Skip to main content

Terminal UI for generic-ml-cache: the gmlcache command. A thin inbound driver over generic-ml-cache-core -- reads config, provides the data source, maps commands onto the core library.

Project description

gmlcache

Detached ML Execution Cache — the terminal client

License: Apache 2.0 Status: Alpha

gmlcache runs, records, and replays detached ML workloads — record a real client (or API) call once, replay it forever by its content key, offline and byte-for-byte.

gmlcache: a miss records the real client call; the same command again is served instantly from cache, byte-identical

Install

pip install generic-ml-cache-cli

This installs the gmlcache command and pulls in the engine, generic-ml-cache-core.

Use

gmlcache run    --client claude --model sonnet --prompt "…"   # record on a miss, replay on a hit
gmlcache check  --client claude --model sonnet --prompt "…"   # is this exact call already cached?
gmlcache list                                                 # stored executions, grouped by client/model
gmlcache stats                                                # totals, hit counts, token usage & cost
gmlcache inspect <key>                                        # pretty-print one stored execution
gmlcache doctor | models | status | init                     # environment & configuration helpers

What it does

  • Records a real agentic CLI client (claude, codex, cursor-agent) or an API call — stdout, stderr, exit code, generated files, and token usage.
  • Replays an identical request instantly and offline, byte-for-byte — gmlcache adds nothing to the client's output, so it is a transparent drop-in.
  • Reports — list, group, inspect, and measure stored executions and their savings.

Built on a reusable engine

gmlcache is the terminal client — one inbound driver over the engine. The whole cache logic and every adapter live in generic-ml-cache-core, a stateless library. To embed the cache in your own application instead of driving it from a terminal, depend on the core and inject your own data source — you never reimplement the adapters.

Links

License

Apache-2.0 — see LICENSE and NOTICE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

generic_ml_cache_cli-0.5.0.tar.gz (37.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

generic_ml_cache_cli-0.5.0-py3-none-any.whl (26.4 kB view details)

Uploaded Python 3

File details

Details for the file generic_ml_cache_cli-0.5.0.tar.gz.

File metadata

  • Download URL: generic_ml_cache_cli-0.5.0.tar.gz
  • Upload date:
  • Size: 37.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for generic_ml_cache_cli-0.5.0.tar.gz
Algorithm Hash digest
SHA256 f8957b7cf4ed5b0832f3d4b68f8d5ccc20f1a4cdf9aa9b91805bc79312e2a9f4
MD5 747fd146de0dd1fe2709533d61c256a7
BLAKE2b-256 c517fd0dde2b154c3c703fef18fe821f4e35182a6339a2867a57376d80bbad2a

See more details on using hashes here.

Provenance

The following attestation bundles were made for generic_ml_cache_cli-0.5.0.tar.gz:

Publisher: release.yml on danielslobozian/generic-ml-cache

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file generic_ml_cache_cli-0.5.0-py3-none-any.whl.

File metadata

File hashes

Hashes for generic_ml_cache_cli-0.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 161fd912c4dbafda804bbee36f1d29b524606faa1696b171ea9af8e7b4856d39
MD5 ad465a7a6bd2674c634ae32efe0c092f
BLAKE2b-256 6139e885d74cc4d666037bb4ad0ae19a13e7998486a08a90c58f84dd3eb1d35a

See more details on using hashes here.

Provenance

The following attestation bundles were made for generic_ml_cache_cli-0.5.0-py3-none-any.whl:

Publisher: release.yml on danielslobozian/generic-ml-cache

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page