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...

33 Commits

Author SHA1 Message Date
a6af8e5d8f Fix/new conversation in mobile phone (#593) 2023-07-18 16:57:28 +08:00
3e1d5ac51b Feat/header ssr (#594) 2023-07-18 16:57:14 +08:00
b0091452ca feat: add bash before entrypoint.sh in Dockerfile (#592) 2023-07-18 16:22:34 +08:00
eff115267f fix: anthropic completion error in blocking mode (#591) 2023-07-18 15:12:52 +08:00
07cde4f8fe feat: bump 0.3.10 (#589) 2023-07-18 15:04:49 +08:00
9f28a48a92 index add to db when dataset updated (#588) 2023-07-18 15:02:33 +08:00
0d3cd3b16a fix: azure provider select error when use custom azure provider (#587) 2023-07-18 14:34:09 +08:00
3dc82fb044 feat: remove davinci required model from azure provider (#586) 2023-07-18 14:14:56 +08:00
cb6e73347e Feat/add ruby sdk (#583) 2023-07-18 10:18:58 +08:00
ecd6cbaee6 Fix/use embedded chatbot with no track mode (#582) 2023-07-18 09:45:17 +08:00
d54e942264 Feat: hide password setting and invitation link in cloud version (#581) 2023-07-18 08:54:14 +08:00
28ba721455 Update README_CN.md (#575) 2023-07-17 11:08:26 +08:00
784dd7848e Update README.md (#576) 2023-07-17 11:08:03 +08:00
e2a5f8ba1a feat: bump version to 0.3.9 (#574) 2023-07-17 09:47:23 +08:00
8e11200306 feat: frontend support claude (#573)
Co-authored-by: StyleZhang <jasonapring2015@outlook.com>
2023-07-17 00:14:32 +08:00
7599f79a17 feat: claude api support (#572) 2023-07-17 00:14:19 +08:00
510389909c fix: change chatbot avart to dify icon (#571) 2023-07-16 16:30:55 +08:00
2c6e00174b add document limit check (#570) 2023-07-16 13:21:56 +08:00
24f3456990 fix: account check in runtime (#569) 2023-07-15 23:58:15 +08:00
20514ff288 fix: table too wide fix text generation ui (#566) 2023-07-14 18:15:56 +08:00
381d255290 fix setting-modal provider encrypted tip style (#565) 2023-07-14 17:10:02 +08:00
7f320f9146 feat: bump version to 0.3.8 (#559) 2023-07-14 11:53:15 +08:00
cd51d3323b feat: member invitation and activation (#535)
Co-authored-by: John Wang <takatost@gmail.com>
2023-07-14 11:19:26 +08:00
004b3caa43 Feature/add delete to service (#555) 2023-07-14 10:37:33 +08:00
dbe10799e3 fix: user cancel conversation show error (#558) 2023-07-13 10:32:45 +08:00
054ba88434 fix: regeneration not clear like status and sub more items (#557) 2023-07-13 10:31:07 +08:00
da82a11b26 feat: batch run support export as csv file (#556) 2023-07-13 09:30:16 +08:00
fec607db81 Feat/embedding (#553)
Co-authored-by: Gillian97 <jinling.sunshine@gmail.com>
Co-authored-by: Joel <iamjoel007@gmail.com>
2023-07-12 17:27:50 +08:00
397a92f2ee convert audio wav to mp3 (#552) 2023-07-12 17:18:56 +08:00
b91e226063 fix: api doc update conversation list api to real response (#548) 2023-07-12 13:53:06 +08:00
da5782df92 fix: mobile not auto show generation res (#544) 2023-07-11 17:16:28 +08:00
9af0da4450 fix jwt in web (#545) 2023-07-11 17:07:52 +08:00
d49ac1e4ac Feature/use jwt in web (#533)
Co-authored-by: crazywoola <li.zheng@dentsplysirona.com>
Co-authored-by: StyleZhang <jasonapring2015@outlook.com>
2023-07-11 15:21:20 +08:00
239 changed files with 6516 additions and 1202 deletions

1
.gitignore vendored
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@ -109,6 +109,7 @@ venv/
ENV/
env.bak/
venv.bak/
.conda/
# Spyder project settings
.spyderproject

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@ -17,9 +17,15 @@ A single API encompassing plugin capabilities, context enhancement, and more, sa
Visual data analysis, log review, and annotation for applications
Dify is compatible with Langchain, meaning we'll gradually support multiple LLMs, currently supported:
- GPT 3 (text-davinci-003)
- GPT 3.5 Turbo(ChatGPT)
- GPT-4
* **OpenAI** GPT4、GPT3.5-turbo、GPT3.5-turbo-16k、text-davinci-003
* **Azure OpenAI**
* **Antropic**Claude2、Claude-instant
> We've got 1000 free trial credits available for all cloud service users to try out the Claude model.Visit [Dify.ai](https://dify.ai) and
try it now.
* **hugging face Hub**Coming soon.
## Use Cloud Services

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@ -17,11 +17,16 @@
- 一套 API 即可包含插件、上下文增强等能力,替你省下了后端代码的编写工作
- 可视化的对应用进行数据分析,查阅日志或进行标注
Dify 兼容 Langchain这意味着我们将逐步支持多种 LLMs ,目前支持:
Dify 兼容 Langchain这意味着我们将逐步支持多种 LLMs ,目前支持的模型供应商
- GPT 3 (text-davinci-003)
- GPT 3.5 Turbo(ChatGPT)
- GPT-4
* **OpenAI**GPT4、GPT3.5-turbo、GPT3.5-turbo-16k、text-davinci-003
* **Azure OpenAI Service**
* **Anthropic**Claude2、Claude-instant
> 我们为所有注册云端版的用户免费提供了 1000 次 Claude 模型的消息调用额度,登录 [dify.ai](https://cloud.dify.ai) 即可使用。
* **Hugging Face Hub**(即将推出)
## 使用云服务

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@ -8,13 +8,19 @@ EDITION=SELF_HOSTED
SECRET_KEY=
# Console API base URL
CONSOLE_URL=http://127.0.0.1:5001
CONSOLE_API_URL=http://127.0.0.1:5001
# Console frontend web base URL
CONSOLE_WEB_URL=http://127.0.0.1:3000
# Service API base URL
API_URL=http://127.0.0.1:5001
SERVICE_API_URL=http://127.0.0.1:5001
# Web APP base URL
APP_URL=http://127.0.0.1:3000
# Web APP API base URL
APP_API_URL=http://127.0.0.1:5001
# Web APP frontend web base URL
APP_WEB_URL=http://127.0.0.1:3000
# celery configuration
CELERY_BROKER_URL=redis://:difyai123456@localhost:6379/1
@ -79,6 +85,11 @@ WEAVIATE_BATCH_SIZE=100
QDRANT_URL=path:storage/qdrant
QDRANT_API_KEY=your-qdrant-api-key
# Mail configuration, support: resend
MAIL_TYPE=
MAIL_DEFAULT_SEND_FROM=no-reply <no-reply@dify.ai>
RESEND_API_KEY=
# Sentry configuration
SENTRY_DSN=

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@ -5,9 +5,11 @@ LABEL maintainer="takatost@gmail.com"
ENV FLASK_APP app.py
ENV EDITION SELF_HOSTED
ENV DEPLOY_ENV PRODUCTION
ENV CONSOLE_URL http://127.0.0.1:5001
ENV API_URL http://127.0.0.1:5001
ENV APP_URL http://127.0.0.1:5001
ENV CONSOLE_API_URL http://127.0.0.1:5001
ENV CONSOLE_WEB_URL http://127.0.0.1:3000
ENV SERVICE_API_URL http://127.0.0.1:5001
ENV APP_API_URL http://127.0.0.1:5001
ENV APP_WEB_URL http://127.0.0.1:3000
EXPOSE 5001
@ -25,4 +27,4 @@ RUN chmod +x /entrypoint.sh
ARG COMMIT_SHA
ENV COMMIT_SHA ${COMMIT_SHA}
ENTRYPOINT ["/entrypoint.sh"]
ENTRYPOINT ["/bin/bash", "/entrypoint.sh"]

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@ -2,6 +2,8 @@
import os
from datetime import datetime
from werkzeug.exceptions import Forbidden
if not os.environ.get("DEBUG") or os.environ.get("DEBUG").lower() != 'true':
from gevent import monkey
monkey.patch_all()
@ -15,7 +17,7 @@ import flask_login
from flask_cors import CORS
from extensions import ext_session, ext_celery, ext_sentry, ext_redis, ext_login, ext_migrate, \
ext_database, ext_storage
ext_database, ext_storage, ext_mail
from extensions.ext_database import db
from extensions.ext_login import login_manager
@ -27,7 +29,7 @@ from events import event_handlers
import core
from config import Config, CloudEditionConfig
from commands import register_commands
from models.account import TenantAccountJoin
from models.account import TenantAccountJoin, AccountStatus
from models.model import Account, EndUser, App
import warnings
@ -83,6 +85,7 @@ def initialize_extensions(app):
ext_celery.init_app(app)
ext_session.init_app(app)
ext_login.init_app(app)
ext_mail.init_app(app)
ext_sentry.init_app(app)
@ -100,6 +103,9 @@ def load_user(user_id):
account = db.session.query(Account).filter(Account.id == account_id).first()
if account:
if account.status == AccountStatus.BANNED.value or account.status == AccountStatus.CLOSED.value:
raise Forbidden('Account is banned or closed.')
workspace_id = session.get('workspace_id')
if workspace_id:
tenant_account_join = db.session.query(TenantAccountJoin).filter(
@ -149,13 +155,17 @@ def register_blueprints(app):
from controllers.web import bp as web_bp
from controllers.console import bp as console_app_bp
CORS(service_api_bp,
allow_headers=['Content-Type', 'Authorization', 'X-App-Code'],
methods=['GET', 'PUT', 'POST', 'DELETE', 'OPTIONS', 'PATCH']
)
app.register_blueprint(service_api_bp)
CORS(web_bp,
resources={
r"/*": {"origins": app.config['WEB_API_CORS_ALLOW_ORIGINS']}},
supports_credentials=True,
allow_headers=['Content-Type', 'Authorization'],
allow_headers=['Content-Type', 'Authorization', 'X-App-Code'],
methods=['GET', 'PUT', 'POST', 'DELETE', 'OPTIONS', 'PATCH'],
expose_headers=['X-Version', 'X-Env']
)

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@ -18,7 +18,8 @@ from models.model import Account
import secrets
import base64
from models.provider import Provider
from models.provider import Provider, ProviderName
from services.provider_service import ProviderService
@click.command('reset-password', help='Reset the account password.')
@ -193,9 +194,40 @@ def recreate_all_dataset_indexes():
click.echo(click.style('Congratulations! Recreate {} dataset indexes.'.format(recreate_count), fg='green'))
@click.command('sync-anthropic-hosted-providers', help='Sync anthropic hosted providers.')
def sync_anthropic_hosted_providers():
click.echo(click.style('Start sync anthropic hosted providers.', fg='green'))
count = 0
page = 1
while True:
try:
tenants = db.session.query(Tenant).order_by(Tenant.created_at.desc()).paginate(page=page, per_page=50)
except NotFound:
break
page += 1
for tenant in tenants:
try:
click.echo('Syncing tenant anthropic hosted provider: {}'.format(tenant.id))
ProviderService.create_system_provider(
tenant,
ProviderName.ANTHROPIC.value,
current_app.config['ANTHROPIC_HOSTED_QUOTA_LIMIT'],
True
)
count += 1
except Exception as e:
click.echo(click.style('Sync tenant anthropic hosted provider error: {} {}'.format(e.__class__.__name__, str(e)), fg='red'))
continue
click.echo(click.style('Congratulations! Synced {} anthropic hosted providers.'.format(count), fg='green'))
def register_commands(app):
app.cli.add_command(reset_password)
app.cli.add_command(reset_email)
app.cli.add_command(generate_invitation_codes)
app.cli.add_command(reset_encrypt_key_pair)
app.cli.add_command(recreate_all_dataset_indexes)
app.cli.add_command(sync_anthropic_hosted_providers)

View File

@ -28,9 +28,11 @@ DEFAULTS = {
'SESSION_REDIS_USE_SSL': 'False',
'OAUTH_REDIRECT_PATH': '/console/api/oauth/authorize',
'OAUTH_REDIRECT_INDEX_PATH': '/',
'CONSOLE_URL': 'https://cloud.dify.ai',
'API_URL': 'https://api.dify.ai',
'APP_URL': 'https://udify.app',
'CONSOLE_WEB_URL': 'https://cloud.dify.ai',
'CONSOLE_API_URL': 'https://cloud.dify.ai',
'SERVICE_API_URL': 'https://api.dify.ai',
'APP_WEB_URL': 'https://udify.app',
'APP_API_URL': 'https://udify.app',
'STORAGE_TYPE': 'local',
'STORAGE_LOCAL_PATH': 'storage',
'CHECK_UPDATE_URL': 'https://updates.dify.ai',
@ -48,7 +50,10 @@ DEFAULTS = {
'PDF_PREVIEW': 'True',
'LOG_LEVEL': 'INFO',
'DISABLE_PROVIDER_CONFIG_VALIDATION': 'False',
'DEFAULT_LLM_PROVIDER': 'openai'
'DEFAULT_LLM_PROVIDER': 'openai',
'OPENAI_HOSTED_QUOTA_LIMIT': 200,
'ANTHROPIC_HOSTED_QUOTA_LIMIT': 1000,
'TENANT_DOCUMENT_COUNT': 100
}
@ -76,10 +81,15 @@ class Config:
def __init__(self):
# app settings
self.CONSOLE_API_URL = get_env('CONSOLE_URL') if get_env('CONSOLE_URL') else get_env('CONSOLE_API_URL')
self.CONSOLE_WEB_URL = get_env('CONSOLE_URL') if get_env('CONSOLE_URL') else get_env('CONSOLE_WEB_URL')
self.SERVICE_API_URL = get_env('API_URL') if get_env('API_URL') else get_env('SERVICE_API_URL')
self.APP_WEB_URL = get_env('APP_URL') if get_env('APP_URL') else get_env('APP_WEB_URL')
self.APP_API_URL = get_env('APP_URL') if get_env('APP_URL') else get_env('APP_API_URL')
self.CONSOLE_URL = get_env('CONSOLE_URL')
self.API_URL = get_env('API_URL')
self.APP_URL = get_env('APP_URL')
self.CURRENT_VERSION = "0.3.7"
self.CURRENT_VERSION = "0.3.10"
self.COMMIT_SHA = get_env('COMMIT_SHA')
self.EDITION = "SELF_HOSTED"
self.DEPLOY_ENV = get_env('DEPLOY_ENV')
@ -147,10 +157,15 @@ class Config:
# cors settings
self.CONSOLE_CORS_ALLOW_ORIGINS = get_cors_allow_origins(
'CONSOLE_CORS_ALLOW_ORIGINS', self.CONSOLE_URL)
'CONSOLE_CORS_ALLOW_ORIGINS', self.CONSOLE_WEB_URL)
self.WEB_API_CORS_ALLOW_ORIGINS = get_cors_allow_origins(
'WEB_API_CORS_ALLOW_ORIGINS', '*')
# mail settings
self.MAIL_TYPE = get_env('MAIL_TYPE')
self.MAIL_DEFAULT_SEND_FROM = get_env('MAIL_DEFAULT_SEND_FROM')
self.RESEND_API_KEY = get_env('RESEND_API_KEY')
# sentry settings
self.SENTRY_DSN = get_env('SENTRY_DSN')
self.SENTRY_TRACES_SAMPLE_RATE = float(get_env('SENTRY_TRACES_SAMPLE_RATE'))
@ -179,6 +194,10 @@ class Config:
# hosted provider credentials
self.OPENAI_API_KEY = get_env('OPENAI_API_KEY')
self.ANTHROPIC_API_KEY = get_env('ANTHROPIC_API_KEY')
self.OPENAI_HOSTED_QUOTA_LIMIT = get_env('OPENAI_HOSTED_QUOTA_LIMIT')
self.ANTHROPIC_HOSTED_QUOTA_LIMIT = get_env('ANTHROPIC_HOSTED_QUOTA_LIMIT')
# By default it is False
# You could disable it for compatibility with certain OpenAPI providers
@ -195,6 +214,8 @@ class Config:
self.NOTION_INTERNAL_SECRET = get_env('NOTION_INTERNAL_SECRET')
self.NOTION_INTEGRATION_TOKEN = get_env('NOTION_INTEGRATION_TOKEN')
self.TENANT_DOCUMENT_COUNT = get_env('TENANT_DOCUMENT_COUNT')
class CloudEditionConfig(Config):

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@ -12,7 +12,7 @@ from . import setup, version, apikey, admin
from .app import app, site, completion, model_config, statistic, conversation, message, generator, audio
# Import auth controllers
from .auth import login, oauth, data_source_oauth
from .auth import login, oauth, data_source_oauth, activate
# Import datasets controllers
from .datasets import datasets, datasets_document, datasets_segments, file, hit_testing, data_source

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@ -50,8 +50,8 @@ class ChatMessageAudioApi(Resource):
raise UnsupportedAudioTypeError()
except ProviderNotSupportSpeechToTextServiceError:
raise ProviderNotSupportSpeechToTextError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:

