[BOT ISSUE] Databricks: add missing databricks-gpt-5-3-codex and databricks-gemma-3-12b

[github-actions]

Gap

Two models listed on the Databricks Foundation Model APIs supported models page are missing from model_list.json:

1. databricks-gpt-5-3-codex — GPT 5.3 Codex hosted on Databricks. The underlying model gpt-5.3-codex exists in the catalog (line 288) with available_providers: ["openai", "azure"], but the Databricks-specific endpoint ID is missing.
2. databricks-gemma-3-12b — Gemma 3 12B hosted on Databricks. No Gemma 3 12B entry of any kind exists in the catalog.

Neither model has a listed retirement date on the Databricks docs page.

Official sources

Model	Source	URL
databricks-gpt-5-3-codex	Databricks supported models page	https://docs.databricks.com/aws/en/machine-learning/foundation-model-apis/supported-models
databricks-gpt-5-3-codex underlying model	OpenAI (already in catalog as gpt-5.3-codex)	—
databricks-gemma-3-12b	Databricks supported models page	https://docs.databricks.com/aws/en/machine-learning/foundation-model-apis/supported-models
databricks-gemma-3-12b pricing	Databricks pricing page (listed as "Gemma 3 12B", 2.143 DBU/M input, 7.143 DBU/M output)	https://www.databricks.com/product/pricing/foundation-model-serving

Recommended catalog entries

Following the pattern of existing Databricks entries (no dollar pricing, just routing metadata):

"databricks-gpt-5-3-codex": {
  "format": "openai",
  "flavor": "chat",
  "multimodal": true,
  "displayName": "GPT-5.3 Codex",
  "reasoning": true,
  "max_input_tokens": 400000,
  "max_output_tokens": 128000,
  "available_providers": ["databricks"]
}

"databricks-gemma-3-12b": {
  "format": "openai",
  "flavor": "chat",
  "displayName": "Gemma 3 12B",
  "max_input_tokens": 131072,
  "available_providers": ["databricks"]
}

Notes

• Dollar pricing is omitted for both entries, consistent with all other databricks-* entries in the catalog (Databricks uses DBU-based pricing, not per-token dollar pricing).
• databricks-gpt-5-3-codex specs (multimodal, reasoning, token limits) mirror the underlying gpt-5.3-codex entry.
• Three other Databricks codex models (databricks-gpt-5-2-codex, databricks-gpt-5-1-codex-max, databricks-gpt-5-1-codex-mini) retired on July 16, 2026 and are excluded from this issue.

Verification checklist

• Cross-source: databricks-gpt-5-3-codex confirmed on (1) Databricks supported models page and (2) underlying gpt-5.3-codex already in catalog. databricks-gemma-3-12b confirmed on (1) Databricks supported models page and (2) Databricks pricing page.
• Already-fixed check: Neither ID exists in model_list.json. Not covered by existing bot issue (which covers databricks-gpt-5-5-pro, databricks-gemini-3-5-flash, databricks-gpt-5-4-mini).
• ID format check: Both follow the established databricks-{model} naming convention used by all 36 existing Databricks entries in the catalog.

{
  "kind": "missing_model",
  "provider": "databricks",
  "models": ["databricks-gpt-5-3-codex", "databricks-gemma-3-12b"],
  "model_specs": {
    "databricks-gpt-5-3-codex": {
      "format": "openai",
      "flavor": "chat",
      "multimodal": true,
      "displayName": "GPT-5.3 Codex",
      "reasoning": true,
      "max_input_tokens": 400000,
      "max_output_tokens": 128000,
      "available_providers": ["databricks"]
    },
    "databricks-gemma-3-12b": {
      "format": "openai",
      "flavor": "chat",
      "displayName": "Gemma 3 12B",
      "max_input_tokens": 131072,
      "available_providers": ["databricks"]
    }
  },
  "source_urls": [
    "https://docs.databricks.com/aws/en/machine-learning/foundation-model-apis/supported-models",
    "https://www.databricks.com/product/pricing/foundation-model-serving"
  ]
}

[github-actions]

Prepared catalog updates for databricks-gpt-5-3-codex, databricks-gemma-3-12b. Added models: databricks-gpt-5-3-codex, databricks-gemma-3-12b.

Verification sources: https://docs.databricks.com/aws/en/machine-learning/foundation-model-apis/supported-models, https://www.databricks.com/product/pricing/foundation-model-serving
Verified metadata applied:

• databricks-gpt-5-3-codex: format=openai, flavor=chat, displayName=GPT-5.3 Codex, max_input_tokens=400000, max_output_tokens=128000, pricing=not provided, providers=databricks, reasoning=true, multimodal=true
• databricks-gemma-3-12b: format=openai, flavor=chat, displayName=Gemma 3 12B, max_input_tokens=131072, max_output_tokens=not provided, pricing=not provided, providers=databricks

Included in the daily batch PR: #989