openai-cookbook-docs
上下文 / 记忆 / 压缩（卷 10 直接可用）
课时
- Articles
- Build a per-run spending controller with the Responses API
- Build your own content fact checker with gpt-oss-120B, Cerebras, and Parallel
- Building workspace agents in ChatGPT to complete repeatable, end-to-end work
- Fine-tuning with gpt-oss and Hugging Face Transformers
- How to handle the raw chain of thought in gpt-oss
- How to run gpt-oss locally with Ollama
- How to run gpt-oss with Transformers
- OpenAI Harmony Response Format
- User guide for gpt-oss-safeguard
- Verifying gpt-oss implementations
- Examples
- Agents API applications and sandbox integrations
- Agents SDK Deployment Manager
- AML Analysis with the Agents SDK on Amazon Bedrock
- Automating Code Quality and Security Fixes with Codex CLI on GitLab
- Build a Speaker-Aware Meeting Intelligence Pipeline with Audio Diarization
- Build an Agent Improvement Loop with Traces, Evals, and Codex
- Build iterative repair loops with Codex
- Build Live Translation Apps with gpt-realtime-translate
- Building Reliable Agents with Memory and Compaction
- ChatGPT Enterprise Prompting Guide
- Codex Prompting Guide
- Combining security scanners with the Agents SDK
- Computer Use Agents in Daytona Sandboxes
- Context Engineering - Short-Term Memory Management with Sessions
- Context Engineering for Personalization - State Management with Long-Term Memory Notes
- Controlled Agentic Commerce with AgentCore Payments
- Enabling Long-Term Agent Memory with Oracle AI Agent Memory
- Evaluating Grounded Spatial Reasoning with GPT-5.5
- Generate Transparent Image Assets for Campaigns and Presentations
- Getting Started with OpenAI Models on Amazon Bedrock
- Getting the Most out of GPT-5.4 for Vision and Document Understanding
- GPT Image Generation Models Prompting Guide
- GPT-5 Prompt Migration and Improvement Using the New Optimizer
- GPT-Live evaluation guide
- How to use the Usage API and Cost API to monitor your OpenAI usage
- Image Evals for Image Generation and Editing Use Cases
- Iterating Development Workflows with Codex
- Macro Evals for Agentic Systems
- Manage SharePoint site access with the ChatGPT Admin API
- Migrate a Legacy Codebase with Sandbox Agents
- Migrate from the Claude Agent SDK to the OpenAI Agents SDK
- Migrate from Whisper to GPT-Transcribe and GPT-Live-Transcribe
- Modernizing your Codebase with Codex
- Moving from OpenAI Evals to Promptfoo
- Prompt Personalities
- Realtime Eval Guide
- SchemaFlow: Agentic Database Change Impact Analysis, SQL Generation, and Eval Guardrails
- Temporal Agents with Knowledge Graphs
- Trigger a Workspace Agent from the API
- Using Goals in Codex
- articles
- 示例
- agents_sdk
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- computer_use_with_daytona
- audio
- speaker_aware_meeting_intelligence
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- speaker_aware_meeting_intelligence
- multimodal
- partners
- aws
- macro_evals_for_agentic_systems
- schemaflow_design_guide
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- temporal_agents_with_knowledge_graphs
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- 2. How to Use This Cookbook
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- 4. Multi-Step Retrieval Over a Knowledge Graph
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- 5. Prototype to Production
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- agents_sdk
开始学习 → Building workspace agents in ChatGPT to complete repeatable, end-to-end work