config), + model_conf=ModelConfigConverter.convert(app_config), conversation_id=conversation.id if conversation else None, inputs=conversation.inputs if conversation else self._get_cleaned_inputs(inputs, app_config), query=query, diff --git a/api/core/app/apps/chat/app_generator.py b/api/core/app/apps/chat/app_generator.py index 4ad26e850674f5..505ada09db5c90 100644 --- a/api/core/app/apps/chat/app_generator.py +++ b/api/core/app/apps/chat/app_generator.py @@ -104,7 +104,7 @@ def generate(self, app_model: App, application_generate_entity = ChatAppGenerateEntity( task_id=str(uuid.uuid4()), app_config=app_config, - model_config=ModelConfigConverter.convert(app_config), + model_conf=ModelConfigConverter.convert(app_config), conversation_id=conversation.id if conversation else None, inputs=conversation.inputs if conversation else self._get_cleaned_inputs(inputs, app_config), query=query, diff --git a/api/core/app/apps/completion/app_generator.py b/api/core/app/apps/completion/app_generator.py index 31ce4d70b6790d..52d907b5353143 100644 --- a/api/core/app/apps/completion/app_generator.py +++ b/api/core/app/apps/completion/app_generator.py @@ -98,7 +98,7 @@ def generate(self, app_model: App, application_generate_entity = CompletionAppGenerateEntity( task_id=str(uuid.uuid4()), app_config=app_config, - model_config=ModelConfigConverter.convert(app_config), + model_conf=ModelConfigConverter.convert(app_config), inputs=self._get_cleaned_inputs(inputs, app_config), query=query, files=file_objs, @@ -257,7 +257,7 @@ def generate_more_like_this(self, app_model: App, application_generate_entity = CompletionAppGenerateEntity( task_id=str(uuid.uuid4()), app_config=app_config, - model_config=ModelConfigConverter.convert(app_config), + model_conf=ModelConfigConverter.convert(app_config), inputs=message.inputs, query=message.query, files=file_objs, diff --git a/api/core/model_runtime/model_providers/google/llm/llm.py b/api/core/model_runtime/model_providers/google/llm/llm.py index 2dfde70816eeee..c934c54634de6d 100644 --- a/api/core/model_runtime/model_providers/google/llm/llm.py +++ b/api/core/model_runtime/model_providers/google/llm/llm.py @@ -313,7 +313,7 @@ def _handle_generate_stream_response(self, model: str, credentials: dict, respon delta=LLMResultChunkDelta( index=index, message=assistant_prompt_message, - finish_reason=chunk.candidates[0].finish_reason, + finish_reason=str(chunk.candidates[0].finish_reason), usage=usage ) ) From 7189a4c379106fdfe4017b355dbdd4d80d7ae3d3 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Fri, 14 Jun 2024 03:24:32 +0800 Subject: [PATCH 55/70] chore(deps): bump azure-identity from 1.15.0 to 1.16.1 in /api (#5116) Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: takatost --- api/poetry.lock | 18 +++++++++--------- api/pyproject.toml | 2 +- api/requirements.txt | 2 +- 3 files changed, 11 insertions(+), 11 deletions(-) diff --git a/api/poetry.lock b/api/poetry.lock index 4114166bd24d17..c630bdae59924e 100644 --- a/api/poetry.lock +++ b/api/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. [[package]] name = "aiohttp" @@ -410,20 +410,20 @@ aio = ["aiohttp (>=3.0)"] [[package]] name = "azure-identity" -version = "1.15.0" +version = "1.16.1" description = "Microsoft Azure Identity Library for Python" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "azure-identity-1.15.0.tar.gz", hash = "sha256:4c28fc246b7f9265610eb5261d65931183d019a23d4b0e99357facb2e6c227c8"}, - {file = "azure_identity-1.15.0-py3-none-any.whl", hash = "sha256:a14b1f01c7036f11f148f22cd8c16e05035293d714458d6b44ddf534d93eb912"}, + {file = "azure-identity-1.16.1.tar.gz", hash = "sha256:6d93f04468f240d59246d8afde3091494a5040d4f141cad0f49fc0c399d0d91e"}, + {file = "azure_identity-1.16.1-py3-none-any.whl", hash = "sha256:8fb07c25642cd4ac422559a8b50d3e77f73dcc2bbfaba419d06d6c9d7cff6726"}, ] [package.dependencies] -azure-core = ">=1.23.0,<2.0.0" +azure-core = ">=1.23.0" cryptography = ">=2.5" -msal = ">=1.24.0,<2.0.0" -msal-extensions = ">=0.3.0,<2.0.0" +msal = ">=1.24.0" +msal-extensions = ">=0.3.0" [[package]] name = "azure-storage-blob" @@ -8935,4 +8935,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = "^3.10" -content-hash = "6845b0f3a5b5be84d32a9a79f23d389d1502cc70f5530becb313fa8b2268448f" +content-hash = "e2ce8246ee3113b7c7d080ef52e0998ab71ffe76dbe85b324803ed4e369882c4" diff --git a/api/pyproject.toml b/api/pyproject.toml index a5ee32bdee3a9e..277b1e703c7f3e 100644 --- a/api/pyproject.toml +++ b/api/pyproject.toml @@ -164,7 +164,7 @@ yarl = "~1.9.4" twilio = "~9.0.4" qrcode = "~7.4.2" azure-storage-blob = "12.13.0" -azure-identity = "1.15.0" +azure-identity = "1.16.1" lxml = "5.1.0" xlrd = "~2.0.1" pydantic = "~2.7.3" diff --git a/api/requirements.txt b/api/requirements.txt index c0f6b2a8249887..8aeb41c868bd6d 100644 --- a/api/requirements.txt +++ b/api/requirements.txt @@ -73,7 +73,7 @@ yarl~=1.9.4 twilio~=9.0.4 qrcode~=7.4.2 azure-storage-blob==12.13.0 -azure-identity==1.15.0 +azure-identity==1.16.1 lxml==5.1.0 pydantic~=2.7.3 pydantic_extra_types~=2.8.0 From 7f98c2ea3fec1670bd23ad0b956d082553ccba03 Mon Sep 17 00:00:00 2001 From: Summer-Gu <37869445+gubinjie@users.noreply.github.com> Date: Fri, 14 Jun 2024 03:25:38 +0800 Subject: [PATCH 56/70] refactor: Delete the dataset to verify whether it is in use (#5112) --- api/controllers/console/datasets/datasets.py | 13 ++++++++----- api/controllers/console/datasets/error.py | 6 ++++++ api/controllers/service_api/dataset/dataset.py | 13 ++++++++----- api/controllers/service_api/dataset/error.py | 6 ++++++ api/services/dataset_service.py | 6 ++++-- api/services/errors/dataset.py | 4 ++++ 6 files changed, 36 insertions(+), 12 deletions(-) diff --git a/api/controllers/console/datasets/datasets.py b/api/controllers/console/datasets/datasets.py index 6cbe454d37e755..c014fd67468742 100644 --- a/api/controllers/console/datasets/datasets.py +++ b/api/controllers/console/datasets/datasets.py @@ -8,7 +8,7 @@ from controllers.console import api from controllers.console.apikey import api_key_fields, api_key_list from controllers.console.app.error import ProviderNotInitializeError -from controllers.console.datasets.error import DatasetNameDuplicateError +from controllers.console.datasets.error import DatasetInUseError, DatasetNameDuplicateError from controllers.console.setup import setup_required from controllers.console.wraps import account_initialization_required from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError @@ -217,10 +217,13 @@ def delete(self, dataset_id): if not current_user.is_admin_or_owner: raise Forbidden() - if DatasetService.delete_dataset(dataset_id_str, current_user): - return {'result': 'success'}, 204 - else: - raise NotFound("Dataset not found.") + try: + if DatasetService.delete_dataset(dataset_id_str, current_user): + return {'result': 'success'}, 204 + else: + raise NotFound("Dataset not found.") + except services.errors.dataset.DatasetInUseError: + raise DatasetInUseError() class DatasetQueryApi(Resource): diff --git a/api/controllers/console/datasets/error.py b/api/controllers/console/datasets/error.py index 