refactor(core): rebrand to AI-Inferoxy and update API endpoints

- [api] Modify token provisioning endpoint to `/keys/provision/hf` (hf_token_utils.py:get_proxy_token():49)
- [api] Modify token status report endpoint to `/keys/report/hf` (hf_token_utils.py:report_token_status():156)
- [ui] Update Gradio application block title to "AI-Inferoxy AI Hub" (app.py:create_app():27)
- [ui] Change main header and descriptive text to reference "AI-Inferoxy" (ui_components.py:create_main_header():707,709)
- [docs] Update footer documentation link to "AI‑Inferoxy docs" (ui_components.py:create_footer():728)
- [docs] Replace "HF-Inferoxy" with "AI-Inferoxy" in README.md titles, headings, descriptions, and links (README.md:2,11,13,27,39,56,60,74)
- [refactor] Update docstring, proxy server comment, and error message (chat_handler.py:chat_respond():37,50,130)
- [refactor] Update docstring and connection error messages (hf_token_utils.py:get_proxy_token():19,76,83)
- [refactor] Update docstrings, proxy comments, and error messages (image_handler.py:generate_image():45,57,115, generate_image_to_image():169,181,239)
- [refactor] Update docstring, proxy comment, and error message (tts_handler.py:generate_text_to_speech():39,51,117)
- [refactor] Update docstring, proxy comment, and error message (video_handler.py:generate_video():35,47,100)
- [refactor] Replace "HF-Inferoxy" with "AI-Inferoxy" in comments, docstrings, and error messages (utils.py)

README.md

@@ -1,5 +1,5 @@
 ---
-title: HF-Inferoxy AI Hub
+title: AI-Inferoxy AI Hub
 emoji: 🚀
 colorFrom: purple
 colorTo: blue
@@ -11,9 +11,9 @@ hf_oauth_authorized_org:
     - nazdev
 ---
 
-## 🚀 HF‑Inferoxy AI Hub
+## 🚀 AI‑Inferoxy AI Hub
 
-A focused, multi‑modal AI workspace. Chat, create images, transform images, generate short videos, and synthesize speech — all routed through HF‑Inferoxy for secure, quota‑aware token management and provider failover.
+A focused, multi‑modal AI workspace. Chat, create images, transform images, generate short videos, and synthesize speech — all routed through AI‑Inferoxy for secure, quota‑aware token management and provider failover.
 
 ### Highlights
 - Chat, Image, Image‑to‑Image, Video, and TTS in one app
@@ -23,7 +23,7 @@ A focused, multi‑modal AI workspace. Chat, create images, transform images, ge
 
 ### Quick Start (Hugging Face Space)
 Add Space secrets:
-- `PROXY_URL`: HF‑Inferoxy server URL (e.g., `https://proxy.example.com`)
+- `PROXY_URL`: AI‑Inferoxy server URL (e.g., `https://proxy.example.com`)
 - `PROXY_KEY`: API key for your proxy
   
 Org access control: instead of a custom `ALLOWED_ORGS` secret and runtime checks, configure org restrictions in README metadata using `hf_oauth_authorized_org` per HF Spaces OAuth docs. Example:
@@ -38,7 +38,7 @@ hf_oauth_authorized_org:
 The app reads these at runtime — no extra setup required.
 
 ### How It Works
-1. The app requests a valid token from HF‑Inferoxy for each call.
+1. The app requests a valid token from AI‑Inferoxy for each call.
 2. Requests are sent to the selected provider (or `auto`).
 3. Status is reported back for rotation and telemetry.
 
@@ -54,12 +54,12 @@ The app reads these at runtime — no extra setup required.
 - Provider from dropdown. Default is `auto`.
 
 ### Providers
-Compatible with providers configured in HF‑Inferoxy, including `auto` (default), `hf-inference`, `cerebras`, `cohere`, `groq`, `together`, `fal-ai`, `replicate`, `nebius`, `nscale`, and others.
+Compatible with providers configured in AI‑Inferoxy, including `auto` (default), `hf-inference`, `cerebras`, `cohere`, `groq`, `together`, `fal-ai`, `replicate`, `nebius`, `nscale`, and others.
 
 ### Security
 - HF OAuth validates account; org membership is enforced by Space metadata (`hf_oauth_authorized_org`).
 - Inference uses proxy‑managed tokens. Secrets are Space secrets.
-- RBAC, rotation, and quarantine handled by HF‑Inferoxy.
+- RBAC, rotation, and quarantine handled by AI‑Inferoxy.
 
