Topic
GPT-5 Agentic Capabilities
13 posts on gpt-5 agentic capabilities — part of ai agents & automation on the n4n AI blog.
Setting up GPT-5 agents with the OpenAI Agents SDK
Hands-on tutorial for building GPT-5 agents with the OpenAI Agents SDK. Covers setup, tool use, handoffs, and running multi-agent workflows. Step-by-step code included.
GPT-5's tool-calling improvements for multi-step agents
Practical guide to gpt-5 tool calling for multi-step agents: strict schemas, parallel dispatch, external state, error recovery, and common pitfalls.
GPT-5's context window for long-running agents
Practical guide to building long-running agents with GPT-5's context window: manage state, compact context, route fallback, and avoid common pitfalls.
GPT-5 reasoning effort settings for agentic tasks
Practical guide to tuning gpt-5 reasoning effort for agentic workflows—mapping subtasks, dynamic routing, fallback, and cost-latency tradeoffs.
GPT-5 pricing for agentic workloads: a cost breakdown
A practical cost breakdown of GPT-5 pricing for agents: why token loops dominate spend and how caching, routing, and compaction cut agent bills.
GPT-5-mini vs GPT-5 for lightweight agent tasks
Practical head-to-head comparison of GPT-5-mini vs GPT-5 for lightweight agent tasks across cost, latency, tool use, and clear verdicts by use case.
GPT-5 function calling: structured outputs for agents
Practical how-to for gpt-5 function calling structured outputs: build reliable agent tool use with schema enforcement, runnable Python examples, and tests.
GPT-5 agent failure modes and how to handle them
Practical guide to GPT-5 agent failure modes: context overflow, tool contract breaks, loop traps, and engineering patterns to harden production agentic systems.
Routing GPT-5 agent calls through n4n.ai for reliability
Implement gpt-5 n4n.ai routing to keep agents resilient: a how-to for OpenAI-compatible fallback, cache control, and usage metering.
GPT-5 vs GPT-4o for autonomous agent workflows
Practical head-to-head comparison of GPT-5 and GPT-4o for building autonomous agents: capabilities, cost, latency, ergonomics, and which to use.
GPT-5 vs Claude Opus 4.8 for agent orchestration
Engineering comparison of gpt-5 vs claude opus 4.8 for agent orchestration: capabilities, cost, latency, ergonomics, ecosystem, limits, and which to use.
GPT-5 agentic capabilities: what's new for developers
Analyzes GPT-5 agentic capabilities for developers: native tool use, stateful loops, tradeoffs, and engineering patterns to ship reliable agents.
Building a GPT-5 agent with the Responses API
Step-by-step tutorial for building a stateful GPT-5 agent with OpenAI's Responses API, including tool use, conversation threading, and runnable Python code.
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