* Update DDG.py: added Llama 3.3 Instruct and o3-mini
Duck.ai now supports o3-mini, and previous Llama 3.1 70B is now replaced by Llama 3.3 70B.
* Update DDG.py: change Llama 3.3 70B Instruct ID to "meta-llama/Llama-3.3-70B-Instruct-Turbo"
Fixed typo in full model name
* Update Cerebras.py: add "deepseek-r1-distill-llama-70b" to the models list
Cerebras now provides inference for a DeepSeek-R1 distilled to Llama 3.3 70B as well.
* Update models.py: reflect changes in DDG provider
- Removed DDG from best providers list for Llama 3.1 70B
- Added DDG to best providers list for o3-mini and Llama 3.3 70B
* A small update in HuggingFaceInference get_models() method
Previously, get_models() method was returning "TypeError: string indices must be integers, not 'str' on line 31" from time to time, possibly because of network error so the models list couldn't load and method was trying to parse this data. Now the code is updated in order to check for any potential errors first.
* Update BlackboxAPI.py: remove unused imports
format_prompt() and JSON library are not being used here, so they may be removed safely.
* Update copilot.yml
This job is failing due to the error in JavaScript code; this commit is trying to fix it.
* Update providers-and-models.md to reflect latest changes
Updated models list and removed providers that are currently not working.
* Adding New Models and Enhancing Provider Functionality
* fix(core): handle model errors and improve configuration
- Import ModelNotSupportedError for proper exception handling in model resolution
- Update login_url configuration to reference class URL attribute dynamically
- Remove redundant typing imports after internal module reorganization
* feat(g4f/Provider/PerplexityLabs.py): Add new Perplexity models and update provider listings
- Update PerplexityLabs provider with expanded Sonar model family including pro/reasoning variants
- Add new text models: sonar-reasoning-pro to supported model catalog
- Standardize model naming conventions across provider documentation
* feat(g4f/models.py): add Sonar Reasoning Pro model configuration
- Add new model to Perplexity AI text models section
- Include model in ModelUtils.convert mapping with PerplexityLabs provider
- Maintain consistent configuration pattern with existing Sonar variants
* feat(docs/providers-and-models.md): update provider models and add new reasoning model
- Update PerplexityLabs text models to standardized sonar naming convention
- Add new sonar-reasoning-pro model to text models table
- Include latest Perplexity AI documentation references for new model
* docs(docs/providers-and-models.md): update AI providers documentation
- Remove deprecated chatgptt.me from no-auth providers list
- Delete redundant Auth column from HuggingSpace providers table
- Update PerplexityLabs model website URLs to sonar.perplexity.ai
- Adjust provider counts for GPT-4/GPT-4o models in text models section
- Fix inconsistent formatting in image models provider listings
* chore(g4f/models.py): remove deprecated ChatGptt provider integration
- Remove ChatGptt import from provider dependencies
- Exclude ChatGptt from default model's best_provider list
- Update gpt_4 model configuration to eliminate ChatGptt reference
- Modify gpt_4o vision model provider hierarchy
- Adjust gpt_4o_mini provider selection parameters
BREAKING CHANGE: Existing integrations using ChatGptt provider will no longer function
* Disabled provider (g4f/Provider/ChatGptt.py > g4f/Provider/not_working/ChatGptt.py): Problem with Cloudflare
* fix(g4f/Provider/CablyAI.py): update API endpoints and model configurations
* docs(docs/providers-and-models.md): update model listings and provider capabilities
* feat(g4f/models.py): Add Hermes-3 model and enhance provider configs
* feat(g4f/Provider/CablyAI.py): Add free tier indicators to model aliases
* refactor(g4f/tools/run_tools.py): modularize thinking chunk handling
* fix(g4f/Provider/DeepInfraChat.py): resolve duplicate keys and enhance request headers
* feat(g4f/Provider/DeepInfraChat.py): Add multimodal image support and improve model handling
* chore(g4f/models.py): update default vision model providers
* feat(docs/providers-and-models.md): update provider capabilities and model specifications
* Update docs/client.md
* docs(docs/providers-and-models.md): Update DeepInfraChat models documentation
* feat(g4f/Provider/DeepInfraChat.py): add new vision models and expand model aliases
* feat(g4f/models.py): update model configurations and add new providers
* feat(g4f/models.py): Update model configurations and add new AI models
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Co-authored-by: kqlio67 <>
