Files
lettabot/docs/configuration.md
github-actions[bot] a3c944bd13 feat: expose memfs (memory filesystem) option in lettabot config and SDK session (#336)
Adds features.memfs config key that controls whether the Letta Code CLI
receives --memfs or --no-memfs when creating/resuming SDK sessions. This
enables lettabot users to opt into git-backed memory filesystem (context
repositories) for persistent local memory sync.

- Config types: memfs?: boolean on AgentConfig.features, LettaBotConfig.features, BotConfig
- Bot wiring: baseSessionOptions() and createAgent() pass memfs to SDK when defined
- Main wiring: YAML config takes precedence, LETTABOT_MEMFS env var as fallback
- Legacy fix: conversations passthrough in single-agent normalization
- Tests: 3 memfs wiring tests (true/false/undefined), 2 conversations passthrough tests
- Docs: configuration.md section with known limitations, example YAML

Fixes #335

Written by Cameron and Letta Code

"The best way to predict the future is to implement it." -- David Heinemeier Hansson
2026-02-22 05:37:01 +01:00

704 lines
24 KiB
Markdown

# Configuration Reference
Complete reference for LettaBot configuration options.
## Config File Locations
LettaBot checks these locations in order:
1. `LETTABOT_CONFIG` env var - Explicit path override
2. `./lettabot.yaml` - Project-local (recommended)
3. `./lettabot.yml` - Project-local alternate
4. `~/.lettabot/config.yaml` - User global
5. `~/.lettabot/config.yml` - User global alternate
For global installs (`npm install -g`), either:
- Create `~/.lettabot/config.yaml`, or
- Set `export LETTABOT_CONFIG=/path/to/your/config.yaml`
## Example Configuration
```yaml
# Server connection
server:
mode: api # 'api' or 'docker' (legacy: 'cloud'/'selfhosted')
apiKey: letta_... # Required for api mode
api:
port: 8080 # Default: 8080 (or PORT env var)
# host: 0.0.0.0 # Uncomment for Docker/Railway
# corsOrigin: https://my.app # Uncomment for cross-origin access
# Agent settings (single agent mode)
# For multiple agents, use `agents:` array instead -- see Multi-Agent section
agent:
name: LettaBot
# id: agent-... # Optional: use existing agent
# Note: model is configured on the Letta agent server-side.
# Use `lettabot model set <handle>` to change it.
# Conversation routing (optional)
conversations:
mode: shared # "shared" (default) or "per-channel"
heartbeat: last-active # "dedicated" | "last-active" | "<channel>"
# Channel configurations
channels:
telegram:
enabled: true
token: "123456:ABC-DEF..."
dmPolicy: pairing
slack:
enabled: true
botToken: xoxb-...
appToken: xapp-...
dmPolicy: pairing
discord:
enabled: true
token: "..."
dmPolicy: pairing
whatsapp:
enabled: true
selfChat: true # IMPORTANT: true for personal numbers
dmPolicy: pairing
signal:
enabled: true
phone: "+1234567890"
selfChat: true
dmPolicy: pairing
# Features
features:
cron: true
heartbeat:
enabled: true
intervalMin: 60
# Polling (background checks for Gmail, etc.)
polling:
enabled: true
intervalMs: 60000 # Check every 60 seconds
gmail:
enabled: true
account: user@example.com
# Voice transcription
transcription:
provider: openai
apiKey: sk-... # Optional: falls back to OPENAI_API_KEY
model: whisper-1
# Attachment handling
attachments:
maxMB: 20
maxAgeDays: 14
```
## Server Configuration
| Option | Type | Description |
|--------|------|-------------|
| `server.mode` | `'api'` \| `'docker'` | Connection mode (legacy aliases: `'cloud'`, `'selfhosted'`) |
| `server.apiKey` | string | API key for Letta API |
| `server.baseUrl` | string | URL for Docker/custom server (e.g., `http://localhost:8283`) |
### Docker Server Mode
```yaml
server:
mode: docker
baseUrl: http://localhost:8283
```
Run Letta server with Docker:
```bash
docker run -v ~/.letta/.persist/pgdata:/var/lib/postgresql/data \
-p 8283:8283 \
-e OPENAI_API_KEY="..." \
letta/letta:latest
```
## Agent Configuration (Single Agent)
The default config uses `agent:` and `channels:` at the top level for a single agent:
| Option | Type | Description |
|--------|------|-------------|
| `agent.id` | string | Use existing agent (skips creation) |
| `agent.name` | string | Name for new agent |
| `agent.displayName` | string | Prefix outbound messages (e.g. `"💜 Signo"`) |
> **Note:** The model is configured on the Letta agent server-side, not in the config file.
