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sidebar_position: 30 title: "Chatto"

description: "Set up Hermes Agent as a Chatto bot"

Chatto Setup

Hermes Agent integrates with Chatto, a self-hosted team chat server. The adapter uses the chattolib library for all API interactions, including WebSocket realtime connections for inbound message delivery and ConnectRPC over HTTP for outbound messages. It processes messages through the Hermes Agent pipeline (including tool use, memory, and reasoning) and responds in real time. It supports text, markdown, threads, reactions, file attachments, typing indicators, and more.

The only external dependency is chattolib[realtime]>=0.4.19.

Before setup, here's the part most people want to know: how Hermes behaves once it's in your Chatto instance.

How Hermes Behaves

Context Behavior
DMs Hermes responds to every message. No @mention needed. Each DM has its own session.
Rooms Hermes responds when you @mention it. Without a mention, Hermes ignores the message (configurable via CHATTO_REQUIRE_MENTION).
Threads Hermes supports thread/reply chains. If you reply in a thread, Hermes keeps the thread context isolated from the parent room. The bot auto-follows threads it participates in.
Processing indicators Hermes adds a 👀 reaction when it starts processing a message, and replaces it with ✅ on success or ❌ on failure.
Typing indicators Hermes broadcasts persistent typing indicators while it's working, so users know the bot is active.
Message batching Long responses (>10000 chars) are automatically split into multiple messages.

:::tip If you want Hermes to respond to all messages in a room without requiring an @mention, set CHATTO_REQUIRE_MENTION=false. DMs always get a response regardless of this setting. :::

Capability Matrix

Capability Chatto
text yes
markdown yes
threads yes
reactions yes
message editing yes
message deletion yes
typing indicators yes
processing notifications yes (👀/✅/❌)
file attachments yes (chunked upload)
DM initiation yes
room creation yes
member directory yes (cached)
presence broadcasting yes (online/away)
custom status yes
read state management yes
auto-reconnect yes

Prerequisites

  1. A running Chatto server — self-hosted and accessible from the Hermes host. See the Chatto repository for installation instructions.
  2. A Chatto user account — the adapter logs in with a username and password. Create a dedicated account for the bot (e.g., hermes).
  3. Room membership — the bot account must be a member of any room where you want it to respond. The adapter auto-joins rooms specified in CHATTO_CHANNELS. For DMs, simply start a direct message with the bot.
  4. Network access — the Hermes host must reach the Chatto server URL over HTTPS (or HTTP) and establish a WebSocket connection to /api/realtime.

:::info The adapter uses WebSocket protocol v1 (compatible with Chatto v0.4.19+). Ensure your Chatto server is up to date. :::

Installation

The Chatto adapter is a platform plugin. It lives at:

~/.hermes/plugins/platforms/chatto/

Option A: Plugin Install (Recommended)

If the plugin is available in a plugin registry:

hermes plugins install chatto-platform

Option B: Manual Installation

Copy the plugin files to the correct location:

mkdir -p ~/.hermes/plugins/platforms/chatto
cp -r chatto-plugin/* ~/.hermes/plugins/platforms/chatto/

The plugin directory should contain:

~/.hermes/plugins/platforms/chatto/
├── __init__.py
├── adapter.py          # Main adapter (uses chattolib)
├── plugin.yaml         # Plugin manifest (env var definitions)
└── test_adapter.py     # Unit tests

Hermes auto-discovers platform plugins on gateway startup. No manual registration is needed.

Configuration

Option A: Interactive Setup (Recommended)

Run the guided setup command:

hermes gateway setup

Select Chatto when prompted, then provide your server URL, login, and password when asked.

