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docs: update providers documentation and enhance support for Blackbox HAR auth

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- Added "No auth / HAR file" authentication type in providers-and-models.md
- Added "Video generation" column to provider tables for future capability
- Updated model counts and provider capabilities throughout documentation
- Fixed ARTA provider with improved error handling and response validation
- Enhanced AllenAI provider with vision model support and proper image handling
- Significantly improved Blackbox provider:
  - Added HAR file authentication support
  - Added subscription status checking
  - Added premium/demo model differentiation
  - Improved session handling and error recovery
- Enhanced DDG provider with better error handling for challenges
- Improved PollinationsAI and PollinationsImage providers' model handling
- Added VideoModel class in g4f/models.py
- Added audio/video generation indicators in GUI components
- Added new Ai2 models: olmo-1-7b, olmo-2-32b, olmo-4-synthetic
- Added new commit message generation tool in etc/tool/commit.py
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kqlio67
2025-04-04 13:36:28 +03:00
parent 25e7da0eee
commit 54ef1a511c
12 changed files with 933 additions and 433 deletions
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docs/providers-and-models.md
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@@ -26,6 +26,7 @@ This document provides an overview of various AI providers and models, including
- **Optional API key** - Works without authentication, but you can provide an API key for better rate limits or additional features. The service is usable without an API key. - **Optional API key** - Works without authentication, but you can provide an API key for better rate limits or additional features. The service is usable without an API key.
- **API key / Cookies** - Supports both authentication methods. You can use either an API key or browser cookies for authentication. - **API key / Cookies** - Supports both authentication methods. You can use either an API key or browser cookies for authentication.
- **No auth required** - No authentication needed. The service is publicly available without any credentials. - **No auth required** - No authentication needed. The service is publicly available without any credentials.
- **No auth / HAR file** - Supports both authentication methods. The service works without authentication, but you can also use HAR file authentication for potentially enhanced features or capabilities.
**Symbols:** **Symbols:**
- ✔ - Feature is supported - ✔ - Feature is supported
@@ -34,108 +35,110 @@ This document provides an overview of various AI providers and models, including
--- ---
### Providers No auth required ### Providers No auth required
| Website | API Credentials | Provider | Text generation | Image generation | Audio generation | Vision (Image Upload) | Status | | Website | API Credentials | Provider | Text generation | Image generation | Audio generation | Video generation | Vision (Image Upload) | Status |
|----------|-------------|--------------|---------------|--------|--------|------|------| |----------|-------------|--------------|---------------|--------|--------|------|------|------|
|[playground.allenai.org](https://playground.allenai.org)|No auth required|`g4f.Provider.AllenAI`|`tulu-3-405b, olmo-2-13b, tulu-3-1-8b, tulu-3-70b, olmoe-0125`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[playground.allenai.org](https://playground.allenai.org)|No auth required|`g4f.Provider.AllenAI`|`tulu-3-405b, olmo-2-13b, tulu-3-1-8b, tulu-3-70b, olmoe-0125, olmo-2-32b`|❌|❌|❌|`olmo-4-synthetic`|![](https://img.shields.io/badge/Active-brightgreen)|
|[ai-arta.com](https://ai-arta.com)|No auth required|`g4f.Provider.ARTA`|❌|✔ _**(17+)**_|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[ai-arta.com](https://ai-arta.com)|No auth required|`g4f.Provider.ARTA`|❌|`flux` _**(16+)**_|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[blackbox.ai](https://www.blackbox.ai)|No auth required|`g4f.Provider.Blackbox`|`blackboxai, blackboxai-pro, gpt-4o-mini, deepseek-chat, deepseek-v3, deepseek-r1, gpt-4o, o1, o3-mini, claude-3.7-sonnet` _**(40+)**_|`flux`|❌|`blackboxai, gpt-4o, o1, o3-mini, deepseek-v3` _**(7+)**_|![](https://img.shields.io/badge/Active-brightgreen)| |[blackbox.ai](https://www.blackbox.ai)|No auth / HAR file|`g4f.Provider.Blackbox`|`blackboxai, blackboxai-pro, gpt-4o-mini, deepseek-chat, deepseek-v3, deepseek-r1, gpt-4o, o1, o3-mini, claude-3.7-sonnet, llama-3.3-70b, mixtral-small-24b, qwq-32b` _**(40+)**_|`flux`|❌|❌|`blackboxai, gpt-4o, o1, o3-mini, deepseek-v3` _**(7+)**_|![](https://img.shields.io/badge/Active-brightgreen)|
|[chatglm.cn](https://chatglm.cn)|No auth required|`g4f.Provider.ChatGLM`|`glm-4`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[chatglm.cn](https://chatglm.cn)|No auth required|`g4f.Provider.ChatGLM`|`glm-4`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[chatgpt.com](https://chatgpt.com)|No auth required|`g4f.Provider.ChatGpt`|✔ _**(7+)**_|❌|❌|❌|![Error](https://img.shields.io/badge/HTTPError-f48d37)| |[chatgpt.com](https://chatgpt.com)|No auth required|`g4f.Provider.ChatGpt`|✔ _**(7+)**_|❌|❌|❌|❌|![Error](https://img.shields.io/badge/HTTPError-f48d37)|
|[chatgpt.es](https://chatgpt.es)|No auth required|`g4f.Provider.ChatGptEs`|`gpt-4, gpt-4o, gpt-4o-mini`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[chatgpt.es](https://chatgpt.es)|No auth required|`g4f.Provider.ChatGptEs`|`gpt-4, gpt-4o, gpt-4o-mini`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[playground.ai.cloudflare.com](https://playground.ai.cloudflare.com)|[Automatic cookies](https://playground.ai.cloudflare.com)|`g4f.Provider.Cloudflare`|`llama-2-7b, llama-3-8b, llama-3.1-8b, llama-3.2-1b, qwen-1.5-7b`|❌|❌|❌|![Error](https://img.shields.io/badge/Active-brightgreen)| |[playground.ai.cloudflare.com](https://playground.ai.cloudflare.com)|[Automatic cookies](https://playground.ai.cloudflare.com)|`g4f.Provider.Cloudflare`|`llama-2-7b, llama-3-8b, llama-3.1-8b, llama-3.2-1b, qwen-1.5-7b`|❌|❌|❌|❌|![Error](https://img.shields.io/badge/Active-brightgreen)|
|[copilot.microsoft.com](https://copilot.microsoft.com)|Optional API key|`g4f.Provider.Copilot`|`gpt-4, o1`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[copilot.microsoft.com](https://copilot.microsoft.com)|Optional API key|`g4f.Provider.Copilot`|`gpt-4, o1`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[duckduckgo.com/aichat](https://duckduckgo.com/aichat)|No auth required|`g4f.Provider.DDG`|`gpt-4, gpt-4o-mini, llama-3.3-70b, claude-3-haiku, o3-mini, mixtral-small-24b`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[duckduckgo.com/aichat](https://duckduckgo.com/aichat)|No auth required|`g4f.Provider.DDG`|`gpt-4, gpt-4o-mini, llama-3.3-70b, claude-3-haiku, o3-mini, mixtral-small-24b`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[deepinfra.com/chat](https://deepinfra.com/chat)|No auth required|`g4f.Provider.DeepInfraChat`|`llama-3.1-8b, llama-3.2-90b, llama-3.3-70b, deepseek-v3, mixtral-small-24b, deepseek-r1, phi-4, wizardlm-2-8x22b, qwen-2.5-72b, yi-34b, qwen-2-72b, dolphin-2.6, dolphin-2.9, dbrx-instruct, airoboros-70b, lzlv-70b, wizardlm-2-7b, mixtral-8x22b, minicpm-2.5`|❌|❌|`llama-3.2-90b, minicpm-2.5`|![](https://img.shields.io/badge/Active-brightgreen)| |[deepinfra.com/chat](https://deepinfra.com/chat)|No auth required|`g4f.Provider.DeepInfraChat`|`llama-3.1-8b, llama-3.2-90b, llama-3.3-70b, deepseek-v3, mixtral-small-24b, deepseek-r1, phi-4, wizardlm-2-8x22b, qwen-2.5-72b, yi-34b, qwen-2-72b, dolphin-2.6, dolphin-2.9, dbrx-instruct, airoboros-70b, lzlv-70b, wizardlm-2-7b, mixtral-8x22b, minicpm-2.5`|❌|❌|❌|`llama-3.2-90b, minicpm-2.5`|![](https://img.shields.io/badge/Active-brightgreen)|
|[dynaspark.onrender.com](https://dynaspark.onrender.com)|No auth required|`g4f.Provider.Dynaspark`|`gemini-1.5-flash, gemini-2.0-flash`|❌|❌|`gemini-1.5-flash, gemini-2.0-flash`|![](https://img.shields.io/badge/Active-brightgreen)| |[dynaspark.onrender.com](https://dynaspark.onrender.com)|No auth required|`g4f.Provider.Dynaspark`|`gemini-1.5-flash, gemini-2.0-flash`|❌|❌|❌|`gemini-1.5-flash, gemini-2.0-flash`|![](https://img.shields.io/badge/Active-brightgreen)|
|[chat10.free2gpt.xyz](https://chat10.free2gpt.xyz)|No auth required|`g4f.Provider.Free2GPT`|`gemini-1.5-pro, gemini-1.5-flash`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[chat10.free2gpt.xyz](https://chat10.free2gpt.xyz)|No auth required|`g4f.Provider.Free2GPT`|`gemini-1.5-pro, gemini-1.5-flash`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[freegptsnav.aifree.site](https://freegptsnav.aifree.site)|No auth required|`g4f.Provider.FreeGpt`|`gemini-1.5-pro, gemini-1.5-flash`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[freegptsnav.aifree.site](https://freegptsnav.aifree.site)|No auth required|`g4f.Provider.FreeGpt`|`gemini-1.5-pro, gemini-1.5-flash`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[app.giz.ai/assistant](https://app.giz.ai/assistant)|No auth required|`g4f.Provider.GizAI`|`gemini-1.5-flash`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[app.giz.ai/assistant](https://app.giz.ai/assistant)|No auth required|`g4f.Provider.GizAI`|`gemini-1.5-flash`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[glider.so](https://glider.so)|No auth required|`g4f.Provider.Glider`|`llama-3.1-70b, llama-3.1-8b, llama-3.2-3b, deepseek-r1`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[glider.so](https://glider.so)|No auth required|`g4f.Provider.Glider`|`llama-3.1-70b, llama-3.1-8b, llama-3.2-3b, deepseek-r1`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[goabror.uz](https://goabror.uz)|No auth required|`g4f.Provider.Goabror`|`gpt-4`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[goabror.uz](https://goabror.uz)|No auth required|`g4f.Provider.Goabror`|`gpt-4`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[hailuo.ai](https://www.hailuo.ai)|No auth required|`g4f.Provider.HailuoAI`|`MiniMax` _**(1+)**_|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[hailuo.ai](https://www.hailuo.ai)|No auth required|`g4f.Provider.HailuoAI`|`MiniMax` _**(1+)**_|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[editor.imagelabs.net](editor.imagelabs.net)|No auth required|`g4f.Provider.ImageLabs`|❌|`sdxl-turbo`|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[editor.imagelabs.net](editor.imagelabs.net)|No auth required|`g4f.Provider.ImageLabs`|❌|`sdxl-turbo`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[huggingface.co/spaces](https://huggingface.co/spaces)|Optional API key|`g4f.Provider.HuggingSpace`|`qvq-72b, qwen-2-72b, command-r, command-r-plus, command-r7b, command-a`|`flux-dev, flux-schnell, sd-3.5`|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[huggingface.co/spaces](https://huggingface.co/spaces)|Optional API key|`g4f.Provider.HuggingSpace`|`qvq-72b, qwen-2-72b, command-r, command-r-plus, command-r7b, command-a`|`flux-dev, flux-schnell, sd-3.5`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[jmuz.me](https://jmuz.me)|Optional API key|`g4f.Provider.Jmuz`|`claude-3-haiku, claude-3-opus, claude-3.5-sonnet, deepseek-r1, deepseek-chat, gemini-exp, gemini-1.5-flash, gemini-1.5-pro, gemini-2.0-flash-thinking, gpt-4, gpt-4o, gpt-4o-mini, llama-3-70b, llama-3-8b, llama-3.1-405b, llama-3.1-70b, llama-3.1-8b, llama-3.2-11b, llama-3.2-90b, llama-3.3-70b, mixtral-8x7b, qwen-2.5-72b, qwen-2.5-coder-32b, qwq-32b, wizardlm-2-8x22b`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[jmuz.me](https://jmuz.me)|Optional API key|`g4f.Provider.Jmuz`|`claude-3-haiku, claude-3-opus, claude-3.5-sonnet, deepseek-r1, deepseek-chat, gemini-exp, gemini-1.5-flash, gemini-1.5-pro, gemini-2.0-flash-thinking, gpt-4, gpt-4o, gpt-4o-mini, llama-3-70b, llama-3-8b, llama-3.1-405b, llama-3.1-70b, llama-3.1-8b, llama-3.2-11b, llama-3.2-90b, llama-3.3-70b, mixtral-8x7b, qwen-2.5-72b, qwen-2.5-coder-32b, qwq-32b, wizardlm-2-8x22b`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[lambda.chat](https://lambda.chat)|No auth required|`g4f.Provider.LambdaChat`|`deepseek-v3, deepseek-r1, hermes-3, nemotron-70b, llama-3.3-70b`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[lambda.chat](https://lambda.chat)|No auth required|`g4f.Provider.LambdaChat`|`deepseek-v3, deepseek-r1, hermes-3, nemotron-70b, llama-3.3-70b`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[liaobots.work](https://liaobots.work)|[Automatic cookies](https://liaobots.work)|`g4f.Provider.Liaobots`|`claude-3.5-sonnet, claude-3.7-sonnet, claude-3.7-sonnet-thinking, claude-3-opus, claude-3-sonnet, deepseek-r1, deepseek-v3, gemini-2.0-flash, gemini-2.0-flash-thinking, gemini-2.0-pro, gpt-4, gpt-4o, gpt-4o-mini, grok-3, grok-3-r1, o3-mini`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[liaobots.work](https://liaobots.work)|[Automatic cookies](https://liaobots.work)|`g4f.Provider.Liaobots`|`claude-3.5-sonnet, claude-3.7-sonnet, claude-3.7-sonnet-thinking, claude-3-opus, claude-3-sonnet, deepseek-r1, deepseek-v3, gemini-2.0-flash, gemini-2.0-flash-thinking, gemini-2.0-pro, gpt-4, gpt-4o, gpt-4o-mini, grok-3, grok-3-r1, o3-mini`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[oi-vscode-server.onrender.com](https://oi-vscode-server.onrender.com)|No auth required|`g4f.Provider.OIVSCode`|`gpt-4o-mini, deepseek-v3`|❌|❌|`gpt-4o-mini`|![](https://img.shields.io/badge/Active-brightgreen)| |[oi-vscode-server.onrender.com](https://oi-vscode-server.onrender.com)|No auth required|`g4f.Provider.OIVSCode`|`gpt-4o-mini, deepseek-v3`|❌|❌|❌|`gpt-4o-mini`|![](https://img.shields.io/badge/Active-brightgreen)|
|[labs.perplexity.ai](https://labs.perplexity.ai)|No auth required|`g4f.Provider.PerplexityLabs`|`sonar, sonar-pro, sonar-reasoning, sonar-reasoning-pro`|❌|❌|❌|![Error](https://img.shields.io/badge/Active-brightgreen)| |[labs.perplexity.ai](https://labs.perplexity.ai)|No auth required|`g4f.Provider.PerplexityLabs`|`sonar, sonar-pro, sonar-reasoning, sonar-reasoning-pro`|❌|❌|❌|❌|![Error](https://img.shields.io/badge/Active-brightgreen)|
