fix: add Databricks models databricks-gpt-5 +2 more

[github-actions]

fix: add Databricks models databricks-gpt-5 +2 more

Closes #641

Source issue: #641

Summary

Field	Value
Provider	databricks
Primary model	databricks-gpt-5
Changed models	databricks-gpt-5 databricks-gpt-5-1 databricks-gpt-5-mini
Added models	databricks-gpt-5 databricks-gpt-5-1 databricks-gpt-5-mini
Updated models	None
Verification sources	1 2

Verified metadata

Model	Display name	Parent	Providers	Format	Flavor	Token limits	Pricing	Lifecycle
databricks-gpt-5	GPT-5		databricks	openai	chat	input=400000, output=128000	n/a	multimodal=true
databricks-gpt-5-1	GPT-5.1		databricks	openai	chat	input=400000, output=128000	n/a	multimodal=true
databricks-gpt-5-mini	GPT-5 mini		databricks	openai	chat	input=400000, output=128000	n/a	multimodal=true

Verification notes

No LLM verification step ran — model metadata was already complete in the issue.

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.

Model	Field	Proposed update	sync_models	sync_models source models
databricks-gpt-5	max_input_tokens	400000	272000	databricks/databricks-gpt-5
databricks-gpt-5	input_cost_per_mil_tokens	n/a	1.24999	databricks/databricks-gpt-5
databricks-gpt-5	output_cost_per_mil_tokens	n/a	9.99999	databricks/databricks-gpt-5
databricks-gpt-5-1	max_input_tokens	400000	272000	databricks/databricks-gpt-5-1
databricks-gpt-5-1	input_cost_per_mil_tokens	n/a	1.24999	databricks/databricks-gpt-5-1
databricks-gpt-5-1	output_cost_per_mil_tokens	n/a	9.99999	databricks/databricks-gpt-5-1
databricks-gpt-5-mini	max_input_tokens	400000	272000	databricks/databricks-gpt-5-mini
databricks-gpt-5-mini	input_cost_per_mil_tokens	n/a	0.24997	databricks/databricks-gpt-5-mini
databricks-gpt-5-mini	output_cost_per_mil_tokens	n/a	1.99997	databricks/databricks-gpt-5-mini

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[chatgpt-codex-connector]

Set GPT-5 Databricks input limit to the real prompt cap

max_input_tokens is documented in this repo as an input-only limit, but these new Databricks GPT-5 entries set it to 400000 (the total context window) instead of the effective prompt cap used elsewhere for GPT-5-family models (272000). This overstates capacity by 128k tokens, so any caller that trusts model metadata can send prompts that pass local checks but are rejected upstream for token-limit overflow.

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