Agent development

Build agents with policy and access controls.

Cortega does not change how you build agents. It puts a governance envelope around them, so security, compliance, and legal can approve deployment without blocking development.

Agents connect through Cortega the same way they connect to any API
Framework-agnostic

Any framework

01

OpenAI-compatible API

Cortega presents a standard /v1/chat/completions interface. To your agents it looks like a model provider.

02

Anthropic-compatible API

Same pattern for /v1/messages. Claude-powered agents route through Cortega without code changes.

03

MCP-native

Cortega proxies MCP tool calls with access control, argument inspection, fingerprinting, and 2025↔2026 protocol bridging.

Production ready

Request-level governance

01

Test plane to production plane

Develop against the same policy model that governs production. Promote the policy, do not rewrite it.

02

OTEL-native observability

Every governed request emits OpenTelemetry spans with identity, model, policy decision, and cost. No proprietary format.

03

Replay and debug

Observability records carry full replay context: identity check, policy evaluation, guardrail scan, routing decision, in one view.

In the console

The evidence

Observability — every governed request
Observability
Model access
Guardrails

From the Cortega console.

Routing

Routing

01

Weighted, failover, conditional

Split traffic by weight, fail over automatically when a provider goes down, or route on rules you define.

02

Cross-cloud failover

Reroute on provider failure across AWS, Azure, GCP, and approved private environments. Agents see no error.

03

Pick the models first

The free Model Recommender ranks models against your workload and priorities.

Model comparison →

MAKE YOUR NEXT MOVE

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Explore how Cortega fits your AI environment.

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