|[pi.ai/talk](https://pi.ai/talk)|[Manual cookies](https://pi.ai/talk)|`g4f.Provider.Pi`|`pi`|❌|❌|❌|![Error](https://img.shields.io/badge/Active-brightgreen)| |[pi.ai/talk](https://pi.ai/talk)|[Manual cookies](https://pi.ai/talk)|`g4f.Provider.Pi`|`pi`|❌|❌|❌|❌|![Error](https://img.shields.io/badge/Active-brightgreen)|
|[pizzagpt.it](https://www.pizzagpt.it)|No auth required|`g4f.Provider.Pizzagpt`|`gpt-4o-mini`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[pizzagpt.it](https://www.pizzagpt.it)|No auth required|`g4f.Provider.Pizzagpt`|`gpt-4o-mini`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[pollinations.ai](https://pollinations.ai)|No auth required|`g4f.Provider.PollinationsAI`|`gpt-4o-mini, gpt-4o, o1-mini, qwen-2.5-coder-32b, llama-3.3-70b, mistral-nemo, llama-3.1-8b, deepseek-r1, phi-4` _**(9+)**_|`flux, flux-pro, flux-dev, flux-schnell, dall-e-3, sdxl-turbo`|`gpt-4o-audio`|`gpt-4o, gpt-4o-mini, o1-mini, o3-mini`|![](https://img.shields.io/badge/Active-brightgreen)| |[pollinations.ai](https://pollinations.ai)|No auth required|`g4f.Provider.PollinationsAI`|`gpt-4o-mini, gpt-4o, o1-mini, qwen-2.5-coder-32b, llama-3.3-70b, mistral-nemo, llama-3.1-8b, deepseek-r1, phi-4. qwq-32b, deepseek-v3, llama-3.2-11b` _**(9+)**_|`flux, flux-pro, flux-dev, flux-schnell, dall-e-3, sdxl-turbo`|`gpt-4o-audio` _**(3+)**_|❌|`gpt-4o, gpt-4o-mini, o1-mini, o3-mini`|![](https://img.shields.io/badge/Active-brightgreen)|
|[pollinations.ai](https://pollinations.ai)|No auth required|`g4f.Provider.PollinationsImage`|❌|`flux, flux-pro, flux-dev, flux-schnell, dall-e-3, sdxl-turbo`|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[pollinations.ai](https://pollinations.ai)|No auth required|`g4f.Provider.PollinationsImage`|❌|`flux, flux-pro, flux-dev, flux-schnell, dall-e-3, sdxl-turbo`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[teach-anything.com](https://www.teach-anything.com)|No auth required|`g4f.Provider.TeachAnything`|`gemini-1.5-pro, gemini-1.5-flash`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[teach-anything.com](https://www.teach-anything.com)|No auth required|`g4f.Provider.TeachAnything`|`gemini-1.5-pro, gemini-1.5-flash`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[chat.typegpt.net](https://chat.typegpt.net)|No auth required|`g4f.Provider.TypeGPT`|`gpt-3.5-turbo, o3-mini, deepseek-r1, deepseek-v3, evil, o1`|❌|❌|`gpt-3.5-turbo, o3-mini`|![](https://img.shields.io/badge/Active-brightgreen)| |[chat.typegpt.net](https://chat.typegpt.net)|No auth required|`g4f.Provider.TypeGPT`|`gpt-3.5-turbo, o3-mini, deepseek-r1, deepseek-v3, evil, o1`|❌|❌|❌|`gpt-3.5-turbo, o3-mini`|![](https://img.shields.io/badge/Active-brightgreen)|
|[you.com](https://you.com)|[Manual cookies](https://you.com)|`g4f.Provider.You`|✔|✔|❌|✔|![](https://img.shields.io/badge/Active-brightgreen)| |[you.com](https://you.com)|[Manual cookies](https://you.com)|`g4f.Provider.You`|✔|✔|❌|❌|✔|![](https://img.shields.io/badge/Active-brightgreen)|
|[websim.ai](https://websim.ai)|No auth required|`g4f.Provider.Websim`|`gemini-1.5-pro, gemini-1.5-flash`|`flux`|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[websim.ai](https://websim.ai)|No auth required|`g4f.Provider.Websim`|`gemini-1.5-pro, gemini-1.5-flash`|`flux`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[chat9.yqcloud.top](https://chat9.yqcloud.top)|No auth required|`g4f.Provider.Yqcloud`|`gpt-4`|✔|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[chat9.yqcloud.top](https://chat9.yqcloud.top)|No auth required|`g4f.Provider.Yqcloud`|`gpt-4`|✔|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
--- ---
### Providers HuggingFace ### Providers HuggingFace
| Website | API Credentials | Provider | Text generation | Image generation | Audio generation | Vision (Image Upload) | Status | | Website | API Credentials | Provider | Text generation | Image generation | Audio generation | Video generation | Vision (Image Upload) | Status |
|----------|-------------|--------------|---------------|--------|--------|------|------| |----------|-------------|--------------|---------------|--------|--------|------|------|------|
|[huggingface.co/chat](https://huggingface.co/chat)|[Manual cookies](https://huggingface.co/chat)|`g4f.Provider.HuggingChat`|`qwen-2.5-72b, llama-3.3-70b, command-r-plus, deepseek-r1, qwq-32b, nemotron-70b, llama-3.2-11b, mistral-nemo, phi-3.5-mini`|`flux-dev, flux-schnell`|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[huggingface.co/chat](https://huggingface.co/chat)|[Manual cookies](https://huggingface.co/chat)|`g4f.Provider.HuggingChat`|`qwen-2.5-72b, llama-3.3-70b, command-r-plus, deepseek-r1, qwq-32b, nemotron-70b, llama-3.2-11b, mistral-nemo, phi-3.5-mini`|`flux-dev, flux-schnell`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[huggingface.co/chat](https://huggingface.co/chat)|[API key / Cookies](https://huggingface.co/settings/tokens)|`g4f.Provider.HuggingFace`|✔ _**(47+)**_|✔ _**(9+)**_|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[huggingface.co/chat](https://huggingface.co/chat)|[API key / Cookies](https://huggingface.co/settings/tokens)|`g4f.Provider.HuggingFace`|✔ _**(47+)**_|✔ _**(9+)**_|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[api-inference.huggingface.co](https://api-inference.huggingface.co)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.HuggingFaceAPI`|✔ _**(9+)**_|✔ _**(2+)**_|❌|✔ _**(1+)**_|![](https://img.shields.io/badge/Active-brightgreen)| |[api-inference.huggingface.co](https://api-inference.huggingface.co)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.HuggingFaceAPI`|✔ _**(9+)**_|✔ _**(2+)**_|❌|❌|✔ _**(1+)**_|![](https://img.shields.io/badge/Active-brightgreen)|
--- ---
### Providers HuggingSpace ### Providers HuggingSpace
| Website | API Credentials | Provider | Text generation | Image generation | Audio generation | Vision (Image Upload) | Status | | Website | API Credentials | Provider | Text generation | Image generation | Audio generation | Video generation | Vision (Image Upload) | Status |
|----------|-------------|--------------|---------------|--------|--------|------|------| |----------|-------------|--------------|---------------|--------|--------|------|------|------|
|[black-forest-labs-flux-1-dev.hf.space](https://black-forest-labs-flux-1-dev.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.BlackForestLabs_Flux1Dev`|❌|`flux, flux-dev`|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[black-forest-labs-flux-1-dev.hf.space](https://black-forest-labs-flux-1-dev.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.BlackForestLabs_Flux1Dev`|❌|`flux, flux-dev`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[black-forest-labs-flux-1-schnell.hf.space](https://black-forest-labs-flux-1-schnell.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.BlackForestLabs_Flux1Schnell`|❌|`flux, flux-schnell`|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[black-forest-labs-flux-1-schnell.hf.space](https://black-forest-labs-flux-1-schnell.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.BlackForestLabs_Flux1Schnell`|❌|`flux, flux-schnell`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[cohereforai-c4ai-command.hf.space](https://cohereforai-c4ai-command.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.CohereForAI_C4AI_Command`|`command-r, command-r-plus, command-r7b`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[cohereforai-c4ai-command.hf.space](https://cohereforai-c4ai-command.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.CohereForAI_C4AI_Command`|`command-r, command-r-plus, command-r7b`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[huggingface.co/spaces/deepseek-ai/Janus-Pro-7B](https://huggingface.co/spaces/deepseek-ai/Janus-Pro-7B)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.DeepseekAI_Janus_Pro_7b`|✔|✔|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[huggingface.co/spaces/deepseek-ai/Janus-Pro-7B](https://huggingface.co/spaces/deepseek-ai/Janus-Pro-7B)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.DeepseekAI_Janus_Pro_7b`|✔|✔|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[roxky-flux-1-dev.hf.space](https://roxky-flux-1-dev.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.G4F`|✔ _**(1+)**_|✔ _**(4+)**_|❌|✔ _**(1+)**_|![](https://img.shields.io/badge/Active-brightgreen)| |[roxky-flux-1-dev.hf.space](https://roxky-flux-1-dev.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.G4F`|✔ _**(1+)**_|✔ _**(4+)**_|❌|❌|✔ _**(1+)**_|![](https://img.shields.io/badge/Active-brightgreen)|
|[microsoft-phi-4-multimodal.hf.space](https://microsoft-phi-4-multimodal.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.Microsoft_Phi_4`|`phi-4`|❌|❌|`phi-4`|![](https://img.shields.io/badge/Active-brightgreen)| |[microsoft-phi-4-multimodal.hf.space](https://microsoft-phi-4-multimodal.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.Microsoft_Phi_4`|`phi-4`|❌|❌|❌|`phi-4`|![](https://img.shields.io/badge/Active-brightgreen)|
|[qwen-qvq-72b-preview.hf.space](https://qwen-qvq-72b-preview.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.Qwen_QVQ_72B`|`qvq-72b`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[qwen-qvq-72b-preview.hf.space](https://qwen-qvq-72b-preview.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.Qwen_QVQ_72B`|`qvq-72b`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[qwen-qwen2-5.hf.space](https://qwen-qwen2-5.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.Qwen_Qwen_2_5`|`qwen-2.5`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[qwen-qwen2-5.hf.space](https://qwen-qwen2-5.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.Qwen_Qwen_2_5`|`qwen-2.5`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[qwen-qwen2-5-1m-demo.hf.space](https://qwen-qwen2-5-1m-demo.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.Qwen_Qwen_2_5M`|`qwen-2.5-1m`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[qwen-qwen2-5-1m-demo.hf.space](https://qwen-qwen2-5-1m-demo.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.Qwen_Qwen_2_5M`|`qwen-2.5-1m`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[qwen-qwen2-5-max-demo.hf.space](https://qwen-qwen2-5-max-demo.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.Qwen_Qwen_2_5_Max`|`qwen-2-5-max`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[qwen-qwen2-5-max-demo.hf.space](https://qwen-qwen2-5-max-demo.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.Qwen_Qwen_2_5_Max`|`qwen-2-5-max`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[qwen-qwen2-72b-instruct.hf.space](https://qwen-qwen2-72b-instruct.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.Qwen_Qwen_2_72B`|`qwen-2-72b`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[qwen-qwen2-72b-instruct.hf.space](https://qwen-qwen2-72b-instruct.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.Qwen_Qwen_2_72B`|`qwen-2-72b`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[stabilityai-stable-diffusion-3-5-large.hf.space](https://stabilityai-stable-diffusion-3-5-large.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.StabilityAI_SD35Large`|❌|`sd-3.5`|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[stabilityai-stable-diffusion-3-5-large.hf.space](https://stabilityai-stable-diffusion-3-5-large.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.StabilityAI_SD35Large`|❌|`sd-3.5`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[voodoohop-flux-1-schnell.hf.space](https://voodoohop-flux-1-schnell.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.Voodoohop_Flux1Schnell`|❌|`flux, flux-schnell`|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[voodoohop-flux-1-schnell.hf.space](https://voodoohop-flux-1-schnell.hf.space)|[Get API key](https://huggingface.co/settings/tokens)|`g4f.Provider.Voodoohop_Flux1Schnell`|❌|`flux, flux-schnell`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
### Providers Local ### Providers Local
| Website | API Credentials | Provider | Text generation | Image generation | Audio generation | Vision (Image Upload) | Status | | Website | API Credentials | Provider | Text generation | Image generation | Audio generation | Video generation | Vision (Image Upload) | Status |
|----------|-------------|--------------|---------------|--------|--------|------|------| |----------|-------------|--------------|---------------|--------|--------|------|------|------|
|[]( )|No auth required|`g4f.Provider.Local`|✔|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[]( )|No auth required|`g4f.Provider.Local`|✔|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[ollama.com](https://ollama.com)|No auth required|`g4f.Provider.Ollama`|✔|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[ollama.com](https://ollama.com)|No auth required|`g4f.Provider.Ollama`|✔|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
--- ---
### Providers MiniMax ### Providers MiniMax
| Website | API Credentials | Provider | Text generation | Image generation | Audio generation | Vision (Image Upload) | Status | | Website | API Credentials | Provider | Text generation | Image generation | Audio generation | Video generation | Vision (Image Upload) | Status |
|----------|-------------|--------------|---------------|--------|--------|------|------| |----------|-------------|--------------|---------------|--------|--------|------|------|------|
|[hailuo.ai/chat](https://www.hailuo.ai/chat)|[Get API key](https://intl.minimaxi.com/user-center/basic-information/interface-key)|`g4f.Provider.MiniMax`|`MiniMax` _**(1+)**_|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[hailuo.ai/chat](https://www.hailuo.ai/chat)|[Get API key](https://intl.minimaxi.com/user-center/basic-information/interface-key)|`g4f.Provider.MiniMax`|`MiniMax` _**(1+)**_|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
--- ---
### Providers Needs Auth ### Providers Needs Auth
| Website | API Credentials | Provider | Text generation | Image generation | Audio generation | Vision (Image Upload) | Status | | Website | API Credentials | Provider | Text generation | Image generation | Audio generation | Video generation | Vision (Image Upload) | Status |
|----------|-------------|--------------|---------------|--------|--------|------|------| |----------|-------------|--------------|---------------|--------|--------|------|------|------|