View File

@ -63,8 +63,8 @@ class CompletionMessageApi(Resource):
except services.errors.app_model_config.AppModelConfigBrokenError:
logging.exception("App model config broken.")
raise AppUnavailableError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
@ -133,8 +133,8 @@ class ChatMessageApi(Resource):
except services.errors.app_model_config.AppModelConfigBrokenError:
logging.exception("App model config broken.")
raise AppUnavailableError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
@ -164,8 +164,8 @@ def compact_response(response: Union[dict | Generator]) -> Response:
except services.errors.app_model_config.AppModelConfigBrokenError:
logging.exception("App model config broken.")
yield "data: " + json.dumps(api.handle_error(AppUnavailableError()).get_json()) + "\n\n"
except ProviderTokenNotInitError:
yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError()).get_json()) + "\n\n"
except ProviderTokenNotInitError as ex:
yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError(ex.description)).get_json()) + "\n\n"
except QuotaExceededError:
yield "data: " + json.dumps(api.handle_error(ProviderQuotaExceededError()).get_json()) + "\n\n"
except ModelCurrentlyNotSupportError:

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@ -16,7 +16,7 @@ class ProviderNotInitializeError(BaseHTTPException):
class ProviderQuotaExceededError(BaseHTTPException):
error_code = 'provider_quota_exceeded'
description = "Your quota for Dify Hosted OpenAI has been exhausted. " \
description = "Your quota for Dify Hosted Model Provider has been exhausted. " \
"Please go to Settings -> Model Provider to complete your own provider credentials."
code = 400

View File

@ -27,8 +27,8 @@ class IntroductionGenerateApi(Resource):
account.current_tenant_id,
args['prompt_template']
)
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
@ -58,8 +58,8 @@ class RuleGenerateApi(Resource):
args['audiences'],
args['hoping_to_solve']
)
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:

View File

@ -269,8 +269,8 @@ class MessageMoreLikeThisApi(Resource):
raise NotFound("Message Not Exists.")
except MoreLikeThisDisabledError:
raise AppMoreLikeThisDisabledError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
@ -297,8 +297,8 @@ def compact_response(response: Union[dict | Generator]) -> Response:
yield "data: " + json.dumps(api.handle_error(NotFound("Message Not Exists.")).get_json()) + "\n\n"
except MoreLikeThisDisabledError:
yield "data: " + json.dumps(api.handle_error(AppMoreLikeThisDisabledError()).get_json()) + "\n\n"
except ProviderTokenNotInitError:
yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError()).get_json()) + "\n\n"
except ProviderTokenNotInitError as ex:
yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError(ex.description)).get_json()) + "\n\n"
except QuotaExceededError:
yield "data: " + json.dumps(api.handle_error(ProviderQuotaExceededError()).get_json()) + "\n\n"
except ModelCurrentlyNotSupportError:
@ -339,8 +339,8 @@ class MessageSuggestedQuestionApi(Resource):
raise NotFound("Message not found")
except ConversationNotExistsError:
raise NotFound("Conversation not found")
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:

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@ -0,0 +1,75 @@
import base64
import secrets
from datetime import datetime
from flask_restful import Resource, reqparse
from controllers.console import api
from controllers.console.error import AlreadyActivateError
from extensions.ext_database import db
from libs.helper import email, str_len, supported_language, timezone
from libs.password import valid_password, hash_password
from models.account import AccountStatus, Tenant
from services.account_service import RegisterService
class ActivateCheckApi(Resource):
def get(self):
parser = reqparse.RequestParser()
parser.add_argument('workspace_id', type=str, required=True, nullable=False, location='args')
parser.add_argument('email', type=email, required=True, nullable=False, location='args')
parser.add_argument('token', type=str, required=True, nullable=False, location='args')
args = parser.parse_args()
account = RegisterService.get_account_if_token_valid(args['workspace_id'], args['email'], args['token'])
tenant = db.session.query(Tenant).filter(
Tenant.id == args['workspace_id'],
Tenant.status == 'normal'
).first()
return {'is_valid': account is not None, 'workspace_name': tenant.name}
class ActivateApi(Resource):
def post(self):
parser = reqparse.RequestParser()
parser.add_argument('workspace_id', type=str, required=True, nullable=False, location='json')
parser.add_argument('email', type=email, required=True, nullable=False, location='json')
parser.add_argument('token', type=str, required=True, nullable=False, location='json')
parser.add_argument('name', type=str_len(30), required=True, nullable=False, location='json')
parser.add_argument('password', type=valid_password, required=True, nullable=False, location='json')
parser.add_argument('interface_language', type=supported_language, required=True, nullable=False,
location='json')
parser.add_argument('timezone', type=timezone, required=True, nullable=False, location='json')
args = parser.parse_args()
account = RegisterService.get_account_if_token_valid(args['workspace_id'], args['email'], args['token'])
if account is None:
raise AlreadyActivateError()
RegisterService.revoke_token(args['workspace_id'], args['email'], args['token'])
account.name = args['name']
# generate password salt
salt = secrets.token_bytes(16)
base64_salt = base64.b64encode(salt).decode()
# encrypt password with salt
password_hashed = hash_password(args['password'], salt)
base64_password_hashed = base64.b64encode(password_hashed).decode()
account.password = base64_password_hashed
account.password_salt = base64_salt
account.interface_language = args['interface_language']
account.timezone = args['timezone']
account.interface_theme = 'light'
account.status = AccountStatus.ACTIVE.value
account.initialized_at = datetime.utcnow()
db.session.commit()
return {'result': 'success'}
api.add_resource(ActivateCheckApi, '/activate/check')
api.add_resource(ActivateApi, '/activate')

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@ -20,7 +20,7 @@ def get_oauth_providers():
client_secret=current_app.config.get(
'NOTION_CLIENT_SECRET'),
redirect_uri=current_app.config.get(
'CONSOLE_URL') + '/console/api/oauth/data-source/callback/notion')
'CONSOLE_API_URL') + '/console/api/oauth/data-source/callback/notion')
OAUTH_PROVIDERS = {
'notion': notion_oauth
@ -42,7 +42,7 @@ class OAuthDataSource(Resource):
if current_app.config.get('NOTION_INTEGRATION_TYPE') == 'internal':
internal_secret = current_app.config.get('NOTION_INTERNAL_SECRET')
oauth_provider.save_internal_access_token(internal_secret)
return redirect(f'{current_app.config.get("CONSOLE_URL")}?oauth_data_source=success')
return redirect(f'{current_app.config.get("CONSOLE_WEB_URL")}?oauth_data_source=success')
else:
auth_url = oauth_provider.get_authorization_url()
return redirect(auth_url)
@ -66,12 +66,12 @@ class OAuthDataSourceCallback(Resource):
f"An error occurred during the OAuthCallback process with {provider}: {e.response.text}")
return {'error': 'OAuth data source process failed'}, 400
return redirect(f'{current_app.config.get("CONSOLE_URL")}?oauth_data_source=success')
return redirect(f'{current_app.config.get("CONSOLE_WEB_URL")}?oauth_data_source=success')
elif 'error' in request.args:
error = request.args.get('error')
return redirect(f'{current_app.config.get("CONSOLE_URL")}?oauth_data_source={error}')
return redirect(f'{current_app.config.get("CONSOLE_WEB_URL")}?oauth_data_source={error}')
else:
return redirect(f'{current_app.config.get("CONSOLE_URL")}?oauth_data_source=access_denied')
return redirect(f'{current_app.config.get("CONSOLE_WEB_URL")}?oauth_data_source=access_denied')
class OAuthDataSourceSync(Resource):

View File

@ -20,13 +20,13 @@ def get_oauth_providers():
client_secret=current_app.config.get(
'GITHUB_CLIENT_SECRET'),
redirect_uri=current_app.config.get(
'CONSOLE_URL') + '/console/api/oauth/authorize/github')
'CONSOLE_API_URL') + '/console/api/oauth/authorize/github')
google_oauth = GoogleOAuth(client_id=current_app.config.get('GOOGLE_CLIENT_ID'),
client_secret=current_app.config.get(
'GOOGLE_CLIENT_SECRET'),
redirect_uri=current_app.config.get(
'CONSOLE_URL') + '/console/api/oauth/authorize/google')
'CONSOLE_API_URL') + '/console/api/oauth/authorize/google')
OAUTH_PROVIDERS = {
'github': github_oauth,
@ -80,7 +80,7 @@ class OAuthCallback(Resource):
flask_login.login_user(account, remember=True)
AccountService.update_last_login(account, request)
return redirect(f'{current_app.config.get("CONSOLE_URL")}?oauth_login=success')
return redirect(f'{current_app.config.get("CONSOLE_WEB_URL")}?oauth_login=success')
def _get_account_by_openid_or_email(provider: str, user_info: OAuthUserInfo) -> Optional[Account]:

View File

@ -279,8 +279,8 @@ class DatasetDocumentListApi(Resource):
try:
documents, batch = DocumentService.save_document_with_dataset_id(dataset, args, current_user)
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
@ -324,8 +324,8 @@ class DatasetInitApi(Resource):
document_data=args,
account=current_user
)
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:

View File

@ -95,8 +95,8 @@ class HitTestingApi(Resource):
return {"query": response['query'], 'records': marshal(response['records'], hit_testing_record_fields)}
except services.errors.index.IndexNotInitializedError:
raise DatasetNotInitializedError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:

View File

@ -18,3 +18,9 @@ class AccountNotLinkTenantError(BaseHTTPException):
error_code = 'account_not_link_tenant'
description = "Account not link tenant."
code = 403
class AlreadyActivateError(BaseHTTPException):
error_code = 'already_activate'
description = "Auth Token is invalid or account already activated, please check again."
code = 403

View File

@ -47,8 +47,8 @@ class ChatAudioApi(InstalledAppResource):
raise UnsupportedAudioTypeError()
except ProviderNotSupportSpeechToTextServiceError:
raise ProviderNotSupportSpeechToTextError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:

View File

@ -54,8 +54,8 @@ class CompletionApi(InstalledAppResource):
except services.errors.app_model_config.AppModelConfigBrokenError:
logging.exception("App model config broken.")
raise AppUnavailableError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
@ -113,8 +113,8 @@ class ChatApi(InstalledAppResource):
except services.errors.app_model_config.AppModelConfigBrokenError:
logging.exception("App model config broken.")
raise AppUnavailableError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
@ -155,8 +155,8 @@ def compact_response(response: Union[dict | Generator]) -> Response:
except services.errors.app_model_config.AppModelConfigBrokenError:
logging.exception("App model config broken.")
yield "data: " + json.dumps(api.handle_error(AppUnavailableError()).get_json()) + "\n\n"
except ProviderTokenNotInitError:
yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError()).get_json()) + "\n\n"
except ProviderTokenNotInitError as ex:
yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError(ex.description)).get_json()) + "\n\n"
except QuotaExceededError:
yield "data: " + json.dumps(api.handle_error(ProviderQuotaExceededError()).get_json()) + "\n\n"
except ModelCurrentlyNotSupportError:

View File

@ -107,8 +107,8 @@ class MessageMoreLikeThisApi(InstalledAppResource):
raise NotFound("Message Not Exists.")
except MoreLikeThisDisabledError:
raise AppMoreLikeThisDisabledError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
@ -135,8 +135,8 @@ def compact_response(response: Union[dict | Generator]) -> Response:
yield "data: " + json.dumps(api.handle_error(NotFound("Message Not Exists.")).get_json()) + "\n\n"
except MoreLikeThisDisabledError:
yield "data: " + json.dumps(api.handle_error(AppMoreLikeThisDisabledError()).get_json()) + "\n\n"
except ProviderTokenNotInitError:
yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError()).get_json()) + "\n\n"
except ProviderTokenNotInitError as ex:
yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError(ex.description)).get_json()) + "\n\n"
except QuotaExceededError:
yield "data: " + json.dumps(api.handle_error(ProviderQuotaExceededError()).get_json()) + "\n\n"
except ModelCurrentlyNotSupportError:
@ -174,8 +174,8 @@ class MessageSuggestedQuestionApi(InstalledAppResource):
raise NotFound("Conversation not found")
except SuggestedQuestionsAfterAnswerDisabledError:
raise AppSuggestedQuestionsAfterAnswerDisabledError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:

View File

@ -6,22 +6,23 @@ from flask import current_app, request
from flask_login import login_required, current_user
from flask_restful import Resource, reqparse, fields, marshal_with
from services.errors.account import CurrentPasswordIncorrectError as ServiceCurrentPasswordIncorrectError
from controllers.console import api
from controllers.console.setup import setup_required
from controllers.console.workspace.error import AccountAlreadyInitedError, InvalidInvitationCodeError, \
RepeatPasswordNotMatchError
RepeatPasswordNotMatchError, CurrentPasswordIncorrectError
from controllers.console.wraps import account_initialization_required
from libs.helper import TimestampField, supported_language, timezone
from extensions.ext_database import db
from models.account import InvitationCode, AccountIntegrate
from services.account_service import AccountService
account_fields = {
'id': fields.String,
'name': fields.String,
'avatar': fields.String,
'email': fields.String,
'is_password_set': fields.Boolean,
'interface_language': fields.String,
'interface_theme': fields.String,
'timezone': fields.String,
@ -194,8 +195,11 @@ class AccountPasswordApi(Resource):
if args['new_password'] != args['repeat_new_password']:
raise RepeatPasswordNotMatchError()
AccountService.update_account_password(
current_user, args['password'], args['new_password'])
try:
AccountService.update_account_password(
current_user, args['password'], args['new_password'])
except ServiceCurrentPasswordIncorrectError:
raise CurrentPasswordIncorrectError()
return {"result": "success"}

View File

@ -7,6 +7,12 @@ class RepeatPasswordNotMatchError(BaseHTTPException):
code = 400
class CurrentPasswordIncorrectError(BaseHTTPException):
error_code = 'current_password_incorrect'
description = "Current password is incorrect."
code = 400
class ProviderRequestFailedError(BaseHTTPException):
error_code = 'provider_request_failed'
description = None

View File

@ -1,5 +1,5 @@
# -*- coding:utf-8 -*-
from flask import current_app
from flask_login import login_required, current_user
from flask_restful import Resource, reqparse, marshal_with, abort, fields, marshal
@ -60,7 +60,8 @@ class MemberInviteEmailApi(Resource):
inviter = current_user
try:
RegisterService.invite_new_member(inviter.current_tenant, invitee_email, role=invitee_role, inviter=inviter)
token = RegisterService.invite_new_member(inviter.current_tenant, invitee_email, role=invitee_role,
inviter=inviter)
account = db.session.query(Account, TenantAccountJoin.role).join(
TenantAccountJoin, Account.id == TenantAccountJoin.account_id
).filter(Account.email == args['email']).first()
@ -78,7 +79,16 @@ class MemberInviteEmailApi(Resource):
# todo:413
return {'result': 'success', 'account': account}, 201
return {
'result': 'success',
'account': account,
'invite_url': '{}/activate?workspace_id={}&email={}&token={}'.format(
current_app.config.get("CONSOLE_WEB_URL"),
str(current_user.current_tenant_id),
invitee_email,
token
)
}, 201
class MemberCancelInviteApi(Resource):
@ -88,7 +98,7 @@ class MemberCancelInviteApi(Resource):
@login_required
@account_initialization_required
def delete(self, member_id):
member = Account.query.get(str(member_id))
member = db.session.query(Account).filter(Account.id == str(member_id)).first()
if not member:
abort(404)

View File

@ -3,6 +3,7 @@ import base64
import json
import logging
from flask import current_app
from flask_login import login_required, current_user
from flask_restful import Resource, reqparse, abort
from werkzeug.exceptions import Forbidden
@ -34,7 +35,7 @@ class ProviderListApi(Resource):
plaintext, the rest is replaced by * and the last two bits are displayed in plaintext
"""
ProviderService.init_supported_provider(current_user.current_tenant, "cloud")
ProviderService.init_supported_provider(current_user.current_tenant)
providers = Provider.query.filter_by(tenant_id=tenant_id).all()
provider_list = [
@ -50,7 +51,8 @@ class ProviderListApi(Resource):
'quota_used': p.quota_used
} if p.provider_type == ProviderType.SYSTEM.value else {}),
'token': ProviderService.get_obfuscated_api_key(current_user.current_tenant,
ProviderName(p.provider_name))
ProviderName(p.provider_name), only_custom=True)
if p.provider_type == ProviderType.CUSTOM.value else None
}
for p in providers
]
@ -121,9 +123,10 @@ class ProviderTokenApi(Resource):
is_valid=token_is_valid)
db.session.add(provider_model)
if provider_model.is_valid:
if provider in [ProviderName.OPENAI.value, ProviderName.AZURE_OPENAI.value] and provider_model.is_valid:
other_providers = db.session.query(Provider).filter(
Provider.tenant_id == tenant.id,
Provider.provider_name.in_([ProviderName.OPENAI.value, ProviderName.AZURE_OPENAI.value]),
Provider.provider_name != provider,
Provider.provider_type == ProviderType.CUSTOM.value
).all()
@ -133,7 +136,7 @@ class ProviderTokenApi(Resource):
db.session.commit()
if provider in [ProviderName.ANTHROPIC.value, ProviderName.AZURE_OPENAI.value, ProviderName.COHERE.value,
if provider in [ProviderName.AZURE_OPENAI.value, ProviderName.COHERE.value,
ProviderName.HUGGINGFACEHUB.value]:
return {'result': 'success', 'warning': 'MOCK: This provider is not supported yet.'}, 201
@ -157,7 +160,7 @@ class ProviderTokenValidateApi(Resource):
args = parser.parse_args()
# todo: remove this when the provider is supported
if provider in [ProviderName.ANTHROPIC.value, ProviderName.COHERE.value,
if provider in [ProviderName.COHERE.value,
ProviderName.HUGGINGFACEHUB.value]:
return {'result': 'success', 'warning': 'MOCK: This provider is not supported yet.'}
@ -203,7 +206,19 @@ class ProviderSystemApi(Resource):
provider_model.is_valid = args['is_enabled']
db.session.commit()
elif not provider_model:
ProviderService.create_system_provider(tenant, provider, args['is_enabled'])
if provider == ProviderName.OPENAI.value:
quota_limit = current_app.config['OPENAI_HOSTED_QUOTA_LIMIT']
elif provider == ProviderName.ANTHROPIC.value:
quota_limit = current_app.config['ANTHROPIC_HOSTED_QUOTA_LIMIT']
else:
quota_limit = 0
ProviderService.create_system_provider(
tenant,
provider,
quota_limit,
args['is_enabled']
)
else:
abort(403)