29142b80e627f3..e77693b6c9495c 100644 --- a/api/controllers/console/datasets/error.py +++ b/api/controllers/console/datasets/error.py @@ -71,3 +71,9 @@ class InvalidMetadataError(BaseHTTPException): error_code = 'invalid_metadata' description = "The metadata content is incorrect. Please check and verify." code = 400 + + +class DatasetInUseError(BaseHTTPException): + error_code = 'dataset_in_use' + description = "The dataset is being used by some apps. Please remove the dataset from the apps before deleting it." + code = 409 diff --git a/api/controllers/service_api/dataset/dataset.py b/api/controllers/service_api/dataset/dataset.py index dcbfa88d99487d..8dd16c0787cbca 100644 --- a/api/controllers/service_api/dataset/dataset.py +++ b/api/controllers/service_api/dataset/dataset.py @@ -4,7 +4,7 @@ import services.dataset_service from controllers.service_api import api -from controllers.service_api.dataset.error import DatasetNameDuplicateError +from controllers.service_api.dataset.error import DatasetInUseError, DatasetNameDuplicateError from controllers.service_api.wraps import DatasetApiResource from core.model_runtime.entities.model_entities import ModelType from core.provider_manager import ProviderManager @@ -113,10 +113,13 @@ def delete(self, _, dataset_id): dataset_id_str = str(dataset_id) - if DatasetService.delete_dataset(dataset_id_str, current_user): - return {'result': 'success'}, 204 - else: - raise NotFound("Dataset not found.") + try: + if DatasetService.delete_dataset(dataset_id_str, current_user): + return {'result': 'success'}, 204 + else: + raise NotFound("Dataset not found.") + except services.errors.dataset.DatasetInUseError: + raise DatasetInUseError() api.add_resource(DatasetListApi, '/datasets') api.add_resource(DatasetApi, '/datasets/') diff --git a/api/controllers/service_api/dataset/error.py b/api/controllers/service_api/dataset/error.py index 29142b80e627f3..e77693b6c9495c 100644 --- a/api/controllers/service_api/dataset/error.py +++ b/api/controllers/service_api/dataset/error.py @@ -71,3 +71,9 @@ class InvalidMetadataError(BaseHTTPException): error_code = 'invalid_metadata' description = "The metadata content is incorrect. Please check and verify." code = 400 + + +class DatasetInUseError(BaseHTTPException): + error_code = 'dataset_in_use' + description = "The dataset is being used by some apps. Please remove the dataset from the apps before deleting it." + code = 409 diff --git a/api/services/dataset_service.py b/api/services/dataset_service.py index 06d3e9ec403795..97a6f5d103f324 100644 --- a/api/services/dataset_service.py +++ b/api/services/dataset_service.py @@ -33,7 +33,7 @@ from models.model import UploadFile from models.source import DataSourceBinding from services.errors.account import NoPermissionError -from services.errors.dataset import DatasetNameDuplicateError +from services.errors.dataset import DatasetInUseError, DatasetNameDuplicateError from services.errors.document import DocumentIndexingError from services.errors.file import FileNotExistsError from services.feature_service import FeatureModel, FeatureService @@ -232,7 +232,9 @@ def update_dataset(dataset_id, data, user): @staticmethod def delete_dataset(dataset_id, user): - # todo: cannot delete dataset if it is being processed + count = AppDatasetJoin.query.filter_by(dataset_id=dataset_id).count() + if count > 0: + raise DatasetInUseError() dataset = DatasetService.get_dataset(dataset_id) diff --git a/api/services/errors/dataset.py b/api/services/errors/dataset.py index 254a70ffe313dd..d36cd1111c78f8 