> Use `lettabot model show` to see the current model and `lettabot model set <handle>` to change it.
> During initial setup (`lettabot onboard`), you'll be prompted to select a model for new agents.
For multiple agents, see [Multi-Agent Configuration](#multi-agent-configuration) below.
## Multi-Agent Configuration
Run multiple independent agents from a single LettaBot instance. Each agent gets its own channels, state, cron, heartbeat, and polling services.
Use the `agents:` array instead of the top-level `agent:` and `channels:` keys:
```yaml
server:
mode: api
apiKey: letta_...
agents:
- name: work-assistant
# displayName: "🔧 Work" # Optional: prefix outbound messages
model: claude-sonnet-4
# id: agent-abc123 # Optional: use existing agent
conversations:
mode: shared
heartbeat: last-active
channels:
telegram:
token: ${WORK_TELEGRAM_TOKEN}
dmPolicy: pairing
slack:
botToken: ${SLACK_BOT_TOKEN}
appToken: ${SLACK_APP_TOKEN}
features:
cron: true
heartbeat:
enabled: true
intervalMin: 30
- name: personal-assistant
model: claude-sonnet-4
conversations:
mode: per-channel
heartbeat: dedicated
channels:
signal:
phone: "+1234567890"
selfChat: true
whatsapp:
enabled: true
selfChat: true
features:
heartbeat:
enabled: true
intervalMin: 60
```
### Per-Agent Options
Each entry in `agents:` accepts:
| Option | Type | Required | Description |
|--------|------|----------|-------------|
| `name` | string | Yes | Agent name (used for display, creation, and state isolation) |
| `id` | string | No | Use existing agent ID (skips creation) |
| `displayName` | string | No | Prefix outbound messages (e.g. `"💜 Signo"`) |
| `model` | string | No | Model for agent creation |
| `conversations` | object | No | Conversation routing config (shared vs per-channel) |
| `channels` | object | No | Channel configs (same schema as top-level `channels:`). At least one agent must have channels. |
| `features` | object | No | Per-agent features (cron, heartbeat, memfs, maxToolCalls) |
| `polling` | object | No | Per-agent polling config (Gmail, etc.) |
| `integrations` | object | No | Per-agent integrations (Google, etc.) |
### How it works
- Each agent is a separate Letta agent with its own conversation history and memory
- Agents have isolated state, channels, and services (see [known limitations](#known-limitations) for exceptions)
- The `LettaGateway` orchestrates startup, shutdown, and message delivery across agents
- Legacy single-agent configs (`agent:` + `channels:`) continue to work unchanged
### Migrating from single to multi-agent
Your existing config:
```yaml
agent:
name: MyBot
channels:
telegram:
token: "..."
features:
cron: true
```
Becomes:
```yaml
agents:
- name: MyBot
channels:
telegram:
token: "..."
features:
cron: true
```
The `server:` (including `server.api:`), `transcription:`, and `attachments:` sections remain at the top level (shared across all agents).
### Known limitations
- Two agents cannot share the same channel type without ambiguous API routing ([#219](https://github.com/letta-ai/lettabot/issues/219))
- WhatsApp/Signal session paths are not yet agent-scoped ([#220](https://github.com/letta-ai/lettabot/issues/220))
- Heartbeat prompt and target are not yet configurable per-agent ([#221](https://github.com/letta-ai/lettabot/issues/221))
## Channel Configuration
All channels share these common options:
| Option | Type | Description |
|--------|------|-------------|
| `enabled` | boolean | Enable this channel |
| `dmPolicy` | `'pairing'` \| `'allowlist'` \| `'open'` | Access control mode |
| `allowedUsers` | string[] | User IDs/numbers for allowlist mode |
| `groupDebounceSec` | number | Debounce for group messages in seconds (default: 5, 0 = immediate) |
| `instantGroups` | string[] | Group/channel IDs that bypass debounce entirely (legacy) |
| `groups` | object | Per-group configuration map (use `*` as default) |
| `mentionPatterns` | string[] | Extra regex patterns for mention detection (Telegram/WhatsApp/Signal) |
### Group Message Debouncing
In group chats, the bot debounces incoming messages to batch rapid-fire messages into a single response. The timer resets on each new message, so the bot waits for a quiet period before responding.
