add-model-descriptions

# 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: ```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")