|[console.anthropic.com](https://console.anthropic.com)|[Get API key](https://console.anthropic.com/settings/keys)|`g4f.Provider.Anthropic`|✔ _**(8+)**_|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[console.anthropic.com](https://console.anthropic.com)|[Get API key](https://console.anthropic.com/settings/keys)|`g4f.Provider.Anthropic`|✔ _**(8+)**_|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[bing.com/images/create](https://www.bing.com/images/create)|[Manual cookies](https://www.bing.com)|`g4f.Provider.BingCreateImages`|❌|`dall-e-3`|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[bing.com/images/create](https://www.bing.com/images/create)|[Manual cookies](https://www.bing.com)|`g4f.Provider.BingCreateImages`|❌|`dall-e-3`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[cablyai.com/chat](https://cablyai.com/chat)|[Get API key](https://cablyai.com)|`g4f.Provider.CablyAI`|✔|✔|❌|✔|![](https://img.shields.io/badge/Active-brightgreen)| |[cablyai.com/chat](https://cablyai.com/chat)|[Get API key](https://cablyai.com)|`g4f.Provider.CablyAI`|✔|✔|❌|❌|✔|![](https://img.shields.io/badge/Active-brightgreen)|
|[inference.cerebras.ai](https://inference.cerebras.ai/)|[Get API key](https://cloud.cerebras.ai)|`g4f.Provider.Cerebras`|✔ _**(3+)**_|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[inference.cerebras.ai](https://inference.cerebras.ai/)|[Get API key](https://cloud.cerebras.ai)|`g4f.Provider.Cerebras`|✔ _**(3+)**_|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[copilot.microsoft.com](https://copilot.microsoft.com)|[Manual cookies](https://copilot.microsoft.com)|`g4f.Provider.CopilotAccount`|✔ _**(1+)**_|✔ _**(1+)**_|❌|✔ _**(1+)**_|![](https://img.shields.io/badge/Active-brightgreen)| |[copilot.microsoft.com](https://copilot.microsoft.com)|[Manual cookies](https://copilot.microsoft.com)|`g4f.Provider.CopilotAccount`|✔ _**(1+)**_|✔ _**(1+)**_|❌|❌|✔ _**(1+)**_|![](https://img.shields.io/badge/Active-brightgreen)|
|[deepinfra.com](https://deepinfra.com)|[Get API key](https://deepinfra.com/dash/api_keys)|`g4f.Provider.DeepInfra`|✔ _**(17+)**_|✔ _**(6+)**_|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[deepinfra.com](https://deepinfra.com)|[Get API key](https://deepinfra.com/dash/api_keys)|`g4f.Provider.DeepInfra`|✔ _**(17+)**_|✔ _**(6+)**_|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[platform.deepseek.com](https://platform.deepseek.com)|[Get API key](https://platform.deepseek.com/api_keys)|`g4f.Provider.DeepSeek`|✔ _**(1+)**_|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[platform.deepseek.com](https://platform.deepseek.com)|[Get API key](https://platform.deepseek.com/api_keys)|`g4f.Provider.DeepSeek`|✔ _**(1+)**_|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[gemini.google.com](https://gemini.google.com)|[Manual cookies](https://gemini.google.com)|`g4f.Provider.Gemini`|`gemini-2.0`|`gemini-2.0`|❌|`gemini-2.0`|![](https://img.shields.io/badge/Active-brightgreen)| |[gemini.google.com](https://gemini.google.com)|[Manual cookies](https://gemini.google.com)|`g4f.Provider.Gemini`|`gemini-2.0`|`gemini-2.0`|❌|❌|`gemini-2.0`|![](https://img.shields.io/badge/Active-brightgreen)|
|[ai.google.dev](https://ai.google.dev)|[Get API key](https://aistudio.google.com/u/0/apikey)|`g4f.Provider.GeminiPro`|`gemini-1.5-flash, gemini-1.5-pro, gemini-2.0-flash`|❌|❌|`gemini-1.5-pro`|![](https://img.shields.io/badge/Active-brightgreen)| |[ai.google.dev](https://ai.google.dev)|[Get API key](https://aistudio.google.com/u/0/apikey)|`g4f.Provider.GeminiPro`|`gemini-1.5-flash, gemini-1.5-pro, gemini-2.0-flash`|❌|❌|❌|`gemini-1.5-pro`|![](https://img.shields.io/badge/Active-brightgreen)|
|[developers.sber.ru/gigachat](https://developers.sber.ru/gigachat)|[Manual cookies](https://developers.sber.ru/gigachat)|`g4f.Provider.GigaChat`|✔ _**(3+)**_|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[developers.sber.ru/gigachat](https://developers.sber.ru/gigachat)|[Manual cookies](https://developers.sber.ru/gigachat)|`g4f.Provider.GigaChat`|✔ _**(3+)**_|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[github.com/copilot](https://github.com/copilot)|[Manual cookies](https://github.com/copilot)|`g4f.Provider.GithubCopilot`|✔ _**(4+)**_|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[github.com/copilot](https://github.com/copilot)|[Manual cookies](https://github.com/copilot)|`g4f.Provider.GithubCopilot`|✔ _**(4+)**_|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[glhf.chat](https://glhf.chat)|[Get API key](https://glhf.chat/user-settings/api)|`g4f.Provider.GlhfChat`|✔ _**(22+)**_|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[glhf.chat](https://glhf.chat)|[Get API key](https://glhf.chat/user-settings/api)|`g4f.Provider.GlhfChat`|✔ _**(22+)**_|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[console.groq.com/playground](https://console.groq.com/playground)|[Get API key](https://console.groq.com/keys)|`g4f.Provider.Groq`|✔ _**(18+)**_|❌|❌|✔|![](https://img.shields.io/badge/Active-brightgreen)| |[console.groq.com/playground](https://console.groq.com/playground)|[Get API key](https://console.groq.com/keys)|`g4f.Provider.Groq`|✔ _**(18+)**_|❌|❌|❌|✔|![](https://img.shields.io/badge/Active-brightgreen)|
|[meta.ai](https://www.meta.ai)|[Manual cookies](https://www.meta.ai)|`g4f.Provider.MetaAI`|`meta-ai`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[meta.ai](https://www.meta.ai)|[Manual cookies](https://www.meta.ai)|`g4f.Provider.MetaAI`|`meta-ai`|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[meta.ai](https://www.meta.ai)|[Manual cookies](https://www.meta.ai)|`g4f.Provider.MetaAIAccount`|❌|`meta-ai`|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[meta.ai](https://www.meta.ai)|[Manual cookies](https://www.meta.ai)|`g4f.Provider.MetaAIAccount`|❌|`meta-ai`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[designer.microsoft.com](https://designer.microsoft.com)|[Manual cookies](https://designer.microsoft.com)|`g4f.Provider.MicrosoftDesigner`|❌|`dall-e-3`|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[designer.microsoft.com](https://designer.microsoft.com)|[Manual cookies](https://designer.microsoft.com)|`g4f.Provider.MicrosoftDesigner`|❌|`dall-e-3`|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[platform.openai.com](https://platform.openai.com)|[Get API key](https://platform.openai.com/settings/organization/api-keys)|`g4f.Provider.OpenaiAPI`|✔|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[platform.openai.com](https://platform.openai.com)|[Get API key](https://platform.openai.com/settings/organization/api-keys)|`g4f.Provider.OpenaiAPI`|✔|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[chatgpt.com](https://chatgpt.com)|[Manual cookies](https://chatgpt.com)|`g4f.Provider.OpenaiChat`|`gpt-4o, gpt-4o-mini, gpt-4` _**(8+)**_|✔ _**(1)**_|❌|✔ _**(8+)**_|![](https://img.shields.io/badge/Active-brightgreen)| |[chatgpt.com](https://chatgpt.com)|[Manual cookies](https://chatgpt.com)|`g4f.Provider.OpenaiChat`|`gpt-4o, gpt-4o-mini, gpt-4` _**(8+)**_|✔ _**(1)**_|❌|❌|✔ _**(8+)**_|![](https://img.shields.io/badge/Active-brightgreen)|
|[perplexity.ai](https://www.perplexity.ai)|[Get API key](https://www.perplexity.ai/settings/api)|`g4f.Provider.PerplexityApi`|✔ _**(6+)**_|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[perplexity.ai](https://www.perplexity.ai)|[Get API key](https://www.perplexity.ai/settings/api)|`g4f.Provider.PerplexityApi`|✔ _**(6+)**_|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[chat.reka.ai](https://chat.reka.ai)|[Manual cookies](https://chat.reka.ai)|`g4f.Provider.Reka`|`reka-core`|✔|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[chatgpt.com](https://chatgpt.com)|[Manual cookies](https://chatgpt.com)|`g4f.Provider.OpenaiChat`|`gpt-4o, gpt-4o-mini, gpt-4` _**(8+)**_|✔ _**(1)**_|❌|❌|✔ _**(8+)**_|![](https://img.shields.io/badge/Active-brightgreen)|
|[replicate.com](https://replicate.com)|[Get API key](https://replicate.com/account/api-tokens)|`g4f.Provider.Replicate`|✔ _**(1+)**_|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[perplexity.ai](https://www.perplexity.ai)|[Get API key](https://www.perplexity.ai/settings/api)|`g4f.Provider.PerplexityApi`|✔ _**(6+)**_|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[beta.theb.ai](https://beta.theb.ai)|[Get API key](https://beta.theb.ai)|`g4f.Provider.ThebApi`|✔ _**(21+)**_|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[chat.reka.ai](https://chat.reka.ai)|[Manual cookies](https://chat.reka.ai)|`g4f.Provider.Reka`|`reka-core`|✔|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[whiterabbitneo.com](https://www.whiterabbitneo.com)|[Manual cookies](https://www.whiterabbitneo.com)|`g4f.Provider.WhiteRabbitNeo`|✔|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[replicate.com](https://replicate.com)|[Get API key](https://replicate.com/account/api-tokens)|`g4f.Provider.Replicate`|✔ _**(1+)**_|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[console.x.ai](https://console.x.ai)|[Get API key](https://console.x.ai)|`g4f.Provider.xAI`|✔|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)| |[beta.theb.ai](https://beta.theb.ai)|[Get API key](https://beta.theb.ai)|`g4f.Provider.ThebApi`|✔ _**(21+)**_|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[whiterabbitneo.com](https://www.whiterabbitneo.com)|[Manual cookies](https://www.whiterabbitneo.com)|`g4f.Provider.WhiteRabbitNeo`|✔|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
|[console.x.ai](https://console.x.ai)|[Get API key](https://console.x.ai)|`g4f.Provider.xAI`|✔|❌|❌|❌|❌|![](https://img.shields.io/badge/Active-brightgreen)|
--- ---
## Models ## Models
@@ -160,13 +163,13 @@ This document provides an overview of various AI providers and models, including
|llama-3.1-405b|Meta Llama|2+ Providers|[huggingface.co](https://huggingface.co/meta-llama/Llama-3.1-405B)| |llama-3.1-405b|Meta Llama|2+ Providers|[huggingface.co](https://huggingface.co/meta-llama/Llama-3.1-405B)|
|llama-3.2-1b|Meta Llama|1+ Providers|[huggingface.co](https://huggingface.co/meta-llama/Llama-3.2-1B)| |llama-3.2-1b|Meta Llama|1+ Providers|[huggingface.co](https://huggingface.co/meta-llama/Llama-3.2-1B)|
|llama-3.2-3b|Meta Llama|1+ Providers|[huggingface.co](https://huggingface.co/meta-llama/Llama-3.2-3B)| |llama-3.2-3b|Meta Llama|1+ Providers|[huggingface.co](https://huggingface.co/meta-llama/Llama-3.2-3B)|
|llama-3.2-11b|Meta Llama|3+ Providers|[ai.meta.com](https://ai.meta.com/blog/llama-3-2-connect-2024-vision-edge-mobile-devices/)| |llama-3.2-11b|Meta Llama|4+ Providers|[ai.meta.com](https://ai.meta.com/blog/llama-3-2-connect-2024-vision-edge-mobile-devices/)|
|llama-3.2-90b|Meta Llama|2+ Providers|[huggingface.co](https://huggingface.co/meta-llama/Llama-3.2-90B-Vision)| |llama-3.2-90b|Meta Llama|2+ Providers|[huggingface.co](https://huggingface.co/meta-llama/Llama-3.2-90B-Vision)|
|llama-3.3-70b|Meta Llama|7+ Providers|[ai.meta.com](https://ai.meta.com/blog/llama-3-3/)| |llama-3.3-70b|Meta Llama|8+ Providers|[ai.meta.com](https://ai.meta.com/blog/llama-3-3/)|
|mixtral-8x7b|Mistral|1+ Providers|[mistral.ai](https://mistral.ai/news/mixtral-of-experts/)| |mixtral-8x7b|Mistral|1+ Providers|[mistral.ai](https://mistral.ai/news/mixtral-of-experts/)|
|mixtral-8x22b|Mistral|1+ Providers|[huggingface.co](https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1)| |mixtral-8x22b|Mistral|1+ Providers|[huggingface.co](https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1)|
|mistral-nemo|Mistral|3+ Providers|[huggingface.co](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407)| |mistral-nemo|Mistral|3+ Providers|[huggingface.co](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407)|
|mixtral-small-24b|Mistral|2+ Providers|[huggingface.co](https://huggingface.co/mistralai/Mistral-Small-24B-Instruct-2501)| |mixtral-small-24b|Mistral|3+ Providers|[huggingface.co](https://huggingface.co/mistralai/Mistral-Small-24B-Instruct-2501)|
|hermes-3|NousResearch|1+ Providers|[huggingface.co](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-405B-FP8)| |hermes-3|NousResearch|1+ Providers|[huggingface.co](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-405B-FP8)|
|phi-3.5-mini|Microsoft|1+ Providers|[huggingface.co](https://huggingface.co/microsoft/Phi-3.5-mini-instruct)| |phi-3.5-mini|Microsoft|1+ Providers|[huggingface.co](https://huggingface.co/microsoft/Phi-3.5-mini-instruct)|
|phi-4|Microsoft|3+ Providers|[techcommunity.microsoft.com](https://techcommunity.microsoft.com/blog/aiplatformblog/introducing-phi-4-microsoft%E2%80%99s-newest-small-language-model-specializing-in-comple/4357090)| |phi-4|Microsoft|3+ Providers|[techcommunity.microsoft.com](https://techcommunity.microsoft.com/blog/aiplatformblog/introducing-phi-4-microsoft%E2%80%99s-newest-small-language-model-specializing-in-comple/4357090)|
@@ -199,11 +202,11 @@ This document provides an overview of various AI providers and models, including
|qwen-2.5-coder-32b|Qwen|3+ Providers|[huggingface.co](https://huggingface.co/Qwen/Qwen2.5-Coder-32B)| |qwen-2.5-coder-32b|Qwen|3+ Providers|[huggingface.co](https://huggingface.co/Qwen/Qwen2.5-Coder-32B)|
|qwen-2.5-1m|Qwen|1+ Providers|[huggingface.co](https://huggingface.co/Qwen/Qwen2.5-1M-Demo)| |qwen-2.5-1m|Qwen|1+ Providers|[huggingface.co](https://huggingface.co/Qwen/Qwen2.5-1M-Demo)|
|qwen-2-5-max|Qwen|1+ Providers|[qwen-ai.com](https://www.qwen-ai.com/2-5-max/)| |qwen-2-5-max|Qwen|1+ Providers|[qwen-ai.com](https://www.qwen-ai.com/2-5-max/)|
|qwq-32b|Qwen|2+ Providers|[huggingface.co](https://huggingface.co/Qwen/QwQ-32B-Preview)| |qwq-32b|Qwen|4+ Providers|[huggingface.co](https://huggingface.co/Qwen/QwQ-32B-Preview)|
|qvq-72b|Qwen|1+ Providers|[huggingface.co](https://huggingface.co/Qwen/QVQ-72B-Preview)| |qvq-72b|Qwen|1+ Providers|[huggingface.co](https://huggingface.co/Qwen/QVQ-72B-Preview)|
|pi|Inflection|1+ Providers|[inflection.ai](https://inflection.ai/blog/inflection-2-5)| |pi|Inflection|1+ Providers|[inflection.ai](https://inflection.ai/blog/inflection-2-5)|
|deepseek-chat|DeepSeek|2+ Providers|[huggingface.co](https://huggingface.co/deepseek-ai/deepseek-llm-67b-chat)| |deepseek-chat|DeepSeek|2+ Providers|[huggingface.co](https://huggingface.co/deepseek-ai/deepseek-llm-67b-chat)|
|deepseek-v3|DeepSeek|5+ Providers|[api-docs.deepseek.com](https://api-docs.deepseek.com/news/news250120)| |deepseek-v3|DeepSeek|6+ Providers|[api-docs.deepseek.com](https://api-docs.deepseek.com/news/news250120)|
