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TYPEGPT/typegpt.py

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+import requests
+import json
+from typing import *
+
+from webscout.AIutel import Optimizers
+from webscout.AIutel import Conversation
+from webscout.AIutel import AwesomePrompts
+from webscout.AIbase import Provider
+from webscout import exceptions
+
+class TypeGPT(Provider):
+    """
+    A class to interact with the TypeGPT.net API. Improved to match webscout standards.
+    """
+    url = "https://chat.typegpt.net"
+    working = True
+    supports_message_history = True
+
+    models = [
+        # OpenAI Models
+        "gpt-3.5-turbo",
+        "gpt-3.5-turbo-202201",
+        "gpt-4o",
+        "gpt-4o-2024-05-13",
+        "o1-preview",
+        
+        # Claude Models
+        "claude",
+        "claude-3-5-sonnet",
+        "claude-sonnet-3.5",
+        "claude-3-5-sonnet-20240620",
+        
+        # Meta/LLaMA Models
+        "@cf/meta/llama-2-7b-chat-fp16",
+        "@cf/meta/llama-2-7b-chat-int8",
+        "@cf/meta/llama-3-8b-instruct",
+        "@cf/meta/llama-3.1-8b-instruct",
+        "@cf/meta-llama/llama-2-7b-chat-hf-lora",
+        "llama-3.1-405b",
+        "llama-3.1-70b",
+        "llama-3.1-8b",
+        "meta-llama/Llama-2-7b-chat-hf",
+        "meta-llama/Llama-3.1-70B-Instruct",
+        "meta-llama/Llama-3.1-8B-Instruct",
+        "meta-llama/Llama-3.2-11B-Vision-Instruct",
+        "meta-llama/Llama-3.2-1B-Instruct",
+        "meta-llama/Llama-3.2-3B-Instruct",
+        "meta-llama/Llama-3.2-90B-Vision-Instruct",
+        "meta-llama/Llama-Guard-3-8B",
+        "meta-llama/Meta-Llama-3-70B-Instruct",
+        "meta-llama/Meta-Llama-3-8B-Instruct",
+        "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo",
+        "meta-llama/Meta-Llama-3.1-8B-Instruct",
+        "meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo",
+        
+        # Mistral Models
+        "mistral",
+        "mistral-large",
+        "@cf/mistral/mistral-7b-instruct-v0.1",
+        "@cf/mistral/mistral-7b-instruct-v0.2-lora",
+        "@hf/mistralai/mistral-7b-instruct-v0.2",
+        "mistralai/Mistral-7B-Instruct-v0.2",
+        "mistralai/Mistral-7B-Instruct-v0.3",
+        "mistralai/Mixtral-8x22B-Instruct-v0.1",
+        "mistralai/Mixtral-8x7B-Instruct-v0.1",
+        
+        # Qwen Models
+        "@cf/qwen/qwen1.5-0.5b-chat",
+        "@cf/qwen/qwen1.5-1.8b-chat",
+        "@cf/qwen/qwen1.5-7b-chat-awq",
+        "@cf/qwen/qwen1.5-14b-chat-awq",
+        "Qwen/Qwen2.5-3B-Instruct",
+        "Qwen/Qwen2.5-72B-Instruct",
+        "Qwen/Qwen2.5-Coder-32B-Instruct",
+        
+        # Google/Gemini Models
+        "@cf/google/gemma-2b-it-lora",
+        "@cf/google/gemma-7b-it-lora",
+        "@hf/google/gemma-7b-it",
+        "google/gemma-1.1-2b-it",
+        "google/gemma-1.1-7b-it",
+        "gemini-pro",
+        "gemini-1.5-pro",
+        "gemini-1.5-pro-latest",
+        "gemini-1.5-flash",
+        
+        # Cohere Models
+        "c4ai-aya-23-35b",
+        "c4ai-aya-23-8b",
+        "command",
+        "command-light",
+        "command-light-nightly",