```yaml
channels:
discord:
groupDebounceSec: 10 # Wait 10s of quiet before responding
instantGroups: # These groups get instant responses
- "123456789"
```
- **Default: 5 seconds** -- waits for 5s of quiet, then processes all buffered messages at once
- **`groupDebounceSec: 0`** -- disables batching (every message processed immediately, like DMs)
- **`@mention`** -- always triggers an immediate response regardless of debounce
- **`instantGroups`** -- listed groups bypass debounce entirely
The deprecated `groupPollIntervalMin` (minutes) still works for backward compatibility but `groupDebounceSec` takes priority.
### Conversation Routing
By default, all channels share a single conversation. You can split conversations per channel adapter.
**Single-agent config:**
```yaml
conversations:
mode: shared # "shared" (default) or "per-channel"
heartbeat: last-active # "dedicated" | "last-active" | "<channel>"
```
**Multi-agent config:**
```yaml
agents:
- name: work-assistant
conversations:
mode: per-channel
heartbeat: dedicated
```
Notes:
- `per-channel` means one conversation per **channel adapter** (telegram/slack/discord/etc), not per chat/user.
- Agent memory remains shared across channels; only the conversation history is separated.
- `heartbeat` controls which conversation background triggers use: a dedicated stream, the last active channel, or an explicit channel name.
### Group Modes
Use `groups.<id>.mode` to control how each group/channel behaves:
- `open`: process and respond to all messages (default behavior)
- `listen`: process all messages for context/memory, only respond when mentioned
- `mention-only`: drop group messages unless the bot is mentioned
- `disabled`: drop all group messages unconditionally, even if the bot is mentioned
You can also use `*` as a wildcard default:
```yaml
channels:
telegram:
groups:
"*": { mode: listen }
"-1001234567890": { mode: open }
"-1009876543210": { mode: mention-only }
```
### Per-Group User Filtering
Use `groups.<id>.allowedUsers` to restrict which users can trigger the bot in a specific group. When set, messages from users not in the list are silently dropped before reaching the agent (no token cost).
```yaml
channels:
discord:
groups:
"*":
mode: mention-only
allowedUsers:
- "123456789012345678" # Only this user triggers the bot
"TESTING_CHANNEL":
mode: open
# No allowedUsers -- anyone can interact in this channel
```
Resolution follows the same priority as `mode`: specific channel/group ID > guild/server ID > `*` wildcard. Omitting `allowedUsers` means all users are allowed.
This works across all channels (Discord, Telegram, Slack, Signal, WhatsApp).
### Finding Group IDs
Each channel uses different identifiers for groups:
- **Telegram**: Group IDs are negative numbers (e.g., `-1001234567890`). To find one: add `@userinfobot` to the group, or forward a group message to `@userinfobot`. You can also check the bot logs -- group IDs are printed when the bot receives a message.
- **Discord**: Channel and server IDs are numeric strings (e.g., `123456789012345678`). Enable **Developer Mode** in Discord settings (User Settings > Advanced > Developer Mode), then right-click any channel or server and select "Copy Channel ID" or "Copy Server ID".
- **Slack**: Channel IDs start with `C` (e.g., `C01ABC23DEF`). Right-click a channel > "View channel details" > scroll to the bottom to find the Channel ID.
- **WhatsApp**: Group JIDs look like `120363123456@g.us`. These appear in the bot logs when the bot receives a group message.
- **Signal**: Group IDs appear in the bot logs on first group message. Use the `group:` prefix in config (e.g., `group:abc123`).
**Tip**: If you don't know the ID yet, start the bot with `"*": { mode: mention-only }`, send a message in the group, and check the logs for the ID.
