JevKit core
Distribution: jevkit-runtime. Python import: jevkit_core.
The PyPI name jevkit-core belongs to a different project.
Shared provider definitions, backend configuration, HTTP transport, retries, deadlines, SQLite answer storage, in-flight requests, usage accounting, and answer provenance for jgrep, jsort, jlink, jselect, and jcol.
Each product remains a separate repository and package. This core imports none of them. Product adapters retain prompts, cache identities, reuse policies, budget policies, and public APIs.
Version 0.1.0 is a local development release, not a published PyPI release. Ordinary source edits in an editable core installation apply on the next run; already-running Python processes need to restart.
Development
Keep the six checkouts as siblings. Each consumer declares a normal versioned
dependency on jevkit-runtime and a uv development override:
[tool.uv.sources]
jevkit-runtime = { path = "../jevkit-core", editable = true }
Clone keltokhy/jevkit-core beside keltokhy/jgrep, keltokhy/jsort,
keltokhy/jlink, keltokhy/jselect, and keltokhy/jcol. All six repositories
remain independently versioned. For isolated development checkouts named
jgrep-jevkit and so on, use the --suffix=-jevkit option shown below.
From this directory:
python3 scripts/dev.py --suffix=-jevkit setup
python3 scripts/dev.py --suffix=-jevkit check
python3 scripts/dev.py --suffix=-jevkit wheel-check
python3 scripts/dev.py --suffix=-jevkit run jgrep -- --help
run uses the selected worktree's virtual environment and preserves the caller's
working directory. To use it with data, replace --help with the normal tool arguments.
For ordinary unsuffixed clones, omit --suffix. --repos-root selects their parent;
--tool jgrep limits setup and checks to one consumer.
setup installs dependencies and prepares the public tiktoken encoding files needed
by jselect. It performs no model inference. check runs each suite in its own
environment, strips model credentials, isolates configuration/cache directories,
and blocks outbound sockets while permitting local fake HTTP servers. It also proves
that every consumer calls the shared transport and imports this exact source tree,
and compares its fixture behavior to the commits in consumer-baselines.json.
Those commits must be present locally; use a full clone or fetch that history.
wheel-check builds the core and consumer wheels, installs each consumer alongside
the core wheel in a separate temporary environment, and exercises model fixtures and
CLI entry points outside the source trees. It also checks packaged browser/review assets
and jcol's installed process workflow. Dependency installation may use the package index;
inference checks stay offline.
Shared boundary
| Module | Responsibility |
|---|---|
backends.py |
Provider catalog, credential/configuration lookup, capabilities, selection |
transport.py |
HTTP requests, total deadlines, retries, JSON/error handling |
client.py |
Client lifecycle, shared in-flight requests, transport delegation, common answer validation |
cache.py |
SQLite answer storage and atomic provenance writes, key serialization |
usage.py |
Usage validation, reported/estimated costs, meter and report accumulation |
provenance.py |
Versioned answer origins with literal or unknown responder identity |
errors.py |
Shared failure types and structured request exhaustion |
DecisionClient is an adapter base, not a complete standalone scoring SDK. Product
adapters supply their own ask and _record contracts. jselect calls the shared
transport directly while retaining its relevance batching, score cache, and statistics.
Tool-specific meter fields remain in small subclasses.
backend_catalog selects provider definitions in each tool's priority order and
accepts model overrides. The four decision clients retain moving model aliases;
jselect keeps its pinned defaults. The catalog also defines two opt-in local providers; tools choose whether to expose them. Adding a catalog entry does not automatically enable it in every tool.
DecisionClient.share_request returns a task and an ownership flag. It invokes a
lazy request factory only for the owner, allowing jlink's cache-only callers to
join existing requests and jsort to charge only the initiating caller. It removes
finished, failed, and cancelled tasks from the registry. Awaiting, cancellation,
cache identity, and jcol's hedging policy remain with the adapters; sharing does
not introduce cancellation shielding or change how a hedge is charged.
Meter.record and record_usage accumulate the same call/token/cost fields for
the four clients and jselect's dictionary reports. Meter callbacks run after
totals change and before latency/model updates. Cost-source labels, jsort's
maximum call cost, jlink's provenance summaries, and model fallback remain local.
answer_provenance constructs the shared version-1 metadata for jsort and jlink;
missing responder identity stays unknown rather than inheriting a requested alias.
