.env.example

@@ -1,6 +1,20 @@
-HOMESERVER="https://matrix-client.matrix.org" # required
+# Please remove the option that is blank
+HOMESERVER="https://matrix.xxxxxx.xxxx" # required
 USER_ID="@lullap:xxxxxxxxxxxxx.xxx" # required
-PASSWORD="xxxxxxxxxxxxxxx" # required
-DEVICE_ID="MatrixChatGPTBot" # required
+PASSWORD="xxxxxxxxxxxxxxx" # Optional
+DEVICE_ID="xxxxxxxxxxxxxx" # required
 ROOM_ID="!FYCmBSkCRUXXXXXXXXX:matrix.XXX.XXX" # Optional, if not set, bot will work on the room it is in
-OPENAI_API_KEY="xxxxxxxxxxxxxxxxx" # Optional
+OPENAI_API_KEY="xxxxxxxxxxxxxxxxx" # Optional, for !chat and !gpt command
+BING_API_ENDPOINT="xxxxxxxxxxxxxxx" # Optional, for !bing command
+ACCESS_TOKEN="xxxxxxxxxxxxxxxxxxxxx" # Optional, use user_id and password is recommended
+BARD_TOKEN="xxxxxxxxxxxxxxxxxxxx", # Optional, for !bard command
+JAILBREAKENABLED="true" # Optional
+BING_AUTH_COOKIE="xxxxxxxxxxxxxxxxxxx" # _U cookie, Optional, for Bing Image Creator
+MARKDOWN_FORMATTED="true" # Optional
+OUTPUT_FOUR_IMAGES="true" # Optional
+IMPORT_KEYS_PATH="element-keys.txt" # Optional
+IMPORT_KEYS_PASSWORD="xxxxxxx" # Optional
+FLOWISE_API_URL="http://localhost:3000/api/v1/prediction/xxxx" # Optional
+FLOWISE_API_KEY="xxxxxxxxxxxxxxxxxxxxxxx" # Optional
+PANDORA_API_ENDPOINT="http://pandora:8008" # Optional
+PANDORA_API_MODEL="text-davinci-002-render-sha-mobile" # Optional

.full-env.example

@@ -1,27 +0,0 @@
-HOMESERVER="https://matrix-client.matrix.org"
-USER_ID="@lullap:xxxxxxxxxxxxx.xxx"
-PASSWORD="xxxxxxxxxxxxxxx"
-ACCESS_TOKEN="xxxxxxxxxxx"
-DEVICE_ID="xxxxxxxxxxxxxx"
-ROOM_ID="!FYCmBSkCRUXXXXXXXXX:matrix.XXX.XXX"
-IMPORT_KEYS_PATH="element-keys.txt"
-IMPORT_KEYS_PASSWORD="xxxxxxxxxxxx"
-OPENAI_API_KEY="xxxxxxxxxxxxxxxxx"
-GPT_API_ENDPOINT="https://api.openai.com/v1/chat/completions"
-GPT_MODEL="gpt-3.5-turbo"
-MAX_TOKENS=4000
-TOP_P=1.0
-PRESENCE_PENALTY=0.0
-FREQUENCY_PENALTY=0.0
-REPLY_COUNT=1
-SYSTEM_PROMPT="You are ChatGPT,  a large language model trained by OpenAI. Respond conversationally"
-TEMPERATURE=0.8
-LC_ADMIN="@admin:xxxxxx.xxx,@admin2:xxxxxx.xxx"
-IMAGE_GENERATION_ENDPOINT="http://127.0.0.1:7860/sdapi/v1/txt2img"
-IMAGE_GENERATION_BACKEND="sdwui" # openai or sdwui or localai
-IMAGE_GENERATION_SIZE="512x512"
-IMAGE_FORMAT="webp"
-SDWUI_STEPS=20
-SDWUI_SAMPLER_NAME="Euler a"
-SDWUI_CFG_SCALE=7
-TIMEOUT=120.0

.github/FUNDING.yml

@@ -0,0 +1,3 @@
+# These are supported funding model platforms
+
+custom: ["https://www.paypal.me/bobmaster922"]

.github/workflows/pylint.yml

@@ -0,0 +1,28 @@
+name: Pylint
+
+on: [push, pull_request]
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: ["3.10", "3.11"]
+    steps:
+    - uses: actions/checkout@v3
+    - name: Install libolm-dev
+      run: |
+        sudo apt install -y libolm-dev
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v4
+      with:
+        python-version: ${{ matrix.python-version }}
+        cache: 'pip'
+    - name: Install dependencies
+      run: |
+        pip install -U pip setuptools wheel
+        pip install -r requirements.txt
+        pip install pylint
+    - name: Analysing the code with pylint
+      run: |
+        pylint $(git ls-files '*.py') --errors-only

.gitignore

@@ -168,8 +168,3 @@ cython_debug/
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 .idea/
-
-# Custom
-sync_db
-manage_db
-element-keys.txt

.pre-commit-config.yaml

@@ -1,16 +0,0 @@
-repos:
-  - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.5.0
-    hooks:
-      - id: trailing-whitespace
-      - id: end-of-file-fixer
-      - id: check-yaml
-  - repo: https://github.com/psf/black
-    rev: 23.12.0
-    hooks:
-      - id: black
-  - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.1.7
-    hooks:
-      - id: ruff
-        args: [--fix, --exit-non-zero-on-fix]

BingImageGen.py

@@ -0,0 +1,184 @@
+"""
+Code derived from:
+https://github.com/acheong08/EdgeGPT/blob/f940cecd24a4818015a8b42a2443dd97c3c2a8f4/src/ImageGen.py
+"""
+
+from log import getlogger
+from uuid import uuid4
+import os
+import contextlib
+import aiohttp
+import asyncio
+import random
+import requests
+import regex
+
+logger = getlogger()
+
+BING_URL = "https://www.bing.com"
+# Generate random IP between range 13.104.0.0/14
+FORWARDED_IP = (
+    f"13.{random.randint(104, 107)}.{random.randint(0, 255)}.{random.randint(0, 255)}"
+)
+HEADERS = {
+    "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7",  # noqa: E501
+    "accept-language": "en-US,en;q=0.9",
+    "cache-control": "max-age=0",
+    "content-type": "application/x-www-form-urlencoded",
+    "referrer": "https://www.bing.com/images/create/",
+    "origin": "https://www.bing.com",
+    "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36 Edg/110.0.1587.63",  # noqa: E501
+    "x-forwarded-for": FORWARDED_IP,
+}
+
+
+class ImageGenAsync:
+    """
+    Image generation by Microsoft Bing
+    Parameters:
+        auth_cookie: str
+    """
+
+    def __init__(self, auth_cookie: str, quiet: bool = True) -> None:
+        self.session = aiohttp.ClientSession(
+            headers=HEADERS,
+            cookies={"_U": auth_cookie},
+        )
+        self.quiet = quiet
+
+    async def __aenter__(self):
+        return self
+
+    async def __aexit__(self, *excinfo) -> None:
+        await self.session.close()
+
+    def __del__(self):
+        try:
+            loop = asyncio.get_running_loop()
+        except RuntimeError:
+            loop = asyncio.new_event_loop()
+            asyncio.set_event_loop(loop)
+        loop.run_until_complete(self._close())
+
+    async def _close(self):
+        await self.session.close()
+
+    async def get_images(self, prompt: str) -> list:
+        """
+        Fetches image links from Bing
+        Parameters:
+            prompt: str
+        """
+        if not self.quiet:
+            print("Sending request...")
+        url_encoded_prompt = requests.utils.quote(prompt)
+        # https://www.bing.com/images/create?q=<PROMPT>&rt=3&FORM=GENCRE
+        url = f"{BING_URL}/images/create?q={url_encoded_prompt}&rt=4&FORM=GENCRE"
+        async with self.session.post(url, allow_redirects=False) as response:
+            content = await response.text()
+            if "this prompt has been blocked" in content.lower():
+                raise Exception(
+                    "Your prompt has been blocked by Bing. Try to change any bad words and try again.",  # noqa: E501
+                )
+            if response.status != 302:
+                # if rt4 fails, try rt3
+                url = (
+                    f"{BING_URL}/images/create?q={url_encoded_prompt}&rt=3&FORM=GENCRE"
+                )
+                async with self.session.post(
+                    url,
+                    allow_redirects=False,
+                    timeout=200,
+                ) as response3:
+                    if response3.status != 302:
+                        print(f"ERROR: {response3.text}")
+                        raise Exception("Redirect failed")
+                    response = response3
+        # Get redirect URL
+        redirect_url = response.headers["Location"].replace("&nfy=1", "")
+        request_id = redirect_url.split("id=")[-1]
+        await self.session.get(f"{BING_URL}{redirect_url}")
+        # https://www.bing.com/images/create/async/results/{ID}?q={PROMPT}
+        polling_url = f"{BING_URL}/images/create/async/results/{request_id}?q={url_encoded_prompt}"  # noqa: E501
+        # Poll for results
+        if not self.quiet:
+            print("Waiting for results...")
+        while True:
+            if not self.quiet:
+                print(".", end="", flush=True)
+            # By default, timeout is 300s, change as needed
+            response = await self.session.get(polling_url)
+            if response.status != 200:
+                raise Exception("Could not get results")
+            content = await response.text()
+            if content and content.find("errorMessage") == -1:
+                break
+
+            await asyncio.sleep(1)
+            continue
+        # Use regex to search for src=""
+        image_links = regex.findall(r'src="([^"]+)"', content)
+        # Remove size limit
+        normal_image_links = [link.split("?w=")[0] for link in image_links]
+        # Remove duplicates
+        normal_image_links = list(set(normal_image_links))
+
+        # Bad images
+        bad_images = [
+            "https://r.bing.com/rp/in-2zU3AJUdkgFe7ZKv19yPBHVs.png",
+            "https://r.bing.com/rp/TX9QuO3WzcCJz1uaaSwQAz39Kb0.jpg",
+        ]
+        for im in normal_image_links:
+            if im in bad_images:
+                raise Exception("Bad images")
+        # No images
+        if not normal_image_links:
+            raise Exception("No images")
+        return normal_image_links
+
+    async def save_images(
+        self, links: list, output_dir: str, output_four_images: bool
+    ) -> list:
+        """
+        Saves images to output directory
+        """
+        with contextlib.suppress(FileExistsError):
+            os.mkdir(output_dir)
+
+        image_path_list = []
+
+        if output_four_images:
+            for link in links:
+                image_name = str(uuid4())
+                image_path = os.path.join(output_dir, f"{image_name}.jpeg")
+                try:
+                    async with self.session.get(
+                        link, raise_for_status=True
+                    ) as response:
+                        with open(image_path, "wb") as output_file:
+                            async for chunk in response.content.iter_chunked(8192):
+                                output_file.write(chunk)
+                    image_path_list.append(image_path)
+                except aiohttp.client_exceptions.InvalidURL as url_exception:
+                    raise Exception(
+                        "Inappropriate contents found in the generated images. Please try again or try another prompt."
+                    ) from url_exception  # noqa: E501
+        else:
+            image_name = str(uuid4())
+            if links:
+                link = links.pop()
+                try:
+                    async with self.session.get(
+                        link, raise_for_status=True
+                    ) as response:
+                        image_path = os.path.join(output_dir, f"{image_name}.jpeg")
+                        with open(image_path, "wb") as output_file:
+                            async for chunk in response.content.iter_chunked(8192):
+                                output_file.write(chunk)
+                        image_path_list.append(image_path)
+                except aiohttp.client_exceptions.InvalidURL as url_exception:
+                    raise Exception(
+                        "Inappropriate contents found in the generated images. Please try again or try another prompt."
+                    ) from url_exception  # noqa: E501
+
+        return image_path_list

CHANGELOG.md

@@ -1,37 +0,0 @@
-# Changelog
-
-## 1.5.3
-- Make gptbot more compatible by using non-streaming method
-
-## 1.5.2
-- Expose more stable diffusion webui api parameters
-
-## 1.5.1
-- fix: set timeout not work in image generation
-
-## 1.5.0
-- Fix localai v2.0+ image generation
-- Fallback to gpt-3.5-turbo when caculate tokens using custom model
-
-## 1.4.1
-- Fix variable type imported from environment variable
-- Bump pre-commit hook version
-
-## 1.4.0
-- Fix access_token login method not work in E2EE Room
-
-## 1.3.0
-- remove support for bing,bard,pandora
-- refactor chat logic, add self host model support
-- support new image generation endpoint
-- admin system to manage langchain(flowise backend)
-
-## 1.2.0
-- rename `api_key` to `openai_api_key` in `config.json`
-- rename `bing_api_endpoint` to `api_endpoint` in `config.json` and `env` file
-- add `temperature` option to control ChatGPT model temperature
-- remove `jailbreakEnabled` option
-- session isolation for `!chat`, `!bing`, `!bard` command
-- `!new + {chat,bing,bard,talk}` now can be used to create new conversation
-- send some error message to user
-- bug fix and code cleanup

Dockerfile

@@ -2,15 +2,18 @@ FROM python:3.11-alpine as base
 
 FROM base as pybuilder
 # RUN sed -i 's|v3\.\d*|edge|' /etc/apk/repositories
-RUN apk update && apk add --no-cache olm-dev gcc musl-dev libmagic libffi-dev cmake make g++ git python3-dev
+RUN apk update && apk add --no-cache olm-dev gcc musl-dev libmagic libffi-dev
 COPY requirements.txt /requirements.txt
 RUN pip install -U pip setuptools wheel && pip install --user -r /requirements.txt && rm /requirements.txt
 
