From 5c7b1358d49c8df54bc39eea7b9c4d9b41c09fcb Mon Sep 17 00:00:00 2001 From: -LAN- Date: Mon, 14 Oct 2024 17:21:58 +0800 Subject: [PATCH 01/30] chore(release): bump version to 0.9.2 (#9314) --- api/configs/packaging/__init__.py | 2 +- docker-legacy/docker-compose.yaml | 6 +++--- docker/docker-compose.yaml | 6 +++--- web/package.json | 2 +- 4 files changed, 8 insertions(+), 8 deletions(-) diff --git a/api/configs/packaging/__init__.py b/api/configs/packaging/__init__.py index c311a989b418cd..c832fb671e5af6 100644 --- a/api/configs/packaging/__init__.py +++ b/api/configs/packaging/__init__.py @@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings): CURRENT_VERSION: str = Field( description="Dify version", - default="0.9.1", + default="0.9.2", ) COMMIT_SHA: str = Field( diff --git a/docker-legacy/docker-compose.yaml b/docker-legacy/docker-compose.yaml index 3f230b47ab9f10..273f95b4284dd7 100644 --- a/docker-legacy/docker-compose.yaml +++ b/docker-legacy/docker-compose.yaml @@ -2,7 +2,7 @@ version: '3' services: # API service api: - image: langgenius/dify-api:0.9.1 + image: langgenius/dify-api:0.9.2 restart: always environment: # Startup mode, 'api' starts the API server. @@ -227,7 +227,7 @@ services: # worker service # The Celery worker for processing the queue. worker: - image: langgenius/dify-api:0.9.1 + image: langgenius/dify-api:0.9.2 restart: always environment: CONSOLE_WEB_URL: '' @@ -396,7 +396,7 @@ services: # Frontend web application. web: - image: langgenius/dify-web:0.9.1 + image: langgenius/dify-web:0.9.2 restart: always environment: # The base URL of console application api server, refers to the Console base URL of WEB service if console domain is diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml index 5db11d1961ce00..6c3331aadc5f0b 100644 --- a/docker/docker-compose.yaml +++ b/docker/docker-compose.yaml @@ -227,7 +227,7 @@ x-shared-env: &shared-api-worker-env services: # API service api: - image: langgenius/dify-api:0.9.1 + image: langgenius/dify-api:0.9.2 restart: always environment: # Use the shared environment variables. @@ -247,7 +247,7 @@ services: # worker service # The Celery worker for processing the queue. worker: - image: langgenius/dify-api:0.9.1 + image: langgenius/dify-api:0.9.2 restart: always environment: # Use the shared environment variables. @@ -266,7 +266,7 @@ services: # Frontend web application. web: - image: langgenius/dify-web:0.9.1 + image: langgenius/dify-web:0.9.2 restart: always environment: CONSOLE_API_URL: ${CONSOLE_API_URL:-} diff --git a/web/package.json b/web/package.json index 8a17997fe963cd..9707b9753feafc 100644 --- a/web/package.json +++ b/web/package.json @@ -1,6 +1,6 @@ { "name": "dify-web", - "version": "0.9.1", + "version": "0.9.2", "private": true, "engines": { "node": ">=18.17.0" From 8501af298fbf89dc9146c3a65bb7f3d518dc786d Mon Sep 17 00:00:00 2001 From: Summer-Gu <37869445+gubinjie@users.noreply.github.com> Date: Mon, 14 Oct 2024 17:26:04 +0800 Subject: [PATCH 02/30] feat: added dataset recall testing API (#9300) --- .../console/datasets/hit_testing.py | 78 +--------- .../console/datasets/hit_testing_base.py | 85 ++++++++++ api/controllers/service_api/__init__.py | 3 +- .../service_api/dataset/hit_testing.py | 17 ++ .../datasets/template/template.en.mdx | 145 +++++++++++++++++ .../datasets/template/template.zh.mdx | 146 ++++++++++++++++++ 6 files changed, 401 insertions(+), 73 deletions(-) create mode 100644 api/controllers/console/datasets/hit_testing_base.py create mode 100644 api/controllers/service_api/dataset/hit_testing.py diff --git a/api/controllers/console/datasets/hit_testing.py b/api/controllers/console/datasets/hit_testing.py index 6e6d8c0bd76f23..5c9bcef84c4f83 100644 --- a/api/controllers/console/datasets/hit_testing.py +++ b/api/controllers/console/datasets/hit_testing.py @@ -1,88 +1,24 @@ -import logging +from flask_restful import Resource -from flask_login import current_user -from flask_restful import Resource, marshal, reqparse -from werkzeug.exceptions import Forbidden, InternalServerError, NotFound - -import services from controllers.console import api -from controllers.console.app.error import ( - CompletionRequestError, - ProviderModelCurrentlyNotSupportError, - ProviderNotInitializeError, - ProviderQuotaExceededError, -) -from controllers.console.datasets.error import DatasetNotInitializedError +from controllers.console.datasets.hit_testing_base import DatasetsHitTestingBase from controllers.console.setup import setup_required from controllers.console.wraps import account_initialization_required -from core.errors.error import ( - LLMBadRequestError, - ModelCurrentlyNotSupportError, - ProviderTokenNotInitError, - QuotaExceededError, -) -from core.model_runtime.errors.invoke import InvokeError -from fields.hit_testing_fields import hit_testing_record_fields from libs.login import login_required -from services.dataset_service import DatasetService -from services.hit_testing_service import HitTestingService -class HitTestingApi(Resource): +class HitTestingApi(Resource, DatasetsHitTestingBase): @setup_required @login_required @account_initialization_required def post(self, dataset_id): dataset_id_str = str(dataset_id) - dataset = DatasetService.get_dataset(dataset_id_str) - if dataset is None: - raise NotFound("Dataset not found.") - - try: - DatasetService.check_dataset_permission(dataset, current_user) - except services.errors.account.NoPermissionError as e: - raise Forbidden(str(e)) - - parser = reqparse.RequestParser() - parser.add_argument("query", type=str, location="json") - parser.add_argument("retrieval_model", type=dict, required=False, location="json") - parser.add_argument("external_retrieval_model", type=dict, required=False, location="json") - args = parser.parse_args() - - HitTestingService.hit_testing_args_check(args) - - try: - response = HitTestingService.retrieve( - dataset=dataset, - query=args["query"], - account=current_user, - retrieval_model=args["retrieval_model"], - external_retrieval_model=args["external_retrieval_model"], - limit=10, - ) + dataset = self.get_and_validate_dataset(dataset_id_str) + args = self.parse_args() + self.hit_testing_args_check(args) - return {"query": response["query"], "records": marshal(response["records"], hit_testing_record_fields)} - except services.errors.index.IndexNotInitializedError: - raise DatasetNotInitializedError() - except ProviderTokenNotInitError as ex: - raise ProviderNotInitializeError(ex.description) - except QuotaExceededError: - raise ProviderQuotaExceededError() - except ModelCurrentlyNotSupportError: - raise ProviderModelCurrentlyNotSupportError() - except LLMBadRequestError: - raise ProviderNotInitializeError( - "No Embedding Model or Reranking Model available. Please configure a valid provider " - "in the Settings -> Model Provider." - ) - except InvokeError as e: - raise CompletionRequestError(e.description) - except ValueError as e: - raise ValueError(str(e)) - except Exception as e: - logging.exception("Hit testing failed.") - raise InternalServerError(str(e)) + return self.perform_hit_testing(dataset, args) api.add_resource(HitTestingApi, "/datasets//hit-testing") diff --git a/api/controllers/console/datasets/hit_testing_base.py b/api/controllers/console/datasets/hit_testing_base.py new file mode 100644 index 00000000000000..3b4c07686361d0 --- /dev/null +++ b/api/controllers/console/datasets/hit_testing_base.py @@ -0,0 +1,85 @@ +import logging + +from flask_login import current_user +from flask_restful import marshal, reqparse +from werkzeug.exceptions import Forbidden, InternalServerError, NotFound + +import services.dataset_service +from controllers.console.app.error import ( + CompletionRequestError, + ProviderModelCurrentlyNotSupportError, + ProviderNotInitializeError, + ProviderQuotaExceededError, +) +from controllers.console.datasets.error import DatasetNotInitializedError +from core.errors.error import ( + LLMBadRequestError, + ModelCurrentlyNotSupportError, + ProviderTokenNotInitError, + QuotaExceededError, +) +from core.model_runtime.errors.invoke import InvokeError +from fields.hit_testing_fields import hit_testing_record_fields +from services.dataset_service import DatasetService +from services.hit_testing_service import HitTestingService + + +class DatasetsHitTestingBase: + @staticmethod + def get_and_validate_dataset(dataset_id: str): + dataset = DatasetService.get_dataset(dataset_id) + if dataset is None: + raise NotFound("Dataset not found.") + + try: + DatasetService.check_dataset_permission(dataset, current_user) + except services.errors.account.NoPermissionError as e: + raise Forbidden(str(e)) + + return dataset + + @staticmethod + def hit_testing_args_check(args): + HitTestingService.hit_testing_args_check(args) + + @staticmethod + def parse_args(): + parser = reqparse.RequestParser() + + parser.add_argument("query", type=str, location="json") + parser.add_argument("retrieval_model", type=dict, required=False, location="json") + parser.add_argument("external_retrieval_model", type=dict, required=False, location="json") + return parser.parse_args() + + @staticmethod + def perform_hit_testing(dataset, args): + try: + response = HitTestingService.retrieve( + dataset=dataset, + query=args["query"], + account=current_user, + retrieval_model=args["retrieval_model"], + external_retrieval_model=args["external_retrieval_model"], + limit=10, + ) + return {"query": response["query"], "records": marshal(response["records"], hit_testing_record_fields)} + except services.errors.index.IndexNotInitializedError: + raise DatasetNotInitializedError() + except ProviderTokenNotInitError as ex: + raise ProviderNotInitializeError(ex.description) + except QuotaExceededError: + raise ProviderQuotaExceededError() + except ModelCurrentlyNotSupportError: + raise ProviderModelCurrentlyNotSupportError() + except LLMBadRequestError: + raise ProviderNotInitializeError( + "No Embedding Model or Reranking Model available. Please configure a valid provider " + "in the Settings -> Model Provider." + ) + except InvokeError as e: + raise CompletionRequestError(e.description) + except ValueError as e: + raise ValueError(str(e)) + except Exception as e: + logging.exception("Hit testing failed.") + raise InternalServerError(str(e)) diff --git a/api/controllers/service_api/__init__.py b/api/controllers/service_api/__init__.py index ad39c160ac2669..d6ab96c329f335 100644 --- a/api/controllers/service_api/__init__.py +++ b/api/controllers/service_api/__init__.py @@ -5,7 +5,6 @@ bp = Blueprint("service_api", __name__, url_prefix="/v1") api = ExternalApi(bp) - from . import index from .app import app, audio, completion, conversation, file, message, workflow -from .dataset import dataset, document, segment +from .dataset import dataset, document, hit_testing, segment diff --git a/api/controllers/service_api/dataset/hit_testing.py b/api/controllers/service_api/dataset/hit_testing.py new file mode 100644 index 00000000000000..9c9a4302c99a65 --- /dev/null +++ b/api/controllers/service_api/dataset/hit_testing.py @@ -0,0 +1,17 @@ +from controllers.console.datasets.hit_testing_base import DatasetsHitTestingBase +from controllers.service_api import api +from controllers.service_api.wraps import DatasetApiResource + + +class HitTestingApi(DatasetApiResource, DatasetsHitTestingBase): + def post(self, tenant_id, dataset_id): + dataset_id_str = str(dataset_id) + + dataset = self.get_and_validate_dataset(dataset_id_str) + args = self.parse_args() + self.hit_testing_args_check(args) + + return self.perform_hit_testing(dataset, args) + + +api.add_resource(HitTestingApi, "/datasets//hit-testing") diff --git a/web/app/(commonLayout)/datasets/template/template.en.mdx b/web/app/(commonLayout)/datasets/template/template.en.mdx index 99fab1ed8b77ef..b846f6d9fbf500 100644 --- a/web/app/(commonLayout)/datasets/template/template.en.mdx +++ b/web/app/(commonLayout)/datasets/template/template.en.mdx @@ -1050,6 +1050,151 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from --- + + + + ### Path + + + Dataset ID + + + + ### Request Body + + + retrieval keywordc + + + retrieval keyword(Optional, if not filled, it will be recalled according to the default method) + - search_method (text) Search method: One of the following four keywords is required + - keyword_search Keyword search + - semantic_search Semantic search + - full_text_search Full-text search + - hybrid_search Hybrid search + - reranking_enable (bool) Whether to enable reranking, optional, required if the search mode is semantic_search or hybrid_search + - reranking_mode (object) Rerank model configuration, optional, required if reranking is enabled + - reranking_provider_name (string) Rerank model provider + - reranking_model_name (string) Rerank model name + - weights (double) Semantic search weight setting in hybrid search mode + - top_k (integer) Number of results to return, optional + - score_threshold_enabled (bool) Whether to enable score threshold + - score_threshold (double) Score threshold + + + Unused field + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request POST '${props.apiBaseUrl}/datasets/{dataset_id}/hit_testing' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + --data-raw '{ + "query": "test", + "retrieval_model": { + "search_method": "keyword_search", + "reranking_enable": false, + "reranking_mode": null, + "reranking_model": { + "reranking_provider_name": "", + "reranking_model_name": "" + }, + "weights": null, + "top_k": 2, + "score_threshold_enabled": false, + "score_threshold": null + } + }' + ``` + + + ```json {{ title: 'Response' }} + { + "query": { + "content": "test" + }, + "records": [ + { + "segment": { + "id": "7fa6f24f-8679-48b3-bc9d-bdf28d73f218", + "position": 1, + "document_id": "a8c6c36f-9f5d-4d7a-8472-f5d7b75d71d2", + "content": "Operation guide", + "answer": null, + "word_count": 847, + "tokens": 280, + "keywords": [ + "install", + "java", + "base", + "scripts", + "jdk", + "manual", + "internal", + "opens", + "add", + "vmoptions" + ], + "index_node_id": "39dd8443-d960-45a8-bb46-7275ad7fbc8e", + "index_node_hash": "0189157697b3c6a418ccf8264a09699f25858975578f3467c76d6bfc94df1d73", + "hit_count": 0, + "enabled": true, + "disabled_at": null, + "disabled_by": null, + "status": "completed", + "created_by": "dbcb1ab5-90c8-41a7-8b78-73b235eb6f6f", + "created_at": 1728734540, + "indexing_at": 1728734552, + "completed_at": 1728734584, + "error": null, + "stopped_at": null, + "document": { + "id": "a8c6c36f-9f5d-4d7a-8472-f5d7b75d71d2", + "data_source_type": "upload_file", + "name": "readme.txt", + "doc_type": null + } + }, + "score": 3.730463140527718e-05, + "tsne_position": null + } + ] + } + ``` + + + + +--- + ### Error message diff --git a/web/app/(commonLayout)/datasets/template/template.zh.mdx b/web/app/(commonLayout)/datasets/template/template.zh.mdx index 2f8c7e99dc8540..ece4d3b7717efd 100644 --- a/web/app/(commonLayout)/datasets/template/template.zh.mdx +++ b/web/app/(commonLayout)/datasets/template/template.zh.mdx @@ -1049,6 +1049,152 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from +--- + + + + + ### Path + + + 知识库 ID + + + + ### Request Body + + + 召回关键词 + + + 召回参数(选填,如不填,按照默认方式召回) + - search_method (text) 检索方法:以下三个关键字之一,必填 + - keyword_search 关键字检索 + - semantic_search 语义检索 + - full_text_search 全文检索 + - hybrid_search 混合检索 + - reranking_enable (bool) 是否启用 Reranking,非必填,如果检索模式为semantic_search模式或者hybrid_search则传值 + - reranking_mode (object) Rerank模型配置,非必填,如果启用了 reranking 则传值 + - reranking_provider_name (string) Rerank 模型提供商 + - reranking_model_name (string) Rerank 模型名称 + - weights (double) 混合检索模式下语意检索的权重设置 + - top_k (integer) 返回结果数量,非必填 + - score_threshold_enabled (bool) 是否开启Score阈值 + - score_threshold (double) Score阈值 + + + 未启用字段 + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request POST '${props.apiBaseUrl}/datasets/{dataset_id}/hit_testing' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + --data-raw '{ + "query": "test", + "retrieval_model": { + "search_method": "keyword_search", + "reranking_enable": false, + "reranking_mode": null, + "reranking_model": { + "reranking_provider_name": "", + "reranking_model_name": "" + }, + "weights": null, + "top_k": 2, + "score_threshold_enabled": false, + "score_threshold": null + } + }' + ``` + + + ```json {{ title: 'Response' }} + { + "query": { + "content": "test" + }, + "records": [ + { + "segment": { + "id": "7fa6f24f-8679-48b3-bc9d-bdf28d73f218", + "position": 1, + "document_id": "a8c6c36f-9f5d-4d7a-8472-f5d7b75d71d2", + "content": "Operation guide", + "answer": null, + "word_count": 847, + "tokens": 280, + "keywords": [ + "install", + "java", + "base", + "scripts", + "jdk", + "manual", + "internal", + "opens", + "add", + "vmoptions" + ], + "index_node_id": "39dd8443-d960-45a8-bb46-7275ad7fbc8e", + "index_node_hash": "0189157697b3c6a418ccf8264a09699f25858975578f3467c76d6bfc94df1d73", + "hit_count": 0, + "enabled": true, + "disabled_at": null, + "disabled_by": null, + "status": "completed", + "created_by": "dbcb1ab5-90c8-41a7-8b78-73b235eb6f6f", + "created_at": 1728734540, + "indexing_at": 1728734552, + "completed_at": 1728734584, + "error": null, + "stopped_at": null, + "document": { + "id": "a8c6c36f-9f5d-4d7a-8472-f5d7b75d71d2", + "data_source_type": "upload_file", + "name": "readme.txt", + "doc_type": null + } + }, + "score": 3.730463140527718e-05, + "tsne_position": null + } + ] + } + ``` + + + + + --- From fa47f0c707bc1ae34dfb377126c5f0cf9bd8ac73 Mon Sep 17 00:00:00 2001 From: Hash Brown Date: Mon, 14 Oct 2024 19:13:16 +0800 Subject: [PATCH 03/30] chore: disable chat service API passing `parent_message_id` (#8984) --- api/controllers/service_api/app/completion.py | 2 - .../app/apps/advanced_chat/app_generator.py | 3 +- api/core/app/apps/agent_chat/app_generator.py | 3 +- api/core/app/apps/chat/app_generator.py | 3 +- api/core/app/entities/app_invoke_entities.py | 41 ++++++++++++++----- 5 files changed, 37 insertions(+), 15 deletions(-) diff --git a/api/controllers/service_api/app/completion.py b/api/controllers/service_api/app/completion.py index 5c3601cf236275..8d8e356c4cb940 100644 --- a/api/controllers/service_api/app/completion.py +++ b/api/controllers/service_api/app/completion.py @@ -4,7 +4,6 @@ from werkzeug.exceptions import InternalServerError, NotFound import services -from constants import UUID_NIL from controllers.service_api import api from controllers.service_api.app.error import ( AppUnavailableError, @@ -108,7 +107,6 @@ def post(self, app_model: App, end_user: EndUser): parser.add_argument("conversation_id", type=uuid_value, location="json") parser.add_argument("retriever_from", type=str, required=False, default="dev", location="json") parser.add_argument("auto_generate_name", type=bool, required=False, default=True, location="json") - parser.add_argument("parent_message_id", type=uuid_value, required=False, default=UUID_NIL, location="json") args = parser.parse_args() diff --git a/api/core/app/apps/advanced_chat/app_generator.py b/api/core/app/apps/advanced_chat/app_generator.py index 0d183596f3951a..7fff925f4b10a3 100644 --- a/api/core/app/apps/advanced_chat/app_generator.py +++ b/api/core/app/apps/advanced_chat/app_generator.py @@ -10,6 +10,7 @@ from pydantic import ValidationError import contexts +from constants import UUID_NIL from core.app.app_config.features.file_upload.manager import FileUploadConfigManager from core.app.apps.advanced_chat.app_config_manager import AdvancedChatAppConfigManager from core.app.apps.advanced_chat.app_runner import AdvancedChatAppRunner @@ -122,7 +123,7 @@ def generate( inputs=conversation.inputs if conversation else self._get_cleaned_inputs(inputs, app_config), query=query, files=file_objs, - parent_message_id=args.get("parent_message_id"), + parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL, user_id=user.id, stream=stream, invoke_from=invoke_from, diff --git a/api/core/app/apps/agent_chat/app_generator.py b/api/core/app/apps/agent_chat/app_generator.py index 99abccf4f98402..81c3c765dc882d 100644 --- a/api/core/app/apps/agent_chat/app_generator.py +++ b/api/core/app/apps/agent_chat/app_generator.py @@ -8,6 +8,7 @@ from flask import