Option B: Manual Configuration

Add the following to your ~/.hermes/.env file:

# Required
CHATTO_URL=https://chat.example.com
CHATTO_LOGIN=hermes
CHATTO_PASSWORD=your-password

# Optional: restrict to specific rooms (comma-separated room IDs)
# CHATTO_CHANNELS=REljMv5Pgolo6Y9,abc123def456

# Optional: home channel for cron/notification delivery
# CHATTO_HOME_CHANNEL=REljMv5Pgolo6Y9

# Optional: restrict who can talk to the bot (comma-separated logins)
# CHATTO_ALLOWED_USERS=alice,bob

# Optional: allow any user to talk to the bot (default: false)
# CHATTO_ALLOW_ALL_USERS=true

# Optional: require @mention in rooms (default: true). DMs always respond.
# CHATTO_REQUIRE_MENTION=true

Or configure via ~/.hermes/config.yaml:

gateway:
  platforms:
    chatto:
      enabled: true
      extra:
        url: https://chat.example.com
        channels:                  # room IDs to watch (empty = all joined)
          - REljMv5Pgolo6Y9
        home_channel: REljMv5Pgolo6Y9
        require_mention: true      # only respond to @mentions in rooms
        allowed_users: []          # empty = allow all (or set allow_all_users)
        allow_all_users: true

:::note Environment variables override config.yaml values. Secrets (CHATTO_PASSWORD) should always go in ~/.hermes/.env, not in config.yaml. :::

Environment Variables

Variable Required Default Description
CHATTO_URL Yes — Base URL of the Chatto server (e.g., https://chat.example.com)
CHATTO_LOGIN Yes — Chatto username (login)
CHATTO_PASSWORD Yes — Chatto password
CHATTO_CHANNELS No All joined rooms Comma-separated room IDs to watch
CHATTO_HOME_CHANNEL No First watched room Room ID for cron/notification delivery
CHATTO_ALLOWED_USERS No (deny all) Comma-separated Chatto logins allowed to talk to the agent
CHATTO_ALLOW_ALL_USERS No false Allow any Chatto user to talk to the agent (true/false)
CHATTO_REQUIRE_MENTION No true Only respond to @mentions in rooms. DMs always get a response.

Start the Gateway

Once configured, start the gateway:

hermes gateway

The bot should connect to your Chatto server within a few seconds. Send it a message — either a DM or @mention it in a room — to test.

:::tip You can run hermes gateway in the background or as a systemd service for persistent operation. See the deployment docs for details. :::

Features

Realtime Connection

The adapter uses chattolib to maintain a persistent WebSocket connection to the Chatto server for realtime event delivery. Inbound events — including room messages, mention notifications, and DM notifications — are handled through chattolib's event streaming API.

Key features:

  • Automatic connection management — chattolib handles authentication, reconnection, and session resilience.
  • Event streaming — all realtime events are processed through chattolib's unified event API.
  • Auto-reconnect — chattolib automatically reconnects with exponential backoff and resumes from the last cursor.

ConnectRPC API (Outbound)

All outbound actions — sending messages, reactions, typing indicators, file uploads, etc. — use chattolib's high-level API methods, which handle ConnectRPC calls over HTTP with authentication and error recovery automatically.

Markdown Support

Hermes sends messages with full Markdown formatting. Chatto renders Markdown in its web UI, so code blocks, lists, bold/italic, links, and inline code all display correctly.

Thread / Reply Support

When you reply to a message in Chatto (creating a thread), Hermes responds within that thread. Thread context stays isolated from the parent room — each thread has its own session namespace. The bot also auto-follows threads it participates in, so it continues to receive new messages in that thread.

Reactions

Hermes uses emoji reactions for processing lifecycle notifications:

  • 👀 — added when the agent starts processing your message
  • ✅ — replaces 👀 when processing completes successfully
  • ❌ — replaces 👀 when processing fails

The adapter converts Unicode emoji to Chatto shortcode names internally (e.g., 👀 → eyes, ✅ → white_check_mark). Reactions can also be added/removed programmatically by the agent.

Message Editing and Deletion

The adapter supports editing existing messages (via chattolib's update_message) and deleting them (via chattolib's delete_message). This is used for updating processing indicators and can be used by the agent to correct or retract messages.

