v0.9.2

Added

• Thinking-mode tool-call recovery — reasoning models (DeepSeek-R1,
  Qwen 2.5/3, GLM) frequently emit tool-call JSON inside the content
  channel instead of the structured tool_calls field. acp-bridge
  previously treated such responses as a final text answer, meaning the
  agent never dispatched the requested tool and the session stalled.
  The engine now sanitizes the reasoning scaffolding
  (strip_thinking_blocks) and recovers embedded tool-call JSON —
  fenced ```json / ```tool_call blocks, bare balanced objects with
  name + arguments/args/parameters/input, or the whole-call
  {"function": {…}} shape — reproducing the OpenAI-style tool_call
  objects the structured path would have produced. Recovered rounds
  continue the normal agentic loop and are logged for debugging.
  Eleven new unit tests (thinking_recovery_tests). Project page:
  wchung.tw/acp-bridge/.