llm_fit_finder
Read-onlyIdempotent
Shortlist LLMs on facts, no ranking: cloud models with the features you need within a monthly budget, cheapest first; or local models that fit your VRAM, largest first, with the ollama command. A shortlist is not a choice: only your own cases show which model fits.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| mode | No | cloud (API models) or local (Ollama/self-hosted). Default: cloud | |
| top_n | No | Number of models to return (default: 5) | |
| vram_gb | No | GPU VRAM in GB (only for mode=local). Default: 16 | |
| features | No | Required features: vision, function_calling, json_mode, streaming, reasoning | |
| use_case | No | Only "reasoning" filters (requires the feature); chatbot | code | rag | summarization | classification | agents | multilingual rank nothing | |
| max_budget | No | Maximum monthly budget in USD (based on tokens_per_day) | |
| quantization | No | Quantization (only for mode=local): Q4_K_M | Q8_0 | FP16. Default: Q4_K_M | |
| tokens_per_day | No | Estimated daily token volume (default: 100000) |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| mode | No | ||
| note | No | ||
| order | No | ||
| results | No | ||
| vram_gb | No | ||
| use_case | No | ||
| prices_as_of | No | ||
| quantization | No | ||
| tokens_per_day | No | ||
| total_matching | No |