Configuration

Broadcast groups

Overview

Broadcast Groups enable multiple agents to process and respond to the same message simultaneously. This allows you to create specialized agent teams that work together in a single WhatsApp group or DM — all using one phone number.

Current scope: WhatsApp only (web channel).

Broadcast groups are evaluated after channel allowlists and group activation rules. In WhatsApp groups, this means broadcasts happen when OpenClaw would normally reply (for example: on mention, depending on your group settings).

Use cases

1. Specialized agent teams

Deploy multiple agents with atomic, focused responsibilities:

Group: "Development Team"
Agents:
  - CodeReviewer (reviews code snippets)
  - DocumentationBot (generates docs)
  - SecurityAuditor (checks for vulnerabilities)
  - TestGenerator (suggests test cases)

Each agent processes the same message and provides its specialized perspective.

2. Multi-language support
Group: "International Support"
Agents:
  - Agent_EN (responds in English)
  - Agent_DE (responds in German)
  - Agent_ES (responds in Spanish)
3. Quality assurance workflows
Group: "Customer Support"
Agents:
  - SupportAgent (provides answer)
  - QAAgent (reviews quality, only responds if issues found)
4. Task automation
Group: "Project Management"
Agents:
  - TaskTracker (updates task database)
  - TimeLogger (logs time spent)
  - ReportGenerator (creates summaries)

Configuration

Basic setup

Add a top-level broadcast section (next to bindings). Keys are WhatsApp peer ids:

  • group chats: group JID (e.g. [email protected])
  • DMs: E.164 phone number (e.g. +15551234567)
{
  "broadcast": {
    "[email protected]": ["alfred", "baerbel", "assistant3"]
  }
}

Result: When OpenClaw would reply in this chat, it will run all three agents.

Processing strategy

Control how agents process messages:

parallel (default)

All agents process simultaneously:

{
  "broadcast": {
    "strategy": "parallel",
    "[email protected]": ["alfred", "baerbel"]
  }
}

sequential

Agents process in order (one waits for previous to finish):

{
  "broadcast": {
    "strategy": "sequential",
    "[email protected]": ["alfred", "baerbel"]
  }
}

Complete example

{
  "agents": {
    "list": [
      {
        "id": "code-reviewer",
        "name": "Code Reviewer",
        "workspace": "/path/to/code-reviewer",
        "sandbox": { "mode": "all" }
      },
      {
        "id": "security-auditor",
        "name": "Security Auditor",
        "workspace": "/path/to/security-auditor",
        "sandbox": { "mode": "all" }
      },
      {
        "id": "docs-generator",
        "name": "Documentation Generator",
        "workspace": "/path/to/docs-generator",
        "sandbox": { "mode": "all" }
      }
    ]
  },
  "broadcast": {
    "strategy": "parallel",
    "[email protected]": ["code-reviewer", "security-auditor", "docs-generator"],
    "[email protected]": ["support-en", "support-de"],
    "+15555550123": ["assistant", "logger"]
  }
}

How it works

Message flow

  • Incoming message arrives

    A WhatsApp group or DM message arrives.

  • Broadcast check

    System checks if peer ID is in broadcast.

  • If in broadcast list

    • All listed agents process the message.
    • Each agent has its own session key and isolated context.
    • Agents process in parallel (default) or sequentially.
  • If not in broadcast list

    Normal routing applies (first matching binding).

  • Session isolation

    Each agent in a broadcast group maintains completely separate:

    • Session keys (agent:alfred:whatsapp:group:120363... vs agent:baerbel:whatsapp:group:120363...)
    • Conversation history (agent doesn't see other agents' messages)
    • Workspace (separate sandboxes if configured)
    • Tool access (different allow/deny lists)
    • Memory/context (separate IDENTITY.md, SOUL.md, etc.)
    • Group context buffer (recent group messages used for context) is shared per peer, so all broadcast agents see the same context when triggered

    This allows each agent to have:

    • Different personalities
    • Different tool access (e.g., read-only vs. read-write)
    • Different models (e.g., opus vs. sonnet)
    • Different skills installed

    Example: isolated sessions

    In group [email protected] with agents ["alfred", "baerbel"]:

    Alfred's context

    Session: agent:alfred:whatsapp:group:[email protected]
    History: [user message, alfred's previous responses]
    Workspace: /Users/user/openclaw-alfred/
    Tools: read, write, exec
    

    Bärbel's context

    Session: agent:baerbel:whatsapp:group:[email protected]
    History: [user message, baerbel's previous responses]
    Workspace: /Users/user/openclaw-baerbel/
    Tools: read only
    

    Best practices

    1. Keep agents focused

    Design each agent with a single, clear responsibility:

    {
      "broadcast": {
        "DEV_GROUP": ["formatter", "linter", "tester"]
      }
    }
    

    Good: Each agent has one job. ❌ Bad: One generic "dev-helper" agent.

