Scalekit AgentKit returns native LangChain StructuredTool objects. Enable LangSmith tracing and every tool call — Gmail fetches, Slack messages, GitHub searches — appears as a traced span automatically. This recipe walks through setup, a working agent, and verifying traces in the LangSmith dashboard.
Poll Gmail with AgentKit tools, send each new thread through a multi-stage LiteLLM pipeline with per-stage models, notify Slack, then approve filing a GitHub issue and sending a reply from a localhost dashboard.
Apify Actors run in isolated containers with no persistent session — there is no concept of “who is logged in.” This recipe shows how to use Apify’s built-in user identity as the key into Scalekit’s OAuth token vault, so each user who runs your Actor connects their own third-party accounts, and tokens survive across runs without any user-managed input fields.
Machine-to-machine access tokens are JWTs signed by Scalekit. Your API verifies signatures using the published JWKS at /keys, then authorizes requests using the scopes embedded in each token. This cookbook ties those ideas together end to end.
Install the Scalekit Auth Stack plugin into your coding agent and paste one prompt. The agent scaffolds OAuth handling, token management, and connected account logic so you can start writing agent logic immediately.
