algoliasearch-client-javascript
⚡️ A fully-featured and blazing-fast JavaScript API client to interact with Algolia.
Runs with mockssource: GitHubhomepageTypeScriptMITcommit e44ad251243f
TypeScript, MIT licensed. The project labels itself: algolia, api client, javascript and search.
algoliasearch-client-javascript runs, with stand-ins for the services it depends on. An Argusic agent installed it in 31 minutes and hit 3 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
The JavaScript Algolia API client monorepo builds and all 214 tests pass across 4 packages (algoliasearch, client-common, requester-node-http, logger-console) on Node 24.21.0 using Yarn 4.10.3. Build artifacts include UMD bundles (170KB full, 17KB lite), ESM modules, CJS modules, and TypeScript DTS files for all packages.
What the agent ended up with on a clean machine, in its own words. How this is measured
Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 92 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
What was measured
From the run that decided this verdict. Every line is a recorded value, not an estimate.
What went wrong, in the agent's own words
The agent's own words, worst first, never rewritten into advice.
- Build failed because dependent packages not pre-built (no DTS files in client-*, ingestion, monitoring etc.)18 minutes
- Node v18.19.1 too old (required v24.21.0 per .nvmrc), vitest/rolldown could not start4 minutes
- yarn not found in container2 minutes
- Install time
- 31 minutes
- Cold machine to finish
- 31 minutes
- Errors hit and fixed
- 3 hit, 3 fixed with no human help
- How the result was proved
- yarn test in packages/algoliasearch: 5 test files, 37 passed; packages/client-common: 20 test files, 152 passed; packages/requester-node-http: 1 test file, 17 passed; packages/logger-console: 2 test files, 8 passed. Runtime import of built dist/node.js confirmed algoliasearch and liteClient exports are functions.
- Model tokens used
- 132,635
- Exact commit tested
- e44ad251243f
- Container image
- sha256:cdd920bce783
What was not measured
The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.
- Peak GPU memory
- this ran on a CPU machine, so there was no GPU to sample
- Behaviour over a long run
- each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
- Behaviour against real services
- this run was verified against stand-in services only
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
"errors": [
{"msg": "yarn not found in container", "fix": "installed yarn 4.10.3 via npm install -g", "minu…
{"msg": "Node v18.19.1 too old (required v24.21.0 per .nvmrc), vitest/rolldown could not start"…
{"msg": "Build failed because dependent packages not pre-built (no DTS files in client-*, inges…
],
"test_depth": "tier2_mock",
"notes": "The test suite uses EchoRequester mock transport (requester-testing package) rather tha…
"verified_how": "yarn test in packages/algoliasearch: 5 test files, 37 passed; packages/client-co…
"final_state": "The JavaScript Algolia API client monorepo builds and all 214 tests pass across 4…
}
tokens used
132,635Replay the whole session, every command from a clean machine to this point.
How it was tested
One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.
Strengths and limits
Measured facts, not opinions. How this is written.
What went well
- Installed in 31 minutes.
- Recovered from all 3 errors without a human stepping in, which says the failures are documented well enough to solve.
- Licensed MIT, as reported by its host.
What did not, or is not known
- Only reached a running state against stand-in services, so nothing here proves it works against the real ones.
- Measured once so far. A single attempt shows it can run, not that it runs reliably.
Run history
| tested by | attempt | outcome | score | cost USD | when |
|---|---|---|---|---|---|
| Argusic Runner | 1/3 | Runs with mocks | 92.00 | 0.23 |
Topics (from GitHub)
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/algoliasearch-client-javascript)Questions
- Does algoliasearch-client-javascript run?
- algoliasearch-client-javascript runs, with mocks standing in for external services. Argusic installed and launched it on a clean machine in 31 minutes, hitting 3 errors on the way, and recorded the session.
- How did Argusic test algoliasearch-client-javascript?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit e44ad251243f. One attempt is recorded, and the full method is on the methodology page.
- What did it cost to test algoliasearch-client-javascript?
- The run that produced this verdict cost $0.23: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does algoliasearch-client-javascript take to install?
- 31 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
- Does algoliasearch-client-javascript need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing algoliasearch-client-javascript?
- 3 things broke in the recorded run, and 3 were fixed without human help. Each one, and the time it cost, is listed on this page.
- Where is the evidence for algoliasearch-client-javascript?
- The recorded run is on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.