* studio: deterministic backend tool-calling wiring test
Add a deterministic, download-free test that exercises the shared tool-calling
seam both inference backends use. InferenceBackend (transformers) and
MLXInferenceBackend both render the prompt through
apply_chat_template_for_generation(..., tools=...) and stream cumulative text
into run_safetensors_tool_loop. The existing test_safetensors_tool_loop.py
covers the parser and the loop state machine with fake generators but does not
cover the backend's own tool-injection seam, so a regression that drops the
tool schema before the tokenizer, or fails to feed a tool result back into
generation, would slip through.
The test drives that seam with fakes: a tokenizer that records the tools it is
handed, a canned tool-call generation, and a stub executor. It asserts the full
chain: tools reach the chat template, the loop parses the call, the tool is
dispatched once with the parsed arguments, the result is fed back, generation
re-enters, and the final answer streams after the tool result. It also guards
that the raw tool-call markup never leaks to the client as content.
The test imports no torch, unsloth, or mlx, so it runs in the portable Backend
CI alongside the tool-call parser tests and stays sub-second. Follow-up to the
parser test PRs #5620 and #5704.
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* studio: assert the tool result is fed back before the final turn
Strengthen the wiring test so single_turn records each turn's conversation and
the test asserts the tool result message is present in the conversation handed
to the final generation turn. Event ordering alone did not catch a loop that
stops appending the tool output before re-entering generation, because the fake
generation ignores the conversation; this closes that gap.
* studio: tighten comments in tool-calling wiring test
* studio: shorten comments in tool-calling wiring test
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