+
 FROM base as runner
 RUN apk update && apk add --no-cache olm-dev libmagic libffi-dev
 COPY --from=pybuilder /root/.local /usr/local
 COPY . /app
 
+
 FROM runner
 WORKDIR /app
-CMD ["python", "src/main.py"]
+CMD ["python", "main.py"]
+

README.md

@@ -1,29 +1,31 @@
 ## Introduction
 
-This is a simple Matrix bot that support using OpenAI API, Langchain to generate responses from user inputs. The bot responds to these commands: `!gpt`, `!chat`, `!pic`, `!new`, `!lc` and `!help` depending on the first word of the prompt.
+This is a simple Matrix bot that uses OpenAI's GPT API and Bing AI and Google Bard to generate responses to user inputs. The bot responds to these commands: `!gpt`, `!chat` and `!bing` and `!pic` and `!bard` and `!talk`, `!goon`, `!new` and `!lc` and `!help` depending on the first word of the prompt.
+![Bing](https://user-images.githubusercontent.com/32976627/231073146-3e380217-a6a2-413d-9203-ab36965b909d.png)
+![image](https://user-images.githubusercontent.com/32976627/232036790-e830145c-914e-40be-b3e6-c02cba93329c.png)
 ![ChatGPT](https://i.imgur.com/kK4rnPf.jpeg)
 
 ## Feature
 
-1. Support official openai api and self host models([LocalAI](https://localai.io/model-compatibility/))
-2. Support E2E Encrypted Room
-3. Colorful code blocks
-4. Langchain([Flowise](https://github.com/FlowiseAI/Flowise))
-5. Image Generation with [DALL·E](https://platform.openai.com/docs/api-reference/images/create) or [LocalAI](https://localai.io/features/image-generation/) or [stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/API)
-
+1. Support Openai ChatGPT and Bing AI and Google Bard
+2. Support Bing Image Creator
+3. Support E2E Encrypted Room
+4. Colorful code blocks
+5. Langchain([Flowise](https://github.com/FlowiseAI/Flowise))
+6. ChatGPT Web ([pandora](https://github.com/pengzhile/pandora) with Session isolation support)
 
 ## Installation and Setup
 
 Docker method(Recommended):<br>
 Edit `config.json` or `.env` with proper values <br>
 For explainations and complete parameter list see: https://github.com/hibobmaster/matrix_chatgpt_bot/wiki <br>
-Create two empty file, for persist database only<br>
+Create an empty file, for persist database only<br>
 
 ```bash
-touch sync_db manage_db
+touch db
 sudo docker compose up -d
 ```
-manage_db(can be ignored) is for langchain agent, sync_db is for matrix sync database<br>
+
 <hr>
 Normal Method:<br>
 system dependece: <code>libolm-dev</code>
@@ -44,9 +46,13 @@ pip install -U pip setuptools wheel
 pip install -r requirements.txt
 ```
 
-3. Create a new config.json file and complete it with the necessary information:<br>
+3. Create a new config.json file and fill it with the necessary information:<br>
+   Use password to login(recommended) or provide `access_token` <br>
    If not set:<br>
    `room_id`: bot will work in the room where it is in <br>
+   `api_key`: `!chat` command will not work <br>
+   `bing_api_endpoint`: `!bing` command will not work <br>
+   `bing_auth_cookie`: `!pic` command will not work
 
 ```json
 {
@@ -55,20 +61,22 @@ pip install -r requirements.txt
   "password": "YOUR_PASSWORD",
   "device_id": "YOUR_DEVICE_ID",
   "room_id": "YOUR_ROOM_ID",
-  "openai_api_key": "YOUR_API_KEY",
-  "gpt_api_endpoint": "xxxxxxxxx"
+  "api_key": "YOUR_API_KEY",
+  "access_token": "xxxxxxxxxxxxxx",
+  "bing_api_endpoint": "xxxxxxxxx",
+  "bing_auth_cookie": "xxxxxxxxxx"
 }
 ```
 
-4. Launch the bot:
+4. Start the bot:
 
 ```
-python src/main.py
+python main.py
 ```
 
 ## Usage
 
-To interact with the bot, simply send a message to the bot in the Matrix room with one of the following prompts:<br>
+To interact with the bot, simply send a message to the bot in the Matrix room with one of the two prompts:<br>
 - `!help` help message
 
 - `!gpt` To generate a one time response:
@@ -83,34 +91,44 @@ To interact with the bot, simply send a message to the bot in the Matrix room wi
 !chat Can you tell me a joke?
 ```
 
+- `!bing` To chat with Bing AI with context conversation
+
+```
+!bing Do you know Victor Marie Hugo?
+```
+
+- `!bard` To chat with Google's Bard
+```
+!bard Building a website can be done in 10 simple steps
+```
 - `!lc` To chat using langchain api endpoint
 ```
-!lc All the world is a stage
+!lc 人生如音乐，欢乐且自由
 ```
-- `!pic` To generate an image using openai DALL·E or LocalAI
+- `!pic` To generate an image from Microsoft Bing
 
 ```
 !pic A bridal bouquet made of succulents
 ```
-- `!agent` display or set langchain agent
-```
-!agent list
-!agent use {agent_name}
-```
-- `!new + {chat}` Start a new converstaion
 
-LangChain(flowise) admin: https://github.com/hibobmaster/matrix_chatgpt_bot/wiki/Langchain-(flowise)
+The following commands need pandora http api:
+https://github.com/pengzhile/pandora/blob/master/doc/wiki_en.md#http-restful-api
+- `!talk + [prompt]`  Chat using chatGPT web with context conversation
+- `!goon` Ask chatGPT to complete the missing part from previous conversation
+- `!new` Start a new converstaion
+
+## Bing AI and Image Generation
+
 
-## Image Generation
-![demo1](https://i.imgur.com/voeomsF.jpg)
-![demo2](https://i.imgur.com/BKZktWd.jpg)
 https://github.com/hibobmaster/matrix_chatgpt_bot/wiki/ <br>
-
+![](https://i.imgur.com/KuYddd5.jpg)
+![](https://i.imgur.com/3SRQdN0.jpg)
 
 ## Thanks
 1. [matrix-nio](https://github.com/poljar/matrix-nio)
 2. [acheong08](https://github.com/acheong08)
-3. [8go](https://github.com/8go/)
+3. [node-chatgpt-api](https://github.com/waylaidwanderer/node-chatgpt-api)
+4. [8go](https://github.com/8go/)
 
 <a href="https://jb.gg/OpenSourceSupport" target="_blank">
 <img src="https://resources.jetbrains.com/storage/products/company/brand/logos/jb_beam.png" alt="JetBrains Logo (Main) logo." width="200" height="200">

askgpt.py

@@ -0,0 +1,41 @@
+import aiohttp
+import asyncio
+import json
+from log import getlogger
+
+logger = getlogger()
+
+
+class askGPT:
+    def __init__(self, session: aiohttp.ClientSession):
+        self.session = session
+
+    async def oneTimeAsk(self, prompt: str, api_endpoint: str, headers: dict) -> str:
+        jsons = {
+            "model": "gpt-3.5-turbo",
+            "messages": [
+                {
+                    "role": "user",
+                    "content": prompt,
+                },
+            ],
+        }
+        max_try = 2
+        while max_try > 0:
+            try:
+                async with self.session.post(
+                    url=api_endpoint, json=jsons, headers=headers, timeout=120
+                ) as response:
+                    status_code = response.status
+                    if not status_code == 200:
+                        # print failed reason
+                        logger.warning(str(response.reason))
+                        max_try = max_try - 1
+                        # wait 2s
+                        await asyncio.sleep(2)
+                        continue
+
+                    resp = await response.read()
+                    return json.loads(resp)["choices"][0]["message"]["content"]
+            except Exception as e:
+                raise Exception(e)

bard.py

@@ -0,0 +1,133 @@
+"""
+Code derived from: https://github.com/acheong08/Bard/blob/main/src/Bard.py
+"""
+
+import random
+import string
+import re
+import json
+import requests
+
+class Bardbot:
+    """
+    A class to interact with Google Bard.
+    Parameters
+        session_id: str
+            The __Secure-1PSID cookie.
+        timeout: int
+            Request timeout in seconds.
+        session: requests.Session
+            Requests session object.
+    """
+
+    __slots__ = [
+        "headers",
+        "_reqid",
+        "SNlM0e",
+        "conversation_id",
+        "response_id",
+        "choice_id",
+        "session_id",
+        "session",
+        "timeout",
+    ]
+
+    def __init__(
+            self, 
+            session_id: str,
+            timeout: int = 20,
+            session: requests.Session = None,
+        ):
+        headers = {
+            "Host": "bard.google.com",
+            "X-Same-Domain": "1",
+            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.114 Safari/537.36",
+            "Content-Type": "application/x-www-form-urlencoded;charset=UTF-8",
+            "Origin": "https://bard.google.com",
+            "Referer": "https://bard.google.com/",
+        }
+        self._reqid = int("".join(random.choices(string.digits, k=4)))
+        self.conversation_id = ""
+        self.response_id = ""
+        self.choice_id = ""
+        self.session_id = session_id
+        self.session = session or requests.Session()
+        self.session.headers = headers
+        self.session.cookies.set("__Secure-1PSID", session_id)
+        self.SNlM0e = self.__get_snlm0e()
+        self.timeout = timeout
+
+    def __get_snlm0e(self):
+        # Find "SNlM0e":"<ID>"
+        if not self.session_id or self.session_id[-1] != ".":
+            raise Exception(
+                "__Secure-1PSID value must end with a single dot. Enter correct __Secure-1PSID value.",
+            )
+        resp = self.session.get(
+            "https://bard.google.com/",
+            timeout=10,
+        )
+        if resp.status_code != 200:
+            raise Exception(
+                f"Response code not 200. Response Status is {resp.status_code}",
+            )
+        SNlM0e = re.search(r"SNlM0e\":\"(.*?)\"", resp.text)
+        if not SNlM0e:
+            raise Exception(
+                "SNlM0e value not found in response. Check __Secure-1PSID value.",
+            )
+        return SNlM0e.group(1)
+
+    def ask(self, message: str) -> dict:
+        """
+        Send a message to Google Bard and return the response.
+        :param message: The message to send to Google Bard.
+        :return: A dict containing the response from Google Bard.
+        """
+        # url params
+        params = {
+            "bl": "boq_assistant-bard-web-server_20230523.13_p0",
+            "_reqid": str(self._reqid),
+            "rt": "c",
+        }
+
+        # message arr -> data["f.req"]. Message is double json stringified
+        message_struct = [
+            [message],
+            None,
+            [self.conversation_id, self.response_id, self.choice_id],
+        ]
+        data = {
+            "f.req": json.dumps([None, json.dumps(message_struct)]),
+            "at": self.SNlM0e,
+        }
+        resp = self.session.post(
+            "https://bard.google.com/_/BardChatUi/data/assistant.lamda.BardFrontendService/StreamGenerate",
+            params=params,
+            data=data,
+            timeout=self.timeout,
+        )
+        chat_data = json.loads(resp.content.splitlines()[3])[0][2]
+        if not chat_data:
+            return {"content": f"Google Bard encountered an error: {resp.content}."}
+        json_chat_data = json.loads(chat_data)
+        images = set()
+        if len(json_chat_data) >= 3:
+            if len(json_chat_data[4][0]) >= 4:
+                if json_chat_data[4][0][4]:
+                    for img in json_chat_data[4][0][4]:
+                        images.add(img[0][0][0])
+        results = {
+            "content": json_chat_data[0][0],
+            "conversation_id": json_chat_data[1][0],
+            "response_id": json_chat_data[1][1],
+            "factualityQueries": json_chat_data[3],
+            "textQuery": json_chat_data[2][0] if json_chat_data[2] is not None else "",
+            "choices": [{"id": i[0], "content": i[1]} for i in json_chat_data[4]],
+            "images": images,
+        }
+        self.conversation_id = results["conversation_id"]
+        self.response_id = results["response_id"]
+        self.choice_id = results["choices"][0]["id"]
+        self._reqid += 100000
+        return results

bing.py

@@ -0,0 +1,63 @@
+import aiohttp
+import json
+import asyncio
+from log import getlogger
+
+# api_endpoint = "http://localhost:3000/conversation"
+logger = getlogger()
+
+
+class BingBot:
+    def __init__(
+        self,
+        session: aiohttp.ClientSession,
+        bing_api_endpoint: str,
+        jailbreakEnabled: bool = True,
+    ):
+        self.data = {
+            "clientOptions.clientToUse": "bing",
+        }
+        self.bing_api_endpoint = bing_api_endpoint
+
+        self.session = session
+
+        self.jailbreakEnabled = jailbreakEnabled
+
+        if self.jailbreakEnabled:
+            self.data["jailbreakConversationId"] = True
+
+    async def ask_bing(self, prompt) -> str:
+        self.data["message"] = prompt
+        max_try = 2
+        while max_try > 0:
+            try:
+                resp = await self.session.post(
+                    url=self.bing_api_endpoint, json=self.data, timeout=120
+                )
+                status_code = resp.status
+                body = await resp.read()
+                if not status_code == 200:
+                    # print failed reason
+                    logger.warning(str(resp.reason))
+                    max_try = max_try - 1
+                    # print(await resp.text())
+                    await asyncio.sleep(2)
+                    continue
+                json_body = json.loads(body)
+                if self.jailbreakEnabled:
+                    self.data["jailbreakConversationId"] = json_body[
+                        "jailbreakConversationId"
+                    ]
+                    self.data["parentMessageId"] = json_body["messageId"]
+                else:
+                    self.data["conversationSignature"] = json_body[
+                        "conversationSignature"
+                    ]
+                    self.data["conversationId"] = json_body["conversationId"]
+                    self.data["clientId"] = json_body["clientId"]
+                    self.data["invocationId"] = json_body["invocationId"]
+                return json_body["details"]["adaptiveCards"][0]["body"][0]["text"]
+            except Exception as e:
+                logger.error("Error Exception", exc_info=True)
+
+        return "Error, please retry"