    2. Use descriptive names

    Make it clear what each agent does:

    {
      "agents": {
        "security-scanner": { "name": "Security Scanner" },
        "code-formatter": { "name": "Code Formatter" },
        "test-generator": { "name": "Test Generator" }
      }
    }
    
    3. Configure different tool access

    Give agents only the tools they need:

    {
      "agents": {
        "reviewer": {
          "tools": { "allow": ["read", "exec"] }
        },
        "fixer": {
          "tools": { "allow": ["read", "write", "edit", "exec"] }
        }
      }
    }
    

    reviewer is read-only. fixer can read and write.

    4. Monitor performance

    With many agents, consider:

    • Using "strategy": "parallel" (default) for speed
    • Limiting broadcast groups to 5-10 agents
    • Using faster models for simpler agents
    5. Handle failures gracefully

    Agents fail independently. One agent's error doesn't block others:

    Message → [Agent A ✓, Agent B ✗ error, Agent C ✓]
    Result: Agent A and C respond, Agent B logs error
    

    Compatibility

    Providers

    Broadcast groups currently work with:

    • ✅ WhatsApp (implemented)
    • 🚧 Telegram (planned)
    • 🚧 Discord (planned)
    • 🚧 Slack (planned)

    Routing

    Broadcast groups work alongside existing routing:

    {
      "bindings": [
        {
          "match": { "channel": "whatsapp", "peer": { "kind": "group", "id": "GROUP_A" } },
          "agentId": "alfred"
        }
      ],
      "broadcast": {
        "GROUP_B": ["agent1", "agent2"]
      }
    }
    
    • GROUP_A: Only alfred responds (normal routing).
    • GROUP_B: agent1 AND agent2 respond (broadcast).

    Troubleshooting

    Agents not responding

    Check:

    1. Agent IDs exist in agents.list.
    2. Peer ID format is correct (e.g., [email protected]).
    3. Agents are not in deny lists.

    Debug:

    tail -f ~/.openclaw/logs/gateway.log | grep broadcast
    
    Only one agent responding

    Cause: Peer ID might be in bindings but not broadcast.

    Fix: Add to broadcast config or remove from bindings.

    Performance issues

    If slow with many agents:

    • Reduce number of agents per group.
    • Use lighter models (sonnet instead of opus).
    • Check sandbox startup time.

    Examples

    Example 1: Code review team
    {
      "broadcast": {
        "strategy": "parallel",
        "[email protected]": [
          "code-formatter",
          "security-scanner",
          "test-coverage",
          "docs-checker"
        ]
      },
      "agents": {
        "list": [
          {
            "id": "code-formatter",
            "workspace": "~/agents/formatter",
            "tools": { "allow": ["read", "write"] }
          },
          {
            "id": "security-scanner",
            "workspace": "~/agents/security",
            "tools": { "allow": ["read", "exec"] }
          },
          {
            "id": "test-coverage",
            "workspace": "~/agents/testing",
            "tools": { "allow": ["read", "exec"] }
          },
          { "id": "docs-checker", "workspace": "~/agents/docs", "tools": { "allow": ["read"] } }
        ]
      }
    }
    

    User sends: Code snippet.

    Responses:

    • code-formatter: "Fixed indentation and added type hints"
    • security-scanner: "⚠️ SQL injection vulnerability in line 12"
    • test-coverage: "Coverage is 45%, missing tests for error cases"
    • docs-checker: "Missing docstring for function process_data"
    Example 2: Multi-language support
    {
      "broadcast": {
        "strategy": "sequential",
        "+15555550123": ["detect-language", "translator-en", "translator-de"]
      },
      "agents": {
        "list": [
          { "id": "detect-language", "workspace": "~/agents/lang-detect" },
          { "id": "translator-en", "workspace": "~/agents/translate-en" },
          { "id": "translator-de", "workspace": "~/agents/translate-de" }
        ]
      }
    }
    

    API reference

    Config schema

    interface OpenClawConfig {
      broadcast?: {
        strategy?: "parallel" | "sequential";
        [peerId: string]: string[];
      };
    }
    

    Fields

    strategy"parallel" | "sequential"

    How to process agents. parallel runs all agents simultaneously; sequential runs them in array order.

    [peerId]string[]

    WhatsApp group JID, E.164 number, or other peer ID. Value is the array of agent IDs that should process messages.

    Limitations

    1. Max agents: No hard limit, but 10+ agents may be slow.
    2. Shared context: Agents don't see each other's responses (by design).
    3. Message ordering: Parallel responses may arrive in any order.
    4. Rate limits: All agents count toward WhatsApp rate limits.

    Future enhancements

    Planned features:

    • [ ] Shared context mode (agents see each other's responses)
    • [ ] Agent coordination (agents can signal each other)
    • [ ] Dynamic agent selection (choose agents based on message content)
    • [ ] Agent priorities (some agents respond before others)