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Remote caching

magus's build cache is content-addressed: a target's output is keyed by the SHA-256 of its inputs, so an unchanged target replays its previous output instead of rebuilding. That cache lives on disk (.magus/ in the workspace root) and is local to one machine.

A remote cache shares those artifacts across CI runners, machine to machine. When the local cache misses, magus asks the remote provider for the artifact; if found, it downloads and replays it instead of building. After a genuine build, magus uploads the result so the next machine gets a hit. A cold CI runner can replay work another runner (or main) already did.

The remote cache is CI-only infrastructure, not for developer laptops, and magus is built to keep it that way. A cache hit replays another machine's build outputs into your tree, so whoever can write an artifact a consumer trusts can inject arbitrary files into that consumer's build. That is a supply-chain trust boundary, so every remote artifact must be cryptographically signed by a trusted key, and wiring a provider without a trust set is refused (see Signing is required below). Neither a developer, a fork PR, nor anyone holding raw bucket credentials can publish an artifact that any machine will replay.

magus itself knows nothing about S3 or GitHub. A provider is a spell that declares no operations and instead exports the cache contract: three functions the remote-cache subsystem detects by name and invokes:

function when does
enabled(target, cb) once, before fetch/push is the provider active here? (gates everything)
get_artifact(target, cb) on a local cache miss download the artifact into dest; true = hit
put_artifact(target, cb) after building a missed artifact upload the artifact at src; true = stored

(A fourth, prune, evicts artifacts by retention policy.) These are not operations a target composes; they are the contract the remote-cache subsystem calls. Everything provider-specific (auth, transport) stays in the spell, in pure Buzz. See spells and engines.

Wiring a provider

Wiring has two parts: the magusfile binds the provider (a spell, i.e. code), and magus.yaml declares the trust set that secures it (cache.remote.trusted_keys, i.e. data). The split is deliberate. A trust anchor is declarative config, not build logic, so it lives in YAML where it can't branch or compute itself. The spell self-gates via enabled(), so the provider is a no-op anywhere it isn't configured (e.g. a developer machine with no credentials):

// magusfile.buzz
import "spells/github/actions" as github;
magus\cache.remote(github);
# magus.yaml
cache:
  remote:
    trusted_keys:
      - "<base64 Ed25519 public key>"

magus\cache.remote(handle) records the provider; magus resolves and drives it during a run. Bind one provider. A non-empty cache.remote.trusted_keys is required alongside it: a remote provider with no trust set fails at load (see the next section). Generate a key with magus config cache key generate.

GitHub Actions Cache

The github-actions spell (spells/github/actions) stores artifacts in the GitHub Actions Cache, over its v2 (Twirp) API.

import "spells/github/actions" as github;
magus\cache.remote(github);

It reads everything it needs from the runner environment, all provided automatically inside a GitHub Actions job:

variable provided by purpose
GITHUB_ACTIONS the runner gates the provider ("true" only in a job)
ACTIONS_RESULTS_URL the runner cache service (v2) base URL
ACTIONS_RUNTIME_TOKEN the runner bearer token for the cache service

There is no transport to configure: bind it, and it activates in CI and stays dormant locally. You still declare a trust set and set the signing secret as for any provider (see Signing is required). GitHub evicts old artifacts on its own (7-day idle / repo size cap).

S3, MinIO, Cloudflare R2, Backblaze B2

The aws-s3 spell (spells/aws/s3-cache) stores artifacts in any S3-compatible bucket, signing every request with AWS Signature V4.

import "spells/aws/s3-cache" as s3;
magus\cache.remote(s3);

Configuration comes from the environment (standard AWS variables plus a bucket):

variable required purpose
MAGUS_S3_BUCKET yes bucket name (gates the provider)
AWS_ACCESS_KEY_ID yes access key (gates the provider)
AWS_SECRET_ACCESS_KEY yes secret key
AWS_SESSION_TOKEN no for temporary credentials
AWS_REGION no region (falls back to AWS_DEFAULT_REGION, then us-east-1)
MAGUS_S3_ENDPOINT no base URL incl. scheme, no trailing slash; set for MinIO/R2/B2 (default https://s3.<region>.amazonaws.com)

Unlike the GitHub provider, S3 has no automatic eviction. Prune it on a schedule:

magus config cache prune --remote   # evict by the configured retention policy

Signing is required (trust model)

magus does not trust the store. Every remote artifact carries a detached Ed25519 signature over its manifest (which commits to the cache key and to every output blob's content hash). On import, an artifact is replayed only if it is signed by a key in the configured trust set; an unsigned, untrusted, or tampered artifact is rejected and the build falls back to a normal local build. The trust is asymmetric:

  • The public verification keys live in magus.yaml (cache.remote.trusted_keys). They are not secret. Any machine (CI, a laptop, a fork PR) can verify and so still get cache hits.
  • The secret signing seed lives only in trusted CI, as the MAGUS_CACHE_SIGNING_KEY environment secret. Only a holder of the seed can produce a signature. A machine without it (every machine but trusted CI) cannot publish an artifact others will replay; magus won't even attempt the upload.