bot.py

@@ -0,0 +1,908 @@
+import asyncio
+import os
+import re
+import sys
+import traceback
+from typing import Union, Optional
+import uuid
+
+import aiohttp
+from nio import (
+    AsyncClient,
+    AsyncClientConfig,
+    InviteMemberEvent,
+    JoinError,
+    KeyVerificationCancel,
+    KeyVerificationEvent,
+    EncryptionError,
+    KeyVerificationKey,
+    KeyVerificationMac,
+    KeyVerificationStart,
+    LocalProtocolError,
+    LoginResponse,
+    MatrixRoom,
+    MegolmEvent,
+    RoomMessageText,
+    ToDeviceError,
+)
+from nio.store.database import SqliteStore
+
+from askgpt import askGPT
+from bing import BingBot
+from BingImageGen import ImageGenAsync
+from log import getlogger
+from send_image import send_room_image
+from send_message import send_room_message
+from v3 import Chatbot
+from bard import Bardbot
+from flowise import flowise_query
+from pandora import Pandora
+
+logger = getlogger()
+
+
+class Bot:
+    def __init__(
+        self,
+        homeserver: str,
+        user_id: str,
+        device_id: str,
+        chatgpt_api_endpoint: str = os.environ.get("CHATGPT_API_ENDPOINT")
+        or "https://api.openai.com/v1/chat/completions",
+        api_key: Union[str, None] = None,
+        room_id: Union[str, None] = None,
+        bing_api_endpoint: Union[str, None] = None,
+        password: Union[str, None] = None,
+        access_token: Union[str, None] = None,
+        bard_token: Union[str, None] = None,
+        jailbreakEnabled: Union[bool, None] = True,
+        bing_auth_cookie: Union[str, None] = "",
+        markdown_formatted: Union[bool, None] = False,
+        output_four_images: Union[bool, None] = False,
+        import_keys_path: Optional[str] = None,
+        import_keys_password: Optional[str] = None,
+        flowise_api_url: Optional[str] = None,
+        flowise_api_key: Optional[str] = None,
+        pandora_api_endpoint: Optional[str] = None,
+        pandora_api_model: Optional[str] = None,
+    ):
+        if homeserver is None or user_id is None or device_id is None:
+            logger.warning("homeserver && user_id && device_id is required")
+            sys.exit(1)
+
+        if password is None and access_token is None:
+            logger.warning("password or access_toekn is required")
+            sys.exit(1)
+
+        self.homeserver = homeserver
+        self.user_id = user_id
+        self.password = password
+        self.access_token = access_token
+        self.bard_token = bard_token
+        self.device_id = device_id
+        self.room_id = room_id
+        self.api_key = api_key
+        self.chatgpt_api_endpoint = chatgpt_api_endpoint
+        self.import_keys_path = import_keys_path
+        self.import_keys_password = import_keys_password
+        self.flowise_api_url = flowise_api_url
+        self.flowise_api_key = flowise_api_key
+        self.pandora_api_endpoint = pandora_api_endpoint
+
+        self.session = aiohttp.ClientSession()
+
+        if bing_api_endpoint is None:
+            self.bing_api_endpoint = ""
+        else:
+            self.bing_api_endpoint = bing_api_endpoint
+
+        if jailbreakEnabled is None:
+            self.jailbreakEnabled = True
+        else:
+            self.jailbreakEnabled = jailbreakEnabled
+
+        if bing_auth_cookie is None:
+            self.bing_auth_cookie = ""
+        else:
+            self.bing_auth_cookie = bing_auth_cookie
+
+        if markdown_formatted is None:
+            self.markdown_formatted = False
+        else:
+            self.markdown_formatted = markdown_formatted
+
+        if output_four_images is None:
+            self.output_four_images = False
+        else:
+            self.output_four_images = output_four_images
+
+        # initialize AsyncClient object
+        self.store_path = os.getcwd()
+        self.config = AsyncClientConfig(
+            store=SqliteStore,
+            store_name="db",
+            store_sync_tokens=True,
+            encryption_enabled=True,
+        )
+        self.client = AsyncClient(
+            homeserver=self.homeserver,
+            user=self.user_id,
+            device_id=self.device_id,
+            config=self.config,
+            store_path=self.store_path,
+        )
+
+        if self.access_token is not None:
+            self.client.access_token = self.access_token
+
+        # setup event callbacks
+        self.client.add_event_callback(self.message_callback, (RoomMessageText,))
+        self.client.add_event_callback(self.decryption_failure, (MegolmEvent,))
+        self.client.add_event_callback(self.invite_callback, (InviteMemberEvent,))
+        self.client.add_to_device_callback(
+            self.to_device_callback, (KeyVerificationEvent,)
+        )
+
+        # regular expression to match keyword commands
+        self.gpt_prog = re.compile(r"^\s*!gpt\s*(.+)$")
+        self.chat_prog = re.compile(r"^\s*!chat\s*(.+)$")
+        self.bing_prog = re.compile(r"^\s*!bing\s*(.+)$")
+        self.bard_prog = re.compile(r"^\s*!bard\s*(.+)$")
+        self.pic_prog = re.compile(r"^\s*!pic\s*(.+)$")
+        self.lc_prog = re.compile(r"^\s*!lc\s*(.+)$")
+        self.help_prog = re.compile(r"^\s*!help\s*.*$")
+        self.talk_prog = re.compile(r"^\s*!talk\s*(.+)$")
+        self.goon_prog = re.compile(r"^\s*!goon\s*.*$")
+        self.new_prog = re.compile(r"^\s*!new\s*.*$")
+
+        # initialize chatbot and chatgpt_api_endpoint
+        if self.api_key is not None:
+            self.chatbot = Chatbot(api_key=self.api_key, timeout=120)
+
+            self.chatgpt_api_endpoint = self.chatgpt_api_endpoint
+            # request header for !gpt command
+            self.headers = {
+                "Content-Type": "application/json",
+                "Authorization": f"Bearer {self.api_key}",
+            }
+
+        # initialize askGPT class
+        self.askgpt = askGPT(self.session)
+
+        # initialize bingbot
+        if self.bing_api_endpoint != "":
+            self.bingbot = BingBot(
+                self.session, bing_api_endpoint, jailbreakEnabled=self.jailbreakEnabled
+            )
+
+        # initialize BingImageGenAsync
+        if self.bing_auth_cookie != "":
+            self.imageGen = ImageGenAsync(self.bing_auth_cookie, quiet=True)
+
+        # initialize Bardbot
+        if bard_token is not None:
+            self.bardbot = Bardbot(self.bard_token)
+
+        # initialize pandora
+        if pandora_api_endpoint is not None:
+            self.pandora = Pandora(
+                api_endpoint=pandora_api_endpoint, clientSession=self.session
+            )
+            if pandora_api_model is None:
+                self.pandora_api_model = "text-davinci-002-render-sha-mobile"
+            else:
+                self.pandora_api_model = pandora_api_model
+
+        self.pandora_data = {}
+
+    def __del__(self):
+        try:
+            loop = asyncio.get_running_loop()
+        except RuntimeError:
+            loop = asyncio.new_event_loop()
+            asyncio.set_event_loop(loop)
+        loop.run_until_complete(self._close())
+
+    async def _close(self):
+        await self.session.close()
+
+    def pandora_init(self, sender_id: str) -> None:
+        self.pandora_data[sender_id] = {
+            "conversation_id": None,
+            "parent_message_id": str(uuid.uuid4()),
+            "first_time": True,
+        }
+
+    # message_callback RoomMessageText event
+    async def message_callback(self, room: MatrixRoom, event: RoomMessageText) -> None:
+        if self.room_id is None:
+            room_id = room.room_id
+        else:
+            # if event room id does not match the room id in config, return
+            if room.room_id != self.room_id:
+                return
+            room_id = self.room_id
+
+        # reply event_id
+        reply_to_event_id = event.event_id
+
+        # sender_id
+        sender_id = event.sender
+
+        if sender_id not in self.pandora_data:
+            self.pandora_init(sender_id)
+
+        # user_message
+        raw_user_message = event.body
+
+        # print info to console
+        logger.info(
+            f"Message received in room {room.display_name}\n"
+            f"{room.user_name(event.sender)} | {raw_user_message}"
+        )
+
+        # prevent command trigger loop
+        if self.user_id != event.sender:
+            # remove newline character from event.body
+            content_body = re.sub("\r\n|\r|\n", " ", raw_user_message)
+
+            # chatgpt
+            n = self.chat_prog.match(content_body)
+            if n:
+                prompt = n.group(1)
+                if self.api_key is not None:
+                    try:
+                        asyncio.create_task(
+                            self.chat(
+                                room_id,
+                                reply_to_event_id,
+                                prompt,
+                                sender_id,
+                                raw_user_message,
+                            )
+                        )
+                    except Exception as e:
+                        logger.error(e, exc_info=True)
+                        await send_room_message(
+                            self.client, room_id, reply_message=str(e)
+                        )
+                else:
+                    logger.warning("No API_KEY provided")
+                    await send_room_message(
+                        self.client, room_id, reply_message="API_KEY not provided"
+                    )
+
+            m = self.gpt_prog.match(content_body)
+            if m:
+                prompt = m.group(1)
+                try:
+                    asyncio.create_task(
+                        self.gpt(
+                            room_id,
+                            reply_to_event_id,
+                            prompt,
+                            sender_id,
+                            raw_user_message,
+                        )
+                    )
+                except Exception as e:
+                    logger.error(e, exc_info=True)
+                    await send_room_message(self.client, room_id, reply_message=str(e))
+
+            # bing ai
+            if self.bing_api_endpoint != "":
+                b = self.bing_prog.match(content_body)
+                if b:
+                    prompt = b.group(1)
+                    # raw_content_body used for construct formatted_body
+                    try:
+                        asyncio.create_task(
+                            self.bing(
+                                room_id,
+                                reply_to_event_id,
+                                prompt,
+                                sender_id,
+                                raw_user_message,
+                            )
+                        )
+                    except Exception as e:
+                        logger.error(e, exc_info=True)
+                        await send_room_message(
+                            self.client, room_id, reply_message=str(e)
+                        )
+
+            # Image Generation by Microsoft Bing
+            if self.bing_auth_cookie != "":
+                i = self.pic_prog.match(content_body)
+                if i:
+                    prompt = i.group(1)
+                    try:
+                        asyncio.create_task(self.pic(room_id, prompt))
+                    except Exception as e:
+                        logger.error(e, exc_info=True)
+                        await send_room_message(
+                            self.client, room_id, reply_message=str(e)
+                        )
+
+            # Google's Bard
+            if self.bard_token is not None:
+                b = self.bard_prog.match(content_body)
+                if b:
+                    prompt = b.group(1)
+                    try:
+                        asyncio.create_task(
+                            self.bard(
+                                room_id,
+                                reply_to_event_id,
+                                prompt,
+                                sender_id,
+                                raw_user_message,
+                            )
+                        )
+                    except Exception as e:
+                        logger.error(e, exc_info=True)
+                        await send_room_message(self.client, room_id, reply_message={e})
+
+            # lc command
+            if self.flowise_api_url is not None:
+                m = self.lc_prog.match(content_body)
+                if m:
+                    prompt = m.group(1)
+                    try:
+                        asyncio.create_task(
+                            self.lc(
+                                room_id,
+                                reply_to_event_id,
+                                prompt,
+                                sender_id,
+                                raw_user_message,
+                            )
+                        )
+                    except Exception as e:
+                        logger.error(e, exc_info=True)
+                        await send_room_message(self.client, room_id, reply_message={e})
+
+            # pandora
+            if self.pandora_api_endpoint is not None:
+                t = self.talk_prog.match(content_body)
+                if t:
+                    prompt = t.group(1)
+                    try:
+                        asyncio.create_task(
+                            self.talk(
+                                room_id,
+                                reply_to_event_id,
+                                prompt,
+                                sender_id,
+                                raw_user_message,
+                            )
+                        )
+                    except Exception as e:
+                        logger.error(e, exc_info=True)
+                        await send_room_message(self.client, room_id, reply_message={e})
+
+                g = self.goon_prog.match(content_body)
+                if g:
+                    try:
+                        asyncio.create_task(
+                            self.goon(
+                                room_id,
+                                reply_to_event_id,
+                                sender_id,
+                                raw_user_message,
+                            )
+                        )
+                    except Exception as e:
+                        logger.error(e, exc_info=True)
+                        await send_room_message(self.client, room_id, reply_message={e})
+
+                n = self.new_prog.match(content_body)
+                if n:
+                    try:
+                        asyncio.create_task(
+                            self.new(
+                                room_id,
+                                reply_to_event_id,
+                                sender_id,
+                                raw_user_message,
+                            )
+                        )
+                    except Exception as e:
+                        logger.error(e, exc_info=True)
+                        await send_room_message(self.client, room_id, reply_message={e})
+
+            # help command
+            h = self.help_prog.match(content_body)
+            if h:
+                asyncio.create_task(self.help(room_id))
+
+    # message_callback decryption_failure event
+    async def decryption_failure(self, room: MatrixRoom, event: MegolmEvent) -> None:
+        if not isinstance(event, MegolmEvent):
+            return
+
+        logger.error(
+            f"Failed to decrypt message: {event.event_id} \
+                from {event.sender} in {room.room_id}\n"
+            + "Please make sure the bot current session is verified"
+        )
+
+    # invite_callback event
+    async def invite_callback(self, room: MatrixRoom, event: InviteMemberEvent) -> None:
+        """Handle an incoming invite event.
+        If an invite is received, then join the room specified in the invite.
+        code copied from: https://github.com/8go/matrix-eno-bot/blob/ad037e02bd2960941109e9526c1033dd157bb212/callbacks.py#L104
+        """
+        logger.debug(f"Got invite to {room.room_id} from {event.sender}.")
+        # Attempt to join 3 times before giving up
+        for attempt in range(3):
+            result = await self.client.join(room.room_id)
+            if type(result) == JoinError:
+                logger.error(
+                    f"Error joining room {room.room_id} (attempt %d): %s",
+                    attempt,
+                    result.message,
+                )
+            else:
+                break
+        else:
+            logger.error("Unable to join room: %s", room.room_id)
+
+        # Successfully joined room
+        logger.info(f"Joined {room.room_id}")
+
+    # to_device_callback event
+    async def to_device_callback(self, event: KeyVerificationEvent) -> None:
+        """Handle events sent to device.
+
+        Specifically this will perform Emoji verification.
+        It will accept an incoming Emoji verification requests
+        and follow the verification protocol.
+        code copied from: https://github.com/8go/matrix-eno-bot/blob/ad037e02bd2960941109e9526c1033dd157bb212/callbacks.py#L127
+        """
+        try:
+            client = self.client
+            logger.debug(
+                f"Device Event of type {type(event)} received in " "to_device_cb()."
+            )
+
+            if isinstance(event, KeyVerificationStart):  # first step
+                """first step: receive KeyVerificationStart
+                KeyVerificationStart(
+                    source={'content':
+                            {'method': 'm.sas.v1',
+                             'from_device': 'DEVICEIDXY',
+                             'key_agreement_protocols':
+                                ['curve25519-hkdf-sha256', 'curve25519'],
+                             'hashes': ['sha256'],
+                             'message_authentication_codes':
+                                ['hkdf-hmac-sha256', 'hmac-sha256'],
+                             'short_authentication_string':