100644 --- a/api/services/errors/dataset.py +++ b/api/services/errors/dataset.py @@ -3,3 +3,7 @@ class DatasetNameDuplicateError(BaseServiceError): pass + + +class DatasetInUseError(BaseServiceError): + pass From 54e02b8147fbcddf950494f32f3a6db3f3b3a74b Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Fri, 14 Jun 2024 03:55:40 +0800 Subject: [PATCH 57/70] chore(deps): bump authlib from 1.2.0 to 1.3.1 in /api (#5115) Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: takatost --- api/poetry.lock | 12 ++++++------ api/pyproject.toml | 2 +- api/requirements.txt | 2 +- 3 files changed, 8 insertions(+), 8 deletions(-) diff --git a/api/poetry.lock b/api/poetry.lock index c630bdae59924e..8fabdc7f7d8f64 100644 --- a/api/poetry.lock +++ b/api/poetry.lock @@ -377,17 +377,17 @@ tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "p [[package]] name = "authlib" -version = "1.2.0" +version = "1.3.1" description = "The ultimate Python library in building OAuth and OpenID Connect servers and clients." optional = false -python-versions = "*" +python-versions = ">=3.8" files = [ - {file = "Authlib-1.2.0-py2.py3-none-any.whl", hash = "sha256:4ddf4fd6cfa75c9a460b361d4bd9dac71ffda0be879dbe4292a02e92349ad55a"}, - {file = "Authlib-1.2.0.tar.gz", hash = "sha256:4fa3e80883a5915ef9f5bc28630564bc4ed5b5af39812a3ff130ec76bd631e9d"}, + {file = "Authlib-1.3.1-py2.py3-none-any.whl", hash = "sha256:d35800b973099bbadc49b42b256ecb80041ad56b7fe1216a362c7943c088f377"}, + {file = "authlib-1.3.1.tar.gz", hash = "sha256:7ae843f03c06c5c0debd63c9db91f9fda64fa62a42a77419fa15fbb7e7a58917"}, ] [package.dependencies] -cryptography = ">=3.2" +cryptography = "*" [[package]] name = "azure-core" @@ -8935,4 +8935,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = "^3.10" -content-hash = "e2ce8246ee3113b7c7d080ef52e0998ab71ffe76dbe85b324803ed4e369882c4" +content-hash = "a8683613366c50518046395d46bcad094748176d285b409120445c2dbf09967b" diff --git a/api/pyproject.toml b/api/pyproject.toml index 277b1e703c7f3e..9f361ca6e58aac 100644 --- a/api/pyproject.toml +++ b/api/pyproject.toml @@ -105,7 +105,7 @@ tiktoken = "~0.7.0" psycopg2-binary = "~2.9.6" pycryptodome = "3.19.1" python-dotenv = "1.0.0" -authlib = "1.2.0" +authlib = "1.3.1" boto3 = "1.28.17" cachetools = "~5.3.0" weaviate-client = "~3.21.0" diff --git a/api/requirements.txt b/api/requirements.txt index 8aeb41c868bd6d..c883bd1e54e71f 100644 --- a/api/requirements.txt +++ b/api/requirements.txt @@ -14,7 +14,7 @@ tiktoken~=0.7.0 psycopg2-binary~=2.9.6 pycryptodome==3.19.1 python-dotenv==1.0.0 -Authlib==1.2.0 +Authlib==1.3.1 boto3==1.34.123 cachetools~=5.3.0 weaviate-client~=3.21.0 From 4289f17be229aa1541ea43f84ce99547a7066252 Mon Sep 17 00:00:00 2001 From: KVOJJJin Date: Fri, 14 Jun 2024 08:42:41 +0800 Subject: [PATCH 58/70] Chore: refactor embedded chatbot (#5125) --- .../(shareLayout)/chatbot/[token]/page.tsx | 4 +- .../app/chat/icon-component/index.tsx | 4 +- web/app/components/base/app-unavailable.tsx | 6 +- .../base/chat/chat-with-history/index.tsx | 18 +- .../chat/embedded-chatbot/chat-wrapper.tsx | 135 ++++++++ .../config-panel/form-input.tsx | 46 +++ .../embedded-chatbot/config-panel/form.tsx | 83 +++++ .../embedded-chatbot/config-panel/index.tsx | 168 ++++++++++ .../base/chat/embedded-chatbot/context.tsx | 64 ++++ .../base/chat/embedded-chatbot/header.tsx | 58 ++++ .../base/chat/embedded-chatbot/hooks.tsx | 293 ++++++++++++++++++ .../base/chat/embedded-chatbot/index.tsx | 181 +++++++++++ .../base/chat/embedded-chatbot/utils.ts | 3 + web/app/components/share/chat/index.tsx | 4 +- web/app/components/share/chatbot/index.tsx | 4 +- 15 files changed, 1051 insertions(+), 20 deletions(-) create mode 100644 web/app/components/base/chat/embedded-chatbot/chat-wrapper.tsx create mode 100644 web/app/components/base/chat/embedded-chatbot/config-panel/form-input.tsx create mode 100644 web/app/components/base/chat/embedded-chatbot/config-panel/form.tsx create mode 100644 web/app/components/base/chat/embedded-chatbot/config-panel/index.tsx create mode 100644 web/app/components/base/chat/embedded-chatbot/context.tsx create mode 100644 web/app/components/base/chat/embedded-chatbot/header.tsx create mode 100644 web/app/components/base/chat/embedded-chatbot/hooks.tsx create mode 100644 web/app/components/base/chat/embedded-chatbot/index.tsx create mode 100644 web/app/components/base/chat/embedded-chatbot/utils.ts diff --git a/web/app/(shareLayout)/chatbot/[token]/page.tsx b/web/app/(shareLayout)/chatbot/[token]/page.tsx index 0dc7b071699a57..b78680c503eca4 100644 --- a/web/app/(shareLayout)/chatbot/[token]/page.tsx +++ b/web/app/(shareLayout)/chatbot/[token]/page.tsx @@ -3,7 +3,7 @@ import type { FC } from 'react' import React, { useEffect } from 'react' import cn from 'classnames' import type { IMainProps } from '@/app/components/share/chat' -import Main from '@/app/components/share/chatbot' +import EmbeddedChatbot from '@/app/components/base/chat/embedded-chatbot' import Loading from '@/app/components/base/loading' import { fetchSystemFeatures } from '@/service/share' import LogoSite from '@/app/components/base/logo/logo-site' @@ -77,7 +77,7 @@ const Chatbot: FC = () => {
) - :
+ : } )} diff --git a/web/app/components/app/chat/icon-component/index.tsx b/web/app/components/app/chat/icon-component/index.tsx index f5d17a80b1c370..c35fb77855fb62 100644 --- a/web/app/components/app/chat/icon-component/index.tsx +++ b/web/app/components/app/chat/icon-component/index.tsx @@ -37,7 +37,7 @@ export const TryToAskIcon = ( ) export const ReplayIcon = ({ className }: SVGProps) => ( - - + + ) diff --git a/web/app/components/base/app-unavailable.tsx b/web/app/components/base/app-unavailable.tsx index 57cf9727fc69f3..c5ea7be0b9c114 100644 --- a/web/app/components/base/app-unavailable.tsx +++ b/web/app/components/base/app-unavailable.tsx @@ -5,13 +5,13 @@ import { useTranslation } from 'react-i18next' type IAppUnavailableProps = { code?: number - isUnknwonReason?: boolean + isUnknownReason?: boolean unknownReason?: string } const AppUnavailable: FC = ({ code = 404, - isUnknwonReason, + isUnknownReason, unknownReason, }) => { const { t } = useTranslation() @@ -22,7 +22,7 @@ const AppUnavailable: FC = ({ style={{ borderRight: '1px solid rgba(0,0,0,.3)', }}>{code} -
{unknownReason || (isUnknwonReason ? t('share.common.appUnkonwError') : t('share.common.appUnavailable'))}
+
{unknownReason || (isUnknownReason ? t('share.common.appUnkonwError') : t('share.common.appUnavailable'))}
) } diff --git a/web/app/components/base/chat/chat-with-history/index.tsx b/web/app/components/base/chat/chat-with-history/index.tsx index f51620b151f9eb..b02091231ddb0a 100644 --- a/web/app/components/base/chat/chat-with-history/index.tsx +++ b/web/app/components/base/chat/chat-with-history/index.tsx @@ -181,12 +181,12 @@ const ChatWithHistoryWrapWithCheckToken: FC = ({ installedAppInfo, className, }) => { - const [inited, setInited] = useState(false) + const [initialized, setInitialized] = useState(false) const [appUnavailable, setAppUnavailable] = useState(false) - const [isUnknwonReason, setIsUnknwonReason] = useState(false) + const [isUnknownReason, setIsUnknownReason] = useState(false) useAsyncEffect(async () => { - if (!inited) { + if (!initialized) { if (!installedAppInfo) { try { await checkOrSetAccessToken() @@ -196,21 +196,21 @@ const ChatWithHistoryWrapWithCheckToken: FC = ({ setAppUnavailable(true) } else { - setIsUnknwonReason(true) + setIsUnknownReason(true) setAppUnavailable(true) } } } - setInited(true) + setInitialized(true) } }, []) - if (appUnavailable) - return - - if (!inited) + if (!initialized) return null + if (appUnavailable) + return + return ( { + const { + appParams, + appPrevChatList, + currentConversationId, + currentConversationItem, + inputsForms, + newConversationInputs, + handleNewConversationCompleted, + isMobile, + isInstalledApp, + appId, + appMeta, + handleFeedback, + currentChatInstanceRef, + } = useEmbeddedChatbotContext() + const appConfig = useMemo(() => { + const config = appParams || {} + + return { + ...config, + supportFeedback: true, + opening_statement: currentConversationId ? currentConversationItem?.introduction : (config as any).opening_statement, + } as ChatConfig + }, [appParams, currentConversationItem?.introduction, currentConversationId]) + const { + chatList, + handleSend, + handleStop, + isResponding, + suggestedQuestions, + } = useChat( + appConfig, + { + inputs: (currentConversationId ? currentConversationItem?.inputs : newConversationInputs) as any, + promptVariables: inputsForms, + }, + appPrevChatList, + taskId => stopChatMessageResponding('', taskId, isInstalledApp, appId), + ) + + useEffect(() => { + if (currentChatInstanceRef.current) + currentChatInstanceRef.current.handleStop = handleStop + }, []) + + const doSend: OnSend = useCallback((message, files) => { + const data: any = { + query: message, + inputs: currentConversationId ? currentConversationItem?.inputs : newConversationInputs, + conversation_id: currentConversationId, + } + + if (appConfig?.file_upload?.image.enabled && files?.length) + data.files = files + + handleSend( + getUrl('chat-messages', isInstalledApp, appId || ''), + data, + { + onGetSuggestedQuestions: responseItemId => fetchSuggestedQuestions(responseItemId, isInstalledApp, appId), + onConversationComplete: currentConversationId ? undefined : handleNewConversationCompleted, + isPublicAPI: !isInstalledApp, + }, + ) + }, [ + appConfig, + currentConversationId, + currentConversationItem, + handleSend, + newConversationInputs, + handleNewConversationCompleted, + isInstalledApp, + appId, + ]) + const chatNode = useMemo(() => { + if (inputsForms.length) { + return ( + <> + {!currentConversationId && ( +
+
+ +
+
+ )} + + ) + } + + return
+ }, [currentConversationId, inputsForms, isMobile]) + + return ( + : null} + hideProcessDetail + /> + ) +} + +export default ChatWrapper diff --git a/web/app/components/base/chat/embedded-chatbot/config-panel/form-input.tsx b/web/app/components/base/chat/embedded-chatbot/config-panel/form-input.tsx new file mode 100644 index 00000000000000..c163e9409c97a4 --- /dev/null +++ b/web/app/components/base/chat/embedded-chatbot/config-panel/form-input.tsx @@ -0,0 +1,46 @@ +import type { FC } from 'react' +import { useTranslation } from 'react-i18next' +import { memo } from 'react' + +type InputProps = { + form: any + value: string + onChange: (variable: string, value: string) => void +} +const FormInput: FC = ({ + form, + value, + onChange, +}) => { + const { t } = useTranslation() + const { + type, + label, + required, + max_length, + variable, + } = form + + if (type === 'paragraph') { + return ( +