# Examples Check out a variety of sample implementations of the SDK in the examples section of the [repo](https://github.com/openai/openai-agents-python/tree/main/examples). The examples are organized into several categories that demonstrate different patterns and capabilities. ## Categories - **[agent_patterns](https://github.com/openai/openai-agents-python/tree/main/examples/agent_patterns):** Examples in this category illustrate common agent design patterns, such as - Deterministic workflows - Agents as tools - Agents as tools with streaming events (`examples/agent_patterns/agents_as_tools_streaming.py`) - Agents as tools with structured input parameters (`examples/agent_patterns/agents_as_tools_structured.py`) - Parallel agent execution - Conditional tool usage - Forcing tool use with different behaviors (`examples/agent_patterns/forcing_tool_use.py`) - Input/output guardrails - LLM as a judge - Routing - Streaming guardrails - Human-in-the-loop with tool approval and state serialization (`examples/agent_patterns/human_in_the_loop.py`) - Human-in-the-loop with streaming (`examples/agent_patterns/human_in_the_loop_stream.py`) - Custom rejection messages for approval flows (`examples/agent_patterns/human_in_the_loop_custom_rejection.py`) - **[basic](https://github.com/openai/openai-agents-python/tree/main/examples/basic):** These examples showcase foundational capabilities of the SDK, such as - Hello world examples (Default model, GPT-5, open-weight model) - Agent lifecycle management - Run hooks and agent hooks lifecycle example (`examples/basic/lifecycle_example.py`) - Dynamic system prompts - Basic tool usage (`examples/basic/tools.py`) - Tool input/output guardrails (`examples/basic/tool_guardrails.py`) - Image tool output (`examples/basic/image_tool_output.py`) - Streaming outputs (text, items, function call args) - Responses websocket transport with a shared session helper across turns (`examples/basic/stream_ws.py`) - Prompt templates - File handling (local and remote, images and PDFs) - Usage tracking - Runner-managed retry settings (`examples/basic/retry.py`) - Runner-managed retries through a third-party adapter (`examples/basic/retry_litellm.py`) - Non-strict output types - Previous response ID usage - **[customer_service](https://github.com/openai/openai-agents-python/tree/main/examples/customer_service):** Example customer service system for an airline. - **[financial_research_agent](https://github.com/openai/openai-agents-python/tree/main/examples/financial_research_agent):** A financial research agent that demonstrates structured research workflows with agents and tools for financial data analysis. - **[handoffs](https://github.com/openai/openai-agents-python/tree/main/examples/handoffs):** Practical examples of agent handoffs with message filtering, including: - Message filter example (`examples/handoffs/message_filter.py`) - Message filter with streaming (`examples/handoffs/message_filter_streaming.py`) - **[hosted_mcp](https://github.com/openai/openai-agents-python/tree/main/examples/hosted_mcp):** Examples demonstrating how to use hosted MCP (Model Context Protocol) with the OpenAI Responses API, including: - Simple hosted MCP without approval (`examples/hosted_mcp/simple.py`) - MCP connectors such as Google Calendar (`examples/hosted_mcp/connectors.py`) - Human-in-the-loop with interruption-based approvals (`examples/hosted_mcp/human_in_the_loop.py`) - On-approval callback for MCP tool calls (`examples/hosted_mcp/on_approval.py`) - **[mcp](https://github.com/openai/openai-agents-python/tree/main/examples/mcp):** Learn how to build agents with MCP (Model Context Protocol), including: - Filesystem examples - Git examples - MCP prompt server examples - SSE (Server-Sent Events) examples - SSE remote server connection (`examples/mcp/sse_remote_example`) - Streamable HTTP examples - Streamable HTTP remote connection (`examples/mcp/streamable_http_remote_example`) - Custom HTTP client factory for Streamable HTTP (`examples/mcp/streamablehttp_custom_client_example`) - Prefetching all MCP tools with `MCPUtil.get_all_function_tools` (`examples/mcp/get_all_mcp_tools_example`) - MCPServerManager with FastAPI (`examples/mcp/manager_example`) - MCP tool filtering (`examples/mcp/tool_filter_example`) - **[memory](https://github.com/openai/openai-agents-python/tree/main/examples/memory):** Examples of different memory implementations for agents, including: - SQLite session storage - Advanced SQLite session storage - Redis session storage - SQLAlchemy session storage - Dapr state store session storage - Encrypted session storage - OpenAI Conversations session storage - Responses compaction session storage - Stateless Responses compaction with `ModelSettings(store=False)` (`examples/memory/compaction_session_stateless_example.py`) - File-backed session storage (`examples/memory/file_session.py`) - File-backed session with human-in-the-loop (`examples/memory/file_hitl_example.py`) - SQLite in-memory session with human-in-the-loop (`examples/memory/memory_session_hitl_example.py`) - OpenAI Conversations session with human-in-the-loop (`examples/memory/openai_session_hitl_example.py`) - HITL approval/rejection scenario across sessions (`examples/memory/hitl_session_scenario.py`) - **[model_providers](https://github.com/openai/openai-agents-python/tree/main/examples/model_providers):** Explore how to use non-OpenAI models with the SDK, including custom providers and third-party adapters. - **[realtime](https://github.com/openai/openai-agents-python/tree/main/examples/realtime):** Examples showing how to build real-time experiences using the SDK, including: - Web application patterns with structured text and image messages - Command-line audio loops and playback handling - Twilio Media Streams integration over WebSocket - Twilio SIP integration using Realtime Calls API attach flows - **[reasoning_content](https://github.com/openai/openai-agents-python/tree/main/examples/reasoning_content):** Examples demonstrating how to work with reasoning content, including: - Reasoning content with the Runner API, streaming and non-streaming (`examples/reasoning_content/runner_example.py`) - Reasoning content with OSS models via OpenRouter (`examples/reasoning_content/gpt_oss_stream.py`) - Basic reasoning content example (`examples/reasoning_content/main.py`) - **[research_bot](https://github.com/openai/openai-agents-python/tree/main/examples/research_bot):** Simple deep research clone that demonstrates complex multi-agent research workflows. - **[tools](https://github.com/openai/openai-agents-python/tree/main/examples/tools):** Learn how to implement OAI hosted tools and experimental Codex tooling such as: - Web search and web search with filters - File search - Code interpreter - Apply patch tool with file editing and approval (`examples/tools/apply_patch.py`) - Shell tool execution with approval callbacks (`examples/tools/shell.py`) - Shell tool with human-in-the-loop interruption-based approvals (`examples/tools/shell_human_in_the_loop.py`) - Hosted container shell with inline skills (`examples/tools/container_shell_inline_skill.py`) - Hosted container shell with skill references (`examples/tools/container_shell_skill_reference.py`) - Local shell with local skills (`examples/tools/local_shell_skill.py`) - Tool search with namespaces and deferred tools (`examples/tools/tool_search.py`) - Computer use - Image generation - Experimental Codex tool workflows (`examples/tools/codex.py`) - Experimental Codex same-thread workflows (`examples/tools/codex_same_thread.py`) - **[voice](https://github.com/openai/openai-agents-python/tree/main/examples/voice):** See examples of voice agents, using our TTS and STT models, including streamed voice examples.