+                                ['decimal', 'emoji'],
+                             'transaction_id': 'SomeTxId'
+                             },
+                            'type': 'm.key.verification.start',
+                            'sender': '@user2:example.org'
+                            },
+                    sender='@user2:example.org',
+                    transaction_id='SomeTxId',
+                    from_device='DEVICEIDXY',
+                    method='m.sas.v1',
+                    key_agreement_protocols=[
+                        'curve25519-hkdf-sha256', 'curve25519'],
+                    hashes=['sha256'],
+                    message_authentication_codes=[
+                        'hkdf-hmac-sha256', 'hmac-sha256'],
+                    short_authentication_string=['decimal', 'emoji'])
+                """
+
+                if "emoji" not in event.short_authentication_string:
+                    estr = (
+                        "Other device does not support emoji verification "
+                        f"{event.short_authentication_string}. Aborting."
+                    )
+                    logger.info(estr)
+                    return
+                resp = await client.accept_key_verification(event.transaction_id)
+                if isinstance(resp, ToDeviceError):
+                    estr = f"accept_key_verification() failed with {resp}"
+                    logger.info(estr)
+
+                sas = client.key_verifications[event.transaction_id]
+
+                todevice_msg = sas.share_key()
+                resp = await client.to_device(todevice_msg)
+                if isinstance(resp, ToDeviceError):
+                    estr = f"to_device() failed with {resp}"
+                    logger.info(estr)
+
+            elif isinstance(event, KeyVerificationCancel):  # anytime
+                """at any time: receive KeyVerificationCancel
+                KeyVerificationCancel(source={
+                    'content': {'code': 'm.mismatched_sas',
+                                'reason': 'Mismatched authentication string',
+                                'transaction_id': 'SomeTxId'},
+                    'type': 'm.key.verification.cancel',
+                    'sender': '@user2:example.org'},
+                    sender='@user2:example.org',
+                    transaction_id='SomeTxId',
+                    code='m.mismatched_sas',
+                    reason='Mismatched short authentication string')
+                """
+
+                # There is no need to issue a
+                # client.cancel_key_verification(tx_id, reject=False)
+                # here. The SAS flow is already cancelled.
+                # We only need to inform the user.
+                estr = (
+                    f"Verification has been cancelled by {event.sender} "
+                    f'for reason "{event.reason}".'
+                )
+                logger.info(estr)
+
+            elif isinstance(event, KeyVerificationKey):  # second step
+                """Second step is to receive KeyVerificationKey
+                KeyVerificationKey(
+                    source={'content': {
+                            'key': 'SomeCryptoKey',
+                            'transaction_id': 'SomeTxId'},
+                        'type': 'm.key.verification.key',
+                        'sender': '@user2:example.org'
+                    },
+                    sender='@user2:example.org',
+                    transaction_id='SomeTxId',
+                    key='SomeCryptoKey')
+                """
+                sas = client.key_verifications[event.transaction_id]
+
+                logger.info(f"{sas.get_emoji()}")
+                # don't log the emojis
+
+                # The bot process must run in forground with a screen and
+                # keyboard so that user can accept/reject via keyboard.
+                # For emoji verification bot must not run as service or
+                # in background.
+                # yn = input("Do the emojis match? (Y/N) (C for Cancel) ")
+                # automatic match, so we use y
+                yn = "y"
+                if yn.lower() == "y":
+                    estr = (
+                        "Match! The verification for this " "device will be accepted."
+                    )
+                    logger.info(estr)
+                    resp = await client.confirm_short_auth_string(event.transaction_id)
+                    if isinstance(resp, ToDeviceError):
+                        estr = "confirm_short_auth_string() " f"failed with {resp}"
+                        logger.info(estr)
+                elif yn.lower() == "n":  # no, don't match, reject
+                    estr = (
+                        "No match! Device will NOT be verified "
+                        "by rejecting verification."
+                    )
+                    logger.info(estr)
+                    resp = await client.cancel_key_verification(
+                        event.transaction_id, reject=True
+                    )
+                    if isinstance(resp, ToDeviceError):
+                        estr = f"cancel_key_verification failed with {resp}"
+                        logger.info(estr)
+                else:  # C or anything for cancel
+                    estr = "Cancelled by user! Verification will be " "cancelled."
+                    logger.info(estr)
+                    resp = await client.cancel_key_verification(
+                        event.transaction_id, reject=False
+                    )
+                    if isinstance(resp, ToDeviceError):
+                        estr = f"cancel_key_verification failed with {resp}"
+                        logger.info(estr)
+
+            elif isinstance(event, KeyVerificationMac):  # third step
+                """Third step is to receive KeyVerificationMac
+                KeyVerificationMac(
+                    source={'content': {
+                        'mac': {'ed25519:DEVICEIDXY': 'SomeKey1',
+                                'ed25519:SomeKey2': 'SomeKey3'},
+                        'keys': 'SomeCryptoKey4',
+                        'transaction_id': 'SomeTxId'},
+                        'type': 'm.key.verification.mac',
+                        'sender': '@user2:example.org'},
+                    sender='@user2:example.org',
+                    transaction_id='SomeTxId',
+                    mac={'ed25519:DEVICEIDXY': 'SomeKey1',
+                         'ed25519:SomeKey2': 'SomeKey3'},
+                    keys='SomeCryptoKey4')
+                """
+                sas = client.key_verifications[event.transaction_id]
+                try:
+                    todevice_msg = sas.get_mac()
+                except LocalProtocolError as e:
+                    # e.g. it might have been cancelled by ourselves
+                    estr = (
+                        f"Cancelled or protocol error: Reason: {e}.\n"
+                        f"Verification with {event.sender} not concluded. "
+                        "Try again?"
+                    )
+                    logger.info(estr)
+                else:
+                    resp = await client.to_device(todevice_msg)
+                    if isinstance(resp, ToDeviceError):
+                        estr = f"to_device failed with {resp}"
+                        logger.info(estr)
+                    estr = (
+                        f"sas.we_started_it = {sas.we_started_it}\n"
+                        f"sas.sas_accepted = {sas.sas_accepted}\n"
+                        f"sas.canceled = {sas.canceled}\n"
+                        f"sas.timed_out = {sas.timed_out}\n"
+                        f"sas.verified = {sas.verified}\n"
+                        f"sas.verified_devices = {sas.verified_devices}\n"
+                    )
+                    logger.info(estr)
+                    estr = (
+                        "Emoji verification was successful!\n"
+                        "Initiate another Emoji verification from "
+                        "another device or room if desired. "
+                        "Or if done verifying, hit Control-C to stop the "
+                        "bot in order to restart it as a service or to "
+                        "run it in the background."
+                    )
+                    logger.info(estr)
+            else:
+                estr = (
+                    f"Received unexpected event type {type(event)}. "
+                    f"Event is {event}. Event will be ignored."
+                )
+                logger.info(estr)
+        except BaseException:
+            estr = traceback.format_exc()
+            logger.info(estr)
+
+    # !chat command
+    async def chat(
+        self, room_id, reply_to_event_id, prompt, sender_id, raw_user_message
+    ):
+        await self.client.room_typing(room_id, timeout=120000)
+
+        text = await self.chatbot.ask_async(prompt)
+        text = text.strip()
+        await send_room_message(
+            self.client,
+            room_id,
+            reply_message=text,
+            reply_to_event_id="",
+            sender_id=sender_id,
+            user_message=raw_user_message,
+            markdown_formatted=self.markdown_formatted,
+        )
+
+    # !gpt command
+    async def gpt(
+        self, room_id, reply_to_event_id, prompt, sender_id, raw_user_message
+    ) -> None:
+        # sending typing state
+        await self.client.room_typing(room_id, timeout=240000)
+        # timeout 240s
+        text = await asyncio.wait_for(
+            self.askgpt.oneTimeAsk(prompt, self.chatgpt_api_endpoint, self.headers),
+            timeout=240,
+        )
+
+        text = text.strip()
+        await send_room_message(
+            self.client,
+            room_id,
+            reply_message=text,
+            reply_to_event_id="",
+            sender_id=sender_id,
+            user_message=raw_user_message,
+            markdown_formatted=self.markdown_formatted,
+        )
+
+    # !bing command
+    async def bing(
+        self, room_id, reply_to_event_id, prompt, sender_id, raw_user_message
+    ) -> None:
+        # sending typing state
+        await self.client.room_typing(room_id, timeout=180000)
+        # timeout 240s
+        text = await asyncio.wait_for(self.bingbot.ask_bing(prompt), timeout=240)
+
+        text = text.strip()
+        await send_room_message(
+            self.client,
+            room_id,
+            reply_message=text,
+            reply_to_event_id="",
+            sender_id=sender_id,
+            user_message=raw_user_message,
+            markdown_formatted=self.markdown_formatted,
+        )
+
+    # !bard command
+    async def bard(
+        self, room_id, reply_to_event_id, prompt, sender_id, raw_user_message
+    ) -> None:
+        # sending typing state
+        await self.client.room_typing(room_id)
+        response = await asyncio.to_thread(self.bardbot.ask, prompt)
+
+        content = str(response["content"]).strip()
+        await send_room_message(
+            self.client,
+            room_id,
+            reply_message=content,
+            reply_to_event_id="",
+            sender_id=sender_id,
+            user_message=raw_user_message,
+            markdown_formatted=self.markdown_formatted,
+        )
+
+    # !lc command
+    async def lc(
+        self, room_id, reply_to_event_id, prompt, sender_id, raw_user_message
+    ) -> None:
+        # sending typing state
+        await self.client.room_typing(room_id)
+        if self.flowise_api_key is not None:
+            headers = {"Authorization": f"Bearer {self.flowise_api_key}"}
+            response = await asyncio.to_thread(
+                flowise_query, self.flowise_api_url, prompt, headers
+            )
+        else:
+            response = await asyncio.to_thread(
+                flowise_query, self.flowise_api_url, prompt
+            )
+        await send_room_message(
+            self.client,
+            room_id,
+            reply_message=response,
+            reply_to_event_id="",
+            sender_id=sender_id,
+            user_message=raw_user_message,
+            markdown_formatted=self.markdown_formatted,
+        )
+
+    # !talk command
+    async def talk(
+        self, room_id, reply_to_event_id, prompt, sender_id, raw_user_message
+    ) -> None:
+        if self.pandora_data[sender_id]["conversation_id"] is not None:
+            data = {
+                "prompt": prompt,
+                "model": self.pandora_api_model,
+                "parent_message_id": self.pandora_data[sender_id]["parent_message_id"],
+                "conversation_id": self.pandora_data[sender_id]["conversation_id"],
+                "stream": False,
+            }
+        else:
+            data = {
+                "prompt": prompt,
+                "model": self.pandora_api_model,
+                "parent_message_id": self.pandora_data[sender_id]["parent_message_id"],
+                "stream": False,
+            }
+        # sending typing state
+        await self.client.room_typing(room_id)
+        response = await self.pandora.talk(data)
+        self.pandora_data[sender_id]["conversation_id"] = response["conversation_id"]
+        self.pandora_data[sender_id]["parent_message_id"] = response["message"]["id"]
+        content = response["message"]["content"]["parts"][0]
+        if self.pandora_data[sender_id]["first_time"]:
+            self.pandora_data[sender_id]["first_time"] = False
+            data = {
+                "model": self.pandora_api_model,
+                "message_id": self.pandora_data[sender_id]["parent_message_id"],
+            }
+            await self.pandora.gen_title(
+                data, self.pandora_data[sender_id]["conversation_id"]
+            )
+        await send_room_message(
+            self.client,
+            room_id,
+            reply_message=content,
+            reply_to_event_id="",
+            sender_id=sender_id,
+            user_message=raw_user_message,
+            markdown_formatted=self.markdown_formatted,
+        )
+
+    # !goon command
+    async def goon(
+        self, room_id, reply_to_event_id, sender_id, raw_user_message
+    ) -> None:
+        # sending typing state
+        await self.client.room_typing(room_id)
+        data = {
+            "model": self.pandora_api_model,
+            "parent_message_id": self.pandora_data[sender_id]["parent_message_id"],
+            "conversation_id": self.pandora_data[sender_id]["conversation_id"],
+            "stream": False,
+        }
+        response = await self.pandora.goon(data)
+        self.pandora_data[sender_id]["conversation_id"] = response["conversation_id"]
+        self.pandora_data[sender_id]["parent_message_id"] = response["message"]["id"]
+        content = response["message"]["content"]["parts"][0]
+        await send_room_message(
+            self.client,
+            room_id,
+            reply_message=content,
+            reply_to_event_id="",
+            sender_id=sender_id,
+            user_message=raw_user_message,
+            markdown_formatted=self.markdown_formatted,
+        )
+
+    # !new command
+    async def new(
+        self, room_id, reply_to_event_id, sender_id, raw_user_message
+    ) -> None:
+        self.pandora_init(sender_id)
+        content = "New conversation created, please use !talk to start chatting!"
+        await send_room_message(
+            self.client,
+            room_id,
+            reply_message=content,
+            reply_to_event_id="",
+            sender_id=sender_id,
+            user_message=raw_user_message,
+            markdown_formatted=self.markdown_formatted,
+        )
+
+    # !pic command
+    async def pic(self, room_id, prompt):
+        await self.client.room_typing(room_id, timeout=180000)
+        # generate image
+        links = await self.imageGen.get_images(prompt)
+        image_path_list = await self.imageGen.save_images(
+            links, "images", self.output_four_images
+        )
+        # send image
+        for image_path in image_path_list:
+            await send_room_image(self.client, room_id, image_path)
+        await self.client.room_typing(room_id, typing_state=False)
+
+    # !help command
+    async def help(self, room_id):
+        help_info = (
+            "!gpt [prompt], generate response without context conversation\n"
+            + "!chat [prompt], chat with context conversation\n"
+            + "!bing [prompt], chat with context conversation powered by Bing AI\n"
+            + "!bard [prompt], chat with Google's Bard\n"
+            + "!pic [prompt], Image generation by Microsoft Bing\n"
+            + "!talk [content], talk using chatgpt web (pandora)\n"
+            + "!goon, continue the incomplete conversation (pandora)\n"
+            + "!new, start a new conversation (pandora)\n"
+            + "!lc [prompt], chat using langchain api\n"
+            + "!help, help message"
+        )  # noqa: E501
+
+        await send_room_message(self.client, room_id, reply_message=help_info)
+
+    # bot login
+    async def login(self) -> None:
+        if self.access_token is not None:
+            logger.info("Login via access_token")
+        else:
+            logger.info("Login via password")
+            try:
+                resp = await self.client.login(password=self.password)
+                if not isinstance(resp, LoginResponse):
+                    logger.error("Login Failed")
+                    sys.exit(1)
+            except Exception as e:
+                logger.error(f"Error: {e}", exc_info=True)
+
+    # import keys
+    async def import_keys(self):
+        resp = await self.client.import_keys(
+            self.import_keys_path, self.import_keys_password
+        )
+        if isinstance(resp, EncryptionError):
+            logger.error(f"import_keys failed with {resp}")
+        else:
+            logger.info(
+                "import_keys success, please remove import_keys configuration!!!"
+            )
+
+    # sync messages in the room
+    async def sync_forever(self, timeout=30000, full_state=True) -> None:
+        await self.client.sync_forever(timeout=timeout, full_state=full_state)

