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Agentic AI Intermediate

Tool Execution & API Synthesizers

Synthesize dynamic API calls and isolate tool execution environments for autonomous agents.

Instructor Siddharth Verma
Duration 160 minutes (4 lessons)
Estimated Effort 2.5 hours total (1.25 hrs/week over 2 weeks)
Price USD 59.00
USD 59.00 Full Lifetime Access

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Course Overview

Construct safe tool execution gateways, auto-generate JSON schemas from OpenAPI specs, and implement strict sandboxing to isolate untrusted agent runtime tools.

What You Will Learn

Auto-generate typed Pydantic tool schemas from OpenAPI endpoints
Construct isolated execution sandboxes for untrusted agent code
Handle dynamic tool selection and parameter validation at runtime
Implement rate-limiting and circuit breakers for agent API calls
Log and audit every tool call with full request/response payloads

Tools & Technologies Used

Python 3.11 Pydantic v2 Docker FastAPI HTTPX

Structured Curriculum

2 Modules  ·  4 Lessons  ·  160 Minutes Total

Module 1

Module 1: Schema Generation & Tool Validation

2 lessons

Convert REST APIs into safe, schema-validated agent tools.

  • 📄

    Parsing OpenAPI Specs into Pydantic Models

    Dynamically inspect API specs and generate strict input validation models.

    Code Workshop 40 min
  • 📄

    Runtime Parameter Coercion & Error Catching

    Catch invalid agent arguments before executing external HTTP calls.

    Hands-on Exercise 40 min
Module 2

Module 2: Sandboxing & Resilient Call Execution

2 lessons

Isolate tool execution environments and handle API failures.

  • 📄

    Containerized Tool Execution Sandboxes

    Run Python code execution tools inside ephemeral, resource-constrained Docker containers.

    Security Lab 40 min
  • 📄

    Circuit Breakers & Retries for Agent Tools

    Prevent cascading failures when third-party APIs experience downtime.

    Resilience Engineering 40 min

Practical Project & Capstone Outcome

🚀 Capstone Project

Dynamic OpenAPI Tool Gateway for Autonomous Agents

Build an API gateway service that ingests OpenAPI specs, exposes validated tool functions to agents, and executes calls in isolated sandbox containers.

Prerequisites

  • Python backend development
  • Understanding of REST and OpenAPI specifications

Intended Audience

  • Backend Engineers integrating LLM agents with corporate APIs
  • DevOps Engineers securing automated tool environments

Instructor Information

S

Siddharth Verma

Course Author & Industry Expert

Siddharth Verma is a Senior API Infrastructure Architect who has built enterprise tool integration platforms for large-scale microservice environments.

Frequently Asked Questions

Do I need Docker installed for this course?

Yes, Docker Desktop or Docker Engine is recommended for the containerized sandboxing module.