Deprecated formats are still supported and auto-normalized with warnings:
- `listeningGroups: ["id"]` -> `groups: { "id": { mode: listen } }`
- `groups: { "id": { requireMention: true/false } }` -> `mode: mention-only/open`
### DM Policies
**Note:** For WhatsApp/Signal with `selfChat: true` (personal number), dmPolicy is ignored - only you can message via "Message Yourself" / "Note to Self".
For dedicated bot numbers (`selfChat: false`), onboarding defaults to **allowlist**:
- **`allowlist`** (default for dedicated numbers): Only specified phone numbers can message
- **`pairing`**: New users get a code, approve with `lettabot pairing approve`
- **`open`**: Anyone can message (not recommended)
### Channel-Specific Options
#### Telegram
| Option | Type | Description |
|--------|------|-------------|
| `token` | string | Bot token from @BotFather |
#### Slack
| Option | Type | Description |
|--------|------|-------------|
| `botToken` | string | Bot User OAuth Token (xoxb-...) |
| `appToken` | string | App-Level Token (xapp-...) for Socket Mode |
#### Discord
| Option | Type | Description |
|--------|------|-------------|
| `token` | string | Bot token from Discord Developer Portal |
#### WhatsApp
| Option | Type | Description |
|--------|------|-------------|
| `selfChat` | boolean | **Critical:** `true` = only "Message Yourself" works |
#### Signal
| Option | Type | Description |
|--------|------|-------------|
| `phone` | string | Phone number with + prefix |
| `selfChat` | boolean | `true` = only "Note to Self" works |
## Features Configuration
### Heartbeat
```yaml
features:
heartbeat:
enabled: true
intervalMin: 60 # Check every 60 minutes
skipRecentUserMin: 5 # Skip auto-heartbeats for N minutes after user message (0 disables)
```
Heartbeats are background tasks where the agent can review pending work.
If the user messaged recently, automatic heartbeats are skipped by default for 5 minutes (`skipRecentUserMin`).
Set this to `0` to disable skipping. Manual `/heartbeat` bypasses the skip check.
#### Custom Heartbeat Prompt
You can customize what the agent is told during heartbeats. The custom text replaces the default body while keeping the silent mode envelope (time, trigger metadata, and messaging instructions).
Inline in YAML:
```yaml
features:
heartbeat:
enabled: true
intervalMin: 60
prompt: "Check your todo list and work on the highest priority item."
```
From a file (re-read each tick, so edits take effect without restart):
```yaml
features:
heartbeat:
enabled: true
intervalMin: 60
promptFile: ./prompts/heartbeat.md
```
Via environment variable:
```bash
HEARTBEAT_PROMPT="Review recent conversations" npm start
# Optional: HEARTBEAT_SKIP_RECENT_USER_MIN=0 to disable recent-user skip
```
Precedence: `prompt` (inline YAML) > `HEARTBEAT_PROMPT` (env var) > `promptFile` (file) > built-in default.
| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `features.heartbeat.skipRecentUserMin` | number | `5` | Skip auto-heartbeats for N minutes after a user message. Set `0` to disable. |
| `features.heartbeat.prompt` | string | _(none)_ | Custom heartbeat prompt text |
| `features.heartbeat.promptFile` | string | _(none)_ | Path to prompt file (relative to working dir) |
### Cron Jobs
```yaml
features:
cron: true
```
Enable scheduled tasks. See [Cron Setup](./cron-setup.md).
### Memory Filesystem (memfs)
Memory filesystem (also known as **Context Repositories**) syncs your agent's memory blocks to local files in a git-backed directory. This enables:
- **Persistent local memory**: Memory blocks are synced to `~/.letta/agents/<agent-id>/memory/` as Markdown files
- **Git versioning**: Every change to memory is automatically versioned with informative commit messages
- **Direct editing**: Memory files can be edited with standard tools and synced back to the agent
- **Multi-agent collaboration**: Subagents can work in git worktrees and merge changes back
```yaml
features:
memfs: true
```
When `memfs` is enabled, the SDK passes `--memfs` to the Letta Code CLI on each session. When set to `false`, `--no-memfs` is passed to explicitly disable it. When omitted (default), the agent's existing memfs setting is left unchanged.