compose.yaml

@@ -11,14 +11,31 @@ services:
     volumes:
       # use env file or config.json
       # - ./config.json:/app/config.json
-      # use touch to create empty db file, for persist database only
-      # manage_db(can be ignored) is for langchain agent, sync_db is for matrix sync database
-      - ./sync_db:/app/sync_db
-      # - ./manage_db:/app/manage_db
+      # use touch to create an empty file db, for persist database only
+      - ./db:/app/db
       # import_keys path
       # - ./element-keys.txt:/app/element-keys.txt
     networks:
       - matrix_network
+  # api:
+  # # bing api
+  #   image: hibobmaster/node-chatgpt-api:latest
+  #   container_name: node-chatgpt-api
+  #   restart: unless-stopped
+  #   volumes:
+  #     - ./settings.js:/var/chatgpt-api/settings.js
+  #   networks:
+  #     - matrix_network
+
+  # pandora:
+  #   image: pengzhile/pandora
+  #   container_name: pandora
+  #   restart: unless-stopped
+  #   environment:
+  #     - PANDORA_ACCESS_TOKEN=xxxxxxxxxxxxxx
+  #     - PANDORA_SERVER=0.0.0.0:8008
+  #   networks:
+  #     - matrix_network
 
 networks:
   matrix_network:

config.json.example

@@ -1,7 +0,0 @@
-{
-  "homeserver": "https://matrix-client.matrix.org",
-  "user_id": "@lullap:xxxxx.org",
-  "password": "xxxxxxxxxxxxxxxxxx",
-  "device_id": "MatrixChatGPTBot",
-  "openai_api_key": "xxxxxxxxxxxxxxxxxxxxxxxx"
-}

config.json.sample

@@ -0,0 +1,21 @@
+{
+  "homeserver": "https://matrix.qqs.tw",
+  "user_id": "@lullap:xxxxx.org",
+  "password": "xxxxxxxxxxxxxxxxxx",
+  "device_id": "ECYEOKVPLG",
+  "room_id": "!FYCmBSkCRUNvZDBaDQ:matrix.qqs.tw",
+  "api_key": "xxxxxxxxxxxxxxxxxxxxxxxx",
+  "bing_api_endpoint": "http://api:3000/conversation",
+  "jailbreakEnabled": true,
+  "access_token": "xxxxxxx",
+  "bard_token": "xxxxxxx",
+  "bing_auth_cookie": "xxxxxxxxxxx",
+  "markdown_formatted": true,
+  "output_four_images": true,
+  "import_keys_path": "element-keys.txt",
+  "import_keys_password": "xxxxxxxxx",
+  "flowise_api_url": "http://localhost:3000/api/v1/prediction/6deb3c89-45bf-4ac4-a0b0-b2d5ef249d21",
+  "flowise_api_key": "U3pe0bbVDWOyoJtsDzFJjRvHKTP3FRjODwuM78exC3A=",
+  "pandora_api_endpoint": "http://127.0.0.1:8008",
+  "pandora_api_model": "text-davinci-002-render-sha-mobile"
+}

flowise.py

@@ -0,0 +1,21 @@
+import requests
+
+
+def flowise_query(api_url: str, prompt: str, headers: dict = None) -> str:
+    """
+    Sends a query to the Flowise API and returns the response.
+
+    Args:
+        api_url (str): The URL of the Flowise API.
+        prompt (str): The question to ask the API.
+
+    Returns:
+        str: The response from the API.
+    """
+    if headers:
+        response = requests.post(
+            api_url, json={"question": prompt}, headers=headers, timeout=120
+        )
+    else:
+        response = requests.post(api_url, json={"question": prompt}, timeout=120)
+    return response.text

full-config.json.example

@@ -1,29 +0,0 @@
-{
-    "homeserver": "https://matrix-client.matrix.org",
-    "user_id": "@lullap:xxxxx.org",
-    "password": "xxxxxxxxxxxxxxxxxx",
-    "access_token": "xxxxxxxxxxxxxx",
-    "device_id": "MatrixChatGPTBot",
-    "room_id": "!xxxxxxxxxxxxxxxxxxxxxx:xxxxx.org",
-    "import_keys_path": "element-keys.txt",
-    "import_keys_password": "xxxxxxxxxxxxxxxxxxxx",
-    "openai_api_key": "xxxxxxxxxxxxxxxxxxxxxxxx",
-    "gpt_api_endpoint": "https://api.openai.com/v1/chat/completions",
-    "gpt_model": "gpt-3.5-turbo",
-    "max_tokens": 4000,
-    "top_p": 1.0,
-    "presence_penalty": 0.0,
-    "frequency_penalty": 0.0,
-    "reply_count": 1,
-    "temperature": 0.8,
-    "system_prompt": "You are ChatGPT,  a large language model trained by OpenAI. Respond conversationally",
-    "lc_admin": ["@admin:xxxxx.org"],
-    "image_generation_endpoint": "http://localai:8080/v1/images/generations",
-    "image_generation_backend": "localai",
-    "image_generation_size": "512x512",
-    "sdwui_steps": 20,
-    "sdwui_sampler_name": "Euler a",
-    "sdwui_cfg_scale": 7,
-    "image_format": "webp",
-    "timeout": 120.0
-}

log.py

@@ -1,8 +1,4 @@
 import logging
-import os
-from pathlib import Path
-
-log_path = Path(os.path.dirname(__file__)).parent / "bot.log"
 
 
 def getlogger():
@@ -13,19 +9,18 @@ def getlogger():
         # create handlers
         warn_handler = logging.StreamHandler()
         info_handler = logging.StreamHandler()
-        error_handler = logging.FileHandler("bot.log", mode="a")
+        error_handler = logging.FileHandler('bot.log', mode='a')
         warn_handler.setLevel(logging.WARNING)
         error_handler.setLevel(logging.ERROR)
         info_handler.setLevel(logging.INFO)
 
         # create formatters
         warn_format = logging.Formatter(
-            "%(asctime)s - %(funcName)s - %(levelname)s - %(message)s",
-        )
+            '%(asctime)s - %(funcName)s - %(levelname)s - %(message)s')
         error_format = logging.Formatter(
-            "%(asctime)s - %(name)s - %(funcName)s - %(levelname)s - %(message)s",
-        )
-        info_format = logging.Formatter("%(asctime)s - %(levelname)s - %(message)s")
+            '%(asctime)s - %(name)s - %(funcName)s - %(levelname)s - %(message)s')
+        info_format = logging.Formatter(
+            '%(asctime)s - %(levelname)s - %(message)s')
 
         # set formatter
         warn_handler.setFormatter(warn_format)

main.py

@@ -0,0 +1,83 @@
+import asyncio
+import json
+import os
+from bot import Bot
+from log import getlogger
+
+logger = getlogger()
+
+
+async def main():
+    need_import_keys = False
+    if os.path.exists("config.json"):
+        fp = open("config.json", "r", encoding="utf8")
+        config = json.load(fp)
+
+        matrix_bot = Bot(
+            homeserver=config.get("homeserver"),
+            user_id=config.get("user_id"),
+            password=config.get("password"),
+            device_id=config.get("device_id"),
+            room_id=config.get("room_id"),
+            api_key=config.get("api_key"),
+            bing_api_endpoint=config.get("bing_api_endpoint"),
+            access_token=config.get("access_token"),
+            bard_token=config.get("bard_token"),
+            jailbreakEnabled=config.get("jailbreakEnabled"),
+            bing_auth_cookie=config.get("bing_auth_cookie"),
+            markdown_formatted=config.get("markdown_formatted"),
+            output_four_images=config.get("output_four_images"),
+            import_keys_path=config.get("import_keys_path"),
+            import_keys_password=config.get("import_keys_password"),
+            flowise_api_url=config.get("flowise_api_url"),
+            flowise_api_key=config.get("flowise_api_key"),
+            pandora_api_endpoint=config.get("pandora_api_endpoint"),
+            pandora_api_model=config.get("pandora_api_model"),
+        )
+        if (
+            config.get("import_keys_path")
+            and config.get("import_keys_password") is not None
+        ):
+            need_import_keys = True
+
+    else:
+        matrix_bot = Bot(
+            homeserver=os.environ.get("HOMESERVER"),
+            user_id=os.environ.get("USER_ID"),
+            password=os.environ.get("PASSWORD"),
+            device_id=os.environ.get("DEVICE_ID"),
+            room_id=os.environ.get("ROOM_ID"),
+            api_key=os.environ.get("OPENAI_API_KEY"),
+            bing_api_endpoint=os.environ.get("BING_API_ENDPOINT"),
+            access_token=os.environ.get("ACCESS_TOKEN"),
+            bard_token=os.environ.get("BARD_TOKEN"),
+            jailbreakEnabled=os.environ.get("JAILBREAKENABLED", "false").lower()
+            in ("true", "1", "t"),
+            bing_auth_cookie=os.environ.get("BING_AUTH_COOKIE"),
+            markdown_formatted=os.environ.get("MARKDOWN_FORMATTED", "false").lower()
+            in ("true", "1", "t"),
+            output_four_images=os.environ.get("OUTPUT_FOUR_IMAGES", "false").lower()
+            in ("true", "1", "t"),
+            import_keys_path=os.environ.get("IMPORT_KEYS_PATH"),
+            import_keys_password=os.environ.get("IMPORT_KEYS_PASSWORD"),
+            flowise_api_url=os.environ.get("FLOWISE_API_URL"),
+            flowise_api_key=os.environ.get("FLOWISE_API_KEY"),
+            pandora_api_endpoint=os.environ.get("PANDORA_API_ENDPOINT"),
+            pandora_api_model=os.environ.get("PANDORA_API_MODEL"),
+        )
+        if (
+            os.environ.get("IMPORT_KEYS_PATH")
+            and os.environ.get("IMPORT_KEYS_PASSWORD") is not None
+        ):
+            need_import_keys = True
+
+    await matrix_bot.login()
+    if need_import_keys:
+        logger.info("start import_keys process, this may take a while...")
+        await matrix_bot.import_keys()
+    await matrix_bot.sync_forever(timeout=30000, full_state=True)
+
+
+if __name__ == "__main__":
+    logger.info("matrix chatgpt bot start.....")
+    asyncio.run(main())

