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IA-QA — 152 QA & Dev Tools for AI Agents

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

NameRequiredDescriptionDefault
modeNocloud (API models) or local (Ollama/self-hosted). Default: cloud
top_nNoNumber of models to return (default: 5)
vram_gbNoGPU VRAM in GB (only for mode=local). Default: 16
featuresNoRequired features: vision, function_calling, json_mode, streaming, reasoning
use_caseNoOnly "reasoning" filters (requires the feature); chatbot | code | rag | summarization | classification | agents | multilingual rank nothing
max_budgetNoMaximum monthly budget in USD (based on tokens_per_day)
quantizationNoQuantization (only for mode=local): Q4_K_M | Q8_0 | FP16. Default: Q4_K_M
tokens_per_dayNoEstimated daily token volume (default: 100000)

Output Schema

NameRequiredDescriptionDefault
modeNo
noteNo
orderNo
resultsNo
vram_gbNo
use_caseNo
prices_as_ofNo
quantizationNo
tokens_per_dayNo
total_matchingNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed6 schema fields changed
    • changedInput schema / properties / top_n / description
      Previous value: -"Number of recommendations to return (default: 5)"New value: +"Number of models to return (default: 5)"
    • changedInput schema / properties / use_case / description
      Previous value: -"Primary use case: chatbot | code | rag | summarization | classification | reasoning | agents | multilingual"New value: +"Only \"reasoning\" filters (requires the feature); chatbot | code | rag | summarization | classification | agents | multilingual rank nothing"
    • addedOutput schema / properties / note
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / order
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / prices_as_of
      Added value: +{}
    • removedOutput schema / properties / score
      Removed value: -{
      -  "type": "number"
      -}
  2. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "features": [
      +      "vision"
      +    ],
      +    "top_n": 5,
      +    "use_case": "chatbot"
      +  }
      +]
  3. Changed1 schema field changed
    • addedOutput schema / properties
      Added value: +{
      +  "mode": {
      +    "type": "string"
      +  },
      +  "quantization": {},
      +  "results": {
      +    "type": "array"
      +  },
      +  "score": {
      +    "type": "number"
      +  },
      +  "tokens_per_day": {},
      +  "total_matching": {
      +    "type": "number"
      +  },
      +  "use_case": {},
      +  "vram_gb": {}
      +}
  4. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "additionalProperties": true,
      +  "type": "object"
      +}
  5. First observed

TDQS

Score is being calculated.

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