 ### Troubleshooting
 - 401/403: verify secrets and org access.
@@ -72,9 +72,9 @@ This project is licensed under the GNU Affero General Public License v3.0 (AGPL-
 
 ### Links
 - Live Space: [huggingface.co/spaces/nazdridoy/inferoxy-hub](https://huggingface.co/spaces/nazdridoy/inferoxy-hub)
-- HF‑Inferoxy docs: [nazdridoy.github.io/hf-inferoxy](https://nazdridoy.github.io/hf-inferoxy/)
+- AI‑Inferoxy docs: [ai-inferoxy/huggingface-hub-integration](https://nazdridoy.github.io/ai-inferoxy/)
 - Gradio docs: [gradio.app/docs](https://gradio.app/docs/)
 
-— Built with HF‑Inferoxy for intelligent token management.
+— Built with AI‑Inferoxy for intelligent token management.
 
 

app.py

@@ -1,5 +1,5 @@
 """
-HF-Inferoxy AI Hub - Main application entry point.
+AI-Inferoxy AI Hub - Main application entry point.
 A comprehensive AI platform with chat and image generation capabilities.
 """
 
@@ -24,7 +24,7 @@ def create_app():
     """Create and configure the main Gradio application."""
     
     # Create the main Gradio interface with tabs
-    with gr.Blocks(title="HF-Inferoxy AI Hub", theme=get_gradio_theme()) as demo:
+    with gr.Blocks(title="AI-Inferoxy AI Hub", theme=get_gradio_theme()) as demo:
         # Sidebar with HF OAuth login/logout
         with gr.Sidebar():
             gr.LoginButton()

chat_handler.py

@@ -1,5 +1,5 @@
 """
-Chat functionality handler for HF-Inferoxy AI Hub.
+Chat functionality handler for AI-Inferoxy AI Hub.
 Handles chat completion requests with streaming responses.
 """
 
@@ -34,7 +34,7 @@ def chat_respond(
     client_name: str | None = None,
 ):
     """
-    Chat completion function using HF-Inferoxy token management.
+    Chat completion function using AI-Inferoxy token management.
     """
     # Validate proxy API key
     is_valid, error_msg = validate_proxy_key()
@@ -46,7 +46,7 @@ def chat_respond(
     
     token_id = None
     try:
-        # Get token from HF-Inferoxy proxy server with timeout handling
+        # Get token from AI-Inferoxy proxy server with timeout handling
         print(f"🔑 Chat: Requesting token from proxy...")
         token, token_id = get_proxy_token(api_key=proxy_api_key)
         print(f"✅ Chat: Got token: {token_id}")
@@ -128,7 +128,7 @@ def chat_respond(
             
     except ConnectionError as e:
         # Handle proxy connection errors
-        error_msg = f"Cannot connect to HF-Inferoxy server: {str(e)}"
+        error_msg = f"Cannot connect to AI-Inferoxy server: {str(e)}"
         print(f"🔌 Chat connection error: {error_msg}")
         if token_id:
             report_token_status(token_id, "error", error_msg, api_key=proxy_api_key, client_name=client_name)

hf_token_utils.py

@@ -17,7 +17,7 @@ def get_proxy_token(proxy_url: str = None, api_key: str = None) -> Tuple[str, st
     Get a valid token from the proxy server with timeout and retry logic.
     
     Args:
-        proxy_url: URL of the HF-Inferoxy server (optional, will use PROXY_URL env var if not provided)
+        proxy_url: URL of the AI-Inferoxy server (optional, will use PROXY_URL env var if not provided)
         api_key: Your API key for authenticating with the proxy server
         
     Returns:
@@ -46,7 +46,7 @@ def get_proxy_token(proxy_url: str = None, api_key: str = None) -> Tuple[str, st
             print(f"🔄 Token provision attempt {attempt + 1}/{RETRY_ATTEMPTS}")
             
             response = requests.get(
-                f"{proxy_url}/keys/provision", 
+                f"{proxy_url}/keys/provision/hf", 
                 headers=headers,
                 timeout=REQUEST_TIMEOUT
             )
@@ -73,14 +73,14 @@ def get_proxy_token(proxy_url: str = None, api_key: str = None) -> Tuple[str, st
             print(f"🔌 {error_msg}")
             
             if attempt == RETRY_ATTEMPTS - 1:  # Last attempt
-                raise ConnectionError(f"Cannot connect to HF-Inferoxy at {proxy_url}. Please check if the server is running.")
+                raise ConnectionError(f"Cannot connect to AI-Inferoxy at {proxy_url}. Please check if the server is running.")
             