Flask, current_app from pydantic import ValidationError +from constants import UUID_NIL from core.app.app_config.easy_ui_based_app.model_config.converter import ModelConfigConverter from core.app.app_config.features.file_upload.manager import FileUploadConfigManager from core.app.apps.agent_chat.app_config_manager import AgentChatAppConfigManager @@ -127,7 +128,7 @@ def generate( inputs=conversation.inputs if conversation else self._get_cleaned_inputs(inputs, app_config), query=query, files=file_objs, - parent_message_id=args.get("parent_message_id"), + parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL, user_id=user.id, stream=stream, invoke_from=invoke_from, diff --git a/api/core/app/apps/chat/app_generator.py b/api/core/app/apps/chat/app_generator.py index 9ef1366a0f6689..49b56ecc673b00 100644 --- a/api/core/app/apps/chat/app_generator.py +++ b/api/core/app/apps/chat/app_generator.py @@ -8,6 +8,7 @@ from flask import Flask, current_app from pydantic import ValidationError +from constants import UUID_NIL from core.app.app_config.easy_ui_based_app.model_config.converter import ModelConfigConverter from core.app.app_config.features.file_upload.manager import FileUploadConfigManager from core.app.apps.base_app_queue_manager import AppQueueManager, GenerateTaskStoppedError, PublishFrom @@ -128,7 +129,7 @@ def generate( inputs=conversation.inputs if conversation else self._get_cleaned_inputs(inputs, app_config), query=query, files=file_objs, - parent_message_id=args.get("parent_message_id"), + parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL, user_id=user.id, stream=stream, invoke_from=invoke_from, diff --git a/api/core/app/entities/app_invoke_entities.py b/api/core/app/entities/app_invoke_entities.py index e757c8db7539a2..98685513a3bac1 100644 --- a/api/core/app/entities/app_invoke_entities.py +++ b/api/core/app/entities/app_invoke_entities.py @@ -2,8 +2,9 @@ from enum import Enum from typing import Any, Optional -from pydantic import BaseModel, ConfigDict +from pydantic import BaseModel, ConfigDict, Field, ValidationInfo, field_validator +from constants import UUID_NIL from core.app.app_config.entities import AppConfig, EasyUIBasedAppConfig, WorkflowUIBasedAppConfig from core.entities.provider_configuration import ProviderModelBundle from core.file.file_obj import FileVar @@ -116,13 +117,36 @@ class EasyUIBasedAppGenerateEntity(AppGenerateEntity): model_config = ConfigDict(protected_namespaces=()) -class ChatAppGenerateEntity(EasyUIBasedAppGenerateEntity): +class ConversationAppGenerateEntity(AppGenerateEntity): """ - Chat Application Generate Entity. + Base entity for conversation-based app generation. """ conversation_id: Optional[str] = None - parent_message_id: Optional[str] = None + parent_message_id: Optional[str] = Field( + default=None, + description=( + "Starting from v0.9.0, parent_message_id is used to support message regeneration for internal chat API." + "For service API, we need to ensure its forward compatibility, " + "so passing in the parent_message_id as request arg is not supported for now. " + "It needs to be set to UUID_NIL so that the subsequent processing will treat it as legacy messages." + ), + ) + + @field_validator("parent_message_id") + @classmethod + def validate_parent_message_id(cls, v, info: ValidationInfo): + if info.data.get("invoke_from") == InvokeFrom.SERVICE_API and v != UUID_NIL: + raise ValueError("parent_message_id should be UUID_NIL for service API") + return v + + +class ChatAppGenerateEntity(ConversationAppGenerateEntity, EasyUIBasedAppGenerateEntity): + """ + Chat Application Generate Entity. + """ + + pass class CompletionAppGenerateEntity(EasyUIBasedAppGenerateEntity): @@ -133,16 +157,15 @@ class CompletionAppGenerateEntity(EasyUIBasedAppGenerateEntity): pass -class AgentChatAppGenerateEntity(EasyUIBasedAppGenerateEntity): +class AgentChatAppGenerateEntity(ConversationAppGenerateEntity, EasyUIBasedAppGenerateEntity): """ Agent Chat Application Generate Entity. """ - conversation_id: Optional[str] = None - parent_message_id: Optional[str] = None + pass -class AdvancedChatAppGenerateEntity(AppGenerateEntity): +class AdvancedChatAppGenerateEntity(ConversationAppGenerateEntity): """ Advanced Chat Application Generate Entity. """ @@ -150,8 +173,6 @@ class AdvancedChatAppGenerateEntity(AppGenerateEntity): # app config app_config: WorkflowUIBasedAppConfig - conversation_id: Optional[str] = None - parent_message_id: Optional[str] = None workflow_run_id: Optional[str] = None query: str From a8134a49c4f9a3c4f825d1b79d622a7f4807aade Mon Sep 17 00:00:00 2001 From: Bowen Liang Date: Mon, 14 Oct 2024 22:22:03 +0800 Subject: [PATCH 04/30] fix: poetry installation in CI jobs (#9336) --- .github/workflows/api-tests.yml | 7 +++---- .github/workflows/style.yml | 6 +++--- api/README.md | 1 + 3 files changed, 7 insertions(+), 7 deletions(-) diff --git a/.github/workflows/api-tests.yml b/.github/workflows/api-tests.yml index b1cf41a2261787..e9c2b7b0865f4b 100644 --- a/.github/workflows/api-tests.yml +++ b/.github/workflows/api-tests.yml @@ -27,18 +27,17 @@ 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: 'poetry' cache-dependency-path: | api/pyproject.toml api/poetry.lock + - name: Install Poetry + uses: abatilo/actions-poetry@v3 + - name: Check Poetry lockfile run: | poetry check -C api --lock diff --git a/.github/workflows/style.yml b/.github/workflows/style.yml index 719e6cfe90fb09..246854cf0bfd4c 100644 --- a/.github/workflows/style.yml +++ b/.github/workflows/style.yml @@ -24,15 +24,15 @@ 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' with: python-version: '3.10' + - name: Install Poetry + uses: abatilo/actions-poetry@v3 + - name: Python dependencies if: steps.changed-files.outputs.any_changed == 'true' run: poetry install -C api --only lint diff --git a/api/README.md b/api/README.md index bab33f9293a31c..92cd88a6d4a4c6 100644 --- a/api/README.md +++ b/api/README.md @@ -85,3 +85,4 @@ cd ../ poetry run -C api bash dev/pytest/pytest_all_tests.sh ``` + From aba70207ab2245467bc29a60e6a2ae7663adc703 Mon Sep 17 00:00:00 2001 From: ice yao Date: Mon, 14 Oct 2024 22:50:31 +0800 Subject: [PATCH 05/30] feat: Add fireworks custom llm intergration (#9333) --- .../model_providers/fireworks/fireworks.yaml | 73 +++++++++++++++++++ .../model_providers/fireworks/llm/llm.py | 59 ++++++++++++++- 2 files changed, 131 insertions(+), 1 deletion(-) diff --git a/api/core/model_runtime/model_providers/fireworks/fireworks.yaml b/api/core/model_runtime/model_providers/fireworks/fireworks.yaml index cdb87a55e94660..ddbaa54eb15018 100644 --- a/api/core/model_runtime/model_providers/fireworks/fireworks.yaml +++ b/api/core/model_runtime/model_providers/fireworks/fireworks.yaml @@ -18,6 +18,7 @@ supported_model_types: - text-embedding configurate_methods: - predefined-model + - customizable-model provider_credential_schema: credential_form_schemas: - variable: fireworks_api_key @@ -28,3 +29,75 @@ provider_credential_schema: placeholder: zh_Hans: 在此输入您的 API Key en_US: Enter your API Key +model_credential_schema: + model: + label: + en_US: Model URL + zh_Hans: 模型URL + placeholder: + en_US: Enter your Model URL + zh_Hans: 输入模型URL + credential_form_schemas: + - variable: model_label_zh_Hanns + label: + zh_Hans: 模型中文名称 + en_US: The zh_Hans of Model + required: true + type: text-input + placeholder: + zh_Hans: 在此输入您的模型中文名称 + en_US: Enter your zh_Hans of Model + - variable: model_label_en_US + label: + zh_Hans: 模型英文名称 + en_US: The en_US of Model + required: true + type: text-input + placeholder: + zh_Hans: 在此输入您的模型英文名称 + en_US: Enter your en_US of Model + - variable: fireworks_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 + - variable: context_size + label: + zh_Hans: 模型上下文长度 + en_US: Model context size + required: true + type: text-input + default: '4096' + placeholder: + zh_Hans: 在此输入您的模型上下文长度 + en_US: Enter your Model context size + - variable: max_tokens + label: + zh_Hans: 最大 token 上限 + en_US: Upper bound for max tokens + default: '4096' + type: text-input + show_on: + - variable: __model_type + value: llm + - variable: function_calling_type + label: + en_US: Function calling + type: select + required: false + default: no_call + options: + - value: no_call + label: + en_US: Not Support + zh_Hans: 不支持 + - value: function_call + label: + en_US: Support + zh_Hans: 支持 + show_on: + - variable: __model_type + value: llm diff --git a/api/core/model_runtime/model_providers/fireworks/llm/llm.py b/api/core/model_runtime/model_providers/fireworks/llm/llm.py index 24aad9c4d3366a..ffe1ad5fcbf9ed 100644 --- a/api/core/model_runtime/model_providers/fireworks/llm/llm.py +++ b/api/core/model_runtime/model_providers/fireworks/llm/llm.py @@ -8,7 +8,8 @@ from openai.types.chat.chat_completion_message import FunctionCall from core.model_runtime.callbacks.base_callback import Callback -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta +from core.model_runtime.entities.common_entities import I18nObject +from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta from core.model_runtime.entities.message_entities import ( AssistantPromptMessage, ImagePromptMessageContent, @@ -20,6 +21,15 @@ ToolPromptMessage, UserPromptMessage, ) +from core.model_runtime.entities.model_entities import ( + AIModelEntity, + FetchFrom, + ModelFeature, + ModelPropertyKey, + ModelType, + ParameterRule, + ParameterType, +) from core.model_runtime.errors.validate import CredentialsValidateFailedError from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel from core.model_runtime.model_providers.fireworks._common import _CommonFireworks @@ -608,3 +618,50 @@ def _num_tokens_for_tools(self, tools: list[PromptMessageTool]) -> int: num_tokens += self._get_num_tokens_by_gpt2(required_field) return num_tokens + + def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: + return AIModelEntity( + model=model, + label=I18nObject( + en_US=credentials.get("model_label_en_US", model), + zh_Hans=credentials.get("model_label_zh_Hanns", model), + ), + model_type=ModelType.LLM, + features=[ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL, ModelFeature.STREAM_TOOL_CALL] + if credentials.get("function_calling_type") == "function_call" + else [], + fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, + model_properties={ + ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 4096)), + ModelPropertyKey.MODE: LLMMode.CHAT.value, + }, + parameter_rules=[ + ParameterRule( + name="temperature", + use_template="temperature", + label=I18nObject(en_US="Temperature", zh_Hans="温度"), + type=ParameterType.FLOAT, + ), + ParameterRule( + name="max_tokens", + use_template="max_tokens", + default=512, + min=1, + max=int(credentials.get("max_tokens", 4096)), + label=I18nObject(en_US="Max Tokens", zh_Hans="最大标记"), + type=ParameterType.INT, + ), + ParameterRule( + name="top_p", + use_template="top_p", + label=I18nObject(en_US="Top P", zh_Hans="Top P"), + type=ParameterType.FLOAT, + ), + ParameterRule( + name="top_k", + use_template="top_k", + label=I18nObject(en_US="Top K", zh_Hans="Top K"), + type=ParameterType.FLOAT, + ), + ], + ) From 3f9d6759d4d3c2ae0eb7485704b293d0be8267c3 Mon Sep 17 00:00:00 2001 From: ice yao Date: Mon, 14 Oct 2024 23:15:34 +0800 Subject: [PATCH 06/30] feat: Add qwen2.5 72B Instruct model in Fireworks AI (#9340) --- .../fireworks/llm/qwen2p5-72b-instruct.yaml | 46 +++++++++++++++++++ 1 file changed, 46 insertions(+) create mode 100644 api/core/model_runtime/model_providers/fireworks/llm/qwen2p5-72b-instruct.yaml diff --git a/api/core/model_runtime/model_providers/fireworks/llm/qwen2p5-72b-instruct.yaml b/api/core/model_runtime/model_providers/fireworks/llm/qwen2p5-72b-instruct.yaml new file mode 100644 index 00000000000000..9728364340c518 --- /dev/null +++ b/api/core/model_runtime/model_providers/fireworks/llm/qwen2p5-72b-instruct.yaml @@ -0,0 +1,46 @@ +model: accounts/fireworks/models/qwen2p5-72b-instruct +label: + zh_Hans: Qwen2.5 72B Instruct + en_US: Qwen2.5 72B Instruct +model_type: llm +features: + - agent-thought + - tool-call +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + - name: max_tokens + use_template: max_tokens + - name: context_length_exceeded_behavior + default: None + label: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + help: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + type: string + options: + - None + - truncate + - error + - name: response_format + use_template: response_format +pricing: + input: '0.9' + output: '0.9' + unit: '0.000001' + currency: USD From 5eb00502ec4cf676ffe119b5c9d06794706040e6 Mon Sep 17 00:00:00 2001 From: Bowen Liang Date: Mon, 14 Oct 2024 23:47:58 +0800 Subject: [PATCH 07/30] chore: clean-up unnecessary annotation on configs with non-null default value (#9323) --- api/configs/middleware/vdb/oracle_config.py | 2 +- api/configs/middleware/vdb/pgvector_config.py | 2 +- .../middleware/vdb/pgvectors_config.py | 2 +- api/configs/middleware/vdb/vikingdb_config.py | 36 ++++++++++++------- 4 files changed, 27 insertions(+), 15 deletions(-) diff --git a/api/configs/middleware/vdb/oracle_config.py b/api/configs/middleware/vdb/oracle_config.py index 44e2f133458f13..5d2cf67ba37b34 100644 --- a/api/configs/middleware/vdb/oracle_config.py +++ b/api/configs/middleware/vdb/oracle_config.py @@ -14,7 +14,7 @@ class OracleConfig(BaseSettings): default=None, ) - ORACLE_PORT: Optional[PositiveInt] = Field( + ORACLE_PORT: PositiveInt = Field( description="Port number on which the Oracle database server is listening (default is 1521)", default=1521, ) diff --git a/api/configs/middleware/vdb/pgvector_config.py b/api/configs/middleware/vdb/pgvector_config.py index 85f5dca7e23222..4561a9a7ca9626 100644 --- a/api/configs/middleware/vdb/pgvector_config.py +++ b/api/configs/middleware/vdb/pgvector_config.py @@ -14,7 +14,7 @@ class PGVectorConfig(BaseSettings): default=None, ) - PGVECTOR_PORT: Optional[PositiveInt] = Field( + PGVECTOR_PORT: PositiveInt = Field( description="Port number on which the PostgreSQL server is listening (default is 5433)", default=5433, ) diff --git a/api/configs/middleware/vdb/pgvectors_config.py b/api/configs/middleware/vdb/pgvectors_config.py index 8d7a4b8d255114..fa3bca5bb75bc5 100644 --- a/api/configs/middleware/vdb/pgvectors_config.py +++ b/api/configs/middleware/vdb/pgvectors_config.py @@ -14,7 +14,7 @@ class PGVectoRSConfig(BaseSettings): default=None, ) - PGVECTO_RS_PORT: Optional[PositiveInt] = Field( + PGVECTO_RS_PORT: PositiveInt = Field( description="Port number on which the PostgreSQL server with PGVecto.RS is listening (default is 5431)", default=5431, ) diff --git a/api/configs/middleware/vdb/vikingdb_config.py b/api/configs/middleware/vdb/vikingdb_config.py index 5ad98d898a16e3..3e718481dc7e05 100644 --- a/api/configs/middleware/vdb/vikingdb_config.py +++ b/api/configs/middleware/vdb/vikingdb_config.py @@ -11,27 +11,39 @@ class VikingDBConfig(BaseModel): """ VIKINGDB_ACCESS_KEY: Optional[str] = Field( - default=None, description="The Access Key provided by Volcengine VikingDB for API authentication." + description="The Access Key provided by Volcengine VikingDB for API authentication." + "Refer to the following documentation for details on obtaining credentials:" + "https://www.volcengine.com/docs/6291/65568", + default=None, ) + VIKINGDB_SECRET_KEY: Optional[str] = Field( - default=None, description="The Secret Key provided by Volcengine VikingDB for API authentication." + description="The Secret Key provided by Volcengine VikingDB for API authentication.", + default=None, ) - VIKINGDB_REGION: Optional[str] = Field( - default="cn-shanghai", + + VIKINGDB_REGION: str = Field( description="The region of the Volcengine VikingDB service.(e.g., 'cn-shanghai', 'cn-beijing').", + default="cn-shanghai", ) - VIKINGDB_HOST: Optional[str] = Field( - default="api-vikingdb.mlp.cn-shanghai.volces.com", + + VIKINGDB_HOST: str = Field( description="The host of the Volcengine VikingDB service.(e.g., 'api-vikingdb.volces.com', \ 'api-vikingdb.mlp.cn-shanghai.volces.com')", + default="api-vikingdb.mlp.cn-shanghai.volces.com", ) - VIKINGDB_SCHEME: Optional[str] = Field( - default="http", + + VIKINGDB_SCHEME: str = Field( description="The scheme of the Volcengine VikingDB service.(e.g., 'http', 'https').", + default="http", ) - VIKINGDB_CONNECTION_TIMEOUT: Optional[int] = Field( - default=30, description="The connection timeout of the Volcengine VikingDB service." + + VIKINGDB_CONNECTION_TIMEOUT: int = Field( + description="The connection timeout of the Volcengine VikingDB service.", + default=30, ) - VIKINGDB_SOCKET_TIMEOUT: Optional[int] = Field( - default=30, description="The socket timeout of the Volcengine VikingDB service." + + VIKINGDB_SOCKET_TIMEOUT: int = Field( + description="The socket timeout of the Volcengine VikingDB service.", + default=30, ) From 6d2c6caa230263ee5e44b257860d2943dc27c99e Mon Sep 17 00:00:00 2001 From: omr <145922434+y-omr@users.noreply.github.com> Date: Tue, 15 Oct 2024 09:42:39 +0900 Subject: [PATCH 08/30] refactor: remove unnecessary 'closing' usage for boto3 client (#9343) --- api/extensions/storage/aliyun_oss_storage.py | 11 ++++----- api/extensions/storage/aws_s3_storage.py | 23 ++++++++----------- .../storage/google_cloud_storage.py | 3 +-- api/extensions/storage/oracle_oci_storage.py | 23 ++++++++----------- 4 files changed, 24 insertions(+), 36 deletions(-) diff --git a/api/extensions/storage/aliyun_oss_storage.py b/api/extensions/storage/aliyun_oss_storage.py index 53bd399d6d2d52..ae6911e9457772 100644 --- a/api/extensions/storage/aliyun_oss_storage.py +++ b/api/extensions/storage/aliyun_oss_storage.py @@ -1,5 +1,4 @@ from collections.abc import Generator -from contextlib import closing import oss2 as aliyun_s3 from flask import Flask @@ -34,15 +33,15 @@ def save(self, filename, data): self.client.put_object(self.__wrapper_folder_filename(filename), data) def load_once(self, filename: str) -> bytes: - with closing(self.client.get_object(self.__wrapper_folder_filename(filename))) as obj: - data = obj.read() + obj = self.client.get_object(self.__wrapper_folder_filename(filename)) + data = obj.read() return data def load_stream(self, filename: str) -> Generator: def generate(filename: str = filename) -> Generator: - with closing(self.client.get_object(self.__wrapper_folder_filename(filename))) as obj: - while chunk := obj.read(4096): - yield chunk + obj = self.client.get_object(self.