mirror of
https://github.com/xtekky/gpt4free.git
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f4cd4890d3
* feat: enhance provider support and add PuterJS provider - Add new PuterJS provider with extensive model support and authentication handling - Add three new OIVSCode providers (OIVSCodeSer2, OIVSCodeSer5, OIVSCodeSer0501) - Fix Blackbox provider with improved model handling and session generation - Update model aliases across multiple providers for consistency - Mark DDG provider as not working - Move TypeGPT to not_working directory - Fix model name formatting in DeepInfraChat and other providers (qwen3 → qwen-3) - Add get_model method to LambdaChat and other providers for better model alias handling - Add ModelNotFoundError import to providers that need it - Update model definitions in models.py with new providers and aliases - Fix client/stubs.py to allow arbitrary types in ChatCompletionMessage * Fix conflicts g4f/Provider/needs_auth/Grok.py * fix: update Blackbox provider default settings - Changed parameter to use only the passed value without fallback to 1024 - Set to instead of in request payload * feat: add WeWordle provider with gpt-4 support - Created new WeWordle.py provider file implementing AsyncGeneratorProvider - Added WeWordle class with API endpoint at wewordle.org/gptapi/v1/web/turbo - Set provider properties: working=True, needs_auth=False, supports_stream=True - Configured default_model as 'gpt-4' with retry mechanism for API requests - Implemented URL sanitization logic to handle malformed URLs - Added response parsing for different JSON response formats - Added WeWordle to Provider/__init__.py imports - Added WeWordle to default model providers list in models.py - Added WeWordle to gpt_4 best_provider list in models.py * feat: add DocsBot provider with GPT-4o support - Added new DocsBot.py provider file implementing AsyncGeneratorProvider and ProviderModelMixin - Created Conversation class extending JsonConversation to track conversation state - Implemented create_async_generator method with support for: - Streaming and non-streaming responses - System messages - Message history - Image handling via data URIs - Conversation tracking - Added DocsBot to Provider/__init__.py imports - Added DocsBot to default and default_vision model providers in models.py - Added DocsBot as a provider for gpt_4o model in models.py - Set default_model and vision support to 'gpt-4o' - Implemented API endpoint communication with docsbot.ai * feat: add OpenAIFM provider and update audio model references - Added new OpenAIFM provider in g4f/Provider/audio/OpenAIFM.py for text-to-speech functionality - Updated PollinationsAI.py to rename "gpt-4o-audio" to "gpt-4o-mini-audio" - Added OpenAIFM to audio provider imports in g4f/Provider/audio/__init__.py - Modified save_response_media() in g4f/image/copy_images.py to handle source_url separately from media_url - Added new gpt_4o_mini_tts AudioModel in g4f/models.py with OpenAIFM as best provider - Updated ModelUtils dictionary in models.py to include both gpt_4o_mini_audio and gpt_4o_mini_tts * fix: improve PuterJS provider and add Gemini to best providers - Changed client_id generation in PuterJS from time-based to UUID format - Fixed duplicate json import in PuterJS.py - Added uuid module import in PuterJS.py - Changed host header from "api.puter.com" to "puter.com" - Modified error handling to use Exception instead of RateLimitError - Added Gemini to best_provider list for gemini-2.5-flash model - Added Gemini to best_provider list for gemini-2.5-pro model - Fixed missing newline at end of Gemini.py file --------- Co-authored-by: kqlio67 <kqlio67.noreply.github.com>
39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
from __future__ import annotations
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import secrets
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import string
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from .template import OpenaiTemplate
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class OIVSCodeSer2(OpenaiTemplate):
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label = "OI VSCode Server 2"
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url = "https://oi-vscode-server-2.onrender.com"
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api_base = "https://oi-vscode-server-2.onrender.com/v1"
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api_endpoint = "https://oi-vscode-server-2.onrender.com/v1/chat/completions"
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working = True
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needs_auth = False
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supports_stream = True
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supports_system_message = True
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supports_message_history = True
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default_model = "gpt-4o-mini"
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default_vision_model = default_model
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vision_models = [default_vision_model]
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models = vision_models
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@classmethod
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def get_headers(cls, stream: bool, api_key: str = None, headers: dict = None) -> dict:
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# Generate a random user ID similar to the JavaScript code
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userid = ''.join(secrets.choice(string.ascii_letters + string.digits) for _ in range(21))
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return {
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"Accept": "text/event-stream" if stream else "application/json",
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"Content-Type": "application/json",
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"userid": userid,
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**(
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{"Authorization": f"Bearer {api_key}"}
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if api_key else {}
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),
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**({} if headers is None else headers)
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}
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