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Merge pull request xtekky#1213 from thatlukinhasguy1/main
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Make the API use FastAPI instead of Flask
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@xtekky
xtekky authored Nov 5, 2023
2 parents 363daea + f1280da commit d5a499d
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Showing 5 changed files with 144 additions and 214 deletions.
2 changes: 1 addition & 1 deletion g4f/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -115,4 +115,4 @@ def create(model : Union[Model, str],
return result if stream else ''.join(result)

if version_check:
check_pypi_version()
check_pypi_version()
341 changes: 138 additions & 203 deletions g4f/api/__init__.py
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Original file line number Diff line number Diff line change
@@ -1,227 +1,162 @@
import typing
from .. import BaseProvider
import g4f; g4f.debug.logging = True
from fastapi import FastAPI, Response, Request
from typing import List, Union, Any, Dict, AnyStr
from ._tokenizer import tokenize
from .. import BaseProvider

import time
import json
import random
import string
import logging

from typing import Union
from loguru import logger
from waitress import serve
from ._logging import hook_logging
from ._tokenizer import tokenize
from flask_cors import CORS
from werkzeug.serving import WSGIRequestHandler
from werkzeug.exceptions import default_exceptions
from werkzeug.middleware.proxy_fix import ProxyFix

from flask import (
Flask,
jsonify,
make_response,
request,
)
import uvicorn
import nest_asyncio
import g4f

class Api:
__default_ip = '127.0.0.1'
__default_port = 1337

def __init__(self, engine: g4f, debug: bool = True, sentry: bool = False,
list_ignored_providers:typing.List[typing.Union[str, BaseProvider]]=None) -> None:
self.engine = engine
self.debug = debug
self.sentry = sentry
self.list_ignored_providers = list_ignored_providers
self.log_level = logging.DEBUG if debug else logging.WARN

hook_logging(level=self.log_level, format='[%(asctime)s] %(levelname)s in %(module)s: %(message)s')
self.logger = logging.getLogger('waitress')

self.app = Flask(__name__)
self.app.wsgi_app = ProxyFix(self.app.wsgi_app, x_port=1)
self.app.after_request(self.__after_request)

def run(self, bind_str, threads=8):
host, port = self.__parse_bind(bind_str)

CORS(self.app, resources={r'/v1/*': {'supports_credentials': True, 'expose_headers': [
'Content-Type',
'Authorization',
'X-Requested-With',
'Accept',
'Origin',
'Access-Control-Request-Method',
'Access-Control-Request-Headers',
'Content-Disposition'], 'max_age': 600}})

self.app.route('/v1/models', methods=['GET'])(self.models)
self.app.route('/v1/models/<model_id>', methods=['GET'])(self.model_info)

self.app.route('/v1/chat/completions', methods=['POST'])(self.chat_completions)
self.app.route('/v1/completions', methods=['POST'])(self.completions)

for ex in default_exceptions:
self.app.register_error_handler(ex, self.__handle_error)

if not self.debug:
self.logger.warning(f'Serving on http://{host}:{port}')

WSGIRequestHandler.protocol_version = 'HTTP/1.1'
serve(self.app, host=host, port=port, ident=None, threads=threads)

def __handle_error(self, e: Exception):
self.logger.error(e)

return make_response(jsonify({
'code': e.code,
'message': str(e.original_exception if self.debug and hasattr(e, 'original_exception') else e.name)}), 500)

@staticmethod
def __after_request(resp):
resp.headers['X-Server'] = f'g4f/{g4f.version}'

return resp

def __parse_bind(self, bind_str):
sections = bind_str.split(':', 2)
if len(sections) < 2:
list_ignored_providers: List[Union[str, BaseProvider]] = None) -> None:
self.engine = engine
self.debug = debug
self.sentry = sentry
self.list_ignored_providers = list_ignored_providers

self.app = FastAPI()
nest_asyncio.apply()

JSONObject = Dict[AnyStr, Any]
JSONArray = List[Any]
JSONStructure = Union[JSONArray, JSONObject]

@self.app.get("/")
async def read_root():
return Response(content=json.dumps({"info": "g4f API"}, indent=4), media_type="application/json")

@self.app.get("/v1")
async def read_root_v1():
return Response(content=json.dumps({"info": "Go to /v1/chat/completions or /v1/models."}, indent=4), media_type="application/json")

@self.app.get("/v1/models")
async def models():
model_list = [{
'id': model,
'object': 'model',
'created': 0,
'owned_by': 'g4f'} for model in g4f.Model.__all__()]

return Response(content=json.dumps({
'object': 'list',
'data': model_list}, indent=4), media_type="application/json")

