Official Technical Resources: OpenAI (page 5)
Official Technical Resources · OpenAI: 258 entries in total; this page lists entries 61–75.
Multi-agent
Let an agent delegate work to independent subagents.
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 Agent · Tool Calling
Link last checked: 2026-09-24
Multi-agent
Enable Responses API Multi-agent, handle client-side HTTP and WebSocket flows, and read Multi-agent output items.
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 Agent · Tool Calling
Link last checked: 2026-09-24
Mutual TLS
Configure Mutual TLS trust, certificate verification, CEL filters, rotation, and troubleshooting for OpenAI API requests.
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 Identity, Authorization, and Secrets · Privacy and Data Compliance
Link last checked: 2026-09-24
Observability and usage
Inspect live progress, completed work, and recorded token usage.
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 Agent · Tool Calling
Link last checked: 2026-09-24
OpenAI-hosted sandboxes
Run code and create downloadable files without managing compute.
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: Code Execution and Sandboxing · AI Coding Tools
Link last checked: 2026-09-24
Optimizing LLM Accuracy
Learn strategies to enhance the accuracy of large language models using techniques like prompt engineering, retrieval-augmented generation, and fine-tuning.
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 · Fine-tuning
Link last checked: 2026-09-24
Orchestration and handoffs
Learn how to orchestrate multiple agents with handoffs and agents-as-tools in the OpenAI 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: AI Agent · Tool Calling
Link last checked: 2026-09-24
Plugins
Package skills and MCP configuration for use across sessions.
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 Agent · Tool Calling
Link last checked: 2026-09-24
Predicted Outputs
Understand how to reduce latency for model responses where much of the response is known ahead of time.
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 Deployment Options
Link last checked: 2026-09-24
Private Link
Configure Azure Private Link endpoints, DNS, health checks, and cross-region routing for the OpenAI 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: Agent Identity, Authorization, and Secrets · Privacy and Data Compliance
Link last checked: 2026-09-24
Production best practices
Explore best practices for transitioning your AI projects from prototype to production, including scaling, security, and cost management.
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 Deployment Options
Link last checked: 2026-09-24
Programmatic Tool Calling
Configure Programmatic Tool Calling, control which tools programs can invoke, and resume programs after client-owned function calls.
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 Agent · Tool Calling
Link last checked: 2026-09-24
Prompt caching
Learn how prompt caching reduces latency and cost for long prompts in OpenAI's 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: Prompt Engineering · Structured Outputs
Link last checked: 2026-09-24
Prompting
Learn how to create, optimize, and maintain prompts with OpenAI models.
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: Prompt Engineering · Structured Outputs
Link last checked: 2026-09-24
Prompting Realtime models
Design and test prompts for Realtime voice models.
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