llms.txt Content
# OpenRouter
> A unified API for every major LLM. One endpoint, hundreds of models, with
> routing, fallbacks, and cost tracking across providers.
## Ori
- [Ori Eval](https://openrouter.ai/ori/eval.md): Prove the best model for your project — run your agent on your own prompts, on a harness and model that stay pinned, and rank the candidates.
- [spawn-ori-eval skill](https://openrouter.ai/skills/spawn-ori-eval): For coding agents. Read it to run a model eval by handing it to Ori, so the eval is authored and graded on a pinned harness and model rather than one you improvised.
- [install-ori-harness skill](https://openrouter.ai/skills/install-ori-harness): For coding agents. Read it to install Ori, sign in, run an existing agent CLI through Ori, choose an OpenRouter model, and verify the setup.
- [Install Ori](https://openrouter.ai/labs/ori/install.sh): `curl -fsSL https://openrouter.ai/labs/ori/install.sh | sh`
## Skills
- [Skills](https://github.com/OpenRouterTeam/skills): Every skill OpenRouter publishes. Each one is served as raw markdown from `https://openrouter.ai/skills/<name>` (also at `/.well-known/skills/<name>/SKILL.md`, for agents that look there first).
- [Agent guide](https://openrouter.ai/agents.md): Using OpenRouter from a coding agent.
## Docs
- [Migrating to @openrouter/agent](https://openrouter.ai/docs/agent-sdk/agent-migration.md): Move agent toolkit imports from @openrouter/sdk to the standalone @openrouter/agent package
- [Agent SDK API Reference](https://openrouter.ai/docs/agent-sdk/call-model/api-reference.md): Type signatures and exports for the Agent SDK, covering callModel, ModelResult, tool types, conversation state helpers, stop conditions, and format utilities.
- [Dynamic Parameters](https://openrouter.ai/docs/agent-sdk/call-model/dynamic-parameters.md): Use async functions for adaptive model behavior across turns
- [Skills Loader](https://openrouter.ai/docs/agent-sdk/call-model/examples/skills-loader.md): A complete implementati