The Octri Blog
Product updates and practical writing on API documentation, SDKs, and developer experience.

Give an agent a real task, an isolated sandbox and a result you can verify. Check the records and code the agent produces.

Compare agent interfaces with the same task, permissions and outcome checks. Token counts mean little when one path does less work.

An HTTP success status starts a stream; it does not prove the operation finished. Design explicit completion, interruption and recovery semantics.

Connect a published SDK to its inputs and build workflow. Understand what trusted publishing and provenance establish, and what still needs review.

Follow identity from MCP client to downstream API. Check token audiences, delegated credentials and tenant authorization at each boundary.

Design bounded responses that preserve useful facts. Filter, select and aggregate before large intermediate payloads enter an agent's context.

Run published examples against isolated fixtures and verify their outcomes. Compilation catches only one class of documentation failure.

Give asynchronous work an operation handle, explicit states and a documented recovery path. Acceptance is different from completion.

Describe dependencies, inputs and success conditions across API calls. Use Arazzo to make integration workflows explicit alongside OpenAPI.

Derive public, partner and internal API descriptions from one base contract. Use repeatable overlays and validate each audience's output.

A tool can avoid writes while returning hostile instructions. Treat customer-controlled API content as untrusted data throughout an agent workflow.

Coordinate agent fan-out against shared request and concurrency budgets. Queue work before dispatch instead of turning overload into a retry loop.

A valid JSON number is not a portable precision guarantee. Protect identifiers and decimal amounts with explicit wire contracts and cross-language tests.

Test SDK behavior against named runtimes and versions. Successful imports and familiar web APIs do not establish full runtime compatibility.

Join request spans through context propagation. Understand retry attempts, database operations and trust boundaries without treating trace metadata as authorization.

Extra metric dimensions can create far more time series without extra requests. Bound labels, understand overflow and retain the labels needed for diagnosis.

Follow credentials through a documentation playground. Check browser storage, request destinations, proxy behavior and logs.

Design deterministic failure scenarios alongside happy paths. Give humans and agents a safe place to practice the behaviors production integrations need.

Follow onboarding from discovery to a verified result. Track completed steps and find where developers get stuck without collecting secrets or customer payloads.

Use schema-driven and stateful tests to explore API behavior. Preserve minimized failures and add business invariants the schema cannot express.
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