feat: use model dropdown for ChatXAI and add Grok models to catalog#6480
feat: use model dropdown for ChatXAI and add Grok models to catalog#6480PythonToGo wants to merge 2 commits into
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This pull request updates the ChatXAI component to load models dynamically via asyncOptions and adds a list of Grok models (including grok-4, grok-3, and grok-2 variants) to models.json. It also removes a duplicate Max Tokens parameter and increments the component version to 2.1. The reviewer recommends enabling freeSolo: true on the modelName parameter to maintain backward compatibility for custom model names and changing the default model to a more cost-effective option like grok-2 to prevent unexpected high costs for users.
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… default for ChatXAI - add freeSolo to the modelName input so users can still type custom or newly-released model names not yet in models.json (preserves the previous free-text behavior; matches the AzureChatOpenAI pattern) - change default model from grok-3 to grok-3-mini for a more cost-effective out-of-the-box choice
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Addressed both points from Geemini solved: added freeSolo: true so custom/newly-released model names can still be entered (matches AzureChatOpenAI), and changed the default to grok-3-mini — a current-generation, cost-effective option (preferred over the older grok-2). |
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Align the xAI Grok (ChatXAI) node with the standard chat model nodes by loading its model list from the central
models.jsoninstead of a free-text input.Changes
Modelinput from a free-textstringto anasyncOptionsdropdown (loadMethod: listModels), matching ChatAnthropic, ChatOpenAI, ChatCerebras, etc.chatXAIentry to thechatcatalog with the current Grok models (grok-4, grok-3, grok-3-mini, grok-2-vision-1212, grok-2-1212).Max Tokensinput that was defined twice in the node.2.0 → 2.1.Notes
modelNameis still stored/read as a string, so existing flows keep working. The version bump handles node upgrade detection.chatCerebrasentry) to avoid committing inaccurate cost values; they can be added in a follow-up once verified.