14_advanced

Advanced examples covering caching, compression, concurrency, events, retries, debugging, culture, and serialization.

Files

01_create_cultural_knowledge.py - Create cultural knowledge for agents.
02_use_cultural_knowledge_in_agent.py - Use cultural knowledge in an agent.
03_automatic_cultural_management.py - Automatic cultural context management.
04_manually_add_culture.py - Manually add culture to an agent.
advanced_compression.py - Advanced context compression strategies.
agent_serialization.py - Serialize and deserialize agents.
background_execution.py - Run agents in the background.
background_execution_structured.py - Background execution with structured output.
basic_agent_events.py - Listen to agent lifecycle events.
cache_model_response.py - Cache model responses.
cancel_run.py - Cancel a running agent.
compression_events.py - Events during context compression.
concurrent_execution.py - Run multiple agents concurrently.
custom_cancellation_manager.py - Custom cancellation logic.
custom_logging.py - Custom logging configuration.
debug.py - Enable debug mode for verbose output.
metrics.py - Access agent run metrics.
reasoning_agent_events.py - Events during reasoning steps.
retries.py - Retry configuration with exponential backoff.
tool_call_compression.py - Compress tool call results in context.

Load environment variables with direnv allow (including OPENAI_API_KEY).
Create the demo environment with ./scripts/demo_setup.sh, then run cookbooks with .venvs/demo/bin/python.
Some examples require optional local services (for example pgvector) or provider-specific API keys.