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Replace hardcoded config_name='lmi' in ModelBuilder.optimize() with the model's dynamically resolved default config name. The JumpStart metadata for models like llama-3-1-8b-instruct no longer includes an 'lmi' config, causing ValueError during optimization. Also fix test_jumpstart_session_with_config_name to use the model's resolved config_name instead of hardcoding 'tgi', and update unit test assertions in test_js_builder.py accordingly.
The JumpStart metadata update changed the default config from 'lmi' to 'max_context_best_price_performance', which adds extra environment variables to container_defs. Updated all three test assertions to use ANY for the Environment dict and separately verify only the specific env vars each test cares about (OPTION_QUANTIZE, OPTION_TENSOR_PARALLEL_DEGREE, OPTION_SPECULATIVE_DRAFT_MODEL).
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