|deepseek-r1|DeepSeek|10+ Providers|[api-docs.deepseek.com](https://api-docs.deepseek.com/news/news250120)| |deepseek-r1|DeepSeek|10+ Providers|[api-docs.deepseek.com](https://api-docs.deepseek.com/news/news250120)|
|janus-pro-7b|DeepSeek|2+ Providers|[api-docs.deepseek.com](https://api-docs.deepseek.com/docs/janus-pro-7b)| |janus-pro-7b|DeepSeek|2+ Providers|[api-docs.deepseek.com](https://api-docs.deepseek.com/docs/janus-pro-7b)|
|grok-3|x.ai|1+ Providers|[x.ai](https://x.ai/blog/grok-3)| |grok-3|x.ai|1+ Providers|[x.ai](https://x.ai/blog/grok-3)|
@@ -223,11 +226,13 @@ This document provides an overview of various AI providers and models, including
|airoboros-70b|DeepInfra|1+ Providers|[huggingface.co](https://huggingface.co/cognitivecomputations/dolphin-2.9.1-llama-3-70b)| |airoboros-70b|DeepInfra|1+ Providers|[huggingface.co](https://huggingface.co/cognitivecomputations/dolphin-2.9.1-llama-3-70b)|
|lzlv-70b|Lizpreciatior|1+ Providers|[huggingface.co](https://huggingface.co/cognitivecomputations/dolphin-2.9.1-llama-3-70b)| |lzlv-70b|Lizpreciatior|1+ Providers|[huggingface.co](https://huggingface.co/cognitivecomputations/dolphin-2.9.1-llama-3-70b)|
|minicpm-2.5|OpenBMB|1+ Providers|[huggingface.co](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5)| |minicpm-2.5|OpenBMB|1+ Providers|[huggingface.co](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5)|
|tulu-3-405b|Ai2|1+ Providers|[allenai.org](https://allenai.org/documentation)|
|olmo-2-13b|Ai2|1+ Providers|[allenai.org](https://allenai.org/documentation)|
|tulu-3-1-8b|Ai2|1+ Providers|[allenai.org](https://allenai.org/documentation)| |tulu-3-1-8b|Ai2|1+ Providers|[allenai.org](https://allenai.org/documentation)|
|tulu-3-70b|Ai2|1+ Providers|[allenai.org](https://allenai.org/documentation)| |tulu-3-70b|Ai2|1+ Providers|[allenai.org](https://allenai.org/documentation)|
|olmoe-0125|Ai2|1+ Providers|[allenai.org](https://allenai.org/documentation)| |tulu-3-405b|Ai2|1+ Providers|[allenai.org](https://allenai.org/documentation)|
|olmo-1-7b|Ai2|1+ Providers|[allenai.org](https://allenai.org/olmo)|
|olmo-2-13b|Ai2|1+ Providers|[allenai.org](https://allenai.org/olmo)|
|olmo-2-32b|Ai2|1+ Providers|[allenai.org](https://allenai.org/olmo)|
|olmo-4-synthetic|Ai2|1+ Providers|[allenai.org](https://allenai.org/olmo)|
|lfm-40b|Liquid AI|1+ Providers|[liquid.ai](https://www.liquid.ai/liquid-foundation-models)| |lfm-40b|Liquid AI|1+ Providers|[liquid.ai](https://www.liquid.ai/liquid-foundation-models)|
|evil|Evil Mode - Experimental|2+ Providers|[]( )| |evil|Evil Mode - Experimental|2+ Providers|[]( )|
@@ -237,7 +242,7 @@ This document provides an overview of various AI providers and models, including
|-------|---------------|-----------|---------| |-------|---------------|-----------|---------|
|sdxl-turbo|Stability AI|2+ Providers|[huggingface.co](https://huggingface.co/stabilityai/sdxl-turbo)| |sdxl-turbo|Stability AI|2+ Providers|[huggingface.co](https://huggingface.co/stabilityai/sdxl-turbo)|
|sd-3.5|Stability AI|1+ Providers|[huggingface.co](https://huggingface.co/stabilityai/stable-diffusion-3.5-large)| |sd-3.5|Stability AI|1+ Providers|[huggingface.co](https://huggingface.co/stabilityai/stable-diffusion-3.5-large)|
|flux|Black Forest Labs|4+ Providers|[github.com/black-forest-labs/flux](https://github.com/black-forest-labs/flux)| |flux|Black Forest Labs|5+ Providers|[github.com/black-forest-labs/flux](https://github.com/black-forest-labs/flux)|
|flux-pro|Black Forest Labs|1+ Providers|[huggingface.co](https://huggingface.co/enhanceaiteam/FLUX.1-Pro)| |flux-pro|Black Forest Labs|1+ Providers|[huggingface.co](https://huggingface.co/enhanceaiteam/FLUX.1-Pro)|
|flux-dev|Black Forest Labs|4+ Providers|[huggingface.co](https://huggingface.co/black-forest-labs/FLUX.1-dev)| |flux-dev|Black Forest Labs|4+ Providers|[huggingface.co](https://huggingface.co/black-forest-labs/FLUX.1-dev)|
|flux-schnell|Black Forest Labs|4+ Providers|[huggingface.co](https://huggingface.co/black-forest-labs/FLUX.1-schnell)| |flux-schnell|Black Forest Labs|4+ Providers|[huggingface.co](https://huggingface.co/black-forest-labs/FLUX.1-schnell)|

105
etc/tool/commit.py Executable file
View File

@@ -0,0 +1,105 @@
#!/usr/bin/env python3
"""
AI Commit Message Generator using gpt4free (g4f)
This tool uses AI to generate meaningful git commit messages based on
staged changes. It analyzes the git diff and suggests appropriate commit
messages following conventional commit format.
Usage:
python -m etc.tool.commit
"""
import subprocess
import sys
from g4f.client import Client
def get_git_diff():
"""Get the current git diff for staged changes"""
try:
diff_process = subprocess.run(
["git", "diff", "--staged"],
capture_output=True,
text=True
)
return diff_process.stdout
except Exception as e:
print(f"Error running git diff: {e}")
return None
def generate_commit_message(diff_text):
"""Generate a commit message based on the git diff"""
if not diff_text or diff_text.strip() == "":
return "No changes staged for commit"
client = Client()
prompt = f"""
{diff_text}
```
Analyze ONLY the exact changes in this git diff and create a precise commit message.
FORMAT:
1. First line: "<type>: <summary>" (max 70 chars)
- Type: feat, fix, docs, refactor, test, etc.
- Summary must describe ONLY actual changes shown in the diff
2. Leave one blank line
3. Add sufficient bullet points to:
- Describe ALL specific changes seen in the diff
- Reference exact functions/files/components that were modified
- Do NOT mention anything not explicitly shown in the code changes
- Avoid general statements or assumptions not directly visible in diff
- Include enough points to cover all significant changes (don't limit to a specific number)
IMPORTANT: Be 100% factual. Only mention code that was actually changed. Never invent or assume changes not shown in the diff. If unsure about a change's purpose, describe what changed rather than why. Output nothing except for the commit message, and don't surround it in quotes.
"""
try:
response = client.chat.completions.create(
model="claude-3.7-sonnet",
messages=[{"role": "user", "content": prompt}]
)
return response.choices[0].message.content.strip()
except Exception as e:
print(f"Error generating commit message: {e}")
return None
def main():
print("Fetching git diff...")
diff = get_git_diff()
if diff is None:
print("Failed to get git diff. Are you in a git repository?")
sys.exit(1)
if diff.strip() == "":
print("No changes staged for commit. Stage changes with 'git add' first.")
sys.exit(0)
print("Generating commit message...")
commit_message = generate_commit_message(diff)
if commit_message:
print("\nGenerated commit message:")
print("-" * 50)
print(commit_message)
print("-" * 50)
user_input = input("\nDo you want to use this commit message? (y/n): ")
if user_input.lower() == 'y':
try:
subprocess.run(
["git", "commit", "-m", commit_message],
check=True
)
print("Commit successful!")
except subprocess.CalledProcessError as e:
print(f"Error making commit: {e}")
else:
print("Failed to generate commit message.")
if __name__ == "__main__":
main()

46
g4f/Provider/ARTA.py
View File

@@ -27,7 +27,8 @@ class ARTA(AsyncGeneratorProvider, ProviderModelMixin):
default_model = "Flux" default_model = "Flux"
default_image_model = default_model default_image_model = default_model
model_aliases = { model_aliases = {
"flux": "Flux", default_image_model: default_image_model,
"flux": default_image_model,
"medieval": "Medieval", "medieval": "Medieval",
"vincent_van_gogh": "Vincent Van Gogh", "vincent_van_gogh": "Vincent Van Gogh",
"f_dev": "F Dev", "f_dev": "F Dev",
@@ -91,7 +92,17 @@ class ARTA(AsyncGeneratorProvider, ProviderModelMixin):
# Step 1: Generate Authentication Token # Step 1: Generate Authentication Token
auth_payload = {"clientType": "CLIENT_TYPE_ANDROID"} auth_payload = {"clientType": "CLIENT_TYPE_ANDROID"}
async with session.post(cls.auth_url, json=auth_payload, proxy=proxy) as auth_response: async with session.post(cls.auth_url, json=auth_payload, proxy=proxy) as auth_response:
if auth_response.status >= 400:
error_text = await auth_response.text()
raise ResponseError(f"Failed to obtain authentication token. Status: {auth_response.status}, Response: {error_text}")
try:
auth_data = await auth_response.json() auth_data = await auth_response.json()
except Exception as e:
error_text = await auth_response.text()
content_type = auth_response.headers.get('Content-Type', 'unknown')
raise ResponseError(f"Failed to parse auth response as JSON. Content-Type: {content_type}, Error: {str(e)}, Response: {error_text}")
auth_token = auth_data.get("idToken") auth_token = auth_data.get("idToken")
#refresh_token = auth_data.get("refreshToken") #refresh_token = auth_data.get("refreshToken")
if not auth_token: if not auth_token:
@@ -107,7 +118,17 @@ class ARTA(AsyncGeneratorProvider, ProviderModelMixin):
"refresh_token": refresh_token, "refresh_token": refresh_token,
} }
async with session.post(cls.token_refresh_url, data=payload, proxy=proxy) as response: async with session.post(cls.token_refresh_url, data=payload, proxy=proxy) as response:
if response.status >= 400:
error_text = await response.text()
raise ResponseError(f"Failed to refresh token. Status: {response.status}, Response: {error_text}")
try:
response_data = await response.json() response_data = await response.json()
except Exception as e:
error_text = await response.text()
content_type = response.headers.get('Content-Type', 'unknown')
raise ResponseError(f"Failed to parse token refresh response as JSON. Content-Type: {content_type}, Error: {str(e)}, Response: {error_text}")
return response_data.get("id_token"), response_data.get("refresh_token") return response_data.get("id_token"), response_data.get("refresh_token")
@classmethod @classmethod
@@ -167,9 +188,18 @@ class ARTA(AsyncGeneratorProvider, ProviderModelMixin):
} }
async with session.post(cls.image_generation_url, data=image_payload, headers=headers, proxy=proxy) as image_response: async with session.post(cls.image_generation_url, data=image_payload, headers=headers, proxy=proxy) as image_response:
image_data = await image_response.json() if image_response.status >= 400:
record_id = image_data.get("record_id") error_text = await image_response.text()
raise ResponseError(f"Failed to initiate image generation. Status: {image_response.status}, Response: {error_text}")
try:
image_data = await image_response.json()
except Exception as e:
error_text = await image_response.text()
content_type = image_response.headers.get('Content-Type', 'unknown')
raise ResponseError(f"Failed to parse response as JSON. Content-Type: {content_type}, Error: {str(e)}, Response: {error_text}")
record_id = image_data.get("record_id")
if not record_id: if not record_id:
raise ResponseError(f"Failed to initiate image generation: {image_data}") raise ResponseError(f"Failed to initiate image generation: {image_data}")
@@ -180,7 +210,17 @@ class ARTA(AsyncGeneratorProvider, ProviderModelMixin):
last_status = None last_status = None
while True: while True:
async with session.get(status_url, headers=headers, proxy=proxy) as status_response: async with session.get(status_url, headers=headers, proxy=proxy) as status_response:
if status_response.status >= 400:
error_text = await status_response.text()
raise ResponseError(f"Failed to check image generation status. Status: {status_response.status}, Response: {error_text}")
try:
status_data = await status_response.json() status_data = await status_response.json()
except Exception as e:
error_text = await status_response.text()
content_type = status_response.headers.get('Content-Type', 'unknown')
raise ResponseError(f"Failed to parse status response as JSON. Content-Type: {content_type}, Error: {str(e)}, Response: {error_text}")
status = status_data.get("status") status = status_data.get("status")
if status == "DONE": if status == "DONE":

83
g4f/Provider/AllenAI.py
View File

@@ -2,21 +2,23 @@ from __future__ import annotations
import json import json
from uuid import uuid4 from uuid import uuid4
from aiohttp import ClientSession from aiohttp import ClientSession
from ..typing import AsyncResult, Messages from ..typing import AsyncResult, Messages, MediaListType
from ..image import to_bytes, is_accepted_format, to_data_uri
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
from ..requests.raise_for_status import raise_for_status from ..requests.raise_for_status import raise_for_status
from ..providers.response import FinishReason, JsonConversation from ..providers.response import FinishReason, JsonConversation
from .helper import format_prompt, get_last_user_message from .helper import format_prompt, get_last_user_message, format_image_prompt
from ..tools.media import merge_media
class Conversation(JsonConversation): class Conversation(JsonConversation):
parent: str = None
x_anonymous_user_id: str = None x_anonymous_user_id: str = None
def __init__(self, model: str): def __init__(self, model: str):
super().__init__() # Ensure parent class is initialized super().__init__() # Ensure parent class is initialized
self.model = model self.model = model
self.messages = [] # Instance-specific list self.messages = [] # Instance-specific list
self.parent = None # Initialize parent as instance attribute
if not self.x_anonymous_user_id: if not self.x_anonymous_user_id:
self.x_anonymous_user_id = str(uuid4()) self.x_anonymous_user_id = str(uuid4())
@@ -35,42 +37,73 @@ class AllenAI(AsyncGeneratorProvider, ProviderModelMixin):
supports_message_history = True supports_message_history = True
default_model = 'tulu3-405b' default_model = 'tulu3-405b'
models = [ default_vision_model = 'mm-olmo-uber-model-v4-synthetic'
default_model, vision_models = [default_vision_model]
'OLMo-2-1124-13B-Instruct', # Map models to their required hosts
'tulu-3-1-8b', model_hosts = {
'Llama-3-1-Tulu-3-70B', default_model: "inferd",
'olmoe-0125' "OLMo-2-1124-13B-Instruct": "modal",
] "tulu-3-1-8b": "modal",
"Llama-3-1-Tulu-3-70B": "modal",
"olmoe-0125": "modal",
"olmo-2-0325-32b-instruct": "modal",
"mm-olmo-uber-model-v4-synthetic": "modal",
}
models = list(model_hosts.keys())
model_aliases = { model_aliases = {
"tulu-3-405b": default_model, "tulu-3-405b": default_model,
"olmo-1-7b": "olmoe-0125",