@self.app.get("/v1/models/{model_name}")
async def model_info(model_name: str):
try:
port = int(sections[0])
return self.__default_ip, port
except ValueError:
return sections[0], self.__default_port

return sections[0], int(sections[1])

async def home(self):
return 'Hello world | https://127.0.0.1:1337/v1'

async def chat_completions(self):
model = request.json.get('model', 'gpt-3.5-turbo')
stream = request.json.get('stream', False)
messages = request.json.get('messages')

logger.info(f'model: {model}, stream: {stream}, request: {messages[-1]["content"]}')

config = None
proxy = None

try:
config = json.load(open("config.json","r",encoding="utf-8"))
proxy = config["proxy"]

except Exception:
pass

if proxy != None:
response = self.engine.ChatCompletion.create(model=model,
stream=stream, messages=messages,
ignored=self.list_ignored_providers,
proxy=proxy)
else:
response = self.engine.ChatCompletion.create(model=model,
stream=stream, messages=messages,
ignored=self.list_ignored_providers)

completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
completion_timestamp = int(time.time())

if not stream:
prompt_tokens, _ = tokenize(''.join([message['content'] for message in messages]))
completion_tokens, _ = tokenize(response)

return {
'id': f'chatcmpl-{completion_id}',
'object': 'chat.completion',
'created': completion_timestamp,
'model': model,
'choices': [
{
'index': 0,
'message': {
'role': 'assistant',
'content': response,
},
'finish_reason': 'stop',
}
],
'usage': {
'prompt_tokens': prompt_tokens,
'completion_tokens': completion_tokens,
'total_tokens': prompt_tokens + completion_tokens,
},
model_info = (g4f.ModelUtils.convert[model_name])

return Response(content=json.dumps({
'id': model_name,
'object': 'model',
'created': 0,
'owned_by': model_info.base_provider
}, indent=4), media_type="application/json")
except:
return Response(content=json.dumps({"error": "The model does not exist."}, indent=4), media_type="application/json")

@self.app.post("/v1/chat/completions")
async def chat_completions(request: Request, item: JSONStructure = None):
item_data = {
'model': 'gpt-3.5-turbo',
'stream': False,
}

def streaming():
item_data.update(item or {})
model = item_data.get('model')
stream = item_data.get('stream')
messages = item_data.get('messages')

try:
for chunk in response:
completion_data = {
response = g4f.ChatCompletion.create(model=model, stream=stream, messages=messages)
except:
return Response(content=json.dumps({"error": "An error occurred while generating the response."}, indent=4), media_type="application/json")

completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
completion_timestamp = int(time.time())

if not stream:
prompt_tokens, _ = tokenize(''.join([message['content'] for message in messages]))
completion_tokens, _ = tokenize(response)

json_data = {
'id': f'chatcmpl-{completion_id}',
'object': 'chat.completion',
'created': completion_timestamp,
'model': model,
'choices': [
{
'index': 0,
'message': {
'role': 'assistant',
'content': response,
},
'finish_reason': 'stop',
}
],
'usage': {
'prompt_tokens': prompt_tokens,
'completion_tokens': completion_tokens,
'total_tokens': prompt_tokens + completion_tokens,
},
}

return Response(content=json.dumps(json_data, indent=4), media_type="application/json")

def streaming():
try:
for chunk in response:
completion_data = {
'id': f'chatcmpl-{completion_id}',
'object': 'chat.completion.chunk',
'created': completion_timestamp,
'model': model,
'choices': [
{
'index': 0,
'delta': {
'content': chunk,
},
'finish_reason': None,
}
],
}

content = json.dumps(completion_data, separators=(',', ':'))
yield f'data: {content}\n\n'
time.sleep(0.03)

end_completion_data = {
'id': f'chatcmpl-{completion_id}',
'object': 'chat.completion.chunk',
'created': completion_timestamp,
'model': model,
'choices': [
{
'index': 0,
'delta': {
'content': chunk,
},
'finish_reason': None,
'delta': {},
'finish_reason': 'stop',
}
],
}

content = json.dumps(completion_data, separators=(',', ':'))
content = json.dumps(end_completion_data, separators=(',', ':'))
yield f'data: {content}\n\n'
time.sleep(0.03)

end_completion_data = {
'id': f'chatcmpl-{completion_id}',
'object': 'chat.completion.chunk',
'created': completion_timestamp,
'model': model,
'choices': [
{
'index': 0,
'delta': {},
'finish_reason': 'stop',
}
],
}

content = json.dumps(end_completion_data, separators=(',', ':'))
yield f'data: {content}\n\n'

logger.success(f'model: {model}, stream: {stream}')

except GeneratorExit:
pass

return self.app.response_class(streaming(), mimetype='text/event-stream')

async def completions(self):
return 'not working yet', 500

async def model_info(self, model_name):
model_info = (g4f.ModelUtils.convert[model_name])

return jsonify({
'id' : model_name,
'object' : 'model',
'created' : 0,
'owned_by' : model_info.base_provider
})

async def models(self):
model_list = [{
'id' : model,
'object' : 'model',
'created' : 0,
'owned_by' : 'g4f'} for model in g4f.Model.__all__()]

return jsonify({
'object': 'list',
'data': model_list})

except GeneratorExit:
pass

return Response(content=json.dumps(streaming(), indent=4), media_type="application/json")

@self.app.post("/v1/completions")
async def completions():
return Response(content=json.dumps({'info': 'Not working yet.'}, indent=4), media_type="application/json")

def run(self, ip):
split_ip = ip.split(":")
uvicorn.run(app=self.app, host=split_ip[0], port=int(split_ip[1]), use_colors=False)
2 changes: 1 addition & 1 deletion g4f/api/run.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,4 +3,4 @@

if __name__ == "__main__":
print(f'Starting server... [g4f v-{g4f.version}]')
g4f.api.Api(g4f).run('127.0.0.1:1337', 8)
g4f.api.Api(engine = g4f, debug = True).run(ip = "127.0.0.1:1337")
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