pandora.py

@@ -0,0 +1,106 @@
+# https://github.com/pengzhile/pandora/blob/master/doc/HTTP-API.md
+import uuid
+import aiohttp
+import asyncio
+
+
+class Pandora:
+    def __init__(self, api_endpoint: str, clientSession: aiohttp.ClientSession) -> None:
+        self.api_endpoint = api_endpoint.rstrip("/")
+        self.session = clientSession
+
+    async def __aenter__(self):
+        return self
+
+    async def __aexit__(self, exc_type, exc_val, exc_tb):
+        await self.session.close()
+
+    async def gen_title(self, data: dict, conversation_id: str) -> None:
+        """
+        data = {
+            "model": "",
+            "message_id": "",
+        }
+        :param data: dict
+        :param conversation_id: str
+        :return: None
+        """
+        api_endpoint = (
+            self.api_endpoint + f"/api/conversation/gen_title/{conversation_id}"
+        )
+        async with self.session.post(api_endpoint, json=data) as resp:
+            return await resp.json()
+
+    async def talk(self, data: dict) -> None:
+        api_endpoint = self.api_endpoint + "/api/conversation/talk"
+        """
+        data = {
+            "prompt": "",
+            "model": "",
+            "parent_message_id": "",
+            "conversation_id": "", # ignore at the first time
+            "stream": True,
+        }
+        :param data: dict
+        :return: None
+        """
+        data["message_id"] = str(uuid.uuid4())
+        async with self.session.post(api_endpoint, json=data) as resp:
+            return await resp.json()
+
+    async def goon(self, data: dict) -> None:
+        """
+        data = {
+            "model": "",
+            "parent_message_id": "",
+            "conversation_id": "",
+            "stream": True,
+        }
+        """
+        api_endpoint = self.api_endpoint + "/api/conversation/goon"
+        async with self.session.post(api_endpoint, json=data) as resp:
+            return await resp.json()
+
+
+async def test():
+    model = "text-davinci-002-render-sha-mobile"
+    api_endpoint = "http://127.0.0.1:8008"
+    async with aiohttp.ClientSession() as session:
+        client = Pandora(api_endpoint, session)
+    conversation_id = None
+    parent_message_id = str(uuid.uuid4())
+    first_time = True
+    async with client:
+        while True:
+            prompt = input("BobMaster: ")
+            if conversation_id:
+                data = {
+                    "prompt": prompt,
+                    "model": model,
+                    "parent_message_id": parent_message_id,
+                    "conversation_id": conversation_id,
+                    "stream": False,
+                }
+            else:
+                data = {
+                    "prompt": prompt,
+                    "model": model,
+                    "parent_message_id": parent_message_id,
+                    "stream": False,
+                }
+            response = await client.talk(data)
+            conversation_id = response["conversation_id"]
+            parent_message_id = response["message"]["id"]
+            content = response["message"]["content"]["parts"][0]
+            print("ChatGPT: " + content + "\n")
+            if first_time:
+                first_time = False
+                data = {
+                    "model": model,
+                    "message_id": parent_message_id,
+                }
+                response = await client.gen_title(data, conversation_id)
+
+
+if __name__ == "__main__":
+    asyncio.run(test())

requirements-dev.txt

@@ -1,9 +0,0 @@
-aiofiles
-httpx
-Markdown
-matrix-nio[e2e]
-Pillow
-tiktoken
-tenacity
-python-magic
-pytest

requirements.txt

@@ -1,8 +1,51 @@
-aiofiles
-httpx
-Markdown
-matrix-nio[e2e]
-Pillow
-tiktoken
-tenacity
-python-magic
+aiofiles==23.1.0
+aiohttp==3.8.4
+aiohttp-socks==0.7.1
+aiosignal==1.3.1
+anyio==3.6.2
+async-timeout==4.0.2
+atomicwrites==1.4.1
+attrs==22.2.0
+blobfile==2.0.1
+cachetools==4.2.4
+certifi==2022.12.7
+cffi==1.15.1
+charset-normalizer==3.1.0
+cryptography==40.0.1
+filelock==3.11.0
+frozenlist==1.3.3
+future==0.18.3
+h11==0.14.0
+h2==4.1.0
+hpack==4.0.0
+httpcore==0.16.3
+httpx==0.23.3
+hyperframe==6.0.1
+idna==3.4
+jsonschema==4.17.3
+Logbook==1.5.3
+lxml==4.9.2
+Markdown==3.4.3
+matrix-nio[e2e]==0.20.2
+multidict==6.0.4
+peewee==3.16.0
+Pillow==9.5.0
+pycparser==2.21
+pycryptodome==3.17
+pycryptodomex==3.17
+pyrsistent==0.19.3
+python-cryptography-fernet-wrapper==1.0.4
+python-magic==0.4.27
+python-olm==3.1.3
+python-socks==2.2.0
+regex==2023.3.23
+requests==2.31.0
+rfc3986==1.5.0
+six==1.16.0
+sniffio==1.3.0
+tiktoken==0.3.3
+toml==0.10.2
+unpaddedbase64==2.1.0
+urllib3==1.26.15
+wcwidth==0.2.6
+yarl==1.8.2

send_image.py

@@ -3,13 +3,11 @@ code derived from:
 https://matrix-nio.readthedocs.io/en/latest/examples.html#sending-an-image
 """
 import os
-
 import aiofiles.os
 import magic
-from log import getlogger
-from nio import AsyncClient
-from nio import UploadResponse
 from PIL import Image
+from nio import AsyncClient, UploadResponse
+from log import getlogger
 
 logger = getlogger()
 
@@ -33,13 +31,13 @@ async def send_room_image(client: AsyncClient, room_id: str, image: str):
             filesize=file_stat.st_size,
         )
     if not isinstance(resp, UploadResponse):
-        logger.warning(f"Failed to upload image. Failure response: {resp}")
+        logger.warning(f"Failed to generate image. Failure response: {resp}")
         await client.room_send(
             room_id,
             message_type="m.room.message",
             content={
                 "msgtype": "m.text",
-                "body": f"Failed to upload image. Failure response: {resp}",
+                "body": f"Failed to generate image. Failure response: {resp}",
             },
             ignore_unverified_devices=True,
         )

send_message.py

@@ -0,0 +1,67 @@
+from nio import AsyncClient
+import re
+import markdown
+
+
+async def send_room_message(
+    client: AsyncClient,
+    room_id: str,
+    reply_message: str,
+    sender_id: str = "",
+    user_message: str = "",
+    reply_to_event_id: str = "",
+    markdown_formatted: bool = False,
+) -> None:
+    NORMAL_BODY = content = {
+        "msgtype": "m.text",
+        "body": reply_message,
+    }
+    if reply_to_event_id == "":
+        if markdown_formatted:
+            # only format message contains multiline codes, *, |
+            if re.search(r"```|\*|\|", reply_message) is not None:
+                content = {
+                    "msgtype": "m.text",
+                    "body": reply_message,
+                    "format": "org.matrix.custom.html",
+                    "formatted_body": markdown.markdown(
+                        reply_message, extensions=["nl2br", "tables", "fenced_code"]
+                    ),
+                }
+            else:
+                content = NORMAL_BODY
+
+        else:
+            content = NORMAL_BODY
+    else:
+        body = r"> <" + sender_id + r"> " + user_message + r"\n\n" + reply_message
+        format = r"org.matrix.custom.html"
+        formatted_body = (
+            r'<mx-reply><blockquote><a href="https://matrix.to/#/'
+            + room_id
+            + r"/"
+            + reply_to_event_id
+            + r'">In reply to</a> <a href="https://matrix.to/#/'
+            + sender_id
+            + r'">'
+            + sender_id
+            + r"</a><br>"
+            + user_message
+            + r"</blockquote></mx-reply>"
+            + reply_message
+        )
+
+        content = {
+            "msgtype": "m.text",
+            "body": body,
+            "format": format,
+            "formatted_body": formatted_body,
+            "m.relates_to": {"m.in_reply_to": {"event_id": reply_to_event_id}},
+        }
+    await client.room_send(
+        room_id,
+        message_type="m.room.message",
+        content=content,
+        ignore_unverified_devices=True,
+    )
+    await client.room_typing(room_id, typing_state=False)

src/flowise.py

@@ -1,41 +0,0 @@
-import httpx
-
-
-async def flowise_query(
-    api_url: str, prompt: str, session: httpx.AsyncClient, headers: dict = None
-) -> str:
-    """
-    Sends a query to the Flowise API and returns the response.
-
-    Args:
-        api_url (str): The URL of the Flowise API.
-        prompt (str): The question to ask the API.
-        session (httpx.AsyncClient): The httpx session to use.
-        headers (dict, optional): The headers to use. Defaults to None.
-
-    Returns:
-        str: The response from the API.
-    """
-    if headers:
-        response = await session.post(
-            api_url,
-            json={"question": prompt},
-            headers=headers,
-        )
-    else:
-        response = await session.post(api_url, json={"question": prompt})
-    return response.text
-
-
-async def test():
-    async with httpx.AsyncClient() as session:
-        api_url = "http://127.0.0.1:3000/api/v1/prediction/683f9ea8-e670-4d51-b657-0886eab9cea1"
-        prompt = "What is the capital of France?"
-        response = await flowise_query(api_url, prompt, session)
-        print(response)
-
-
-if __name__ == "__main__":
-    import asyncio
-
-    asyncio.run(test())

src/imagegen.py

@@ -1,106 +0,0 @@
-import httpx
-from pathlib import Path
-import uuid
-import base64
-import io
-from PIL import Image
-
-
-async def get_images(
-    aclient: httpx.AsyncClient,
-    url: str,
-    prompt: str,
-    backend_type: str,
-    output_path: str,
-    **kwargs,
-) -> list[str]:
-    timeout = kwargs.get("timeout", 180.0)
-    if backend_type == "openai":
-        resp = await aclient.post(
-            url,
-            headers={
-                "Content-Type": "application/json",
-                "Authorization": f"Bearer {kwargs.get('api_key')}",
-            },
-            json={
-                "prompt": prompt,
-                "n": kwargs.get("n", 1),
-                "size": kwargs.get("size", "512x512"),
-                "response_format": "b64_json",
-            },
-            timeout=timeout,
-        )
-        if resp.status_code == 200:
-            b64_datas = []
-            for data in resp.json()["data"]:
-                b64_datas.append(data["b64_json"])
-            return save_images_b64(b64_datas, output_path, **kwargs)
-        else:
-            raise Exception(
-                f"{resp.status_code} {resp.reason_phrase} {resp.text}",
-            )
-    elif backend_type == "sdwui":
-        resp = await aclient.post(
-            url,
-            headers={
-                "Content-Type": "application/json",
-            },
-            json={
-                "prompt": prompt,
-                "sampler_name": kwargs.get("sampler_name", "Euler a"),
-                "cfg_scale": kwargs.get("cfg_scale", 7),
-                "batch_size": kwargs.get("n", 1),
-                "steps": kwargs.get("steps", 20),
-                "width": kwargs.get("width", 512),
-                "height": kwargs.get("height", 512),
-            },
-            timeout=timeout,
-        )
-        if resp.status_code == 200:
-            b64_datas = resp.json()["images"]
-            return save_images_b64(b64_datas, output_path, **kwargs)
-        else:
-            raise Exception(
-                f"{resp.status_code} {resp.reason_phrase} {resp.text}",
-            )
-    elif backend_type == "localai":
-        resp = await aclient.post(
-            url,
-            headers={
-                "Content-Type": "application/json",
-                "Authorization": f"Bearer {kwargs.get('api_key')}",
-            },
-            json={
-                "prompt": prompt,
-                "size": kwargs.get("size", "512x512"),
-            },
-            timeout=timeout,
-        )
-        if resp.status_code == 200:
-            image_url = resp.json()["data"][0]["url"]
-            return await save_image_url(image_url, aclient, output_path, **kwargs)
-
-
-def save_images_b64(b64_datas: list[str], path: Path, **kwargs) -> list[str]:
-    images_path_list = []
-    for b64_data in b64_datas:
-        image_path = path / (
-            str(uuid.uuid4()) + "." + kwargs.get("image_format", "jpeg")
-        )
-        img = Image.open(io.BytesIO(base64.decodebytes(bytes(b64_data, "utf-8"))))
-        img.save(image_path)
-        images_path_list.append(image_path)
-    return images_path_list
-
-
-async def save_image_url(
-    url: str, aclient: httpx.AsyncClient, path: Path, **kwargs
-) -> list[str]:
-    images_path_list = []
-    r = await aclient.get(url)
-    image_path = path / (str(uuid.uuid4()) + "." + kwargs.get("image_format", "jpeg"))
-    if r.status_code == 200:
-        img = Image.open(io.BytesIO(r.content))
-        img.save(image_path)
-        images_path_list.append(image_path)
-    return images_path_list