"olmo-2-13b": "OLMo-2-1124-13B-Instruct", "olmo-2-13b": "OLMo-2-1124-13B-Instruct",
"olmo-2-32b": "olmo-2-0325-32b-instruct",
"tulu-3-1-8b": "tulu-3-1-8b", "tulu-3-1-8b": "tulu-3-1-8b",
"tulu-3-70b": "Llama-3-1-Tulu-3-70B", "tulu-3-70b": "Llama-3-1-Tulu-3-70B",
"llama-3.1-405b": "tulu3-405b", "llama-3.1-405b": "tulu3-405b",
"llama-3.1-8b": "tulu-3-1-8b", "llama-3.1-8b": "tulu-3-1-8b",
"llama-3.1-70b": "Llama-3-1-Tulu-3-70B", "llama-3.1-70b": "Llama-3-1-Tulu-3-70B",
"olmo-4-synthetic": "mm-olmo-uber-model-v4-synthetic",
} }
@classmethod @classmethod
async def create_async_generator( async def create_async_generator(
cls, cls,
model: str, model: str,
messages: Messages, messages: Messages,
proxy: str = None, proxy: str = None,
host: str = "inferd", host: str = None,
private: bool = True, private: bool = True,
top_p: float = None, top_p: float = None,
temperature: float = None, temperature: float = None,
conversation: Conversation = None, conversation: Conversation = None,
return_conversation: bool = False, return_conversation: bool = False,
media: MediaListType = None,
**kwargs **kwargs
) -> AsyncResult: ) -> AsyncResult:
actual_model = cls.get_model(model)
# Use format_image_prompt for vision models when media is provided
if media is not None and len(media) > 0:
# For vision models, use format_image_prompt
if actual_model in cls.vision_models:
prompt = format_image_prompt(messages)
else:
# For non-vision models with images, still use the last user message
prompt = get_last_user_message(messages)
else:
# For text-only messages, use the standard format
prompt = format_prompt(messages) if conversation is None else get_last_user_message(messages) prompt = format_prompt(messages) if conversation is None else get_last_user_message(messages)
# Determine the correct host for the model
if host is None:
# Use model-specific host from model_hosts dictionary
host = cls.model_hosts[actual_model]
# Initialize or update conversation # Initialize or update conversation
if conversation is None: # For mm-olmo-uber-model-v4-synthetic, always create a new conversation
conversation = Conversation(model) if conversation is None or actual_model == 'mm-olmo-uber-model-v4-synthetic':
conversation = Conversation(actual_model)
# Generate new boundary for each request # Generate new boundary for each request
boundary = f"----WebKitFormBoundary{uuid4().hex}" boundary = f"----WebKitFormBoundary{uuid4().hex}"
@@ -101,7 +134,7 @@ class AllenAI(AsyncGeneratorProvider, ProviderModelMixin):
] ]
# Add parent if exists in conversation # Add parent if exists in conversation
if conversation.parent: if hasattr(conversation, 'parent') and conversation.parent:
form_data.append( form_data.append(
f'--{boundary}\r\n' f'--{boundary}\r\n'
f'Content-Disposition: form-data; name="parent"\r\n\r\n{conversation.parent}\r\n' f'Content-Disposition: form-data; name="parent"\r\n\r\n{conversation.parent}\r\n'
@@ -120,8 +153,25 @@ class AllenAI(AsyncGeneratorProvider, ProviderModelMixin):
f'Content-Disposition: form-data; name="top_p"\r\n\r\n{top_p}\r\n' f'Content-Disposition: form-data; name="top_p"\r\n\r\n{top_p}\r\n'
) )
# Always create a new conversation when an image is attached to avoid 403 errors
if media is not None and len(media) > 0:
conversation = Conversation(actual_model)
# Add image if provided
if media is not None and len(media) > 0:
# For each image in the media list (using merge_media to handle different formats)
for image, image_name in merge_media(media, messages):
image_bytes = to_bytes(image)
form_data.extend([
f'--{boundary}\r\n'
f'Content-Disposition: form-data; name="files"; filename="{image_name}"\r\n'
f'Content-Type: {is_accepted_format(image_bytes)}\r\n\r\n'
])
form_data.append(image_bytes.decode('latin1'))
form_data.append('\r\n')
form_data.append(f'--{boundary}--\r\n') form_data.append(f'--{boundary}--\r\n')
data = "".join(form_data).encode() data = "".join(form_data).encode('latin1')
async with ClientSession(headers=headers) as session: async with ClientSession(headers=headers) as session:
async with session.post( async with session.post(
@@ -164,6 +214,9 @@ class AllenAI(AsyncGeneratorProvider, ProviderModelMixin):
# Processing the final response # Processing the final response
if data.get("final") or data.get("finish_reason") == "stop": if data.get("final") or data.get("finish_reason") == "stop":
if current_parent: if current_parent:
# Ensure the parent attribute exists before setting it
if not hasattr(conversation, 'parent'):
setattr(conversation, 'parent', None)
conversation.parent = current_parent conversation.parent = current_parent
# Add a message to the story # Add a message to the story

537
g4f/Provider/Blackbox.py
View File

@@ -43,18 +43,79 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
default_vision_model = default_model default_vision_model = default_model
default_image_model = 'flux' default_image_model = 'flux'
# Completely free models # Free models (available without subscription)
fallback_models = [ fallback_models = [
"blackboxai", default_model,
"gpt-4o-mini",
"DeepSeek-V3",
"DeepSeek-R1",
"Meta-Llama-3.3-70B-Instruct-Turbo",
"Mistral-Small-24B-Instruct-2501",
"DeepSeek-LLM-Chat-(67B)",
"Qwen-QwQ-32B-Preview",
# Image models
"flux",
# Trending agent modes
'Python Agent',
'HTML Agent',
'Builder Agent',
'Java Agent',
'JavaScript Agent',
'React Agent',
'Android Agent',
'Flutter Agent',
'Next.js Agent',
'AngularJS Agent',
'Swift Agent',
'MongoDB Agent',
'PyTorch Agent',
'Xcode Agent',
'Azure Agent',
'Bitbucket Agent',
'DigitalOcean Agent',
'Docker Agent',
'Electron Agent',
'Erlang Agent',
'FastAPI Agent',
'Firebase Agent',
'Flask Agent',
'Git Agent',
'Gitlab Agent',
'Go Agent',
'Godot Agent',
'Google Cloud Agent',
'Heroku Agent'
]
# Premium models (require subscription)
premium_models = [
"GPT-4o",
"o1",
"o3-mini",
"Claude-sonnet-3.7",
"Claude-sonnet-3.5",
"Gemini-Flash-2.0",
"DBRX-Instruct",
"blackboxai-pro",
"Gemini-PRO"
]
# Models available in the demo account
demo_models = [
default_model,
"blackboxai-pro", "blackboxai-pro",
"gpt-4o-mini", "gpt-4o-mini",
"GPT-4o", "GPT-4o",
"o1", "o1",
"o3-mini", "o3-mini",
"Claude-sonnet-3.7", "Claude-sonnet-3.7",
"Claude-sonnet-3.5",
"DeepSeek-V3", "DeepSeek-V3",
"DeepSeek-R1", "DeepSeek-R1",
"DeepSeek-LLM-Chat-(67B)", "DeepSeek-LLM-Chat-(67B)",
"Meta-Llama-3.3-70B-Instruct-Turbo",
"Mistral-Small-24B-Instruct-2501",
"Qwen-QwQ-32B-Preview",
# Image models # Image models
"flux", "flux",
# Trending agent modes # Trending agent modes
@@ -92,13 +153,14 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
image_models = [default_image_model] image_models = [default_image_model]
vision_models = [default_vision_model, 'GPT-4o', 'o1', 'o3-mini', 'Gemini-PRO', 'Gemini Agent', 'llama-3.1-8b Agent', 'llama-3.1-70b Agent', 'llama-3.1-405 Agent', 'Gemini-Flash-2.0', 'DeepSeek-V3'] vision_models = [default_vision_model, 'GPT-4o', 'o1', 'o3-mini', 'Gemini-PRO', 'Gemini Agent', 'llama-3.1-8b Agent', 'llama-3.1-70b Agent', 'llama-3.1-405 Agent', 'Gemini-Flash-2.0', 'DeepSeek-V3']
userSelectedModel = ['GPT-4o', 'o1', 'o3-mini', 'Gemini-PRO', 'Claude-sonnet-3.7', 'DeepSeek-V3', 'DeepSeek-R1', 'Meta-Llama-3.3-70B-Instruct-Turbo', 'Mistral-Small-24B-Instruct-2501', 'DeepSeek-LLM-Chat-(67B)', 'DBRX-Instruct', 'Qwen-QwQ-32B-Preview', 'Nous-Hermes-2-Mixtral-8x7B-DPO', 'Gemini-Flash-2.0'] userSelectedModel = ['GPT-4o', 'o1', 'o3-mini', 'Gemini-PRO', 'Claude-sonnet-3.7', 'Claude-sonnet-3.5', 'DeepSeek-V3', 'DeepSeek-R1', 'Meta-Llama-3.3-70B-Instruct-Turbo', 'Mistral-Small-24B-Instruct-2501', 'DeepSeek-LLM-Chat-(67B)', 'DBRX-Instruct', 'Qwen-QwQ-32B-Preview', 'Nous-Hermes-2-Mixtral-8x7B-DPO', 'Gemini-Flash-2.0']
# Agent mode configurations # Agent mode configurations
agentMode = { agentMode = {
'GPT-4o': {'mode': True, 'id': "GPT-4o", 'name': "GPT-4o"}, 'GPT-4o': {'mode': True, 'id': "GPT-4o", 'name': "GPT-4o"},
'Gemini-PRO': {'mode': True, 'id': "Gemini-PRO", 'name': "Gemini-PRO"}, 'Gemini-PRO': {'mode': True, 'id': "Gemini-PRO", 'name': "Gemini-PRO"},
'Claude-sonnet-3.7': {'mode': True, 'id': "Claude-sonnet-3.7", 'name': "Claude-sonnet-3.7"}, 'Claude-sonnet-3.7': {'mode': True, 'id': "Claude-sonnet-3.7", 'name': "Claude-sonnet-3.7"},
'Claude-sonnet-3.5': {'mode': True, 'id': "Claude-sonnet-3.5", 'name': "Claude-sonnet-3.5"},
'DeepSeek-V3': {'mode': True, 'id': "deepseek-chat", 'name': "DeepSeek-V3"}, 'DeepSeek-V3': {'mode': True, 'id': "deepseek-chat", 'name': "DeepSeek-V3"},
'DeepSeek-R1': {'mode': True, 'id': "deepseek-reasoner", 'name': "DeepSeek-R1"}, 'DeepSeek-R1': {'mode': True, 'id': "deepseek-reasoner", 'name': "DeepSeek-R1"},
'Meta-Llama-3.3-70B-Instruct-Turbo': {'mode': True, 'id': "meta-llama/Llama-3.3-70B-Instruct-Turbo", 'name': "Meta-Llama-3.3-70B-Instruct-Turbo"}, 'Meta-Llama-3.3-70B-Instruct-Turbo': {'mode': True, 'id': "meta-llama/Llama-3.3-70B-Instruct-Turbo", 'name': "Meta-Llama-3.3-70B-Instruct-Turbo"},
@@ -150,13 +212,174 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
# Complete list of all models (for authorized users) # Complete list of all models (for authorized users)
_all_models = list(dict.fromkeys([ _all_models = list(dict.fromkeys([
default_model, *fallback_models, # Include all free models
*userSelectedModel, *premium_models, # Include all premium models
*image_models, *image_models,
*list(agentMode.keys()), *list(agentMode.keys()),
*list(trendingAgentMode.keys()) *list(trendingAgentMode.keys())
])) ]))
# Initialize models with fallback_models
models = fallback_models
model_aliases = {
"gpt-4o": "GPT-4o",
"claude-3.7-sonnet": "Claude-sonnet-3.7",
"claude-3.5-sonnet": "Claude-sonnet-3.5",
"deepseek-v3": "DeepSeek-V3",
"deepseek-r1": "DeepSeek-R1",
"deepseek-chat": "DeepSeek-LLM-Chat-(67B)",
"llama-3.3-70b": "Meta-Llama-3.3-70B-Instruct-Turbo",
"mixtral-small-24b": "Mistral-Small-24B-Instruct-2501",
"qwq-32b": "Qwen-QwQ-32B-Preview",
}
@classmethod
async def get_models_async(cls) -> list:
"""
Asynchronous version of get_models that checks subscription status.
Returns a list of available models based on subscription status.
Premium users get the full list of models.
Free users get fallback_models.
Demo accounts get demo_models.
"""
# Check if there are valid session data in HAR files
session_data = cls._find_session_in_har_files()
if not session_data:
# For demo accounts - return demo models
debug.log(f"Blackbox: Returning demo model list with {len(cls.demo_models)} models")
return cls.demo_models
# Check if this is a demo session
demo_session = cls.generate_session()
is_demo = (session_data['user'].get('email') == demo_session['user'].get('email'))
if is_demo:
# For demo accounts - return demo models
debug.log(f"Blackbox: Returning demo model list with {len(cls.demo_models)} models")
return cls.demo_models
# For non-demo accounts, check subscription status
if 'user' in session_data and 'email' in session_data['user']:
subscription = await cls.check_subscription(session_data['user']['email'])
if subscription['status'] == "PREMIUM":
debug.log(f"Blackbox: Returning premium model list with {len(cls._all_models)} models")
return cls._all_models
# For free accounts - return free models
debug.log(f"Blackbox: Returning free model list with {len(cls.fallback_models)} models")
return cls.fallback_models
@classmethod
def get_models(cls) -> list:
"""
Returns a list of available models based on authorization status.
Authorized users get the full list of models.
Free users get fallback_models.
Demo accounts get demo_models.
Note: This is a synchronous method that can't check subscription status,
so it falls back to the basic premium access check.
For more accurate results, use get_models_async when possible.
"""
# Check if there are valid session data in HAR files
session_data = cls._find_session_in_har_files()
if not session_data:
# For demo accounts - return demo models
debug.log(f"Blackbox: Returning demo model list with {len(cls.demo_models)} models")
return cls.demo_models
# Check if this is a demo session
demo_session = cls.generate_session()
is_demo = (session_data['user'].get('email') == demo_session['user'].get('email'))
if is_demo:
# For demo accounts - return demo models
debug.log(f"Blackbox: Returning demo model list with {len(cls.demo_models)} models")
return cls.demo_models
# For non-demo accounts, check premium access
has_premium_access = cls._check_premium_access()
if has_premium_access:
# For premium users - all models
debug.log(f"Blackbox: Returning premium model list with {len(cls._all_models)} models")
return cls._all_models
# For free accounts - return free models
debug.log(f"Blackbox: Returning free model list with {len(cls.fallback_models)} models")
return cls.fallback_models
@classmethod
async def check_subscription(cls, email: str) -> dict:
"""
Check subscription status for a given email using the Blackbox API.
Args:
email: The email to check subscription for
Returns:
dict: Subscription status information with keys:
- status: "PREMIUM" or "FREE"
- customerId: Customer ID if available
- isTrialSubscription: Whether this is a trial subscription
"""
if not email:
return {"status": "FREE", "customerId": None, "isTrialSubscription": False}
headers = {
'accept': '*/*',
'accept-language': 'en',
'content-type': 'application/json',
'origin': 'https://www.blackbox.ai',
'referer': 'https://www.blackbox.ai/?ref=login-success',
'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/134.0.0.0 Safari/537.36'
}
try:
async with ClientSession(headers=headers) as session:
async with session.post(
'https://www.blackbox.ai/api/check-subscription',
json={"email": email}
) as response:
if response.status != 200:
debug.log(f"Blackbox: Subscription check failed with status {response.status}")
return {"status": "FREE", "customerId": None, "isTrialSubscription": False}
result = await response.json()
status = "PREMIUM" if result.get("hasActiveSubscription", False) else "FREE"
return {
"status": status,
"customerId": result.get("customerId"),
"isTrialSubscription": result.get("isTrialSubscription", False)
}
except Exception as e:
debug.log(f"Blackbox: Error checking subscription: {e}")
return {"status": "FREE", "customerId": None, "isTrialSubscription": False}
@classmethod
def _check_premium_access(cls) -> bool:
"""
Checks for an authorized session in HAR files.
Returns True if a valid session is found that differs from the demo.
