- Prevent path traversal in gitignore template names (Critical)
- Fix TOCTOU races in file operations with try/except pattern (High)
- Add timeout to HuggingFace API requests (Medium)
- Add missing %x00 separator in changelog fallback format (Medium)
- Filter unsanitized kwargs before passing to OpenAI SDK (High)
- Use context managers for proper client cleanup in providers (High)
- Exit with non-zero code on commit engine failure (Low)
Abstract out generate validation and error handling into BaseProvider, eliminating duplicated logic across Anthropic, OpenRouter, and OpenAI providers.
Add token limit error detection and formatting across all provider modules to surface clear diagnostics when context windows are exceeded, improving error messages and preventing silent failures.
New Features
- Introduce `is_token_limit_error` checks in Anthropic, Gemini, Hugging Face, Ollama, OpenAI, and OpenRouter providers.
- Use `format_token_limit_error` to generate user‑friendly error messages for token limit overs.
Enhancements
- Centralize token limit error handling for consistent diagnostics across providers.
- Explicitly re‑raise `RuntimeError` in Hugging Face to preserve original behavior.
Bug Fixes
- None
Add a new provider that wraps the local Ollama server using an OpenAI‑compatible client, enabling generation via `ollama_host` configuration. This introduces the first provider for local LLM inference.
New Features
- Implement OllamaProvider with a `generate()` method, supporting custom host, model selection, and robust error handling.
sankalp