Platform Architecture
Four pillars. One platform.
Not a patchwork — an AI control plane engineered from the ground up for enterprise security, governance, and scale.
AI Gateway
A single unified entry point for every LLM. Seamlessly switch model providers, enforce per-team token budgets, and apply real-time policy guardrails.
Agent Workspace
Centrally manage agent runtimes, prompts, tools, and knowledge base bindings for production-grade AI deployments.
Enterprise IAM
Deep SSO integration with multi-tenant RBAC and Virtual Keys. Model access never crosses organizational boundaries.
Full Observability
From fleet-wide metrics down to individual trace spans. Every reasoning step, tool call, and audit log is captured in real time.
Developer Experience
Three lines.
Full control.
The taimoe-python SDK isn’t another framework — it’s your governance bridge. Plug into Google ADK and other agent frameworks so developers ship business logic while the platform handles compliance, observability, and model routing.
from google.adk import LlmAgent
from taimoe.platform import init
# 1. Initialize SDK — fetches governance policy & configs
registry = init(api_key="...", runtime_name="my-runtime")
# 2. Write standard Google ADK agent logic
agent = LlmAgent(
name="hr_assistant",
model="gemini-1.5-pro",
)
# 3. Register — observability & guardrails wire up automatically
registry.register(agent)Documentation Navigation
Choose your path
Documentation shouldn't feel like a maze. Select the guide tailored to your role.
User Guide
Step-by-step documentation for console login, team workspaces, agent creation, and IAM policy management.
Explore →ArchitectureTechnical Guide
Deep dive into gateway design, runtime registry, agent integration models, and security governance.
Explore →BuildAPI Reference
Comprehensive OpenAPI specification, endpoints, schemas, authentication, and error codes for direct integration.
Explore →IntegratePython SDK
Installation, quickstart guides, and auto-generated API references for the taimoe-python SDK.
Explore →Finance-grade hybrid architecture.
Built for the strictest data-residency requirements in financial services. A deployment model flexible enough to keep you in total control.
- ✓Deploy on your own infrastructure (VPC or on-premise)
- ✓Sensitive business data and knowledge bases never leave your boundary
- ✓Seamless, policy-controlled access to external SaaS model providers
Ready to govern your AI?
Discover how Aegis integrates into your enterprise environment with end-to-end security and full auditability.