View File

@ -43,8 +43,8 @@ class AudioApi(AppApiResource):
raise UnsupportedAudioTypeError()
except ProviderNotSupportSpeechToTextServiceError:
raise ProviderNotSupportSpeechToTextError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:

View File

@ -54,8 +54,8 @@ class CompletionApi(AppApiResource):
except services.errors.app_model_config.AppModelConfigBrokenError:
logging.exception("App model config broken.")
raise AppUnavailableError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
@ -115,8 +115,8 @@ class ChatApi(AppApiResource):
except services.errors.app_model_config.AppModelConfigBrokenError:
logging.exception("App model config broken.")
raise AppUnavailableError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
@ -156,8 +156,8 @@ def compact_response(response: Union[dict | Generator]) -> Response:
except services.errors.app_model_config.AppModelConfigBrokenError:
logging.exception("App model config broken.")
yield "data: " + json.dumps(api.handle_error(AppUnavailableError()).get_json()) + "\n\n"
except ProviderTokenNotInitError:
yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError()).get_json()) + "\n\n"
except ProviderTokenNotInitError as ex:
yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError(ex.description)).get_json()) + "\n\n"
except QuotaExceededError:
yield "data: " + json.dumps(api.handle_error(ProviderQuotaExceededError()).get_json()) + "\n\n"
except ModelCurrentlyNotSupportError:

View File

@ -1,4 +1,5 @@
# -*- coding:utf-8 -*-
from flask import request
from flask_restful import fields, marshal_with, reqparse
from flask_restful.inputs import int_range
from werkzeug.exceptions import NotFound
@ -56,16 +57,14 @@ class ConversationDetailApi(AppApiResource):
conversation_id = str(c_id)
parser = reqparse.RequestParser()
parser.add_argument('user', type=str, location='args')
args = parser.parse_args()
user = request.get_json().get('user')
if end_user is None and args['user'] is not None:
end_user = create_or_update_end_user_for_user_id(app_model, args['user'])
if end_user is None and user is not None:
end_user = create_or_update_end_user_for_user_id(app_model, user)
try:
ConversationService.delete(app_model, conversation_id, end_user)
return {"result": "success"}, 204
return {"result": "success"}
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
@ -95,3 +94,4 @@ class ConversationRenameApi(AppApiResource):
api.add_resource(ConversationRenameApi, '/conversations/<uuid:c_id>/name', endpoint='conversation_name')
api.add_resource(ConversationApi, '/conversations')
api.add_resource(ConversationApi, '/conversations/<uuid:c_id>', endpoint='conversation')
api.add_resource(ConversationDetailApi, '/conversations/<uuid:c_id>', endpoint='conversation_detail')

View File

@ -85,8 +85,8 @@ class DocumentListApi(DatasetApiResource):
dataset_process_rule=dataset.latest_process_rule,
created_from='api'
)
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
document = documents[0]
if doc_type and doc_metadata:
metadata_schema = DocumentService.DOCUMENT_METADATA_SCHEMA[doc_type]

View File

@ -7,4 +7,4 @@ bp = Blueprint('web', __name__, url_prefix='/api')
api = ExternalApi(bp)
from . import completion, app, conversation, message, site, saved_message, audio
from . import completion, app, conversation, message, site, saved_message, audio, passport

View File

@ -45,8 +45,8 @@ class AudioApi(WebApiResource):
raise UnsupportedAudioTypeError()
except ProviderNotSupportSpeechToTextServiceError:
raise ProviderNotSupportSpeechToTextError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:

View File

@ -52,8 +52,8 @@ class CompletionApi(WebApiResource):
except services.errors.app_model_config.AppModelConfigBrokenError:
logging.exception("App model config broken.")
raise AppUnavailableError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
@ -109,8 +109,8 @@ class ChatApi(WebApiResource):
except services.errors.app_model_config.AppModelConfigBrokenError:
logging.exception("App model config broken.")
raise AppUnavailableError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
@ -150,8 +150,8 @@ def compact_response(response: Union[dict | Generator]) -> Response:
except services.errors.app_model_config.AppModelConfigBrokenError:
logging.exception("App model config broken.")
yield "data: " + json.dumps(api.handle_error(AppUnavailableError()).get_json()) + "\n\n"
except ProviderTokenNotInitError:
yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError()).get_json()) + "\n\n"
except ProviderTokenNotInitError as ex:
yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError(ex.description)).get_json()) + "\n\n"
except QuotaExceededError:
yield "data: " + json.dumps(api.handle_error(ProviderQuotaExceededError()).get_json()) + "\n\n"
except ModelCurrentlyNotSupportError:

View File

@ -101,8 +101,8 @@ class MessageMoreLikeThisApi(WebApiResource):
raise NotFound("Message Not Exists.")
except MoreLikeThisDisabledError:
raise AppMoreLikeThisDisabledError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
@ -129,8 +129,8 @@ def compact_response(response: Union[dict | Generator]) -> Response:
yield "data: " + json.dumps(api.handle_error(NotFound("Message Not Exists.")).get_json()) + "\n\n"
except MoreLikeThisDisabledError:
yield "data: " + json.dumps(api.handle_error(AppMoreLikeThisDisabledError()).get_json()) + "\n\n"
except ProviderTokenNotInitError:
yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError()).get_json()) + "\n\n"
except ProviderTokenNotInitError as ex:
yield "data: " + json.dumps(api.handle_error(ProviderNotInitializeError(ex.description)).get_json()) + "\n\n"
except QuotaExceededError:
yield "data: " + json.dumps(api.handle_error(ProviderQuotaExceededError()).get_json()) + "\n\n"
except ModelCurrentlyNotSupportError:
@ -167,8 +167,8 @@ class MessageSuggestedQuestionApi(WebApiResource):
raise NotFound("Conversation not found")
except SuggestedQuestionsAfterAnswerDisabledError:
raise AppSuggestedQuestionsAfterAnswerDisabledError()
except ProviderTokenNotInitError:
raise ProviderNotInitializeError()
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:

View File

@ -0,0 +1,64 @@
# -*- coding:utf-8 -*-
import uuid
from controllers.web import api
from flask_restful import Resource
from flask import request
from werkzeug.exceptions import Unauthorized, NotFound
from models.model import Site, EndUser, App
from extensions.ext_database import db
from libs.passport import PassportService
class PassportResource(Resource):
"""Base resource for passport."""
def get(self):
app_id = request.headers.get('X-App-Code')
if app_id is None:
raise Unauthorized('X-App-Code header is missing.')
# get site from db and check if it is normal
site = db.session.query(Site).filter(
Site.code == app_id,
Site.status == 'normal'
).first()
if not site:
raise NotFound()
# get app from db and check if it is normal and enable_site
app_model = db.session.query(App).filter(App.id == site.app_id).first()
if not app_model or app_model.status != 'normal' or not app_model.enable_site:
raise NotFound()
end_user = EndUser(
tenant_id=app_model.tenant_id,
app_id=app_model.id,
type='browser',
is_anonymous=True,
session_id=generate_session_id(),
)
db.session.add(end_user)
db.session.commit()
payload = {
"iss": site.app_id,
'sub': 'Web API Passport',
'app_id': site.app_id,
'end_user_id': end_user.id,
}
tk = PassportService().issue(payload)
return {
'access_token': tk,
}
api.add_resource(PassportResource, '/passport')
def generate_session_id():
"""
Generate a unique session ID.
"""
while True:
session_id = str(uuid.uuid4())
existing_count = db.session.query(EndUser) \
.filter(EndUser.session_id == session_id).count()
if existing_count == 0:
return session_id

View File

@ -1,110 +1,48 @@
# -*- coding:utf-8 -*-
import uuid
from functools import wraps
from flask import request, session
from flask import request
from flask_restful import Resource
from werkzeug.exceptions import NotFound, Unauthorized
from extensions.ext_database import db
from models.model import App, Site, EndUser
from models.model import App, EndUser
from libs.passport import PassportService
def validate_token(view=None):
def validate_jwt_token(view=None):
def decorator(view):
@wraps(view)
def decorated(*args, **kwargs):
site = validate_and_get_site()
app_model = db.session.query(App).filter(App.id == site.app_id).first()
if not app_model:
raise NotFound()
if app_model.status != 'normal':
raise NotFound()
if not app_model.enable_site:
raise NotFound()
end_user = create_or_update_end_user_for_session(app_model)
app_model, end_user = decode_jwt_token()
return view(app_model, end_user, *args, **kwargs)
return decorated
if view:
return decorator(view)
return decorator
def validate_and_get_site():
"""
Validate and get API token.
"""
def decode_jwt_token():
auth_header = request.headers.get('Authorization')
if auth_header is None:
raise Unauthorized('Authorization header is missing.')
if ' ' not in auth_header:
raise Unauthorized('Invalid Authorization header format. Expected \'Bearer <api-key>\' format.')
auth_scheme, auth_token = auth_header.split(None, 1)
auth_scheme, tk = auth_header.split(None, 1)
auth_scheme = auth_scheme.lower()
if auth_scheme != 'bearer':
raise Unauthorized('Invalid Authorization header format. Expected \'Bearer <api-key>\' format.')
site = db.session.query(Site).filter(
Site.code == auth_token,
Site.status == 'normal'
).first()
if not site:
decoded = PassportService().verify(tk)
app_model = db.session.query(App).filter(App.id == decoded['app_id']).first()
if not app_model:
raise NotFound()
end_user = db.session.query(EndUser).filter(EndUser.id == decoded['end_user_id']).first()
if not end_user:
raise NotFound()
return site
def create_or_update_end_user_for_session(app_model):
"""
Create or update session terminal based on session ID.
"""
if 'session_id' not in session:
session['session_id'] = generate_session_id()
session_id = session.get('session_id')
end_user = db.session.query(EndUser) \
.filter(
EndUser.session_id == session_id,
EndUser.type == 'browser'
).first()
if end_user is None:
end_user = EndUser(
tenant_id=app_model.tenant_id,
app_id=app_model.id,
type='browser',
is_anonymous=True,
session_id=session_id
)
db.session.add(end_user)
db.session.commit()
return end_user
def generate_session_id():
"""
Generate a unique session ID.
"""
count = 1
session_id = ''
while count != 0:
session_id = str(uuid.uuid4())
count = db.session.query(EndUser) \
.filter(EndUser.session_id == session_id).count()
return session_id
return app_model, end_user
class WebApiResource(Resource):
method_decorators = [validate_token]
method_decorators = [validate_jwt_token]

View File

@ -13,8 +13,13 @@ class HostedOpenAICredential(BaseModel):
api_key: str
class HostedAnthropicCredential(BaseModel):
api_key: str
class HostedLLMCredentials(BaseModel):
openai: Optional[HostedOpenAICredential] = None
anthropic: Optional[HostedAnthropicCredential] = None
hosted_llm_credentials = HostedLLMCredentials()
@ -26,3 +31,6 @@ def init_app(app: Flask):
if app.config.get("OPENAI_API_KEY"):
hosted_llm_credentials.openai = HostedOpenAICredential(api_key=app.config.get("OPENAI_API_KEY"))
if app.config.get("ANTHROPIC_API_KEY"):
hosted_llm_credentials.anthropic = HostedAnthropicCredential(api_key=app.config.get("ANTHROPIC_API_KEY"))

View File

@ -48,7 +48,7 @@ class LLMCallbackHandler(BaseCallbackHandler):
})
self.llm_message.prompt = real_prompts
self.llm_message.prompt_tokens = self.llm.get_messages_tokens(messages[0])
self.llm_message.prompt_tokens = self.llm.get_num_tokens_from_messages(messages[0])
def on_llm_start(
self, serialized: Dict[str, Any], prompts: List[str], **kwargs: Any
@ -69,9 +69,8 @@ class LLMCallbackHandler(BaseCallbackHandler):
if not self.conversation_message_task.streaming:
self.conversation_message_task.append_message_text(response.generations[0][0].text)
self.llm_message.completion = response.generations[0][0].text
self.llm_message.completion_tokens = response.llm_output['token_usage']['completion_tokens']
else:
self.llm_message.completion_tokens = self.llm.get_num_tokens(self.llm_message.completion)
self.llm_message.completion_tokens = self.llm.get_num_tokens(self.llm_message.completion)
self.conversation_message_task.save_message(self.llm_message)

View File

@ -118,6 +118,7 @@ class Completion:
prompt, stop_words = cls.get_main_llm_prompt(
mode=mode,
llm=final_llm,
model=app_model_config.model_dict,
pre_prompt=app_model_config.pre_prompt,
query=query,
inputs=inputs,
@ -129,6 +130,7 @@ class Completion:
cls.recale_llm_max_tokens(
final_llm=final_llm,
model=app_model_config.model_dict,
prompt=prompt,
mode=mode
)
@ -138,7 +140,8 @@ class Completion:
return response
@classmethod
def get_main_llm_prompt(cls, mode: str, llm: BaseLanguageModel, pre_prompt: str, query: str, inputs: dict,
def get_main_llm_prompt(cls, mode: str, llm: BaseLanguageModel, model: dict,
pre_prompt: str, query: str, inputs: dict,
chain_output: Optional[str],
memory: Optional[ReadOnlyConversationTokenDBBufferSharedMemory]) -> \
Tuple[Union[str | List[BaseMessage]], Optional[List[str]]]:
@ -151,10 +154,11 @@ class Completion:
if mode == 'completion':
prompt_template = JinjaPromptTemplate.from_template(
template=("""Use the following CONTEXT as your learned knowledge:
[CONTEXT]
template=("""Use the following context as your learned knowledge, inside <context></context> XML tags.
<context>
{{context}}
[END CONTEXT]
</context>
When answer to user:
- If you don't know, just say that you don't know.
@ -204,10 +208,11 @@ And answer according to the language of the user's question.
if chain_output:
human_inputs['context'] = chain_output
human_message_prompt += """Use the following CONTEXT as your learned knowledge.
[CONTEXT]
human_message_prompt += """Use the following context as your learned knowledge, inside <context></context> XML tags.
<context>
{{context}}
[END CONTEXT]
</context>
When answer to user:
- If you don't know, just say that you don't know.
@ -219,7 +224,7 @@ And answer according to the language of the user's question.
if pre_prompt:
human_message_prompt += pre_prompt
query_prompt = "\nHuman: {{query}}\nAI: "
query_prompt = "\n\nHuman: {{query}}\n\nAssistant: "
if memory:
# append chat histories
@ -228,9 +233,11 @@ And answer according to the language of the user's question.
inputs=human_inputs
)
curr_message_tokens = memory.llm.get_messages_tokens([tmp_human_message])
rest_tokens = llm_constant.max_context_token_length[memory.llm.model_name] \
- memory.llm.max_tokens - curr_message_tokens
curr_message_tokens = memory.llm.get_num_tokens_from_messages([tmp_human_message])
model_name = model['name']
max_tokens = model.get("completion_params").get('max_tokens')
rest_tokens = llm_constant.max_context_token_length[model_name] \
- max_tokens - curr_message_tokens
rest_tokens = max(rest_tokens, 0)
histories = cls.get_history_messages_from_memory(memory, rest_tokens)
@ -241,7 +248,10 @@ And answer according to the language of the user's question.
# if histories_param not in human_inputs:
# human_inputs[histories_param] = '{{' + histories_param + '}}'
human_message_prompt += "\n\n" + histories
human_message_prompt += "\n\n" if human_message_prompt else ""
human_message_prompt += "Here is the chat histories between human and assistant, " \
"inside <histories></histories> XML tags.\n\n<histories>"
human_message_prompt += histories + "</histories>"
human_message_prompt += query_prompt
@ -307,13 +317,15 @@ And answer according to the language of the user's question.
model=app_model_config.model_dict
)
model_limited_tokens = llm_constant.max_context_token_length[llm.model_name]
max_tokens = llm.max_tokens
model_name = app_model_config.model_dict.get("name")
model_limited_tokens = llm_constant.max_context_token_length[model_name]
max_tokens = app_model_config.model_dict.get("completion_params").get('max_tokens')
# get prompt without memory and context
prompt, _ = cls.get_main_llm_prompt(
mode=mode,
llm=llm,
model=app_model_config.model_dict,
pre_prompt=app_model_config.pre_prompt,
query=query,
inputs=inputs,
@ -332,16 +344,17 @@ And answer according to the language of the user's question.
return rest_tokens
@classmethod
def recale_llm_max_tokens(cls, final_llm: Union[StreamableOpenAI, StreamableChatOpenAI],
def recale_llm_max_tokens(cls, final_llm: BaseLanguageModel, model: dict,
prompt: Union[str, List[BaseMessage]], mode: str):
# recalc max_tokens if sum(prompt_token + max_tokens) over model token limit
model_limited_tokens = llm_constant.max_context_token_length[final_llm.model_name]
max_tokens = final_llm.max_tokens
model_name = model.get("name")
model_limited_tokens = llm_constant.max_context_token_length[model_name]
max_tokens = model.get("completion_params").get('max_tokens')
if mode == 'completion' and isinstance(final_llm, BaseLLM):
prompt_tokens = final_llm.get_num_tokens(prompt)
else:
prompt_tokens = final_llm.get_messages_tokens(prompt)
prompt_tokens = final_llm.get_num_tokens_from_messages(prompt)
if prompt_tokens + max_tokens > model_limited_tokens:
max_tokens = max(model_limited_tokens - prompt_tokens, 16)
@ -350,9 +363,10 @@ And answer according to the language of the user's question.
@classmethod
def generate_more_like_this(cls, task_id: str, app: App, message: Message, pre_prompt: str,
app_model_config: AppModelConfig, user: Account, streaming: bool):
llm: StreamableOpenAI = LLMBuilder.to_llm(
llm = LLMBuilder.to_llm_from_model(
tenant_id=app.tenant_id,
model_name='gpt-3.5-turbo',
model=app_model_config.model_dict,
streaming=streaming
)
@ -360,6 +374,7 @@ And answer according to the language of the user's question.
original_prompt, _ = cls.get_main_llm_prompt(
mode="completion",
llm=llm,
model=app_model_config.model_dict,
pre_prompt=pre_prompt,
query=message.query,
inputs=message.inputs,
@ -390,6 +405,7 @@ And answer according to the language of the user's question.
cls.recale_llm_max_tokens(
final_llm=llm,
model=app_model_config.model_dict,
prompt=prompt,
mode='completion'
)

