Define the Request Boundary
Keep API calls on a server you control. Store credentials in an access-controlled secret manager; do not embed them in browser code, mobile application packages, sample requests, or logs. For each feature, document which data categories it may send, why they are needed, who may invoke it, and how long related records are retained. Apply your own privacy and authorization rules before dispatch: an API integration does not make sensitive input safe to disclose. NexoToken provides AI model API access that can serve an existing application integration. Consult the current main platform documentation for verified configuration and account procedures; do not infer endpoint names or credential behavior from examples elsewhere.
Verify Protocol and Input
Before implementation, check the current documentation for authentication, request shape, content type, supported interaction patterns, timeout semantics, and streaming event format. Treat each as a compatibility requirement, not an assumption. Validate requests on the server: enforce expected types and bounded input sizes, reject unexpected fields, and authorize the caller for the specific operation. For a hypothetical support-ticket summarizer, for example, accept only ticket text the caller is permitted to access, remove account identifiers that the summary does not need, and reject an oversized body. Keep untrusted ticket text distinct from application instructions. Document which checks are required by your own policy, then run them against representative allowed and rejected inputs and record the actual outcomes.
Parse Responses as Untrusted Data
Handle status, encoding, and response structure according to the documented protocol. Check that required fields exist and have expected types before using them; treat malformed, missing, or unexpected content as a bounded failure, not as a successful empty result. Avoid logging raw prompts or responses when they may contain private data; retain only redacted diagnostics needed to investigate failures. Never execute returned text as a shell command, SQL statement, template, or authorization rule. In the hypothetical ticket workflow, display a summary as text and apply your application's link and markup policy before rendering. If your application needs structured output, define an allowed schema and validate each field, including length and permitted values. Handle refusal, empty content, and truncated content as distinguishable outcomes where the protocol lets you identify them, and do not perform dependent actions on incomplete output.
Bound Streaming and Failures
If you use streaming, verify how the documented protocol marks events, completion, errors, and cancellation. Account for client disconnects and any proxy buffering in your own deployment; do not treat a partial stream as a complete result. Set explicit request deadlines, response-size limits, concurrency limits, and a finite retry budget. Before retrying, consider whether the request may already have been processed, and prevent duplicate side effects in your application. Give authentication errors, rate limits, timeouts, and parse failures separate handling paths, while keeping secrets and internal diagnostics out of user-visible messages. Define your own checks for normal completion, disconnect, oversized responses, malformed events, and timeout. Run those checks in your environment, record the observed outcomes and conditions, and use that evidence to decide whether the integration meets your requirements.
Sources & further reading
NexoToken platform and community
Platform website: https://www.nexotoken.net/
QQ community group: 822274386
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