src/lc_manager.py

@@ -1,200 +0,0 @@
-import sqlite3
-import sys
-from log import getlogger
-
-logger = getlogger()
-
-
-class LCManager:
-    def __init__(self):
-        try:
-            self.conn = sqlite3.connect("manage_db")
-            self.c = self.conn.cursor()
-            self.c.execute(
-                """
-                CREATE TABLE IF NOT EXISTS lc_commands (
-                    command_id INTEGER PRIMARY KEY AUTOINCREMENT,
-                    username TEXT NOT NULL,
-                    agent TEXT NOT NULL,
-                    api_url TEXT NOT NULL,
-                    api_key TEXT,
-                    permission INTEGER NOT NULL
-                )
-                """
-            )
-            self.conn.commit()
-        except Exception as e:
-            logger.error(e, exc_info=True)
-            sys.exit(1)
-
-    def add_command(
-        self,
-        username: str,
-        agent: str,
-        api_url: str,
-        api_key: str = None,
-        permission: int = 0,
-    ) -> None:
-        # check if username and agent already exists
-        self.c.execute(
-            """
-            SELECT username, agent FROM lc_commands
-            WHERE username = ? AND agent = ?
-            """,
-            (username, agent),
-        )
-        if self.c.fetchone() is not None:
-            raise Exception("agent already exists")
-
-        self.c.execute(
-            """
-            INSERT INTO lc_commands (username, agent, api_url, api_key, permission)
-            VALUES (?, ?, ?, ?, ?)
-            """,
-            (username, agent, api_url, api_key, permission),
-        )
-        self.conn.commit()
-
-    def get_command_api_url(self, username: str, agent: str) -> list[any]:
-        self.c.execute(
-            """
-            SELECT api_url FROM lc_commands
-            WHERE username = ? AND agent = ?
-            """,
-            (username, agent),
-        )
-        return self.c.fetchall()
-
-    def get_command_api_key(self, username: str, agent: str) -> list[any]:
-        self.c.execute(
-            """
-            SELECT api_key FROM lc_commands
-            WHERE username = ? AND agent = ?
-            """,
-            (username, agent),
-        )
-        return self.c.fetchall()
-
-    def get_command_permission(self, username: str, agent: str) -> list[any]:
-        self.c.execute(
-            """
-            SELECT permission FROM lc_commands
-            WHERE username = ? AND agent = ?
-            """,
-            (username, agent),
-        )
-        return self.c.fetchall()
-
-    def get_command_agent(self, username: str) -> list[any]:
-        self.c.execute(
-            """
-            SELECT agent FROM lc_commands
-            WHERE username = ?
-            """,
-            (username,),
-        )
-        return self.c.fetchall()
-
-    def get_specific_by_username(self, username: str) -> list[any]:
-        self.c.execute(
-            """
-            SELECT * FROM lc_commands
-            WHERE username = ?
-            """,
-            (username,),
-        )
-        return self.c.fetchall()
-
-    def get_specific_by_agent(self, agent: str) -> list[any]:
-        self.c.execute(
-            """
-            SELECT * FROM lc_commands
-            WHERE agent = ?
-            """,
-            (agent,),
-        )
-        return self.c.fetchall()
-
-    def get_all(self) -> list[any]:
-        self.c.execute(
-            """
-            SELECT * FROM lc_commands
-            """
-        )
-        return self.c.fetchall()
-
-    def update_command_api_url(self, username: str, agent: str, api_url: str) -> None:
-        self.c.execute(
-            """
-            UPDATE lc_commands
-            SET api_url = ?
-            WHERE username = ? AND agent = ?
-            """,
-            (api_url, username, agent),
-        )
-        self.conn.commit()
-
-    def update_command_api_key(self, username: str, agent: str, api_key: str) -> None:
-        self.c.execute(
-            """
-            UPDATE lc_commands
-            SET api_key = ?
-            WHERE username = ? AND agent = ?
-            """,
-            (api_key, username, agent),
-        )
-        self.conn.commit()
-
-    def update_command_permission(
-        self, username: str, agent: str, permission: int
-    ) -> None:
-        self.c.execute(
-            """
-            UPDATE lc_commands
-            SET permission = ?
-            WHERE username = ? AND agent = ?
-            """,
-            (permission, username, agent),
-        )
-        self.conn.commit()
-
-    def update_command_agent(self, username: str, agent: str, api_url: str) -> None:
-        # check if agent already exists
-        self.c.execute(
-            """
-            SELECT agent FROM lc_commands
-            WHERE agent = ?
-            """,
-            (agent,),
-        )
-        if self.c.fetchone() is not None:
-            raise Exception("agent already exists")
-        self.c.execute(
-            """
-            UPDATE lc_commands
-            SET agent = ?
-            WHERE username = ? AND api_url = ?
-            """,
-            (agent, username, api_url),
-        )
-        self.conn.commit()
-
-    def delete_command(self, username: str, agent: str) -> None:
-        self.c.execute(
-            """
-            DELETE FROM lc_commands
-            WHERE username = ? AND agent = ?
-            """,
-            (username, agent),
-        )
-        self.conn.commit()
-
-    def delete_commands(self, username: str) -> None:
-        self.c.execute(
-            """
-            DELETE FROM lc_commands
-            WHERE username = ?
-            """,
-            (username,),
-        )
-        self.conn.commit()

src/main.py

@@ -1,121 +0,0 @@
-import asyncio
-import json
-import os
-from pathlib import Path
-import signal
-import sys
-
-from bot import Bot
-from log import getlogger
-
-logger = getlogger()
-
-
-async def main():
-    need_import_keys = False
-    config_path = Path(os.path.dirname(__file__)).parent / "config.json"
-    if os.path.isfile(config_path):
-        try:
-            fp = open(config_path, encoding="utf8")
-            config = json.load(fp)
-        except Exception:
-            logger.error("config.json load error, please check the file")
-            sys.exit(1)
-
-        matrix_bot = Bot(
-            homeserver=config.get("homeserver"),
-            user_id=config.get("user_id"),
-            password=config.get("password"),
-            access_token=config.get("access_token"),
-            device_id=config.get("device_id"),
-            room_id=config.get("room_id"),
-            import_keys_path=config.get("import_keys_path"),
-            import_keys_password=config.get("import_keys_password"),
-            openai_api_key=config.get("openai_api_key"),
-            gpt_api_endpoint=config.get("gpt_api_endpoint"),
-            gpt_model=config.get("gpt_model"),
-            max_tokens=config.get("max_tokens"),
-            top_p=config.get("top_p"),
-            presence_penalty=config.get("presence_penalty"),
-            frequency_penalty=config.get("frequency_penalty"),
-            reply_count=config.get("reply_count"),
-            system_prompt=config.get("system_prompt"),
-            temperature=config.get("temperature"),
-            lc_admin=config.get("lc_admin"),
-            image_generation_endpoint=config.get("image_generation_endpoint"),
-            image_generation_backend=config.get("image_generation_backend"),
-            image_generation_size=config.get("image_generation_size"),
-            sdwui_steps=config.get("sdwui_steps"),
-            sdwui_sampler_name=config.get("sdwui_sampler_name"),
-            sdwui_cfg_scale=config.get("sdwui_cfg_scale"),
-            image_format=config.get("image_format"),
-            timeout=config.get("timeout"),
-        )
-        if (
-            config.get("import_keys_path")
-            and config.get("import_keys_password") is not None
-        ):
-            need_import_keys = True
-
-    else:
-        matrix_bot = Bot(
-            homeserver=os.environ.get("HOMESERVER"),
-            user_id=os.environ.get("USER_ID"),
-            password=os.environ.get("PASSWORD"),
-            access_token=os.environ.get("ACCESS_TOKEN"),
-            device_id=os.environ.get("DEVICE_ID"),
-            room_id=os.environ.get("ROOM_ID"),
-            import_keys_path=os.environ.get("IMPORT_KEYS_PATH"),
-            import_keys_password=os.environ.get("IMPORT_KEYS_PASSWORD"),
-            openai_api_key=os.environ.get("OPENAI_API_KEY"),
-            gpt_api_endpoint=os.environ.get("GPT_API_ENDPOINT"),
-            gpt_model=os.environ.get("GPT_MODEL"),
-            max_tokens=int(os.environ.get("MAX_TOKENS", 4000)),
-            top_p=float(os.environ.get("TOP_P", 1.0)),
-            presence_penalty=float(os.environ.get("PRESENCE_PENALTY", 0.0)),
-            frequency_penalty=float(os.environ.get("FREQUENCY_PENALTY", 0.0)),
-            reply_count=int(os.environ.get("REPLY_COUNT", 1)),
-            system_prompt=os.environ.get("SYSTEM_PROMPT"),
-            temperature=float(os.environ.get("TEMPERATURE", 0.8)),
-            lc_admin=os.environ.get("LC_ADMIN"),
-            image_generation_endpoint=os.environ.get("IMAGE_GENERATION_ENDPOINT"),
-            image_generation_backend=os.environ.get("IMAGE_GENERATION_BACKEND"),
-            image_generation_size=os.environ.get("IMAGE_GENERATION_SIZE"),
-            sdwui_steps=int(os.environ.get("SDWUI_STEPS", 20)),
-            sdwui_sampler_name=os.environ.get("SDWUI_SAMPLER_NAME"),
-            sdwui_cfg_scale=float(os.environ.get("SDWUI_CFG_SCALE", 7)),
-            image_format=os.environ.get("IMAGE_FORMAT"),
-            timeout=float(os.environ.get("TIMEOUT", 120.0)),
-        )
-        if (
-            os.environ.get("IMPORT_KEYS_PATH")
-            and os.environ.get("IMPORT_KEYS_PASSWORD") is not None
-        ):
-            need_import_keys = True
-
-    await matrix_bot.login()
-    if need_import_keys:
-        logger.info("start import_keys process, this may take a while...")
-        await matrix_bot.import_keys()
-
-    sync_task = asyncio.create_task(
-        matrix_bot.sync_forever(timeout=30000, full_state=True)
-    )
-
-    # handle signal interrupt
-    loop = asyncio.get_running_loop()
-    for signame in ("SIGINT", "SIGTERM"):
-        loop.add_signal_handler(
-            getattr(signal, signame),
-            lambda: asyncio.create_task(matrix_bot.close(sync_task)),
-        )
-
-    if matrix_bot.client.should_upload_keys:
-        await matrix_bot.client.keys_upload()
-
-    await sync_task
-
-
-if __name__ == "__main__":
-    logger.info("matrix chatgpt bot start.....")
-    asyncio.run(main())

src/send_message.py

@@ -1,63 +0,0 @@
-import markdown
-from log import getlogger
-from nio import AsyncClient
-
-logger = getlogger()
-
-
-async def send_room_message(
-    client: AsyncClient,
-    room_id: str,
-    reply_message: str,
-    sender_id: str = "",
-    user_message: str = "",
-    reply_to_event_id: str = "",
-) -> None:
-    if reply_to_event_id == "":
-        content = {
-            "msgtype": "m.text",
-            "body": reply_message,
-            "format": "org.matrix.custom.html",
-            "formatted_body": markdown.markdown(
-                reply_message,
-                extensions=["nl2br", "tables", "fenced_code"],
-            ),
-        }
-    else:
-        body = "> <" + sender_id + "> " + user_message + "\n\n" + reply_message
-        format = r"org.matrix.custom.html"
-        formatted_body = (
-            r'<mx-reply><blockquote><a href="https://matrix.to/#/'
-            + room_id
-            + r"/"
-            + reply_to_event_id
-            + r'">In reply to</a> <a href="https://matrix.to/#/'
-            + sender_id
-            + r'">'
-            + sender_id
-            + r"</a><br>"
-            + user_message
-            + r"</blockquote></mx-reply>"
-            + markdown.markdown(
-                reply_message,
-                extensions=["nl2br", "tables", "fenced_code"],
-            )
-        )
-
-        content = {
-            "msgtype": "m.text",
-            "body": body,
-            "format": format,
-            "formatted_body": formatted_body,
-            "m.relates_to": {"m.in_reply_to": {"event_id": reply_to_event_id}},
-        }
-    try:
-        await client.room_send(
-            room_id,
-            message_type="m.room.message",
-            content=content,
-            ignore_unverified_devices=True,
-        )
-        await client.room_typing(room_id, typing_state=False)
-    except Exception as e:
-        logger.error(e)

v3.py

@@ -1,26 +1,15 @@
 """
-Code derived from https://github.com/acheong08/ChatGPT/blob/main/src/revChatGPT/V3.py
-A simple wrapper for the official ChatGPT API
+Code derived from: https://github.com/acheong08/ChatGPT/blob/main/src/revChatGPT/V3.py
 """
+
 import json
+import os
 from typing import AsyncGenerator
-from tenacity import retry, wait_random_exponential, stop_after_attempt
 import httpx
+import requests
 import tiktoken
 