+        "command-nightly",
+        "command-r",
+        "command-r-08-2024",
+        "command-r-plus",
+        "command-r-plus-08-2024",
+        "rerank-english-v2.0",
+        "rerank-english-v3.0",
+        "rerank-multilingual-v2.0",
+        "rerank-multilingual-v3.0",
+        
+        # Microsoft Models
+        "@cf/microsoft/phi-2",
+        "microsoft/DialoGPT-medium",
+        "microsoft/Phi-3-medium-4k-instruct",
+        "microsoft/Phi-3-mini-4k-instruct",
+        "microsoft/Phi-3.5-mini-instruct",
+        "microsoft/WizardLM-2-8x22B",
+        
+        # Yi Models
+        "01-ai/Yi-1.5-34B-Chat",
+        "01-ai/Yi-34B-Chat",
+        
+        # Specialized Models and Tools
+        "@cf/deepseek-ai/deepseek-math-7b-base",
+        "@cf/deepseek-ai/deepseek-math-7b-instruct",
+        "@cf/defog/sqlcoder-7b-2",
+        "@cf/openchat/openchat-3.5-0106",
+        "@cf/thebloke/discolm-german-7b-v1-awq",
+        "@cf/tiiuae/falcon-7b-instruct",
+        "@cf/tinyllama/tinyllama-1.1b-chat-v1.0",
+        "@hf/nexusflow/starling-lm-7b-beta",
+        "@hf/nousresearch/hermes-2-pro-mistral-7b",
+        "@hf/thebloke/deepseek-coder-6.7b-base-awq",
+        "@hf/thebloke/deepseek-coder-6.7b-instruct-awq",
+        "@hf/thebloke/llama-2-13b-chat-awq",
+        "@hf/thebloke/llamaguard-7b-awq",
+        "@hf/thebloke/neural-chat-7b-v3-1-awq",
+        "@hf/thebloke/openhermes-2.5-mistral-7b-awq",
+        "@hf/thebloke/zephyr-7b-beta-awq",
+        "AndroidDeveloper",
+        "AngularJSAgent",
+        "AzureAgent",
+        "BitbucketAgent",
+        "DigitalOceanAgent",
+        "DockerAgent",
+        "ElectronAgent",
+        "ErlangAgent",
+        "FastAPIAgent",
+        "FirebaseAgent",
+        "FlaskAgent",
+        "FlutterAgent",
+        "GitAgent",
+        "GitlabAgent",
+        "GoAgent",
+        "GodotAgent",
+        "GoogleCloudAgent",
+        "HTMLAgent",
+        "HerokuAgent",
+        "ImageGeneration",
+        "JavaAgent",
+        "JavaScriptAgent",
+        "MongoDBAgent",
+        "Next.jsAgent",
+        "PyTorchAgent",
+        "PythonAgent",
+        "ReactAgent",
+        "RepoMap",
+        "SwiftDeveloper",
+        "XcodeAgent",
+        "YoutubeAgent",
+        "blackboxai",
+        "blackboxai-pro",
+        "builderAgent",
+        "dify",
+        "flux",
+        "openchat/openchat-3.6-8b",
+        "rtist",
+        "searchgpt",
+        "sur",
+        "sur-mistral",
+        "unity"
+    ]
+
+    def __init__(
+        self,
+        is_conversation: bool = True,
+        max_tokens: int = 4000,  # Set a reasonable default
+        timeout: int = 30,
+        intro: str = None,
+        filepath: str = None,
+        update_file: bool = True,
+        proxies: dict = {},
+        history_offset: int = 10250,
+        act: str = None,
+        model: str = "claude-3-5-sonnet-20240620",
+        system_prompt: str = "You are a helpful assistant.",
+        temperature: float = 0.5,
+        presence_penalty: int = 0,
+        frequency_penalty: int = 0,
+        top_p: float = 1,
+    ):
+        """Initializes the TypeGPT API client."""
