Odoo

An OpenClaw channel plugin that wires OpenClaw agents into Odoo. Any Odoo event — a button click, a chat input, a cron — can hand off to an agent, and the agent's output can flow back into Odoo as a chatter message, a newly created record, a field update, or anything else callable via XML-RPC.

• 🪝 Inbound: any Odoo trigger → agent (auth'd, deduped, debounced)
• 📤 Outbound: agent output → any Odoo method, configurable per model
• 🔍 Tool: odoo_search_read — the agent reads Odoo data on demand
• 🎯 Per-model routing: different methods, agents, prompts per Odoo record type

Heads up — the plugin is one half of the integration. You also need a small Odoo-side addon (an HTTP controller that POSTs to the webhook, and the method(s) the plugin calls back into). See the Odoo-side setup section of the configuration guide for a copy-paste minimal example.

Quick start

Install via OpenClaw:

openclaw plugins install openclaw-channel-odoo

Minimal openclaw.json:

{
  "channels": {
    "odoo": {
      "url": "https://myodoo.com",
      "db": "mydb",
      "uid": 2,
      "password": "<api-key>",
      "webhookSecret": "<shared-bearer-token>",
      "webhookPath": "/openclaw/inbound",

      // Optional inbox tunables (defaults shown):
      //   debounceMs:     window after the first inbound msg before
      //                   flushing the batch to the agent. Range [0, 60000].
      //   agentTimeoutMs: hard cap on one dispatch attempt (agent run +
      //                   delivery). Also the staleness boundary used by
      //                   boot recovery. Range [30000, 3600000].
      "debounceMs": 3000,
      "agentTimeoutMs": 900000,

      "routes": [
        {
          "match": "*",
          "reply": {
            "method": "message_post",
            "kwargs": {
              "body": "$body",
              "message_type": "comment"
            }
          }
        }
      ]
    }
  }
}

With the minimal Odoo-side controller (shown in the configuration guide), this config routes every inbound message through your agent and posts the reply back to the triggering record's chatter. No custom Odoo methods needed — message_post is built in.

For per-model routing, agent overrides, custom reply methods, and the variable system — see the configuration guide.

How it works

┌──────────────┐   webhook   ┌─────────┐   dispatch   ┌───────┐
│  Odoo action │ ──────────► │  Plugin │ ───────────► │ Agent │
└──────────────┘             └─────────┘              └───────┘
       ▲                          │
       │    XML-RPC execute_kw    │
       └──────────────────────────┘

1. Something happens in Odoo — a button press, a chat input, a workflow event
2. Your Odoo-side controller POSTs the trigger to the plugin's webhook (Bearer-auth'd)
3. Plugin routes the message to an agent (optionally per-model)
4. Agent does its thing and produces output; plugin calls back into Odoo via the method configured for that model

Documentation

• 📖 Configuration guide — Odoo-side setup, routes, matching, the variable system, worked examples, validation errors
• 🐛 Issues — bug reports and feature requests
• 📋 Changelog — version history

Telemetry

The plugin emits structured OTEL events at lifecycle transitions via openclaw's diagnostic-events SDK. When @openclaw/otel-diagnostics is installed and configured, these flow to your OTLP backend automatically:

Dependencies:

• Telemetry is auto-collected by @openclaw/otel-diagnostics — install it and set config.diagnostics.otel.endpoint to ship events to your OTLP backend.
• The plugin is safe to run without @openclaw/otel-diagnostics — the helpers are no-ops when no event listener is registered. No crash, no extra log noise on the gateway.
• The inbox.failure structured log flows to OTEL only when config.diagnostics.otel.logs = true in the otel-diagnostics config (default OFF). Without this, the log line is still written to the gateway's local logs via diagnosticLogger.

Per-failure-class breakdown in Grafana. The reason field on message.processed{outcome=error} lives in span attributes (not metric labels). Query via TraceQL on a tracing backend (Tempo/Jaeger):

{ openclaw.outcome="error" } | count() by(openclaw.reason)

Two distinct reason values are emitted: cap_exhausted:<failureClass> (scheduler, when retries are exhausted) and ttl_expired (boot recovery, when a batch sat on disk longer than the 1-hour TTL).

License

MIT · © Monday Merch B.V.