July 2026 monthly summary for moltbot/moltbot focused on hardening Gemini model interactions and aligning response formats with OpenAI-compatible expectations. Key features delivered include OpenAI-compatible response payload normalization and Gemini model interaction improvements with thought_signature validation and a fallback path for Gemini 3 tool calls. Major bugs fixed include resolving thought_signature gates for Gemini latest aliases and implementing a fallback mechanism to handle unsigned tool calls with Google AI models. Overall, these changes increase reliability, reduce production risk, and improve compliance for external endpoints, enabling safer production usage and easier onboarding for new routes. Technologies and skills demonstrated include robust model integration, API payload normalization, strict input handling policies, and clear, commit-driven development with cross-team collaboration where applicable.