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1 change: 1 addition & 0 deletions packages/proxy/schema/index.ts
Original file line number Diff line number Diff line change
Expand Up @@ -1382,6 +1382,7 @@ export const AvailableEndpointTypes: { [name: string]: ModelEndpointType[] } = {
"accounts/fireworks/models/gpt-oss-20b": ["fireworks"],
"accounts/fireworks/models/gpt-oss-safeguard-20b": ["fireworks"],
"gpt-oss-120b": ["cerebras", "openrouter"],
"moonshotai-kimi-k3": ["cerebras"],
"accounts/fireworks/models/qwen3-coder-480b-instruct-bf16": ["fireworks"],
"accounts/fireworks/models/kimi-k2-instruct-0905": ["fireworks"],
"accounts/fireworks/models/minimax-m3p1-flash": ["fireworks"],
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10 changes: 10 additions & 0 deletions packages/proxy/schema/model_list.json
Original file line number Diff line number Diff line change
Expand Up @@ -7813,6 +7813,16 @@
"fireworks"
]
},
"moonshotai-kimi-k3": {
"format": "openai",
"flavor": "chat",
"displayName": "moonshotai-kimi-k3",
Comment on lines +7816 to +7819

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P2 Badge Link the new alias to its Kimi K3 companions

When callers select this new Cerebras slug but only have credentials for an existing Kimi K3 provider such as Fireworks, Databricks, Bedrock, or OpenRouter, getModelEndpointTypes() returns only cerebras because it expands provider choices solely through fallback_models (schema/index.ts:1590-1628). The catalog already contains those provider-specific Kimi K3 IDs, and the add-model workflow explicitly requires unioning companion IDs into the target's fallback_models (.github/workflows/add-model.yaml:256-264); add those links here so this alias participates in provider selection rather than becoming an isolated duplicate.

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"max_input_tokens": 8192,
"max_output_tokens": 4096,
"available_providers": [
"cerebras"
]
},
"qwen-3.8-27b": {
"format": "openai",
"flavor": "chat",
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