You can also enable memfs via environment variable (only `true` and `false` are recognized):
```bash
LETTABOT_MEMFS=true npm start
```
| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `features.memfs` | boolean | _(undefined)_ | Enable/disable memory filesystem. `true` enables, `false` disables, omit to leave unchanged. |
#### Known Limitations
- **Headless conflict resolution** ([letta-ai/letta-code#808](https://github.com/letta-ai/letta-code/issues/808)): If memory filesystem sync conflicts exist, the CLI exits with code 1 in headless mode (which is how lettabot runs). There is currently no way to resolve conflicts programmatically. **Workaround**: Run the agent interactively first (`letta --agent <agent-id>`) to resolve conflicts, then restart lettabot.
- **Windows paths** ([letta-ai/letta-code#914](https://github.com/letta-ai/letta-code/issues/914)): Path separator issues on Windows have been fixed in Letta Code, but ensure you're on the latest version.
For more details, see the [Letta Code memory documentation](https://docs.letta.com/letta-code/memory/) and the [Context Repositories blog post](https://www.letta.com/blog/context-repositories).
### No-Reply (Opt-Out)
The agent can choose not to respond to a message by sending exactly:
```
<no-reply/>
```
When the bot receives this marker, it suppresses the response and nothing is sent to the channel. This is useful in group chats where the agent shouldn't reply to every message.
The agent is taught about this behavior in two places:
- **System prompt**: A "Choosing Not to Reply" section explains when to use it (messages not directed at the agent, simple acknowledgments, conversations between other users, etc.)
- **Message envelope**: Group messages include a hint reminding the agent of the `<no-reply/>` option. DMs do not include this hint.
The bot also handles this gracefully during streaming -- it holds back partial output while the response could still become `<no-reply/>`, so users never see a partial match leak through.
## Polling Configuration
Background polling for integrations like Gmail. Runs independently of agent cron jobs.
```yaml
polling:
enabled: true # Master switch (default: auto-detected from sub-configs)
intervalMs: 60000 # Check every 60 seconds (default: 60000)
gmail:
enabled: true
accounts: # Gmail accounts to poll
- user@example.com
- other@example.com
```
| Option | Type | Default | Description |
|--------|------|---------|-------------|
| `polling.enabled` | boolean | auto | Master switch. Defaults to `true` if any sub-config is enabled |
| `polling.intervalMs` | number | `60000` | Polling interval in milliseconds |
| `polling.gmail.enabled` | boolean | auto | Enable Gmail polling. Auto-detected from `account` or `accounts` |
| `polling.gmail.account` | string | - | Gmail account to poll for unread messages |
| `polling.gmail.accounts` | string[] | - | Gmail accounts to poll for unread messages |
### Legacy config path
For backward compatibility, Gmail polling can also be configured under `integrations.google`:
```yaml
integrations:
google:
enabled: true
accounts:
- account: user@example.com
services: [gmail, calendar]
pollIntervalSec: 60
```
The top-level `polling` section takes priority if both are present.
### Environment variable fallback
| Env Variable | Polling Config Equivalent |
|--------------|--------------------------|
| `GMAIL_ACCOUNT` | `polling.gmail.account` (comma-separated list allowed) |
| `POLLING_INTERVAL_MS` | `polling.intervalMs` |
| `PORT` | `server.api.port` |
| `API_HOST` | `server.api.host` |
| `API_CORS_ORIGIN` | `server.api.corsOrigin` |
## Transcription Configuration
Voice message transcription via OpenAI Whisper:
```yaml
transcription:
provider: openai
apiKey: sk-... # Optional: uses OPENAI_API_KEY env var
model: whisper-1 # Default
```
## Attachments Configuration
```yaml
attachments:
maxMB: 20 # Max file size to download (default: 20)
maxAgeDays: 14 # Auto-delete after N days (default: 14)
```
Attachments are stored in `/tmp/lettabot/attachments/`.
## API Server Configuration
The built-in API server provides health checks, CLI messaging, and a chat endpoint for programmatic agent access.
