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* refactor AgentExecutor, add output_response flag for switching on or off workflow output for each agent. * introduce add_agent * make default agent's streaming to false * address comments * fix test * add is_streaming to RunnerContext and WorkflowContext * fix add_agent return * fix tests * address comments * resolve conflict * update to address comments * fix
d01d9afb92
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2025-10-07 16:11:40 +00:00
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Python Samples
This directory contains samples demonstrating the capabilities of Microsoft Agent Framework for Python.
Getting Started
For step-by-step tutorials and examples, see the getting_started directory:
- Agents - Learn how to create and use agents with various providers (Azure OpenAI, OpenAI, Azure AI, etc.)
- Workflows - Explore workflow patterns for orchestrating multiple agents
- Chat Client - Examples of using chat clients directly
- Threads - Manage conversation threads and chat message stores
- Context Providers - Integrate with context providers like Mem0 and Redis
- Middleware - Add middleware for logging, telemetry, and custom processing
- Multimodal Input - Handle images and other multimodal inputs
- Observability - Add tracing and monitoring to your agents
Sample Guidelines
For information on creating new samples, see SAMPLE_GUIDELINES.md.