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AGENT INFRASTRUCTURE2024-10-157 min read

Automating Agent Infrastructure: OpenAPI to Function Calling

Zero-config tool generation for AI Agents

Business Impact

Connecting AI Agents to internal APIs usually takes weeks of manual coding. AgentBridge parses your existing Swagger/OpenAPI specs and auto-generates type-safe tools in milliseconds.

The Bottleneck in Agent Development

Building "The AI Brain" is easy. Connecting that brain to your company's hands (APIs) is hard.

Developers spend weeks manually rewriting API documentation into JSON schemas that LLMs can understand. If the API changes, the Agent breaks.

Enter AgentBridge: Infrastructure as Code for Agents

AgentBridge is an SDK that treats your OpenAPI (Swagger) spec as the source of truth. It instantly bridges your legacy REST APIs into the era of Agentic AI.

How It Works

You point the bridge at your API spec. We handle the rest.

import { AgentBridge } from 'agentbridge';

// 1. Initialize with your existing API docs
const bridge = new AgentBridge({
  spec: 'https://api.internal.com/openapi.json',
  auth: { type: 'bearer', token: process.env.API_KEY }
});

// 2. Auto-generate tools for OpenAI/Claude
const tools = bridge.getTools();

Type-Safe Tool Generation

The SDK parses complex OpenAPI schemas and converts them into optimized Function Definitions. It handles:

  • Parameter Validation: Ensuring the LLM doesn't send strings when the API needs integers.
  • Description Optimization: Rewriting dry API docs into prompts that guide the LLM.
  • Error Handling: Auto-retries for 429s and 500s.
// Example: The SDK automatically generates this schema
{
  name: "create_invoice",
  description: "Generates a PDF invoice. Required fields: client_id, amount.",
  parameters: {
    type: "object",
    properties: {
      client_id: { type: "string" },
      amount: { type: "number" }
    }
  }
}

Security & Sandboxing

For enterprise deployments, you cannot give an AI Agent god-mode access. AgentBridge provides a Sandboxed Execution Layer:

  • Runtime Auth: Credentials are injected at runtime, never stored in the model context.
  • Scope Limiting: Whitelist specific endpoints (e.g., allow GET /users but block DELETE /users).
  • Audit Logging: Every tool call is logged for compliance.

Integration with Sovereign AI

This tool is critical for our Private AI deployments. It allows us to connect local models (like Llama-3) to internal ERP systems without sending API schemas to third-party providers.

Getting Started

npm install agentbridge

View the Source: GitHub Repository

Technologies Used

TypeScriptOpenAPIFunction CallingAgentic WorkflowSDK Design