No product imports another product, and the core imports none of them. NumPy, pandas, SciPy, Polars, tokenizers, and browser dependencies stay in their owning tools. HTTP/2 is an optional core extra used by jcol.
Compatibility
- Existing prompts, CLI flags, supported backend choices, cache-key bytes, and saved project/scale/index formats are retained by the adapters.
- Existing
~/.config/jevand cache locations continue to work. No user cache or credential files were opened or migrated during development. - Legacy answer keys remain explicitly tool-owned. The shared
answer_keyfunction offers an opt-in, versioned provider/endpoint identity for future consumers; it never falls back to an ambiguous legacy entry. In particular, jlink's existing cross-backend cache behavior has not silently changed. - jcol checkpoints and jselect's score cache remain separate from shared answer storage.
- Budget meanings remain local: zero is unlimited for jgrep/jsort, cache-only for jlink, and rejected by jselect's semantic scorer. jcol retains its scheduler policy.
- The separate experimental jgrep branch retains joint-read caching and keyless local backends. The main-branch migration exposes its original three providers; unrelated experiments and benchmark graphics are not part of that migration.
- All clients now use a true total HTTP deadline. jlink and jcol previously passed the remaining time only to httpx's individual network waits.
- All five use validated usage parsing. Malformed, negative, nonfinite, or boolean usage values fail rather than corrupting accounting; jselect retains its fractional-token and missing-token estimate policy.
These last two points are deliberate hardening accompanying the extraction. The adapter tests remain the source of truth for each tool's external behavior.
Cross-repository validation
python3 scripts/dev.py --suffix=-jevkit check
For a before/after request, result, and metering comparison, use a consumer's
environment with scripts/probe_consumer.py TOOL --baseline-repo PATH --baseline-ref COMMIT.
The probe covers cold/warm caches, repeated requests, in-flight sharing, typed
jcol answers, and provider definitions/defaults. It verifies shared accounting
for all five, request sharing for the four decision clients, and provenance
construction for jsort/jlink. It is a focused compatibility fixture, not an
exhaustive equivalence proof.
The core CI tests Python 3.10 and 3.13. The downstream workflow tests the exact
core revision against all five consumer main branches in separate jobs, including
wheel installs. Pull-request and main-push runs are enabled with the repository
variable JEVKIT_CONSUMERS_READY=true after bootstrap. Manual dispatch can select
a common consumer branch/tag before then. All five consumer repositories are public.
Release sequence
The five packages retain independent releases. Their wheels contain a dependency
on jevkit-runtime>=0.1.0,<0.2.0, never a local source path; jcol requests the http2 extra.
Before publishing any migrated consumer to PyPI:
- Merge and tag the verified core as
v0.1.0. Consumer CI checks out this tag beside its own source, so tests do not depend on PyPI publication timing. - Configure a PyPI Trusted Publisher for
jevkit-runtime, repositorykeltokhy/jevkit-core, workflowpublish.yml, environmentpypi. Dispatch the publish workflow with the verified release tag. Publishing is explicit; creating a Git tag alone does not upload a package. - Release each consumer through its existing versioning/publishing process. Update its supported core range, lockfile, and CI core reference together on upgrades.
Until the runtime distribution is available on PyPI, source development uses the
sibling checkout. The cross-repository wheel checks install a freshly built core
wheel explicitly alongside each consumer. Existing published tool versions remain
independent of this migration. Once the runtime is published, standalone source
clones can use uv sync --no-sources; published wheels use ordinary dependencies.
Release files for jevkit-runtime 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| jevkit_runtime-0.1.0.tar.gz | 37.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jevkit_runtime-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 52.9 kB
Release files / jevkit_runtime-0.1.0.tar.gz
| Download URL | jevkit_runtime-0.1.0.tar.gz |
|---|---|
| Size | 37.2 kB |
| Tags | Source |
|
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Yes |
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Release files / jevkit_runtime-0.1.0-py3-none-any.whl
| Download URL | jevkit_runtime-0.1.0-py3-none-any.whl |
|---|---|
| Size | 15.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
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