View File

@ -1,6 +1,8 @@
from _decimal import Decimal
models = {
'claude-instant-1': 'anthropic', # 100,000 tokens
'claude-2': 'anthropic', # 100,000 tokens
'gpt-4': 'openai', # 8,192 tokens
'gpt-4-32k': 'openai', # 32,768 tokens
'gpt-3.5-turbo': 'openai', # 4,096 tokens
@ -10,10 +12,13 @@ models = {
'text-curie-001': 'openai', # 2,049 tokens
'text-babbage-001': 'openai', # 2,049 tokens
'text-ada-001': 'openai', # 2,049 tokens
'text-embedding-ada-002': 'openai' # 8191 tokens, 1536 dimensions
'text-embedding-ada-002': 'openai', # 8191 tokens, 1536 dimensions
'whisper-1': 'openai'
}
max_context_token_length = {
'claude-instant-1': 100000,
'claude-2': 100000,
'gpt-4': 8192,
'gpt-4-32k': 32768,
'gpt-3.5-turbo': 4096,
@ -23,17 +28,21 @@ max_context_token_length = {
'text-curie-001': 2049,
'text-babbage-001': 2049,
'text-ada-001': 2049,
'text-embedding-ada-002': 8191
'text-embedding-ada-002': 8191,
}
models_by_mode = {
'chat': [
'claude-instant-1', # 100,000 tokens
'claude-2', # 100,000 tokens
'gpt-4', # 8,192 tokens
'gpt-4-32k', # 32,768 tokens
'gpt-3.5-turbo', # 4,096 tokens
'gpt-3.5-turbo-16k', # 16,384 tokens
],
'completion': [
'claude-instant-1', # 100,000 tokens
'claude-2', # 100,000 tokens
'gpt-4', # 8,192 tokens
'gpt-4-32k', # 32,768 tokens
'gpt-3.5-turbo', # 4,096 tokens
@ -52,6 +61,14 @@ models_by_mode = {
model_currency = 'USD'
model_prices = {
'claude-instant-1': {
'prompt': Decimal('0.00163'),
'completion': Decimal('0.00551'),
},
'claude-2': {
'prompt': Decimal('0.01102'),
'completion': Decimal('0.03268'),
},
'gpt-4': {
'prompt': Decimal('0.03'),
'completion': Decimal('0.06'),

View File

@ -56,7 +56,7 @@ class ConversationMessageTask:
)
def init(self):
provider_name = LLMBuilder.get_default_provider(self.app.tenant_id)
provider_name = LLMBuilder.get_default_provider(self.app.tenant_id, self.model_name)
self.model_dict['provider'] = provider_name
override_model_configs = None
@ -89,7 +89,7 @@ class ConversationMessageTask:
system_message = PromptBuilder.to_system_message(self.app_model_config.pre_prompt, self.inputs)
system_instruction = system_message.content
llm = LLMBuilder.to_llm(self.tenant_id, self.model_name)
system_instruction_tokens = llm.get_messages_tokens([system_message])
system_instruction_tokens = llm.get_num_tokens_from_messages([system_message])
if not self.conversation:
self.is_new_conversation = True
@ -185,6 +185,7 @@ class ConversationMessageTask:
if provider and provider.provider_type == ProviderType.SYSTEM.value:
db.session.query(Provider).filter(
Provider.tenant_id == self.app.tenant_id,
Provider.provider_name == provider.provider_name,
Provider.quota_limit > Provider.quota_used
).update({'quota_used': Provider.quota_used + 1})

View File

@ -4,6 +4,7 @@ from typing import List
from langchain.embeddings.base import Embeddings
from sqlalchemy.exc import IntegrityError
from core.llm.wrappers.openai_wrapper import handle_openai_exceptions
from extensions.ext_database import db
from libs import helper
from models.dataset import Embedding
@ -49,6 +50,7 @@ class CacheEmbedding(Embeddings):
text_embeddings.extend(embedding_results)
return text_embeddings
@handle_openai_exceptions
def embed_query(self, text: str) -> List[float]:
"""Embed query text."""
# use doc embedding cache or store if not exists

View File

@ -23,6 +23,10 @@ class LLMGenerator:
@classmethod
def generate_conversation_name(cls, tenant_id: str, query, answer):
prompt = CONVERSATION_TITLE_PROMPT
if len(query) > 2000:
query = query[:300] + "...[TRUNCATED]..." + query[-300:]
prompt = prompt.format(query=query)
llm: StreamableOpenAI = LLMBuilder.to_llm(
tenant_id=tenant_id,
@ -52,7 +56,17 @@ class LLMGenerator:
if not message.answer:
continue
message_qa_text = "Human:" + message.query + "\nAI:" + message.answer + "\n"
if len(message.query) > 2000:
query = message.query[:300] + "...[TRUNCATED]..." + message.query[-300:]
else:
query = message.query
if len(message.answer) > 2000:
answer = message.answer[:300] + "...[TRUNCATED]..." + message.answer[-300:]
else:
answer = message.answer
message_qa_text = "\n\nHuman:" + query + "\n\nAssistant:" + answer
if rest_tokens - TokenCalculator.get_num_tokens(model, context + message_qa_text) > 0:
context += message_qa_text

View File

@ -17,7 +17,7 @@ class IndexBuilder:
model_credentials = LLMBuilder.get_model_credentials(
tenant_id=dataset.tenant_id,
model_provider=LLMBuilder.get_default_provider(dataset.tenant_id),
model_provider=LLMBuilder.get_default_provider(dataset.tenant_id, 'text-embedding-ada-002'),
model_name='text-embedding-ada-002'
)

View File

@ -40,6 +40,9 @@ class ProviderTokenNotInitError(Exception):
"""
description = "Provider Token Not Init"
def __init__(self, *args, **kwargs):
self.description = args[0] if args else self.description
class QuotaExceededError(Exception):
"""

View File

@ -8,9 +8,10 @@ from core.llm.provider.base import BaseProvider
from core.llm.provider.llm_provider_service import LLMProviderService
from core.llm.streamable_azure_chat_open_ai import StreamableAzureChatOpenAI
from core.llm.streamable_azure_open_ai import StreamableAzureOpenAI
from core.llm.streamable_chat_anthropic import StreamableChatAnthropic
from core.llm.streamable_chat_open_ai import StreamableChatOpenAI
from core.llm.streamable_open_ai import StreamableOpenAI
from models.provider import ProviderType
from models.provider import ProviderType, ProviderName
class LLMBuilder:
@ -32,43 +33,43 @@ class LLMBuilder:
@classmethod
def to_llm(cls, tenant_id: str, model_name: str, **kwargs) -> Union[StreamableOpenAI, StreamableChatOpenAI]:
provider = cls.get_default_provider(tenant_id)
provider = cls.get_default_provider(tenant_id, model_name)
model_credentials = cls.get_model_credentials(tenant_id, provider, model_name)
llm_cls = None
mode = cls.get_mode_by_model(model_name)
if mode == 'chat':
if provider == 'openai':
if provider == ProviderName.OPENAI.value:
llm_cls = StreamableChatOpenAI
else:
elif provider == ProviderName.AZURE_OPENAI.value:
llm_cls = StreamableAzureChatOpenAI
elif provider == ProviderName.ANTHROPIC.value:
llm_cls = StreamableChatAnthropic
elif mode == 'completion':
if provider == 'openai':
if provider == ProviderName.OPENAI.value:
llm_cls = StreamableOpenAI
else:
elif provider == ProviderName.AZURE_OPENAI.value:
llm_cls = StreamableAzureOpenAI
else:
if not llm_cls:
raise ValueError(f"model name {model_name} is not supported.")
model_kwargs = {
'model_name': model_name,
'temperature': kwargs.get('temperature', 0),
'max_tokens': kwargs.get('max_tokens', 256),
'top_p': kwargs.get('top_p', 1),
'frequency_penalty': kwargs.get('frequency_penalty', 0),
'presence_penalty': kwargs.get('presence_penalty', 0),
'callbacks': kwargs.get('callbacks', None),
'streaming': kwargs.get('streaming', False),
}
model_extras_kwargs = model_kwargs if mode == 'completion' else {'model_kwargs': model_kwargs}
model_kwargs.update(model_credentials)
model_kwargs = llm_cls.get_kwargs_from_model_params(model_kwargs)
return llm_cls(
model_name=model_name,
temperature=kwargs.get('temperature', 0),
max_tokens=kwargs.get('max_tokens', 256),
**model_extras_kwargs,
callbacks=kwargs.get('callbacks', None),
streaming=kwargs.get('streaming', False),
# request_timeout=None
**model_credentials
)
return llm_cls(**model_kwargs)
@classmethod
def to_llm_from_model(cls, tenant_id: str, model: dict, streaming: bool = False,
@ -118,14 +119,30 @@ class LLMBuilder:
return provider_service.get_credentials(model_name)
@classmethod
def get_default_provider(cls, tenant_id: str) -> str:
provider = BaseProvider.get_valid_provider(tenant_id)
if not provider:
raise ProviderTokenNotInitError()
def get_default_provider(cls, tenant_id: str, model_name: str) -> str:
provider_name = llm_constant.models[model_name]
if provider_name == 'openai':
# get the default provider (openai / azure_openai) for the tenant
openai_provider = BaseProvider.get_valid_provider(tenant_id, ProviderName.OPENAI.value)
azure_openai_provider = BaseProvider.get_valid_provider(tenant_id, ProviderName.AZURE_OPENAI.value)
provider = None
if openai_provider and openai_provider.provider_type == ProviderType.CUSTOM.value:
provider = openai_provider
elif azure_openai_provider and azure_openai_provider.provider_type == ProviderType.CUSTOM.value:
provider = azure_openai_provider
elif openai_provider and openai_provider.provider_type == ProviderType.SYSTEM.value:
provider = openai_provider
elif azure_openai_provider and azure_openai_provider.provider_type == ProviderType.SYSTEM.value:
provider = azure_openai_provider
if not provider:
raise ProviderTokenNotInitError(
f"No valid {provider_name} model provider credentials found. "
f"Please go to Settings -> Model Provider to complete your provider credentials."
)
if provider.provider_type == ProviderType.SYSTEM.value:
provider_name = 'openai'
else:
provider_name = provider.provider_name
return provider_name

View File

@ -1,23 +1,138 @@
from typing import Optional
import json
import logging
from typing import Optional, Union
import anthropic
from langchain.chat_models import ChatAnthropic
from langchain.schema import HumanMessage
from core import hosted_llm_credentials
from core.llm.error import ProviderTokenNotInitError
from core.llm.provider.base import BaseProvider
from models.provider import ProviderName
from core.llm.provider.errors import ValidateFailedError
from models.provider import ProviderName, ProviderType
class AnthropicProvider(BaseProvider):
def get_models(self, model_id: Optional[str] = None) -> list[dict]:
credentials = self.get_credentials(model_id)
# todo
return []
return [
{
'id': 'claude-instant-1',
'name': 'claude-instant-1',
},
{
'id': 'claude-2',
'name': 'claude-2',
},
]
def get_credentials(self, model_id: Optional[str] = None) -> dict:
"""
Returns the API credentials for Azure OpenAI as a dictionary, for the given tenant_id.
The dictionary contains keys: azure_api_type, azure_api_version, azure_api_base, and azure_api_key.
"""
return {
'anthropic_api_key': self.get_provider_api_key(model_id=model_id)
}
return self.get_provider_api_key(model_id=model_id)
def get_provider_name(self):
return ProviderName.ANTHROPIC
return ProviderName.ANTHROPIC
def get_provider_configs(self, obfuscated: bool = False, only_custom: bool = False) -> Union[str | dict]:
"""
Returns the provider configs.
"""
try:
config = self.get_provider_api_key(only_custom=only_custom)
except:
config = {
'anthropic_api_key': ''
}
if obfuscated:
if not config.get('anthropic_api_key'):
config = {
'anthropic_api_key': ''
}
config['anthropic_api_key'] = self.obfuscated_token(config.get('anthropic_api_key'))
return config
return config
def get_encrypted_token(self, config: Union[dict | str]):
"""
Returns the encrypted token.
"""
return json.dumps({
'anthropic_api_key': self.encrypt_token(config['anthropic_api_key'])
})
def get_decrypted_token(self, token: str):
"""
Returns the decrypted token.
"""
config = json.loads(token)
config['anthropic_api_key'] = self.decrypt_token(config['anthropic_api_key'])
return config
def get_token_type(self):
return dict
def config_validate(self, config: Union[dict | str]):
"""
Validates the given config.
"""
# check OpenAI / Azure OpenAI credential is valid
openai_provider = BaseProvider.get_valid_provider(self.tenant_id, ProviderName.OPENAI.value)
azure_openai_provider = BaseProvider.get_valid_provider(self.tenant_id, ProviderName.AZURE_OPENAI.value)
provider = None
if openai_provider:
provider = openai_provider
elif azure_openai_provider:
provider = azure_openai_provider
if not provider:
raise ValidateFailedError(f"OpenAI or Azure OpenAI provider must be configured first.")
if provider.provider_type == ProviderType.SYSTEM.value:
quota_used = provider.quota_used if provider.quota_used is not None else 0
quota_limit = provider.quota_limit if provider.quota_limit is not None else 0
if quota_used >= quota_limit:
raise ValidateFailedError(f"Your quota for Dify Hosted OpenAI has been exhausted, "
f"please configure OpenAI or Azure OpenAI provider first.")
try:
if not isinstance(config, dict):
raise ValueError('Config must be a object.')
if 'anthropic_api_key' not in config:
raise ValueError('anthropic_api_key must be provided.')
chat_llm = ChatAnthropic(
model='claude-instant-1',
anthropic_api_key=config['anthropic_api_key'],
max_tokens_to_sample=10,
temperature=0,
default_request_timeout=60
)
messages = [
HumanMessage(
content="ping"
)
]
chat_llm(messages)
except anthropic.APIConnectionError as ex:
raise ValidateFailedError(f"Anthropic: Connection error, cause: {ex.__cause__}")
except (anthropic.APIStatusError, anthropic.RateLimitError) as ex:
raise ValidateFailedError(f"Anthropic: Error code: {ex.status_code} - "
f"{ex.body['error']['type']}: {ex.body['error']['message']}")
except Exception as ex:
logging.exception('Anthropic config validation failed')
raise ex
def get_hosted_credentials(self) -> Union[str | dict]:
if not hosted_llm_credentials.anthropic or not hosted_llm_credentials.anthropic.api_key:
raise ProviderTokenNotInitError(
f"No valid {self.get_provider_name().value} model provider credentials found. "
f"Please go to Settings -> Model Provider to complete your provider credentials."
)
return {'anthropic_api_key': hosted_llm_credentials.anthropic.api_key}

View File

@ -52,12 +52,12 @@ class AzureProvider(BaseProvider):
def get_provider_name(self):
return ProviderName.AZURE_OPENAI
def get_provider_configs(self, obfuscated: bool = False) -> Union[str | dict]:
def get_provider_configs(self, obfuscated: bool = False, only_custom: bool = False) -> Union[str | dict]:
"""
Returns the provider configs.
"""
try:
config = self.get_provider_api_key()
config = self.get_provider_api_key(only_custom=only_custom)
except:
config = {
'openai_api_type': 'azure',
@ -81,7 +81,6 @@ class AzureProvider(BaseProvider):
return config
def get_token_type(self):
# TODO: change to dict when implemented
return dict
def config_validate(self, config: Union[dict | str]):
@ -98,12 +97,11 @@ class AzureProvider(BaseProvider):
models = self.get_models(credentials=config)
if not models:
raise ValidateFailedError("Please add deployments for 'text-davinci-003', "
raise ValidateFailedError("Please add deployments for "
"'gpt-3.5-turbo', 'text-embedding-ada-002' (required) "
"and 'gpt-4', 'gpt-35-turbo-16k' (optional).")
"and 'gpt-4', 'gpt-35-turbo-16k', 'text-davinci-003' (optional).")
fixed_model_ids = [
'text-davinci-003',
'gpt-35-turbo',
'text-embedding-ada-002'
]

