Results for “agent-tool-boundary”

Add governance, safety, and trust controls to AI agent systems with policy enforcement, intent classification, and audit trails.

Apply least-privilege tool allowlisting, identity binding, and human-in-the-loop controls for agent tool calls.

Creates or modifies OpenAI Agents SDK tools with Zod parameters, caching, metrics, and agent registration, following established patterns and best practices.

Scaffold and develop AI agents using OpenAI Agents SDK patterns, covering agent definition, tools, guardrails, handoffs, context, RAG pipelines, streaming, API routes, testing, and debugging.

Creates or modifies agent tools for OpenAI Agents SDK, covering search, analysis, API integration, and database query patterns with caching and metrics.

Design tool descriptions, schemas, and response formats that agents can reliably route on, including MCP server design, tool-set consolidation, and naming conventions.

Defines an agent's identity, personality, voice, and boundaries to create authentic, non-generic assistants.

Adds input and output guardrails to an agent, including validation, content filtering, domain scoping, and rate limiting, with TypeScript examples and wiring instructions.

Orchestrates three frontier models to debate a question and synthesizes their best insights into a single superior answer.

Design multi-agent system architectures, generate tool schemas for Anthropic and OpenAI formats, and evaluate execution logs for cost, latency, and failure bottlenecks.

Scaffolds a new OpenAI Agents SDK agent with instructions, tools, API route, and bridge wiring, following existing project conventions.

Compares coding agents head-to-head on reproducible tasks, measuring pass rate, cost, time, and consistency.