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fix: add Google models gemini-2.5-computer-use-preview-10-2025 #538

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fix: add Google models gemini-2.5-computer-use-preview-10-2025 #538

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1 change: 1 addition & 0 deletions packages/proxy/schema/index.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -607,6 +607,7 @@ export const AvailableEndpointTypes: { [name: string]: ModelEndpointType[] } = {
"grok-2-1212": ["xAI"],
"grok-vision-beta": ["xAI"],
"grok-beta": ["xAI"],
"gemini-2.5-computer-use-preview-10-2025": ["google"],
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@chatgpt-codex-connector chatgpt-codex-connector Bot May 7, 2026

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P2 Badge Register the Vertex publisher model too

For Vertex credentials, fetchOpenAI only hands Google models to the Gemini path when the requested model starts with publishers/google/models/ (checked packages/proxy/src/proxy.ts), and the existing Vertex Gemini entries are registered under that publisher-prefixed name. Google Cloud's Vertex Computer Use docs list gemini-2.5-computer-use-preview-10-2025, so with only the short google mapping here, Vertex users cannot route this newly added model through the supported path; add the corresponding publishers/google/models/gemini-2.5-computer-use-preview-10-2025 model/list entry and ['vertex'] endpoint mapping.

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"amazon.nova-premier-v1:0": ["bedrock"],
"amazon.nova-2-lite-v1:0": ["bedrock"],
"magistral-medium-2509": ["mistral"],
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13 changes: 13 additions & 0 deletions packages/proxy/schema/model_list.json
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Expand Up @@ -6714,6 +6714,19 @@
"vertex"
]
},
"gemini-2.5-computer-use-preview-10-2025": {
"format": "google",
"flavor": "chat",
"multimodal": true,
"input_cost_per_mil_tokens": 1.25,
"output_cost_per_mil_tokens": 10,
"displayName": "Gemini 2.5 Computer Use Preview (10-2025)",
"max_input_tokens": 128000,
"max_output_tokens": 64000,
"available_providers": [
"google"
]
},
"grok-4-0709": {
"format": "openai",
"flavor": "chat",
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