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AI Infrastructure

Build
Intelligent
Agents

Design, deploy, and orchestrate autonomous AI agents directly within your Odoo ecosystem. Full lifecycle management from prototype to production.

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98.7% Agent Uptime
80ms Response Latency
50+ Native Integrations
∞ Concurrent Agents
Everything to build
production-grade agents
01
🧠
LLM Orchestration

Connect to any large language model β€” GPT-4, Claude, Gemini, Llama, or custom fine-tuned models. Unified API with automatic fallback routing.

02
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Tool and Function Calling

Equip your agents with callable tools: web search, database queries, email dispatch, calendar access, and any custom Odoo module action.

03
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Memory Management

Short-term and long-term memory layers. Vector store integration for semantic recall. Per-session and cross-session persistence built in.

04
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Multi-Agent Workflow

Compose agent pipelines with supervisor and worker patterns. Parallel and sequential task execution with shared state management.

05
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Observability and Traces

Full execution tracing with step-by-step replay. Latency breakdowns, cost tracking, and performance dashboards in the Odoo backend.

06
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Safety and Guardrails

Input/output content filters, action whitelisting, rate limiting, and human-in-the-loop approval flows for high-stakes operations.

From idea to
autonomous agent
01
Define

Set agent goals, persona, and constraints in a simple YAML configuration

02
Equip

Attach tools, connect data sources, and configure memory backends

03
Test

Run simulations with trace visualizer and unit test your agent logic

04
Deploy

Push to production with one click; auto-scaling handles the rest

05
Monitor

Live dashboards, anomaly alerts, and continuous improvement loops

Minimal code.
Maximum intelligence.
agent_config.py β€” Odoo AI Agent Framework
# Initialize your AI Agent in Odoo CE v18
from odoo.addons.ai_agent import AgentBuilder, Tool

agent = AgentBuilder()
.model("gpt-4o")
.persona("You are a helpful Odoo ERP assistant...")
.tools([
Tool("search_partners", model="res.partner"),
Tool("create_sale_order", model="sale.order"),
Tool("send_email", service="mail.compose.message"),
])
.memory(type="vector", backend="pgvector")
.guardrails(content_filter=True, max_actions=10)
.build()

# Run the agent
result = await agent.run(
user_input="Find all overdue invoices and draft follow-up emails",
session_id=env.user.id
)
Works with your
entire stack
πŸ€–OpenAI
✦Claude
β™ŠGemini
πŸ¦™Llama
🐘PostgreSQL
πŸ”Elasticsearch
πŸ“§SendGrid
πŸ’¬Slack
πŸ“…Google Cal
🌐REST APIs
πŸ“¦S3 / Object
πŸ”—Webhooks

Ready to build your
first agent?

Start developing AI agents in your Odoo instance in under 10 minutes. No infrastructure setup required.