 
-ENGINES = [
-    "gpt-3.5-turbo",
-    "gpt-3.5-turbo-16k",
-    "gpt-3.5-turbo-0613",
-    "gpt-3.5-turbo-16k-0613",
-    "gpt-4",
-    "gpt-4-32k",
-    "gpt-4-0613",
-    "gpt-4-32k-0613",
-]
-
-
 class Chatbot:
     """
     Official ChatGPT API
@@ -28,48 +17,29 @@ class Chatbot:
 
     def __init__(
         self,
-        aclient: httpx.AsyncClient,
         api_key: str,
-        api_url: str = None,
-        engine: str = None,
+        engine: str = os.environ.get("GPT_ENGINE") or "gpt-3.5-turbo",
+        proxy: str = None,
         timeout: float = None,
         max_tokens: int = None,
-        temperature: float = 0.8,
+        temperature: float = 0.5,
         top_p: float = 1.0,
         presence_penalty: float = 0.0,
         frequency_penalty: float = 0.0,
         reply_count: int = 1,
-        truncate_limit: int = None,
-        system_prompt: str = None,
+        system_prompt: str = "You are ChatGPT, a large language model trained by OpenAI. Respond conversationally",
     ) -> None:
         """
         Initialize Chatbot with API key (from https://platform.openai.com/account/api-keys)
         """
-        self.engine: str = engine or "gpt-3.5-turbo"
+        self.engine: str = engine
         self.api_key: str = api_key
-        self.api_url: str = api_url or "https://api.openai.com/v1/chat/completions"
-        self.system_prompt: str = (
-            system_prompt
-            or "You are ChatGPT, \
-            a large language model trained by OpenAI. Respond conversationally"
-        )
+        self.system_prompt: str = system_prompt
         self.max_tokens: int = max_tokens or (
-            31000
-            if "gpt-4-32k" in engine
-            else 7000
-            if "gpt-4" in engine
-            else 15000
-            if "gpt-3.5-turbo-16k" in engine
-            else 4000
+            31000 if engine == "gpt-4-32k" else 7000 if engine == "gpt-4" else 4000
         )
-        self.truncate_limit: int = truncate_limit or (
-            30500
-            if "gpt-4-32k" in engine
-            else 6500
-            if "gpt-4" in engine
-            else 14500
-            if "gpt-3.5-turbo-16k" in engine
-            else 3500
+        self.truncate_limit: int = (
+            30500 if engine == "gpt-4-32k" else 6500 if engine == "gpt-4" else 3500
         )
         self.temperature: float = temperature
         self.top_p: float = top_p
@@ -77,8 +47,31 @@ class Chatbot:
         self.frequency_penalty: float = frequency_penalty
         self.reply_count: int = reply_count
         self.timeout: float = timeout
+        self.proxy = proxy
+        self.session = requests.Session()
+        self.session.proxies.update(
+            {
+                "http": proxy,
+                "https": proxy,
+            },
+        )
+        proxy = (
+            proxy or os.environ.get("all_proxy") or os.environ.get("ALL_PROXY") or None
+        )
 
-        self.aclient = aclient
+        if proxy:
+            if "socks5h" not in proxy:
+                self.aclient = httpx.AsyncClient(
+                    follow_redirects=True,
+                    proxies=proxy,
+                    timeout=timeout,
+                )
+        else:
+            self.aclient = httpx.AsyncClient(
+                follow_redirects=True,
+                proxies=proxy,
+                timeout=timeout,
+            )
 
         self.conversation: dict[str, list[dict]] = {
             "default": [
@@ -89,9 +82,6 @@ class Chatbot:
             ],
         }
 
-        if self.get_token_count("default") > self.max_tokens:
-            raise Exception("System prompt is too long")
-
     def add_to_conversation(
         self,
         message: str,
@@ -117,25 +107,29 @@ class Chatbot:
             else:
                 break
 
-    # https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb
     def get_token_count(self, convo_id: str = "default") -> int:
         """
         Get token count
         """
-        _engine = self.engine
-        if self.engine not in ENGINES:
-            # use gpt-3.5-turbo to caculate token
-            _engine = "gpt-3.5-turbo"
+        if self.engine not in [
+            "gpt-3.5-turbo",
+            "gpt-3.5-turbo-0301",
+            "gpt-4",
+            "gpt-4-0314",
+            "gpt-4-32k",
+            "gpt-4-32k-0314",
+        ]:
+            raise NotImplementedError("Unsupported engine {self.engine}")
+
         tiktoken.model.MODEL_TO_ENCODING["gpt-4"] = "cl100k_base"
 
-        encoding = tiktoken.encoding_for_model(_engine)
+        encoding = tiktoken.encoding_for_model(self.engine)
 
         num_tokens = 0
         for message in self.conversation[convo_id]:
             # every message follows <im_start>{role/name}\n{content}<im_end>\n
             num_tokens += 5
             for key, value in message.items():
-                if value:
                 num_tokens += len(encoding.encode(value))
                 if key == "name":  # if there's a name, the role is omitted
                     num_tokens += 5  # role is always required and always 1 token
@@ -148,15 +142,13 @@ class Chatbot:
         """
         return self.max_tokens - self.get_token_count(convo_id)
 
-    async def ask_stream_async(
+    def ask_stream(
         self,
         prompt: str,
         role: str = "user",
         convo_id: str = "default",
-        model: str = None,
-        pass_history: bool = True,
         **kwargs,
-    ) -> AsyncGenerator[str, None]:
+    ):
         """
         Ask a question
         """
@@ -166,13 +158,12 @@ class Chatbot:
         self.add_to_conversation(prompt, "user", convo_id=convo_id)
         self.__truncate_conversation(convo_id=convo_id)
         # Get response
-        async with self.aclient.stream(
-            "post",
-            self.api_url,
+        response = self.session.post(
+            os.environ.get("API_URL") or "https://api.openai.com/v1/chat/completions",
             headers={"Authorization": f"Bearer {kwargs.get('api_key', self.api_key)}"},
             json={
-                "model": model or self.engine,
-                "messages": self.conversation[convo_id] if pass_history else [prompt],
+                "model": self.engine,
+                "messages": self.conversation[convo_id],
                 "stream": True,
                 # kwargs
                 "temperature": kwargs.get("temperature", self.temperature),
@@ -187,18 +178,79 @@ class Chatbot:
                 ),
                 "n": kwargs.get("n", self.reply_count),
                 "user": role,
-                "max_tokens": min(
-                    self.get_max_tokens(convo_id=convo_id),
-                    kwargs.get("max_tokens", self.max_tokens),
+                "max_tokens": self.get_max_tokens(convo_id=convo_id),
+            },
+            timeout=kwargs.get("timeout", self.timeout),
+            stream=True,
+        )
+
+        response_role: str = None
+        full_response: str = ""
+        for line in response.iter_lines():
+            if not line:
+                continue
+            # Remove "data: "
+            line = line.decode("utf-8")[6:]
+            if line == "[DONE]":
+                break
+            resp: dict = json.loads(line)
+            choices = resp.get("choices")
+            if not choices:
+                continue
+            delta = choices[0].get("delta")
+            if not delta:
+                continue
+            if "role" in delta:
+                response_role = delta["role"]
+            if "content" in delta:
+                content = delta["content"]
+                full_response += content
+                yield content
+        self.add_to_conversation(full_response, response_role, convo_id=convo_id)
+
+    async def ask_stream_async(
+        self,
+        prompt: str,
+        role: str = "user",
+        convo_id: str = "default",
+        **kwargs,
+    ) -> AsyncGenerator[str, None]:
+        """
+        Ask a question
+        """
+        # Make conversation if it doesn't exist
+        if convo_id not in self.conversation:
+            self.reset(convo_id=convo_id, system_prompt=self.system_prompt)
+        self.add_to_conversation(prompt, "user", convo_id=convo_id)
+        self.__truncate_conversation(convo_id=convo_id)
+        # Get response
+        async with self.aclient.stream(
+            "post",
+            os.environ.get("API_URL") or "https://api.openai.com/v1/chat/completions",
+            headers={"Authorization": f"Bearer {kwargs.get('api_key', self.api_key)}"},
+            json={
+                "model": self.engine,
+                "messages": self.conversation[convo_id],
+                "stream": True,
+                # kwargs
+                "temperature": kwargs.get("temperature", self.temperature),
+                "top_p": kwargs.get("top_p", self.top_p),
+                "presence_penalty": kwargs.get(
+                    "presence_penalty",
+                    self.presence_penalty,
                 ),
+                "frequency_penalty": kwargs.get(
+                    "frequency_penalty",
+                    self.frequency_penalty,
+                ),
+                "n": kwargs.get("n", self.reply_count),
+                "user": role,
+                "max_tokens": self.get_max_tokens(convo_id=convo_id),
             },
             timeout=kwargs.get("timeout", self.timeout),
         ) as response:
             if response.status_code != 200:
                 await response.aread()
-                raise Exception(
-                    f"{response.status_code} {response.reason_phrase} {response.text}",
-                )
 
             response_role: str = ""
             full_response: str = ""
@@ -211,8 +263,6 @@ class Chatbot:
                 if line == "[DONE]":
                     break
                 resp: dict = json.loads(line)
-                if "error" in resp:
-                    raise Exception(f"{resp['error']}")
                 choices = resp.get("choices")
                 if not choices:
                     continue
@@ -232,8 +282,6 @@ class Chatbot:
         prompt: str,
         role: str = "user",
         convo_id: str = "default",
-        model: str = None,
-        pass_history: bool = True,
         **kwargs,
     ) -> str:
         """
@@ -243,59 +291,28 @@ class Chatbot:
             prompt=prompt,
             role=role,
             convo_id=convo_id,
-            model=model,
-            pass_history=pass_history,
             **kwargs,
         )
         full_response: str = "".join([r async for r in response])
         return full_response
 
-    async def ask_async_v2(
+    def ask(
         self,
         prompt: str,
         role: str = "user",
         convo_id: str = "default",
-        model: str = None,
-        pass_history: bool = True,
         **kwargs,
     ) -> str:
-        # Make conversation if it doesn't exist
-        if convo_id not in self.conversation:
-            self.reset(convo_id=convo_id, system_prompt=self.system_prompt)
-        self.add_to_conversation(prompt, "user", convo_id=convo_id)
-        self.__truncate_conversation(convo_id=convo_id)
-        # Get response
-        response = await self.aclient.post(
-            url=self.api_url,
-            headers={"Authorization": f"Bearer {kwargs.get('api_key', self.api_key)}"},
-            json={
-                "model": model or self.engine,
-                "messages": self.conversation[convo_id] if pass_history else [prompt],
-                # kwargs
-                "temperature": kwargs.get("temperature", self.temperature),
-                "top_p": kwargs.get("top_p", self.top_p),
-                "presence_penalty": kwargs.get(
-                    "presence_penalty",
-                    self.presence_penalty,
-                ),
-                "frequency_penalty": kwargs.get(
-                    "frequency_penalty",
-                    self.frequency_penalty,
-                ),
-                "n": kwargs.get("n", self.reply_count),
-                "user": role,
-                "max_tokens": min(
-                    self.get_max_tokens(convo_id=convo_id),
-                    kwargs.get("max_tokens", self.max_tokens),
-                ),
-            },
-            timeout=kwargs.get("timeout", self.timeout),
-        )
-        resp = response.json()
-        full_response = resp["choices"][0]["message"]["content"]
-        self.add_to_conversation(
-            full_response, resp["choices"][0]["message"]["role"], convo_id=convo_id
+        """
+        Non-streaming ask
+        """
+        response = self.ask_stream(
+            prompt=prompt,
+            role=role,
+            convo_id=convo_id,
+            **kwargs,
         )
+        full_response: str = "".join(response)
         return full_response
 
     def reset(self, convo_id: str = "default", system_prompt: str = None) -> None:
@@ -305,40 +322,3 @@ class Chatbot:
         self.conversation[convo_id] = [
             {"role": "system", "content": system_prompt or self.system_prompt},
         ]
-
-    @retry(wait=wait_random_exponential(min=2, max=5), stop=stop_after_attempt(3))
-    async def oneTimeAsk(
-        self,
-        prompt: str,
-        role: str = "user",
-        model: str = None,
-        **kwargs,
-    ) -> str:
-        response = await self.aclient.post(
-            url=self.api_url,
-            json={
-                "model": model or self.engine,
-                "messages": [
-                    {
-                        "role": role,
-                        "content": prompt,
-                    }
-                ],
-                # kwargs
-                "temperature": kwargs.get("temperature", self.temperature),
-                "top_p": kwargs.get("top_p", self.top_p),
-                "presence_penalty": kwargs.get(
-                    "presence_penalty",
-                    self.presence_penalty,
-                ),
-                "frequency_penalty": kwargs.get(
-                    "frequency_penalty",
-                    self.frequency_penalty,
-                ),
-                "user": role,
-            },
-            headers={"Authorization": f"Bearer {kwargs.get('api_key', self.api_key)}"},
-            timeout=kwargs.get("timeout", self.timeout),
-        )
-        resp = response.json()
-        return resp["choices"][0]["message"]["content"]