Because verification happens on the consumer, this holds even against an attacker who bypasses magus entirely and writes poisoned bytes straight into the bucket: with no valid signature, every consumer rejects them.

Wiring a remote provider without a trust set is a hard error, on every machine, so a shared cache can never come up unverified. Upgrading an existing remote cache: add cache.remote.trusted_keys to magus.yaml and set MAGUS_CACHE_SIGNING_KEY on trusted pushes, or the run fails at load with a message saying so.

Insecure mode (no signing)

cache.remote.insecure: true (env MAGUS_CACHE_REMOTE_INSECURE) is the explicit opt-out: the provider runs with no trust set and no signing key, importing and producing unsigned artifacts. This removes the supply-chain protection above (any writer the store trusts can inject files into a consumer's build), so it is only appropriate for a trusted single-repo CI (no fork PRs writing the store) or for validating a provider before minting keys. It is off by default and must be set deliberately; prefer a signed trust set for anything shared. Setting it is mutually exclusive with trusted_keys in effect: when insecure is true, verification is skipped regardless of any keys.

Generating and trusting a key

magus config cache key generate    # mint a keypair; prints the seed, pubkey, keyid

It prints, once and never to disk: the secret seed (set it as the MAGUS_CACHE_SIGNING_KEY CI secret), the public key, and a ready-to-paste cache.remote.trusted_keys YAML snippet. Add the public key to magus.yaml.

To hand the seed to a secret store without reading it, ask for that one field. The record is {keyid, seed, pubkey}, and -o template projects the -o json names, so it is {{.seed}} and not {{.Seed}}:

magus config cache key generate -o template='{{.seed}}'   # the seed alone on stdout

Everything else moves to stderr in that mode, so a pipe receives the secret and nothing else. --tee is rejected here rather than honored: it mirrors structured output into a file, and a signing key must not come to rest on disk.

magus config cache key id <pubkey>   # show the keyid + pubkey for a key
magus config cache key id            # same, derived from MAGUS_CACHE_SIGNING_KEY (seed never printed)

Rotation: add the new public key to trusted_keys alongside the old one, switch CI's MAGUS_CACHE_SIGNING_KEY to the new seed, then drop the old key once no live artifact was signed by it. Multiple trusted keys are supported for exactly this overlap.

Set the signing secret in CI

# in your trusted-push workflow only (e.g. push to main) - never exposed to fork PRs
env:
  MAGUS_CACHE_SIGNING_KEY: ${{ secrets.MAGUS_CACHE_SIGNING_KEY }}

Runbook: turning it on for a GitHub repository

Four steps, in this order. The cache stays off until the last one, so a half-finished setup degrades to local-only rather than breaking a build.

1 and 2. Mint the key and store it. Pick one of two custody models. Both keep the seed off disk; they differ in whether you ever see it.

Hand it straight to the secret store, unseen. -o template='{{.seed}}' puts the seed alone on stdout - no banner, and no trailing newline, which matters because gh secret set stores stdin verbatim and one stray byte becomes part of the secret:

set -o pipefail
magus config cache key generate -o template='{{.seed}}' | gh secret set MAGUS_CACHE_SIGNING_KEY

set -o pipefail is not optional here. A pipeline reports only its LAST command's status, so without it a failed keygen still looks successful and gh stores whatever it read - possibly nothing. The keyid and public key are printed to stderr, so you still see the half you need for step 3.

See it once, then file it. Use this when the seed belongs in your own password manager as well. gh secret set reads stdin when given no --body, so the value stays out of your shell history and out of the process list - paste at the prompt, Ctrl-D:

magus config cache key generate
gh secret set MAGUS_CACHE_SIGNING_KEY

Never pass a seed as --body or with echo ... |; both put it in history. --tee is refused on key generate for the same reason - it writes structured output to a file, and a signing key must not come to rest on disk.

The web UI is equally fine for either model: Settings -> Secrets and variables -> Actions -> Secrets -> New repository secret. A paste into a password field is not in your shell history either.

3. Publish the public key. It is not secret, so an argument is fine here. It goes in two places - magus.yaml is what every consumer verifies against, and the repository variable is what the workflow hands to MAGUS_CACHE_REMOTE_TRUSTED_KEYS:

gh variable set MAGUS_CACHE_PUBLIC_KEY --body "<the public key from step 1>"

Then add the same value under cache.remote.trusted_keys in magus.yaml and commit it.