"""
try:
session_data = cls._find_session_in_har_files()
if not session_data:
return False
# Check if this is not a demo session
demo_session = cls.generate_session()
if (session_data['user'].get('email') != demo_session['user'].get('email')):
return True
return False
except Exception as e:
debug.log(f"Blackbox: Error checking premium access: {e}")
return False
@classmethod @classmethod
def generate_session(cls, id_length: int = 21, days_ahead: int = 365) -> dict: def generate_session(cls, id_length: int = 21, days_ahead: int = 365) -> dict:
""" """
@@ -196,94 +419,17 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
} }
@classmethod @classmethod
async def fetch_validated(cls, url: str = "https://www.blackbox.ai", force_refresh: bool = False) -> Optional[str]: def _find_session_in_har_files(cls) -> Optional[dict]:
cache_file = Path(get_cookies_dir()) / 'blackbox.json'
if not force_refresh and cache_file.exists():
try:
with open(cache_file, 'r') as f:
data = json.load(f)
if data.get('validated_value'):
return data['validated_value']
except Exception as e:
debug.log(f"Blackbox: Error reading cache: {e}")
js_file_pattern = r'static/chunks/\d{4}-[a-fA-F0-9]+\.js'
uuid_pattern = r'["\']([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12})["\']'
def is_valid_context(text: str) -> bool:
return any(char + '=' in text for char in 'abcdefghijklmnopqrstuvwxyz')
async with ClientSession() as session:
try:
async with session.get(url) as response:
if response.status != 200:
return None
page_content = await response.text()
js_files = re.findall(js_file_pattern, page_content)
for js_file in js_files:
js_url = f"{url}/_next/{js_file}"
async with session.get(js_url) as js_response:
if js_response.status == 200:
js_content = await js_response.text()
for match in re.finditer(uuid_pattern, js_content):
start = max(0, match.start() - 10)
end = min(len(js_content), match.end() + 10)
context = js_content[start:end]
if is_valid_context(context):
validated_value = match.group(1)
cache_file.parent.mkdir(exist_ok=True)
try:
with open(cache_file, 'w') as f:
json.dump({'validated_value': validated_value}, f)
except Exception as e:
debug.log(f"Blackbox: Error writing cache: {e}")
return validated_value
except Exception as e:
debug.log(f"Blackbox: Error retrieving validated_value: {e}")
return None
@classmethod
def generate_id(cls, length: int = 7) -> str:
chars = string.ascii_letters + string.digits
return ''.join(random.choice(chars) for _ in range(length))
@classmethod
def get_models(cls) -> list:
""" """
Returns a list of available models based on authorization status. Search for valid session data in HAR files.
Authorized users get the full list of models.
Unauthorized users only get fallback_models.
"""
# Check if there are valid session data in HAR files
has_premium_access = cls._check_premium_access()
if has_premium_access: Returns:
# For authorized users - all models Optional[dict]: Session data if found, None otherwise
debug.log(f"Blackbox: Returning full model list with {len(cls._all_models)} models")
return cls._all_models
else:
# For demo accounts - only free models
debug.log(f"Blackbox: Returning free model list with {len(cls.fallback_models)} models")
return cls.fallback_models
@classmethod
def _check_premium_access(cls) -> bool:
"""
Checks for an authorized session in HAR files.
Returns True if a valid session is found that differs from the demo.
""" """
try: try:
har_dir = get_cookies_dir() har_dir = get_cookies_dir()
if not os.access(har_dir, os.R_OK): if not os.access(har_dir, os.R_OK):
return False return None
for root, _, files in os.walk(har_dir): for root, _, files in os.walk(har_dir):
for file in files: for file in files:
@@ -293,91 +439,45 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
har_data = json.load(f) har_data = json.load(f)
for entry in har_data['log']['entries']: for entry in har_data['log']['entries']:
# Only check requests to blackbox API # Only look at blackbox API responses
if 'blackbox.ai/api' in entry['request']['url']: if 'blackbox.ai/api' in entry['request']['url']:
# Look for a response that has the right structure
if 'response' in entry and 'content' in entry['response']: if 'response' in entry and 'content' in entry['response']:
content = entry['response']['content'] content = entry['response']['content']
# Look for both regular and Google auth session formats
if ('text' in content and if ('text' in content and
isinstance(content['text'], str) and isinstance(content['text'], str) and
'"user"' in content['text'] and '"user"' in content['text'] and
'"email"' in content['text']): '"email"' in content['text'] and
'"expires"' in content['text']):
try: try:
# Process request text # Remove any HTML or other non-JSON content
text = content['text'].strip() text = content['text'].strip()
if text.startswith('{') and text.endswith('}'): if text.startswith('{') and text.endswith('}'):
# Replace escaped quotes
text = text.replace('\\"', '"') text = text.replace('\\"', '"')
session_data = json.loads(text) har_session = json.loads(text)
# Check if this is a valid session # Check if this is a valid session object
if (isinstance(session_data, dict) and if (isinstance(har_session, dict) and
'user' in session_data and 'user' in har_session and
'email' in session_data['user']): 'email' in har_session['user'] and
'expires' in har_session):
# Check if this is not a demo session debug.log(f"Blackbox: Found session in HAR file: {file}")
demo_session = cls.generate_session() return har_session
if (session_data['user'].get('email') != except json.JSONDecodeError as e:
demo_session['user'].get('email')): # Only print error for entries that truly look like session data
# This is not a demo session, so user has premium access if ('"user"' in content['text'] and
return True '"email"' in content['text']):
except: debug.log(f"Blackbox: Error parsing likely session data: {e}")
pass
except:
pass
return False
except Exception as e: except Exception as e:
debug.log(f"Blackbox: Error checking premium access: {e}") debug.log(f"Blackbox: Error reading HAR file {file}: {e}")
return False return None
except Exception as e:
# Initialize models with fallback_models debug.log(f"Blackbox: Error searching HAR files: {e}")
models = fallback_models return None
model_aliases = {
"gpt-4o": "GPT-4o",
"claude-3.7-sonnet": "Claude-sonnet-3.7",
"deepseek-v3": "DeepSeek-V3",
"deepseek-r1": "DeepSeek-R1",
"deepseek-chat": "DeepSeek-LLM-Chat-(67B)",
}
@classmethod
def generate_session(cls, id_length: int = 21, days_ahead: int = 365) -> dict:
"""
Generate a dynamic session with proper ID and expiry format.
Args:
id_length: Length of the numeric ID (default: 21)
days_ahead: Number of days ahead for expiry (default: 365)
Returns:
dict: A session dictionary with user information and expiry
"""
# Generate numeric ID
numeric_id = ''.join(random.choice('0123456789') for _ in range(id_length))
# Generate future expiry date
future_date = datetime.now() + timedelta(days=days_ahead)
expiry = future_date.strftime('%Y-%m-%dT%H:%M:%S.%f')[:-3] + 'Z'
# Decode the encoded email
encoded_email = "Z2lzZWxlQGJsYWNrYm94LmFp" # Base64 encoded email
email = base64.b64decode(encoded_email).decode('utf-8')
# Generate random image ID for the new URL format
chars = string.ascii_letters + string.digits + "-"
random_img_id = ''.join(random.choice(chars) for _ in range(48))
image_url = f"https://lh3.googleusercontent.com/a/ACg8oc{random_img_id}=s96-c"
return {
"user": {
"name": "BLACKBOX AI",
"email": email,
"image": image_url,
"id": numeric_id
},
"expires": expiry
}
@classmethod @classmethod
async def fetch_validated(cls, url: str = "https://www.blackbox.ai", force_refresh: bool = False) -> Optional[str]: async def fetch_validated(cls, url: str = "https://www.blackbox.ai", force_refresh: bool = False) -> Optional[str]:
@@ -494,70 +594,41 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
"title": "" "title": ""
} }
# Try to get session data from HAR files # Get session data - try HAR files first, fall back to generated session
session_data = cls.generate_session() # Default fallback session_data = cls._find_session_in_har_files() or cls.generate_session()
session_found = False
# Look for HAR session data # Log which session type is being used
har_dir = get_cookies_dir() demo_session = cls.generate_session()
if os.access(har_dir, os.R_OK): is_demo = (session_data['user'].get('email') == demo_session['user'].get('email'))
for root, _, files in os.walk(har_dir):
for file in files:
if file.endswith(".har"):
try:
with open(os.path.join(root, file), 'rb') as f:
har_data = json.load(f)
for entry in har_data['log']['entries']: if is_demo:
# Only look at blackbox API responses debug.log("Blackbox: Using generated demo session")
if 'blackbox.ai/api' in entry['request']['url']: # For demo account, set default values without checking subscription
# Look for a response that has the right structure subscription_status = {"status": "FREE", "customerId": None, "isTrialSubscription": False}
if 'response' in entry and 'content' in entry['response']: # Check if the requested model is in demo_models
content = entry['response']['content'] is_premium = model in cls.demo_models
# Look for both regular and Google auth session formats if not is_premium:
if ('text' in content and debug.log(f"Blackbox: Model {model} not available in demo account, falling back to default model")
isinstance(content['text'], str) and model = cls.default_model
'"user"' in content['text'] and is_premium = True
'"email"' in content['text'] and else:
'"expires"' in content['text']): debug.log(f"Blackbox: Using session from HAR file (email: {session_data['user'].get('email', 'unknown')})")
# Only check subscription for non-demo accounts
subscription_status = {"status": "FREE", "customerId": None, "isTrialSubscription": False}
if session_data.get('user', {}).get('email'):
subscription_status = await cls.check_subscription(session_data['user']['email'])
debug.log(f"Blackbox: Subscription status for {session_data['user']['email']}: {subscription_status['status']}")
try: # Determine if user has premium access based on subscription status
# Remove any HTML or other non-JSON content if subscription_status['status'] == "PREMIUM":
text = content['text'].strip() is_premium = True
if text.startswith('{') and text.endswith('}'): else:
# Replace escaped quotes # For free accounts, check if the requested model is in fallback_models
text = text.replace('\\"', '"') is_premium = model in cls.fallback_models
har_session = json.loads(text) if not is_premium:
debug.log(f"Blackbox: Model {model} not available in free account, falling back to default model")
# Check if this is a valid session object (supports both regular and Google auth) model = cls.default_model
if (isinstance(har_session, dict) and is_premium = True
'user' in har_session and
'email' in har_session['user'] and
'expires' in har_session):
file_path = os.path.join(root, file)
debug.log(f"Blackbox: Found session in HAR file")
session_data = har_session
session_found = True
break
except json.JSONDecodeError as e:
# Only print error for entries that truly look like session data
if ('"user"' in content['text'] and
'"email"' in content['text']):
debug.log(f"Blackbox: Error parsing likely session data: {e}")
if session_found:
break
except Exception as e:
debug.log(f"Blackbox: Error reading HAR file: {e}")
if session_found:
break
if session_found:
break
data = { data = {
"messages": current_messages, "messages": current_messages,
@@ -595,29 +666,19 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
"additionalInfo": "", "additionalInfo": "",
"enableNewChats": False "enableNewChats": False
}, },
"session": session_data if session_data else cls.generate_session(), "session": session_data,
"isPremium": True, "isPremium": is_premium,
"subscriptionCache": None, "subscriptionCache": {
"status": subscription_status['status'],
"customerId": subscription_status['customerId'],
"isTrialSubscription": subscription_status['isTrialSubscription'],
"lastChecked": int(datetime.now().timestamp() * 1000)
},
"beastMode": False, "beastMode": False,
"reasoningMode": False,
"webSearchMode": False "webSearchMode": False
} }
# Add debugging before making the API call
if isinstance(session_data, dict) and 'user' in session_data:
# Генеруємо демо-сесію для порівняння
demo_session = cls.generate_session()
is_demo = False
if demo_session and isinstance(demo_session, dict) and 'user' in demo_session:
if session_data['user'].get('email') == demo_session['user'].get('email'):
is_demo = True
if is_demo:
debug.log(f"Blackbox: Making API request with built-in Developer Premium Account")
else:
user_email = session_data['user'].get('email', 'unknown')
debug.log(f"Blackbox: Making API request with HAR session email: {user_email}")
# Continue with the API request and async generator behavior # Continue with the API request and async generator behavior
async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response: async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
await raise_for_status(response) await raise_for_status(response)

229
g4f/Provider/DDG.py
View File

@@ -26,6 +26,9 @@ except ImportError:
class DuckDuckGoSearchException(Exception): class DuckDuckGoSearchException(Exception):
"""Base exception class for duckduckgo_search.""" """Base exception class for duckduckgo_search."""
class DuckDuckGoChallengeError(ResponseStatusError):
"""Raised when DuckDuckGo presents a challenge that needs to be solved."""
class Conversation(JsonConversation): class Conversation(JsonConversation):
vqd: str = None vqd: str = None
vqd_hash_1: str = None vqd_hash_1: str = None
@@ -48,15 +51,20 @@ class DDG(AsyncGeneratorProvider, ProviderModelMixin):
supports_message_history = True supports_message_history = True
default_model = "gpt-4o-mini" default_model = "gpt-4o-mini"
models = [default_model, "meta-llama/Llama-3.3-70B-Instruct-Turbo", "claude-3-haiku-20240307", "o3-mini", "mistralai/Mistral-Small-24B-Instruct-2501"]
model_aliases = { # Model mapping from user-friendly names to API model names
"gpt-4": "gpt-4o-mini", _chat_models = {
"gpt-4": default_model,
"gpt-4o-mini": default_model,
"llama-3.3-70b": "meta-llama/Llama-3.3-70B-Instruct-Turbo", "llama-3.3-70b": "meta-llama/Llama-3.3-70B-Instruct-Turbo",
"claude-3-haiku": "claude-3-haiku-20240307", "claude-3-haiku": "claude-3-haiku-20240307",
"o3-mini": "o3-mini",
"mixtral-small-24b": "mistralai/Mistral-Small-24B-Instruct-2501", "mixtral-small-24b": "mistralai/Mistral-Small-24B-Instruct-2501",
} }
# Available models (user-friendly names)
models = list(_chat_models.keys())
last_request_time = 0 last_request_time = 0
max_retries = 3 max_retries = 3
base_delay = 2 base_delay = 2
@@ -100,19 +108,52 @@ class DDG(AsyncGeneratorProvider, ProviderModelMixin):
def build_x_vqd_hash_1(cls, vqd_hash_1: str, headers: dict) -> str: def build_x_vqd_hash_1(cls, vqd_hash_1: str, headers: dict) -> str:
"""Build the x-vqd-hash-1 header value.""" """Build the x-vqd-hash-1 header value."""
