fix: Use a prebuilt CPU wheel for llama-cpp-python, not a source build

fix: Wire up the GGUF deployment path and fix its tokenizer mismatch

fix: Stop final synthesis from hallucinating past a fabrication refusal

fix: Repetition-loop generation, redundant tool spam, and KaTeX placeholder leak

fix: Fall back to end-of-string match for truncated tool-call JSON

fix: Extend provenance guard to 1D arrays; repair trailing-comma JSON

fix: Don't route CUDA/ZeroGPU calls through a manually-created thread

fix: Stop silent empty-answer fallback; surface tool-error reasons

fix: Enforce parameter provenance, fix rendering/citations, add tools, harden agent loop

chore: Track scripts/upload_to_hf.py

chore: Remove dead code and stale Docker/GGUF-era artifacts

fix: Don't pass the model-holding agent as a @spaces.GPU argument

debug: Add timing/token-count diagnostics and explicit EOS to PyTorch generate()

fix: Explicitly .to('cuda') instead of device_map='auto' on ZeroGPU

perf: Use SDPA attention on CUDA instead of the eager default

fix: Raise ZeroGPU call duration budget; drop stale llama.cpp comment

fix: Launch the ZeroGPU probe Gradio app on its own port, not mounted

fix: Move the ZeroGPU probe function to module scope

fix: Register a real @spaces.GPU Gradio event handler for ZeroGPU startup check

fix: Include the actual Gradio/ZeroGPU code changes missed in the last commit

feat: Move the Space from CPU-only Docker to ZeroGPU (Gradio SDK)

fix: Serialize inference requests to prevent concurrent llama.cpp crashes

perf: Build llama.cpp for AVX2/FMA instead of the generic fallback target

revert: Don't block app startup on a warm-up generation

perf: Warm up the model's KV cache during startup, not on the first user request

fix: Increase llama.cpp context window to fit the system prompt + tool schemas

fix: Load the actual fine-tuned ControlAI model on HF Spaces, not stock Qwen2.5

feat: Enforce high-speed GGUF Q4_K_M llama_cpp execution on Hugging Face Spaces CPU

perf: Preload model on container startup and optimize PyTorch CPU multi-threading

fix: Add jsonschema, scikit-learn, pyyaml, and dependencies to requirements.txt

feat: Add Dockerfile and Hugging Face Space configuration

fix: Restore fine-tuned LoRA agent default loading, space-separated array parsing, and plot rendering

fix: Ensure fine-tuned LoRA adapter is loaded by default and fix math placeholder collision in web UI

fix: Protect all LaTeX math, fractions, Greek letters, and matrix environments from markdown parser

fix: Enforce Python tool execution for plots and sanitize raw LaTeX figure tags in Web UI

feat: Add high-speed C++ GGUF and Ollama engine backends to agent orchestrator

chore: Streamline repository to focused 2-step local launcher and clean up disk

feat: Add model fusion script and Ollama Modelfile configuration

fix: Make pypdf lazy import and use requirements.txt in Colab Step 1

fix: Simplify Colab notebook, fix rank_bm25 import handling, and clean up prompts

feat: Add universal PyTorch/Transformers backend for Linux and Google Colab

feat: Initial open-source release of ControlAI