View File

@ -2,7 +2,7 @@ import base64
from abc import ABC, abstractmethod
from typing import Optional, Union
from core import hosted_llm_credentials
from core.constant import llm_constant
from core.llm.error import QuotaExceededError, ModelCurrentlyNotSupportError, ProviderTokenNotInitError
from extensions.ext_database import db
from libs import rsa
@ -14,15 +14,18 @@ class BaseProvider(ABC):
def __init__(self, tenant_id: str):
self.tenant_id = tenant_id
def get_provider_api_key(self, model_id: Optional[str] = None, prefer_custom: bool = True) -> Union[str | dict]:
def get_provider_api_key(self, model_id: Optional[str] = None, only_custom: bool = False) -> Union[str | dict]:
"""
Returns the decrypted API key for the given tenant_id and provider_name.
If the provider is of type SYSTEM and the quota is exceeded, raises a QuotaExceededError.
If the provider is not found or not valid, raises a ProviderTokenNotInitError.
"""
provider = self.get_provider(prefer_custom)
provider = self.get_provider(only_custom)
if not provider:
raise ProviderTokenNotInitError()
raise ProviderTokenNotInitError(
f"No valid {llm_constant.models[model_id]} model provider credentials found. "
f"Please go to Settings -> Model Provider to complete your provider credentials."
)
if provider.provider_type == ProviderType.SYSTEM.value:
quota_used = provider.quota_used if provider.quota_used is not None else 0
@ -38,18 +41,19 @@ class BaseProvider(ABC):
else:
return self.get_decrypted_token(provider.encrypted_config)
def get_provider(self, prefer_custom: bool) -> Optional[Provider]:
def get_provider(self, only_custom: bool = False) -> Optional[Provider]:
"""
Returns the Provider instance for the given tenant_id and provider_name.
If both CUSTOM and System providers exist, the preferred provider will be returned based on the prefer_custom flag.
"""
return BaseProvider.get_valid_provider(self.tenant_id, self.get_provider_name().value, prefer_custom)
return BaseProvider.get_valid_provider(self.tenant_id, self.get_provider_name().value, only_custom)
@classmethod
def get_valid_provider(cls, tenant_id: str, provider_name: str = None, prefer_custom: bool = False) -> Optional[Provider]:
def get_valid_provider(cls, tenant_id: str, provider_name: str = None, only_custom: bool = False) -> Optional[
Provider]:
"""
Returns the Provider instance for the given tenant_id and provider_name.
If both CUSTOM and System providers exist, the preferred provider will be returned based on the prefer_custom flag.
If both CUSTOM and System providers exist.
"""
query = db.session.query(Provider).filter(
Provider.tenant_id == tenant_id
@ -58,39 +62,31 @@ class BaseProvider(ABC):
if provider_name:
query = query.filter(Provider.provider_name == provider_name)
providers = query.order_by(Provider.provider_type.desc() if prefer_custom else Provider.provider_type).all()
if only_custom:
query = query.filter(Provider.provider_type == ProviderType.CUSTOM.value)
custom_provider = None
system_provider = None
providers = query.order_by(Provider.provider_type.asc()).all()
for provider in providers:
if provider.provider_type == ProviderType.CUSTOM.value and provider.is_valid and provider.encrypted_config:
custom_provider = provider
return provider
elif provider.provider_type == ProviderType.SYSTEM.value and provider.is_valid:
system_provider = provider
return provider
if custom_provider:
return custom_provider
elif system_provider:
return system_provider
else:
return None
return None
def get_hosted_credentials(self) -> str:
if self.get_provider_name() != ProviderName.OPENAI:
raise ProviderTokenNotInitError()
def get_hosted_credentials(self) -> Union[str | dict]:
raise ProviderTokenNotInitError(
f"No valid {self.get_provider_name().value} model provider credentials found. "
f"Please go to Settings -> Model Provider to complete your provider credentials."
)
if not hosted_llm_credentials.openai or not hosted_llm_credentials.openai.api_key:
raise ProviderTokenNotInitError()
return hosted_llm_credentials.openai.api_key
def get_provider_configs(self, obfuscated: bool = False) -> Union[str | dict]:
def get_provider_configs(self, obfuscated: bool = False, only_custom: bool = False) -> Union[str | dict]:
"""
Returns the provider configs.
"""
try:
config = self.get_provider_api_key()
config = self.get_provider_api_key(only_custom=only_custom)
except:
config = ''

View File

@ -31,11 +31,11 @@ class LLMProviderService:
def get_credentials(self, model_id: Optional[str] = None) -> dict:
return self.provider.get_credentials(model_id)
def get_provider_configs(self, obfuscated: bool = False) -> Union[str | dict]:
return self.provider.get_provider_configs(obfuscated)
def get_provider_configs(self, obfuscated: bool = False, only_custom: bool = False) -> Union[str | dict]:
return self.provider.get_provider_configs(obfuscated=obfuscated, only_custom=only_custom)
def get_provider_db_record(self, prefer_custom: bool = False) -> Optional[Provider]:
return self.provider.get_provider(prefer_custom)
def get_provider_db_record(self) -> Optional[Provider]:
return self.provider.get_provider()
def config_validate(self, config: Union[dict | str]):
"""

View File

@ -4,6 +4,8 @@ from typing import Optional, Union
import openai
from openai.error import AuthenticationError, OpenAIError
from core import hosted_llm_credentials
from core.llm.error import ProviderTokenNotInitError
from core.llm.moderation import Moderation
from core.llm.provider.base import BaseProvider
from core.llm.provider.errors import ValidateFailedError
@ -42,3 +44,12 @@ class OpenAIProvider(BaseProvider):
except Exception as ex:
logging.exception('OpenAI config validation failed')
raise ex
def get_hosted_credentials(self) -> Union[str | dict]:
if not hosted_llm_credentials.openai or not hosted_llm_credentials.openai.api_key:
raise ProviderTokenNotInitError(
f"No valid {self.get_provider_name().value} model provider credentials found. "
f"Please go to Settings -> Model Provider to complete your provider credentials."
)
return hosted_llm_credentials.openai.api_key

View File

@ -1,11 +1,11 @@
from langchain.callbacks.manager import CallbackManagerForLLMRun, AsyncCallbackManagerForLLMRun, Callbacks
from langchain.schema import BaseMessage, ChatResult, LLMResult
from langchain.callbacks.manager import Callbacks
from langchain.schema import BaseMessage, LLMResult
from langchain.chat_models import AzureChatOpenAI
from typing import Optional, List, Dict, Any
from pydantic import root_validator
from core.llm.error_handle_wraps import handle_llm_exceptions, handle_llm_exceptions_async
from core.llm.wrappers.openai_wrapper import handle_openai_exceptions
class StreamableAzureChatOpenAI(AzureChatOpenAI):
@ -46,30 +46,7 @@ class StreamableAzureChatOpenAI(AzureChatOpenAI):
"organization": self.openai_organization if self.openai_organization else None,
}
def get_messages_tokens(self, messages: List[BaseMessage]) -> int:
"""Get the number of tokens in a list of messages.
Args:
messages: The messages to count the tokens of.
Returns:
The number of tokens in the messages.
"""
tokens_per_message = 5
tokens_per_request = 3
message_tokens = tokens_per_request
message_strs = ''
for message in messages:
message_strs += message.content
message_tokens += tokens_per_message
# calc once
message_tokens += self.get_num_tokens(message_strs)
return message_tokens
@handle_llm_exceptions
@handle_openai_exceptions
def generate(
self,
messages: List[List[BaseMessage]],
@ -79,12 +56,18 @@ class StreamableAzureChatOpenAI(AzureChatOpenAI):
) -> LLMResult:
return super().generate(messages, stop, callbacks, **kwargs)
@handle_llm_exceptions_async
async def agenerate(
self,
messages: List[List[BaseMessage]],
stop: Optional[List[str]] = None,
callbacks: Callbacks = None,
**kwargs: Any,
) -> LLMResult:
return await super().agenerate(messages, stop, callbacks, **kwargs)
@classmethod
def get_kwargs_from_model_params(cls, params: dict):
model_kwargs = {
'top_p': params.get('top_p', 1),
'frequency_penalty': params.get('frequency_penalty', 0),
'presence_penalty': params.get('presence_penalty', 0),
}
del params['top_p']
del params['frequency_penalty']
del params['presence_penalty']
params['model_kwargs'] = model_kwargs
return params

View File

@ -5,7 +5,7 @@ from typing import Optional, List, Dict, Mapping, Any
from pydantic import root_validator
from core.llm.error_handle_wraps import handle_llm_exceptions, handle_llm_exceptions_async
from core.llm.wrappers.openai_wrapper import handle_openai_exceptions
class StreamableAzureOpenAI(AzureOpenAI):
@ -50,7 +50,7 @@ class StreamableAzureOpenAI(AzureOpenAI):
"organization": self.openai_organization if self.openai_organization else None,
}}
@handle_llm_exceptions
@handle_openai_exceptions
def generate(
self,
prompts: List[str],
@ -60,12 +60,6 @@ class StreamableAzureOpenAI(AzureOpenAI):
) -> LLMResult:
return super().generate(prompts, stop, callbacks, **kwargs)
@handle_llm_exceptions_async
async def agenerate(
self,
prompts: List[str],
stop: Optional[List[str]] = None,
callbacks: Callbacks = None,
**kwargs: Any,
) -> LLMResult:
return await super().agenerate(prompts, stop, callbacks, **kwargs)
@classmethod
def get_kwargs_from_model_params(cls, params: dict):
return params

View File

@ -0,0 +1,39 @@
from typing import List, Optional, Any, Dict
from langchain.callbacks.manager import Callbacks
from langchain.chat_models import ChatAnthropic
from langchain.schema import BaseMessage, LLMResult
from core.llm.wrappers.anthropic_wrapper import handle_anthropic_exceptions
class StreamableChatAnthropic(ChatAnthropic):
"""
Wrapper around Anthropic's large language model.
"""
@handle_anthropic_exceptions
def generate(
self,
messages: List[List[BaseMessage]],
stop: Optional[List[str]] = None,
callbacks: Callbacks = None,
*,
tags: Optional[List[str]] = None,
metadata: Optional[Dict[str, Any]] = None,
**kwargs: Any,
) -> LLMResult:
return super().generate(messages, stop, callbacks, tags=tags, metadata=metadata, **kwargs)
@classmethod
def get_kwargs_from_model_params(cls, params: dict):
params['model'] = params.get('model_name')
del params['model_name']
params['max_tokens_to_sample'] = params.get('max_tokens')
del params['max_tokens']
del params['frequency_penalty']
del params['presence_penalty']
return params

View File

@ -7,7 +7,7 @@ from typing import Optional, List, Dict, Any
from pydantic import root_validator
from core.llm.error_handle_wraps import handle_llm_exceptions, handle_llm_exceptions_async
from core.llm.wrappers.openai_wrapper import handle_openai_exceptions
class StreamableChatOpenAI(ChatOpenAI):
@ -48,30 +48,7 @@ class StreamableChatOpenAI(ChatOpenAI):
"organization": self.openai_organization if self.openai_organization else None,
}
def get_messages_tokens(self, messages: List[BaseMessage]) -> int:
"""Get the number of tokens in a list of messages.
Args:
messages: The messages to count the tokens of.
Returns:
The number of tokens in the messages.
"""
tokens_per_message = 5
tokens_per_request = 3
message_tokens = tokens_per_request
message_strs = ''
for message in messages:
message_strs += message.content
message_tokens += tokens_per_message
# calc once
message_tokens += self.get_num_tokens(message_strs)
return message_tokens
@handle_llm_exceptions
@handle_openai_exceptions
def generate(
self,
messages: List[List[BaseMessage]],
@ -81,12 +58,18 @@ class StreamableChatOpenAI(ChatOpenAI):
) -> LLMResult:
return super().generate(messages, stop, callbacks, **kwargs)
@handle_llm_exceptions_async
async def agenerate(
self,
messages: List[List[BaseMessage]],
stop: Optional[List[str]] = None,
callbacks: Callbacks = None,
**kwargs: Any,
) -> LLMResult:
return await super().agenerate(messages, stop, callbacks, **kwargs)
@classmethod
def get_kwargs_from_model_params(cls, params: dict):
model_kwargs = {
'top_p': params.get('top_p', 1),
'frequency_penalty': params.get('frequency_penalty', 0),
'presence_penalty': params.get('presence_penalty', 0),
}
del params['top_p']
del params['frequency_penalty']
del params['presence_penalty']
params['model_kwargs'] = model_kwargs
return params

View File

@ -6,7 +6,7 @@ from typing import Optional, List, Dict, Any, Mapping
from langchain import OpenAI
from pydantic import root_validator
from core.llm.error_handle_wraps import handle_llm_exceptions, handle_llm_exceptions_async
from core.llm.wrappers.openai_wrapper import handle_openai_exceptions
class StreamableOpenAI(OpenAI):
@ -49,7 +49,7 @@ class StreamableOpenAI(OpenAI):
"organization": self.openai_organization if self.openai_organization else None,
}}
@handle_llm_exceptions
@handle_openai_exceptions
def generate(
self,
prompts: List[str],
@ -59,12 +59,6 @@ class StreamableOpenAI(OpenAI):
) -> LLMResult:
return super().generate(prompts, stop, callbacks, **kwargs)
@handle_llm_exceptions_async
async def agenerate(
self,
prompts: List[str],
stop: Optional[List[str]] = None,
callbacks: Callbacks = None,
**kwargs: Any,
) -> LLMResult:
return await super().agenerate(prompts, stop, callbacks, **kwargs)
@classmethod
def get_kwargs_from_model_params(cls, params: dict):
return params

View File

@ -1,6 +1,7 @@
import openai
from core.llm.wrappers.openai_wrapper import handle_openai_exceptions
from models.provider import ProviderName
from core.llm.error_handle_wraps import handle_llm_exceptions
from core.llm.provider.base import BaseProvider
@ -13,7 +14,7 @@ class Whisper:
self.client = openai.Audio
self.credentials = provider.get_credentials()
@handle_llm_exceptions
@handle_openai_exceptions
def transcribe(self, file):
return self.client.transcribe(
model='whisper-1',

View File

@ -0,0 +1,27 @@
import logging
from functools import wraps
import anthropic
from core.llm.error import LLMAPIConnectionError, LLMAPIUnavailableError, LLMRateLimitError, LLMAuthorizationError, \
LLMBadRequestError
def handle_anthropic_exceptions(func):
@wraps(func)
def wrapper(*args, **kwargs):
try:
return func(*args, **kwargs)
except anthropic.APIConnectionError as e:
logging.exception("Failed to connect to Anthropic API.")
raise LLMAPIConnectionError(f"Anthropic: The server could not be reached, cause: {e.__cause__}")
except anthropic.RateLimitError:
raise LLMRateLimitError("Anthropic: A 429 status code was received; we should back off a bit.")
except anthropic.AuthenticationError as e:
raise LLMAuthorizationError(f"Anthropic: {e.message}")
except anthropic.BadRequestError as e:
raise LLMBadRequestError(f"Anthropic: {e.message}")
except anthropic.APIStatusError as e:
raise LLMAPIUnavailableError(f"Anthropic: code: {e.status_code}, cause: {e.message}")
return wrapper

View File

@ -7,7 +7,7 @@ from core.llm.error import LLMAPIConnectionError, LLMAPIUnavailableError, LLMRat
LLMBadRequestError
def handle_llm_exceptions(func):
def handle_openai_exceptions(func):
@wraps(func)
def wrapper(*args, **kwargs):
try:
@ -29,27 +29,3 @@ def handle_llm_exceptions(func):
raise LLMBadRequestError(e.__class__.__name__ + ":" + str(e))
return wrapper
def handle_llm_exceptions_async(func):
@wraps(func)
async def wrapper(*args, **kwargs):
try:
return await func(*args, **kwargs)
except openai.error.InvalidRequestError as e:
logging.exception("Invalid request to OpenAI API.")
raise LLMBadRequestError(str(e))
except openai.error.APIConnectionError as e:
logging.exception("Failed to connect to OpenAI API.")
raise LLMAPIConnectionError(e.__class__.__name__ + ":" + str(e))
except (openai.error.APIError, openai.error.ServiceUnavailableError, openai.error.Timeout) as e:
logging.exception("OpenAI service unavailable.")
raise LLMAPIUnavailableError(e.__class__.__name__ + ":" + str(e))
except openai.error.RateLimitError as e:
raise LLMRateLimitError(str(e))
except openai.error.AuthenticationError as e:
raise LLMAuthorizationError(str(e))
except openai.error.OpenAIError as e:
raise LLMBadRequestError(e.__class__.__name__ + ":" + str(e))
return wrapper

View File

@ -1,7 +1,7 @@
from typing import Any, List, Dict, Union
from langchain.memory.chat_memory import BaseChatMemory
from langchain.schema import get_buffer_string, BaseMessage, HumanMessage, AIMessage
from langchain.schema import get_buffer_string, BaseMessage, HumanMessage, AIMessage, BaseLanguageModel
from core.llm.streamable_chat_open_ai import StreamableChatOpenAI
from core.llm.streamable_open_ai import StreamableOpenAI
@ -12,8 +12,8 @@ from models.model import Conversation, Message
class ReadOnlyConversationTokenDBBufferSharedMemory(BaseChatMemory):
conversation: Conversation
human_prefix: str = "Human"
ai_prefix: str = "AI"
llm: Union[StreamableChatOpenAI | StreamableOpenAI]
ai_prefix: str = "Assistant"
llm: BaseLanguageModel
memory_key: str = "chat_history"
max_token_limit: int = 2000
message_limit: int = 10
@ -38,12 +38,12 @@ class ReadOnlyConversationTokenDBBufferSharedMemory(BaseChatMemory):
return chat_messages
# prune the chat message if it exceeds the max token limit
curr_buffer_length = self.llm.get_messages_tokens(chat_messages)
curr_buffer_length = self.llm.get_num_tokens_from_messages(chat_messages)
if curr_buffer_length > self.max_token_limit:
pruned_memory = []
while curr_buffer_length > self.max_token_limit and chat_messages:
pruned_memory.append(chat_messages.pop(0))
curr_buffer_length = self.llm.get_messages_tokens(chat_messages)
curr_buffer_length = self.llm.get_num_tokens_from_messages(chat_messages)
return chat_messages

