Add Memory to an OpenAI SDK App: Choose the Integration Boundary

OpenAI SDK applications can incorporate persistent context by retrieving it before model requests, exposing retrieval through a conditional tool, or using a documented integration, with the appropriate approach depending on timing and required control over data access and storage. Pre-request retrieval makes failures visible before generation, while tool-based retrieval can be used selectively but requires strict scope controls, argument validation, and testing for missed or repeated calls. Applications should separate retrieved evidence from system instructions, retain source identifiers, set context limits, distinguish empty results from service failures, and establish explicit policies for storing only reliable, provenance-preserving information. The guidance emphasizes that SDK and Agents SDK memory features should not be assumed to overlap, recommends using supported provider documentation and compatible versions, and advises testing with fictional users, corrections, removals, and tenant isolation before broad migration. Teams should inspect actual model inputs, trace responsibility across retrieval and generation components, retain the prior read path during comparison, and expand gradually through capture review, shadow retrieval, and rollback planning.

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