Closes the gap that made optional inputs unusable: rendering rule 5.1(4) made any unresolved placeholder an error while inputs had no `default`, so an input marked `required: false` and referenced from the template failed every render in which the caller omitted it — including the spec's own section 4 example. Section 10 already carried the derivation mechanism (`requirement: generate`, resolution deliberately undefined), so a derived default needed a binding rather than a new concept: the input's default names a declared prompt dependency. Spec: - 5.1 rewritten as "Resolution and rendering". Resolution may be non-deterministic and must report what it derived; rendering is deterministic and must not derive. A tool that handles only supplied values and static defaults is stated to be conforming. - 6.1 (new) covers both declaration forms. Reference form is preferred, with the reason stated — an inline prompt is anonymous, so unversioned, unprovenanced and un-evaluable — and validators should warn when a published package derives inline. - A derived default may declare a static fallback `value`. Without one the input stays unresolved, which is an error; derivation never silently yields empty content. - 4, 10, 18 (rules 11-13), 19 (two new MUST NOTs), 21 updated accordingly. Reference CLI: - New `resolve` verb reporting the origin of every value. - `Resolution` dataclass and `resolve_inputs`; `resolve_values` kept as a wrapper so existing callers are unaffected. - `render` refuses with a specific error naming underivable inputs rather than substituting empty text. - Tests 3 -> 11. Example package lifecycle re-verified end to end. INTENT.md is unchanged: splitting resolve from render preserves success criterion 4 (deterministic rendering) as written. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Bjefh8NUiEiahN4JLwoSKM Assistant: claude-code Assistant-Model: opus Assistant-Process: 388925@bnt-lap001 Assistant-Session: 3507023f-e0fd-4a1e-9d90-a0d4217d1502
2.7 KiB
canned-prompts seed
Collect, reuse and share prompts and prompt templates.
This bundle contains a first project seed for canned-prompts:
INTENT.md— project mission, boundaries, principles, and success criteria.CannedPromptFormat-v0.1.md— experimental package-format specification.reference/— deliberately small Python CLI implementing the basic lifecycle.examples/pqrst-estimate/— a real package that can be used to exercise the implementation.
Try the reference implementation
cd reference
python -m venv .venv
. .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -r requirements.txt
# add the included example to your local catalog
python canned_prompts.py add ../examples/pqrst-estimate
# find and inspect it
python canned_prompts.py search pqrst
python canned_prompts.py show practice/pqrst-estimate
# see how each input and parameter resolves, and where the value came from
python canned_prompts.py resolve practice/pqrst-estimate \
--set session_summary="Implemented feature X, read unfamiliar code, added tests."
# render it
python canned_prompts.py render practice/pqrst-estimate \
--set session_summary="Implemented feature X, read unfamiliar code, added tests."
# publish it to the local filesystem registry
python canned_prompts.py publish ../examples/pqrst-estimate
# remove the local catalog if you want to simulate another machine, then install
python canned_prompts.py install practice/pqrst-estimate --version 0.1.0
By default the reference tool uses:
~/.canned-prompts/catalog
~/.canned-prompts/registry
Override them with:
CANNED_PROMPTS_HOME=/some/path
or command-level --catalog / --registry options.
Resolution vs rendering
The format separates the two steps (CannedPromptFormat-v0.1.md § 5.1).
Resolution decides a value for every input and parameter and may be
non-deterministic; rendering substitutes those values and always is. An input
may declare a default that is either a static value or a derived one — a
prompt that a capable consumer may run to produce the value, declared without
naming any resolver or model.
This reference tool never calls a model, so it resolves supplied values and static defaults only, and reports anything it cannot derive instead of rendering a prompt with a silent hole in it.
Deliberate limitations
This seed has no hosted registry, model execution, authentication, network access, dependency resolver, or social features. publish and install operate on a filesystem registry so that the package semantics can be tested before infrastructure is built around them.