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fix: add Google models deep-research-preview-04-2026 and deep-research-max-preview-04-2026 #614

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fix: add Google models deep-research-preview-04-2026 and deep-research-max-preview-04-2026 #614

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2 changes: 2 additions & 0 deletions packages/proxy/schema/index.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -590,6 +590,8 @@ export const AvailableEndpointTypes: { [name: string]: ModelEndpointType[] } = {
"grok-2-1212": ["xAI"],
"grok-vision-beta": ["xAI"],
"grok-beta": ["xAI"],
"deep-research-preview-04-2026": ["google"],
"deep-research-max-preview-04-2026": ["google"],
"grok-4.20-0309-non-reasoning": ["xAI"],
"accounts/fireworks/models/deepseek-v4-flash": ["fireworks"],
"accounts/fireworks/models/glm-5": ["fireworks"],
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26 changes: 26 additions & 0 deletions packages/proxy/schema/model_list.json
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Expand Up @@ -11660,6 +11660,32 @@
"together"
]
},
"deep-research-preview-04-2026": {
"format": "google",
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@chatgpt-codex-connector chatgpt-codex-connector Bot May 21, 2026

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P1 Badge Route deep-research models through interactions API

These new catalog entries classify both deep-research IDs as normal format: "google" chat models, which makes the proxy send them to /models/{model}:generateContent / :streamGenerateContent in handleGoogleRequest (packages/proxy/src/proxy.ts, lines 3398-3415). For these model IDs, Google expects the Interactions API, so requests will fail at runtime (streaming and non-streaming) as soon as users select these models from the catalog. Either add model-specific Interactions routing before listing them, or keep them out of the supported model list until that path exists.

Useful? React with 👍 / 👎.

"flavor": "chat",
"multimodal": true,
"displayName": "Deep Research Preview (04-2026)",
"reasoning": true,
"experimental": true,
"max_input_tokens": 1048576,
"max_output_tokens": 65535,
"available_providers": [
"google"
]
},
"deep-research-max-preview-04-2026": {
"format": "google",
"flavor": "chat",
"multimodal": true,
"displayName": "Deep Research Max Preview (04-2026)",
"reasoning": true,
"experimental": true,
"max_input_tokens": 1048576,
"max_output_tokens": 65535,
"available_providers": [
"google"
]
},
"essentialai/rnj-1-instruct": {
"format": "openai",
"flavor": "chat",
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