__wrapper_folder_filename(filename)) + while chunk := obj.read(4096): + yield chunk return generate() diff --git a/api/extensions/storage/aws_s3_storage.py b/api/extensions/storage/aws_s3_storage.py index 38f823763fa4f7..507a303223d8b7 100644 --- a/api/extensions/storage/aws_s3_storage.py +++ b/api/extensions/storage/aws_s3_storage.py @@ -1,6 +1,5 @@ import logging from collections.abc import Generator -from contextlib import closing import boto3 from botocore.client import Config @@ -55,8 +54,7 @@ def save(self, filename, data): def load_once(self, filename: str) -> bytes: try: - with closing(self.client) as client: - data = client.get_object(Bucket=self.bucket_name, Key=filename)["Body"].read() + data = self.client.get_object(Bucket=self.bucket_name, Key=filename)["Body"].read() except ClientError as ex: if ex.response["Error"]["Code"] == "NoSuchKey": raise FileNotFoundError("File not found") @@ -67,9 +65,8 @@ def load_once(self, filename: str) -> bytes: def load_stream(self, filename: str) -> Generator: def generate(filename: str = filename) -> Generator: try: - with closing(self.client) as client: - response = client.get_object(Bucket=self.bucket_name, Key=filename) - yield from response["Body"].iter_chunks() + response = self.client.get_object(Bucket=self.bucket_name, Key=filename) + yield from response["Body"].iter_chunks() except ClientError as ex: if ex.response["Error"]["Code"] == "NoSuchKey": raise FileNotFoundError("File not found") @@ -79,16 +76,14 @@ def generate(filename: str = filename) -> Generator: return generate() def download(self, filename, target_filepath): - with closing(self.client) as client: - client.download_file(self.bucket_name, filename, target_filepath) + self.client.download_file(self.bucket_name, filename, target_filepath) def exists(self, filename): - with closing(self.client) as client: - try: - client.head_object(Bucket=self.bucket_name, Key=filename) - return True - except: - return False + try: + self.client.head_object(Bucket=self.bucket_name, Key=filename) + return True + except: + return False def delete(self, filename): self.client.delete_object(Bucket=self.bucket_name, Key=filename) diff --git a/api/extensions/storage/google_cloud_storage.py b/api/extensions/storage/google_cloud_storage.py index d9c74b8d40f253..2d1224fd7496d1 100644 --- a/api/extensions/storage/google_cloud_storage.py +++ b/api/extensions/storage/google_cloud_storage.py @@ -2,7 +2,6 @@ import io import json from collections.abc import Generator -from contextlib import closing from flask import Flask from google.cloud import storage as google_cloud_storage @@ -43,7 +42,7 @@ def load_stream(self, filename: str) -> Generator: def generate(filename: str = filename) -> Generator: bucket = self.client.get_bucket(self.bucket_name) blob = bucket.get_blob(filename) - with closing(blob.open(mode="rb")) as blob_stream: + with blob.open(mode="rb") as blob_stream: while chunk := blob_stream.read(4096): yield chunk diff --git a/api/extensions/storage/oracle_oci_storage.py b/api/extensions/storage/oracle_oci_storage.py index 69345835675849..5295dbdca28778 100644 --- a/api/extensions/storage/oracle_oci_storage.py +++ b/api/extensions/storage/oracle_oci_storage.py @@ -1,5 +1,4 @@ from collections.abc import Generator -from contextlib import closing import boto3 from botocore.exceptions import ClientError @@ -28,8 +27,7 @@ def save(self, filename, data): def load_once(self, filename: str) -> bytes: try: - with closing(self.client) as client: - data = client.get_object(Bucket=self.bucket_name, Key=filename)["Body"].read() + data = self.client.get_object(Bucket=self.bucket_name, Key=filename)["Body"].read() except ClientError as ex: if ex.response["Error"]["Code"] == "NoSuchKey": raise FileNotFoundError("File not found") @@ -40,9 +38,8 @@ def load_once(self, filename: str) -> bytes: def load_stream(self, filename: str) -> Generator: def generate(filename: str = filename) -> Generator: try: - with closing(self.client) as client: - response = client.get_object(Bucket=self.bucket_name, Key=filename) - yield from response["Body"].iter_chunks() + response = self.client.get_object(Bucket=self.bucket_name, Key=filename) + yield from response["Body"].iter_chunks() except ClientError as ex: if ex.response["Error"]["Code"] == "NoSuchKey": raise FileNotFoundError("File not found") @@ -52,16 +49,14 @@ def generate(filename: str = filename) -> Generator: return generate() def download(self, filename, target_filepath): - with closing(self.client) as client: - client.download_file(self.bucket_name, filename, target_filepath) + self.client.download_file(self.bucket_name, filename, target_filepath) def exists(self, filename): - with closing(self.client) as client: - try: - client.head_object(Bucket=self.bucket_name, Key=filename) - return True - except: - return False + try: + self.client.head_object(Bucket=self.bucket_name, Key=filename) + return True + except: + return False def delete(self, filename): self.client.delete_object(Bucket=self.bucket_name, Key=filename) From 5908fd65521f8c3a21bbd2ce5cd5109ace4de13c Mon Sep 17 00:00:00 2001 From: ice yao Date: Tue, 15 Oct 2024 09:01:00 +0800 Subject: [PATCH 09/30] Adapt input type parameter with MiniMax embedding model (#9342) --- .../model_providers/minimax/text_embedding/text_embedding.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/api/core/model_runtime/model_providers/minimax/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/minimax/text_embedding/text_embedding.py index 74d2a221d1b57e..d031bfa04d41c3 100644 --- a/api/core/model_runtime/model_providers/minimax/text_embedding/text_embedding.py +++ b/api/core/model_runtime/model_providers/minimax/text_embedding/text_embedding.py @@ -61,7 +61,8 @@ def _invoke( url = f"{self.api_base}?GroupId={group_id}" headers = {"Authorization": "Bearer " + api_key, "Content-Type": "application/json"} - data = {"model": "embo-01", "texts": texts, "type": "db"} + embedding_type = "db" if input_type == EmbeddingInputType.DOCUMENT else "query" + data = {"model": "embo-01", "texts": texts, "type": embedding_type} try: response = post(url, headers=headers, data=dumps(data)) From cd7ab6231fd60eae3165fb19e29311ff4d528617 Mon Sep 17 00:00:00 2001 From: zhuhao <37029601+hwzhuhao@users.noreply.github.com> Date: Tue, 15 Oct 2024 12:51:13 +0800 Subject: [PATCH 10/30] refactor: Add an enumeration type and use the factory pattern to obtain the corresponding class (#9356) --- .../rag/datasource/keyword/keyword_factory.py | 25 ++++++++++-------- .../rag/datasource/keyword/keyword_type.py | 5 ++++ api/services/auth/api_key_auth_factory.py | 26 +++++++++++++------ api/services/auth/auth_type.py | 6 +++++ api/services/auth/firecrawl/__init__.py | 0 .../auth/{ => firecrawl}/firecrawl.py | 0 api/services/auth/jina/__init__.py | 0 api/services/auth/{ => jina}/jina.py | 0 8 files changed, 43 insertions(+), 19 deletions(-) create mode 100644 api/core/rag/datasource/keyword/keyword_type.py create mode 100644 api/services/auth/auth_type.py create mode 100644 api/services/auth/firecrawl/__init__.py rename api/services/auth/{ => firecrawl}/firecrawl.py (100%) create mode 100644 api/services/auth/jina/__init__.py rename api/services/auth/{ => jina}/jina.py (100%) diff --git a/api/core/rag/datasource/keyword/keyword_factory.py b/api/core/rag/datasource/keyword/keyword_factory.py index 3c99f33be61e36..f1a6ade91f9bd1 100644 --- a/api/core/rag/datasource/keyword/keyword_factory.py +++ b/api/core/rag/datasource/keyword/keyword_factory.py @@ -1,8 +1,8 @@ from typing import Any from configs import dify_config -from core.rag.datasource.keyword.jieba.jieba import Jieba from core.rag.datasource.keyword.keyword_base import BaseKeyword +from core.rag.datasource.keyword.keyword_type import KeyWordType from core.rag.models.document import Document from models.dataset import Dataset @@ -13,16 +13,19 @@ def __init__(self, dataset: Dataset): self._keyword_processor = self._init_keyword() def _init_keyword(self) -> BaseKeyword: - config = dify_config - keyword_type = config.KEYWORD_STORE - - if not keyword_type: - raise ValueError("Keyword store must be specified.") - - if keyword_type == "jieba": - return Jieba(dataset=self._dataset) - else: - raise ValueError(f"Keyword store {keyword_type} is not supported.") + keyword_type = dify_config.KEYWORD_STORE + keyword_factory = self.get_keyword_factory(keyword_type) + return keyword_factory(self._dataset) + + @staticmethod + def get_keyword_factory(keyword_type: str) -> type[BaseKeyword]: + match keyword_type: + case KeyWordType.JIEBA: + from core.rag.datasource.keyword.jieba.jieba import Jieba + + return Jieba + case _: + raise ValueError(f"Keyword store {keyword_type} is not supported.") def create(self, texts: list[Document], **kwargs): self._keyword_processor.create(texts, **kwargs) diff --git a/api/core/rag/datasource/keyword/keyword_type.py b/api/core/rag/datasource/keyword/keyword_type.py new file mode 100644 index 00000000000000..d6deba3fb09fdf --- /dev/null +++ b/api/core/rag/datasource/keyword/keyword_type.py @@ -0,0 +1,5 @@ +from enum import Enum + + +class KeyWordType(str, Enum): + JIEBA = "jieba" diff --git a/api/services/auth/api_key_auth_factory.py b/api/services/auth/api_key_auth_factory.py index 36387e9c2efdb2..f91c448fb94a23 100644 --- a/api/services/auth/api_key_auth_factory.py +++ b/api/services/auth/api_key_auth_factory.py @@ -1,15 +1,25 @@ -from services.auth.firecrawl import FirecrawlAuth -from services.auth.jina import JinaAuth +from services.auth.api_key_auth_base import ApiKeyAuthBase +from services.auth.auth_type import AuthType class ApiKeyAuthFactory: def __init__(self, provider: str, credentials: dict): - if provider == "firecrawl": - self.auth = FirecrawlAuth(credentials) - elif provider == "jinareader": - self.auth = JinaAuth(credentials) - else: - raise ValueError("Invalid provider") + auth_factory = self.get_apikey_auth_factory(provider) + self.auth = auth_factory(credentials) def validate_credentials(self): return self.auth.validate_credentials() + + @staticmethod + def get_apikey_auth_factory(provider: str) -> type[ApiKeyAuthBase]: + match provider: + case AuthType.FIRECRAWL: + from services.auth.firecrawl.firecrawl import FirecrawlAuth + + return FirecrawlAuth + case AuthType.JINA: + from services.auth.jina.jina import JinaAuth + + return JinaAuth + case _: + raise ValueError("Invalid provider") diff --git a/api/services/auth/auth_type.py b/api/services/auth/auth_type.py new file mode 100644 index 00000000000000..2d6e901447c369 --- /dev/null +++ b/api/services/auth/auth_type.py @@ -0,0 +1,6 @@ +from enum import Enum + + +class AuthType(str, Enum): + FIRECRAWL = "firecrawl" + JINA = "jinareader" diff --git a/api/services/auth/firecrawl/__init__.py b/api/services/auth/firecrawl/__init__.py new file mode 100644 index 00000000000000..e69de29bb2d1d6 diff --git a/api/services/auth/firecrawl.py b/api/services/auth/firecrawl/firecrawl.py similarity index 100% rename from api/services/auth/firecrawl.py rename to api/services/auth/firecrawl/firecrawl.py diff --git a/api/services/auth/jina/__init__.py b/api/services/auth/jina/__init__.py new file mode 100644 index 00000000000000..e69de29bb2d1d6 diff --git a/api/services/auth/jina.py b/api/services/auth/jina/jina.py similarity index 100% rename from api/services/auth/jina.py rename to api/services/auth/jina/jina.py From fb32e5ca9a101fb1075bd9c252dd71157d75dd81 Mon Sep 17 00:00:00 2001 From: Wei-shun Bao Date: Tue, 15 Oct 2024 16:24:29 +0800 Subject: [PATCH 11/30] fix: In the output, the order of 'ta' is sometimes reversed as 'at'. #8015 (#8791) --- .../agent/output_parser/cot_output_parser.py | 57 ++++++++++++------- 1 file changed, 38 insertions(+), 19 deletions(-) diff --git a/api/core/agent/output_parser/cot_output_parser.py b/api/core/agent/output_parser/cot_output_parser.py index 99876b2f5eb3e3..085bac8601b2da 100644 --- a/api/core/agent/output_parser/cot_output_parser.py +++ b/api/core/agent/output_parser/cot_output_parser.py @@ -62,6 +62,8 @@ def extra_json_from_code_block(code_block) -> Generator[Union[dict, str], None, thought_str = "thought:" thought_idx = 0 + last_character = "" + for response in llm_response: if response.delta.usage: usage_dict["usage"] = response.delta.usage @@ -74,35 +76,38 @@ def extra_json_from_code_block(code_block) -> Generator[Union[dict, str], None, while index < len(response): steps = 1 delta = response[index : index + steps] - last_character = response[index - 1] if index > 0 else "" + yield_delta = False if delta == "`": + last_character = delta code_block_cache += delta code_block_delimiter_count += 1 else: if not in_code_block: if code_block_delimiter_count > 0: + last_character = delta yield code_block_cache code_block_cache = "" else: + last_character = delta code_block_cache += delta code_block_delimiter_count = 0 if not in_code_block and not in_json: if delta.lower() == action_str[action_idx] and action_idx == 0: if last_character not in {"\n", " ", ""}: + yield_delta = True + else: + last_character = delta + action_cache += delta + action_idx += 1 + if action_idx == len(action_str): + action_cache = "" + action_idx = 0 index += steps - yield delta continue - - action_cache += delta - action_idx += 1 - if action_idx == len(action_str): - action_cache = "" - action_idx = 0 - index += steps - continue elif delta.lower() == action_str[action_idx] and action_idx > 0: + last_character = delta action_cache += delta action_idx += 1 if action_idx == len(action_str): @@ -112,24 +117,25 @@ def extra_json_from_code_block(code_block) -> Generator[Union[dict, str], None, continue else: if action_cache: + last_character = delta yield action_cache action_cache = "" action_idx = 0 if delta.lower() == thought_str[thought_idx] and thought_idx == 0: if last_character not in {"\n", " ", ""}: + yield_delta = True + else: + last_character = delta + thought_cache += delta + thought_idx += 1 + if thought_idx == len(thought_str): + thought_cache = "" + thought_idx = 0 index += steps - yield delta continue - - thought_cache += delta - thought_idx += 1 - if thought_idx == len(thought_str): - thought_cache = "" - thought_idx = 0 - index += steps - continue elif delta.lower() == thought_str[thought_idx] and thought_idx > 0: + last_character = delta thought_cache += delta thought_idx += 1 if thought_idx == len(thought_str): @@ -139,12 +145,20 @@ def extra_json_from_code_block(code_block) -> Generator[Union[dict, str], None, continue else: if thought_cache: + last_character = delta yield thought_cache thought_cache = "" thought_idx = 0 + if yield_delta: + index += steps + last_character = delta + yield delta + continue + if code_block_delimiter_count == 3: if in_code_block: + last_character = delta yield from extra_json_from_code_block(code_block_cache) code_block_cache = "" @@ -156,8 +170,10 @@ def extra_json_from_code_block(code_block) -> Generator[Union[dict, str], None, if delta == "{": json_quote_count += 1 in_json = True + last_character = delta json_cache += delta elif delta == "}": + last_character = delta json_cache += delta if json_quote_count > 0: json_quote_count -= 1 @@ -168,16 +184,19 @@ def extra_json_from_code_block(code_block) -> Generator[Union[dict, str], None, continue else: if in_json: + last_character = delta json_cache += delta if got_json: got_json = False + last_character = delta yield parse_action(json_cache) json_cache = "" json_quote_count = 0 in_json = False if not in_code_block and not in_json: + last_character = delta yield delta.replace("`", "") index += steps From b597a0d31c7d1b92169e9197c246795e226c47b3 Mon Sep 17 00:00:00 2001 From: Warren Wong <46453511+somethingwentwell@users.noreply.github.com> Date: Tue, 15 Oct 2024 16:26:44 +0800 Subject: [PATCH 12/30] fix: Azure OpenAI o1 max_completion_token and get_num_token_from_messages error (#9326) Co-authored-by: wwwc --- .../model_providers/azure_openai/_constant.py | 16 + .../model_providers/azure_openai/llm/llm.py | 10 +- api/poetry.lock | 697 ++++++++++-------- api/pyproject.toml | 15 +- .../model_runtime/__mock/openai_moderation.py | 41 +- sdks/python-client/dify_client/__init__.py | 2 +- sdks/python-client/dify_client/client.py | 128 +++- sdks/python-client/setup.py | 10 +- sdks/python-client/tests/test_client.py | 112 +-- 9 files changed, 644 insertions(+), 387 deletions(-) diff --git a/api/core/model_runtime/model_providers/azure_openai/_constant.py b/api/core/model_runtime/model_providers/azure_openai/_constant.py index baa542139629de..24657167dde23d 100644 --- a/api/core/model_runtime/model_providers/azure_openai/_constant.py +++ b/api/core/model_runtime/model_providers/azure_openai/_constant.py @@ -1098,6 +1098,14 @@ class AzureBaseModel(BaseModel): ModelPropertyKey.CONTEXT_SIZE: 128000, }, parameter_rules=[ + ParameterRule( + name="temperature", + **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE], + ), + ParameterRule( + name="top_p", + **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P], + ), ParameterRule( name="response_format", label=I18nObject(zh_Hans="回复格式", en_US="response_format"), @@ -1135,6 +1143,14 @@ class AzureBaseModel(BaseModel): ModelPropertyKey.CONTEXT_SIZE: 128000, }, parameter_rules=[ + ParameterRule( + name="temperature", + **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE], + ), + ParameterRule( + name="top_p", + **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P], + ), ParameterRule( name="response_format", label=I18nObject(zh_Hans="回复格式", en_US="response_format"), diff --git a/api/core/model_runtime/model_providers/azure_openai/llm/llm.py b/api/core/model_runtime/model_providers/azure_openai/llm/llm.py index b9cc3bb6727b92..4f46fb81f862e4 100644 --- a/api/core/model_runtime/model_providers/azure_openai/llm/llm.py +++ b/api/core/model_runtime/model_providers/azure_openai/llm/llm.py @@ -119,7 +119,15 @@ def validate_credentials(self, model: str, credentials: dict) -> None: try: client = AzureOpenAI(**self._to_credential_kwargs(credentials)) - if ai_model_entity.entity.model_properties.get(ModelPropertyKey.MODE) == LLMMode.CHAT.value: + if model.startswith("o1"): + client.chat.completions.create( + messages=[{"role": "user", "content": "ping"}], + model=model, + temperature=1, + max_completion_tokens=20, + stream=False, + ) + elif ai_model_entity.entity.model_properties.get(ModelPropertyKey.MODE) == LLMMode.CHAT.value: # chat model client.chat.completions.create( messages=[{"role": "user", "content": "ping"}], diff --git a/api/poetry.lock b/api/poetry.lock index 289b9053560981..9c458996998e4b 100644 --- a/api/poetry.lock +++ b/api/poetry.lock @@ -455,13 +455,13 @@ vertex = ["google-auth (>=2,<3)"] [[package]] name = "anyio" -version = "4.6.0" +version = "4.6.2.post1" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false python-versions = ">=3.9" files = [ - {file = "anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a"}, - {file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"}, + {file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"}, + {file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"}, ] [package.dependencies] @@ -472,7 +472,7 @@ typing-extensions = {version = ">=4.1", markers = 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directive +] +"core/tools/provider/builtin/gitlab/tools/gitlab_commits.py" = [ + "PLR1714", # Consider merging multiple comparisons ] [tool.ruff.lint.pyflakes] -allowed-unused-imports=[ +extend-generics=[ "_pytest.monkeypatch", "tests.integration_tests", ] @@ -149,7 +158,7 @@ nomic = "~3.1.2" novita-client = "~0.5.7" numpy = "~1.26.4" oci = "~2.135.1" -openai = "~1.29.0" +openai = "~1.51.2" openpyxl = "~3.1.5" pandas = { version = "~2.2.2", extras = ["performance", "excel"] } psycopg2-binary = "~2.9.6" @@ -172,7 +181,7 @@ scikit-learn = "~1.5.1" sentry-sdk = { version = "~1.44.1", extras = ["flask"] } sqlalchemy = "~2.0.29" tencentcloud-sdk-python-hunyuan = "~3.0.1158" -tiktoken = "~0.7.0" +tiktoken = "~0.8.0" tokenizers = "~0.15.0" transformers = "~4.35.0" unstructured = { version = "~0.10.27", extras = ["docx", "epub", "md", "msg", "ppt", "pptx"] } diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_moderation.py b/api/tests/integration_tests/model_runtime/__mock/openai_moderation.py index 4262d40f3e5464..e26855344e63bf 100644 --- a/api/tests/integration_tests/model_runtime/__mock/openai_moderation.py +++ b/api/tests/integration_tests/model_runtime/__mock/openai_moderation.py @@ -41,6 +41,8 @@ def moderation_create( "sexual/minors": False, "violence": False, "violence/graphic": False, + "illicit": False, + "illicit/violent": False, } moderation_categories_scores = { "harassment": 1.0, @@ -54,13 +56,30 @@ def moderation_create( "sexual/minors": 1.0, "violence": 1.0, "violence/graphic": 1.0, + "illicit": 1.0, + "illicit/violent": 1.0, + } + category_applied_input_types = { + "sexual": ["text", "image"], + "hate": ["text"], + "harassment": ["text"], + "self-harm": ["text", "image"], + "sexual/minors": ["text"], + "hate/threatening": ["text"], + "violence/graphic": ["text", "image"], + "self-harm/intent": ["text", "image"], + "self-harm/instructions": ["text", "image"], + "harassment/threatening": ["text"], + "violence": ["text", "image"], + "illicit": ["text"], + "illicit/violent": ["text"], } - result.append( Moderation( flagged=True, categories=Categories(**moderation_categories), category_scores=CategoryScores(**moderation_categories_scores), + category_applied_input_types=category_applied_input_types, ) ) else: @@ -76,6 +95,8 @@ def moderation_create( "sexual/minors": False, "violence": False, "violence/graphic": False, + "illicit": False, + "illicit/violent": False, } moderation_categories_scores = { "harassment": 0.0, @@ -89,12 +110,30 @@ def moderation_create( "sexual/minors": 0.0, "violence": 0.0, "violence/graphic": 0.0, + "illicit": 0.0, + "illicit/violent": 0.0, + } + category_applied_input_types = { + "sexual": ["text", "image"], + "hate": ["text"], + "harassment": ["text"], + "self-harm": ["text", "image"], + "sexual/minors": ["text"], + "hate/threatening": ["text"], + "violence/graphic": ["text", "image"], + "self-harm/intent": ["text", "image"], + "self-harm/instructions": ["text", "image"], + "harassment/threatening": ["text"], + "violence": ["text", "image"], + "illicit": ["text"], + "illicit/violent": ["text"], } result.append( Moderation( flagged=False, categories=Categories(**moderation_categories), category_scores=CategoryScores(**moderation_categories_scores), + category_applied_input_types=category_applied_input_types, ) ) diff --git a/sdks/python-client/dify_client/__init__.py b/sdks/python-client/dify_client/__init__.py index 6ef0017fee0649..6fa9d190e534eb 100644 --- a/sdks/python-client/dify_client/__init__.py +++ b/sdks/python-client/dify_client/__init__.py @@ -1 +1 @@ -from dify_client.client import ChatClient, CompletionClient, DifyClient \ No newline at end of file +from dify_client.client import ChatClient, CompletionClient, DifyClient diff --git a/sdks/python-client/dify_client/client.py b/sdks/python-client/dify_client/client.py index 5e42507a42abc7..e6644883018769 100644 --- a/sdks/python-client/dify_client/client.py +++ b/sdks/python-client/dify_client/client.py @@ -9,10 +9,15 @@ def __init__(self, api_key, base_url: str = "https://api.dify.ai/v1"): self.base_url = base_url def _send_request(self, method, endpoint, json=None, params=None, stream=False): - headers = {"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json"} + headers = { + "Authorization": f"Bearer {self.api_key}", + "Content-Type": "application/json", + } url = f"{self.base_url}{endpoint}" - response = requests.request(method, url, json=json, params=params, headers=headers, stream=stream) + response = requests.request( + method, url, json=json, params=params, headers=headers, stream=stream + ) return response @@ -20,7 +25,9 @@ def _send_request_with_files(self, method, endpoint, data, files): headers = {"Authorization": f"Bearer {self.api_key}"} url = f"{self.base_url}{endpoint}" - response = requests.request(method, url, data=data, headers=headers, files=files) + response = requests.request( + method, url, data=data, headers=headers, files=files + ) return response @@ -34,7 +41,9 @@ def get_application_parameters(self, user): def file_upload(self, user, files): data = {"user": user} - return self._send_request_with_files("POST", "/files/upload", data=data, files=files) + return self._send_request_with_files( + "POST", "/files/upload", data=data, files=files + ) def text_to_audio(self, text: str, user: str, streaming: bool = False): data = {"text": text, "user": user, "streaming": streaming} @@ -47,25 +56,52 @@ def get_meta(self, user): class CompletionClient(DifyClient): def create_completion_message(self, inputs, response_mode, user, files=None): - data = {"inputs": inputs, "response_mode": response_mode, "user": user, "files": files} + data = { + "inputs": inputs, + "response_mode": response_mode, + "user": user, + "files": files, + } return self._send_request( - "POST", "/completion-messages", data, stream=True if response_mode == "streaming" else False + "POST", + "/completion-messages", + data, + stream=True if response_mode == "streaming" else False, ) class ChatClient(DifyClient): - def create_chat_message(self, inputs, query, user, response_mode="blocking", conversation_id=None, files=None): - data = {"inputs": inputs, "query": query, "user": user, "response_mode": response_mode, "files": files} + def create_chat_message( + self, + inputs, + query, + user, + response_mode="blocking", + conversation_id=None, + files=None, + ): + data = { + "inputs": inputs, + "query": query, + "user": user, + "response_mode": response_mode, + "files": files, + } if conversation_id: data["conversation_id"] = conversation_id return self._send_request( - "POST", "/chat-messages", data, stream=True if response_mode == "streaming" else False + "POST", + "/chat-messages", + data, + stream=True if response_mode == "streaming" else False, ) def get_suggested(self, message_id, user: str): params = {"user": user} - return self._send_request("GET", f"/messages/{message_id}/suggested", params=params) + return self._send_request( + "GET", f"/messages/{message_id}/suggested", params=params + ) def stop_message(self, task_id, user): data = {"user": user} @@ -75,7 +111,9 @@ def get_conversations(self, user, last_id=None, limit=None, pinned=None): params = {"user": user, "last_id": last_id, "limit": limit, "pinned": pinned} return self._send_request("GET", "/conversations", params=params) - def get_conversation_messages(self, user, conversation_id=None, first_id=None, limit=None): + def get_conversation_messages( + self, user, conversation_id=None, first_id=None, limit=None + ): params = {"user": user} if conversation_id: @@ -87,9 +125,13 @@ def get_conversation_messages(self, user, conversation_id=None, first_id=None, l return self._send_request("GET", "/messages", params=params) - def rename_conversation(self, conversation_id, name, auto_generate: bool, user: str): + def rename_conversation( + self, conversation_id, name, auto_generate: bool, user: str + ): data = {"name": name, "auto_generate": auto_generate, "user": user} - return self._send_request("POST", f"/conversations/{conversation_id}/name", data) + return self._send_request( + "POST", f"/conversations/{conversation_id}/name", data + ) def delete_conversation(self, conversation_id, user): data = {"user": user} @@ -102,7 +144,9 @@ def audio_to_text(self, audio_file, user): class WorkflowClient(DifyClient): - def run(self, inputs: dict, response_mode: str = "streaming", user: str = "abc-123"): + def run( + self, inputs: dict, response_mode: str = "streaming", user: str = "abc-123" + ): data = {"inputs": inputs, "response_mode": response_mode, "user": user} return self._send_request("POST", "/workflows/run", data) @@ -115,7 +159,9 @@ def get_result(self, workflow_run_id): class KnowledgeBaseClient(DifyClient): - def __init__(self, api_key, base_url: str = "https://api.dify.ai/v1", dataset_id: str = None): + def __init__( + self, api_key, base_url: str = "https://api.dify.ai/v1", dataset_id: str = None + ): """ Construct a KnowledgeBaseClient object. @@ -137,7 +183,9 @@ def create_dataset(self, name: str, **kwargs): return self._send_request("POST", "/datasets", {"name": name}, **kwargs) def list_datasets(self, page: int = 1, page_size: int = 20, **kwargs): - return self._send_request("GET", f"/datasets?page={page}&limit={page_size}", **kwargs) + return self._send_request( + "GET", f"/datasets?page={page}&limit={page_size}", **kwargs + ) def create_document_by_text(self, name, text, extra_params: dict = None, **kwargs): """ @@ -165,13 +213,20 @@ def create_document_by_text(self, name, text, extra_params: dict = None, **kwarg } :return: Response from the API """ - data = {"indexing_technique": "high_quality", "process_rule": {"mode": "automatic"}, "name": name, "text": text} + data = { + "indexing_technique": "high_quality", + "process_rule": {"mode": "automatic"}, + "name": name, + "text": text, + } if extra_params is not None and isinstance(extra_params, dict): data.update(extra_params) url = f"/datasets/{self._get_dataset_id()}/document/create_by_text" return self._send_request("POST", url, json=data, **kwargs) - def update_document_by_text(self, document_id, name, text, extra_params: dict = None, **kwargs): + def update_document_by_text( + self, document_id, name, text, extra_params: dict = None, **kwargs + ): """ Update a document by text. @@ -201,10 +256,14 @@ def update_document_by_text(self, document_id, name, text, extra_params: dict = data = {"name": name, "text": text} if extra_params is not None and isinstance(extra_params, dict): data.update(extra_params) - url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/update_by_text" + url = ( + f"/datasets/{self._get_dataset_id()}/documents/{document_id}/update_by_text" + ) return self._send_request("POST", url, json=data, **kwargs) - def create_document_by_file(self, file_path, original_document_id=None, extra_params: dict = None): + def create_document_by_file( + self, file_path, original_document_id=None, extra_params: dict = None + ): """ Create a document by file. @@ -231,15 +290,22 @@ def create_document_by_file(self, file_path, original_document_id=None, extra_pa :return: Response from the API """ files = {"file": open(file_path, "rb")} - data = {"process_rule": {"mode": "automatic"}, "indexing_technique": "high_quality"} + data = { + "process_rule": {"mode": "automatic"}, + "indexing_technique": "high_quality", + } if extra_params is not None and isinstance(extra_params, dict): data.update(extra_params) if original_document_id is not None: data["original_document_id"] = original_document_id url = f"/datasets/{self._get_dataset_id()}/document/create_by_file" - return self._send_request_with_files("POST", url, {"data": json.dumps(data)}, files) + return self._send_request_with_files( + "POST", url, {"data": json.dumps(data)}, files + ) - def update_document_by_file(self, document_id, file_path, extra_params: dict = None): + def update_document_by_file( + self, document_id, file_path, extra_params: dict = None + ): """ Update a document by file. @@ -269,8 +335,12 @@ def update_document_by_file(self, document_id, file_path, extra_params: dict = N data = {} if extra_params is not None and isinstance(extra_params, dict): data.update(extra_params) - url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/update_by_file" - return self._send_request_with_files("POST", url, {"data": json.dumps(data)}, files) + url = ( + f"/datasets/{self._get_dataset_id()}/documents/{document_id}/update_by_file" + ) + return self._send_request_with_files( + "POST", url, {"data": json.dumps(data)}, files + ) def batch_indexing_status(self, batch_id: str, **kwargs): """ @@ -301,7 +371,9 @@ def delete_document(self, document_id): url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}" return self._send_request("DELETE", url) - def list_documents(self, page: int = None, page_size: int = None, keyword: str = None, **kwargs): + def list_documents( + self, page: int = None, page_size: int = None, keyword: str = None, **kwargs + ): """ Get a list of documents in this dataset. @@ -329,7 +401,9 @@ def add_segments(self, document_id, segments, **kwargs): url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/segments" return self._send_request("POST", url, json=data, **kwargs) - def query_segments(self, document_id, keyword: str = None, status: str = None, **kwargs): + def query_segments( + self, document_id, keyword: str = None, status: str = None, **kwargs + ): """ Query segments in this document. diff --git a/sdks/python-client/setup.py b/sdks/python-client/setup.py index bb8ca46d97663b..7340fffb4cdcdc 100644 --- a/sdks/python-client/setup.py +++ b/sdks/python-client/setup.py @@ -12,17 +12,15 @@ long_description=long_description, long_description_content_type="text/markdown", url="https://github.com/langgenius/dify", - license='MIT', - packages=['dify_client'], + license="MIT", + packages=["dify_client"], classifiers=[ "Programming Language :: Python :: 3", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", ], python_requires=">=3.6", - install_requires=[ - "requests" - ], - keywords='dify nlp ai language-processing', + install_requires=["requests"], + keywords="dify nlp ai language-processing", include_package_data=True, ) diff --git a/sdks/python-client/tests/test_client.py b/sdks/python-client/tests/test_client.py index 301e733b6b008a..0e8913c5f0d7cf 100644 --- a/sdks/python-client/tests/test_client.py +++ b/sdks/python-client/tests/test_client.py @@ -2,7 +2,12 @@ import time import unittest -from dify_client.client import ChatClient, CompletionClient, DifyClient, KnowledgeBaseClient +from dify_client.client import ( + ChatClient, + CompletionClient, + DifyClient, + KnowledgeBaseClient, +) API_KEY = os.environ.get("API_KEY") APP_ID = os.environ.get("APP_ID") @@ -13,7 +18,9 @@ class TestKnowledgeBaseClient(unittest.TestCase): def setUp(self): self.knowledge_base_client = KnowledgeBaseClient(API_KEY, base_url=API_BASE_URL) - self.README_FILE_PATH = os.path.abspath(os.path.join(FILE_PATH_BASE, "../README.md")) + self.README_FILE_PATH = os.path.abspath( + os.path.join(FILE_PATH_BASE, "../README.md") + ) self.dataset_id = None self.document_id = None self.segment_id = None @@ -21,7 +28,9 @@ def setUp(self): def _get_dataset_kb_client(self): self.assertIsNotNone(self.dataset_id) - return KnowledgeBaseClient(API_KEY, base_url=API_BASE_URL, dataset_id=self.dataset_id) + return KnowledgeBaseClient( + API_KEY, base_url=API_BASE_URL, dataset_id=self.dataset_id + ) def test_001_create_dataset(self): response = self.knowledge_base_client.create_dataset(name="test_dataset") @@ -67,7 +76,9 @@ def _test_003_create_document_by_text(self): def _test_004_update_document_by_text(self): client = self._get_dataset_kb_client() self.assertIsNotNone(self.document_id) - response = client.update_document_by_text(self.document_id, "test_document_updated", "test_text_updated") + response = client.update_document_by_text( + self.document_id, "test_document_updated", "test_text_updated" + ) data = response.json() self.assertIn("document", data) self.assertIn("batch", data) @@ -82,7 +93,9 @@ def _test_005_batch_indexing_status(self): def _test_006_update_document_by_file(self): client = self._get_dataset_kb_client() self.assertIsNotNone(self.document_id) - response = client.update_document_by_file(self.document_id, self.README_FILE_PATH) + response = client.update_document_by_file( + self.document_id, self.README_FILE_PATH + ) data = response.json() self.assertIn("document", data) self.assertIn("batch", data) @@ -112,9 +125,9 @@ def _test_009_create_document_by_file(self): def _test_010_add_segments(self): client = self._get_dataset_kb_client() - response = client.add_segments(self.document_id, [ - {"content": "test text segment 1"} - ]) + response = client.add_segments( + self.document_id, [{"content": "test text segment 1"}] + ) data = response.json() self.assertIn("data", data) self.assertGreater(len(data["data"]), 0) @@ -131,9 +144,11 @@ def _test_011_query_segments(self): def _test_012_update_document_segment(self): client = self._get_dataset_kb_client() self.assertIsNotNone(self.segment_id) - response = client.update_document_segment(self.document_id, self.segment_id, - {"content": "test text segment 1 updated"} - ) + response = client.update_document_segment( + self.document_id, + self.segment_id, + {"content": "test text segment 1 updated"}, + ) data = response.json() self.assertIn("data", data) self.assertGreater(len(data["data"]), 0) @@ -159,29 +174,37 @@ def setUp(self): self.chat_client = ChatClient(API_KEY) def test_create_chat_message(self): - response = self.chat_client.create_chat_message({}, "Hello, World!", "test_user") + response = self.chat_client.create_chat_message( + {}, "Hello, World!", "test_user" + ) self.assertIn("answer", response.text) def test_create_chat_message_with_vision_model_by_remote_url(self): - files = [{ - "type": "image", - "transfer_method": "remote_url", - "url": "your_image_url" - }] - response = self.chat_client.create_chat_message({}, "Describe the picture.", "test_user", files=files) + files = [ + {"type": "image", "transfer_method": "remote_url", "url": "your_image_url"} + ] + response = self.chat_client.create_chat_message( + {}, "Describe the picture.", "test_user", files=files + ) self.assertIn("answer", response.text) def test_create_chat_message_with_vision_model_by_local_file(self): - files = [{ - "type": "image", - "transfer_method": "local_file", - "upload_file_id": "your_file_id" - }] - response = self.chat_client.create_chat_message({}, "Describe the picture.", "test_user", files=files) + files = [ + { + "type": "image", + "transfer_method": "local_file", + "upload_file_id": "your_file_id", + } + ] + response = self.chat_client.create_chat_message( + {}, "Describe the picture.", "test_user", files=files + ) self.assertIn("answer", response.text) def test_get_conversation_messages(self): - response = self.chat_client.get_conversation_messages("test_user", "your_conversation_id") + response = self.chat_client.get_conversation_messages( + "test_user", "your_conversation_id" + ) self.assertIn("answer", response.text) def test_get_conversations(self): @@ -194,28 +217,31 @@ def setUp(self): self.completion_client = CompletionClient(API_KEY) def test_create_completion_message(self): - response = self.completion_client.create_completion_message({"query": "What's the weather like today?"}, - "blocking", "test_user") + response = self.completion_client.create_completion_message( + {"query": "What's the weather like today?"}, "blocking", "test_user" + ) self.assertIn("answer", response.text) def test_create_completion_message_with_vision_model_by_remote_url(self): - files = [{ - "type": "image", - "transfer_method": "remote_url", - "url": "your_image_url" - }] + files = [ + {"type": "image", "transfer_method": "remote_url", "url": "your_image_url"} + ] response = self.completion_client.create_completion_message( - {"query": "Describe the picture."}, "blocking", "test_user", files) + {"query": "Describe the picture."}, "blocking", "test_user", files + ) self.assertIn("answer", response.text) def test_create_completion_message_with_vision_model_by_local_file(self): - files = [{ - "type": "image", - "transfer_method": "local_file", - "upload_file_id": "your_file_id" - }] + files = [ + { + "type": "image", + "transfer_method": "local_file", + "upload_file_id": "your_file_id", + } + ] response = self.completion_client.create_completion_message( - {"query": "Describe the picture."}, "blocking", "test_user", files) + {"query": "Describe the picture."}, "blocking", "test_user", files + ) self.assertIn("answer", response.text) @@ -224,7 +250,9 @@ def setUp(self): self.dify_client = DifyClient(API_KEY) def test_message_feedback(self): - response = self.dify_client.message_feedback("your_message_id", 'like', "test_user") + response = self.dify_client.message_feedback( + "your_message_id", "like", "test_user" + ) self.assertIn("success", response.text) def test_get_application_parameters(self): @@ -237,9 +265,7 @@ def test_file_upload(self): mime_type = "image/jpeg" with open(file_path, "rb") as file: - files = { - "file": (file_name, file, mime_type) - } + files = {"file": (file_name, file, mime_type)} response = self.dify_client.file_upload("test_user", files) self.assertIn("name", response.text) From 4ffaabcc041d69010f2e473b870d2c10a31759e7 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=9D=9E=E6=B3=95=E6=93=8D=E4=BD=9C?= Date: Tue, 15 Oct 2024 17:33:34 +0800 Subject: [PATCH 13/30] feat: add glm-4-flashx, deprecated chatglm_turbo (#9357) --- .../zhipuai/llm/chatglm_turbo.yaml | 1 + .../zhipuai/llm/glm-4-flashx.yaml | 53 +++++++++++++++++++ 2 files changed, 54 insertions(+) create mode 100644 api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_turbo.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_turbo.yaml index fcd5c5ef640206..18a0adec6751a1 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_turbo.