         except Timeout as e:
             error_msg = f"Request timeout after {REQUEST_TIMEOUT}s: {str(e)}"
             print(f"⏰ {error_msg}")
             
             if attempt == RETRY_ATTEMPTS - 1:  # Last attempt
-                raise TimeoutError(f"Timeout connecting to HF-Inferoxy. Server may be overloaded.")
+                raise TimeoutError(f"Timeout connecting to AI-Inferoxy. Server may be overloaded.")
                 
         except RequestException as e:
             error_msg = f"Request error: {str(e)}"
@@ -109,7 +109,7 @@ def report_token_status(
         token_id: ID of the token to report (from get_proxy_token)
         status: Status to report ('success' or 'error')
         error: Error message if status is 'error'
-        proxy_url: URL of the HF-Inferoxy server (optional, will use PROXY_URL env var if not provided)
+        proxy_url: URL of the AI-Inferoxy server (optional, will use PROXY_URL env var if not provided)
         api_key: Your API key for authenticating with the proxy server
         
     Returns:
@@ -154,7 +154,7 @@ def report_token_status(
     for attempt in range(RETRY_ATTEMPTS):
         try:
             response = requests.post(
-                f"{proxy_url}/keys/report", 
+                f"{proxy_url}/keys/report/hf", 
                 json=payload, 
                 headers=headers,
                 timeout=REQUEST_TIMEOUT

image_handler.py

@@ -1,5 +1,5 @@
 """
-Image generation functionality handler for HF-Inferoxy AI Hub.
+Image generation functionality handler for AI-Inferoxy AI Hub.
 Handles text-to-image generation with multiple providers.
 """
 
@@ -43,7 +43,7 @@ def generate_image(
     client_name: str | None = None,
 ):
     """
-    Generate an image using the specified model and provider through HF-Inferoxy.
+    Generate an image using the specified model and provider through AI-Inferoxy.
     """
     # Validate proxy API key
     is_valid, error_msg = validate_proxy_key()
@@ -54,7 +54,7 @@ def generate_image(
     
     token_id = None
     try:
-        # Get token from HF-Inferoxy proxy server with timeout handling
+        # Get token from AI-Inferoxy proxy server with timeout handling
         print(f"🔑 Image: Requesting token from proxy...")
         token, token_id = get_proxy_token(api_key=proxy_api_key)
         print(f"✅ Image: Got token: {token_id}")
@@ -113,7 +113,7 @@ def generate_image(
         
     except ConnectionError as e:
         # Handle proxy connection errors
-        error_msg = f"Cannot connect to HF-Inferoxy server: {str(e)}"
+        error_msg = f"Cannot connect to AI-Inferoxy server: {str(e)}"
         print(f"🔌 Image connection error: {error_msg}")
         if token_id:
             report_token_status(token_id, "error", error_msg, api_key=proxy_api_key, client_name=client_name)
@@ -167,7 +167,7 @@ def generate_image_to_image(
     client_name: str | None = None,
 ):
     """
-    Generate an image using image-to-image generation with the specified model and provider through HF-Inferoxy.
+    Generate an image using image-to-image generation with the specified model and provider through AI-Inferoxy.
     """
     # Validate proxy API key
     is_valid, error_msg = validate_proxy_key()
@@ -178,7 +178,7 @@ def generate_image_to_image(
     
     token_id = None
     try:
-        # Get token from HF-Inferoxy proxy server with timeout handling
+        # Get token from AI-Inferoxy proxy server with timeout handling
         print(f"🔑 Image-to-Image: Requesting token from proxy...")
         token, token_id = get_proxy_token(api_key=proxy_api_key)
         print(f"✅ Image-to-Image: Got token: {token_id}")
@@ -237,7 +237,7 @@ def generate_image_to_image(
         
     except ConnectionError as e:
         # Handle proxy connection errors
-        error_msg = f"Cannot connect to HF-Inferoxy server: {str(e)}"
+        error_msg = f"Cannot connect to AI-Inferoxy server: {str(e)}"
         print(f"🔌 Image-to-Image connection error: {error_msg}")
         if token_id:
             report_token_status(token_id, "error", error_msg, api_key=proxy_api_key, client_name=client_name)

tts_handler.py

@@ -1,5 +1,5 @@
 """
-Text-to-speech functionality handler for HF-Inferoxy AI Hub.
+Text-to-speech functionality handler for AI-Inferoxy AI Hub.
 Handles text-to-speech generation with multiple providers.
 """
 
