MemoryManager.get_all_tool_schemas() output was appended to AIAgent.tools
unconditionally — bypassing the enabled_toolsets / platform_toolsets filter.
Setting `platform_toolsets: telegram: []` had no effect: fact_store and other
memory provider tools still leaked into the tool surface on every session.
Impact on local models (per @thundercat49's benchmarks on Qwen3-30B-A3B Q4_K_M /
RTX 3090): tool-formatted prompts process at 134 tok/s vs 1,230 tok/s for plain
text. With 8 memory tool schemas injected, a simple 'hello' on Telegram took
~42s instead of ~1.7s. Small models also entered tool-call loops when memory
tools were the only tools present.
Gate condition (matches the natural meaning of enabled_toolsets):
None → no filter, inject (backward compat)
contains 'memory' → user opted in, inject
otherwise (including []) → skip injection
Co-authored-by: Teknium <127238744+teknium1@users.noreply.github.com>
lempkey
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