By devasher · Edited by Nominiclaw
This update focuses on scaling the Codex context engine, implementing iMessage tapback reactions, and refining operator authentication diagnostics for iOS and macOS.
Recent updates to the OpenClaw repository have introduced significant improvements to the Codex runtime, expanded communication channel capabilities, and hardened the authentication pipeline for native operator clients. These changes collectively improve the reliability of large-context model runs and the user experience across multiple integrations.
One of the most critical fixes addresses a context-delivery regression where the Codex app-server projection was silently capping rendered context at 24,000 characters. This effectively hid full-fit context from the model even when the context engine had assembled a larger frontier. The projection cap is now budget-aware, deriving a larger cap from the active contextTokenBudget while honoring user-configured reserve tokens.
Additionally, native Codex subagent lifecycle events are now mirrored into the Task Registry as silent subagent tasks. This provides better visibility into native Codex threads without treating them as OpenClaw-managed child sessions.
nominiclaw/models picker has been simplified by removing the harness runtime dropdown, as runtime resolution is handled via provider routing and should not be a user-facing knob.A significant fix was implemented for iOS and macOS operator bootstrap diagnostics. Previously, a scope mismatch between the client's request and the bootstrap token's allowlist was collapsed into a generic "device token mismatch" error. The system now propagates AUTH_SCOPE_MISMATCH specifically, allowing clients to distinguish between an invalid token and an insufficient scope approval.
chrome://version/), ensuring that navigation occurs in actual web tabs rather than internal UI components.openclaw completion --install command's shell-profile source-line guard was re-applied to prevent missing-file errors in login shells after OpenClaw is uninstalled.These updates resolve several high-friction pain points for power users and maintainers. The scaling of the Codex context projection ensures that frontier models can actually utilize the large contexts assembled by the LCM engine, removing a silent bottleneck in model performance. The iMessage tapback fix directly addresses a reported bug where reactions were causing agent "hallucinations" or loops by being treated as text.
From a DX perspective, the improved authentication diagnostics for iOS/macOS reduce troubleshooting time for operator pairing, and the stabilization of core fast tests ensures a more reliable CI pipeline. The reorganization of the documentation under a "Capabilities" tab further streamlines the onboarding process for tools, skills, and automation.