Testing Lucid API workflows: contracts, fixtures, and failure cases
Build a layered test suite that checks schema meaning, ownership, model adapters, asynchronous state, and user-visible outcomes.
LUCID API LAB / TOPIC THREAD
API design
Make the contract readable.
Make the contract readable.
API design connects the shape of a request to the behavior a client can rely on. These articles cover resource boundaries, journal schemas, access control, error recovery, and testing. Start with the architecture guide, then follow the examples into a single end-to-end workflow.
A useful review question is simple: can two developers independently explain the same failure outcome? If one expects a saved record and the other expects a rolled-back operation, the contract still contains an ambiguity. Use the schema and testing guides to resolve it before adding more endpoints. Proposed fields are examples, not a deployed platform specification.
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Field guides following
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Dream-data API security: protect entries, derivatives, and access paths
A practical threat-modeling guide for journal records, generated summaries, exports, background jobs, and administrative access.
Lucid AI API integration: timeouts, retries, and results you can trust
Design a recoverable model-integration boundary with bounded retries, explicit job states, output validation, and useful telemetry.
Lucid API architecture: start with the contract, not the model
A practical starting point for separating dream records, AI transformations, and agent actions into an understandable API.
Designing a Lucid Dream API: a journal schema that preserves uncertainty
Model dream reports, revisions, consent choices, and generated annotations without turning missing information into false certainty.