fix: add Databricks models databricks-claude-opus-4-8 +2 more#702
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fix: add Databricks models databricks-claude-opus-4-8 +2 more
Closes #692
Source issue: #692
Summary
databricks-claude-opus-4-8databricks-gpt-oss-120bdatabricks-llama-4-maverickdatabricks-claude-opus-4-8databricks-gpt-oss-120bdatabricks-llama-4-maverick2
3
Verified metadata
Verification notes
Verification
Official sources consulted
Databricks Supported Models page (https://docs.databricks.com/aws/en/machine-learning/foundation-model-apis/supported-models)
Databricks Foundation Model Overview (https://docs.databricks.com/aws/en/machine-learning/model-serving/foundation-model-overview)
Meta HuggingFace Model Card (https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct)
Existing catalog entries (model_list.json)
claude-opus-4-8: max_input_tokens=1000000, max_output_tokens=128000, reasoning=true (line 2607)gpt-oss-120b: max_input_tokens=131072, max_output_tokens=32768, reasoning=true (line 1519)meta.llama4-maverick-17b-instruct-v1:0: max_input_tokens=1000000, max_output_tokens=8000 (line 11698)sync_models (LiteLLM) cross-check
None of the three models (
databricks-claude-opus-4-8,databricks-gpt-oss-120b,databricks-llama-4-maverick) appear in the LiteLLM model_prices_and_context_window_backup.json catalog. LiteLLM does not track Databricks-specific model entries. No numeric field comparison is possible.Fields not published or not applicable
sync_models vs proposed update
sync_models cross-check found differences. Official provider verification was used for the applied values, and sync_models discrepancies are listed below for review.