View File

@ -30,7 +30,7 @@ class DatasetTool(BaseTool):
else:
model_credentials = LLMBuilder.get_model_credentials(
tenant_id=self.dataset.tenant_id,
model_provider=LLMBuilder.get_default_provider(self.dataset.tenant_id),
model_provider=LLMBuilder.get_default_provider(self.dataset.tenant_id, 'text-embedding-ada-002'),
model_name='text-embedding-ada-002'
)
@ -60,7 +60,7 @@ class DatasetTool(BaseTool):
async def _arun(self, tool_input: str) -> str:
model_credentials = LLMBuilder.get_model_credentials(
tenant_id=self.dataset.tenant_id,
model_provider=LLMBuilder.get_default_provider(self.dataset.tenant_id),
model_provider=LLMBuilder.get_default_provider(self.dataset.tenant_id, 'text-embedding-ada-002'),
model_name='text-embedding-ada-002'
)

View File

@ -1,4 +1,7 @@
from flask import current_app
from events.tenant_event import tenant_was_updated
from models.provider import ProviderName
from services.provider_service import ProviderService
@ -6,4 +9,16 @@ from services.provider_service import ProviderService
def handle(sender, **kwargs):
tenant = sender
if tenant.status == 'normal':
ProviderService.create_system_provider(tenant)
ProviderService.create_system_provider(
tenant,
ProviderName.OPENAI.value,
current_app.config['OPENAI_HOSTED_QUOTA_LIMIT'],
True
)
ProviderService.create_system_provider(
tenant,
ProviderName.ANTHROPIC.value,
current_app.config['ANTHROPIC_HOSTED_QUOTA_LIMIT'],
True
)

View File

@ -1,4 +1,7 @@
from flask import current_app
from events.tenant_event import tenant_was_created
from models.provider import ProviderName
from services.provider_service import ProviderService
@ -6,4 +9,16 @@ from services.provider_service import ProviderService
def handle(sender, **kwargs):
tenant = sender
if tenant.status == 'normal':
ProviderService.create_system_provider(tenant)
ProviderService.create_system_provider(
tenant,
ProviderName.OPENAI.value,
current_app.config['OPENAI_HOSTED_QUOTA_LIMIT'],
True
)
ProviderService.create_system_provider(
tenant,
ProviderName.ANTHROPIC.value,
current_app.config['ANTHROPIC_HOSTED_QUOTA_LIMIT'],
True
)

View File

@ -0,0 +1,61 @@
from typing import Optional
import resend
from flask import Flask
class Mail:
def __init__(self):
self._client = None
self._default_send_from = None
def is_inited(self) -> bool:
return self._client is not None
def init_app(self, app: Flask):
if app.config.get('MAIL_TYPE'):
if app.config.get('MAIL_DEFAULT_SEND_FROM'):
self._default_send_from = app.config.get('MAIL_DEFAULT_SEND_FROM')
if app.config.get('MAIL_TYPE') == 'resend':
api_key = app.config.get('RESEND_API_KEY')
if not api_key:
raise ValueError('RESEND_API_KEY is not set')
resend.api_key = api_key
self._client = resend.Emails
else:
raise ValueError('Unsupported mail type {}'.format(app.config.get('MAIL_TYPE')))
def send(self, to: str, subject: str, html: str, from_: Optional[str] = None):
if not self._client:
raise ValueError('Mail client is not initialized')
if not from_ and self._default_send_from:
from_ = self._default_send_from
if not from_:
raise ValueError('mail from is not set')
if not to:
raise ValueError('mail to is not set')
if not subject:
raise ValueError('mail subject is not set')
if not html:
raise ValueError('mail html is not set')
self._client.send({
"from": from_,
"to": to,
"subject": subject,
"html": html
})
def init_app(app: Flask):
mail.init_app(app)
mail = Mail()

20
api/libs/passport.py Normal file
View File

@ -0,0 +1,20 @@
# -*- coding:utf-8 -*-
import jwt
from werkzeug.exceptions import Unauthorized
from flask import current_app
class PassportService:
def __init__(self):
self.sk = current_app.config.get('SECRET_KEY')
def issue(self, payload):
return jwt.encode(payload, self.sk, algorithm='HS256')
def verify(self, token):
try:
return jwt.decode(token, self.sk, algorithms=['HS256'])
except jwt.exceptions.InvalidSignatureError:
raise Unauthorized('Invalid token signature.')
except jwt.exceptions.DecodeError:
raise Unauthorized('Invalid token.')
except jwt.exceptions.ExpiredSignatureError:
raise Unauthorized('Token has expired.')

View File

@ -38,6 +38,10 @@ class Account(UserMixin, db.Model):
created_at = db.Column(db.DateTime, nullable=False, server_default=db.text('CURRENT_TIMESTAMP(0)'))
updated_at = db.Column(db.DateTime, nullable=False, server_default=db.text('CURRENT_TIMESTAMP(0)'))
@property
def is_password_set(self):
return self.password is not None
@property
def current_tenant(self):
return self._current_tenant

View File

@ -56,7 +56,8 @@ class App(db.Model):
@property
def api_base_url(self):
return (current_app.config['API_URL'] if current_app.config['API_URL'] else request.host_url.rstrip('/')) + '/v1'
return (current_app.config['SERVICE_API_URL'] if current_app.config['SERVICE_API_URL']
else request.host_url.rstrip('/')) + '/v1'
@property
def tenant(self):
@ -515,7 +516,7 @@ class Site(db.Model):
@property
def app_base_url(self):
return (current_app.config['APP_URL'] if current_app.config['APP_URL'] else request.host_url.rstrip('/'))
return (current_app.config['APP_WEB_URL'] if current_app.config['APP_WEB_URL'] else request.host_url.rstrip('/'))
class ApiToken(db.Model):

View File

@ -10,7 +10,7 @@ flask-session2==1.3.1
flask-cors==3.0.10
gunicorn~=20.1.0
gevent~=22.10.2
langchain==0.0.209
langchain==0.0.230
openai~=0.27.5
psycopg2-binary~=2.9.6
pycryptodome==3.17
@ -21,7 +21,7 @@ Authlib==1.2.0
boto3~=1.26.123
tenacity==8.2.2
cachetools~=5.3.0
weaviate-client~=3.16.2
weaviate-client~=3.21.0
qdrant_client~=1.1.6
mailchimp-transactional~=1.0.50
scikit-learn==1.2.2
@ -32,4 +32,7 @@ redis~=4.5.4
openpyxl==3.1.2
chardet~=5.1.0
docx2txt==0.8
pypdfium2==4.16.0
pypdfium2==4.16.0
resend~=0.5.1
pyjwt~=2.6.0
anthropic~=0.3.4

View File

@ -2,13 +2,16 @@
import base64
import logging
import secrets
import uuid
from datetime import datetime
from hashlib import sha256
from typing import Optional
from flask import session
from sqlalchemy import func
from events.tenant_event import tenant_was_created
from extensions.ext_redis import redis_client
from services.errors.account import AccountLoginError, CurrentPasswordIncorrectError, LinkAccountIntegrateError, \
TenantNotFound, AccountNotLinkTenantError, InvalidActionError, CannotOperateSelfError, MemberNotInTenantError, \
RoleAlreadyAssignedError, NoPermissionError, AccountRegisterError, AccountAlreadyInTenantError
@ -16,6 +19,7 @@ from libs.helper import get_remote_ip
from libs.password import compare_password, hash_password
from libs.rsa import generate_key_pair
from models.account import *
from tasks.mail_invite_member_task import send_invite_member_mail_task
class AccountService:
@ -48,12 +52,18 @@ class AccountService:
@staticmethod
def update_account_password(account, password, new_password):
"""update account password"""
# todo: split validation and update
if account.password and not compare_password(password, account.password, account.password_salt):
raise CurrentPasswordIncorrectError("Current password is incorrect.")
password_hashed = hash_password(new_password, account.password_salt)
# generate password salt
salt = secrets.token_bytes(16)
base64_salt = base64.b64encode(salt).decode()
# encrypt password with salt
password_hashed = hash_password(new_password, salt)
base64_password_hashed = base64.b64encode(password_hashed).decode()
account.password = base64_password_hashed
account.password_salt = base64_salt
db.session.commit()
return account
@ -283,8 +293,6 @@ class TenantService:
@staticmethod
def remove_member_from_tenant(tenant: Tenant, account: Account, operator: Account) -> None:
"""Remove member from tenant"""
# todo: check permission
if operator.id == account.id and TenantService.check_member_permission(tenant, operator, account, 'remove'):
raise CannotOperateSelfError("Cannot operate self.")
@ -293,6 +301,12 @@ class TenantService:
raise MemberNotInTenantError("Member not in tenant.")
db.session.delete(ta)
account.initialized_at = None
account.status = AccountStatus.PENDING.value
account.password = None
account.password_salt = None
db.session.commit()
@staticmethod
@ -332,8 +346,8 @@ class TenantService:
class RegisterService:
@staticmethod
def register(email, name, password: str = None, open_id: str = None, provider: str = None) -> Account:
@classmethod
def register(cls, email, name, password: str = None, open_id: str = None, provider: str = None) -> Account:
db.session.begin_nested()
"""Register account"""
try:
@ -359,9 +373,9 @@ class RegisterService:
return account
@staticmethod
def invite_new_member(tenant: Tenant, email: str, role: str = 'normal',
inviter: Account = None) -> TenantAccountJoin:
@classmethod
def invite_new_member(cls, tenant: Tenant, email: str, role: str = 'normal',
inviter: Account = None) -> str:
"""Invite new member"""
account = Account.query.filter_by(email=email).first()
@ -380,5 +394,71 @@ class RegisterService:
if ta:
raise AccountAlreadyInTenantError("Account already in tenant.")
ta = TenantService.create_tenant_member(tenant, account, role)
return ta
TenantService.create_tenant_member(tenant, account, role)
token = cls.generate_invite_token(tenant, account)
# send email
send_invite_member_mail_task.delay(
to=email,
token=cls.generate_invite_token(tenant, account),
inviter_name=inviter.name if inviter else 'Dify',
workspace_id=tenant.id,
workspace_name=tenant.name,
)
return token
@classmethod
def generate_invite_token(cls, tenant: Tenant, account: Account) -> str:
token = str(uuid.uuid4())
email_hash = sha256(account.email.encode()).hexdigest()
cache_key = 'member_invite_token:{}, {}:{}'.format(str(tenant.id), email_hash, token)
redis_client.setex(cache_key, 3600, str(account.id))
return token
@classmethod
def revoke_token(cls, workspace_id: str, email: str, token: str):
email_hash = sha256(email.encode()).hexdigest()
cache_key = 'member_invite_token:{}, {}:{}'.format(workspace_id, email_hash, token)
redis_client.delete(cache_key)
@classmethod
def get_account_if_token_valid(cls, workspace_id: str, email: str, token: str) -> Optional[Account]:
tenant = db.session.query(Tenant).filter(
Tenant.id == workspace_id,
Tenant.status == 'normal'
).first()
if not tenant:
return None
tenant_account = db.session.query(Account, TenantAccountJoin.role).join(
TenantAccountJoin, Account.id == TenantAccountJoin.account_id
).filter(Account.email == email, TenantAccountJoin.tenant_id == tenant.id).first()
if not tenant_account:
return None
account_id = cls._get_account_id_by_invite_token(workspace_id, email, token)
if not account_id:
return None
account = tenant_account[0]
if not account:
return None
if account_id != str(account.id):
return None
return account
@classmethod
def _get_account_id_by_invite_token(cls, workspace_id: str, email: str, token: str) -> Optional[str]:
email_hash = sha256(email.encode()).hexdigest()
cache_key = 'member_invite_token:{}, {}:{}'.format(workspace_id, email_hash, token)
account_id = redis_client.get(cache_key)
if not account_id:
return None
return account_id.decode('utf-8')

View File

@ -6,6 +6,30 @@ from models.account import Account
from services.dataset_service import DatasetService
from core.llm.llm_builder import LLMBuilder
MODEL_PROVIDERS = [
'openai',
'anthropic',
]
MODELS_BY_APP_MODE = {
'chat': [
'claude-instant-1',
'claude-2',
'gpt-4',
'gpt-4-32k',
'gpt-3.5-turbo',
'gpt-3.5-turbo-16k',
],
'completion': [
'claude-instant-1',
'claude-2',
'gpt-4',
'gpt-4-32k',
'gpt-3.5-turbo',
'gpt-3.5-turbo-16k',
'text-davinci-003',
]
}
class AppModelConfigService:
@staticmethod
@ -125,7 +149,7 @@ class AppModelConfigService:
if not isinstance(config["speech_to_text"]["enabled"], bool):
raise ValueError("enabled in speech_to_text must be of boolean type")
provider_name = LLMBuilder.get_default_provider(account.current_tenant_id)
provider_name = LLMBuilder.get_default_provider(account.current_tenant_id, 'whisper-1')
if config["speech_to_text"]["enabled"] and provider_name != 'openai':
raise ValueError("provider not support speech to text")
@ -153,14 +177,14 @@ class AppModelConfigService:
raise ValueError("model must be of object type")
# model.provider
if 'provider' not in config["model"] or config["model"]["provider"] != "openai":
raise ValueError("model.provider must be 'openai'")
if 'provider' not in config["model"] or config["model"]["provider"] not in MODEL_PROVIDERS:
raise ValueError(f"model.provider is required and must be in {str(MODEL_PROVIDERS)}")
# model.name
if 'name' not in config["model"]:
raise ValueError("model.name is required")
if config["model"]["name"] not in llm_constant.models_by_mode[mode]:
if config["model"]["name"] not in MODELS_BY_APP_MODE[mode]:
raise ValueError("model.name must be in the specified model list")
# model.completion_params

View File

@ -6,7 +6,8 @@ from services.errors.audio import NoAudioUploadedServiceError, AudioTooLargeServ
from core.llm.whisper import Whisper
from models.provider import ProviderName
FILE_SIZE_LIMIT = 1 * 1024 * 1024
FILE_SIZE = 15
FILE_SIZE_LIMIT = FILE_SIZE * 1024 * 1024
ALLOWED_EXTENSIONS = ['mp3', 'mp4', 'mpeg', 'mpga', 'm4a', 'wav', 'webm']
class AudioService:
@ -23,21 +24,16 @@ class AudioService:
file_size = len(file_content)
if file_size > FILE_SIZE_LIMIT:
message = f"({file_size} > {FILE_SIZE_LIMIT})"
message = f"Audio size larger than {FILE_SIZE} mb"
raise AudioTooLargeServiceError(message)
provider_name = LLMBuilder.get_default_provider(tenant_id)
provider_name = LLMBuilder.get_default_provider(tenant_id, 'whisper-1')
if provider_name != ProviderName.OPENAI.value:
raise ProviderNotSupportSpeechToTextServiceError('haha')
raise ProviderNotSupportSpeechToTextServiceError()
provider_service = LLMProviderService(tenant_id, provider_name)
buffer = io.BytesIO(file_content)
buffer.name = 'temp.wav'
buffer.name = 'temp.mp3'
return Whisper(provider_service.provider).transcribe(buffer)

View File

@ -4,6 +4,9 @@ import datetime
import time
import random
from typing import Optional, List
from flask import current_app
from extensions.ext_redis import redis_client
from flask_login import current_user
@ -374,6 +377,12 @@ class DocumentService:
def save_document_with_dataset_id(dataset: Dataset, document_data: dict,
account: Account, dataset_process_rule: Optional[DatasetProcessRule] = None,
created_from: str = 'web'):
# check document limit
if current_app.config['EDITION'] == 'CLOUD':
documents_count = DocumentService.get_tenant_documents_count()
tenant_document_count = int(current_app.config['TENANT_DOCUMENT_COUNT'])
if documents_count > tenant_document_count:
raise ValueError(f"over document limit {tenant_document_count}.")
# if dataset is empty, update dataset data_source_type
if not dataset.data_source_type:
dataset.data_source_type = document_data["data_source"]["type"]
@ -521,6 +530,14 @@ class DocumentService:
)
return document
@staticmethod
def get_tenant_documents_count():
documents_count = Document.query.filter(Document.completed_at.isnot(None),
Document.enabled == True,
Document.archived == False,
Document.tenant_id == current_user.current_tenant_id).count()
return documents_count
@staticmethod
def update_document_with_dataset_id(dataset: Dataset, document_data: dict,
account: Account, dataset_process_rule: Optional[DatasetProcessRule] = None,
@ -616,6 +633,12 @@ class DocumentService:
@staticmethod
def save_document_without_dataset_id(tenant_id: str, document_data: dict, account: Account):
# check document limit
if current_app.config['EDITION'] == 'CLOUD':
documents_count = DocumentService.get_tenant_documents_count()
tenant_document_count = int(current_app.config['TENANT_DOCUMENT_COUNT'])
if documents_count > tenant_document_count:
raise ValueError(f"over document limit {tenant_document_count}.")
# save dataset
dataset = Dataset(
tenant_id=tenant_id,

