aichat

All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.

Runs with mockssource: GitHubRustApache-2.0commit 82976d349ad9

Rust, Apache-2.0 licensed. The project labels itself: ai, ai agents, chatbot, claude, cli, function calling, gemini and llm.

aichat runs, with stand-ins for the services it depends on. An Argusic agent installed it in 3 minutes and hit 1 error and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.

aichat 0.30.0 builds from source, passes all 21 unit tests, and successfully proxies requests to an OpenAI-compatible API backend including chat completions (200), model listing, and web playground (200).

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

verdict
Runs with mocks
Argusic Score
92 / 100
cost of the verifying run
$0.03 (measured)
recorded runs
1
last tested
stars
10,471
forks
746
open issues
104
watchers
99
size
4 MB
created
last push

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.

Time lost to each failure while testing aichat, drawn from the recorded run
Every bar is a failure the agent recorded, with the time it cost. Drawn from this run, not from anywhere else.

What went wrong, in the agent's own words

The agent's own words, worst first, never rewritten into advice.

  • Rust toolchain not pre-installed in container1 minute
Install time
3 minutes
Cold machine to finish
7 minutes
Errors hit and fixed
1 hit, 1 fixed with no human help
How the result was proved
aichat -S 'hello from aichat' (against mock) exited 0, returned 'Hello from mock!'; aichat --serve proxy returned HTTP 200 on chat completions, models, and playground endpoints
Model tokens used
129,740
Exact commit tested
82976d349ad9
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.

**End-to-end verification** — set up a mock Argusic-compatible API server and confirmed:
- `aichat -S "hello from aichat"` → exit 0, returned `Hello from mock!`
- `aichat --serve` proxy mode → HTTP 200 on `/v1/chat/completions`, `/v1/models`, and `/playground`
- `aichat --info`, `--dry-run`, `--list-models`, `--version` all return correct output
tokens used
129,740
**Install** succeeded — Rust toolchain was installed, and `cargo build --release` completed in 3m 0…
**Tests** — `cargo test` passed all 21 tests (0 failed, 0 ignored).
**End-to-end verification** — set up a mock Argusic-compatible API server and confirmed:
- `aichat -S "hello from aichat"` → exit 0, returned `Hello from mock!`
- `aichat --serve` proxy mode → HTTP 200 on `/v1/chat/completions`, `/v1/models`, and `/playground`
- `aichat --info`, `--dry-run`, `--list-models`, `--version` all return correct output

Replay 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 3 minutes, faster than the median of the 49 comparable projects Argusic has measured.
  • Recovered from all 1 error without a human stepping in, which says the failures are documented well enough to solve.
  • Licensed Apache-2.0, 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.

Of the 50 ai projects Argusic has installed and timed, aichat was the 15th fastest to reach a running state, and 38 of 50 reached one at all.

Also tested, in the same area

Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.

Run history

tested byattemptoutcomescorecost USDwhen
Argusic Runner1/3Runs with mocks92.000.03

Topics (from GitHub)

aiai-agentschatbotclaudeclifunction-callinggeminillmollamaopenairagrustshellwebui

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/aichat.svg)](https://argusic.com/subject/aichat)

Questions

Does aichat run?
aichat runs, with mocks standing in for external services. Argusic installed and launched it on a clean machine in 3 minutes, hitting 1 error on the way, and recorded the session.
How did Argusic test aichat?
On a fresh, disposable machine, with every command recorded and the repository pinned at commit 82976d349ad9. One attempt is recorded, and the full method is on the methodology page.
What did it cost to test aichat?
The run that produced this verdict cost $0.03: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
How long does aichat take to install?
3 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 aichat need a GPU?
Not to start. Argusic reached a running state on a machine with no GPU.
What goes wrong when installing aichat?
1 thing broke in the recorded run, and 1 were fixed without human help. Each one, and the time it cost, is listed on this page.
How does aichat compare with the alternatives?
Of the 50 ai projects Argusic has installed and timed, aichat was the 15th fastest to reach a running state, and 38 of 50 reached one at all.
Where is the evidence for aichat?
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.

Discussion