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chore: add model to catalog #1719

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chore: add model to catalog #1719

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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 @@ -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
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Expand Up @@ -7813,6 +7813,16 @@
"fireworks"
]
},
"moonshotai-kimi-k3": {
"format": "openai",
"flavor": "chat",
"displayName": "moonshotai-kimi-k3",
Comment on lines +7817 to +7819

@chatgpt-codex-connector chatgpt-codex-connector Bot Nov 5, 2026

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P2 Badge Declare Kimi K3's multimodal and reasoning capabilities

When clients use the catalog to decide whether image inputs and reasoning controls are supported, this new alias exposes both capabilities as falsey because it omits multimodal and reasoning. Kimi K3 is a multimodal reasoning model, and the existing Fireworks, Bedrock, Databricks, and OpenRouter K3 entries all set both fields to true; add the same capability metadata here so choosing the Cerebras alias does not hide supported inputs and controls.

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"max_input_tokens": 8192,

@chatgpt-codex-connector chatgpt-codex-connector Bot Nov 5, 2026

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P2 Badge Correct Kimi K3's context limit

For Cerebras users sending prompts above 8,192 tokens, this catalog entry incorrectly reports that the request exceeds the model's input capacity. The other Kimi K3 entries in this catalog consistently declare a 1,000,000 or 1,048,576-token input limit, including the Fireworks entry at lines 7751-7761 and the OpenRouter entry at lines 27208-27218. Replace this apparent placeholder limit with the documented limit for the Cerebras deployment so catalog consumers do not reject or truncate valid long-context requests.

Useful? React with 👍 / 👎.

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