LLM API Suitability Analyzer

Public

API Details

The LLM API Suitability Analyzer is a specialized service designed to evaluate API descriptions and assess their compatibility with Large Language Model (LLM) implementations. This API analyzes the given description against a set of predefined criteria to determine if the proposed API is well-suited for execution purely through an LLM's capabilities. It considers factors such as the need for external data sources, statelessness, compliance with usage policies, knowledge cutoff limitations, response time feasibility, data privacy concerns, task clarity, and ethical considerations. The analyzer provides a comprehensive assessment, helping developers and architects make informed decisions about whether a proposed API concept is appropriate for LLM-backed implementation.

Request Schema

{
  "type": "object",
  "required": [
    "api_description"
  ],
  "properties": {
    "api_description": {
      "type": "string",
      "description": "A detailed description of the API to be analyzed for LLM suitability."
    }
  }
}

Response Schema

{
  "type": "object",
  "required": [
    "is_suitable",
    "assessment",
    "recommendations",
    "overall_score"
  ],
  "properties": {
    "assessment": {
      "type": "object",
      "properties": {
        "statelessness": {
          "type": "boolean",
          "description": "Whether each API call is independent and maintains no state across sessions."
        },
        "ethically_sound": {
          "type": "boolean",
          "description": "Whether the API aligns with ethical guidelines and legal standards."
        },
        "data_privacy_compliant": {
          "type": "boolean",
          "description": "Whether the API avoids processing sensitive personal or confidential information."
        },
        "feasible_response_time": {
          "type": "boolean",
          "description": "Whether the API can provide responses within acceptable timeframes."
        },
        "llm_only_functionality": {
          "type": "boolean",
          "description": "Whether the API's functionality can be achieved solely through LLM capabilities."
        },
        "no_external_data_access": {
          "type": "boolean",
          "description": "Whether the API requires no access to external data sources."
        },
        "within_knowledge_cutoff": {
          "type": "boolean",
          "description": "Whether the API's requirements fall within the LLM's knowledge cutoff date."
        },
        "clear_and_specific_tasks": {
          "type": "boolean",
          "description": "Whether the API's intended functionality is clear and well-defined."
        },
        "compliance_with_policies": {
          "type": "boolean",
          "description": "Whether the API adheres to acceptable use policies and ethical guidelines."
        },
        "self_contained_processing": {
          "type": "boolean",
          "description": "Whether the API's operations are fully self-contained within LLM reasoning abilities."
        }
      }
    },
    "is_suitable": {
      "type": "boolean",
      "description": "Indicates whether the API is suitable for LLM-backed implementation."
    },
    "overall_score": {
      "type": "number",
      "description": "A numerical score (0-100) indicating the overall suitability of the API for LLM implementation."
    },
    "recommendations": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Suggestions for improving the API's suitability for LLM implementation, if applicable."
    }
  }
}

API Metadata

650

Version

API Examples

Example Request

{
  "api_description": "An API that generates creative writing prompts for aspiring authors. The API should take a genre and optional theme as input, and return a unique, thought-provoking writing prompt that encourages creativity and helps writers overcome writer's block."
}

Example Response

{
  "assessment": {
    "statelessness": true,
    "ethically_sound": true,
    "data_privacy_compliant": true,
    "feasible_response_time": true,
    "llm_only_functionality": true,
    "no_external_data_access": true,
    "within_knowledge_cutoff": true,
    "clear_and_specific_tasks": true,
    "compliance_with_policies": true,
    "self_contained_processing": true
  },
  "is_suitable": true,
  "overall_score": 95,
  "recommendations": [
    "Consider adding an option for specifying the desired length or complexity of the writing prompt.",
    "Implement input validation to ensure the provided genre is recognized and supported."
  ]
}