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Author SHA1 Message Date
NovaOSS Admins 45c6a14dc0 Enterprise fix 2023-10-15 20:50:13 +00:00
NovaOSS Admins fa1200fba3 Minor fixes, really 2023-10-15 20:35:18 +00:00
9 changed files with 59 additions and 29 deletions

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@ -65,24 +65,31 @@ This one's code can be found in the following repository: [github.com/novaoss/no
# Setup
## Requirements
- Python 3.9+
- pip
- MongoDB database
- `uvicorn`
- newest **Python** version
- newest Python **pip** version
- **MongoDB** database
- `uvicorn` in your system package manager
## Recommended
- Setup of the other infrastructure
- `git` (for updates)
- `screen` (for production)
- Cloudflare (for security, anti-DDoS, etc.) - we fully support Cloudflare
- proxies, in case you need to protect your privacy from authorities (China, Iran, ...)
## Staging System
This repository has an integrated staging system. It's a simple system that allows you to test the API server before deploying it to production.
You should definitely set up two databases on MongoDB: `nova-core` and `nova-test`. Please note that `nova-core` is always used for `providerkeys`.
Put your production `.env` file in `env/.prod.env`. Your test `.env` file should be in `.env`.
Put your production env in `env/.prod.env` and modify the values from the test `.env` to your liking:
- Set `MONGO_NAME` to `nova-core`, which is your database name for the production mode.
- Set `CHECKS_ENDPOINT` to `http://localhost:2333` (or the production port you set for `nova-api`)
**Warning -** always make sure to update your production `.env` (`env/.prod.env`), too!
Your test `.env` file should be placed in here.
Running `PUSH_TO_PRODUCTION.sh` will:
- kill port `2333` (production)
- remove all contents of the production directory, set to `/home/nova-prod/` (feel free to change it)
@ -130,6 +137,8 @@ Create a `.env` file, make sure not to reveal any of its contents to anyone, and
### Database
Set up a MongoDB database and set `MONGO_URI` to the MongoDB database connection URI. Quotation marks are definetly recommended here!
Then set `MONGO_NAME` to `nova-test`, which is your database name for the tests.
### Proxy (optional)
- `PROXY_TYPE` (optional, defaults to `socks.PROXY_TYPE_HTTP`): the type of proxy - can be `http`, `https`, `socks4`, `socks5`, `4` or `5`, etc...
- `PROXY_HOST`: the proxy host (host domain or IP address), without port!
@ -182,13 +191,17 @@ You can also just add the *beginning* of an API address, like `12.123.` (without
### Core Keys
`CORE_API_KEY` specifies the **very secret key** for which need to access the entire user database etc.
### Checks
`NOVA_KEY` is the API key the which is used in tests. It should be one with tons of credits.
`CHECKS_ENDPOINT` is the endpoint
### Webhooks
`DISCORD_WEBHOOK__USER_CREATED` is the Discord webhook URL for when a user is created.
`DISCORD_WEBHOOK__API_ISSUE` is the Discord webhook URL for when an API issue occurs.
### Other
`MODERATION_DEBUG_KEY` can be almost any string (avoid spaces or special characters) - users can add `#` + this key to their API key (e.g. `Bearer nv-123#modkey` as the `Authorization` header) to bypass the moderation checks. This is especially useful if the moderation is too sensitive and can be disabled for certain trusted users.
`KEYGEN_INFIX` can be almost any string (avoid spaces or special characters) - this string will be put in the middle of every NovaAI API key which is generated. This is useful for identifying the source of the key using e.g. RegEx.
## Misc

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@ -25,7 +25,7 @@ models = [model['id'] for model in models_list['data']]
with open(os.path.join('config', 'config.yml'), encoding='utf8') as f:
config = yaml.safe_load(f)
moderation_debug_key_key = os.getenv('MODERATION_DEBUG_KEY')
moderation_debug_key = os.getenv('MODERATION_DEBUG_KEY')
async def handle(incoming_request: fastapi.Request):
"""Transfer a streaming response
@ -71,10 +71,10 @@ async def handle(incoming_request: fastapi.Request):
if ban_reason:
return await errors.error(403, f'Your NovaAI account has been banned. Reason: \'{ban_reason}\'.', 'Contact the staff for an appeal.')
# Checking for enterprise status
enterprise_keys = os.environ.get('ENTERPRISE_KEYS')
if path.startswith('/enterprise/v1') and user.get('api_key') not in enterprise_keys.split():
return await errors.error(403, 'Enterprise API is not available.', 'Contact the staff for an upgrade.')
is_enterprise_key = 'enterprise' in user.get('role', 'default')
if path.startswith('/enterprise/v1') and not is_enterprise_key:
return await errors.error(403, 'Enterprise API is not available for your API key.', 'Contact the staff for an upgrade.')
if 'account/credits' in path:
return fastapi.responses.JSONResponse({'credits': user['credits']})
@ -87,6 +87,9 @@ async def handle(incoming_request: fastapi.Request):
role = user.get('role', 'default')
if 'enterprise' in role:
role_cost_multiplier = 0.1
else:
try:
role_cost_multiplier = config['roles'][role]['bonus']
except KeyError:
@ -124,7 +127,7 @@ async def handle(incoming_request: fastapi.Request):
policy_violation = False
if not (moderation_debug_key_key and moderation_debug_key_key in key_tags and 'gpt-3' in payload.get('model', '')):
if not (moderation_debug_key and moderation_debug_key in key_tags and 'gpt-3' in payload.get('model', '')):
if '/moderations' not in path:
inp = ''

