# reply-end-controls - Telegram V1 Design

## Scope

This project is Telegram-only.

No Discord, Slack, or cross-channel abstraction is part of V1.

However, the internal architecture should still be **plugin-oriented and reusable** so that multiple agents can adopt the same reply-end-controls behavior later without rewriting the logic.

## Product behavior

At the end of every assistant reply sent to Telegram, attach two inline buttons:

- `A. 繼續`
- `B. 就這樣吧，不需要額外處理`

Button selection must be captured and stored in conversation/session state.

If the user types a new message instead of pressing a button, the typed message takes priority.

## V1 rules

### Rule 1

Every assistant reply gets reply-end buttons.

### Rule 2

If the user taps `繼續`:

- store `lastChoice=continue`
- allow follow-up behavior on later turns

### Rule 3

If the user taps `就這樣吧，不需要額外處理`:

- store `lastChoice=stop`
- suppress unnecessary continuation behavior on later turns

### Rule 4

If the user sends a new typed message, that input overrides the button state.

### Rule 5

After a button is clicked, the original message buttons should be updated so the selection is visually resolved and repeated clicks are reduced.

## State model

Store this in Telegram conversation/session state:

```json
{
  "replyEndControls": {
    "lastChoice": "continue | stop",
    "lastChoiceAt": "ISO timestamp",
    "sourceMessageId": "telegram message id",
    "sourceCallbackId": "telegram callback query id",
    "active": true
  }
}
```

## Telegram callback payloads

Suggested callback data format:

- `rec:continue`
- `rec:stop`

If message-scoped state is needed later, extend to:

- `rec:continue:<messageId>`
- `rec:stop:<messageId>`

## Technical flow

### Outbound reply flow

1. Assistant reply text is produced.
2. Telegram reply payload is decorated with inline keyboard.
3. Message is sent to Telegram.

### Callback flow

1. User clicks button.
2. Telegram sends callback query.
3. Callback handler parses `continue` or `stop`.
4. State is persisted.
5. Original message buttons are updated to reflect the chosen option.

### Next-turn behavior

1. A later turn begins.
2. Runtime checks `replyEndControls.lastChoice`.
3. If `stop`, do not proactively extend or continue the previous thread unless the user explicitly asks.
4. If `continue`, normal continuation behavior is allowed.

## Suggested implementation modules

### 1. Reply decorator

Responsibility:

- append Telegram inline keyboard to every assistant reply

### 2. Callback handler

Responsibility:

- receive Telegram callback queries
- parse reply-end action
- update state

### 3. State storage helper

Responsibility:

- persist and retrieve the latest reply-end selection for the current conversation/session

### 4. Behavior policy hook

Responsibility:

- inspect `lastChoice`
- suppress proactive continuation when `stop` is active

## Plugin-oriented design goal

Even though V1 is Telegram-only, implementation should be split so the feature can be reused by other agents.

### Required separation

#### A. Channel-specific layer

Telegram-only code:

- inline keyboard rendering
- callback query parsing
- Telegram message edit/update behavior

#### B. Agent-neutral control core

Reusable logic:

- reply-end choice state model
- state persistence rules
- Continue/Stop behavior policy
- helpers for reading and updating `lastChoice`

#### C. Agent integration adapter

Per-agent integration points:

- how a given agent/runtime appends controls to replies
- how a given agent/runtime consults the stored choice before later turns

This means V1 should not hard-code every behavior directly into Telegram handlers. Telegram should be the transport/integration layer, while the choice model and policy logic should stay reusable.

## Multi-agent reuse target

The design should make it possible for future agents to reuse the same core with minimal custom work:

- Agent A: Telegram assistant using OpenClaw
- Agent B: another Telegram bot runtime
- Agent C: future Slack/Discord version, if ever needed later

The shared core should answer:

- what choice was made?
- when was it made?
- is the conversation currently in `continue` or `stop` mode?
- should the next assistant turn suppress proactive continuation?

## Recommended code layout

Suggested V1 layout:

```text
reply-end-controls/
├── README.md
├── telegram-v1-design.md
├── core/
│   ├── state-model.md
│   ├── policy.md
│   └── callback-contract.md
├── telegram/
│   ├── reply-decorator.md
│   ├── callback-handler.md
│   └── message-update.md
└── adapters/
    └── openclaw.md
```

V1 does not need all of these files implemented yet, but the structure should guide the implementation so transport-specific code does not swallow the reusable core.

## Acceptance criteria for V1

V1 is complete when all of the following are true:

1. A normal Telegram assistant reply shows both buttons.
2. Clicking `繼續` is received and stored.
3. Clicking `就這樣吧，不需要額外處理` is received and stored.
4. After click, the original message is updated to show the choice state.
5. A new typed user message still works without pressing any button.
6. A later turn can read the stored choice and alter continuation behavior.

## Non-goals for V1

- multi-channel abstraction
- governance integration
- analytics dashboard
- complex branching controls beyond `continue` and `stop`