02-agents/

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Directories ¶

Path	Synopsis
a2a
as_function_tools command
polling_for_task_completion command
protocol_selection command
stream_reconnection command
agents
message-injection command
step01_running command
step02_multiturn_conversation command
step03_using_function_tools command
step04_using_function_tools_with_approvals command
step05_structured_output command
step06_persisted_conversation command
step07_3rdparty_session_storage command
step08_observability command
step09_dependency_injection command This sample shows how to use dependency injection to register an Agent and use it from a hosted service with a user input chat loop.	This sample shows how to use dependency injection to register an Agent and use it from a hosted service with a user input chat loop.
step10_as_mcp_tool command
step11_using_images command
step12_as_function_tool command
step13_middleware command This sample shows how to write custom agent middleware.	This sample shows how to write custom agent middleware.
step13_using_audio_and_files command
step17_additional_ai_context command
step18_compaction_pipeline command
step19_loop_reinvocation command
step21_shell_with_environment command
step22_foundry_memory command
step23_planning_with_todos command
agui
step01_getting_started/client command
step01_getting_started/server command
step02_backend_tools/client command
step02_backend_tools/server command
step03_frontend_tools/client command
step03_frontend_tools/server command
step04_human_in_loop/client command
step04_human_in_loop/server command
step05_state_management/client command
step05_state_management/server command
harness
step01_loop command
step03_agentmode command
mcp
agent_mcp_server command
local_stdio_mcp command
providers
a2a command
anthrophic command
anthrophic/thinking command
azure/ai_project command
azure/foundry_model command
azure/openai_chat_completion command
azure/openai_responses command
azure/openai_responses_background command This sample demonstrates long-running agent operations using the OpenAI Responses API "background" option.	This sample demonstrates long-running agent operations using the OpenAI Responses API "background" option.
foundry/step01_basic command
foundry/step02_1_multiturn command
foundry/step02_2_multiturn_with_server_conversations command
foundry/step03_function_tools command
foundry/step04_function_tools_with_approvals command
foundry/step05_structured_output command
foundry/step06_persisted_conversations command
foundry/step07_observability command
foundry/step09_mcp_client_as_tools command
foundry/step10_images command
foundry/step11_as_function_tool command
foundry/step12_middleware command
foundry/step13_plugins command
foundry/step14_code_interpreter command
foundry/step21_web_search command
foundry/step23_local_mcp command
gemini command
gemini/thinking command
github-copilot command
openai/chat_completion command
openai/responses command
openai/step01_running command
openai/step02_reasoning command
openai/step03_create_from_chat_client command
openai/step04_create_from_openai_response_client command
openai/step05_conversation command
openai/step06_code_interpreter_file_download command This sample shows how to download files generated by Code Interpreter using the OpenAI Containers API.	This sample shows how to download files generated by Code Interpreter using the OpenAI Containers API.
skills
internal/skillhelpers
step01_file_based_skills command
step02_code_defined_skills command
step03_mixed_skills command
step04_skills_auto_approval command

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