gpt-5-api

Route GPT-5 API calls across models via Responses API or Chat Completions.

1|4|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/The-Interdependency/a0 --skill gpt-5-api
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gpt-5-api
Source: https://github.com/The-Interdependency/a0/tree/main/.agents/skills/gpt-5-api
Command: npx skills add https://github.com/The-Interdependency/a0 --skill gpt-5-api

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

GPT-5 API usage across OpenAI models (gpt-5, gpt-5-mini, gpt-5-nano) can be manually configured and inconsistently integrated within multi-service stacks. This skill standardizes model selection, tool invocation, streaming outputs, and a0p integration patterns.

Core Features & Use Cases

  • Unified model selection and routing for GPT-5 variants (gpt-5, gpt-5-mini, gpt-5-nano) via Responses API or Chat Completions.
  • Tool calling, streaming, and structured outputs aligned with a0p's tool executor and energy provider routes.
  • Examples: wiring GPT-5 calls into python/services/tool_executor.py and energy-provider routing for production-grade agent pipelines.

Quick Start

Configure the a0p provider to use GPT-5 variants (gpt-5, gpt-5-mini, gpt-5-nano) via the Responses API or Chat Completions and run a sample inference to verify model selection, tool calls, and streaming outputs.

Frequently Asked Questions about gpt-5-api

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate GPT-5 API calls into a multi-service Python stack?

You can integrate GPT-5 API calls by routing model selection and inference through the OpenAI Responses API or Chat Completions within the a0p stack. This standardizes API patterns for production-grade agent pipelines.

What is the best way to route between gpt-5, gpt-5-mini, and gpt-5-nano models?

Routing between gpt-5, gpt-5-mini, and gpt-5-nano is handled via unified model selection logic configured for the OpenAI Responses API or Chat Completions. This ensures consistent model handling across your application.

Does this approach support tool calling and streaming outputs for GPT-5?

Yes, GPT-5 API integration supports tool calling and streaming outputs aligned with a0p's tool executor. It enables structured outputs for real-time inference across python services and energy-provider routing.

Can I use the Responses API for structured outputs in a0p-integrated inference?

Yes, you can use the OpenAI Responses API to generate structured outputs for a0p-integrated inference. This satisfies integration requirements for model handling and tool invocation within your agent pipelines.

When do I need to configure the a0p provider for GPT-5 variants?

You need to configure the a0p provider when wiring GPT-5 calls into python services like tool_executor.py and energy-provider routing. This is required for executing production-grade agent pipelines with model selection.