try: try:
# If we received a valid base64 string, try to decode it
if vqd_hash_1 and len(vqd_hash_1) > 20:
try:
# Try to decode and parse as JSON first
decoded_json = json.loads(base64.b64decode(vqd_hash_1).decode())
# If it's already a complete structure with meta, return it as is
if isinstance(decoded_json, dict) and "meta" in decoded_json:
return vqd_hash_1
# Otherwise, extract what we can from it
if isinstance(decoded_json, dict) and "server_hashes" in decoded_json:
server_hashes = decoded_json.get("server_hashes", ["1", "2"])
else:
# Fall back to parsing from string
decoded = base64.b64decode(vqd_hash_1).decode() decoded = base64.b64decode(vqd_hash_1).decode()
server_hashes = cls.parse_server_hashes(decoded) server_hashes = cls.parse_server_hashes(decoded)
dom_fingerprint = cls.parse_dom_fingerprint(decoded) except (json.JSONDecodeError, UnicodeDecodeError):
# If it's not valid JSON, try to parse it as a string
decoded = base64.b64decode(vqd_hash_1).decode()
server_hashes = cls.parse_server_hashes(decoded)
else:
# Default server hashes if we can't extract them
server_hashes = ["1", "2"]
# Generate fingerprints
dom_fingerprint = "1000" # Default value
ua_fingerprint = headers.get("User-Agent", "") + headers.get("sec-ch-ua", "") ua_fingerprint = headers.get("User-Agent", "") + headers.get("sec-ch-ua", "")
ua_hash = cls.sha256_base64(ua_fingerprint) ua_hash = cls.sha256_base64(ua_fingerprint)
dom_hash = cls.sha256_base64(dom_fingerprint) dom_hash = cls.sha256_base64(dom_fingerprint)
# Create a challenge ID (random hex string)
challenge_id = ''.join(random.choice('0123456789abcdef') for _ in range(40)) + 'h8jbt'
# Build the complete structure including meta
final_result = { final_result = {
"server_hashes": server_hashes, "server_hashes": server_hashes,
"client_hashes": [ua_hash, dom_hash], "client_hashes": [ua_hash, dom_hash],
"signals": {}, "signals": {},
"meta": {
"v": "1",
"challenge_id": challenge_id,
"origin": "https://duckduckgo.com",
"stack": "Error\nat ke (https://duckduckgo.com/dist/wpm.chat.js:1:29526)\nat async dispatchServiceInitialVQD (https://duckduckgo.com/dist/wpm.chat.js:1:45076)"
} }
}
base64_final_result = base64.b64encode(json.dumps(final_result).encode()).decode() base64_final_result = base64.b64encode(json.dumps(final_result).encode()).decode()
return base64_final_result return base64_final_result
except Exception as e: except Exception as e:
@@ -121,13 +162,18 @@ class DDG(AsyncGeneratorProvider, ProviderModelMixin):
@classmethod @classmethod
def validate_model(cls, model: str) -> str: def validate_model(cls, model: str) -> str:
"""Validates and returns the correct model name""" """Validates and returns the correct model name for the API"""
if not model: if not model:
return cls.default_model return cls.default_model
# Check aliases first
if model in cls.model_aliases: if model in cls.model_aliases:
model = cls.model_aliases[model] model = cls.model_aliases[model]
# Check if it's a valid model name
if model not in cls.models: if model not in cls.models:
raise ModelNotSupportedError(f"Model {model} not supported. Available models: {cls.models}") raise ModelNotSupportedError(f"Model {model} not supported. Available models: {cls.models}")
return model return model
@classmethod @classmethod
@@ -147,18 +193,45 @@ class DDG(AsyncGeneratorProvider, ProviderModelMixin):
await cls.sleep() await cls.sleep()
# Make initial request to get cookies # Make initial request to get cookies
async with session.get(cls.url) as response: async with session.get(cls.url) as response:
# We also manually set required cookies # Set the required cookies
cookies = {} cookies = {}
cookies_dict = {'dcs': '1', 'dcm': '3'} cookies_dict = {'dcs': '1', 'dcm': '3'}
# Add any cookies from the response
for cookie in response.cookies.values():
cookies[cookie.key] = cookie.value
# Ensure our required cookies are set
for name, value in cookies_dict.items(): for name, value in cookies_dict.items():
cookies[name] = value cookies[name] = value
url_obj = URL(cls.url) url_obj = URL(cls.url)
session.cookie_jar.update_cookies({name: value}, url_obj) session.cookie_jar.update_cookies({name: value}, url_obj)
# Make a second request to the status endpoint to get any additional cookies
headers = {
"accept": "text/event-stream",
"accept-language": "en",
"User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/134.0.0.0 Safari/537.36",
"origin": "https://duckduckgo.com",
"referer": "https://duckduckgo.com/",
}
await cls.sleep()
async with session.get(cls.status_url, headers=headers) as status_response:
# Add any cookies from the status response
for cookie in status_response.cookies.values():
cookies[cookie.key] = cookie.value
url_obj = URL(cls.url)
session.cookie_jar.update_cookies({cookie.key: cookie.value}, url_obj)
return cookies return cookies
except Exception as e: except Exception as e:
return {} # Return at least the required cookies on error
cookies = {'dcs': '1', 'dcm': '3'}
url_obj = URL(cls.url)
for name, value in cookies.items():
session.cookie_jar.update_cookies({name: value}, url_obj)
return cookies
@classmethod @classmethod
async def fetch_fe_version(cls, session: ClientSession) -> str: async def fetch_fe_version(cls, session: ClientSession) -> str:
@@ -175,26 +248,38 @@ class DDG(AsyncGeneratorProvider, ProviderModelMixin):
# Extract x-fe-version components # Extract x-fe-version components
try: try:
# Try to extract the version components
xfe1 = content.split('__DDG_BE_VERSION__="', 1)[1].split('"', 1)[0] xfe1 = content.split('__DDG_BE_VERSION__="', 1)[1].split('"', 1)[0]
xfe2 = content.split('__DDG_FE_CHAT_HASH__="', 1)[1].split('"', 1)[0] xfe2 = content.split('__DDG_FE_CHAT_HASH__="', 1)[1].split('"', 1)[0]
cls._chat_xfe = f"{xfe1}-{xfe2}"
# Format it like "serp_YYYYMMDD_HHMMSS_ET-hash"
from datetime import datetime
current_date = datetime.now().strftime("%Y%m%d_%H%M%S")
cls._chat_xfe = f"serp_{current_date}_ET-{xfe2}"
return cls._chat_xfe return cls._chat_xfe
except Exception: except Exception:
# If extraction fails, return an empty string # Fallback to a default format if extraction fails
return "" from datetime import datetime
current_date = datetime.now().strftime("%Y%m%d_%H%M%S")
cls._chat_xfe = f"serp_{current_date}_ET-78c2e87e3d286691cc21"
return cls._chat_xfe
except Exception: except Exception:
return "" # Fallback to a default format if request fails
from datetime import datetime
current_date = datetime.now().strftime("%Y%m%d_%H%M%S")
cls._chat_xfe = f"serp_{current_date}_ET-78c2e87e3d286691cc21"
return cls._chat_xfe
@classmethod @classmethod
async def fetch_vqd_and_hash(cls, session: ClientSession, retry_count: int = 0) -> tuple[str, str]: async def fetch_vqd_and_hash(cls, session: ClientSession, retry_count: int = 0) -> tuple[str, str]:
"""Fetches the required VQD token and hash for the chat session with retries.""" """Fetches the required VQD token and hash for the chat session with retries."""
headers = { headers = {
"accept": "text/event-stream", "accept": "text/event-stream",
"accept-language": "en-US,en;q=0.9", "accept-language": "en",
"cache-control": "no-cache", "cache-control": "no-cache",
"content-type": "application/json",
"pragma": "no-cache", "pragma": "no-cache",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36", "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/134.0.0.0 Safari/537.36",
"origin": "https://duckduckgo.com", "origin": "https://duckduckgo.com",
"referer": "https://duckduckgo.com/", "referer": "https://duckduckgo.com/",
"x-vqd-accept": "1", "x-vqd-accept": "1",
@@ -270,30 +355,44 @@ class DDG(AsyncGeneratorProvider, ProviderModelMixin):
last_message = get_last_user_message(messages.copy()) last_message = get_last_user_message(messages.copy())
conversation.message_history.append({"role": "user", "content": last_message}) conversation.message_history.append({"role": "user", "content": last_message})
# Step 4: Prepare headers - IMPORTANT: send empty x-vqd-hash-1 for the first request # Step 4: Prepare headers with proper x-vqd-hash-1
headers = { headers = {
"accept": "text/event-stream", "accept": "text/event-stream",
"accept-language": "en-US,en;q=0.9", "accept-language": "en",
"cache-control": "no-cache",
"content-type": "application/json", "content-type": "application/json",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36", "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/134.0.0.0 Safari/537.36",
"origin": "https://duckduckgo.com", "origin": "https://duckduckgo.com",
"referer": "https://duckduckgo.com/", "referer": "https://duckduckgo.com/",
"sec-ch-ua": '"Chromium";v="133", "Not_A Brand";v="8"', "pragma": "no-cache",
"priority": "u=1, i",
"sec-ch-ua": '"Not:A-Brand";v="24", "Chromium";v="134"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '"Linux"',
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-origin",
"x-fe-version": conversation.fe_version or cls._chat_xfe, "x-fe-version": conversation.fe_version or cls._chat_xfe,
"x-vqd-4": conversation.vqd, "x-vqd-4": conversation.vqd,
"x-vqd-hash-1": "", # Send empty string initially
} }
# For the first request, send an empty x-vqd-hash-1 header
# This matches the behavior in the duckduckgo_search module
headers["x-vqd-hash-1"] = ""
# Step 5: Prepare the request data # Step 5: Prepare the request data
# Convert the user-friendly model name to the API model name
api_model = cls._chat_models.get(model, model)
data = { data = {
"model": model, "model": api_model,
"messages": conversation.message_history, "messages": conversation.message_history,
} }
# Step 6: Send the request # Step 6: Send the request
await cls.sleep(multiplier=1.0 + retry_count * 0.5) await cls.sleep(multiplier=1.0 + retry_count * 0.5)
async with session.post(cls.api_endpoint, json=data, headers=headers, proxy=proxy) as response: async with session.post(cls.api_endpoint, json=data, headers=headers, proxy=proxy) as response:
# Handle 429 errors specifically # Handle 429 and 418 errors specifically
if response.status == 429: if response.status == 429:
response_text = await response.text() response_text = await response.text()
@@ -307,7 +406,69 @@ class DDG(AsyncGeneratorProvider, ProviderModelMixin):
continue continue
else: else:
raise RateLimitError(f"Rate limited after {cls.max_retries} retries") raise RateLimitError(f"Rate limited after {cls.max_retries} retries")
elif response.status == 418:
# Check if it's a challenge error
try:
response_text = await response.text()
try:
response_json = json.loads(response_text)
# Extract challenge data if available
challenge_data = None
if response_json.get("type") == "ERR_CHALLENGE" and "cd" in response_json:
challenge_data = response_json["cd"]
if retry_count < cls.max_retries:
retry_count += 1
wait_time = cls.base_delay * (2 ** retry_count) * (1 + random.random())
await asyncio.sleep(wait_time)
# Reset tokens and try again with fresh session
conversation = None
cls._chat_xfe = ""
# Get fresh cookies
cookies = await cls.get_default_cookies(session)
# If we have challenge data, try to use it
if challenge_data and isinstance(challenge_data, dict):
# Extract any useful information from challenge data
# This could be used to build a better response in the future
pass
continue
else:
raise DuckDuckGoChallengeError(f"Challenge error after {cls.max_retries} retries")
except json.JSONDecodeError:
# If we can't parse the JSON, assume it's a challenge error anyway
if retry_count < cls.max_retries:
retry_count += 1
wait_time = cls.base_delay * (2 ** retry_count) * (1 + random.random())
await asyncio.sleep(wait_time)
# Reset tokens and try again with fresh session
conversation = None
cls._chat_xfe = ""
cookies = await cls.get_default_cookies(session)
continue
else:
raise DuckDuckGoChallengeError(f"Challenge error after {cls.max_retries} retries")
except Exception as e:
# If any other error occurs during handling, still try to recover
if retry_count < cls.max_retries:
retry_count += 1
wait_time = cls.base_delay * (2 ** retry_count) * (1 + random.random())
await asyncio.sleep(wait_time)
# Reset tokens and try again with fresh session
conversation = None
cls._chat_xfe = ""
cookies = await cls.get_default_cookies(session)
continue
else:
raise DuckDuckGoChallengeError(f"Challenge error after {cls.max_retries} retries: {str(e)}")
# For other status codes, use the standard error handler
await raise_for_status(response) await raise_for_status(response)
reason = None reason = None
full_message = "" full_message = ""
@@ -328,6 +489,11 @@ class DDG(AsyncGeneratorProvider, ProviderModelMixin):
if error_type == "ERR_CONVERSATION_LIMIT": if error_type == "ERR_CONVERSATION_LIMIT":
raise ConversationLimitError(error_type) raise ConversationLimitError(error_type)
raise RateLimitError(error_type) raise RateLimitError(error_type)
elif message.get("status") == 418 and error_type == "ERR_CHALLENGE":
# Handle challenge error by refreshing tokens and retrying
if retry_count < cls.max_retries:
# Don't raise here, let the outer exception handler retry
raise DuckDuckGoChallengeError(f"Challenge detected: {error_type}")
raise DuckDuckGoSearchException(error_type) raise DuckDuckGoSearchException(error_type)
if "message" in message: if "message" in message:
@@ -339,15 +505,19 @@ class DDG(AsyncGeneratorProvider, ProviderModelMixin):
reason = "stop" reason = "stop"
# Step 8: Update conversation with response information # Step 8: Update conversation with response information
if return_conversation: # Always update the VQD tokens from the response headers
conversation.message_history.append({"role": "assistant", "content": full_message})
# Update tokens from response headers
conversation.vqd = response.headers.get("x-vqd-4", conversation.vqd) conversation.vqd = response.headers.get("x-vqd-4", conversation.vqd)
conversation.vqd_hash_1 = response.headers.get("x-vqd-hash-1", conversation.vqd_hash_1) conversation.vqd_hash_1 = response.headers.get("x-vqd-hash-1", conversation.vqd_hash_1)
# Update cookies
conversation.cookies = { conversation.cookies = {
n: c.value n: c.value
for n, c in session.cookie_jar.filter_cookies(URL(cls.url)).items() for n, c in session.cookie_jar.filter_cookies(URL(cls.url)).items()
} }
# If requested, return the updated conversation
if return_conversation:
conversation.message_history.append({"role": "assistant", "content": full_message})
yield conversation yield conversation
if reason is not None: if reason is not None:
@@ -356,11 +526,18 @@ class DDG(AsyncGeneratorProvider, ProviderModelMixin):
# If we got here, the request was successful # If we got here, the request was successful
break break
except (RateLimitError, ResponseStatusError) as e: except (RateLimitError, ResponseStatusError, DuckDuckGoChallengeError) as e:
if "429" in str(e) and retry_count < cls.max_retries: if ("429" in str(e) or isinstance(e, DuckDuckGoChallengeError)) and retry_count < cls.max_retries:
retry_count += 1 retry_count += 1
wait_time = cls.base_delay * (2 ** retry_count) * (1 + random.random()) wait_time = cls.base_delay * (2 ** retry_count) * (1 + random.random())
await asyncio.sleep(wait_time) await asyncio.sleep(wait_time)
# For challenge errors, refresh tokens and cookies
if isinstance(e, DuckDuckGoChallengeError):
# Reset conversation to force new token acquisition
conversation = None
# Clear class cache to force refresh
cls._chat_xfe = ""
else: else:
raise raise
except asyncio.TimeoutError as e: except asyncio.TimeoutError as e:

70
g4f/Provider/PollinationsAI.py
View File

@@ -46,11 +46,13 @@ class PollinationsAI(AsyncGeneratorProvider, ProviderModelMixin):
