- Removed empty string mapping from model_map in AnyModelProviderMixin.
- Updated clean_name function to exclude 'chat' from version patterns.
- Added stream_timeout parameter to AsyncGeneratorProvider for more flexible timeout handling.
- Enhanced chunk yielding in AsyncAuthedProvider to support stream_timeout, allowing for better control over asynchronous responses.
- Added `OPENROUTER_API_KEY` and `AZURE_API_KEYS` to `example.env`.
- Updated `AZURE_DEFAULT_MODEL` to "model-router" in `example.env`.
- Added `AZURE_ROUTES` with multiple model URLs in `example.env`.
- Changed the mapping for `"phi-4-multimodal"` in `DeepInfraChat.py` to `"microsoft/Phi-4-multimodal-instruct"`.
- Added `media` parameter to `GptOss.create_completion` method and raised a `ValueError` if `media` is provided.
- Updated `model_aliases` in `any_model_map.py` to include new mappings for various models.
- Removed several model aliases from `PollinationsAI` in `any_model_map.py`.
- Added new models and updated existing models in `model_map` across various files, including `any_model_map.py` and `__init__.py`.
- Refactored `AnyModelProviderMixin` to include `model_aliases` and updated the logic for handling model aliases.
- In PerplexityLabs.py, added logic to filter consecutive assistant messages and update message array accordingly
- Modified PerplexityLabs.py to change "messages" field to use the new formatted message list
- Adjusted error handling in PerplexityLabs.py to include a newline in error messages
- Import os in BlackForestLabs_Flux1KontextDev.py and replace media filename assignment with basename if media is None
- In Groq.py, set "active_by_default" to True for the provider
- In OpenRouter.py, added "active_by_default" as True
- In Together.py, set "active_by_default" to True
- In HuggingFaceInference.py, set "working" to False
- In models.py, changed default_model to "openai/gpt-oss-120b" instead of previous value
- In backend_api.py, added a null check in jsonify_provider_models to return 404 if response is None, and simplified get_provider_models call
- Changed "Inference API" to "Interference API" and updated corresponding documentation links in README.md
- Removed "o1" and "dall-e-3" entries from Copilot.py model_aliases
- Added "stream" and "extra_body" parameters with default values in Azure.py's create_async_generator method
- In CopilotAccount.py, included model_aliases with "gpt-4", "gpt-4o", "o1", and "dall-e-3"
- Updated conditional for provider comparison from "==" to "in" list in any_provider.py
- Modified g4f/api/__init__.py to set g4f_api_key from environment variable
- In backend_api.py, added "user" field to cached data with default "unknown"
- Changed logic in OpenaiTemplate.py read_response to check if "choice" exists before processing, and cleaned up indentation and conditionals in response parsing
- Removed unnecessary "stop" and "prompt" parameters from comments or unused code in OpenaiTemplate.py
- Tightened the check for "provider" comparison in any_provider.py to handle multiple providers properly
- Updated error message formatting in `get_provider_models` call within `Backend_Api` class
- Changed `MissingAuthError` handling to include exception type name in response
- Added generic `Exception` catch to handle unexpected errors with HTTP 500 response
- Modified `backend_api.py` file in `g4f/gui/server` directory
- Ensured all returned error messages use consistent structure with exception type and message
- Set `working = False` in Free2GPT, Startnest, and Reka providers
- Changed `default_model` in LambdaChat from `deepseek-v3-0324` to `deepseek-r1`
- Removed `deepseek-v3` alias from LambdaChat's `model_aliases`
- In Kimi provider:
- Replaced manual status check with `await raise_for_status(response)`
- Set `model` field to `"k2"` in chat completion request
- Removed unused `pass` statement
- In WeWordle provider:
- Removed `**kwargs` from `data_payload` construction
- In Reka provider:
- Set default value for `stream` to `True`
- Modified `get_cookies` call to use `cache_result=False`
- In `cli/client.py`:
- Added conditional import for `MarkItDown` with `has_markitdown` flag