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_turbo.yaml @@ -49,3 +49,4 @@ parameter_rules: options: - text - json_string +deprecated: true diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml new file mode 100644 index 00000000000000..40ff7609c7a2e2 --- /dev/null +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml @@ -0,0 +1,53 @@ +model: glm-4-flashx +label: + en_US: glm-4-flashx +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: do_sample + label: + zh_Hans: 采样策略 + en_US: Sampling strategy + type: boolean + help: + zh_Hans: do_sample 为 true 时启用采样策略,do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 + en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. + default: true + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 4095 + - name: web_search + type: boolean + label: + zh_Hans: 联网搜索 + en_US: Web Search + default: false + help: + zh_Hans: 模型内置了互联网搜索服务,该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索,模型会将搜索结果作为文本生成过程中的参考信息,但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 + en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. +pricing: + input: '0' + output: '0' + unit: '0.001' + currency: RMB From d5bc12561705a3a88d73b754767fcf8f20c63217 Mon Sep 17 00:00:00 2001 From: Bowen Liang Date: Tue, 15 Oct 2024 17:56:11 +0800 Subject: [PATCH 14/30] fix: (#9336 followup) skip poetry preperation in style workflow when no change in api folder (#9362) --- .github/workflows/db-migration-test.yml | 7 +++---- .github/workflows/style.yml | 1 + 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/.github/workflows/db-migration-test.yml b/.github/workflows/db-migration-test.yml index 67d1558dbcaaff..a33cdacd80ffd4 100644 --- a/.github/workflows/db-migration-test.yml +++ b/.github/workflows/db-migration-test.yml @@ -23,18 +23,17 @@ 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: 'poetry' cache-dependency-path: | api/pyproject.toml api/poetry.lock + - name: Install Poetry + uses: abatilo/actions-poetry@v3 + - name: Install dependencies run: poetry install -C api diff --git a/.github/workflows/style.yml b/.github/workflows/style.yml index 246854cf0bfd4c..7eb60aa51ed991 100644 --- a/.github/workflows/style.yml +++ b/.github/workflows/style.yml @@ -31,6 +31,7 @@ jobs: python-version: '3.10' - name: Install Poetry + if: steps.changed-files.outputs.any_changed == 'true' uses: abatilo/actions-poetry@v3 - name: Python dependencies From 9b8aa9b75dc9b8c23c064893bbc1c9885ce95e41 Mon Sep 17 00:00:00 2001 From: Jason Tan Date: Tue, 15 Oct 2024 19:00:05 +0800 Subject: [PATCH 15/30] feat: add minimax abab6.5t support (#9365) --- .../minimax/llm/abab6.5t-chat.yaml | 44 +++++++++++++++++++ 1 file changed, 44 insertions(+) create mode 100644 api/core/model_runtime/model_providers/minimax/llm/abab6.5t-chat.yaml diff --git a/api/core/model_runtime/model_providers/minimax/llm/abab6.5t-chat.yaml b/api/core/model_runtime/model_providers/minimax/llm/abab6.5t-chat.yaml new file mode 100644 index 00000000000000..cc8a3aa0ecdb70 --- /dev/null +++ b/api/core/model_runtime/model_providers/minimax/llm/abab6.5t-chat.yaml @@ -0,0 +1,44 @@ +model: abab6.5t-chat +label: + en_US: Abab6.5t-Chat +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 8192 +parameter_rules: + - name: temperature + use_template: temperature + min: 0.01 + max: 1 + default: 0.9 + - name: top_p + use_template: top_p + min: 0.01 + max: 1 + default: 0.95 + - name: max_tokens + use_template: max_tokens + required: true + default: 3072 + min: 1 + max: 8192 + - name: mask_sensitive_info + type: boolean + default: true + label: + zh_Hans: 隐私保护 + en_US: Moderate + help: + zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码,目前包括但不限于邮箱、域名、链接、证件号、家庭住址等,默认true,即开启打码 + en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id.. + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty +pricing: + input: '0.005' + output: '0.005' + unit: '0.001' + currency: RMB From bc0dad6c1c99f9df80f53113bdce03c0b41d1851 Mon Sep 17 00:00:00 2001 From: ice yao Date: Tue, 15 Oct 2024 19:12:07 +0800 Subject: [PATCH 16/30] fix: add missing vikingdb param in docker .env.example (#9334) --- docker/.env.example | 19 ++++++++++++++----- 1 file changed, 14 insertions(+), 5 deletions(-) diff --git a/docker/.env.example b/docker/.env.example index 969deadf679212..f670879b2ae9df 100644 --- a/docker/.env.example +++ b/docker/.env.example @@ -58,7 +58,7 @@ DEBUG=false # which is convenient for debugging. FLASK_DEBUG=false -# A secretkey that is used for securely signing the session cookie +# A secretkey that is used for securely signing the session cookie # and encrypting sensitive information on the database. # You can generate a strong key using `openssl rand -base64 42`. SECRET_KEY=sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U @@ -366,8 +366,8 @@ SUPABASE_URL=your-server-url # Vector Database Configuration # ------------------------------ -# The type of vector store to use. -# Supported values are `weaviate`, `qdrant`, `milvus`, `myscale`, `relyt`, `pgvector`, `pgvecto-rs`, ``chroma`, `opensearch`, `tidb_vector`, `oracle`, `tencent`, `elasticsearch`, `analyticdb`. +# The type of vector store to use. +# Supported values are `weaviate`, `qdrant`, `milvus`, `myscale`, `relyt`, `pgvector`, `pgvecto-rs`, `chroma`, `opensearch`, `tidb_vector`, `oracle`, `tencent`, `elasticsearch`, `analyticdb`, `vikingdb`. VECTOR_STORE=weaviate # The Weaviate endpoint URL. Only available when VECTOR_STORE is `weaviate`. @@ -492,6 +492,15 @@ BAIDU_VECTOR_DB_DATABASE=dify BAIDU_VECTOR_DB_SHARD=1 BAIDU_VECTOR_DB_REPLICAS=3 +# VikingDB configurations, only available when VECTOR_STORE is `vikingdb` +VIKINGDB_ACCESS_KEY=your-ak +VIKINGDB_SECRET_KEY=your-sk +VIKINGDB_REGION=cn-shanghai +VIKINGDB_HOST=api-vikingdb.xxx.volces.com +VIKINGDB_SCHEMA=http +VIKINGDB_CONNECTION_TIMEOUT=30 +VIKINGDB_SOCKET_TIMEOUT=30 + # ------------------------------ # Knowledge Configuration # ------------------------------ @@ -668,7 +677,7 @@ SANDBOX_PORT=8194 # Environment Variables for weaviate Service # (only used when VECTOR_STORE is weaviate) # ------------------------------ -WEAVIATE_PERSISTENCE_DATA_PATH='/var/lib/weaviate' +WEAVIATE_PERSISTENCE_DATA_PATH=/var/lib/weaviate WEAVIATE_QUERY_DEFAULTS_LIMIT=25 WEAVIATE_AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED=true WEAVIATE_DEFAULT_VECTORIZER_MODULE=none @@ -829,4 +838,4 @@ POSITION_PROVIDER_PINS= POSITION_PROVIDER_INCLUDES= POSITION_PROVIDER_EXCLUDES= # CSP https://developer.mozilla.org/en-US/docs/Web/HTTP/CSP -CSP_WHITELIST= \ No newline at end of file +CSP_WHITELIST= From da25b919804fce335a21478159a2c6e422958789 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=9D=9E=E6=B3=95=E6=93=8D=E4=BD=9C?= Date: Tue, 15 Oct 2024 19:13:43 +0800 Subject: [PATCH 17/30] fix: remove the stream option of zhipu and gemini (#9319) --- .../model_providers/google/llm/gemini-1.5-flash-001.yaml | 9 --------- .../model_providers/google/llm/gemini-1.5-flash-002.yaml | 9 --------- .../google/llm/gemini-1.5-flash-8b-exp-0827.yaml | 9 --------- .../google/llm/gemini-1.5-flash-8b-exp-0924.yaml | 9 --------- .../google/llm/gemini-1.5-flash-exp-0827.yaml | 9 --------- .../google/llm/gemini-1.5-flash-latest.yaml | 9 --------- .../model_providers/google/llm/gemini-1.5-flash.yaml | 9 --------- .../model_providers/google/llm/gemini-1.5-pro-001.yaml | 9 --------- .../model_providers/google/llm/gemini-1.5-pro-002.yaml | 9 --------- .../google/llm/gemini-1.5-pro-exp-0801.yaml | 9 --------- .../google/llm/gemini-1.5-pro-exp-0827.yaml | 9 --------- .../google/llm/gemini-1.5-pro-latest.yaml | 9 --------- .../model_providers/google/llm/gemini-1.5-pro.yaml | 9 --------- .../model_providers/google/llm/gemini-pro-vision.yaml | 9 --------- .../model_providers/google/llm/gemini-pro.yaml | 9 --------- .../model_providers/zhipuai/llm/chatglm_turbo.yaml | 9 --------- .../model_providers/zhipuai/llm/glm-4-0520.yaml | 9 --------- .../model_providers/zhipuai/llm/glm-4-air.yaml | 9 --------- .../model_providers/zhipuai/llm/glm-4-airx.yaml | 9 --------- .../model_providers/zhipuai/llm/glm-4-flash.yaml | 9 --------- .../model_providers/zhipuai/llm/glm_3_turbo.yaml | 9 --------- .../model_runtime/model_providers/zhipuai/llm/glm_4.yaml | 9 --------- .../model_providers/zhipuai/llm/glm_4_long.yaml | 9 --------- .../model_providers/zhipuai/llm/glm_4_plus.yaml | 9 --------- .../model_providers/zhipuai/llm/glm_4v.yaml | 9 --------- .../model_providers/zhipuai/llm/glm_4v_plus.yaml | 9 --------- 26 files changed, 234 deletions(-) diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-001.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-001.yaml index d84e9937e0b661..8d8cd248474bbe 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-001.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-001.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果,而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-002.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-002.yaml index 2ff70564b2a951..ae6b85cb23044d 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-002.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-002.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果,而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0827.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0827.yaml index 4e0209890a336a..bbc697e934e055 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0827.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0827.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果,而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml index 2aea8149f4c794..890faf8c3f497a 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果,而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-exp-0827.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-exp-0827.yaml index faabc5e4d13a73..c5695e5dda8eb0 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-exp-0827.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-exp-0827.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果,而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-latest.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-latest.yaml index a22fcca9419b91..d1c264c3a7f662 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-latest.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-latest.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果,而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash.yaml index dfd55c3a949c97..6b794e9beeec60 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果,而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-001.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-001.yaml index a1feff171d48c2..9ac5e3ad1b95a9 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-001.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-001.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果,而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-002.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-002.yaml index 9ae07a06c5118b..f1d01d0763d710 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-002.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-002.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果,而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0801.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0801.yaml index 97c68f7a18d91e..0a918e0d7b1ac3 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0801.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0801.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果,而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0827.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0827.yaml index 860e4816a163cc..7452ce46e7dcb6 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0827.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0827.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果,而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-latest.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-latest.yaml index d1bf7d269de765..65c2d97e924ef5 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-latest.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-latest.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果,而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro.yaml index bdd70b34a21dc5..12620b57b61ee3 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果,而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-pro-vision.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-pro-vision.yaml index 2d213d56adb9c7..075e484e469308 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-pro-vision.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-pro-vision.yaml @@ -27,15 +27,6 @@ parameter_rules: default: 4096 min: 1 max: 4096 - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果,而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-pro.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-pro.yaml index e2f487c1ee9219..4e9f59e7da94f0 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-pro.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-pro.yaml @@ -31,15 +31,6 @@ parameter_rules: max: 2048 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果,而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_turbo.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_turbo.yaml index 18a0adec6751a1..049fae6c1676b9 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_turbo.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_turbo.yaml @@ -28,15 +28,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略,do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时,此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true,模型将通过标准 Event Stream ,逐块返回模型生成内容。Event Stream 结束时会返回一条data:[DONE]消息。注意:在模型流式输出生成内容的过程中,我们会分批对模型生成内容进行检测,当检测到违法及不良信息时,API会返回错误码(1301)。开发者识别到错误码(1301),应及时采取(清屏、重启对话)等措施删除生成内容,并确保不将含有违法及不良信息的内容传递给模型继续生成,避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data:[DONE] message will be sent at the end of the Event Stream.Note:During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: return_type label: zh_Hans: 回复类型 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 index 7fcf6922023fbf..7c8da51d1b82ff 100644 --- 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 @@ -32,15 +32,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略,do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时,此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true,模型将通过标准 Event Stream ,逐块返回模型生成内容。Event Stream 结束时会返回一条data:[DONE]消息。注意:在模型流式输出生成内容的过程中,我们会分批对模型生成内容进行检测,当检测到违法及不良信息时,API会返回错误码(1301)。开发者识别到错误码(1301),应及时采取(清屏、重启对话)等措施删除生成内容,并确保不将含有违法及不良信息的内容传递给模型继续生成,避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data:[DONE] message will be sent at the end of the Event Stream.Note:During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: max_tokens use_template: max_tokens default: 1024 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 index fcd7c7768c7179..7a7b4b0892785e 100644 --- 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 @@ -32,15 +32,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略,do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时,此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true,模型将通过标准 Event Stream ,逐块返回模型生成内容。Event Stream 结束时会返回一条data:[DONE]消息。注意:在模型流式输出生成内容的过程中,我们会分批对模型生成内容进行检测,当检测到违法及不良信息时,API会返回错误码(1301)。开发者识别到错误码(1301),应及时采取(清屏、重启对话)等措施删除生成内容,并确保不将含有违法及不良信息的内容传递给模型继续生成,避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data:[DONE] message will be sent at the end of the Event Stream.Note:During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: max_tokens use_template: max_tokens default: 1024 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 index c9ae5abf196360..09ad842801eb9d 100644 --- 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 @@ -32,15 +32,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略,do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时,此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true,模型将通过标准 Event Stream ,逐块返回模型生成内容。Event Stream 结束时会返回一条data:[DONE]消息。注意:在模型流式输出生成内容的过程中,我们会分批对模型生成内容进行检测,当检测到违法及不良信息时,API会返回错误码(1301)。开发者识别到错误码(1301),应及时采取(清屏、重启对话)等措施删除生成内容,并确保不将含有违法及不良信息的内容传递给模型继续生成,避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data:[DONE] message will be sent at the end of the Event Stream.Note:During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: max_tokens use_template: max_tokens default: 1024 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 index 98c4f72c7237f7..aee82a0602a995 100644 --- 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 @@ -32,15 +32,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略,do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时,此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true,模型将通过标准 Event Stream ,逐块返回模型生成内容。Event Stream 结束时会返回一条data:[DONE]消息。注意:在模型流式输出生成内容的过程中,我们会分批对模型生成内容进行检测,当检测到违法及不良信息时,API会返回错误码(1301)。开发者识别到错误码(1301),应及时采取(清屏、重启对话)等措施删除生成内容,并确保不将含有违法及不良信息的内容传递给模型继续生成,避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data:[DONE] message will be sent at the end of the Event Stream.Note:During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: max_tokens use_template: max_tokens default: 1024 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml index 0b5391ce2f83fd..791a77ba157cf7 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml @@ -32,15 +32,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略,do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时,此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true,模型将通过标准 Event Stream ,逐块返回模型生成内容。Event Stream 结束时会返回一条data:[DONE]消息。注意:在模型流式输出生成内容的过程中,我们会分批对模型生成内容进行检测,当检测到违法及不良信息时,API会返回错误码(1301)。开发者识别到错误码(1301),应及时采取(清屏、重启对话)等措施删除生成内容,并确保不将含有违法及不良信息的内容传递给模型继续生成,避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data:[DONE] message will be sent at the end of the Event Stream.Note:During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: max_tokens use_template: max_tokens default: 1024 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml index 62f453fb775b9b..13ed1e49c99a2a 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml @@ -32,15 +32,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略,do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时,此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true,模型将通过标准 Event Stream ,逐块返回模型生成内容。Event Stream 结束时会返回一条data:[DONE]消息。注意:在模型流式输出生成内容的过程中,我们会分批对模型生成内容进行检测,当检测到违法及不良信息时,API会返回错误码(1301)。开发者识别到错误码(1301),应及时采取(清屏、重启对话)等措施删除生成内容,并确保不将含有违法及不良信息的内容传递给模型继续生成,避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data:[DONE] message will be sent at the end of the Event Stream.Note:During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: max_tokens use_template: max_tokens default: 1024 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml index 350b080c3fc11b..badcee22db77b1 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml @@ -35,15 +35,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略,do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时,此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true,模型将通过标准 Event Stream ,逐块返回模型生成内容。Event Stream 结束时会返回一条data:[DONE]消息。注意:在模型流式输出生成内容的过程中,我们会分批对模型生成内容进行检测,当检测到违法及不良信息时,API会返回错误码(1301)。开发者识别到错误码(1301),应及时采取(清屏、重启对话)等措施删除生成内容,并确保不将含有违法及不良信息的内容传递给模型继续生成,避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data:[DONE] message will be sent at the end of the Event Stream.Note:During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: max_tokens use_template: max_tokens default: 1024 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml index 2d7ebd71cf26e1..e2f785e1bc4383 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml @@ -32,15 +32,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略,do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时,此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true,模型将通过标准 Event Stream ,逐块返回模型生成内容。Event Stream 结束时会返回一条data:[DONE]消息。注意:在模型流式输出生成内容的过程中,我们会分批对模型生成内容进行检测,当检测到违法及不良信息时,API会返回错误码(1301)。开发者识别到错误码(1301),应及时采取(清屏、重启对话)等措施删除生成内容,并确保不将含有违法及不良信息的内容传递给模型继续生成,避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data:[DONE] message will be sent at the end of the Event Stream.Note:During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: max_tokens use_template: max_tokens default: 1024 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml index 3a1120ff375c19..3baa298300a8e1 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml @@ -30,15 +30,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略,do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时,此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true,模型将通过标准 Event Stream ,逐块返回模型生成内容。Event Stream 结束时会返回一条data:[DONE]消息。注意:在模型流式输出生成内容的过程中,我们会分批对模型生成内容进行检测,当检测到违法及不良信息时,API会返回错误码(1301)。开发者识别到错误码(1301),应及时采取(清屏、重启对话)等措施删除生成内容,并确保不将含有违法及不良信息的内容传递给模型继续生成,避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data:[DONE] message will be sent at the end of the Event Stream.Note:During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: max_tokens use_template: max_tokens default: 1024 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml index 14b9623e5a8c44..91550ceee8e6fb 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml @@ -30,15 +30,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略,do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时,此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true,模型将通过标准 Event Stream ,逐块返回模型生成内容。