default_model = "openai" default_model = "openai"
default_image_model = "flux" default_image_model = "flux"
default_vision_model = default_model default_vision_model = default_model
default_audio_model = "openai-audio"
text_models = [default_model] text_models = [default_model]
image_models = [default_image_model] image_models = [default_image_model]
audio_models = [default_audio_model]
extra_image_models = ["flux-pro", "flux-dev", "flux-schnell", "midjourney", "dall-e-3", "turbo"] extra_image_models = ["flux-pro", "flux-dev", "flux-schnell", "midjourney", "dall-e-3", "turbo"]
vision_models = [default_vision_model, "gpt-4o-mini", "o3-mini", "openai", "openai-large"] vision_models = ["gpt-4o-mini", "o3-mini", "openai-large"] # Removed duplicates with default_model
extra_text_models = vision_models extra_text_models = [] # Will be populated with unique vision models
_models_loaded = False _models_loaded = False
model_aliases = { model_aliases = {
### Text Models ### ### Text Models ###
@@ -68,7 +70,12 @@ class PollinationsAI(AsyncGeneratorProvider, ProviderModelMixin):
"gemini-2.0": "gemini", "gemini-2.0": "gemini",
"gemini-2.0-flash": "gemini", "gemini-2.0-flash": "gemini",
"gemini-2.0-flash-thinking": "gemini-thinking", "gemini-2.0-flash-thinking": "gemini-thinking",
"deepseek-r1": "deepseek-r1-llama", "gemini-2.0-flash-thinking": "gemini-reasoning",
"deepseek-r1": "deepseek-reasoning-large",
"deepseek-r1": "deepseek-reasoning",
"deepseek-v3": "deepseek",
"qwq-32b": "qwen-reasoning",
"llama-3.2-11b": "llama-vision",
"gpt-4o-audio": "openai-audio", "gpt-4o-audio": "openai-audio",
### Image Models ### ### Image Models ###
@@ -86,37 +93,52 @@ class PollinationsAI(AsyncGeneratorProvider, ProviderModelMixin):
else: else:
new_image_models = [] new_image_models = []
# Combine models without duplicates # Combine image models without duplicates
all_image_models = ( all_image_models = [cls.default_image_model] # Start with default model
cls.image_models + # Already contains the default
cls.extra_image_models + # Add extra image models if not already in the list
new_image_models for model in cls.extra_image_models + new_image_models:
) if model not in all_image_models:
cls.image_models = list(dict.fromkeys(all_image_models)) all_image_models.append(model)
cls.image_models = all_image_models
# Update of text models # Update of text models
text_response = requests.get("https://text.pollinations.ai/models") text_response = requests.get("https://text.pollinations.ai/models")
text_response.raise_for_status() text_response.raise_for_status()
models = text_response.json() models = text_response.json()
original_text_models = [
# Purpose of text models
cls.text_models = [
model.get("name") model.get("name")
for model in models for model in models
if model.get("type") == "chat" if "input_modalities" in model and "text" in model["input_modalities"]
] ]
# Purpose of audio models
cls.audio_models = { cls.audio_models = {
model.get("name"): model.get("voices") model.get("name"): model.get("voices")
for model in models for model in models
if model.get("audio") if model.get("audio")
} }
# Combining text models # Create a set of unique text models starting with default model
combined_text = ( unique_text_models = {cls.default_model}
cls.text_models + # Already contains the default
cls.extra_text_models + # Add models from vision_models
original_text_models + unique_text_models.update(cls.vision_models)
cls.vision_models
) # Add models from the API response
cls.text_models = list(dict.fromkeys(combined_text)) for model in models:
model_name = model.get("name")
if model_name and "input_modalities" in model and "text" in model["input_modalities"]:
unique_text_models.add(model_name)
# Convert to list and update text_models
cls.text_models = list(unique_text_models)
# Update extra_text_models with unique vision models
cls.extra_text_models = [model for model in cls.vision_models if model != cls.default_model]
cls._models_loaded = True cls._models_loaded = True
@@ -128,7 +150,13 @@ class PollinationsAI(AsyncGeneratorProvider, ProviderModelMixin):
cls.image_models = [cls.default_image_model] cls.image_models = [cls.default_image_model]
debug.error(f"Failed to fetch models: {e}") debug.error(f"Failed to fetch models: {e}")
return cls.text_models + cls.image_models # Return unique models across all categories
all_models = set(cls.text_models)
all_models.update(cls.image_models)
all_models.update(cls.audio_models.keys())
result = list(all_models)
return result
@classmethod @classmethod
async def create_async_generator( async def create_async_generator(

1
g4f/Provider/PollinationsImage.py
View File

@@ -11,6 +11,7 @@ class PollinationsImage(PollinationsAI):
default_model = "flux" default_model = "flux"
default_vision_model = None default_vision_model = None
default_image_model = default_model default_image_model = default_model
audio_models = None
image_models = [default_image_model] # Default models image_models = [default_image_model] # Default models
_models_loaded = False # Add a checkbox for synchronization _models_loaded = False # Add a checkbox for synchronization

6
g4f/gui/client/static/js/chat.v1.js
View File

@@ -2306,7 +2306,7 @@ async function on_api() {
models.forEach((model) => { models.forEach((model) => {
let option = document.createElement("option"); let option = document.createElement("option");
option.value = model.name; option.value = model.name;
option.text = model.name + (model.image ? " (Image Generation)" : "") + (model.vision ? " (Image Upload)" : ""); option.text = model.name + (model.image ? " (Image Generation)" : "") + (model.vision ? " (Image Upload)" : "") + (model.audio ? " (Audio Generation)" : "") + (model.video ? " (Video Generation)" : "");
option.dataset.providers = model.providers.join(" "); option.dataset.providers = model.providers.join(" ");
modelSelect.appendChild(option); modelSelect.appendChild(option);
is_demo = model.demo; is_demo = model.demo;
@@ -2355,6 +2355,8 @@ async function on_api() {
option.text = provider.label option.text = provider.label
+ (provider.vision ? " (Image Upload)" : "") + (provider.vision ? " (Image Upload)" : "")
+ (provider.image ? " (Image Generation)" : "") + (provider.image ? " (Image Generation)" : "")
+ (provider.audio ? " (Audio Generation)" : "")
+ (provider.video ? " (Video Generation)" : "")
+ (provider.nodriver ? " (Browser)" : "") + (provider.nodriver ? " (Browser)" : "")
+ (provider.hf_space ? " (HuggingSpace)" : "") + (provider.hf_space ? " (HuggingSpace)" : "")
+ (!provider.nodriver && provider.auth ? " (Auth)" : ""); + (!provider.nodriver && provider.auth ? " (Auth)" : "");
@@ -2942,7 +2944,7 @@ async function load_provider_models(provider=null) {
let option = document.createElement('option'); let option = document.createElement('option');
option.value = model.model; option.value = model.model;
option.dataset.label = model.model; option.dataset.label = model.model;
option.text = `${model.model}${model.image ? " (Image Generation)" : ""}${model.vision ? " (Image Upload)" : ""}`; option.text = `${model.model}${model.image ? " (Image Generation)" : ""}${model.audio ? " (Audio Generation)" : ""}${model.video ? " (Video Generation)" : ""}${model.vision ? " (Image Upload)" : ""}`;
if (model.task) { if (model.task) {
option.text += ` (${model.task})`; option.text += ` (${model.task})`;
} }

6
g4f/gui/server/api.py
View File

@@ -30,6 +30,8 @@ class Api:
"name": model.name, "name": model.name,
"image": isinstance(model, models.ImageModel), "image": isinstance(model, models.ImageModel),
"vision": isinstance(model, models.VisionModel), "vision": isinstance(model, models.VisionModel),
"audio": isinstance(model, models.AudioModel),
"video": isinstance(model, models.VideoModel),
"providers": [ "providers": [
getattr(provider, "parent", provider.__name__) getattr(provider, "parent", provider.__name__)
for provider in providers for provider in providers
@@ -52,6 +54,8 @@ class Api:
"model": model, "model": model,
"default": model == provider.default_model, "default": model == provider.default_model,
"vision": getattr(provider, "default_vision_model", None) == model or model in getattr(provider, "vision_models", []), "vision": getattr(provider, "default_vision_model", None) == model or model in getattr(provider, "vision_models", []),
"audio": getattr(provider, "default_audio_model", None) == model or model in getattr(provider, "audio_models", []),
"video": getattr(provider, "default_video_model", None) == model or model in getattr(provider, "video_models", []),
"image": False if provider.image_models is None else model in provider.image_models, "image": False if provider.image_models is None else model in provider.image_models,
"task": None if not hasattr(provider, "task_mapping") else provider.task_mapping[model] if model in provider.task_mapping else None "task": None if not hasattr(provider, "task_mapping") else provider.task_mapping[model] if model in provider.task_mapping else None
} }
@@ -66,6 +70,8 @@ class Api:
"label": provider.label if hasattr(provider, "label") else provider.__name__, "label": provider.label if hasattr(provider, "label") else provider.__name__,
"parent": getattr(provider, "parent", None), "parent": getattr(provider, "parent", None),
"image": bool(getattr(provider, "image_models", False)), "image": bool(getattr(provider, "image_models", False)),
"audio": getattr(provider, "audio_models", None) is not None,
"video": getattr(provider, "video_models", None) is not None,
"vision": getattr(provider, "default_vision_model", None) is not None, "vision": getattr(provider, "default_vision_model", None) is not None,
"nodriver": getattr(provider, "use_nodriver", False), "nodriver": getattr(provider, "use_nodriver", False),
"hf_space": getattr(provider, "hf_space", False), "hf_space": getattr(provider, "hf_space", False),

2
g4f/gui/server/backend_api.py
View File

@@ -99,6 +99,8 @@ class Backend_Api(Api):
"name": model.name, "name": model.name,
"image": isinstance(model, models.ImageModel), "image": isinstance(model, models.ImageModel),
"vision": isinstance(model, models.VisionModel), "vision": isinstance(model, models.VisionModel),
"audio": isinstance(model, models.AudioModel),
"video": isinstance(model, models.VideoModel),
"providers": [ "providers": [
getattr(provider, "parent", provider.__name__) getattr(provider, "parent", provider.__name__)
for provider in providers for provider in providers

46
g4f/models.py
View File

@@ -6,6 +6,7 @@ from .Provider import IterListProvider, ProviderType
from .Provider import ( from .Provider import (
### No Auth Required ### ### No Auth Required ###
AllenAI, AllenAI,
ARTA,
Blackbox, Blackbox,
ChatGLM, ChatGLM,
ChatGptEs, ChatGptEs,
@@ -78,6 +79,9 @@ class ImageModel(Model):
class AudioModel(Model): class AudioModel(Model):
pass pass
class VideoModel(Model):
pass
class VisionModel(Model): class VisionModel(Model):
pass pass
@@ -105,7 +109,7 @@ default = Model(
]) ])
) )
default_vision = Model( default_vision = VisionModel(
name = "", name = "",
base_provider = "", base_provider = "",
best_provider = IterListProvider([ best_provider = IterListProvider([
@@ -115,6 +119,7 @@ default_vision = Model(
DeepInfraChat, DeepInfraChat,
PollinationsAI, PollinationsAI,
Dynaspark, Dynaspark,
AllenAI,
HuggingSpace, HuggingSpace,
GeminiPro, GeminiPro,
HuggingFaceAPI, HuggingFaceAPI,
@@ -263,7 +268,7 @@ llama_3_2_90b = Model(
llama_3_3_70b = Model( llama_3_3_70b = Model(
name = "llama-3.3-70b", name = "llama-3.3-70b",
base_provider = "Meta Llama", base_provider = "Meta Llama",
best_provider = IterListProvider([DDG, DeepInfraChat, LambdaChat, PollinationsAI, Jmuz, HuggingChat, HuggingFace]) best_provider = IterListProvider([Blackbox, DDG, DeepInfraChat, LambdaChat, PollinationsAI, Jmuz, HuggingChat, HuggingFace])
) )
### Mistral ### ### Mistral ###
@@ -287,7 +292,7 @@ mistral_nemo = Model(
mixtral_small_24b = Model( mixtral_small_24b = Model(
name = "mixtral-small-24b", name = "mixtral-small-24b",
base_provider = "Mistral", base_provider = "Mistral",
best_provider = IterListProvider([DDG, DeepInfraChat]) best_provider = IterListProvider([Blackbox, DDG, DeepInfraChat])
) )
### NousResearch ### ### NousResearch ###
@@ -383,7 +388,7 @@ claude_3_haiku = Model(
claude_3_5_sonnet = Model( claude_3_5_sonnet = Model(
name = 'claude-3.5-sonnet', name = 'claude-3.5-sonnet',
base_provider = 'Anthropic', base_provider = 'Anthropic',
best_provider = IterListProvider([Jmuz, Liaobots]) best_provider = IterListProvider([Blackbox, Jmuz, Liaobots])
) )
# claude 3.7 # claude 3.7
@@ -491,7 +496,7 @@ qwen_2_5_max = Model(
qwq_32b = Model( qwq_32b = Model(
name = 'qwq-32b', name = 'qwq-32b',
base_provider = 'Qwen', base_provider = 'Qwen',
best_provider = IterListProvider([Jmuz, HuggingChat]) best_provider = IterListProvider([Blackbox, PollinationsAI, Jmuz, HuggingChat])
) )
qvq_72b = VisionModel( qvq_72b = VisionModel(
name = 'qvq-72b', name = 'qvq-72b',
@@ -516,7 +521,7 @@ deepseek_chat = Model(
deepseek_v3 = Model( deepseek_v3 = Model(
name = 'deepseek-v3', name = 'deepseek-v3',
base_provider = 'DeepSeek', base_provider = 'DeepSeek',
best_provider = IterListProvider([Blackbox, DeepInfraChat, LambdaChat, OIVSCode, TypeGPT, Liaobots]) best_provider = IterListProvider([Blackbox, DeepInfraChat, LambdaChat, PollinationsAI, OIVSCode, TypeGPT, Liaobots])
) )
deepseek_r1 = Model( deepseek_r1 = Model(
@@ -645,8 +650,8 @@ minicpm_2_5 = Model(
) )
### Ai2 ### ### Ai2 ###
tulu_3_405b = Model( olmo_1_7b = Model(
name = "tulu-3-405b", name = "olmo-1-7b",
base_provider = "Ai2", base_provider = "Ai2",
best_provider = AllenAI best_provider = AllenAI
) )
@@ -657,6 +662,18 @@ olmo_2_13b = Model(
best_provider = AllenAI best_provider = AllenAI
) )
olmo_2_32b = Model(
name = "olmo-2-32b",
base_provider = "Ai2",
best_provider = AllenAI
)
olmo_4_synthetic = VisionModel(
name = "olmo-4-synthetic",
base_provider = "Ai2",
best_provider = AllenAI
)
tulu_3_1_8b = Model( tulu_3_1_8b = Model(
name = "tulu-3-1-8b", name = "tulu-3-1-8b",
base_provider = "Ai2", base_provider = "Ai2",
@@ -669,12 +686,13 @@ tulu_3_70b = Model(
best_provider = AllenAI best_provider = AllenAI
) )
olmoe_0125 = Model( tulu_3_405b = Model(
name = "olmoe-0125", name = "tulu-3-405b",
base_provider = "Ai2", base_provider = "Ai2",
best_provider = AllenAI best_provider = AllenAI
) )
### Liquid AI ###
lfm_40b = Model( lfm_40b = Model(
name = "lfm-40b", name = "lfm-40b",
base_provider = "Liquid AI", base_provider = "Liquid AI",
@@ -710,7 +728,7 @@ sd_3_5 = ImageModel(
flux = ImageModel( flux = ImageModel(
name = 'flux', name = 'flux',
base_provider = 'Black Forest Labs', base_provider = 'Black Forest Labs',
best_provider = IterListProvider([Blackbox, PollinationsImage, Websim, HuggingSpace]) best_provider = IterListProvider([Blackbox, PollinationsImage, Websim, HuggingSpace, ARTA])
) )
flux_pro = ImageModel( flux_pro = ImageModel(
@@ -922,11 +940,13 @@ class ModelUtils:
minicpm_2_5.name: minicpm_2_5, minicpm_2_5.name: minicpm_2_5,
### Ai2 ### ### Ai2 ###
tulu_3_405b.name: tulu_3_405b, olmo_1_7b.name: olmo_1_7b,
olmo_2_13b.name: olmo_2_13b, olmo_2_13b.name: olmo_2_13b,
olmo_2_32b.name: olmo_2_32b,
olmo_4_synthetic.name: olmo_4_synthetic,
tulu_3_1_8b.name: tulu_3_1_8b, tulu_3_1_8b.name: tulu_3_1_8b,
tulu_3_70b.name: tulu_3_70b, tulu_3_70b.name: tulu_3_70b,
olmoe_0125.name: olmoe_0125, tulu_3_405b.name: tulu_3_405b,
### Liquid AI ### ### Liquid AI ###
lfm_40b.name: lfm_40b, lfm_40b.name: lfm_40b,