Intelligent APIs with AI Assistants

AI API integrations. We evaluate LLM actions, prompt parsing, and semantic routing gateways.

VP
SHIVAM ITCS
·14 June 2023·6 min read·1 views

Technical Overview & Strategic Context

Traditional APIs return static data structures. Intelligent APIs integrate LLM reasoning and semantic routing, parsing parameters dynamically and executing tasks autonomously.

Architectural Principle: Expose tool parameters using JSON schemas, allowing LLMs to parse and call APIs dynamically.

Core Concepts & Architectural Blueprint

Semantic API gateways intercept requests. If the endpoint is unspecified, the gateway uses vector searches to route requests based on intent, executing dynamic transactions.

Performance & Capability Comparison

API ArchitectureREST API GatewaysSemantic Routing GatewaysAPI Capability
Request ParsingStatic path mapping (/api/users)Natural language intent query parsingAdapts to user parameters
Data mappingFixed JSON response schemasDynamic data compilation via modelCustomizes payload outputs

Implementation & Code Pattern

To structure tools for dynamic API queries, follow these steps:

  • Define tool parameters using structured schemas.
  • Configure semantic routers to parse requests.
  • Validate API outputs using JSON schema checkers.
jsoncode
// AI tool declaration metadata schema (2023)
{
  "name": "get_student_roster",
  "description": "Retrieve student details by ID",
  "parameters": {
    "type": "object",
    "properties": {
      "studentId": { "type": "number" }
    }
  }
}

Operational Governance & Future Outlook

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VP
Vijay Paliwal
Founder, SHIVAM ITCS · 18+ years enterprise & AI engineering
MCA · Ex-HiveGPT USA · Ex-Social27 Seattle
Intelligent APIs with AI Assistants | SHIVAM ITCS Blog | SHIVAM ITCS