Official Technical Resources: OpenAI (page 17)
Official Technical Resources · OpenAI: 258 entries in total; this page lists entries 241–255.
Migrate a Legacy Codebase with Sandbox Agents
Build a sandboxed code-migration agent that splits a modernization campaign into isolated tasks and returns validated patch bundles.
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 · Model Deployment Options
Link last checked: 2026-09-24
Migrate from the Claude Agent SDK to the OpenAI Agents SDK
Learn how to migrate Claude Agent SDK applications to the OpenAI Agents SDK, including tool mapping, guardrails, handoffs, approvals, and sandbox boundaries.
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
Migrate from Whisper to GPT-Transcribe and GPT-Live-Transcribe
Migrate existing Whisper integrations to GPT-Transcribe and GPT-Live-Transcribe with before-and-after examples for file, streaming, and Realtime transcription.
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
Moving from OpenAI Evals to Promptfoo
Manually recreate OpenAI Evals evaluations in Promptfoo, then run and validate them.
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
Optimizing Customer Support Agents for Cost and Quality
Optimize agents on cost, latency and performance.
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
Realtime Eval Guide
Provides production constraints, validation methods or reusable implementation patterns not fully covered by the main guide; without it, correct practice would suffer.
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
Skills in OpenAI API
Cookbook for building skills with 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: Model Context Protocol (MCP) · Tool Calling
Link last checked: 2026-09-24
Using Goals in Codex
Use Goals in Codex to keep long-running work moving toward a persistent, evidence-checked outcome across turns.
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
Comparing Speech-to-Text Methods with the OpenAI API
Cookbook to compare speech-to-text methods and choose the right approach.
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
Developing Hallucination Guardrails
Cookbook to build hallucination guardrails with evals for support 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: AI Guardrails · Agent Identity, Authorization, and Secrets
Link last checked: 2026-09-24
Eval Driven System Design - From Prototype to Production
Cookbook for eval-driven design of a receipt parsing automation workflow.
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
Evals API Use-case - Responses Evaluation
Cookbook to evaluate new models against stored Responses API logs.
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
Exploring Model Graders for Reinforcement Fine-Tuning
Cookbook to use model graders for reinforcement fine-tuning in expert tasks.
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
Guide to Using the Responses API's MCP Tool
Cookbook to connect external services using the Responses API MCP tool.
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
Leveraging model distillation to fine-tune a model
Cookbook to distill a larger model into a smaller fine-tuned model.
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: Fine-tuning · Model Evaluation and Benchmarks
Link last checked: 2026-09-24