K1412 Agent

K1412 Agent is a multi-user web coding Agent. Every user request enters the same independently evolvable Agent loop; its scheduler, context policy, memory, tools, evidence rules, and child Agents are owned by this repository.

The production instance is available at https://agent.k1412.top.

Architecture

browser
  |
  v
Open WebUI (auth, RBAC, chat history, UI)
  |
  v
Agent Runtime (model gateway + Agent loop)
  |
  v
Workspace Gateway (identity, policy, audit)
  |
  v
one Docker workspace per Open WebUI user on a dedicated execution host

Open WebUI is pinned and lightly patched. Its picker exposes only four model names and a separate read-only thinking status. Provider URLs, provider model IDs, API keys, tool server settings, system prompts, and runtime parameters remain server-side.

Model identity and thinking control are intentionally separate:

UI model	Provider model	Thinking	Reasoning effort
Luna	`ChatGPT-5.6:Luna`	On, no effort levels	—
Terra	`ChatGPT-5.6:Terra`	On, no effort levels	—
Sol	`ChatGPT-5.6:Sol`	On, no effort levels	—
DeepSeek V4 Pro	`deepseek-v4-pro`	On	Extreme (`max`)

The three Ollama models advertise thinking, but they are Qwen-family models with a boolean thinking switch rather than GPT-OSS-style low/medium/high effort levels. Luna, Terra, and Sol are different models, not three reasoning settings for one model.

Local development

Copy .env.example to .env and fill in the secret values. Never commit .env. Generate new values with ./scripts/init-secrets.sh.

Build the user workspace image:

docker compose --profile build-only build workspace-image

Start the stack:
```
docker compose up --build
```
Open http://localhost:3000. New users register as pending and require approval by the bootstrap administrator.

Provider credentials are intentionally not stored here. Keep them only in the protected deployment .env.

Tests

python3 -m venv .venv
.venv/bin/pip install -e '.[dev]'
.venv/bin/pytest

Run the complete local verification path, including the real Docker isolation test, with:

./scripts/verify.sh

Run a live Agent evaluation in a unique, disposable, network-disabled Docker workspace with:

set -a
source /path/to/protected/deepseek.env
set +a
.venv/bin/python scripts/eval-live-work.py --model deepseek-v4-pro

The evaluator reports latency, token usage, tool counts, completion evidence, and the generated file listing. It removes only the uniquely named evaluation container, volume, and network unless --keep-workspace is supplied.

Run the disposable six-service integration stack with a deterministic fake model provider and exercise registration approval, the Agent loop, workspace isolation, and file delivery with:

./scripts/verify-e2e.sh

The E2E stack and its test-only volumes are removed on exit. Set E2E_KEEP_STACK=1 only when you need to inspect the running containers.

Audit every finished service and workspace image, requiring consistent Python environments, zero known Python vulnerabilities, and zero fixable High/Critical image vulnerabilities, with:

./scripts/audit-images.sh

Generated files are available from the 工作区文件 button beside the model selector. Users can browse directories, download one file, or download the current directory as a .tar.gz archive. Browser requests are authenticated by Open WebUI and re-signed for the Workspace Gateway; no internal key is exposed.

Documentation

Deployment

Production uses immutable linux/amd64 images in docker.k1412.top/wuyang/*, an Unraid Compose Manager project, private service networking, and a single public HTTPS entry at https://agent.k1412.top.

User workspaces run through SSH on a dedicated Docker host; application and database services remain on the NAS.

License and Open WebUI attribution

The web service is derived from Open WebUI v0.9.6. Open WebUI's copyright, license, and attribution remain under the upstream Open WebUI License. K1412's original Runtime, Gateway, deployment, tests, and documentation are Apache-2.0. This is therefore a mixed-license source repository; the Open WebUI-derived web layer is not relicensed as Apache-2.0.

The production deployment uses Open WebUI's branding-removal exception for installations with at most 50 end users in a rolling 30-day period. Public builds retain upstream branding by default. See THIRD_PARTY_NOTICES.md.

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