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generate_function_chat_completion rewrote form_data['model'] to the base
model id in place. Because that dict is the same object process_chat_response
later re-submits for the post-tool-call continuation, the continuation was
access-checked against the base model instead of the user-facing preset.
For a public preset over a private/unregistered pipe base, a non-admin's
first message succeeded but the continuation after a native tool call was
denied and silently swallowed, aborting the response (admins skip the
user-only check, so they were unaffected).
Operate on a shallow copy of form_data, mirroring the openai/ollama routers
which already substitute the base model on a copy. The continuation now
re-checks the preset the user actually has access to.
Claude-Session: https://claude.ai/code/session_018toPfJW1hMXAhokGaL43Ep
Co-authored-by: Claude <noreply@anthropic.com>
Enabling ENABLE_MILVUS_MULTITENANCY_MODE with the default MILVUS_URI (embedded Milvus Lite at DATA_DIR/vector_db/milvus.db) fails on the first embedding write: _create_shared_collection calls collection.create_index(RESOURCE_ID_FIELD) with no index params. A Milvus server auto-selects a scalar index type in that case, but Milvus Lite rejects the call with "create_index missing required 'index_type' parameter", so shared collection creation raises and every embedding write 500s (memory add, file upload, knowledge writes).
Keep the parameterless call as the first attempt so behavior on Milvus servers is unchanged, fall back to an explicit INVERTED scalar index, and if that also fails log a warning and continue. The scalar index only accelerates resource_id filters; inserts and filtered queries work without it, so a missing index must not break collection creation.
Verified against embedded Milvus Lite: shared collections now create (with the warning), and memory add, file upload and memory query succeed end to end. Against a Milvus server the first attempt is identical to the current code, so nothing changes where it works today.