View File

@ -1,23 +1,13 @@
from services.errors.base import BaseServiceError
class NoAudioUploadedServiceError(BaseServiceError):
error_code = 'no_audio_uploaded'
description = "Please upload your audio."
code = 400
class NoAudioUploadedServiceError(Exception):
pass
class AudioTooLargeServiceError(BaseServiceError):
error_code = 'audio_too_large'
description = "Audio size exceeded. {message}"
code = 413
class AudioTooLargeServiceError(Exception):
pass
class UnsupportedAudioTypeServiceError(BaseServiceError):
error_code = 'unsupported_audio_type'
description = "Audio type not allowed."
code = 415
class UnsupportedAudioTypeServiceError(Exception):
pass
class ProviderNotSupportSpeechToTextServiceError(BaseServiceError):
error_code = 'provider_not_support_speech_to_text'
description = "Provider not support speech to text. {message}"
code = 400
class ProviderNotSupportSpeechToTextServiceError(Exception):
pass

View File

@ -31,7 +31,7 @@ class HitTestingService:
model_credentials = LLMBuilder.get_model_credentials(
tenant_id=dataset.tenant_id,
model_provider=LLMBuilder.get_default_provider(dataset.tenant_id),
model_provider=LLMBuilder.get_default_provider(dataset.tenant_id, 'text-embedding-ada-002'),
model_name='text-embedding-ada-002'
)

View File

@ -10,50 +10,40 @@ from models.provider import *
class ProviderService:
@staticmethod
def init_supported_provider(tenant, edition):
def init_supported_provider(tenant):
"""Initialize the model provider, check whether the supported provider has a record"""
providers = Provider.query.filter_by(tenant_id=tenant.id).all()
need_init_provider_names = [ProviderName.OPENAI.value, ProviderName.AZURE_OPENAI.value, ProviderName.ANTHROPIC.value]
openai_provider_exists = False
azure_openai_provider_exists = False
# TODO: The cloud version needs to construct the data of the SYSTEM type
providers = db.session.query(Provider).filter(
Provider.tenant_id == tenant.id,
Provider.provider_type == ProviderType.CUSTOM.value,
Provider.provider_name.in_(need_init_provider_names)
).all()
exists_provider_names = []
for provider in providers:
if provider.provider_name == ProviderName.OPENAI.value and provider.provider_type == ProviderType.CUSTOM.value:
openai_provider_exists = True
if provider.provider_name == ProviderName.AZURE_OPENAI.value and provider.provider_type == ProviderType.CUSTOM.value:
azure_openai_provider_exists = True
exists_provider_names.append(provider.provider_name)
# Initialize the model provider, check whether the supported provider has a record
not_exists_provider_names = list(set(need_init_provider_names) - set(exists_provider_names))
# Create default providers if they don't exist
if not openai_provider_exists:
openai_provider = Provider(
tenant_id=tenant.id,
provider_name=ProviderName.OPENAI.value,
provider_type=ProviderType.CUSTOM.value,
is_valid=False
)
db.session.add(openai_provider)
if not_exists_provider_names:
# Initialize the model provider, check whether the supported provider has a record
for provider_name in not_exists_provider_names:
provider = Provider(
tenant_id=tenant.id,
provider_name=provider_name,
provider_type=ProviderType.CUSTOM.value,
is_valid=False
)
db.session.add(provider)
if not azure_openai_provider_exists:
azure_openai_provider = Provider(
tenant_id=tenant.id,
provider_name=ProviderName.AZURE_OPENAI.value,
provider_type=ProviderType.CUSTOM.value,
is_valid=False
)
db.session.add(azure_openai_provider)
if not openai_provider_exists or not azure_openai_provider_exists:
db.session.commit()
@staticmethod
def get_obfuscated_api_key(tenant, provider_name: ProviderName):
def get_obfuscated_api_key(tenant, provider_name: ProviderName, only_custom: bool = False):
llm_provider_service = LLMProviderService(tenant.id, provider_name.value)
return llm_provider_service.get_provider_configs(obfuscated=True)
return llm_provider_service.get_provider_configs(obfuscated=True, only_custom=only_custom)
@staticmethod
def get_token_type(tenant, provider_name: ProviderName):
@ -73,7 +63,7 @@ class ProviderService:
return llm_provider_service.get_encrypted_token(configs)
@staticmethod
def create_system_provider(tenant: Tenant, provider_name: str = ProviderName.OPENAI.value,
def create_system_provider(tenant: Tenant, provider_name: str = ProviderName.OPENAI.value, quota_limit: int = 200,
is_valid: bool = True):
if current_app.config['EDITION'] != 'CLOUD':
return
@ -90,7 +80,7 @@ class ProviderService:
provider_name=provider_name,
provider_type=ProviderType.SYSTEM.value,
quota_type=ProviderQuotaType.TRIAL.value,
quota_limit=200,
quota_limit=quota_limit,
encrypted_config='',
is_valid=is_valid,
)

View File

@ -1,6 +1,6 @@
from extensions.ext_database import db
from models.account import Tenant
from models.provider import Provider, ProviderType
from models.provider import Provider, ProviderType, ProviderName
class WorkspaceService:
@ -33,7 +33,7 @@ class WorkspaceService:
if provider.is_valid and provider.encrypted_config:
custom_provider = provider
elif provider.provider_type == ProviderType.SYSTEM.value:
if provider.is_valid:
if provider.provider_name == ProviderName.OPENAI.value and provider.is_valid:
system_provider = provider
if system_provider and not custom_provider:

View File

@ -44,14 +44,13 @@ def deal_dataset_vector_index_task(dataset_id: str, action: str):
if dataset_documents:
# save vector index
index = IndexBuilder.get_index(dataset, 'high_quality', ignore_high_quality_check=True)
documents = []
for dataset_document in dataset_documents:
# delete from vector index
segments = db.session.query(DocumentSegment).filter(
DocumentSegment.document_id == dataset_document.id,
DocumentSegment.enabled == True
) .order_by(DocumentSegment.position.asc()).all()
documents = []
for segment in segments:
document = Document(
page_content=segment.content,
@ -65,8 +64,8 @@ def deal_dataset_vector_index_task(dataset_id: str, action: str):
documents.append(document)
# save vector index
index.add_texts(documents)
# save vector index
index.add_texts(documents)
end_at = time.perf_counter()
logging.info(

View File

@ -0,0 +1,52 @@
import logging
import time
import click
from celery import shared_task
from flask import current_app
from extensions.ext_mail import mail
@shared_task
def send_invite_member_mail_task(to: str, token: str, inviter_name: str, workspace_id: str, workspace_name: str):
"""
Async Send invite member mail
:param to
:param token
:param inviter_name
:param workspace_id
:param workspace_name
Usage: send_invite_member_mail_task.delay(to, token, inviter_name, workspace_id, workspace_name)
"""
if not mail.is_inited():
return
logging.info(click.style('Start send invite member mail to {} in workspace {}'.format(to, workspace_name),
fg='green'))
start_at = time.perf_counter()
try:
mail.send(
to=to,
subject="{} invited you to join {}".format(inviter_name, workspace_name),
html="""<p>Hi there,</p>
<p>{inviter_name} invited you to join {workspace_name}.</p>
<p>Click <a href="{url}">here</a> to join.</p>
<p>Thanks,</p>
<p>Dify Team</p>""".format(inviter_name=inviter_name, workspace_name=workspace_name,
url='{}/activate?workspace_id={}&email={}&token={}'.format(
current_app.config.get("CONSOLE_WEB_URL"),
workspace_id,
to,
token)
)
)
end_at = time.perf_counter()
logging.info(
click.style('Send invite member mail to {} succeeded: latency: {}'.format(to, end_at - start_at),
fg='green'))
except Exception:
logging.exception("Send invite member mail to {} failed".format(to))

View File

@ -2,7 +2,7 @@ version: '3.1'
services:
# API service
api:
image: langgenius/dify-api:0.3.7
image: langgenius/dify-api:0.3.10
restart: always
environment:
# Startup mode, 'api' starts the API server.
@ -11,18 +11,26 @@ services:
LOG_LEVEL: INFO
# A secret key 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
# The base URL of console application, refers to the Console base URL of WEB service if console domain is
# The base URL of console application web frontend, refers to the Console base URL of WEB service if console domain is
# different from api or web app domain.
# example: http://cloud.dify.ai
CONSOLE_URL: ''
CONSOLE_WEB_URL: ''
# The base URL of console application api server, refers to the Console base URL of WEB service if console domain is
# different from api or web app domain.
# example: http://cloud.dify.ai
CONSOLE_API_URL: ''
# The URL for Service API endpointsrefers to the base URL of the current API service if api domain is
# different from console domain.
# example: http://api.dify.ai
API_URL: ''
# The URL for Web APP, refers to the Web App base URL of WEB service if web app domain is different from
SERVICE_API_URL: ''
# The URL for Web APP api server, refers to the Web App base URL of WEB service if web app domain is different from
# console or api domain.
# example: http://udify.app
APP_URL: ''
APP_API_URL: ''
# The URL for Web APP frontend, refers to the Web App base URL of WEB service if web app domain is different from
# console or api domain.
# example: http://udify.app
APP_WEB_URL: ''
# When enabled, migrations will be executed prior to application startup and the application will start after the migrations have completed.
MIGRATION_ENABLED: 'true'
# The configurations of postgres database connection.
@ -93,6 +101,12 @@ services:
QDRANT_URL: 'https://your-qdrant-cluster-url.qdrant.tech/'
# The Qdrant API key.
QDRANT_API_KEY: 'ak-difyai'
# Mail configuration, support: resend
MAIL_TYPE: ''
# default send from email address, if not specified
MAIL_DEFAULT_SEND_FROM: 'YOUR EMAIL FROM (eg: no-reply <no-reply@dify.ai>)'
# the api-key for resend (https://resend.com)
RESEND_API_KEY: ''
# The DSN for Sentry error reporting. If not set, Sentry error reporting will be disabled.
SENTRY_DSN: ''
# The sample rate for Sentry events. Default: `1.0`
@ -110,7 +124,7 @@ services:
# worker service
# The Celery worker for processing the queue.
worker:
image: langgenius/dify-api:0.3.7
image: langgenius/dify-api:0.3.10
restart: always
environment:
# Startup mode, 'worker' starts the Celery worker for processing the queue.
@ -146,6 +160,12 @@ services:
VECTOR_STORE: weaviate
WEAVIATE_ENDPOINT: http://weaviate:8080
WEAVIATE_API_KEY: WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih
# Mail configuration, support: resend
MAIL_TYPE: ''
# default send from email address, if not specified
MAIL_DEFAULT_SEND_FROM: 'YOUR EMAIL FROM (eg: no-reply <no-reply@dify.ai>)'
# the api-key for resend (https://resend.com)
RESEND_API_KEY: ''
depends_on:
- db
- redis
@ -156,18 +176,18 @@ services:
# Frontend web application.
web:
image: langgenius/dify-web:0.3.7
image: langgenius/dify-web:0.3.10
restart: always
environment:
EDITION: SELF_HOSTED
# The base URL of console application, refers to the Console base URL of WEB service if console domain is
# The base URL of console application api server, refers to the Console base URL of WEB service if console domain is
# different from api or web app domain.
# example: http://cloud.dify.ai
CONSOLE_URL: ''
# The URL for Web APP, refers to the Web App base URL of WEB service if web app domain is different from
CONSOLE_API_URL: ''
# The URL for Web APP api server, refers to the Web App base URL of WEB service if web app domain is different from
# console or api domain.
# example: http://udify.app
APP_URL: ''
APP_API_URL: ''
# The DSN for Sentry error reporting. If not set, Sentry error reporting will be disabled.
SENTRY_DSN: ''

View File

@ -20,16 +20,20 @@ export const routes = {
},
getConversationMessages: {
method: "GET",
url: () => "/messages",
url: () => `/messages`,
},
getConversations: {
method: "GET",
url: () => "/conversations",
url: () => `/conversations`,
},
renameConversation: {
method: "PATCH",
url: (conversation_id) => `/conversations/${conversation_id}`,
},
deleteConversation: {
method: "DELETE",
url: (conversation_id) => `/conversations/${conversation_id}`,
},
};
export class DifyClient {
@ -185,4 +189,13 @@ export class ChatClient extends DifyClient {
data
);
}
deleteConversation(conversation_id, user) {
const data = { user };
return this.sendRequest(
routes.deleteConversation.method,
routes.deleteConversation.url(conversation_id),
data
);
}
}

View File

@ -0,0 +1,18 @@
name: Ruby
on: [push,pull_request]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Set up Ruby
uses: ruby/setup-ruby@v1
with:
ruby-version: 3.0.0
- name: Run the default task
run: |
gem install bundler -v 2.2.3
bundle install
bundle exec rake

8
sdks/ruby-client/.gitignore vendored Normal file
View File

@ -0,0 +1,8 @@
/.bundle/
/.yardoc
/_yardoc/
/coverage/
/doc/
/pkg/
/spec/reports/
/tmp/

View File

@ -0,0 +1,10 @@
Style/StringLiterals:
Enabled: true
EnforcedStyle: double_quotes
Style/StringLiteralsInInterpolation:
Enabled: true
EnforcedStyle: double_quotes
Layout/LineLength:
Max: 120

View File

@ -0,0 +1,84 @@
# Contributor Covenant Code of Conduct
## Our Pledge
We as members, contributors, and leaders pledge to make participation in our community a harassment-free experience for everyone, regardless of age, body size, visible or invisible disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation.
We pledge to act and interact in ways that contribute to an open, welcoming, diverse, inclusive, and healthy community.
## Our Standards
Examples of behavior that contributes to a positive environment for our community include:
* Demonstrating empathy and kindness toward other people
* Being respectful of differing opinions, viewpoints, and experiences
* Giving and gracefully accepting constructive feedback
* Accepting responsibility and apologizing to those affected by our mistakes, and learning from the experience
* Focusing on what is best not just for us as individuals, but for the overall community
Examples of unacceptable behavior include:
* The use of sexualized language or imagery, and sexual attention or
advances of any kind
* Trolling, insulting or derogatory comments, and personal or political attacks
* Public or private harassment
* Publishing others' private information, such as a physical or email
address, without their explicit permission
* Other conduct which could reasonably be considered inappropriate in a
professional setting
## Enforcement Responsibilities
Community leaders are responsible for clarifying and enforcing our standards of acceptable behavior and will take appropriate and fair corrective action in response to any behavior that they deem inappropriate, threatening, offensive, or harmful.
Community leaders have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, and will communicate reasons for moderation decisions when appropriate.
## Scope
This Code of Conduct applies within all community spaces, and also applies when an individual is officially representing the community in public spaces. Examples of representing our community include using an official e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event.
## Enforcement
Instances of abusive, harassing, or otherwise unacceptable behavior may be reported to the community leaders responsible for enforcement at 427733928@qq.com. All complaints will be reviewed and investigated promptly and fairly.
All community leaders are obligated to respect the privacy and security of the reporter of any incident.
## Enforcement Guidelines
Community leaders will follow these Community Impact Guidelines in determining the consequences for any action they deem in violation of this Code of Conduct:
### 1. Correction
**Community Impact**: Use of inappropriate language or other behavior deemed unprofessional or unwelcome in the community.
**Consequence**: A private, written warning from community leaders, providing clarity around the nature of the violation and an explanation of why the behavior was inappropriate. A public apology may be requested.
### 2. Warning
**Community Impact**: A violation through a single incident or series of actions.
**Consequence**: A warning with consequences for continued behavior. No interaction with the people involved, including unsolicited interaction with those enforcing the Code of Conduct, for a specified period of time. This includes avoiding interactions in community spaces as well as external channels like social media. Violating these terms may lead to a temporary or permanent ban.
### 3. Temporary Ban
**Community Impact**: A serious violation of community standards, including sustained inappropriate behavior.
**Consequence**: A temporary ban from any sort of interaction or public communication with the community for a specified period of time. No public or private interaction with the people involved, including unsolicited interaction with those enforcing the Code of Conduct, is allowed during this period. Violating these terms may lead to a permanent ban.
### 4. Permanent Ban
**Community Impact**: Demonstrating a pattern of violation of community standards, including sustained inappropriate behavior, harassment of an individual, or aggression toward or disparagement of classes of individuals.
**Consequence**: A permanent ban from any sort of public interaction within the community.
## Attribution
This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 2.0,
available at https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
Community Impact Guidelines were inspired by [Mozilla's code of conduct enforcement ladder](https://github.com/mozilla/diversity).
[homepage]: https://www.contributor-covenant.org
For answers to common questions about this code of conduct, see the FAQ at
https://www.contributor-covenant.org/faq. Translations are available at https://www.contributor-covenant.org/translations.

14
sdks/ruby-client/Gemfile Normal file
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@ -0,0 +1,14 @@
# frozen_string_literal: true
source "https://rubygems.org"
# Specify your gem's dependencies in dify_client.gemspec
gemspec
gem "rake", "~> 13.0"
gem "minitest", "~> 5.0"
gem "rubocop", "~> 0.80"
gem 'webmock'

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@ -0,0 +1,55 @@
PATH
remote: .
specs:
dify_client (0.1.0)
GEM
remote: https://rubygems.org/
specs:
addressable (2.8.4)
public_suffix (>= 2.0.2, < 6.0)
ast (2.4.2)
crack (0.4.5)
rexml
hashdiff (1.0.1)
minitest (5.18.1)
parallel (1.23.0)
parser (3.2.2.3)
ast (~> 2.4.1)
racc
public_suffix (5.0.3)
racc (1.7.1)
rainbow (3.1.1)
rake (13.0.6)
regexp_parser (2.8.1)
rexml (3.2.5)
rubocop (0.93.1)
parallel (~> 1.10)
parser (>= 2.7.1.5)
rainbow (>= 2.2.2, < 4.0)
regexp_parser (>= 1.8)
rexml
rubocop-ast (>= 0.6.0)
ruby-progressbar (~> 1.7)
unicode-display_width (>= 1.4.0, < 2.0)
rubocop-ast (1.29.0)
parser (>= 3.2.1.0)
ruby-progressbar (1.13.0)
unicode-display_width (1.8.0)
webmock (3.18.1)
addressable (>= 2.8.0)
crack (>= 0.3.2)
hashdiff (>= 0.4.0, < 2.0.0)
PLATFORMS
arm64-darwin-21
DEPENDENCIES
dify_client!
minitest (~> 5.0)
rake (~> 13.0)
rubocop (~> 0.80)
webmock
BUNDLED WITH
2.2.3

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@ -0,0 +1,21 @@
The MIT License (MIT)
Copyright (c) 2023 crazywoola
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.