Event Stream 结束时会返回一条data:[DONE]消息。注意:在模型流式输出生成内容的过程中,我们会分批对模型生成内容进行检测,当检测到违法及不良信息时,API会返回错误码(1301)。开发者识别到错误码(1301),应及时采取(清屏、重启对话)等措施删除生成内容,并确保不将含有违法及不良信息的内容传递给模型继续生成,避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data:[DONE] message will be sent at the end of the Event Stream.Note:During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: max_tokens use_template: max_tokens default: 1024 From 568d5c46ed1024ab046d80cdc21c92357597c73c Mon Sep 17 00:00:00 2001 From: ice yao Date: Wed, 16 Oct 2024 09:41:28 +0800 Subject: [PATCH 18/30] feat: Enable baiduvector intergration test (#9369) --- .../vdb/__mock/baiduvectordb.py | 71 +++++++++++-------- .../integration_tests/vdb/baidu/test_baidu.py | 3 - dev/pytest/pytest_vdb.sh | 3 +- 3 files changed, 43 insertions(+), 34 deletions(-) diff --git a/api/tests/integration_tests/vdb/__mock/baiduvectordb.py b/api/tests/integration_tests/vdb/__mock/baiduvectordb.py index a8eaf42b7de1de..f20833ea5666de 100644 --- a/api/tests/integration_tests/vdb/__mock/baiduvectordb.py +++ b/api/tests/integration_tests/vdb/__mock/baiduvectordb.py @@ -1,4 +1,5 @@ import os +from unittest.mock import MagicMock import pytest from _pytest.monkeypatch import MonkeyPatch @@ -10,26 +11,31 @@ from requests.adapters import HTTPAdapter +class AttrDict(dict): + def __getattr__(self, item): + return self.get(item) + + class MockBaiduVectorDBClass: def mock_vector_db_client( self, config=None, adapter: HTTPAdapter = None, ): - self._conn = None - self._config = None + self.conn = MagicMock() + self._config = MagicMock() def list_databases(self, config=None) -> list[Database]: return [ Database( - conn=self._conn, + conn=self.conn, database_name="dify", config=self._config, ) ] def create_database(self, database_name: str, config=None) -> Database: - return Database(conn=self._conn, database_name=database_name, config=config) + return Database(conn=self.conn, database_name=database_name, config=config) def list_table(self, config=None) -> list[Table]: return [] @@ -88,16 +94,18 @@ def query( read_consistency=ReadConsistency.EVENTUAL, config=None, ): - return { - "row": { - "id": "doc_id_001", - "vector": [0.23432432, 0.8923744, 0.89238432], - "text": "text", - "metadata": {"doc_id": "doc_id_001"}, - }, - "code": 0, - "msg": "Success", - } + return AttrDict( + { + "row": { + "id": primary_key.get("id"), + "vector": [0.23432432, 0.8923744, 0.89238432], + "text": "text", + "metadata": '{"doc_id": "doc_id_001"}', + }, + "code": 0, + "msg": "Success", + } + ) def delete(self, primary_key=None, partition_key=None, filter=None, config=None): return {"code": 0, "msg": "Success"} @@ -111,22 +119,24 @@ def search( read_consistency=ReadConsistency.EVENTUAL, config=None, ): - return { - "rows": [ - { - "row": { - "id": "doc_id_001", - "vector": [0.23432432, 0.8923744, 0.89238432], - "text": "text", - "metadata": {"doc_id": "doc_id_001"}, - }, - "distance": 0.1, - "score": 0.5, - } - ], - "code": 0, - "msg": "Success", - } + return AttrDict( + { + "rows": [ + { + "row": { + "id": "doc_id_001", + "vector": [0.23432432, 0.8923744, 0.89238432], + "text": "text", + "metadata": '{"doc_id": "doc_id_001"}', + }, + "distance": 0.1, + "score": 0.5, + } + ], + "code": 0, + "msg": "Success", + } + ) MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true" @@ -146,6 +156,7 @@ def setup_baiduvectordb_mock(request, monkeypatch: MonkeyPatch): monkeypatch.setattr(Table, "rebuild_index", MockBaiduVectorDBClass.rebuild_index) monkeypatch.setattr(Table, "describe_index", MockBaiduVectorDBClass.describe_index) monkeypatch.setattr(Table, "delete", MockBaiduVectorDBClass.delete) + monkeypatch.setattr(Table, "query", MockBaiduVectorDBClass.query) monkeypatch.setattr(Table, "search", MockBaiduVectorDBClass.search) yield diff --git a/api/tests/integration_tests/vdb/baidu/test_baidu.py b/api/tests/integration_tests/vdb/baidu/test_baidu.py index 01a7f8853ac367..5dc2ce4f82e18d 100644 --- a/api/tests/integration_tests/vdb/baidu/test_baidu.py +++ b/api/tests/integration_tests/vdb/baidu/test_baidu.py @@ -4,9 +4,6 @@ from tests.integration_tests.vdb.__mock.baiduvectordb import setup_baiduvectordb_mock from tests.integration_tests.vdb.test_vector_store import AbstractVectorTest, get_example_text, setup_mock_redis -mock_client = MagicMock() -mock_client.list_databases.return_value = [{"name": "test"}] - class BaiduVectorTest(AbstractVectorTest): def __init__(self): diff --git a/dev/pytest/pytest_vdb.sh b/dev/pytest/pytest_vdb.sh index 6809ef7c6f74c2..ea1e7d4c806a5e 100755 --- a/dev/pytest/pytest_vdb.sh +++ b/dev/pytest/pytest_vdb.sh @@ -8,4 +8,5 @@ pytest api/tests/integration_tests/vdb/chroma \ api/tests/integration_tests/vdb/qdrant \ api/tests/integration_tests/vdb/weaviate \ api/tests/integration_tests/vdb/elasticsearch \ - api/tests/integration_tests/vdb/vikingdb + api/tests/integration_tests/vdb/vikingdb \ + api/tests/integration_tests/vdb/baidu From 423df670422c7f81d54f9183ab6b906a86bb4e1c Mon Sep 17 00:00:00 2001 From: crazywoola <100913391+crazywoola@users.noreply.github.com> Date: Wed, 16 Oct 2024 10:18:06 +0800 Subject: [PATCH 19/30] fix: use gpt-4o-mini for validating credentials (#9387) --- api/core/model_runtime/model_providers/openai/openai.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/api/core/model_runtime/model_providers/openai/openai.py b/api/core/model_runtime/model_providers/openai/openai.py index 175d7db73c46d4..aa6f38ce9fae5a 100644 --- a/api/core/model_runtime/model_providers/openai/openai.py +++ b/api/core/model_runtime/model_providers/openai/openai.py @@ -19,9 +19,9 @@ def validate_provider_credentials(self, credentials: Mapping) -> None: try: model_instance = self.get_model_instance(ModelType.LLM) - # Use `gpt-3.5-turbo` model for validate, + # Use `gpt-4o-mini` model for validate, # no matter what model you pass in, text completion model or chat model - model_instance.validate_credentials(model="gpt-3.5-turbo", credentials=credentials) + model_instance.validate_credentials(model="gpt-4o-mini", credentials=credentials) except CredentialsValidateFailedError as ex: raise ex except Exception as ex: From 5df1cb0566aa852835a7b68b73e5460500b29327 Mon Sep 17 00:00:00 2001 From: Hash Brown Date: Wed, 16 Oct 2024 10:18:48 +0800 Subject: [PATCH 20/30] feat: storybook (#9324) --- web/.eslintrc.json | 3 +- web/.gitignore | 3 +- web/.storybook/main.ts | 19 + web/.storybook/preview.tsx | 37 + web/.storybook/storybook.css | 6 + web/README.md | 12 + .../components/base/button/index.stories.tsx | 107 + .../chat/answer/__mocks__/markdownContent.ts | 61 + .../answer/__mocks__/markdownContentSVG.ts | 27 + .../chat/answer/__mocks__/workflowProcess.ts | 136 + .../base/chat/chat/answer/index.stories.tsx | 96 + .../base/chat/chat/question.stories.tsx | 33 + web/package.json | 16 +- web/yarn.lock | 5379 +++++++++++++++-- 14 files changed, 5437 insertions(+), 498 deletions(-) create mode 100644 web/.storybook/main.ts create mode 100644 web/.storybook/preview.tsx create mode 100644 web/.storybook/storybook.css create mode 100644 web/app/components/base/button/index.stories.tsx create mode 100644 web/app/components/base/chat/chat/answer/__mocks__/markdownContent.ts create mode 100644 web/app/components/base/chat/chat/answer/__mocks__/markdownContentSVG.ts create mode 100644 web/app/components/base/chat/chat/answer/__mocks__/workflowProcess.ts create mode 100644 web/app/components/base/chat/chat/answer/index.stories.tsx create mode 100644 web/app/components/base/chat/chat/question.stories.tsx diff --git a/web/.eslintrc.json b/web/.eslintrc.json index 53308105b63c4c..18b6bc6016ff56 100644 --- a/web/.eslintrc.json +++ b/web/.eslintrc.json @@ -1,7 +1,8 @@ { "extends": [ "next", - "@antfu" + "@antfu", + "plugin:storybook/recommended" ], "rules": { "@typescript-eslint/consistent-type-definitions": [ diff --git a/web/.gitignore b/web/.gitignore index 9dd00b1b08aafb..71d6260ff50372 100644 --- a/web/.gitignore +++ b/web/.gitignore @@ -49,4 +49,5 @@ package-lock.json # pmpm pnpm-lock.yaml -.favorites.json \ No newline at end of file +.favorites.json +*storybook.log \ No newline at end of file diff --git a/web/.storybook/main.ts b/web/.storybook/main.ts new file mode 100644 index 00000000000000..74e95821de5714 --- /dev/null +++ b/web/.storybook/main.ts @@ -0,0 +1,19 @@ +import type { StorybookConfig } from '@storybook/nextjs' + +const config: StorybookConfig = { + // stories: ['../stories/**/*.mdx', '../stories/**/*.stories.@(js|jsx|mjs|ts|tsx)'], + stories: ['../app/components/**/*.stories.@(js|jsx|mjs|ts|tsx)'], + addons: [ + '@storybook/addon-onboarding', + '@storybook/addon-links', + '@storybook/addon-essentials', + '@chromatic-com/storybook', + '@storybook/addon-interactions', + ], + framework: { + name: '@storybook/nextjs', + options: {}, + }, + staticDirs: ['../public'], +} +export default config diff --git a/web/.storybook/preview.tsx b/web/.storybook/preview.tsx new file mode 100644 index 00000000000000..49cd24e97483b9 --- /dev/null +++ b/web/.storybook/preview.tsx @@ -0,0 +1,37 @@ +import React from 'react' +import type { Preview } from '@storybook/react' +import { withThemeByDataAttribute } from '@storybook/addon-themes'; +import I18nServer from '../app/components/i18n-server' + +import '../app/styles/globals.css' +import '../app/styles/markdown.scss' +import './storybook.css' + +export const decorators = [ + withThemeByDataAttribute({ + themes: { + light: 'light', + dark: 'dark', + }, + defaultTheme: 'light', + attributeName: 'data-theme', + }), + Story => { + return + + + } + ]; + +const preview: Preview = { + parameters: { + controls: { + matchers: { + color: /(background|color)$/i, + date: /Date$/i, + }, + }, + }, +} + +export default preview diff --git a/web/.storybook/storybook.css b/web/.storybook/storybook.css new file mode 100644 index 00000000000000..85df1087a00af0 --- /dev/null +++ b/web/.storybook/storybook.css @@ -0,0 +1,6 @@ +html, +body { + max-width: unset; + overflow: auto; + user-select: text; +} diff --git a/web/README.md b/web/README.md index a84ef21007bdaf..ce5239e57ffc35 100644 --- a/web/README.md +++ b/web/README.md @@ -74,6 +74,18 @@ If you want to customize the host and port: npm run start --port=3001 --host=0.0.0.0 ``` +## Storybook + +This project uses [Storybook](https://storybook.js.org/) for UI component development. + +To start the storybook server, run: + +```bash +yarn storybook +``` + +Open [http://localhost:6006](http://localhost:6006) with your browser to see the result. + ## Lint Code If your IDE is VSCode, rename `web/.vscode/settings.example.json` to `web/.vscode/settings.json` for lint code setting. diff --git a/web/app/components/base/button/index.stories.tsx b/web/app/components/base/button/index.stories.tsx new file mode 100644 index 00000000000000..2964275e126c3d --- /dev/null +++ b/web/app/components/base/button/index.stories.tsx @@ -0,0 +1,107 @@ +import type { Meta, StoryObj } from '@storybook/react' +import { fn } from '@storybook/test' + +import { RocketLaunchIcon } from '@heroicons/react/20/solid' +import { Button } from '.' + +const meta = { + title: 'Base/Button', + component: Button, + parameters: { + layout: 'centered', + }, + tags: ['autodocs'], + argTypes: { + loading: { control: 'boolean' }, + variant: { + control: 'select', + options: ['primary', 'warning', 'secondary', 'secondary-accent', 'ghost', 'ghost-accent', 'tertiary'], + }, + }, + args: { + variant: 'ghost', + onClick: fn(), + children: 'adsf', + }, +} satisfies Meta + +export default meta +type Story = StoryObj + +export const Default: Story = { + args: { + variant: 'primary', + loading: false, + children: 'Primary Button', + }, +} + +export const Secondary: Story = { + args: { + variant: 'secondary', + children: 'Secondary Button', + }, +} + +export const SecondaryAccent: Story = { + args: { + variant: 'secondary-accent', + children: 'Secondary Accent Button', + }, +} + +export const Ghost: Story = { + args: { + variant: 'ghost', + children: 'Ghost Button', + }, +} + +export const GhostAccent: Story = { + args: { + variant: 'ghost-accent', + children: 'Ghost Accent Button', + }, +} + +export const Tertiary: Story = { + args: { + variant: 'tertiary', + children: 'Tertiary Button', + }, +} + +export const Warning: Story = { + args: { + variant: 'warning', + children: 'Warning Button', + }, +} + +export const Disabled: Story = { + args: { + variant: 'primary', + disabled: true, + children: 'Disabled Button', + }, +} + +export const Loading: Story = { + args: { + variant: 'primary', + loading: true, + children: 'Loading Button', + }, +} + +export const WithIcon: Story = { + args: { + variant: 'primary', + children: ( + <> + + Launch + + ), + }, +} diff --git a/web/app/components/base/chat/chat/answer/__mocks__/markdownContent.ts b/web/app/components/base/chat/chat/answer/__mocks__/markdownContent.ts new file mode 100644 index 00000000000000..a7a25f55429910 --- /dev/null +++ b/web/app/components/base/chat/chat/answer/__mocks__/markdownContent.ts @@ -0,0 +1,61 @@ +export const markdownContent = ` +# Heading 1 + +## Heading 2 + +### Heading 3 + +#### Heading 4 + +##### Heading 5 + +###### Heading 6 + +# Basic markdown content. + +Should support **bold**, *italic*, and ~~strikethrough~~. +Should support [links](https://www.google.com). +Should support inline \`code\` blocks. + +# Number list + +1. First item +2. Second item +3. Third item + +# Bullet list + +- First item +- Second item +- Third item + +# Link + +[Google](https://www.google.com) + +# Image + +![Alt text](https://picsum.photos/200/300) + +# Table + +| Column 1 | Column 2 | Column 3 | +| -------- | -------- | -------- | +| Cell 1 | Cell 2 | Cell 3 | +| Cell 4 | Cell 5 | Cell 6 | +| Cell 7 | Cell 8 | Cell 9 | + +# Code + +\`\`\`JavaScript +const code = "code" +\`\`\` + +# Blockquote + +> This is a blockquote. + +# Horizontal rule + +--- +` diff --git a/web/app/components/base/chat/chat/answer/__mocks__/markdownContentSVG.ts b/web/app/components/base/chat/chat/answer/__mocks__/markdownContentSVG.ts new file mode 100644 index 00000000000000..67029cd163368f --- /dev/null +++ b/web/app/components/base/chat/chat/answer/__mocks__/markdownContentSVG.ts @@ -0,0 +1,27 @@ +export const markdownContentSVG = ` +\`\`\`svg + + + + 创意Logo设计 + + + + 科研 + 科学研究 + + + 探索未知的灯塔, + 照亮人类前进的道路。 + 科研,是永不熄灭的好奇心, + 也是推动世界进步的引擎。 + + + + + + + 探索 • 创新 • 进步 + +\`\`\` +` diff --git a/web/app/components/base/chat/chat/answer/__mocks__/workflowProcess.ts b/web/app/components/base/chat/chat/answer/__mocks__/workflowProcess.ts new file mode 100644 index 00000000000000..0c5fd3946f5d37 --- /dev/null +++ b/web/app/components/base/chat/chat/answer/__mocks__/workflowProcess.ts @@ -0,0 +1,136 @@ +import type { WorkflowProcess } from '@/app/components/base/chat/types' +import { WorkflowRunningStatus } from '@/app/components/workflow/types' + +export const mockedWorkflowProcess = { + status: WorkflowRunningStatus.Succeeded, + resultText: 'Hello, how can I assist you today?', + tracing: [ + { + extras: {}, + id: 'f6337dc9-e280-4915-965f-10b0552dd917', + node_id: '1724232060789', + node_type: 'start', + title: 'Start', + index: 1, + predecessor_node_id: null, + inputs: { + 'sys.query': 'hi', + 'sys.files': [], + 'sys.conversation_id': '92ce0a3e-8f15-43d1-b31d-32716c4b10a7', + 'sys.user_id': 'fbff43f9-d5a4-4e85-b63b-d3a91d806c6f', + 'sys.dialogue_count': 1, + 'sys.app_id': 'b2e8906a-aad3-43a0-9ace-0e44cc7315e1', + 'sys.workflow_id': '70004abe-561f-418b-b9e8-8c957ce55140', + 'sys.workflow_run_id': '69db9267-aaee-42e1-9581-dbfb67e8eeb5', + }, + process_data: null, + outputs: { + 'sys.query': 'hi', + 'sys.files': [], + 'sys.conversation_id': '92ce0a3e-8f15-43d1-b31d-32716c4b10a7', + 'sys.user_id': 'fbff43f9-d5a4-4e85-b63b-d3a91d806c6f', + 'sys.dialogue_count': 1, + 'sys.app_id': 'b2e8906a-aad3-43a0-9ace-0e44cc7315e1', + 'sys.workflow_id': '70004abe-561f-418b-b9e8-8c957ce55140', + 'sys.workflow_run_id': '69db9267-aaee-42e1-9581-dbfb67e8eeb5', + }, + status: 'succeeded', + error: null, + elapsed_time: 0.035744, + execution_metadata: null, + created_at: 1728980002, + finished_at: 1728980002, + files: [], + parallel_id: null, + parallel_start_node_id: null, + parent_parallel_id: null, + parent_parallel_start_node_id: null, + iteration_id: null, + }, + { + extras: {}, + id: '92204d8d-4198-4c46-aa02-c2754b11dec9', + node_id: 'llm', + node_type: 'llm', + title: 'LLM', + index: 2, + predecessor_node_id: '1724232060789', + inputs: null, + process_data: { + model_mode: 'chat', + prompts: [ + { + role: 'system', + text: 'hi', + files: [], + }, + { + role: 'user', + text: 'hi', + files: [], + }, + ], + model_provider: 'openai', + model_name: 'gpt-4o-mini', + }, + outputs: { + text: 'Hello! How can I assist you today?', + usage: { + prompt_tokens: 13, + prompt_unit_price: '0.15', + prompt_price_unit: '0.000001', + prompt_price: '0.0000020', + completion_tokens: 9, + completion_unit_price: '0.60', + completion_price_unit: '0.000001', + completion_price: '0.0000054', + total_tokens: 22, + total_price: '0.0000074', + currency: 'USD', + latency: 1.8902503330027685, + }, + finish_reason: 'stop', + }, + status: 'succeeded', + error: null, + elapsed_time: 5.089409, + execution_metadata: { + total_tokens: 22, + total_price: '0.0000074', + currency: 'USD', + }, + created_at: 1728980002, + finished_at: 1728980007, + files: [], + parallel_id: null, + parallel_start_node_id: null, + parent_parallel_id: null, + parent_parallel_start_node_id: null, + iteration_id: null, + }, + { + extras: {}, + id: '7149bac6-60f9-4e06-a5ed-1d9d3764c06b', + node_id: 'answer', + node_type: 'answer', + title: 'Answer', + index: 3, + predecessor_node_id: 'llm', + inputs: null, + process_data: null, + outputs: { + answer: 'Hello! How can I assist you today?', + }, + status: 'succeeded', + error: null, + elapsed_time: 0.015339, + execution_metadata: null, + created_at: 1728980007, + finished_at: 1728980007, + parallel_id: null, + parallel_start_node_id: null, + parent_parallel_id: null, + parent_parallel_start_node_id: null, + }, + ], +} as unknown as WorkflowProcess diff --git a/web/app/components/base/chat/chat/answer/index.stories.tsx b/web/app/components/base/chat/chat/answer/index.stories.tsx new file mode 100644 index 00000000000000..18bc1299940650 --- /dev/null +++ b/web/app/components/base/chat/chat/answer/index.stories.tsx @@ -0,0 +1,96 @@ +import type { Meta, StoryObj } from '@storybook/react' + +import type { ChatItem } from '../../types' +import { mockedWorkflowProcess } from './__mocks__/workflowProcess' +import { markdownContent } from './__mocks__/markdownContent' +import { markdownContentSVG } from './__mocks__/markdownContentSVG' +import Answer from '.' + +const meta = { + title: 'Base/Chat Answer', + component: Answer, + parameters: { + layout: 'fullscreen', + }, + tags: ['autodocs'], + argTypes: { + noChatInput: { control: 'boolean', description: 'If set to true, some buttons that are supposed to be shown on hover will not be displayed.' }, + responding: { control: 'boolean', description: 'Indicates if the answer is being generated.' }, + showPromptLog: { control: 'boolean', description: 'If set to true, the prompt log button will be shown on hover.' }, + }, + args: { + noChatInput: false, + responding: false, + showPromptLog: false, + }, +} satisfies Meta + +export default meta +type Story = StoryObj + +const mockedBaseChatItem = { + id: '1', + isAnswer: true, + content: 'Hello, how can I assist you today?', +} satisfies ChatItem + +export const Basic: Story = { + args: { + item: mockedBaseChatItem, + question: mockedBaseChatItem.content, + index: 0, + }, + render: (args) => { + return
+ +
+ }, +} + +export const WithWorkflowProcess: Story = { + args: { + item: { + ...mockedBaseChatItem, + workflowProcess: mockedWorkflowProcess, + }, + question: mockedBaseChatItem.content, + index: 0, + }, + render: (args) => { + return
+ +
+ }, +} + +export const WithMarkdownContent: Story = { + args: { + item: { + ...mockedBaseChatItem, + content: markdownContent, + }, + question: mockedBaseChatItem.content, + index: 0, + }, + render: (args) => { + return