+        if model not in self.models:
+            raise ValueError(f"Invalid model: {model}. Choose from: {', '.join(self.models)}")
+
+        self.session = requests.Session()
+        self.is_conversation = is_conversation
+        self.max_tokens_to_sample = max_tokens
+        self.api_endpoint = "https://chat.typegpt.net/api/openai/v1/chat/completions"
+        self.timeout = timeout
+        self.last_response = {}
+        self.last_response_status_code = None  # Added line for status code
+        self.model = model
+        self.system_prompt = system_prompt
+        self.temperature = temperature
+        self.presence_penalty = presence_penalty
+        self.frequency_penalty = frequency_penalty
+        self.top_p = top_p
+
+        self.headers = {
+            "authority": "chat.typegpt.net",
+            "accept": "application/json, text/event-stream",
+            "accept-language": "en-US,en;q=0.9",
+            "content-type": "application/json",
+            "origin": "https://chat.typegpt.net",
+            "referer": "https://chat.typegpt.net/",
+            "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36"
+        }
+
+        self.__available_optimizers = (
+            method
+            for method in dir(Optimizers)
+            if callable(getattr(Optimizers, method)) and not method.startswith("__")
+        )
+        Conversation.intro = (
+            AwesomePrompts().get_act(
+                act, raise_not_found=True, default=None, case_insensitive=True
+            )
+            if act
+            else intro or Conversation.intro
+        )
+        self.conversation = Conversation(
+            is_conversation, self.max_tokens_to_sample, filepath, update_file
+        )
+        self.conversation.history_offset = history_offset
+        self.session.proxies = proxies
+
+    def ask(
+        self,
+        prompt: str,
+        stream: bool = False,
+        raw: bool = False,
+        optimizer: str = None,
+        conversationally: bool = False,
+    ) -> Dict[str, Any] | Generator:
+        """Sends a prompt to the TypeGPT.net API and returns the response."""
+        conversation_prompt = self.conversation.gen_complete_prompt(prompt)
+        if optimizer:
+            if optimizer in self.__available_optimizers:
+                conversation_prompt = getattr(Optimizers, optimizer)(
+                    conversation_prompt if conversationally else prompt
+                )
+            else:
+                raise exceptions.FailedToGenerateResponseError(
+                    f"Optimizer is not one of {self.__available_optimizers}"
+                )
+
+        payload = {
+            "messages": [
+                {"role": "system", "content": self.system_prompt},
+                {"role": "user", "content": conversation_prompt}
+            ],
+            "stream": stream,
+            "model": self.model,
+            "temperature": self.temperature,
+            "presence_penalty": self.presence_penalty,
+            "frequency_penalty": self.frequency_penalty,
+            "top_p": self.top_p,
+            "max_tokens": self.max_tokens_to_sample,
+        }
+
+        def for_stream():
+            response = self.session.post(
+                self.api_endpoint, headers=self.headers, json=payload, stream=True, timeout=self.timeout
+            )
+            self.last_response_status_code = response.status_code  # Capture status code
+            if not response.ok:
+                raise exceptions.FailedToGenerateResponseError(
+                    f"Failed to generate response - ({response.status_code}, {response.reason}) - {response.text}"
+                )
+            message_load = ""
+            for line in response.iter_lines():
+                if line:
+                    line = line.decode("utf-8")
+                    if line.startswith("data: "):
+                        line = line[6:]  # Remove "data: " prefix
+                        # Skip [DONE] message
+                        if line.strip() == "[DONE]":
+                            break
+
+                        try:
+                            data = json.loads(line)
+                            
+                            # Extract and yield only new content
+                            if 'choices' in data and len(data['choices']) > 0:
+                                delta = data['choices'][0].get('delta', {})
+                                if 'content' in delta:
+                                    new_content = delta['content']
+                                    message_load += new_content
+                                    # Yield only the new content
+                                    yield dict(text=new_content) if not raw else new_content
+                                    self.last_response = dict(text=message_load)
+
+                        except json.JSONDecodeError:
+                            continue
+            self.conversation.update_chat_history(prompt, self.get_message(self.last_response))
+
+        def for_non_stream():
+            response = self.session.post(self.api_endpoint, headers=self.headers, json=payload)
+            self.last_response_status_code = response.status_code  # Capture status code
+            if not response.ok:
+                raise exceptions.FailedToGenerateResponseError(
+                    f"Request failed - {response.status_code}: {response.text}"
+                )
+            self.last_response = response.json()
+            self.conversation.update_chat_history(prompt, self.get_message(self.last_response))
+            return self.last_response
+
+        return for_stream() if stream else for_non_stream()
+
+    def chat(
+        self,
+        prompt: str,
+        stream: bool = False,
+        optimizer: str = None,
+        conversationally: bool = False,
+    ) -> str | Generator[str, None, None]:
+        """Generate response `str` or stream."""