- Raised `MissingRequirementsError` if `MarkItDown` is not installed
- In `gui/server/backend_api.py`:
- Imported `MissingAuthError`
- Wrapped `get_provider_models` call in try-except block to return 401 if `MissingAuthError` is raised
- Added "transparent" to `image_models` in `PollinationsAI` and mapped it to "gptimage"
- Modified transparent flag handling in `_generate_image` call in `PollinationsAI`
- Removed unused `cls.get_models()` call from image generation method in `PollinationsAI`
- Replaced `AsyncGeneratorProvider` with `AsyncAuthedProvider` in `HarProvider`
- Implemented `on_auth_async` in `HarProvider` to support browser-based auth via `nodriver`
- Replaced `create_async_generator` with `create_authed` in `HarProvider` to support `AuthResult`
- Removed custom `headers` in HAR post requests; used `auth_result.get_dict()` for `StreamSession`
- Refactored `Video` provider to support optional search in `get_response`
- Added `search` parameter to `RequestConfig.get_response` and `Video.create_async_generator`
- Improved browser automation and element interaction logic in `Video` provider
- Extracted video request interception to collect URLs using `nodriver`
- Reduced video polling loop timeout from 600 to 300 iterations in `Video`
- Updated CLI `client.py` to fix handling of `conversation.conversation` assignment
- Fixed argparse config: removed `nargs='?'` and added `metavar` for `--conversation-file`
- Improved image metadata extraction in API and backend when Pillow is available
- Modified `ImageResponse.__str__` to output HTML anchor/image tags with dimensions if present
- Added support for returning `target_path` from `copy_media` if `return_target` is True
- Changed default image processing size in `process_image` from 800x400 to 400x400
- Disabled RGBA-to-RGB flattening in `process_image`
- Improved `get_args_from_nodriver` to ensure proper referer and cookie handling
- Added helper `get_target_paths_and_urls` in `Api` to extract image dimensions from disk paths
- Introduced `clean_name` function in `Cloudflare.py` to format model names by removing specific suffixes.
- Updated `model_aliases` in `Cloudflare` class with new model mappings, and cleaned up redundant entries.
- Set `models` in the `Cloudflare` class to use keys from `model_aliases`.
- Adjusted the caching logic in `Cloudflare` to include new headers for requests.
- Added `parent` and `login_url` attributes in `DeepInfraChat` class.
- Updated `PollinationsAI` to clean up model retrieval logic and fixed handling of existing checks.
- Refactored `HarProvider` to inherit models and aliases from `LegacyLMArena`.
- Implemented loading environment variables from `.env` file in `cookies.py`.
- Updated default headers in `defaults.py` for user agent and `sec-ch-ua`.
- Cleaned up various model references in `any_model_map.py` to reflect differences in audio, vision, and other model types.
- Added a more centralized handling for API key management in `run_tools.py` to accommodate new nomenclature.
- Enhanced existing logic to allow for more granular loading and utilization of API keys from environment variables.
- Updated `PollinationsAI.py` to strip trailing periods and newlines from the prompt before encoding.
- Modified the encoding of the prompt to remove trailing percent signs after URL encoding.
- Simplified the audio response handling in `PollinationsAI.py` by removing unnecessary checks and yielding chunks directly.
- Renamed `ARTA.py` to `deprecated/ARTA.py` and updated import paths accordingly in `__init__.py`.
- Changed the `working` status of the `ARTA` class to `False` to indicate it is deprecated.
- Enhanced the `Video` class in `Video.py` to include aspect ratio handling and improved URL response caching.
- Updated the `RequestConfig` class to use a dictionary for storing URLs associated with prompts.
- Removed references to the `ARTA` provider in various files, including `models.py` and `any_provider.py`.
- Adjusted the `best_provider` assignments in `models.py` to exclude `ARTA` and include `HuggingFaceMedia` where applicable.
- Updated the response handling in `Video.py` to yield cached responses when available.