@@ -37,7 +37,7 @@ def generate_text_to_speech(
     client_name: str | None = None,
 ):
     """
-    Generate speech from text using the specified model and provider through HF-Inferoxy.
+    Generate speech from text using the specified model and provider through AI-Inferoxy.
     """
     # Validate proxy API key
     is_valid, error_msg = validate_proxy_key()
@@ -48,7 +48,7 @@ def generate_text_to_speech(
     
     token_id = None
     try:
-        # Get token from HF-Inferoxy proxy server with timeout handling
+        # Get token from AI-Inferoxy proxy server with timeout handling
         print(f"🔑 TTS: Requesting token from proxy...")
         token, token_id = get_proxy_token(api_key=proxy_api_key)
         print(f"✅ TTS: Got token: {token_id}")
@@ -115,7 +115,7 @@ def generate_text_to_speech(
         
     except ConnectionError as e:
         # Handle proxy connection errors
-        error_msg = f"Cannot connect to HF-Inferoxy server: {str(e)}"
+        error_msg = f"Cannot connect to AI-Inferoxy server: {str(e)}"
         print(f"🔌 TTS connection error: {error_msg}")
         if token_id:
             report_token_status(token_id, "error", error_msg, api_key=proxy_api_key, client_name=client_name)

ui_components.py

@@ -1,5 +1,5 @@
 """
-UI components for HF-Inferoxy AI Hub.
+UI components for AI-Inferoxy AI Hub.
 Contains functions to create different sections of the Gradio interface.
 """
 
@@ -702,9 +702,9 @@ def create_image_examples(img_prompt):
 def create_main_header():
     """Create the main header for the application."""
     gr.Markdown("""
-    # 🚀 HF-Inferoxy AI Hub
+    # 🚀 AI-Inferoxy AI Hub
     
-    A comprehensive AI platform combining chat, image generation, image-to-image, text-to-video, and text-to-speech capabilities with intelligent token management through HF-Inferoxy.
+    A comprehensive AI platform combining chat, image generation, image-to-image, text-to-video, and text-to-speech capabilities with intelligent token management through AI-Inferoxy.
     
     **Features:**
     - 💬 **Smart Chat**: Conversational AI with streaming responses
@@ -724,7 +724,7 @@ def create_footer():
         ---
         ### 🔗 Links
         - **Project repo**: https://github.com/nazdridoy/inferoxy-hub
-        - **HF‑Inferoxy docs**: https://nazdridoy.github.io/hf-inferoxy/
+        - **AI‑Inferoxy docs**: https://nazdridoy.github.io/ai-inferoxy/
         - **License**: https://github.com/nazdridoy/inferoxy-hub/blob/main/LICENSE
         """
     )

utils.py

@@ -1,5 +1,5 @@
 """
-Utility functions and constants for HF-Inferoxy AI Hub.
+Utility functions and constants for AI-Inferoxy AI Hub.
 Contains configuration constants and helper functions.
 """
 

video_handler.py

@@ -1,5 +1,5 @@
 """
-Text-to-video functionality handler for HF-Inferoxy AI Hub.
+Text-to-video functionality handler for AI-Inferoxy AI Hub.
 Handles text-to-video generation with multiple providers.
 """
 
@@ -33,7 +33,7 @@ def generate_video(
     client_name: str | None = None,
 ):
     """
-    Generate a video using the specified model and provider through HF-Inferoxy.
+    Generate a video using the specified model and provider through AI-Inferoxy.
     Returns (video_bytes_or_url, status_message)
     """
     # Validate proxy API key
@@ -45,7 +45,7 @@ def generate_video(
 
     token_id = None
     try:
-        # Get token from HF-Inferoxy proxy server with timeout handling
+        # Get token from AI-Inferoxy proxy server with timeout handling
         print(f"🔑 Video: Requesting token from proxy...")
         token, token_id = get_proxy_token(api_key=proxy_api_key)
         print(f"✅ Video: Got token: {token_id}")
@@ -97,7 +97,7 @@ def generate_video(
         return video_output, format_success_message("Video generated", f"using {model_name} on {provider}")
 
     except ConnectionError as e:
-        error_msg = f"Cannot connect to HF-Inferoxy server: {str(e)}"
+        error_msg = f"Cannot connect to AI-Inferoxy server: {str(e)}"
         print(f"🔌 Video connection error: {error_msg}")
         if token_id:
             report_token_status(token_id, "error", error_msg, api_key=proxy_api_key, client_name=client_name)