Official Technical Resources: OpenAI (page 4)
Official Technical Resources · OpenAI: 258 entries in total; this page lists entries 46–60.
Integrations and observability
Learn how to integrate MCP into Agents SDK workflows and how to trace and debug runs.
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
IP allowlist
Configure organization- or project-level IP allowlists 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
Latency optimization
Improve latency across a wide variety of LLM-related 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 Deployment Options
Link last checked: 2026-09-24
Local shell
Enable agents to run commands in a local shell.
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
Manage permissions in the OpenAI platform
Learn how to use role-based access control to assign permissions, create custom roles, group users, and scope access across both the OpenAI API and dashboard.
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
Managing GPT-Live sessions
Configure GPT-Live sessions, provide history and context, build transcript and microphone controls, and handle long conversations, errors, and 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: Speech Recognition and Synthesis · Streaming Output
Link last checked: 2026-09-24
MCP servers
Use remote MCP servers or Secure MCP Tunnel to give models access to external tools.
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
Mid-turn steering
Steer a Responses API workflow over WebSockets, follow continuations, and handle queued input and tool results.
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
Migrate from Agent Builder
Learn how to export an Agent Builder workflow and continue with ChatGPT Workspace Agents or 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: AI Agent · Tool Calling
Link last checked: 2026-09-24
Migrate from prompt objects
Learn how to migrate from reusable prompt objects to versioned prompts in your application code.
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
Migrate to GPT-Live
Adapt your voice interface, backend tools, and application state to GPT-Live, with migration paths for Realtime and existing text agents.
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
Migrate to the Responses API
Value score 9/10 (knowledge importance 3/3): migrating to the Responses API changes how state, tools and output are handled; the main migration resource with broad applicability.
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
Misalignment monitoring
Understand misalignment monitoring coverage, handle blocked requests, and receive project safety alerts in your application.
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 · AI Red Teaming
Link last checked: 2026-09-24
Model selection
Find the right model for your use case
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 Selection and Cost · Reasoning Models
Link last checked: 2026-09-24
Moderation
Learn how to identify harmful content in text and images with OpenAI moderation 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: AI Guardrails · AI Red Teaming
Link last checked: 2026-09-24