The provider prefix is not cosmetic: the openai/ prefix makes LiteLLM apply OpenAI parameter validation to any model behind it, and slopo always passes dimensions, so a local OpenAI-compatible server needs its own prefix. Five settings are frozen into the database at first index, so changing the embedding model means re-embedding everything. And a review cannot bootstrap the database at all, because agent-review opens the index read-only.
9.8 KiB
dsh-slopo
slopo — an embedding-based duplicate-code detector — as a DeepSeek Harness bundle.
Slopo finds non-obvious duplicated logic: similar implementations of the same problem that are not copy-paste, and that a human reviewer, a coding agent and a clone detector all miss. This bundle gives you three user-triggered skills and one configuration-aware tool, so you can run it against whichever workspace you are in without remembering flags.
What it adds
| Contribution | What it is |
|---|---|
/slopo-review |
Slopo reports similar code involving your Git changes, and the agent reviews them as a note-taker. |
/slopo-analyze-ignore |
Triages the whole codebase's clusters, writing the obvious false positives into the ignore file. |
/slopo-analyze-one |
Reports one cluster at a time — optionally by hash — and judges whether it is worth acting on. |
the slopo tool |
Resolves the CLI, materialises the config, runs the work, and turns slopo's terse failures into something actionable. |
the dsh-slopo settings namespace |
The embedding backend and per-workspace state, editable at runtime. |
All three skills are user-invocable and deliberately not model-invocable,
matching slopo's own agent configs. Typing /slopo-review anywhere in a message
injects that skill; the model will not reach for one on its own. Every one of
these commands can spend minutes embedding, so the human decides when.
Install
dsh plugin --profile web add git+https://git.notexpectedyet.com/Not-Expected-Yet/dsh-slopo.git
Then restart the profile — a new bundle's modules are resolved at startup.
Plain ESM, no build step, and therefore no prepare script and no allowBuilds
entry to authorise. That is deliberate: dsh plugin add git+… fetches the source
tree rather than build output, so a prepare script would make every user
allowlist a build before the first install can succeed.
Configure it
Nothing is defaulted. Slopo itself requires a source directory, an embedding model and its dimensions, and guessing an embedding backend would mean guessing where money is spent — so the plugin starts unconfigured and says so.
Ask the tool what it wants:
{ "action": "status" }
Then set it up:
{
"action": "configure",
"config": {
"embeddingModel": "ollama/unclemusclez/jina-embeddings-v2-base-code:latest",
"embeddingDimensions": 768,
"embeddingApiBase": "http://127.0.0.1:11434"
}
}
Values land in the dsh-slopo section of $DSH_HOME/settings.yaml.
| Setting | Meaning |
|---|---|
embeddingModel |
LiteLLM model string. Include the provider prefix — see below. |
embeddingDimensions |
Must match what the model actually returns. Slopo freezes it at first index. |
embeddingApiBase |
Provider base URL. Becomes slopo's embedding_params.api_base. |
embeddingApiKey |
Optional. Passed to slopo in its environment, never written to disk. |
embeddingParamsJson |
Extra LiteLLM embedding params as a JSON object string. |
sourceDir |
Code to index. Defaults to the session's working directory. |
sourceDirExclude |
gitignore-style paths to skip. |
autoInstall |
Install slopo into $DSH_HOME with uv on first use. Default true. |
binary |
An explicit slopo executable, overriding discovery. |
stateDir |
Override the per-workspace state directory. |
ignoreFile |
Override the ignore file path. |
embeddingRequestDelay |
Milliseconds between embedding requests, for rate-limited providers. |
timeoutMs |
Cooperative budget for a foreground run. |
Choose the provider prefix carefully
The provider prefix is not cosmetic — it selects which LiteLLM validator runs.
openai/<model> ✗ UnsupportedParamsError: Setting dimensions is not supported
for OpenAI `text-embedding-3` and later models
ollama/<model> ✓ works
Slopo always passes dimensions, and the openai/ prefix makes LiteLLM apply
OpenAI-specific parameter validation to any model behind it. A local
OpenAI-compatible server therefore needs its own prefix (ollama/,
hosted_vllm/), not openai/. This is the single most likely thing to trip you
up on first setup, and slopo reports it only as Error: Embedding failed. on
stdout — the real message is in the agent log, which the tool reads for you.
A local backend costs nothing
A local Ollama server is a good default: free, private, no API key and no egress. Measured throughput on a small CPU box is roughly 230 ms per unique unit (~4/second), with repeated inputs served from cache. Budget minutes, not seconds, for a first index of a real repository.
