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.

2. Read current configuration

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

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

4. 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

5. 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."

6. Update both files Add new models at the TOP of the MODELS array in:

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

   Format:

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

7. 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”)