cookbook/08_learning/11_composition/README.md
The manual door. learning= is the automatic door: pass it and the framework
attaches context, instructions and tools at fixed positions. Don't pass it,
and the framework attaches nothing - you place the machine's three public
surfaces yourself, the way FileSystem composes. Read this folder next to
00_quickstart to see the two doors side by side.
basic.py: tools=[*learning.get_tools()] + instructions=[learning.instructions()].with_filesystem.py: LearningMachine + FileSystem + your own system prompt,
in one deliberate order.context_block.py: build_context() placed via additional_context - data
without tools.always_capture.py: post_hooks=[learning.capture_hook()] - ALWAYS-mode
extraction through the manual door (the escape hatch).| Surface | Returns | Place it in |
|---|---|---|
learning.get_tools(user_id=...) | the capture tools | tools=[...] |
learning.instructions() | the guidance block | instructions=[...] |
learning.build_context(user_id=..., message=...) | the recalled data | additional_context / a dependency |
The manual door injects nothing - give the machine its db and its model
explicitly. Every capture path is a model call: without one, update_profile
and update_user_memory return "No model provided", capture_hook's ALWAYS
extraction stores nothing, and entity memory keeps every stated fact instead of
retiring the ones it contradicts. get_tools() warns once when a store is in
that state.
The manual door is agentic by nature: with no learning= there is no
automatic post-run extraction, and the tools are the capture mechanism.
Passing the same machine to learning= AND placing its surfaces by hand
renders the blocks twice - the framework warns once when it detects that.