Examples¶
These examples combine Kedi features into reviewable programs. Read the focused language pages first when you need a complete rule rather than a guided scenario.
Choose an Example¶
| Example | Main concepts | Requires model calls |
|---|---|---|
| Structured Extraction | custom types, typed captures, native returns | yes |
| Tools and Approvals | Kedi and Python tools, risk, argument editing | yes |
| Agent Delegation | profiles, structured children, background lifecycle | yes |
| Evaluation and Optimization | datasets, metrics, > optimize:, GEPA |
yes |
| Modules and Packaging | exports, selective imports, package.kedi |
no |
| Complete Program | a compact end-to-end application | yes |
Runnable Conventions¶
Unless a page shows a directory tree, save its complete listing as
program.kedi and run:
The examples use groq:qwen/qwen3-32b to make backend selection explicit.
Replace it with a model configured for your environment. Provider credentials
are read by the selected adapter; never place API keys in a .kedi source file.
Syntax Used in Examples¶
<value>substitutes an existing value into prompt or return text.<python_expression>evaluates Python and renders its result as text.[field: Type]in a>>block asks the model for a typed output.[name: Type] = expressionperforms a deterministic assignment.=python_expression`` returns the native Python value.[text] << promptcaptures the raw model text; bare<<is not an operator.
These distinctions matter. Use a typed output when a model must infer a value, Python when the answer is deterministic, and a native Python return when the caller should receive an object rather than its string representation.
Verification¶
Documentation CI parser-checks every kedi fence. Package manifests are parsed
as package.kedi; a fence with a different required filename can declare
file=..., and an intentionally non-parseable fragment must declare
no-parse. This proves syntax and AST construction only. Imports, compilation,
provider schemas, credentials, and adapter capabilities still require their
documented file context and runtime tests against the production backend.