Configure it under `server.api:` in your `lettabot.yaml`:
```yaml
server:
mode: docker
baseUrl: http://localhost:8283
api:
port: 9090 # Default: 8080
host: 0.0.0.0 # Default: 127.0.0.1 (localhost only)
corsOrigin: "*" # Default: same-origin only
```
| Option | Type | Default | Description |
|--------|------|---------|-------------|
| `server.api.port` | number | `8080` | Port for the API/health server |
| `server.api.host` | string | `127.0.0.1` | Bind address. Use `0.0.0.0` for Docker/Railway |
| `server.api.corsOrigin` | string | _(none)_ | CORS origin header for cross-origin access |
> **Note:** Top-level `api:` is still accepted for backward compatibility but deprecated. Move it under `server:` to avoid warnings.
### Chat Endpoint
Send messages to a lettabot agent and get responses via HTTP. Useful for integrating
with other services, server-side tools, webhooks, or custom frontends.
**Synchronous** (default):
```bash
curl -X POST http://localhost:8080/api/v1/chat \
-H "Content-Type: application/json" \
-H "X-Api-Key: YOUR_API_KEY" \
-d '{"message": "What is on my todo list?"}'
```
Response:
```json
{
"success": true,
"response": "Here are your current tasks...",
"agentName": "LettaBot"
}
```
**Streaming** (SSE):
```bash
curl -N -X POST http://localhost:8080/api/v1/chat \
-H "Content-Type: application/json" \
-H "Accept: text/event-stream" \
-H "X-Api-Key: YOUR_API_KEY" \
-d '{"message": "What is on my todo list?"}'
```
Each SSE event is a JSON object with a `type` field:
| Event type | Description |
|------------|-------------|
| `reasoning` | Model thinking/reasoning tokens |
| `assistant` | Response text (may arrive in multiple chunks) |
| `tool_call` | Agent is calling a tool (`toolName`, `toolCallId`) |
| `tool_result` | Tool execution result (`content`, `isError`) |
| `result` | End of stream (`success`, optional `error`) |
Example stream:
```
data: {"type":"reasoning","content":"Let me check..."}
data: {"type":"assistant","content":"Here are your "}
data: {"type":"assistant","content":"current tasks."}
data: {"type":"result","success":true}
```
**Request fields:**
| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `message` | string | Yes | The message to send to the agent |
| `agent` | string | No | Agent name (defaults to first configured agent) |
**Authentication:** All requests require the `X-Api-Key` header. The API key is auto-generated on first run and saved to `lettabot-api.json`, or set via `LETTABOT_API_KEY` env var.
**Multi-agent:** In multi-agent configs, use the `agent` field to target a specific agent by name. Omit it to use the first agent. A 404 is returned if the agent name doesn't match any configured agent.
## Environment Variables
Environment variables override config file values:
| Env Variable | Config Equivalent |
|--------------|-------------------|
| `LETTABOT_CONFIG` | Path to config file (overrides search order) |
| `LETTA_API_KEY` | `server.apiKey` |
| `LETTA_BASE_URL` | `server.baseUrl` |
| `LETTA_AGENT_ID` | `agent.id` |
| `LETTA_AGENT_NAME` | `agent.name` |
| `AGENT_NAME` | `agent.name` (legacy alias) |
| `TELEGRAM_BOT_TOKEN` | `channels.telegram.token` |
| `TELEGRAM_DM_POLICY` | `channels.telegram.dmPolicy` |
| `SLACK_BOT_TOKEN` | `channels.slack.botToken` |
| `SLACK_APP_TOKEN` | `channels.slack.appToken` |
| `DISCORD_BOT_TOKEN` | `channels.discord.token` |
| `WHATSAPP_ENABLED` | `channels.whatsapp.enabled` |
| `WHATSAPP_SELF_CHAT_MODE` | `channels.whatsapp.selfChat` |
| `SIGNAL_PHONE_NUMBER` | `channels.signal.phone` |
| `OPENAI_API_KEY` | `transcription.apiKey` |
| `GMAIL_ACCOUNT` | `polling.gmail.account` (comma-separated list allowed) |
| `POLLING_INTERVAL_MS` | `polling.intervalMs` |
See [SKILL.md](../SKILL.md) for complete environment variable reference.