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import requests
from requests import get
from uuid import uuid4
import io
import re
import json
from typing import Any
import logging
class OPENGPT:
def __init__(
self,
max_tokens: int = 600,
timeout: int = 30,
intro: str = None,
filepath: str = None,
update_file: bool = True,
proxies: dict = {},
history_offset: int = 10250,
act: str = None,
):
"""Instantiates OPENGPT
Args:
is_conversation (bool, optional): Flag for chatting conversationally. Defaults to True
max_tokens (int, optional): Maximum number of tokens to be generated upon completion. Defaults to 600.
timeout (int, optional): Http request timeout. Defaults to 30.
intro (str, optional): Conversation introductory prompt. Defaults to None.
filepath (str, optional): Path to file containing conversation history. Defaults to None.
update_file (bool, optional): Add new prompts and responses to the file. Defaults to True.
proxies (dict, optional): Http request proxies. Defaults to {}.
history_offset (int, optional): Limit conversation history to this number of last texts. Defaults to 10250.
act (str|int, optional): Awesome prompt key or index. (Used as intro). Defaults to None.
"""
self.session = requests.Session()
self.max_tokens_to_sample = max_tokens
self.chat_endpoint = (
"https://opengpts-example-vz4y4ooboq-uc.a.run.app/runs/stream"
)
self.stream_chunk_size = 64
self.timeout = timeout
self.last_response = {}
self.assistant_id = "bca37014-6f97-4f2b-8928-81ea8d478d88"
self.authority = "opengpts-example-vz4y4ooboq-uc.a.run.app"
self.headers = {
"authority": self.authority,
"accept": "text/event-stream",
"accept-language": "en-US,en;q=0.7",
"cache-control": "no-cache",
"content-type": "application/json",
"origin": "https://opengpts-example-vz4y4ooboq-uc.a.run.app",
"pragma": "no-cache",
"referer": "https://opengpts-example-vz4y4ooboq-uc.a.run.app/",
"sec-fetch-site": "same-origin",
"sec-gpc": "1",
"user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
}
def ask(
self,
prompt: str,
stream: bool = False,
raw: bool = False,
optimizer: str = None,
) -> dict:
"""Chat with AI
Args:
prompt (str): Prompt to be send.
stream (bool, optional): Flag for streaming response. Defaults to False.
raw (bool, optional): Stream back raw response as received. Defaults to False.
optimizer (str, optional): Prompt optimizer name - `[code, shell_command]`. Defaults to None.
conversationally (bool, optional): Chat conversationally when using optimizer. Defaults to False.
Returns:
dict : {}
```json
{
"messages": [
{
"content": "Hello there",
"additional_kwargs": {},
"type": "human",
"example": false
},
{
"content": "Hello! How can I assist you today?",
"additional_kwargs": {
"agent": {
"return_values": {
"output": "Hello! How can I assist you today?"
},
"log": "Hello! How can I assist you today?",
"type": "AgentFinish"
}
},
"type": "ai",
"example": false
}]
}
```
"""
self.session.headers.update(self.headers)
self.session.headers.update(
dict(
cookie=f"opengpts_user_id={uuid4().__str__()}",
)
)
payload = {
"input": [
{
"additional_kwargs": {},
"type": "human",
"example": False,
},
],
"assistant_id": self.assistant_id,
"thread_id": "",
}
def for_stream():
response = self.session.post(
self.chat_endpoint, json=payload, stream=True, timeout=self.timeout
)
if (
not response.ok
or not response.headers.get("Content-Type")
== "text/event-stream; charset=utf-8"
):
raise Exception(
f"Failed to generate response - ({response.status_code}, {response.reason}) - {response.text}"
)
for value in response.iter_lines(
decode_unicode=True,
chunk_size=self.stream_chunk_size,
):
try:
modified_value = re.sub("data:", "", value)
resp = json.loads(modified_value)
if len(resp) == 1:
continue
self.last_response.update(resp[1])
yield value if raw else resp[1]
except json.decoder.JSONDecodeError:
pass
)
def for_non_stream():
for _ in for_stream():
pass
return self.last_response
return for_stream() if stream else for_non_stream()
def chat(
self,
prompt: str,
stream: bool = False,
optimizer: str = None,
) -> str:
"""Generate response `str`
Args:
prompt (str): Prompt to be send.
stream (bool, optional): Flag for streaming response. Defaults to False.
optimizer (str, optional): Prompt optimizer name - `[code, shell_command]`. Defaults to None.
conversationally (bool, optional): Chat conversationally when using optimizer. Defaults to False.
Returns:
str: Response generated
"""
def for_stream():
for response in self.ask(
prompt, True
):
yield self.get_message(response)
def for_non_stream():
return self.get_message(
self.ask(
prompt,
False,
optimizer=optimizer,
)
)
return for_stream() if stream else for_non_stream()
def get_message(self, response: dict) -> str:
"""Retrieves message only from response
Args:
response (dict): Response generated by `self.ask`
Returns:
str: Message extracted
"""
assert isinstance(response, dict), "Response should be of dict data-type only"
return response["content"] |