+        if stream:
+            gen = self.ask(
+                prompt, stream=True, optimizer=optimizer, conversationally=conversationally
+            )
+            for chunk in gen:
+                yield self.get_message(chunk)  # Extract text from streamed chunks
+        else:
+            return self.get_message(self.ask(prompt, stream=False, optimizer=optimizer, conversationally=conversationally))
+
+    def get_message(self, response: Dict[str, Any]) -> str:
+        """Retrieves message from response."""
+        if isinstance(response, str):  # Handle raw responses
+            return response
+        elif isinstance(response, dict):
+            assert isinstance(response, dict), "Response should be of dict data-type only"
+            return response.get("text", "")  # Extract text from dictionary response
+        else:
+            raise TypeError("Invalid response type. Expected str or dict.")
+
+if __name__ == "__main__":
+    from rich import print
+    from rich.progress import Progress, BarColumn, TextColumn, TimeRemainingColumn, SpinnerColumn
+    from rich.console import Console
+    from rich.table import Table
+    import concurrent.futures
+
+    def make_api_call(thread_number, results):
+        ai = TypeGPT()
+        try:
+            ai.ask("Test message", stream=False)
+            status_code = ai.last_response_status_code
+            results[thread_number] = status_code
+        except Exception as e:
+            results[thread_number] = str(e)
+
+    results = {}
+    total_requests = 100
+
+    console = Console()
+
+    print("[bold magenta]Starting API Load Test with 100 simultaneous requests...[/bold magenta]\n")
+
+    with Progress(
+        SpinnerColumn(),
+        "[progress.description]{task.description}",
+        BarColumn(bar_width=None),
+        "[progress.percentage]{task.percentage:>3.0f}%",
+        TimeRemainingColumn(),
+        console=console,
+    ) as progress:
+        task = progress.add_task("[cyan]Sending API Requests...", total=total_requests)
+        with concurrent.futures.ThreadPoolExecutor(max_workers=total_requests) as executor:
+            futures = {
+                executor.submit(make_api_call, i, results): i for i in range(total_requests)
+            }
+            for future in concurrent.futures.as_completed(futures):
+                progress.update(task, advance=1)
+        progress.stop()
+
+    # Process and display the results
+    successful_calls = sum(1 for status in results.values() if status == 200)
+    failed_calls = total_requests - successful_calls
+
+    print("\n[bold magenta]API Load Test Results:[/bold magenta]\n")
+    print(f"[bold green]Successful calls: {successful_calls}")
+    print(f"[bold red]Failed calls: {failed_calls}\n")
+
+    # Create a table to display detailed results
+    table = Table(show_header=True, header_style="bold blue")
+    table.add_column("Thread Number", justify="right", style="dim")
+    table.add_column("Status", style="bold")
+
+    for thread_number, status in results.items():
+        if status == 200:
+            table.add_row(f"{thread_number}", f"[green]Success[/green]")
+        else:
+            table.add_row(f"{thread_number}", f"[red]Failed ({status})[/red]")
+
+    print(table)

TYPEGPT/typegpt_normal.py

@@ -0,0 +1,231 @@
+import requests
+import json
+
+# List of available models
