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OpenAI Agents SDK（Python）

介绍

快速开始

config

文档

agents

沙盒智能体

快速入门

概念

沙箱客户端

智能体记忆

实时智能体

quickstart

guide

语音智能体

quickstart

pipeline

tracing

模型

tools

guardrails

running_agents

streaming

multi_agent

handoffs

results

human_in_the_loop

会话

index

sqlalchemy_session

advanced_sqlite_session

encrypted_session

context

usage

mcp

tracing

测试

visualization

repl

release

课程首页

Codex Execution Plans (ExecPlans)

.agents

SDK Maintainer References

Agent Definition and Run Context

Conversation State Ownership

Function and Output Schema

Local MCP Server Lifecycle

Model and Provider Boundaries

Realtime Session Lifecycle

Realtime Tracing Architecture

Run Item Lifecycle

Runner Lifecycle

RunState Schema and Resume Boundary

Sandbox Runtime Boundary

Session Persistence

Tool Execution Lifecycle

Tool Identity and Routing

Tracing Lifecycle

Voice Pipeline Lifecycle

skills

code-change-verification

Code Change Verification

docs-sync

Docs Sync

references

Doc Coverage Checklist

examples-run-analysis

Examples Run Analysis

final-release-review

Final Release Review

references

Release Diff Review Checklist

implementation-final-review

Implementation Final Review

references

High-risk independent review

Independent Reviewer Brief

implementation-kickoff

Implementation Kickoff

implementation-strategy

Implementation Strategy

maintainer-review

Maintainer Review

references

Maintainer Evaluation Framework

openai-knowledge

OpenAI Knowledge

pr-draft-summary

PR Draft Summary

release-candidate-prep

Release Candidate Preparation

runtime-behavior-probe

Runtime Behavior Probe

references

Common Error Cases

OpenAI Runtime Patterns

Reporting Format

Validation Matrix

sensitive-logging-audit

Sensitive Logging Audit

references

Python sensitive logging validation

test-coverage-improver

Test Coverage Improver

.github

Publishing a release

scripts

Repository skill tests

OpenAI Agents SDK

Agents

Configuration

Context management

Examples

Guardrails

Handoffs

Human-in-the-loop

Model context protocol (MCP)

Agent orchestration

Quickstart

Release process/changelog

REPL utility

Results

Running agents

Quickstart

Streaming

Testing

Tools

Tracing

Usage

Agent visualization

Models

LiteLLM

realtime

Realtime agents guide

Quickstart

Realtime transport

Agents module

Memory

Sandbox

extensions

Handoff prompt

LiteLLM Models

experimental

codex

hosted_multi_agent

memory

AdvancedSQLiteSession

Async Sqlite Session

DaprSession

EncryptedSession

MongoDBSession

RedisSession

SQLAlchemySession

memory

OpenAI Conversations Session

OpenAI Responses Compaction Session

models

OpenAI Agent Registration

OpenAI Chat Completions model

Reasoning Content Replay

realtime

Realtime Configuration

Realtime Events

run_internal

Model Provider Lifecycle

sandbox

Workspace entries

Manifest

Permissions

Runtime Agent Preparation

SandboxAgent

SnapshotSpec

capabilities

Capabilities

Capability

Compaction

Filesystem

Memory

Shell

Skills

tools

sandboxes

Docker sandbox

Unix local sandbox

session

Base Sandbox Session

Manifest Application

Sandbox clients

SandboxSessionState

SandboxSession

voice

models

OpenAI Model Provider

OpenAIVoiceModelProvider

sandbox

Sandbox clients

Concepts

Agent memory

Sessions

Advanced SQLite sessions

Encrypted sessions

SQLAlchemy sessions

voice

Pipelines and workflows

Quickstart

Tracing

zh

代码示例

会话

models

LiteLLM

realtime

实时传输

Running the example suite

Common agentic patterns

Financial Research Agent Example

mcp

MCP Filesystem Example

MCP getallmcptools Example

MCP Git Example

MCP Manager Example (FastAPI)

MCP Prompt Server Example

MCP SSE Example

MCP SSE Remote Example

MCP Streamable HTTP Remote Example

Custom HTTP Client Factory Example

MCP Streamable HTTP Example

MCP Tool Filter Example

Model provider examples

realtime

Realtime Demo App

Twilio SIP Realtime Example

Realtime Twilio Integration

Research bot

sample_outputs

Comprehensive Guide on Best Surfboards for Beginners: Transitioning, Features, and Budget Options

OpenAI Agents SDK（Python）

Sandbox examples

文档

Credit Note Example Repo

Task

skills

credit-note-fixer

Cloud Sandbox Extension Examples

daytona

NASA Spending Text-to-SQL Agent

Temporal Sandbox Agent

Healthcare support

policies

Auth Review Queue Routing

Billing After Consult FAQ

Blue Cross Benefits Reference

Blue Cross PPO Prior Authorization

Blue Cross Referral Rules

Commercial Eligibility Checklist

Human Escalation Policy

Knee Surgery Medical Necessity

Orthopedic Imaging Policy

Outbound Fax Packet Requirements

Patient Messaging Guidelines

Referral Pending SOP

Scheduling Hold Policy

skills

prior-auth-packet-builder

tutorials

Dataroom metric extract

Dataroom Q&A

Repo code review

Sandbox resume

Vision UI reproduction

skills

tools

skills

csv-workbench

CSV Playbook

CSV Workbench

voice

Streamed voice demo

Packaged integration tests

源码

agents

Realtime

sandbox

instructions

How you work

memory

prompts

Tests

fixtures

RunState compatibility corpus

Realtime session test groups

出处与许可

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课程库›智能体工程›OpenAI Agents SDK（Python）

OpenAI Agents SDK（Python）产品仓库·英文原文 ↗原件 ↓仓库 ↗

`Unix local sandbox`

::: agents.sandbox.sandboxes.unix_local options: members: - UnixLocalSandboxClient - UnixLocalSandboxClientOptions - UnixLocalSandboxSession - UnixLocalSandboxSessionState

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AI 原生开放教材·GitHub 仓库·@faruheaisha·署名与许可编排与站点代码 MIT · 课程内容著作权归各上游作者