Preparing Archive
odoo-rpc-api
Expert on Odoo's external JSON-RPC and XML-RPC APIs. Covers authentication, model calls, record CRUD, and real-world integration examples in Python, JavaScript, and curl.
Architectural Overview
"This module is grounded in ai engineering patterns and exposes 1 core capabilities across 1 execution phases."
Odoo RPC API
Overview
Odoo exposes a powerful external API via JSON-RPC and XML-RPC, allowing any external application to read, create, update, and delete records. This skill guides you through authenticating, calling models, and building robust integrations.
When to Use This Skill
- Connecting an external app (e.g., Django, Node.js, a mobile app) to Odoo.
- Running automated scripts to import/export data from Odoo.
- Building a middleware layer between Odoo and a third-party platform.
- Debugging API authentication or permission errors.
How It Works
- Activate: Mention
@odoo-rpc-apiand describe the integration you need. - Generate: Get copy-paste ready RPC call code in Python, JavaScript, or curl.
- Debug: Paste an error and get a diagnosis with a corrected call.
Examples
Example 1: Authenticate and Read Records (Python)
import xmlrpc.client
url = 'https://myodoo.example.com'
db = 'my_database'
username = 'admin'
password = 'my_api_key' # Use API keys, not passwords, in production
# Step 1: Authenticate
common = xmlrpc.client.ServerProxy(f'{url}/xmlrpc/2/common')
uid = common.authenticate(db, username, password, {})
print(f"Authenticated as UID: {uid}")
# Step 2: Call models
models = xmlrpc.client.ServerProxy(f'{url}/xmlrpc/2/object')
# Search confirmed sale orders
orders = models.execute_kw(db, uid, password,
'sale.order', 'search_read',
[[['state', '=', 'sale']]],
{'fields': ['name', 'partner_id', 'amount_total'], 'limit': 10}
)
for order in orders:
print(order)
Example 2: Create a Record (Python)
new_partner_id = models.execute_kw(db, uid, password,
'res.partner', 'create',
[{'name': 'Acme Corp', 'email': 'info@acme.com', 'is_company': True}]
)
print(f"Created partner ID: {new_partner_id}")
Example 3: JSON-RPC via curl
curl -X POST https://myodoo.example.com/web/dataset/call_kw \
-H "Content-Type: application/json" \
-d '{
"jsonrpc": "2.0",
"method": "call",
"id": 1,
"params": {
"model": "res.partner",
"method": "search_read",
"args": [[["is_company", "=", true]]],
"kwargs": {"fields": ["name", "email"], "limit": 5}
}
}'
# Note: "id" is required by the JSON-RPC 2.0 spec to correlate responses.
# Odoo 16+ also supports the /web/dataset/call_kw endpoint but
# prefer /web/dataset/call_kw for model method calls.
Best Practices
- ✅ Do: Use API Keys (Settings → Technical → API Keys) instead of passwords — available from Odoo 14+.
- ✅ Do: Use
search_readinstead ofsearch+readto reduce network round trips. - ✅ Do: Always handle connection errors and implement retry logic with exponential backoff in production.
- ✅ Do: Store credentials in environment variables or a secrets manager (e.g., AWS Secrets Manager,
.envfile). - ❌ Don't: Hardcode passwords or API keys directly in scripts — rotate them and use env vars.
- ❌ Don't: Call the API in a tight loop without batching — bulk operations reduce server load significantly.
- ❌ Don't: Use the master admin password for API integrations — create a dedicated integration user with minimum required permissions.
Limitations
- Does not cover OAuth2 or session-cookie-based authentication — the examples use API key (token) auth only.
- Rate limiting is not built into the Odoo XMLRPC layer; you must implement throttling client-side.
- The XML-RPC endpoint (
/xmlrpc/2/) does not support file uploads — use the REST-basedir.attachmentmodel via JSON-RPC for binary data. - Odoo.sh (SaaS) may block some API calls depending on plan; verify your subscription supports external API access.
Primary Stack
Python
Tooling Surface
Guide only
Workspace Path
.agents/skills/odoo-rpc-api
Operational Ecosystem
The complete hardware and software toolchain required.
Module Topology
Antigravity Core
Principal Engineering Agent
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