+models = [
+    # OpenAI Models
+    "gpt-3.5-turbo",
+    "gpt-3.5-turbo-202201",
+    "gpt-4o",
+    "gpt-4o-2024-05-13",
+    "o1-preview",
+    
+    # Claude Models
+    "claude",
+    "claude-3-5-sonnet",
+    "claude-sonnet-3.5",
+    "claude-3-5-sonnet-20240620",
+    
+    # Meta/LLaMA Models
+    "@cf/meta/llama-2-7b-chat-fp16",
+    "@cf/meta/llama-2-7b-chat-int8",
+    "@cf/meta/llama-3-8b-instruct",
+    "@cf/meta/llama-3.1-8b-instruct",
+    "@cf/meta-llama/llama-2-7b-chat-hf-lora",
+    "llama-3.1-405b",
+    "llama-3.1-70b",
+    "llama-3.1-8b",
+    "meta-llama/Llama-2-7b-chat-hf",
+    "meta-llama/Llama-3.1-70B-Instruct",
+    "meta-llama/Llama-3.1-8B-Instruct",
+    "meta-llama/Llama-3.2-11B-Vision-Instruct",
+    "meta-llama/Llama-3.2-1B-Instruct",
+    "meta-llama/Llama-3.2-3B-Instruct",
+    "meta-llama/Llama-3.2-90B-Vision-Instruct",
+    "meta-llama/Llama-Guard-3-8B",
+    "meta-llama/Meta-Llama-3-70B-Instruct",
+    "meta-llama/Meta-Llama-3-8B-Instruct",
+    "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo",
+    "meta-llama/Meta-Llama-3.1-8B-Instruct",
+    "meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo",
+    
+    # Mistral Models
+    "mistral",
+    "mistral-large",
+    "@cf/mistral/mistral-7b-instruct-v0.1",
+    "@cf/mistral/mistral-7b-instruct-v0.2-lora",
+    "@hf/mistralai/mistral-7b-instruct-v0.2",
+    "mistralai/Mistral-7B-Instruct-v0.2",
+    "mistralai/Mistral-7B-Instruct-v0.3",
+    "mistralai/Mixtral-8x22B-Instruct-v0.1",
+    "mistralai/Mixtral-8x7B-Instruct-v0.1",
+    
+    # Qwen Models
+    "@cf/qwen/qwen1.5-0.5b-chat",
+    "@cf/qwen/qwen1.5-1.8b-chat",
+    "@cf/qwen/qwen1.5-7b-chat-awq",
+    "@cf/qwen/qwen1.5-14b-chat-awq",
+    "Qwen/Qwen2.5-3B-Instruct",
+    "Qwen/Qwen2.5-72B-Instruct",
+    "Qwen/Qwen2.5-Coder-32B-Instruct",
+    
+    # Google/Gemini Models
+    "@cf/google/gemma-2b-it-lora",
+    "@cf/google/gemma-7b-it-lora",
+    "@hf/google/gemma-7b-it",
+    "google/gemma-1.1-2b-it",
+    "google/gemma-1.1-7b-it",
+    "gemini-pro",
+    "gemini-1.5-pro",
+    "gemini-1.5-pro-latest",
+    "gemini-1.5-flash",
+    
+    # Cohere Models
+    "c4ai-aya-23-35b",
+    "c4ai-aya-23-8b",
+    "command",
+    "command-light",
+    "command-light-nightly",
+    "command-nightly",
+    "command-r",
+    "command-r-08-2024",
+    "command-r-plus",
+    "command-r-plus-08-2024",
+    "rerank-english-v2.0",
+    "rerank-english-v3.0",
+    "rerank-multilingual-v2.0",
+    "rerank-multilingual-v3.0",
+    
+    # Microsoft Models
+    "@cf/microsoft/phi-2",
+    "microsoft/DialoGPT-medium",
+    "microsoft/Phi-3-medium-4k-instruct",
+    "microsoft/Phi-3-mini-4k-instruct",
+    "microsoft/Phi-3.5-mini-instruct",
+    "microsoft/WizardLM-2-8x22B",
+    
+    # Yi Models
+    "01-ai/Yi-1.5-34B-Chat",
+    "01-ai/Yi-34B-Chat",
+    
+    # Specialized Models and Tools
+    "@cf/deepseek-ai/deepseek-math-7b-base",
+    "@cf/deepseek-ai/deepseek-math-7b-instruct",
+    "@cf/defog/sqlcoder-7b-2",
+    "@cf/openchat/openchat-3.5-0106",
+    "@cf/thebloke/discolm-german-7b-v1-awq",
+    "@cf/tiiuae/falcon-7b-instruct",
+    "@cf/tinyllama/tinyllama-1.1b-chat-v1.0",
+    "@hf/nexusflow/starling-lm-7b-beta",
+    "@hf/nousresearch/hermes-2-pro-mistral-7b",
+    "@hf/thebloke/deepseek-coder-6.7b-base-awq",
+    "@hf/thebloke/deepseek-coder-6.7b-instruct-awq",
