Integrate with Orlo
For task answers, send Orlo an input. It selects a release, calls the model with your provider credential when needed, and checks the complete answer before returning it.
For agents, keep the model call in your runtime. The SDK asks Orlo before tools act; your provider’s native stream can stay direct. See both request paths and their diagrams.
Application APIs and SDKs use a runtime key at https://api.useorlo.com. Employees connect their AI app with an Orlo sign-in and OAuth; start with Use shared skills. An admin creates the key with the scopes you need; see Sign up and create a key.
| Page | For |
|---|---|
| Authentication | Bearer keys, scopes, idempotency, errors, rate limits |
| Provider key security | How credentials are protected, used, and revoked |
| Run a task | Call a task’s live release and act on the rule results |
| Chat completions | Call a task through the OpenAI-compatible endpoint without changing your client |
| Agent SDK for TypeScript | Keep your model connection and check tool actions from Node.js |
| Python and LangGraph | The same, from a LangGraph or LangChain application |
| Skills in your AI tools | Claude and ChatGPT through the connector, Claude Code through the installer, your own agents through the SDK |
| Feedback and corrections | Send scores and corrections from your application |
| Declare agent configuration | Identify the model and application revision used for measured permission evidence |
| Report action outcomes | Record tool execution and later business results separately |
| Webhooks and approvals | Receive signed decisions and resume a saved agent step |
The full endpoint list is in the API reference.
Find a specific answer
Browse questions about tasks, skills, access, and agent behavior. Each question has a direct answer and a focused guide.