111
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@ -0,0 +1,111 @@
# DifyClient
Welcome to the DifyClient gem! This gem provides a Ruby client for interacting with the Dify.ai API. It allows you to perform various actions such as sending requests, providing feedback, creating completion messages, managing conversations, and more.
## Installation
Add this line to your application's Gemfile:
```ruby
gem 'dify_client'
```
And then execute:
$ bundle install
Or install it yourself as:
$ gem install dify_client
## Usage
To use the DifyClient gem, follow these steps:
1 Require the gem:
```ruby
require 'dify_client'
```
2 Create a new client instance:
```ruby
api_key = 'YOUR_API_KEY'
client = DifyClient::Client.new(api_key)
```
3 Use the available methods to interact with the Dify.ai API. Here are the methods provided by the DifyClient::Client class:
### Update API Key
```ruby
client.update_api_key('NEW_API_KEY')
```
Updates the API key used by the client.
### Message Feedback
```ruby
client.message_feedback(message_id, rating, user)
```
Submits feedback for a specific message identified by `message_id`. The `rating` parameter should be the rating value, and `user` is the user identifier.
### Get Application Parameters
```ruby
client.get_application_parameters(user)
```
### Create Completion Message
```ruby
client.create_completion_message(inputs, query, user, stream = false)
```
Creates a completion message with the provided `inputs`, `query`, and `user`. The stream parameter is optional and set to `false` by default. Set it to `true` to enable streaming response mode.
### Create Chat Message
```ruby
client.create_chat_message(inputs, query, user, stream = false, conversation_id = nil)
```
Creates a chat message with the provided `inputs`, `query`, and `user`. The stream parameter is optional and set to `false` by default. Set it to `true` to enable streaming response mode. The `conversation_id` parameter is optional and can be used to specify the conversation ID.
### Get Conversations
```ruby
client.get_conversations(user, first_id = nil, limit = nil, pinned = nil)
```
Retrieves the conversations for a given `user`. You can provide `first_id`, `limit`, and `pinned` parameters to customize the retrieval.
### Rename Conversation
```ruby
client.rename_conversation(conversation_id, name, user)
```
Renames a conversation identified by conversatio`n_id with the provided `name` for the given `user`.
### Delete Conversation
```ruby
client.delete_conversation(conversation_id, user)
```
Deletes a conversation identified by `conversation_id` for the given `user`.
## Development
After checking out the repo, run `bin/setup` to install dependencies. Then, run `rake test` to run the tests. You can also run `bin/console` for an interactive prompt that will allow you to experiment.
To install this gem onto your local machine, run `bundle exec rake install`. To release a new version, update the version number in `version.rb`, and then run` bundle exec rake release`, which will create a git tag for the version, push git commits and the created tag, and push the .gem file to rubygems.org.
## Contributing
Bug reports and pull requests are welcome on GitHub at [https://github.com/langgenius/dify/issues](https://github.com/langgenius/dify/issues).
## License
The gem is available as open source under the terms of the [MIT License](https://opensource.org/licenses/MIT).

16
sdks/ruby-client/Rakefile Normal file
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@ -0,0 +1,16 @@
# frozen_string_literal: true
require "bundler/gem_tasks"
require "rake/testtask"
Rake::TestTask.new(:test) do |t|
t.libs << "test"
t.libs << "lib"
t.test_files = FileList["test/**/*_test.rb"]
end
require "rubocop/rake_task"
RuboCop::RakeTask.new
task default: %i[test rubocop]

15
sdks/ruby-client/bin/console Executable file
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@ -0,0 +1,15 @@
#!/usr/bin/env ruby
# frozen_string_literal: true
require "bundler/setup"
require "dify_client"
# You can add fixtures and/or initialization code here to make experimenting
# with your gem easier. You can also use a different console, if you like.
# (If you use this, don't forget to add pry to your Gemfile!)
# require "pry"
# Pry.start
require "irb"
IRB.start(__FILE__)

8
sdks/ruby-client/bin/setup Executable file
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@ -0,0 +1,8 @@
#!/usr/bin/env bash
set -euo pipefail
IFS=$'\n\t'
set -vx
bundle install
# Do any other automated setup that you need to do here

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@ -0,0 +1,37 @@
# frozen_string_literal: true
require_relative "lib/dify_client/version"
Gem::Specification.new do |spec|
spec.name = "dify_client"
spec.version = DifyClient::VERSION
spec.authors = ["crazywoola"]
spec.email = ["427733928@qq.com"]
spec.summary = "Ruby client for Dify"
spec.description = "Ruby client for Dify"
spec.homepage = "https://dify.ai"
spec.license = "MIT"
spec.required_ruby_version = Gem::Requirement.new(">= 2.3.0")
# spec.metadata["allowed_push_host"] = "TODO: Set to 'http://mygemserver.com'"
spec.metadata["homepage_uri"] = spec.homepage
spec.metadata["source_code_uri"] = "https://github.com/langgenius/dify/tree/main/sdks"
spec.metadata["changelog_uri"] = "https://github.com/langgenius/dify/tree/main/sdks"
# Specify which files should be added to the gem when it is released.
# The `git ls-files -z` loads the files in the RubyGem that have been added into git.
spec.files = Dir.chdir(File.expand_path(__dir__)) do
`git ls-files -z`.split("\x0").reject { |f| f.match(%r{\A(?:test|spec|features)/}) }
end
spec.bindir = "exe"
spec.executables = spec.files.grep(%r{\Aexe/}) { |f| File.basename(f) }
spec.require_paths = ["lib"]
# Uncomment to register a new dependency of your gem
# spec.add_dependency "example-gem", "~> 1.0"
# For more information and examples about making a new gem, checkout our
# guide at: https://bundler.io/guides/creating_gem.html
end

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@ -0,0 +1,42 @@
require 'test_helper'
require 'webmock/minitest'
require 'json'
require 'dify_client'
class DifyClientTest < Minitest::Test
def setup
@api_key = 'YOUR_API_KEY'
@client = DifyClient::Client.new(@api_key)
end
def test_update_api_key
new_api_key = 'NEW_API_KEY'
@client.update_api_key(new_api_key)
assert_equal new_api_key, @client.instance_variable_get(:@api_key)
end
def test_get_application_parameters
user = 'USER_ID'
expected_response = {}
stub_request(:get, "https://api.dify.ai/v1/parameters").
with(
body: {"user"=>"USER_ID"},
headers: {
'Accept'=>'*/*',
'Accept-Encoding'=>'gzip;q=1.0,deflate;q=0.6,identity;q=0.3',
'Authorization'=>'Bearer YOUR_API_KEY',
'Content-Type'=>'application/x-www-form-urlencoded',
'Responsetype'=>'json',
'User-Agent'=>'Ruby'
}).
to_return(status: 200, body: expected_response.to_json, headers: {})
response = @client.get_application_parameters(user)
assert_equal expected_response, response
end
end

View File

@ -0,0 +1,6 @@
# frozen_string_literal: true
$LOAD_PATH.unshift File.expand_path("../lib", __dir__)
require "dify_client"
require "minitest/autorun"

View File

@ -4,8 +4,8 @@ LABEL maintainer="takatost@gmail.com"
ENV EDITION SELF_HOSTED
ENV DEPLOY_ENV PRODUCTION
ENV CONSOLE_URL http://127.0.0.1:5001
ENV APP_URL http://127.0.0.1:5001
ENV CONSOLE_API_URL http://127.0.0.1:5001
ENV APP_API_URL http://127.0.0.1:5001
EXPOSE 3000
@ -26,4 +26,4 @@ RUN chmod +x /entrypoint.sh
ARG COMMIT_SHA
ENV COMMIT_SHA ${COMMIT_SHA}
ENTRYPOINT ["/entrypoint.sh"]
ENTRYPOINT ["/bin/bash", "/entrypoint.sh"]

View File

@ -3,6 +3,7 @@ import type { ReactNode } from 'react'
import SwrInitor from '@/app/components/swr-initor'
import { AppContextProvider } from '@/context/app-context'
import GA, { GaType } from '@/app/components/base/ga'
import HeaderWrapper from '@/app/components/header/HeaderWrapper'
import Header from '@/app/components/header'
const Layout = ({ children }: { children: ReactNode }) => {
@ -11,7 +12,9 @@ const Layout = ({ children }: { children: ReactNode }) => {
<GA gaType={GaType.admin} />
<SwrInitor>
<AppContextProvider>
<Header />
<HeaderWrapper>
<Header />
</HeaderWrapper>
{children}
</AppContextProvider>
</SwrInitor>

View File

@ -0,0 +1,13 @@
import type { FC } from 'react'
import React from 'react'
import type { IMainProps } from '@/app/components/share/chat'
import Main from '@/app/components/share/chatbot'
const Chatbot: FC<IMainProps> = () => {
return (
<Main />
)
}
export default React.memo(Chatbot)

View File

@ -0,0 +1,233 @@
'use client'
import { useState } from 'react'
import { useTranslation } from 'react-i18next'
import useSWR from 'swr'
import { useSearchParams } from 'next/navigation'
import cn from 'classnames'
import Link from 'next/link'
import { CheckCircleIcon } from '@heroicons/react/24/solid'
import style from './style.module.css'
import Button from '@/app/components/base/button'
import { SimpleSelect } from '@/app/components/base/select'
import { timezones } from '@/utils/timezone'
import { languageMaps, languages } from '@/utils/language'
import { activateMember, invitationCheck } from '@/service/common'
import Toast from '@/app/components/base/toast'
import Loading from '@/app/components/base/loading'
const validPassword = /^(?=.*[a-zA-Z])(?=.*\d).{8,}$/
const ActivateForm = () => {
const { t } = useTranslation()
const searchParams = useSearchParams()
const workspaceID = searchParams.get('workspace_id')
const email = searchParams.get('email')
const token = searchParams.get('token')
const checkParams = {
url: '/activate/check',
params: {
workspace_id: workspaceID,
email,
token,
},
}
const { data: checkRes, mutate: recheck } = useSWR(checkParams, invitationCheck, {
revalidateOnFocus: false,
})
const [name, setName] = useState('')
const [password, setPassword] = useState('')
const [timezone, setTimezone] = useState('Asia/Shanghai')
const [language, setLanguage] = useState('en-US')
const [showSuccess, setShowSuccess] = useState(false)
const showErrorMessage = (message: string) => {
Toast.notify({
type: 'error',
message,
})
}
const valid = () => {
if (!name.trim()) {
showErrorMessage(t('login.error.nameEmpty'))
return false
}
if (!password.trim()) {
showErrorMessage(t('login.error.passwordEmpty'))
return false
}
if (!validPassword.test(password))
showErrorMessage(t('login.error.passwordInvalid'))
return true
}
const handleActivate = async () => {
if (!valid())
return
try {
await activateMember({
url: '/activate',
body: {
workspace_id: workspaceID,
email,
token,
name,
password,
interface_language: language,
timezone,
},
})
setShowSuccess(true)
}
catch {
recheck()
}
}
return (
<div className={
cn(
'flex flex-col items-center w-full grow items-center justify-center',
'px-6',
'md:px-[108px]',
)
}>
{!checkRes && <Loading/>}
{checkRes && !checkRes.is_valid && (
<div className="flex flex-col md:w-[400px]">
<div className="w-full mx-auto">
<div className="mb-3 flex justify-center items-center w-20 h-20 p-5 rounded-[20px] border border-gray-100 shadow-lg text-[40px] font-bold">🤷</div>
<h2 className="text-[32px] font-bold text-gray-900">{t('login.invalid')}</h2>
</div>
<div className="w-full mx-auto mt-6">
<Button type='primary' className='w-full !fone-medium !text-sm'>
<a href="https://dify.ai">{t('login.explore')}</a>
</Button>
</div>
</div>
)}
{checkRes && checkRes.is_valid && !showSuccess && (
<div className='flex flex-col md:w-[400px]'>
<div className="w-full mx-auto">
<div className={`mb-3 flex justify-center items-center w-20 h-20 p-5 rounded-[20px] border border-gray-100 shadow-lg text-[40px] font-bold ${style.logo}`}>
</div>
<h2 className="text-[32px] font-bold text-gray-900">
{`${t('login.join')} ${checkRes.workspace_name}`}
</h2>
<p className='mt-1 text-sm text-gray-600 '>
{`${t('login.joinTipStart')} ${checkRes.workspace_name} ${t('login.joinTipEnd')}`}
</p>
</div>
<div className="w-full mx-auto mt-6">
<div className="bg-white">
{/* username */}
<div className='mb-5'>
<label htmlFor="name" className="my-2 flex items-center justify-between text-sm font-medium text-gray-900">
{t('login.name')}
</label>
<div className="mt-1 relative rounded-md shadow-sm">
<input
id="name"
type="text"
value={name}
onChange={e => setName(e.target.value)}
placeholder={t('login.namePlaceholder') || ''}
className={'appearance-none block w-full rounded-lg pl-[14px] px-3 py-2 border border-gray-200 hover:border-gray-300 hover:shadow-sm focus:outline-none focus:ring-primary-500 focus:border-primary-500 placeholder-gray-400 caret-primary-600 sm:text-sm pr-10'}
/>
</div>
</div>
{/* password */}
<div className='mb-5'>
<label htmlFor="password" className="my-2 flex items-center justify-between text-sm font-medium text-gray-900">
{t('login.password')}
</label>
<div className="mt-1 relative rounded-md shadow-sm">
<input
id="password"
type='password'
value={password}
onChange={e => setPassword(e.target.value)}
placeholder={t('login.passwordPlaceholder') || ''}
className={'appearance-none block w-full rounded-lg pl-[14px] px-3 py-2 border border-gray-200 hover:border-gray-300 hover:shadow-sm focus:outline-none focus:ring-primary-500 focus:border-primary-500 placeholder-gray-400 caret-primary-600 sm:text-sm pr-10'}
/>
</div>
<div className='mt-1 text-xs text-gray-500'>{t('login.error.passwordInvalid')}</div>
</div>
{/* language */}
<div className='mb-5'>
<label htmlFor="name" className="my-2 flex items-center justify-between text-sm font-medium text-gray-900">
{t('login.interfaceLanguage')}
</label>
<div className="relative mt-1 rounded-md shadow-sm">
<SimpleSelect
defaultValue={languageMaps.en}
items={languages}
onSelect={(item) => {
setLanguage(item.value as string)
}}
/>
</div>
</div>
{/* timezone */}
<div className='mb-4'>
<label htmlFor="timezone" className="block text-sm font-medium text-gray-700">
{t('login.timezone')}
</label>
<div className="relative mt-1 rounded-md shadow-sm">
<SimpleSelect
defaultValue={timezone}
items={timezones}
onSelect={(item) => {
setTimezone(item.value as string)
}}
/>
</div>
</div>
<div>
<Button
type='primary'
className='w-full !fone-medium !text-sm'
onClick={handleActivate}
>
{`${t('login.join')} ${checkRes.workspace_name}`}
</Button>
</div>
<div className="block w-hull mt-2 text-xs text-gray-600">
{t('login.license.tip')}
&nbsp;
<Link
className='text-primary-600'
target={'_blank'}
href='https://docs.dify.ai/community/open-source'
>{t('login.license.link')}</Link>
</div>
</div>
</div>
</div>
)}
{checkRes && checkRes.is_valid && showSuccess && (
<div className="flex flex-col md:w-[400px]">
<div className="w-full mx-auto">
<div className="mb-3 flex justify-center items-center w-20 h-20 p-5 rounded-[20px] border border-gray-100 shadow-lg text-[40px] font-bold">
<CheckCircleIcon className='w-10 h-10 text-[#039855]' />
</div>
<h2 className="text-[32px] font-bold text-gray-900">
{`${t('login.activatedTipStart')} ${checkRes.workspace_name} ${t('login.activatedTipEnd')}`}
</h2>
</div>
<div className="w-full mx-auto mt-6">
<Button type='primary' className='w-full !fone-medium !text-sm'>
<a href="/signin">{t('login.activated')}</a>
</Button>
</div>
</div>
)}
</div>
)
}
export default ActivateForm

32
web/app/activate/page.tsx Normal file
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@ -0,0 +1,32 @@
import React from 'react'
import cn from 'classnames'
import Header from '../signin/_header'
import style from '../signin/page.module.css'
import ActivateForm from './activateForm'
const Activate = () => {
return (
<div className={cn(
style.background,
'flex w-full min-h-screen',
'sm:p-4 lg:p-8',
'gap-x-20',
'justify-center lg:justify-start',
)}>
<div className={
cn(
'flex w-full flex-col bg-white shadow rounded-2xl shrink-0',
'space-between',
)
}>
<Header />
<ActivateForm />
<div className='px-8 py-6 text-sm font-normal text-gray-500'>
© {new Date().getFullYear()} Dify, Inc. All rights reserved.
</div>
</div>
</div>
)
}
export default Activate

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