+ +
+ }, +} + +export const WithMarkdownSVG: Story = { + args: { + item: { + ...mockedBaseChatItem, + content: markdownContentSVG, + }, + question: mockedBaseChatItem.content, + index: 0, + }, + render: (args) => { + return
+ +
+ }, +} diff --git a/web/app/components/base/chat/chat/question.stories.tsx b/web/app/components/base/chat/chat/question.stories.tsx new file mode 100644 index 00000000000000..450e88d0efee71 --- /dev/null +++ b/web/app/components/base/chat/chat/question.stories.tsx @@ -0,0 +1,33 @@ +import type { Meta, StoryObj } from '@storybook/react' + +import type { ChatItem } from '../types' +import Question from './question' +import { User } from '@/app/components/base/icons/src/public/avatar' + +const meta = { + title: 'Base/Chat Question', + component: Question, + parameters: { + layout: 'centered', + }, + tags: ['autodocs'], + argTypes: {}, + args: {}, +} satisfies Meta + +export default meta +type Story = StoryObj + +export const Default: Story = { + args: { + item: { + id: '1', + isAnswer: false, + content: 'You are a helpful assistant.', + } satisfies ChatItem, + theme: undefined, + questionIcon:
+ +
, + }, +} diff --git a/web/package.json b/web/package.json index 9707b9753feafc..7c0977a44ade51 100644 --- a/web/package.json +++ b/web/package.json @@ -18,7 +18,9 @@ "check-i18n": "node ./i18n/check-i18n.js", "auto-gen-i18n": "node ./i18n/auto-gen-i18n.js", "test": "jest", - "test:watch": "jest --watch" + "test:watch": "jest --watch", + "storybook": "storybook dev -p 6006", + "build-storybook": "storybook build" }, "dependencies": { "@babel/runtime": "^7.22.3", @@ -106,8 +108,18 @@ }, "devDependencies": { "@antfu/eslint-config": "^0.36.0", + "@chromatic-com/storybook": "^1.9.0", "@faker-js/faker": "^7.6.0", "@rgrove/parse-xml": "^4.1.0", + "@storybook/addon-essentials": "^8.3.5", + "@storybook/addon-interactions": "^8.3.5", + "@storybook/addon-links": "^8.3.5", + "@storybook/addon-onboarding": "^8.3.5", + "@storybook/addon-themes": "^8.3.5", + "@storybook/blocks": "^8.3.5", + "@storybook/nextjs": "^8.3.5", + "@storybook/react": "^8.3.5", + "@storybook/test": "^8.3.5", 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use-sync-external-store "1.2.0" zwitch@^2.0.0: version "2.0.4" resolved "https://registry.npmjs.org/zwitch/-/zwitch-2.0.4.tgz" - integrity sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A== + integrity "sha1-yCfUsKy3b8PmhaTG7CkC1RBw6dc= sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==" From dd22e78515890ac3e641b30498fd04a626cd170b Mon Sep 17 00:00:00 2001 From: ice yao Date: Wed, 16 Oct 2024 10:44:54 +0800 Subject: [PATCH 21/30] fix: Deprecated gemma2-9b model in Fireworks AI Provider (#9373) --- .../model_providers/fireworks/llm/gemma2-9b-it.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/api/core/model_runtime/model_providers/fireworks/llm/gemma2-9b-it.yaml b/api/core/model_runtime/model_providers/fireworks/llm/gemma2-9b-it.yaml index ee41a7e2fdc3d5..61ab39482b09b4 100644 --- a/api/core/model_runtime/model_providers/fireworks/llm/gemma2-9b-it.yaml +++ b/api/core/model_runtime/model_providers/fireworks/llm/gemma2-9b-it.yaml @@ -43,3 +43,4 @@ pricing: output: '0.2' unit: '0.000001' currency: USD +deprecated: true From 7d3dad3d1d2c64379c24184faa22e2ce1ad26490 Mon Sep 17 00:00:00 2001 From: zhuhao <37029601+hwzhuhao@users.noreply.github.com> Date: Wed, 16 Oct 2024 11:17:40 +0800 Subject: [PATCH 22/30] feat: add timezone conversion for time tool (#9393) --- .../builtin/time/tools/timezone_conversion.py | 48 +++++++++++++++++++ .../time/tools/timezone_conversion.yaml | 44 +++++++++++++++++ 2 files changed, 92 insertions(+) create mode 100644 api/core/tools/provider/builtin/time/tools/timezone_conversion.py create mode 100644 api/core/tools/provider/builtin/time/tools/timezone_conversion.yaml diff --git a/api/core/tools/provider/builtin/time/tools/timezone_conversion.py b/api/core/tools/provider/builtin/time/tools/timezone_conversion.py new file mode 100644 index 00000000000000..28e70db5328527 --- /dev/null +++ b/api/core/tools/provider/builtin/time/tools/timezone_conversion.py @@ -0,0 +1,48 @@ +from datetime import datetime +from typing import Any, Union + +import pytz + +from core.tools.entities.tool_entities import ToolInvokeMessage +from core.tools.errors import ToolInvokeError +from core.tools.tool.builtin_tool import BuiltinTool + + +class TimezoneConversionTool(BuiltinTool): + def _invoke( + self, + user_id: str, + tool_parameters: dict[str, Any], + ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: + """ + Convert time to equivalent time zone + """ + current_time = tool_parameters.get("current_time") + current_timezone = tool_parameters.get("current_timezone", "Asia/Shanghai") + target_timezone = tool_parameters.get("target_timezone", "Asia/Tokyo") + target_time = self.timezone_convert(current_time, current_timezone, target_timezone) + if not target_time: + return self.create_text_message( + f"Invalid datatime and timezone: {current_time},{current_timezone},{target_timezone}" + ) + + return self.create_text_message(f"{target_time}") + + @staticmethod + def timezone_convert(current_time: str, source_timezone: str, target_timezone: str) -> str: + """ + Convert a time string from source timezone to target timezone. + """ + time_format = "%Y-%m-%d %H:%M:%S" + try: + # get source timezone + input_timezone = pytz.timezone(source_timezone) + # get target timezone + output_timezone = pytz.timezone(target_timezone) + local_time = datetime.strptime(current_time, time_format) + datetime_with_tz = input_timezone.localize(local_time) + # timezone convert + converted_datetime = datetime_with_tz.astimezone(output_timezone) + return converted_datetime.strftime(format=time_format) + except Exception as e: + raise ToolInvokeError(str(e)) diff --git a/api/core/tools/provider/builtin/time/tools/timezone_conversion.yaml b/api/core/tools/provider/builtin/time/tools/timezone_conversion.yaml new file mode 100644 index 00000000000000..4c221c2e512208 --- /dev/null +++ b/api/core/tools/provider/builtin/time/tools/timezone_conversion.yaml @@ -0,0 +1,44 @@ +identity: + name: timezone_conversion + author: zhuhao + label: + en_US: convert time to equivalent time zone + zh_Hans: 时区转换 +description: + human: + en_US: A tool to convert time to equivalent time zone + zh_Hans: 时区转换 + llm: A tool to convert time to equivalent time zone +parameters: + - name: current_time + type: string + required: true + form: llm + label: + en_US: current time + zh_Hans: 当前时间 + human_description: + en_US: current time, such as 2024-1-1 0:0:0 + zh_Hans: 当前时间, 比如2024-1-1 0:0:0 + - name: current_timezone + type: string + required: true + form: llm + label: + en_US: Current Timezone + zh_Hans: 当前时区 + human_description: + en_US: Current Timezone, such as Asia/Shanghai + zh_Hans: 当前时区, 比如Asia/Shanghai + default: Asia/Shanghai + - name: target_timezone + type: string + required: true + form: llm + label: + en_US: Target Timezone + zh_Hans: 目标时区 + human_description: + en_US: Target Timezone, such as Asia/Tokyo + zh_Hans: 目标时区, 比如Asia/Tokyo + default: Asia/Tokyo From 50635e9c1594e25e8393191d71e33bb4a73181ad Mon Sep 17 00:00:00 2001 From: Jyong <76649700+JohnJyong@users.noreply.github.com> Date: Wed, 16 Oct 2024 15:13:45 +0800 Subject: [PATCH 23/30] Fix/economical knowledge retrieval (#9396) --- api/core/rag/retrieval/dataset_retrieval.py | 6 +++--- .../nodes/knowledge_retrieval/knowledge_retrieval_node.py | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/api/core/rag/retrieval/dataset_retrieval.py b/api/core/rag/retrieval/dataset_retrieval.py index 633e41d5cf1ed6..3455cdc3c40905 100644 --- a/api/core/rag/retrieval/dataset_retrieval.py +++ b/api/core/rag/retrieval/dataset_retrieval.py @@ -217,7 +217,7 @@ def retrieve( "data_source_type": document.data_source_type, "segment_id": segment.id, "retriever_from": invoke_from.to_source(), - "score": document_score_list.get(segment.index_node_id, None), + "score": document_score_list.get(segment.index_node_id, 0.0), } if invoke_from.to_source() == "dev": @@ -231,12 +231,12 @@ def retrieve( source["content"] = segment.content retrieval_resource_list.append(source) if hit_callback and retrieval_resource_list: - retrieval_resource_list = sorted(retrieval_resource_list, key=lambda x: x.get("score"), reverse=True) + retrieval_resource_list = sorted(retrieval_resource_list, key=lambda x: x.get("score") or 0.0, reverse=True) for position, item in enumerate(retrieval_resource_list, start=1): item["position"] = position hit_callback.return_retriever_resource_info(retrieval_resource_list) if document_context_list: - document_context_list = sorted(document_context_list, key=lambda x: x.score, reverse=True) + document_context_list = sorted(document_context_list, key=lambda x: x.score or 0.0, reverse=True) return str("\n".join([document_context.content for document_context in document_context_list])) return "" diff --git a/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py b/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py index 0b3e9bd6a888ec..8cd208d7fc8d10 100644 --- a/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py +++ b/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py @@ -234,7 +234,7 @@ def _fetch_dataset_retriever(self, node_data: KnowledgeRetrievalNodeData, query: retrieval_resource_list.append(source) if retrieval_resource_list: retrieval_resource_list = sorted( - retrieval_resource_list, key=lambda x: x.get("metadata").get("score"), reverse=True + retrieval_resource_list, key=lambda x: x.get("metadata").get("score") or 0.0, reverse=True ) position = 1 for item in retrieval_resource_list: From a83ccccffc3c2756aac3afaef416120c16c2396e Mon Sep 17 00:00:00 2001 From: Leo <38490578+yuyinws@users.noreply.github.com> Date: Wed, 16 Oct 2024 15:31:47 +0800 Subject: [PATCH 24/30] fix: incorrect webapp image displayed (#9401) --- .../components/base/chat/chat-with-history/header-in-mobile.tsx | 2 ++ 1 file changed, 2 insertions(+) diff --git a/web/app/components/base/chat/chat-with-history/header-in-mobile.tsx b/web/app/components/base/chat/chat-with-history/header-in-mobile.tsx index 7082e6746225ad..41789400146807 100644 --- a/web/app/components/base/chat/chat-with-history/header-in-mobile.tsx +++ b/web/app/components/base/chat/chat-with-history/header-in-mobile.tsx @@ -28,6 +28,8 @@ const HeaderInMobile = () => { className='mr-2' size='tiny' icon={appData?.site.icon} + iconType={appData?.site.icon_type} + imageUrl={appData?.site.icon_url} background={appData?.site.icon_background} />
From 86594851cbd16a5ce50528af3e1fbb334ee94652 Mon Sep 17 00:00:00 2001 From: zhuhao <37029601+hwzhuhao@users.noreply.github.com> Date: Wed, 16 Oct 2024 16:00:21 +0800 Subject: [PATCH 25/30] refactor: update the default values of top-k parameter in vdb to be consistent (#9367) --- .../vdb/elasticsearch/elasticsearch_vector.py | 2 +- .../rag/datasource/vdb/myscale/myscale_vector.py | 2 +- api/core/rag/datasource/vdb/oracle/oraclevector.py | 10 +--------- .../rag/datasource/vdb/pgvecto_rs/pgvecto_rs.py | 14 +------------- api/core/rag/datasource/vdb/pgvector/pgvector.py | 2 +- api/core/rag/datasource/vdb/relyt/relyt_vector.py | 2 +- .../rag/datasource/vdb/tidb_vector/tidb_vector.py | 2 +- .../rag/datasource/vdb/vikingdb/vikingdb_vector.py | 2 +- .../rag/datasource/vdb/weaviate/weaviate_vector.py | 2 +- 9 files changed, 9 insertions(+), 29 deletions(-) diff --git a/api/core/rag/datasource/vdb/elasticsearch/elasticsearch_vector.py b/api/core/rag/datasource/vdb/elasticsearch/elasticsearch_vector.py index 66bc31a4bfaffa..f420373d5b208e 100644 --- a/api/core/rag/datasource/vdb/elasticsearch/elasticsearch_vector.py +++ b/api/core/rag/datasource/vdb/elasticsearch/elasticsearch_vector.py @@ -112,7 +112,7 @@ def delete(self) -> None: self._client.indices.delete(index=self._collection_name) def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]: - top_k = kwargs.get("top_k", 10) + top_k = kwargs.get("top_k", 4) num_candidates = math.ceil(top_k * 1.5) knn = {"field": Field.VECTOR.value, "query_vector": query_vector, "k": top_k, "num_candidates": num_candidates} diff --git a/api/core/rag/datasource/vdb/myscale/myscale_vector.py b/api/core/rag/datasource/vdb/myscale/myscale_vector.py index 2320a69a30ad11..b30aa7ca227864 100644 --- a/api/core/rag/datasource/vdb/myscale/myscale_vector.py +++ b/api/core/rag/datasource/vdb/myscale/myscale_vector.py @@ -121,7 +121,7 @@ def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]: return self._search(f"TextSearch('enable_nlq=false')(text, '{query}')", SortOrder.DESC, **kwargs) def _search(self, dist: str, order: SortOrder, **kwargs: Any) -> list[Document]: - top_k = kwargs.get("top_k", 5) + top_k = kwargs.get("top_k", 4) score_threshold = float(kwargs.get("score_threshold") or 0.0) where_str = ( f"WHERE dist < {1 - score_threshold}" diff --git a/api/core/rag/datasource/vdb/oracle/oraclevector.py b/api/core/rag/datasource/vdb/oracle/oraclevector.py index 77ec45b4d39507..84a4381cd1dcfb 100644 --- a/api/core/rag/datasource/vdb/oracle/oraclevector.py +++ b/api/core/rag/datasource/vdb/oracle/oraclevector.py @@ -168,14 +168,6 @@ def get_by_ids(self, ids: list[str]) -> list[Document]: docs.append(Document(page_content=record[1], metadata=record[0])) return docs - # def get_ids_by_metadata_field(self, key: str, value: str): - # with self._get_cursor() as cur: - # cur.execute(f"SELECT id FROM {self.table_name} d WHERE d.meta.{key}='{value}'" ) - # idss = [] - # for record in cur: - # idss.append(record[0]) - # return idss - def delete_by_ids(self, ids: list[str]) -> None: with self._get_cursor() as cur: cur.execute(f"DELETE FROM {self.table_name} WHERE id IN %s" % (tuple(ids),)) @@ -192,7 +184,7 @@ def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Doc :param top_k: The number of nearest neighbors to return, default is 5. :return: List of Documents that are nearest to the query vector. """ - top_k = kwargs.get("top_k", 5) + top_k = kwargs.get("top_k", 4) with self._get_cursor() as cur: cur.execute( f"SELECT meta, text, vector_distance(embedding,:1) AS distance FROM {self.table_name}" 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 de2d65b2233c6d..a82a9b96dd4310 100644 --- a/api/core/rag/datasource/vdb/pgvecto_rs/pgvecto_rs.py +++ b/api/core/rag/datasource/vdb/pgvecto_rs/pgvecto_rs.py @@ -186,7 +186,7 @@ def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Doc query_vector, ).label("distance"), ) - .limit(kwargs.get("top_k", 2)) + .limit(kwargs.get("top_k", 4)) .order_by("distance") ) res = session.execute(stmt) @@ -205,18 +205,6 @@ def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Doc return docs def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]: - # with Session(self._client) as session: - # select_statement = sql_text( - # f"SELECT text, meta FROM {self._collection_name} WHERE to_tsvector(text) @@ '{query}'::tsquery" - # ) - # results = session.execute(select_statement).fetchall() - # if results: - # docs = [] - # for result in results: - # doc = Document(page_content=result[0], - # metadata=result[1]) - # docs.append(doc) - # return docs return [] diff --git a/api/core/rag/datasource/vdb/pgvector/pgvector.py b/api/core/rag/datasource/vdb/pgvector/pgvector.py index 25a10a1e48090a..6f336d27e7c997 100644 --- a/api/core/rag/datasource/vdb/pgvector/pgvector.py +++ b/api/core/rag/datasource/vdb/pgvector/pgvector.py @@ -143,7 +143,7 @@ def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Doc :param top_k: The number of nearest neighbors to return, default is 5. :return: List of Documents that are nearest to the query vector. """ - top_k = kwargs.get("top_k", 5) + top_k = kwargs.get("top_k", 4) with self._get_cursor() as cur: cur.execute( diff --git a/api/core/rag/datasource/vdb/relyt/relyt_vector.py b/api/core/rag/datasource/vdb/relyt/relyt_vector.py index 254956970f6afa..13a63784be281e 100644 --- a/api/core/rag/datasource/vdb/relyt/relyt_vector.py +++ b/api/core/rag/datasource/vdb/relyt/relyt_vector.py @@ -224,7 +224,7 @@ def text_exists(self, id: str) -> bool: def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]: results = self.similarity_search_with_score_by_vector( - k=int(kwargs.get("top_k")), embedding=query_vector, filter=kwargs.get("filter") + k=int(kwargs.get("top_k", 4)), embedding=query_vector, filter=kwargs.get("filter") ) # Organize results. 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 20490d32154a43..7837c5a4aa138d 100644 --- a/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py +++ b/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py @@ -184,7 +184,7 @@ def delete_by_metadata_field(self, key: str, value: str) -> None: self._delete_by_ids(ids) def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]: - top_k = kwargs.get("top_k", 5) + top_k = kwargs.get("top_k", 4) score_threshold = float(kwargs.get("score_threshold") or 0.0) filter = kwargs.get("filter") distance = 1 - score_threshold diff --git a/api/core/rag/datasource/vdb/vikingdb/vikingdb_vector.py b/api/core/rag/datasource/vdb/vikingdb/vikingdb_vector.py index 22d0e92586fcb7..5f60f10acb2dcc 100644 --- a/api/core/rag/datasource/vdb/vikingdb/vikingdb_vector.py +++ b/api/core/rag/datasource/vdb/vikingdb/vikingdb_vector.py @@ -173,7 +173,7 @@ def delete_by_metadata_field(self, key: str, value: str) -> None: def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]: results = self._client.get_index(self._collection_name, self._index_name).search_by_vector( - query_vector, limit=kwargs.get("top_k", 50) + query_vector, limit=kwargs.get("top_k", 4) ) score_threshold = float(kwargs.get("score_threshold") or 0.0) return self._get_search_res(results, score_threshold) diff --git a/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py b/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py index 6eee344b9bc18f..4009efe7a7b007 100644 --- a/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py +++ b/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py @@ -235,7 +235,7 @@ def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]: query_obj = query_obj.with_where(kwargs.get("where_filter")) query_obj = query_obj.with_additional(["vector"]) properties = ["text"] - result = query_obj.with_bm25(query=query, properties=properties).with_limit(kwargs.get("top_k", 2)).do() + result = query_obj.with_bm25(query=query, properties=properties).with_limit(kwargs.get("top_k", 4)).do() if "errors" in result: raise ValueError(f"Error during query: {result['errors']}") docs = [] From a87890b3cc379bc68b98bb6b190fc674cacaaa88 Mon Sep 17 00:00:00 2001 From: DDDDD12138 <43703884+DDDDD12138@users.noreply.github.com> Date: Wed, 16 Oct 2024 17:40:17 +0800 Subject: [PATCH 26/30] fix: resolve overlap issue with API Extension selector and modal (#9407) --- .../api-based-extension-page/selector.tsx | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/web/app/components/header/account-setting/api-based-extension-page/selector.tsx b/web/app/components/header/account-setting/api-based-extension-page/selector.tsx index 3ac85e135b2fbf..fb1b22df3450a6 100644 --- a/web/app/components/header/account-setting/api-based-extension-page/selector.tsx +++ b/web/app/components/header/account-setting/api-based-extension-page/selector.tsx @@ -81,7 +81,10 @@ const ApiBasedExtensionSelector: FC = ({
setShowAccountSettingModal({ payload: 'api-based-extension' })} + onClick={() => { + setOpen(false) + setShowAccountSettingModal({ payload: 'api-based-extension' }) + }} > {t('common.apiBasedExtension.selector.manage')} @@ -106,7 +109,10 @@ const ApiBasedExtensionSelector: FC = ({
