enable image input for vision-capable prime inference models - #261
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…ision-support # Conflicts: # packages/ai/scripts/generate-models.ts
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…ne-image-attachments fix: send Slack image attachments inline to LLM
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…tellect-ai#261) * enable image input for vision-capable prime inference models * update prime inference test for vision-capable default model
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Low Risk
Metadata-only change to declared input modalities; main risk is a wrong
visionflag advertising image support for a model that does not accept images.Overview
Prime Inference models were all registered as text-only, so attached images were rejected even for Claude, GPT-5, Grok, and other vision backends. Because Prime Inference’s models API does not expose modality data, vision is now curated via an optional
visionflag onPRIME_INFERENCE_MODEL_METADATA, andcreatePrimeInferenceModelsetsinputto["text", "image"]when that flag is set (otherwise["text"]).Flagged models include Anthropic Claude variants, OpenAI GPT-5.x entries, Grok, Kimi K2.7 Code, and Qwen3-VL; text-only models such as MiniMax M3 stay unchanged.
models.generated.tsand the Prime Inference model test are updated to match.Reviewed by Cursor Bugbot for commit fc5a65d. Bugbot is set up for automated code reviews on this repo. Configure here.
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Enable image input for vision-capable Prime Inference models
Adds a
visionflag toPrimeInferenceModelMetadatain generate-models.ts and sets it totruefor several Anthropic Claude, OpenAI GPT 5.x, Kimi, Qwen, and Grok model variants. ThecreatePrimeInferenceModelfactory now setsinputto["text", "image"]for vision-flagged models instead of["text"]only. The generated models.generated.ts reflects these updated input declarations.Macroscope summarized fc5a65d.