Use it
Type the skill name in a message:
/slopo-review
/slopo-review main
/slopo-analyze-one
Or drive the tool directly:
| Action | What it does |
|---|---|
status |
Resolved settings, index state, binary, and what is still missing. |
configure |
Patch the settings namespace. |
prepare |
slopo index then slopo embed — the slow, possibly costly phase. |
review |
Similar code involving Git changes (base defaults to HEAD). |
analyze |
Triage the whole codebase. |
analyze-one |
One cluster, optionally by cluster hash. |
update |
Upgrade the slopo CLI. |
The long actions run as background jobs by default (pass foreground: true
to run inline). Embedding takes minutes, and slopo writes its progress to a log
file rather than to stdout, so there is nothing to stream — the job handle
carries the log path instead.
Where things live
Everything is under $DSH_HOME, and nothing is written into your repository:
$DSH_HOME/dsh-slopo/
├── uv-tools/ # the uv-managed slopo install and its shim
├── uv-python/ # the CPython 3.12 that slopo requires
└── workspaces/<name>-<hash8>/
├── slopo.conf.yaml # generated; edits here are overwritten
├── slopo.db # the index and embeddings
├── slopo.ignore.txt # dismissed cluster hashes
└── slopo.agent.log # full errors, progress
$DSH_HOME is not an arbitrary choice. In a containerised harness it is usually
the only persistent mount, while ~/.local — where uv tool install puts things
by default — lives on the container's writable layer and is lost when the
container is recreated, not merely restarted. Setting UV_TOOL_DIR,
UV_TOOL_BIN_DIR and UV_PYTHON_INSTALL_DIR into $DSH_HOME makes the install
survive that, and installation is lazy rather than on boot so a fresh container
self-heals on first use.
Point ignoreFile at e.g. <repo>/slopo.ignore.txt if you would rather those
decisions were versioned with the code — they are a judgement about your
codebase, and arguably belong in review.
Things worth knowing
Five settings are frozen at first index. source_dir, embedding_model,
embedding_dimensions and both node-count thresholds are written into
slopo.db on the first index, and every later run refuses to mix generations:
Error: Configuration mismatch.
Changing any of them means deleting the database and re-embedding everything — real time, and real money on a hosted backend. The tool recognises this failure and says so rather than relaying the two-word stderr line.
A review cannot bootstrap the database. agent-review opens the index with a
read-only open, so on a fresh workspace it fails with No data in database. The tool wasn't initialized. Run prepare first. Indexing is pure local parsing and
free; only embedding reaches the network.
Slopo refuses more than 1000 unembedded units inside an agent call, to
protect agent latency. The tool translates that into an offer to run prepare
in the background.
Slopo's stderr is deliberately unhelpful. It prints one short non-revealing line for an agent and writes the real error to the agent log. The tool reads the log tail and maps the known failures — missing database, configuration mismatch, oversized backlog, missing or invalid config, stale index, git failure, embedding failure — onto a message and a next step.
--config-version 1 is an alarm, not boilerplate. It makes slopo fail if its
agent-facing contract has moved on, which is the signal that the skill text in
skills/ needs re-porting from upstream.
Slopo is an external process, not a library
It is installed separately, invoked through its own CLI, and never imported or modified. Slopo is AGPL-3.0-or-later and does not accept patches, so its command-line interface is the only contract worth building on — and executing an unmodified, separately installed program is a materially different proposition from linking against it.
Development
node --test test/*.test.js # unit + integration, mock harness
DSH_SLOPO_E2E=1 npm test # also drives the real CLI end to end
The integration tests load the real plugin module against a mock Cordis context
and drive the tool through a real shell into the real slopo binary, so a wrong
assumption about a dsh service surfaces as a failing test rather than as a plugin
that silently does nothing. Two real bugs were caught this way: a config
renderer that would write the API key to disk if handed one, and --config-version
placed before the subcommand, which slopo rejects with a usage error.
node_modules/@deepseek-ai is a local symlink to the installed harness so the
@deepseek-ai/* imports resolve during tests. It is gitignored and is not a
declared dependency — an out-of-tree bundle that depended on an in-box package
would install a second copy that drifts from the host's.
Licence
AGPL-3.0-or-later, matching slopo. The three skill bodies are ports of slopo's
own agent configurations rather than new prose; NOTICE.md records exactly what
changed and why the licence follows.