v0.1.32 - llama.cpp continuation-prefill hotfix

v0.1.32, llama.cpp continuation-prefill hotfix (2026-04-10)

This hotfix fixes a concrete local-model failure in the agent loop:
when Successor auto-continued after an assistant turn that contained no
visible content or after a normal assistant reply while a task or
verification item was still in_progress, the next request could be
sent to llama.cpp with the prompt ending on assistant.

That shape is rejected by llama.cpp thinking mode with:
HTTP 400: Assistant response prefill is incompatible with enable_thinking.

What landed

• src/successor/chat_agent_loop.py
  • adds a transient internal user continuation prefill on outbound
    internal re-entry turns when the API-visible history would otherwise
    end on assistant
  • keeps the chat transcript unchanged while making the provider-facing
    prompt valid for llama.cpp thinking mode
  • marks the visible (no answer — model produced only reasoning)
    placeholder as synthetic so it no longer leaks back into model
    history
• tests
  • adds regression coverage for task-ledger continuation,
    verification-ledger continuation, and the exact reasoning-only
    placeholder path that previously triggered the 400

Release verification

• lint:
  • ruff check src/successor/chat_agent_loop.py tests/test_chat_tasks.py tests/test_chat_verification.py
• targeted tests:
  • PYTHONPATH=src pytest -q tests/test_chat_tasks.py tests/test_chat_verification.py
  • 9 passed in 0.22s
  • PYTHONPATH=src pytest -q tests/test_chat_subagents.py tests/test_file_tools.py tests/test_chat_bash.py
  • 71 passed in 1.60s
• live llama.cpp verification:
  • confirmed a raw assistant-ended prompt still returns HTTP 400
  • confirmed the same prompt succeeds once the internal continuation
    user prefill is appended