Add teabot daemon implementation
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teabot watches Gitea repos and dispatches one-shot Claude Code sessions in
Docker containers to work issues and review PRs, acting as configurable bot
personalities.

Claude-Session: https://claude.ai/code/session_015ur3i7D2azsMAWTSVABApv
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# Architecture
teabot is a single binary with a small set of internal packages. The daemon
polls Gitea, decides which events warrant work, and runs each unit of work as a
disposable Docker container.
```
main.go
└── internal/cli cobra command tree (run, config)
└── internal/dispatch poll loop, event filtering, job orchestration
├── internal/gitea read-only Gitea REST client
├── internal/state processed-event persistence (JSON)
├── internal/prompt per-event prompt construction
├── internal/config config + tea-config parsing
└── internal/docker containerised Claude execution (Runner iface)
```
## Poll cycle
`dispatch.Dispatcher` runs one `pollRepo` per watched repo each interval:
1. **List** open issues, open pull requests, and recent comments via the Gitea
API (one client authenticated as the first personality — reads only).
2. **Seed on first contact.** The very first poll of a repo records everything
currently open/recent as *processed* without dispatching anything, so a fresh
install does not stampede every existing item. The `seeded` flag is persisted
per repo.
3. **Classify & dispatch** subsequent events:
- a new issue → implementer session,
- a new pull request → reviewer session,
- a new comment on a thread teabot **acted on** → follow-up session.
## Filtering rules (loop prevention + dedup)
Two independent guards decide whether an event becomes a job:
- **Loop prevention** — any event authored by one of teabot's own personality
logins is skipped. This is what stops the bot reacting to its own PRs and
comments in an infinite loop. Bot-authored items are still *recorded* as
processed so they are never reconsidered.
- **Dedup** — every dispatched issue/PR index and every seen comment ID is
recorded in the state store (`~/.local/state/teabot/state.json`). An item is
marked processed *before* its job starts, so a subsequent poll (or a restart
mid-job) cannot double-launch it.
Comment follow-ups additionally require the parent issue/PR to be in the
*acted-on* set — teabot only continues threads it started, never arbitrary
comment threads. See [configuration](configuration.md) for the implication.
## Job execution
Each session is a `docker.Job` handed to a `docker.Runner`. The production
`DockerRunner`:
1. Materialises a per-job scratch dir containing the prompt, a static
`job.sh` entrypoint, a **private copy** of the Claude config dir (so
subscription-token refreshes never mutate the host's `~/.claude`), and a copy
of the personality's tea config.
2. Runs `docker run --rm --entrypoint /bin/bash <image> /teabot/job.sh` with:
- the scratch files bind-mounted (`:ro,z` under SELinux),
- the tea config mounted at `$HOME/.config/tea/config.yml` and
`XDG_CONFIG_HOME` set, so `tea` acts as the bot identity,
- git identity + a credential-store token so clones and pushes authenticate,
- `ANTHROPIC_API_KEY` / `ANTHROPIC_BASE_URL` injected only when configured
(otherwise the mounted subscription credentials are used).
3. `job.sh` configures git, clones the repo, and runs
`claude --print --dangerously-skip-permissions < /teabot/prompt.txt`.
The `Runner` interface means the whole dispatch layer is unit-testable with a
fake runner — no Docker daemon required. Concurrency is bounded by a semaphore
sized to `max_concurrent`, and every job has a `job_timeout`.
## Container image
teabot reuses the existing **`git.unkin.net/unkin/agent-dev:latest`** image,
which already bundles the `claude` CLI plus a Go/Node/Python/`tea` developer
toolchain and language servers. The image is configurable via `job_image`, so a
purpose-built image can be substituted without code changes.