Replace Novita AI with ZeroGPU Chat API (RunPod)

Fix indentation issues in prepare_context_for_llm and _truncate_to_tokens methods

FINAL FIX: Correct except clause indentation - ensure proper alignment with try statement

Fix return statement and else clause indentation in response handling

Fix else clause indentation at line 153 - align with if stream

Fix else clause indentation in response handling

Fix raise statement indentation in exception handler

CRITICAL FIX: Correct except clause indentation at line 58 - align with try statement

Add logging for context window configuration and improve max_tokens calculation debugging

Update .env

Update token allocation for DeepSeek R1 128K context window - Set NOVITA_MODEL_CONTEXT_WINDOW to 128000 (128K tokens) - Increase USER_INPUT_MAX_TOKENS to 32000 - Increase CONTEXT_PREPARATION_BUDGET to 115000 - Increase CONTEXT_PRUNING_THRESHOLD to 115000 - Update validators to support larger token limits

Fix IndentationError at line 378: correct indentation in _truncate_to_tokens method

CRITICAL FIX: Correct except clause indentation at line 57 - align with try statement

Fix raise statement indentation

Fix IndentationError: correct else clause alignment - ensure else aligns with if stream

Fix IndentationError: correct else clause alignment at line 152

Fix critical syntax error: correct except clause indentation at line 57

Clean up try-except block formatting

Fix encoding issue: replace special character in logger message

Fix except clause indentation in llm_router.py

Fix syntax errors in llm_router.py - Fix indentation issues in try/except blocks - Fix else clause alignment

Fix max_tokens calculation to respect model context window (5000 tokens) - Add dynamic max_tokens calculation based on input size - Add novita_model_context_window configuration - Prevents 400 errors when input tokens exceed available output space

Fix max_tokens calculation to respect model context window

Create .env

Integrate Novita AI as exclusive inference provider - Add Novita AI API integration with DeepSeek-R1-Distill-Qwen-7B model - Remove all local model dependencies - Optimize token allocation for user inputs and context - Add Anaconda environment setup files - Add comprehensive test scripts and documentation

Fix: DynamicCache compatibility, dependencies, and Docker configuration

Fix: GPU tensor placement and Docker deployment configuration

Fix: BitsAndBytes compatibility and error handling

Fix: Cache directory permissions and gated repository handling

Phase 1: Remove HF API inference - Local models only

Fix infinite fallback loop in local model loading

Add initialization diagnostics and background initialization

Improve orchestrator initialization error handling and diagnostics

Update model IDs to use Cerebras deployment and add gated repository error handling

Security Enhancements: Production WSGI, Rate Limiting, Security Headers, Secure Logging

Add context mode endpoints (fresh vs relevant) and update API documentation

Add Express.js integration guide with URL troubleshooting and input validation

Add HF Spaces URL format guide with troubleshooting

Fix API documentation URLs: use correct HF Spaces .hf.space domain format and add troubleshooting section

Update README with API documentation reference

Add comprehensive Flask API documentation for integration

Fix UnboundLocalError: remove redundant os import in exception handler

Set DB_PATH environment variable in Dockerfile for explicit database location

Improve database path handling with Docker detection and fallback to /tmp

Add input validation for chat endpoint - length limits and type checking

Merge branch 'main' of https://huggingface.co/spaces/JatinAutonomousLabs/Research_AI_Assistant_API

Fix database path issue for Docker/HF Spaces - use /tmp for writable directory

Rename app.py to flask_api_standalone.py

Rename flask_api_standalone.py to app.py

Initial commit: Research AI Assistant API