4. Confirm what CI signs with. This derives the public identity from the seed and never echoes the seed itself:

magus config cache key id

Run it locally with MAGUS_CACHE_SIGNING_KEY exported, or in a CI step, and check the pubkey it prints matches the one in magus.yaml.

Do not set MAGUS_CACHE_REMOTE_INSECURE to enable the cache. It disables verification, and because a workspace commonly gates its cache.remote(...) wiring on either variable, setting it can be the only thing turning the cache on - a setup that looks configured, ships a trusted_keys block, and verifies nothing. Let the trust set be the switch.

Read-only on untrusted refs (defense in depth)

Signatures are the primary defense; opening the cache read-only on untrusted refs is a complementary one. Even though an unsigned PR push could never replay anywhere, you can also stop a PR from writing the store at all (replay hits, never publish) by gating mutability on the event. The same flag suppresses the remote put_artifact upload:

# in your CI workflow env
MAGUS_CACHE_WRITE_ENABLED: ${{ github.event_name != 'pull_request' }}

MAGUS_CACHE_WRITE_ENABLED=false (config key cache.write.enabled) opens the cache read-only; the default is mutable. See the supply-chain note in the README.

Observability

When telemetry is enabled, magus instruments every remote get/put automatically, with no provider changes, since the wrapping happens around the RemoteBackend interface, not inside the spell. You get the magus.cache.remote.{hits,misses,errors,duration,io.size} metrics (hit-rate, latency, bytes moved) plus a magus.cache.remote.get/.put span per operation, so a slow fetch or upload shows up inline in the build trace. Remote metrics live under their own .remote prefix and are never folded into the local magus.cache.* counters. See the telemetry reference for the full instrument list.

Writing your own provider

Any store reachable over HTTP can be a provider. Implement the three functions (enabled/get_artifact/put_artifact) in a spell: read inputs from the cb(io) callback (io.hash, io.dest/io.src), use the http byte primitives (http\download/upload_chunked/byteSize) and crypto for request signing (e.g. AWS SigV4 via crypto\hmacSha256), and return the boolean result. The two shipped providers are worked examples; start from whichever transport is closest.

A provider is a pure byte mover: artifact signing and verification happen in magus's core, not in the spell. A provider never sees, produces, or checks a cache-artifact signature, so it cannot weaken or bypass the trust model and it gets signing for free. It only moves the opaque bytes.

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Glossary

Workspace

The magus root directory that owns a set of projects and shared config; the unit magus operates over. See workspace.

Project

A directory magus recognizes as a unit of work (it has a magusfile); the unit of caching, scheduling, and dependency tracking. See workspace.

Magusfile

The magusfile.buzz that declares a project's targets (as export funs) and binds its spells. See targets.

Target

A named operation (build, test, ...) you invoke with magus run <target>; it may compose a spell's tool-native operations and depend on other targets. See targets.

Op

A single tool-native command a target composes (long form: operation); the middle of the work hierarchy (Spell to Op to Target). See operations.

Spell

A language/runtime adapter (e.g. go, md) that maps generic targets onto a toolchain's real commands. See spells.

Buzz

The language magusfiles are written in (the .buzz engine). See engines.

Engine

The interpreter a magusfile runs on; magus embeds the Buzz engine. See engines.

Cache

The content-addressed store magus consults before running a target, so unchanged work is skipped. See cache.

Service

A long-running or shared process magus manages across runs, distinct from a one-shot target. See services.

CI

An ordinary magusfile-defined target you compose yourself with magus\needs - magus does not hardcode its stages. Magus.RunCI treats it specially only in that it strips the rw charm, it is the anchor magus affected ci keys off, and a selected scope with no project declaring it is a load error rather than a silent no-op. See targets.

Trace

OpenTelemetry's name for one whole magus invocation; every target it runs is a span beneath it. See telemetry.

Span

OpenTelemetry's name for one unit of work under a trace - a target execution, whose sub-operations are child spans. An output reference points at a span's captured output. See telemetry.

Remote cache

A CI-only backend that shares content-addressed artifacts across runners: a cold machine replays a build another runner already did instead of rebuilding. Every remote artifact must be signed by a trusted key. See remote.

Latency

How long an operation takes. magus records latency as OpenTelemetry histograms per family - target execution, cache op, pool wait, and graph query - and reports each as a count, sum, and percentiles. See telemetry.

Session

One magus process's recorded facts - the targets it finished, their outcomes, and the lease it acted as - kept in a repo-scoped store every worktree shares. magus session lists them; the store prunes itself by last-fact age.

Conventions

Placeholders

Angle brackets mark a value you replace with your own - never type the brackets:

magus run <target>
magus completion <shell>    # e.g. bash, zsh, fish

<target>, <path>, <shell>, <name> and the like are stand-ins, not literal text.