+    "@hf/thebloke/llama-2-13b-chat-awq",
+    "@hf/thebloke/llamaguard-7b-awq",
+    "@hf/thebloke/neural-chat-7b-v3-1-awq",
+    "@hf/thebloke/openhermes-2.5-mistral-7b-awq",
+    "@hf/thebloke/zephyr-7b-beta-awq",
+    "AndroidDeveloper",
+    "AngularJSAgent",
+    "AzureAgent",
+    "BitbucketAgent",
+    "DigitalOceanAgent",
+    "DockerAgent",
+    "ElectronAgent",
+    "ErlangAgent",
+    "FastAPIAgent",
+    "FirebaseAgent",
+    "FlaskAgent",
+    "FlutterAgent",
+    "GitAgent",
+    "GitlabAgent",
+    "GoAgent",
+    "GodotAgent",
+    "GoogleCloudAgent",
+    "HTMLAgent",
+    "HerokuAgent",
+    "ImageGeneration",
+    "JavaAgent",
+    "JavaScriptAgent",
+    "MongoDBAgent",
+    "Next.jsAgent",
+    "PyTorchAgent",
+    "PythonAgent",
+    "ReactAgent",
+    "RepoMap",
+    "SwiftDeveloper",
+    "XcodeAgent",
+    "YoutubeAgent",
+    "blackboxai",
+    "blackboxai-pro",
+    "builderAgent",
+    "dify",
+    "flux",
+    "openchat/openchat-3.6-8b",
+    "rtist",
+    "searchgpt",
+    "sur",
+    "sur-mistral",
+    "unity"
+]
+
+# Parameters
+is_conversation = True
+max_tokens = 4000  # Set a reasonable default
+timeout = 30
+model = "claude-3-5-sonnet-20240620"
+system_prompt = "You are a helpful assistant."
+temperature = 0.5
+presence_penalty = 0
+frequency_penalty = 0
+top_p = 1
+
+if model not in models:
+    raise ValueError(f"Invalid model: {model}. Choose from: {', '.join(models)}")
+
+session = requests.Session()
+api_endpoint = "https://chat.typegpt.net/api/openai/v1/chat/completions"
+
+headers = {
+    "authority": "chat.typegpt.net",
+    "accept": "application/json, text/event-stream",
+    "accept-language": "en-US,en;q=0.9",
+    "content-type": "application/json",
+    "origin": "https://chat.typegpt.net",
+    "referer": "https://chat.typegpt.net/",
+    "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36"
+}
+
+# Prompt to send
+prompt = "What is the knowledge cut off? Be specific and also specify the month, year and date. If not sure, then provide approximate"
+
+# Payload
+payload = {
+    "messages": [
+        {"role": "system", "content": system_prompt},
+        {"role": "user", "content": prompt}
+    ],
+    "stream": True,
+    "model": model,
+    "temperature": temperature,
+    "presence_penalty": presence_penalty,
+    "frequency_penalty": frequency_penalty,
+    "top_p": top_p,
+    "max_tokens": max_tokens,
+}
+
+# Make the API request
+response = session.post(
+    api_endpoint, headers=headers, json=payload, stream=True, timeout=timeout
+)
+
+if not response.ok:
+    raise Exception(f"Failed to generate response - ({response.status_code}, {response.reason}) - {response.text}")
+
+# Process the streamed response
+for line in response.iter_lines():
+    if line:
+        line = line.decode("utf-8")
+        if line.startswith("data: "):
+            line = line[6:]  # Remove "data: " prefix
+            if line.strip() == "[DONE]":
+                break
+            try:
+                data = json.loads(line)
+                if 'choices' in data and len(data['choices']) > 0:
+                    delta = data['choices'][0].get('delta', {})
+                    if 'content' in delta:
+                        new_content = delta['content']
+                        print(new_content, end="", flush=True)
+            except json.JSONDecodeError:
+                continue