Typing Indicators

The adapter broadcasts persistent typing indicators to rooms while the agent is working. This uses chattolib's update_typing_indicator method and runs as a background task per room, refreshing the indicator until the response is sent.

Message Batching and Splitting

  • Splitting: Messages longer than 10000 characters are automatically split into multiple sequential messages (split threshold: 9900 chars to leave room for separators).
  • Batching: Rapid successive outbound messages to the same room are merged into a single message with a 0.6-second batch delay, reducing noise in busy rooms.

Chunked File / Attachment Upload

File attachments are uploaded via chattolib's chunked upload API:

  1. create_upload — initiates an upload session
  2. upload_chunk — uploads the file in 256 KB chunks
  3. complete_upload — finalizes the upload and attaches it to the message

This supports files of any size, streamed in chunks to avoid memory issues.

Liveness Probe and Auto-Reconnect

A background liveness probe checks the connection health every 60 seconds. After 3 consecutive failures, the adapter triggers a full reconnect — re-login, room discovery, and WebSocket reconnection with resume cursor support.

Read State Management

After processing messages in a room, the adapter marks the room as read via MarkRoomAsRead. Thread read state is also managed via MarkThreadAsRead, so the bot's unread indicators stay accurate.

DM Initiation

The adapter can proactively start direct messages with other Chatto users via the StartDM RPC endpoint. This is used for cron job delivery and notifications when no home channel is configured.

Room Creation

The adapter can create new rooms via CreateRoom. This is available to the agent for organizing conversations or creating dedicated channels for tasks.

Notification Dismissal

After processing mentions and DMs, the adapter dismisses the corresponding Chatto notifications via DismissNotification / DismissAllNotifications, keeping the bot's notification queue clean.

Member Directory

The adapter maintains a cached member directory using ListUsers, GetUser, and BatchGetUsers endpoints. User lookups (for mention resolution, display names, etc.) are cached per user ID to reduce API calls.

Presence Broadcasting

The adapter can broadcast presence status (online, away, do-not-disturb) via UpdatePresence. On startup, the bot sets itself to online. Status can be changed programmatically.

Presence Status API Value
Online 1
Away 2
Do Not Disturb 3

Custom Status Messages

The adapter supports setting and clearing custom status messages via UpdateCustomStatus / DeleteCustomStatus. This can be used to show "Processing…" or other contextual status indicators in the Chatto UI.

Usage Notes

Mention Detection

In rooms with CHATTO_REQUIRE_MENTION=true (default), Hermes only responds when the message contains an @mention of the bot's login name. The mention is automatically stripped from the message before processing. In DMs, every message gets a response — no mention required.

Allowed Users

By default, if neither CHATTO_ALLOWED_USERS nor CHATTO_ALLOW_ALL_USERS is set, the bot denies all users as a safety measure. Configure one of:

  • CHATTO_ALLOWED_USERS=alice,bob — only these Chatto logins can interact with the bot
  • CHATTO_ALLOW_ALL_USERS=true — any Chatto user can interact

:::warning Setting CHATTO_ALLOW_ALL_USERS=true means any user on your Chatto server has full access to the agent's capabilities, including tool use and system access. Use this only on trusted, private Chatto instances. :::

Home Channel

The home channel is where the bot sends proactive messages — cron job output, reminders, and notifications. Set it via:

  • CHATTO_HOME_CHANNEL env var (room ID)
  • config.yaml → gateway.platforms.chatto.extra.home_channel
  • /sethome slash command in any room where the bot is present

If unset, the first watched room is used as the default home channel.

Thread Auto-Following

When Hermes responds in a thread, it automatically follows that thread. This means it continues to receive all new messages in the thread, even if not explicitly @mentioned — similar to how a human user would follow a conversation they've joined.

Troubleshooting

Bot is not responding to messages

Cause: The bot account is not a member of the room, or the user is not in CHATTO_ALLOWED_USERS.

