Decision guides

Choose the right agent backend layer

Evergreen architecture guides for comparing model APIs, model routers, agent runtimes, and hosted harness backends. Product integration steps remain in Docs.

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7 guides

Integration

Claude Code as a service

How to run Claude Code headless behind your product: the API contract, multi-tenant authorization, per-task sandbox isolation, document skills, and configuration comparison.

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Integration

Hermes API

How to run Nous Research's Hermes agent through an API: what Hermes is, the task and session contract, model pairing, and what its benchmark results show about cost and speed.

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Concepts

What is an agent harness

An agent harness is the runtime layer around a model that turns it into a working agent: the loop, context, tools, permissions, sandboxing, and recovery. Definition, origins, examples, and how it fits the stack.

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Architecture

AI agent API

What a product needs when users expect completed work: sessions, streaming, files, artifacts, routing, and production controls.

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Codex

Codex API

The current Codex API reality: OpenAI's seven Codex surfaces, what the Codex SDK actually is, why there is no hosted REST API for Codex tasks in current docs, and how to run Codex over HTTP today.

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Architecture

Agent backend or model router?

Use this page to separate model access from product-facing agent work with sessions, files, artifacts, and traces.

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OpenRouter

HarnessRouter and OpenRouter

How model routing and agent-backed product work fit together in one stack.

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