Round 15 split LlamaCppBackend.load_model into a thin wrapper that
publishes _loading_model_identifier + _loading_hf_variant under
_serial_load_lock and an inner _load_model_impl_locked body that
actually launches llama-server. The pre-existing source-inspection
regression tests inspected only load_model and broke because the
flag literals and _wait_for_vram_settle call now live in the inner
method:
- tests/test_llama_cpp_no_context_shift.py
test_no_context_shift_is_in_load_model
test_flag_sits_inside_the_base_cmd_list
- tests/test_llama_cpp_wait_for_vram_settle.py
test_load_model_calls_helper_outside_lock_and_uses_last_kill_timestamp
Update both helpers to concatenate the source of load_model AND
_load_model_impl_locked so the assertions still cover the launch
path without weakening their scope to the full module.
* Studio: hard-stop at n_ctx with a dedicated 'Context limit reached' toast
llama-server's default behavior when the KV cache fills is to silently
drop the oldest non-``n_keep`` tokens and keep generating. The UI has
no way to tell the user that earlier turns were evicted -- they just
see degraded continuity and a confusing ``5,361 / 4,096`` on the
context usage bar.
Launch llama-server with ``--no-context-shift`` so it returns a clean
error once the request would exceed ``n_ctx``. In the chat adapter,
catch the error, identify it as a context-limit error via
``isContextLimitError()``, and surface a dedicated toast that names
the exact control to adjust: the ``Context Length`` field in the chat
Settings panel.
Also add a lightweight tooltip hint on ``ContextUsageBar`` when usage
crosses 85%, so users see the "raise Context Length in Settings"
suggestion before they hit the hard stop.
Tests:
* ``test_llama_cpp_no_context_shift.py`` pins the ``--no-context-shift``
flag in the static launch-command template, and pins it inside the
unconditional ``cmd = [ ... ]`` block so a future refactor can't
hide it behind a branch.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Shorten --no-context-shift comment to 1 line
* Match backend _friendly_error rewrite in isContextLimitError
Codex review on PR caught that ``backend/routes/inference.py::_friendly_error``
rewrites the raw llama-server text
"request (X tokens) exceeds the available context size (Y tokens)"
into
"Message too long: X tokens exceeds the Y-token context window. ..."
on the main streaming GGUF path. The heuristic only looked for
"context size" / "exceeds the available context" / "context shift",
none of which survive the rewrite, so the new "Context limit reached"
toast would never fire for the most common case. Add matches for
"message too long" and "context window" so both wordings hit.
Also addresses Gemini feedback on the launch-flag test:
* Use ``inspect.getsource(LlamaCppBackend.load_model)`` instead of
reading ``__file__`` directly; scopes the assertions to the
function that actually launches llama-server.
* Replace the hardcoded ``" ]"`` indent search with a
line-at-a-time scan for a line that is just ``]``, so the test
survives reformatting.
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