Fix: Verify the bot is a member of the room (the adapter auto-joins rooms listed in CHATTO_CHANNELS). Check that your Chatto login is in CHATTO_ALLOWED_USERS, or set CHATTO_ALLOW_ALL_USERS=true. Restart the gateway.

Connection refused / WebSocket fails to connect

Cause: The Chatto server is unreachable, or the URL is incorrect.

Fix: Verify CHATTO_URL points to your Chatto server (include https://, no trailing slash). Test connectivity:

curl -s -o /dev/null -w "%{http_code}" https://chat.example.com/api/connect/chatto.api.v1.ViewerService/GetViewer

If you use a reverse proxy (nginx, Apache), ensure WebSocket upgrade headers are configured for /api/realtime:

location /api/realtime {
    proxy_pass http://chatto-backend;
    proxy_set_header Upgrade $http_upgrade;
    proxy_set_header Connection "upgrade";
    proxy_read_timeout 600s;
}

Authentication failed

Cause: The CHATTO_LOGIN or CHATTO_PASSWORD is incorrect.

Fix: Verify credentials by testing the login endpoint directly:

curl -X POST https://chat.example.com/auth/login \
  -H "Content-Type: application/json" \
  -d '{"login":"hermes","password":"your-password"}'

If the response does not include a token field, the credentials are wrong. Reset the bot account password in Chatto and update ~/.hermes/.env.

Protocol version mismatch

Cause: The Chatto server is running an older version that doesn't support realtime protocol v1.

Fix: The adapter uses protocol v1, supported by Chatto v0.4.19 and later. Upgrade your Chatto server:

# Check your Chatto server version
curl -s https://chat.example.com/api/version | jq .

If you see a RealtimeError with a protocol-related message in the logs, upgrading the server is the fix.

WebSocket disconnects / reconnection loops

Cause: Network instability, Chatto server restarts, or firewall/proxy issues with WebSocket connections.

Fix: The adapter automatically reconnects with exponential backoff (1s → 30s max) and resumes from the last cursor. Check:

  1. Your server's WebSocket configuration — reverse proxies need upgrade headers (see above).
  2. No firewall is blocking WebSocket connections on your Chatto server.
  3. The Chatto server is running and healthy.

Check gateway logs for details:

grep -i "chatto\|websocket\|realtime" ~/.hermes/logs/gateway.log | tail -30

"No rooms to watch" on startup

Cause: CHATTO_CHANNELS is not set and the bot account hasn't joined any rooms.

Fix: Either join rooms with the bot account first, or set CHATTO_CHANNELS to specific room IDs. The adapter will auto-join rooms listed in CHATTO_CHANNELS.

401 Unauthorized during operation

Cause: The bearer token expired during a session.

Fix: The adapter automatically re-logs in on 401 responses. If this fails repeatedly, check that the bot account hasn't been deactivated and the password hasn't changed. If the password was changed, update CHATTO_PASSWORD in ~/.hermes/.env and restart the gateway.

Bot is offline

Cause: The Hermes gateway isn't running, or it failed to connect.

Fix: Check that hermes gateway is running. Look at the terminal output or gateway logs for error messages. Common issues: wrong URL, expired credentials, Chatto server unreachable. Run hermes status to check component health.

Security

:::warning Always set CHATTO_ALLOWED_USERS to restrict who can interact with the bot. Without it (and without CHATTO_ALLOW_ALL_USERS=true), the gateway denies all users by default as a safety measure. Only add logins of people you trust — authorized users have full access to the agent's capabilities, including tool use and system access. :::

For more information on securing your Hermes Agent deployment, see the Security Guide.

Notes

  • Self-hosted friendly: Works with any self-hosted Chatto instance. No cloud account or subscription required.
  • Minimal dependencies: Only requires chattolib[realtime]>=0.4.19.
  • Resume cursor support: On reconnect, the adapter resumes from the last event cursor, so no messages are lost or replayed during transient disconnects.