Add Model Descriptions

Add descriptions for new models available in the HuggingFace router to chat-ui's prod.yaml and dev.yaml.

Workflow

1. Fetch models from router

WebFetch https://router.huggingface.co/v1/models

Extract all model IDs from the response.

1. Read current configuration

• Read chart/env/prod.yaml
• Extract model IDs from the MODELS JSON array in envVars

1. Identify missing models

Compare router models with prod.yaml. Missing = in router but not in prod.yaml.

1. Research each missing model

For each missing model, search the web for its specifications:

• Model architecture (dense, MoE, parameters)
• Key capabilities (coding, reasoning, vision, multilingual, etc.)
• Target use cases

1. Write descriptions

Match existing style:

• 8-12 words
• Sentence fragments (no period needed)
• No articles ("a", "the") unless necessary
• Focus on: architecture, specialization, key capability

Examples:

• "Flagship GLM MoE for coding, reasoning, and agentic tool use."
• "MoE agent model with multilingual coding and fast outputs."
• "Vision-language Qwen for documents, GUI agents, and visual reasoning."
• "Mobile agent for multilingual Android device automation."

1. Update both files

Add new models at the TOP of the MODELS array in:

• chart/env/prod.yaml
• chart/env/dev.yaml

Format:

json { "id": "org/model-name", "description": "Description here." }

1. Commit changes

git add chart/env/prod.yaml chart/env/dev.yaml git commit -m "feat: add descriptions for N new models from router"

Notes

• FP8 variants: describe as "FP8 base model] for efficient inference with key capability]"
• Vision models: mention "vision-language" and key visual tasks
• Agent models: mention "agent" and automation capabilities
• Regional models: mention language focus (e.g., "European multilingual", "Southeast Asian")