Add Model Descriptions

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:
   json

   { "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")