Official Technical Resources: OpenAI (page 16)
Official Technical Resources · OpenAI: 258 entries in total; this page lists entries 226–240.
Build a Speaker-Aware Meeting Intelligence Pipeline with Audio Diarization
Build a production-style reference pipeline that turns recorded audio into speaker-labeled transcripts, summaries, decisions, risks, and follow-up actions.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only OpenAI's own implementation and claims. Recheck the page status and version before use.
Related concepts: Speech Recognition and Synthesis · Streaming Output
Link last checked: 2026-09-24
Build an Agent Improvement Loop with Traces, Evals, and Codex
Build a trace-driven improvement loop that turns human and model feedback into Promptfoo evals, HALO-ranked harness changes, and a Codex handoff.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only OpenAI's own implementation and claims. Recheck the page status and version before use.
Related concepts: Model Evaluation and Benchmarks · LLM Application Evaluation
Link last checked: 2026-09-24
Build an SRE agent for incident response
Investigate incidents in Slack using service telemetry, GitHub, AWS, and past incident reports, with human review before recovery.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only OpenAI's own implementation and claims. Recheck the page status and version before use.
Related concepts: AI Guardrails · Agent Identity, Authorization, and Secrets
Link last checked: 2026-09-24
Build iterative repair loops with Codex
A Codex cookbook showing how to use review, repair, and validation loops to improve technical documentation artifacts.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only OpenAI's own implementation and claims. Recheck the page status and version before use.
Related concepts: AI Coding Tools · Code Generation / AI Coding
Link last checked: 2026-09-24
Building Reliable Agents with Memory and Compaction
Cookbook for building evidence review agent that uses compaction and memory from Agents SDK.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only OpenAI's own implementation and claims. Recheck the page status and version before use.
Related concepts: Agent Memory · Context Compaction
Link last checked: 2026-09-24
Combining security scanners with the Agents SDK
Use the OpenAI Agents SDK to route scanner findings to specialist agents, check source evidence, and prepare a Codex prompt for human review.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only OpenAI's own implementation and claims. Recheck the page status and version before use.
Related concepts: AI Guardrails · Agent Identity, Authorization, and Secrets
Link last checked: 2026-09-24
Context Engineering - Short-Term Memory Management with Sessions
Kept as an engineering recipe for its implementation value but placed in the supplementary tier by default; core behavior and long-term contracts follow the main guides and formal references.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only OpenAI's own implementation and claims. Recheck the page status and version before use.
Related concepts: Agent Memory · Context Compaction
Link last checked: 2026-09-24
Context Engineering for Personalization - State Management with Long-Term Memory Notes
Cookbook to build personalized agents with long-term memory state using the Agents SDK.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only OpenAI's own implementation and claims. Recheck the page status and version before use.
Related concepts: Agent Memory · Context Compaction
Link last checked: 2026-09-24
Controlled Agentic Commerce with AgentCore Payments
Build a controlled agentic-commerce workflow with the OpenAI Agents SDK, x402, application-owned payment authority, deterministic validation, and an optional gated Amazon Bedrock AgentCore Payments testnet path.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only OpenAI's own implementation and claims. Recheck the page status and version before use.
Related concepts: AI Guardrails · Agent Identity, Authorization, and Secrets
Link last checked: 2026-09-24
Evaluating Grounded Spatial Reasoning with GPT-5.5
Build a spec-first floorplan layout workflow with vision, structured outputs, and deterministic spatial evals.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only OpenAI's own implementation and claims. Recheck the page status and version before use.
Related concepts: Model Evaluation and Benchmarks · LLM Application Evaluation
Link last checked: 2026-09-24
GPT-Live evaluation guide
Evaluate full-duplex voice agents with controlled requests, recorded audio, and simulated conversations, measuring interaction quality and verified task outcomes.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only OpenAI's own implementation and claims. Recheck the page status and version before use.
Related concepts: Model Evaluation and Benchmarks · LLM Application Evaluation
Link last checked: 2026-09-24
How to use the Usage API and Cost API to monitor your OpenAI usage
Cookbook to fetch and visualize Completions Usage and cost data via API.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only OpenAI's own implementation and claims. Recheck the page status and version before use.
Related concepts: Workflow Orchestration · Model Deployment Options
Link last checked: 2026-09-24
Image Evals for Image Generation and Editing Use Cases
Cookbook to build image evals for image generation and editing use cases.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only OpenAI's own implementation and claims. Recheck the page status and version before use.
Related concepts: Model Evaluation and Benchmarks · LLM Application Evaluation
Link last checked: 2026-09-24
Iterating Development Workflows with Codex
Build and improve Codex development workflows using repository harnesses, phased implementation plans, approval gates, reusable skills, and evidence-backed retrospectives.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only OpenAI's own implementation and claims. Recheck the page status and version before use.
Related concepts: Model Context Protocol (MCP) · Tool Calling
Link last checked: 2026-09-24
Macro Evals for Agentic Systems
A cookbook showing how to evaluate multi-agent systems by clustering trace-level eval signals into recurring behavior patterns and drilling into high-impact patterns.
Evidence use: For understanding, implementation, selection, reliability, security or migration decisions.
Limitations: Directly evidences only OpenAI's own implementation and claims. Recheck the page status and version before use.
Related concepts: Model Evaluation and Benchmarks · LLM Application Evaluation
Link last checked: 2026-09-24