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@ -1,2 +1,2 @@
from . import azure
MODULES = [azure]
from . import ails, closed, closed4
MODULES = [ails, closed, closed4]

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@ -3,8 +3,10 @@ from .helpers import utils
ORGANIC = False
MODELS = [
'gpt-3.5-turbo',
'gpt-3.5-turbo-0301',
'gpt-3.5-turbo-16k-0613'
'gpt-3.5-turbo-0613',
'gpt-4',
'gpt-3.5-turbo-16k',
'gpt-4-0613'
]
async def chat_completion(**kwargs):

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@ -1,13 +1,14 @@
from .helpers import utils
ORGANIC = False # If all OpenAI endpoints should be used for the provider. If false, only a chat completions are used for this provider.
ENDPOINT = 'https://nova-00001.openai.azure.com' # (Important: read below) The endpoint for the provider.
ENDPOINT = 'https://nova-00003.openai.azure.com' # (Important: read below) The endpoint for the provider.
#! IMPORTANT: If this is an ORGANIC provider, this should be the endpoint for the API with anything BEFORE the "/v1".
MODELS = [
'gpt-3.5-turbo',
'gpt-3.5-turbo-16k',
'gpt-4',
'gpt-4-32k'
# 'gpt-3.5-turbo-16k',
# 'gpt-3.5-turbo-instruct'
# 'gpt-4',
# 'gpt-4-32k'
]
async def chat_completion(**payload):

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@ -31,7 +31,8 @@ async def random_secret_for(name: str) -> str:
async def azure_chat_completion(endpoint: str, provider: str, payload: dict) -> dict:
key = await random_secret_for(provider)
model = payload['model']
deployment = model.replace('.', '').replace('-azure', '')
del payload['model']
deployment = model.replace('.', '')
return {
'method': 'POST',

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@ -122,7 +122,7 @@ def get_proxy() -> Proxy:
return Proxy(
proxy_type=os.getenv('PROXY_TYPE', 'http'),
host_or_ip=os.getenv('PROXY_HOST', '127.0.0.1'),
host_or_ip=os.environ['PROXY_HOST'],
port=int(os.getenv('PROXY_PORT', '8080')),
username=os.getenv('PROXY_USER'),
password=os.getenv('PROXY_PASS')

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@ -71,7 +71,7 @@ async def respond(
'timeout': 0
}
for _ in range(5):
for _ in range(10):
try:
if is_chat:
target_request = await load_balancing.balance_chat_request(payload)
@ -107,7 +107,12 @@ async def respond(
if target_request['method'] == 'GET' and not payload:
target_request['payload'] = None
async with aiohttp.ClientSession(connector=proxies.get_proxy().connector) as session:
connector = None
if os.getenv('PROXY_HOST') or os.getenv('USE_PROXY_LIST', 'False').lower() == 'true':
connector = proxies.get_proxy().connector
async with aiohttp.ClientSession(connector=connector) as session:
try:
async with session.request(
method=target_request.get('method', 'POST'),

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@ -72,7 +72,11 @@ async def test_chat_non_stream_gpt4() -> float:
)
await _response_base_check(response)
try:
assert '1337' in response.json()['choices'][0]['message']['content'], 'The API did not return a correct response.'
except json.decoder.JSONDecodeError:
return response.status_code
return time.perf_counter() - request_start
async def test_chat_stream_gpt3() -> float:
@ -216,8 +220,9 @@ async def demo():
raise ConnectionError('API Server is not running.')
for func in [
test_chat_stream_gpt3,
test_chat_non_stream_gpt4,
test_chat_stream_gpt3
test_function_calling,
]:
print(f'[*] {func.__name__}')
result = await func()