02_input_output

Examples for input formats, validation schemas, streaming, and structured outputs.

Files

expected_output.py - Guide agent responses with an expected output hint.
input_formats.py - Demonstrates input formats.
input_schema.py - Demonstrates input schema validation.
output_model.py - Return structured data using output_model with a Pydantic model.
output_schema.py - Demonstrates output schema.
parser_model.py - Demonstrates parser model for structured extraction.
response_as_variable.py - Capture agent response as a variable.
save_to_file.py - Save agent responses to a file automatically.
streaming.py - Stream agent responses token by token.
followup_suggestions.py - Get a response with AI-generated follow-up suggestions.

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.