setShowApiBasedExtensionModal({ payload: {}, onSaveCallback: () => mutate() })} + onClick={() => { + setOpen(false) + setShowApiBasedExtensionModal({ payload: {}, onSaveCallback: () => mutate() }) + }} > {t('common.operation.add')} From bd678f9ca17f8d02312ad52bda83560bc717d127 Mon Sep 17 00:00:00 2001 From: Jyong <76649700+JohnJyong@users.noreply.github.com> Date: Wed, 16 Oct 2024 22:24:50 +0800 Subject: [PATCH 27/30] add clean 7 days datasets (#9424) --- api/schedule/clean_unused_datasets_task.py | 82 ++++++++++++++++++++++ 1 file changed, 82 insertions(+) diff --git a/api/schedule/clean_unused_datasets_task.py b/api/schedule/clean_unused_datasets_task.py index 3d799bfd4ef732..826842e52bf82a 100644 --- a/api/schedule/clean_unused_datasets_task.py +++ b/api/schedule/clean_unused_datasets_task.py @@ -9,7 +9,9 @@ from configs import dify_config from core.rag.index_processor.index_processor_factory import IndexProcessorFactory from extensions.ext_database import db +from extensions.ext_redis import redis_client from models.dataset import Dataset, DatasetQuery, Document +from services.feature_service import FeatureService @app.celery.task(queue="dataset") @@ -18,6 +20,7 @@ def clean_unused_datasets_task(): clean_days = dify_config.CLEAN_DAY_SETTING start_at = time.perf_counter() thirty_days_ago = datetime.datetime.now() - datetime.timedelta(days=clean_days) + seven_days_ago = datetime.datetime.now() - datetime.timedelta(days=7) page = 1 while True: try: @@ -88,5 +91,84 @@ def clean_unused_datasets_task(): click.echo( click.style("clean dataset index error: {} {}".format(e.__class__.__name__, str(e)), fg="red") ) + page = 1 + while True: + try: + # Subquery for counting new documents + document_subquery_new = ( + db.session.query(Document.dataset_id, func.count(Document.id).label("document_count")) + .filter( + Document.indexing_status == "completed", + Document.enabled == True, + Document.archived == False, + Document.updated_at > seven_days_ago, + ) + .group_by(Document.dataset_id) + .subquery() + ) + + # Subquery for counting old documents + document_subquery_old = ( + db.session.query(Document.dataset_id, func.count(Document.id).label("document_count")) + .filter( + Document.indexing_status == "completed", + Document.enabled == True, + Document.archived == False, + Document.updated_at < seven_days_ago, + ) + .group_by(Document.dataset_id) + .subquery() + ) + + # Main query with join and filter + datasets = ( + db.session.query(Dataset) + .outerjoin(document_subquery_new, Dataset.id == document_subquery_new.c.dataset_id) + .outerjoin(document_subquery_old, Dataset.id == document_subquery_old.c.dataset_id) + .filter( + Dataset.created_at < seven_days_ago, + func.coalesce(document_subquery_new.c.document_count, 0) == 0, + func.coalesce(document_subquery_old.c.document_count, 0) > 0, + ) + .order_by(Dataset.created_at.desc()) + .paginate(page=page, per_page=50) + ) + + except NotFound: + break + if datasets.items is None or len(datasets.items) == 0: + break + page += 1 + for dataset in datasets: + dataset_query = ( + db.session.query(DatasetQuery) + .filter(DatasetQuery.created_at > seven_days_ago, DatasetQuery.dataset_id == dataset.id) + .all() + ) + if not dataset_query or len(dataset_query) == 0: + try: + features_cache_key = f"features:{dataset.tenant_id}" + plan = redis_client.get(features_cache_key) + if plan is None: + features = FeatureService.get_features(dataset.tenant_id) + redis_client.setex(features_cache_key, 600, features.billing.subscription.plan) + plan = features.billing.subscription.plan + if plan == "sandbox": + # remove index + index_processor = IndexProcessorFactory(dataset.doc_form).init_index_processor() + index_processor.clean(dataset, None) + + # update document + update_params = {Document.enabled: False} + + Document.query.filter_by(dataset_id=dataset.id).update(update_params) + db.session.commit() + click.echo( + click.style("Cleaned unused dataset {} from db success!".format(dataset.id), fg="green") + ) + except Exception as e: + click.echo( + click.style("clean dataset index error: {} {}".format(e.__class__.__name__, str(e)), fg="red") + ) end_at = time.perf_counter() click.echo(click.style("Cleaned unused dataset from db success latency: {}".format(end_at - start_at), fg="green")) From 5aabb83f5a6319a4df92587ac0e33db6ab31b519 Mon Sep 17 00:00:00 2001 From: Jyong <76649700+JohnJyong@users.noreply.github.com> Date: Thu, 17 Oct 2024 10:40:22 +0800 Subject: [PATCH 28/30] update dataset clean rule (#9426) --- api/configs/feature/__init__.py | 9 ++- api/schedule/clean_unused_datasets_task.py | 23 +++--- api/schedule/clean_unused_messages_task.py | 92 ---------------------- 3 files changed, 19 insertions(+), 105 deletions(-) delete mode 100644 api/schedule/clean_unused_messages_task.py diff --git a/api/configs/feature/__init__.py b/api/configs/feature/__init__.py index a3334d16345e96..c44a51ee4bcb91 100644 --- a/api/configs/feature/__init__.py +++ b/api/configs/feature/__init__.py @@ -506,11 +506,16 @@ class DataSetConfig(BaseSettings): Configuration for dataset management """ - CLEAN_DAY_SETTING: PositiveInt = Field( - description="Interval in days for dataset cleanup operations", + PLAN_SANDBOX_CLEAN_DAY_SETTING: PositiveInt = Field( + description="Interval in days for dataset cleanup operations - plan: sandbox", default=30, ) + PLAN_PRO_CLEAN_DAY_SETTING: PositiveInt = Field( + description="Interval in days for dataset cleanup operations - plan: pro and team", + default=7, + ) + DATASET_OPERATOR_ENABLED: bool = Field( description="Enable or disable dataset operator functionality", default=False, diff --git a/api/schedule/clean_unused_datasets_task.py b/api/schedule/clean_unused_datasets_task.py index 826842e52bf82a..100fd8dfab67ea 100644 --- a/api/schedule/clean_unused_datasets_task.py +++ b/api/schedule/clean_unused_datasets_task.py @@ -17,10 +17,11 @@ @app.celery.task(queue="dataset") def clean_unused_datasets_task(): click.echo(click.style("Start clean unused datasets indexes.", fg="green")) - clean_days = dify_config.CLEAN_DAY_SETTING + plan_sandbox_clean_day_setting = dify_config.PLAN_SANDBOX_CLEAN_DAY_SETTING + plan_pro_clean_day_setting = dify_config.PLAN_PRO_CLEAN_DAY_SETTING start_at = time.perf_counter() - thirty_days_ago = datetime.datetime.now() - datetime.timedelta(days=clean_days) - seven_days_ago = datetime.datetime.now() - datetime.timedelta(days=7) + plan_sandbox_clean_day = datetime.datetime.now() - datetime.timedelta(days=plan_sandbox_clean_day_setting) + plan_pro_clean_day = datetime.datetime.now() - datetime.timedelta(days=plan_pro_clean_day_setting) page = 1 while True: try: @@ -31,7 +32,7 @@ def clean_unused_datasets_task(): Document.indexing_status == "completed", Document.enabled == True, Document.archived == False, - Document.updated_at > thirty_days_ago, + Document.updated_at > plan_sandbox_clean_day, ) .group_by(Document.dataset_id) .subquery() @@ -44,7 +45,7 @@ def clean_unused_datasets_task(): Document.indexing_status == "completed", Document.enabled == True, Document.archived == False, - Document.updated_at < thirty_days_ago, + Document.updated_at < plan_sandbox_clean_day, ) .group_by(Document.dataset_id) .subquery() @@ -56,7 +57,7 @@ def clean_unused_datasets_task(): .outerjoin(document_subquery_new, Dataset.id == document_subquery_new.c.dataset_id) .outerjoin(document_subquery_old, Dataset.id == document_subquery_old.c.dataset_id) .filter( - Dataset.created_at < thirty_days_ago, + Dataset.created_at < plan_sandbox_clean_day, func.coalesce(document_subquery_new.c.document_count, 0) == 0, func.coalesce(document_subquery_old.c.document_count, 0) > 0, ) @@ -72,7 +73,7 @@ def clean_unused_datasets_task(): for dataset in datasets: dataset_query = ( db.session.query(DatasetQuery) - .filter(DatasetQuery.created_at > thirty_days_ago, DatasetQuery.dataset_id == dataset.id) + .filter(DatasetQuery.created_at > plan_sandbox_clean_day, DatasetQuery.dataset_id == dataset.id) .all() ) if not dataset_query or len(dataset_query) == 0: @@ -101,7 +102,7 @@ def clean_unused_datasets_task(): Document.indexing_status == "completed", Document.enabled == True, Document.archived == False, - Document.updated_at > seven_days_ago, + Document.updated_at > plan_pro_clean_day, ) .group_by(Document.dataset_id) .subquery() @@ -114,7 +115,7 @@ def clean_unused_datasets_task(): Document.indexing_status == "completed", Document.enabled == True, Document.archived == False, - Document.updated_at < seven_days_ago, + Document.updated_at < plan_pro_clean_day, ) .group_by(Document.dataset_id) .subquery() @@ -126,7 +127,7 @@ def clean_unused_datasets_task(): .outerjoin(document_subquery_new, Dataset.id == document_subquery_new.c.dataset_id) .outerjoin(document_subquery_old, Dataset.id == document_subquery_old.c.dataset_id) .filter( - Dataset.created_at < seven_days_ago, + Dataset.created_at < plan_pro_clean_day, func.coalesce(document_subquery_new.c.document_count, 0) == 0, func.coalesce(document_subquery_old.c.document_count, 0) > 0, ) @@ -142,7 +143,7 @@ def clean_unused_datasets_task(): for dataset in datasets: dataset_query = ( db.session.query(DatasetQuery) - .filter(DatasetQuery.created_at > seven_days_ago, DatasetQuery.dataset_id == dataset.id) + .filter(DatasetQuery.created_at > plan_pro_clean_day, DatasetQuery.dataset_id == dataset.id) .all() ) if not dataset_query or len(dataset_query) == 0: diff --git a/api/schedule/clean_unused_messages_task.py b/api/schedule/clean_unused_messages_task.py deleted file mode 100644 index 85e6a58a0e90c7..00000000000000 --- a/api/schedule/clean_unused_messages_task.py +++ /dev/null @@ -1,92 +0,0 @@ -import datetime -import time - -import click -from sqlalchemy import func -from werkzeug.exceptions import NotFound - -import app -from configs import dify_config -from core.rag.index_processor.index_processor_factory import IndexProcessorFactory -from extensions.ext_database import db -from models.dataset import Dataset, DatasetQuery, Document - - -@app.celery.task(queue="dataset") -def clean_unused_message_task(): - click.echo(click.style("Start clean unused messages .", fg="green")) - clean_days = int(dify_config.CLEAN_DAY_SETTING) - start_at = time.perf_counter() - thirty_days_ago = datetime.datetime.now() - datetime.timedelta(days=clean_days) - page = 1 - while True: - try: - # Subquery for counting new documents - document_subquery_new = ( - db.session.query(Document.dataset_id, func.count(Document.id).label("document_count")) - .filter( - Document.indexing_status == "completed", - Document.enabled == True, - Document.archived == False, - Document.updated_at > thirty_days_ago, - ) - .group_by(Document.dataset_id) - .subquery() - ) - - # Subquery for counting old documents - document_subquery_old = ( - db.session.query(Document.dataset_id, func.count(Document.id).label("document_count")) - .filter( - Document.indexing_status == "completed", - Document.enabled == True, - Document.archived == False, - Document.updated_at < thirty_days_ago, - ) - .group_by(Document.dataset_id) - .subquery() - ) - - # Main query with join and filter - datasets = ( - db.session.query(Dataset) - .outerjoin(document_subquery_new, Dataset.id == document_subquery_new.c.dataset_id) - .outerjoin(document_subquery_old, Dataset.id == document_subquery_old.c.dataset_id) - .filter( - Dataset.created_at < thirty_days_ago, - func.coalesce(document_subquery_new.c.document_count, 0) == 0, - func.coalesce(document_subquery_old.c.document_count, 0) > 0, - ) - .order_by(Dataset.created_at.desc()) - .paginate(page=page, per_page=50) - ) - - except NotFound: - break - if datasets.items is None or len(datasets.items) == 0: - break - page += 1 - for dataset in datasets: - dataset_query = ( - db.session.query(DatasetQuery) - .filter(DatasetQuery.created_at > thirty_days_ago, DatasetQuery.dataset_id == dataset.id) - .all() - ) - if not dataset_query or len(dataset_query) == 0: - try: - # remove index - index_processor = IndexProcessorFactory(dataset.doc_form).init_index_processor() - index_processor.clean(dataset, None) - - # update document - update_params = {Document.enabled: False} - - Document.query.filter_by(dataset_id=dataset.id).update(update_params) - db.session.commit() - click.echo(click.style("Cleaned unused dataset {} from db success!".format(dataset.id), fg="green")) - except Exception as e: - click.echo( - click.style("clean dataset index error: {} {}".format(e.__class__.__name__, str(e)), fg="red") - ) - end_at = time.perf_counter() - click.echo(click.style("Cleaned unused dataset from db success latency: {}".format(end_at - start_at), fg="green")) From fdcf87c70c227b0521bdac09c7865b392bacf5ab Mon Sep 17 00:00:00 2001 From: ybalbert001 <120714773+ybalbert001@users.noreply.github.com> Date: Thu, 17 Oct 2024 10:47:56 +0800 Subject: [PATCH 29/30] fix https://github.com/langgenius/dify/issues/9409 (#9433) Co-authored-by: Yuanbo Li --- .../bedrock/llm/eu.anthropic.claude-3-haiku-v1.yaml | 2 ++ .../bedrock/llm/eu.anthropic.claude-3-sonnet-v1.5.yaml | 2 ++ .../bedrock/llm/eu.anthropic.claude-3-sonnet-v1.yaml | 2 ++ .../bedrock/llm/us.anthropic.claude-3-haiku-v1.yaml | 2 ++ .../bedrock/llm/us.anthropic.claude-3-opus-v1.yaml | 2 ++ .../bedrock/llm/us.anthropic.claude-3-sonnet-v1.5.yaml | 2 ++ .../bedrock/llm/us.anthropic.claude-3-sonnet-v1.yaml | 2 ++ 7 files changed, 14 insertions(+) diff --git a/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-haiku-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-haiku-v1.yaml index 24a65ef1bb84ab..22bd927d1d3f9b 100644 --- a/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-haiku-v1.yaml +++ b/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-haiku-v1.yaml @@ -52,6 +52,8 @@ parameter_rules: help: zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. + - name: response_format + use_template: response_format pricing: input: '0.00025' output: '0.00125' diff --git a/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.5.yaml b/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.5.yaml index e3d25c7d8f6a68..0dc596432bf162 100644 --- a/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.5.yaml +++ b/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.5.yaml @@ -51,6 +51,8 @@ parameter_rules: help: zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. + - name: response_format + use_template: response_format pricing: input: '0.003' output: '0.015' diff --git a/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.yaml index 9a06a4ad6d5162..c003fa3908c92c 100644 --- a/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.yaml +++ b/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.yaml @@ -51,6 +51,8 @@ parameter_rules: help: zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. + - name: response_format + use_template: response_format pricing: input: '0.003' output: '0.015' diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-haiku-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-haiku-v1.yaml index 9247f46974dd40..14f2450e0a09c5 100644 --- a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-haiku-v1.yaml +++ b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-haiku-v1.yaml @@ -52,6 +52,8 @@ parameter_rules: help: zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. + - name: response_format + use_template: response_format pricing: input: '0.00025' output: '0.00125' diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-opus-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-opus-v1.yaml index f9854d51f03a81..eef7b766d9d844 100644 --- a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-opus-v1.yaml +++ b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-opus-v1.yaml @@ -52,6 +52,8 @@ parameter_rules: help: zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. + - name: response_format + use_template: response_format pricing: input: '0.015' output: '0.075' diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.5.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.5.yaml index fbcab2d5f3bdaf..a02fc350d1f107 100644 --- a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.5.yaml +++ b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.5.yaml @@ -51,6 +51,8 @@ parameter_rules: help: zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. + - name: response_format + use_template: response_format pricing: input: '0.003' output: '0.015' diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.yaml index 9f5a1501f0da75..7db35277618a35 100644 --- a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.yaml +++ b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.yaml @@ -51,6 +51,8 @@ parameter_rules: help: zh_Hans: 对于每个后续标记,仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. + - name: response_format + use_template: response_format pricing: input: '0.003' output: '0.015' From be4b62d5d8084eaa354a67dc0c759dfe1ab1cb2c Mon Sep 17 00:00:00 2001 From: Joe <1264204425@qq.com> Date: Thu, 17 Oct 2024 16:39:04 +0800 Subject: [PATCH 30/30] feat: add init login type --- api/controllers/console/auth/login.py | 9 +++++++-- api/controllers/console/error.py | 8 +++++++- api/services/account_service.py | 11 +++++++++++ api/services/feature_service.py | 2 ++ 4 files changed, 27 insertions(+), 3 deletions(-) diff --git a/api/controllers/console/auth/login.py b/api/controllers/console/auth/login.py index c04301a3618610..5873825e6d9638 100644 --- a/api/controllers/console/auth/login.py +++ b/api/controllers/console/auth/login.py @@ -15,7 +15,12 @@ InvalidEmailError, InvalidTokenError, ) -from controllers.console.error import EmailSendIpLimitError, NotAllowedCreateWorkspace, NotAllowedRegister +from controllers.console.error import ( + AccountBannedOrClosedError, + EmailSendIpLimitError, + NotAllowedCreateWorkspace, + NotAllowedRegister, +) from controllers.console.setup import setup_required from events.tenant_event import tenant_was_created from libs.helper import email, extract_remote_ip @@ -62,7 +67,7 @@ def post(self): else: account = AccountService.authenticate(args["email"], args["password"]) except services.errors.account.AccountLoginError: - raise NotAllowedRegister() + raise AccountBannedOrClosedError() except services.errors.account.AccountPasswordError: AccountService.add_login_error_rate_limit(args["email"]) raise EmailOrPasswordMismatchError() diff --git a/api/controllers/console/error.py b/api/controllers/console/error.py index f454eec2ece22a..944e3b73b19cd3 100644 --- a/api/controllers/console/error.py +++ b/api/controllers/console/error.py @@ -46,9 +46,15 @@ class NotAllowedCreateWorkspace(BaseHTTPException): code = 400 +class AccountBannedOrClosedError(BaseHTTPException): + error_code = "account_banned_or_closed" + description = "Account is banned or closed." + code = 400 + + class NotAllowedRegister(BaseHTTPException): error_code = "unauthorized" - description = "Account not found." + description = "account_not_found" code = 400 diff --git a/api/services/account_service.py b/api/services/account_service.py index 527aa64895667c..60351313f0e879 100644 --- a/api/services/account_service.py +++ b/api/services/account_service.py @@ -32,6 +32,7 @@ TenantStatus, ) from models.model import DifySetup +from services.enterprise.enterprise_service import EnterpriseService from services.errors.account import ( AccountAlreadyInTenantError, AccountLoginError, @@ -953,3 +954,13 @@ def _get_invitation_by_token( def _generate_refresh_token(length: int = 64): token = secrets.token_hex(length) return token + + +class InitLoginType: + @staticmethod + def init_login_type(): + enterprise_info = EnterpriseService.get_info() + dify_config.ENABLE_EMAIL_CODE_LOGIN = enterprise_info["enable_email_code_login"] + dify_config.ENABLE_EMAIL_PASSWORD_LOGIN = enterprise_info["enable_email_password_login"] + dify_config.ALLOW_REGISTER = enterprise_info["is_allow_register"] + dify_config.ALLOW_CREATE_WORKSPACE = enterprise_info["is_allow_create_workspace"] diff --git a/api/services/feature_service.py b/api/services/feature_service.py index d5d9a9fb2ccbce..36770e18059d53 100644 --- a/api/services/feature_service.py +++ b/api/services/feature_service.py @@ -1,6 +1,7 @@ from pydantic import BaseModel, ConfigDict from configs import dify_config +from services.account_service import InitLoginType from services.billing_service import BillingService from services.enterprise.enterprise_service import EnterpriseService @@ -126,6 +127,7 @@ def _fulfill_params_from_billing_api(cls, features: FeatureModel, tenant_id: str @classmethod def _fulfill_params_from_enterprise(cls, features): + InitLoginType.init_login_type() enterprise_info = EnterpriseService.get_info() features.sso_enforced_for_signin = enterprise_info["sso_enforced_for_signin"]