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Clear out junk files and repair common Windows errorsFree Scan →Scan for outdated or missing drivers - takes under a minuteDriver Scan →Repair Windows errors before they cause bigger problemsFix Now →Normalize every supported trigger at the workflow’s entry boundary: decode and map its request into one canonical internal object, validate that object against the workflow contract, and pass only the validated result to orchestration. This keeps transport-specific details out of business logic. Parsing alone is not validation, and the request shape depends on the particular API—not on a universal rule that direct callers send either an object or a JSON string.
What normalization does—and what it does not do
Different entry paths may represent the same business input differently: one may use a transport envelope, another may use different field names, or a caller may provide serialized JSON where another path supplies an object. Those differences belong at the boundary, not in every downstream workflow step. The title-matched RayLabs article describes an in-process object versus a serialized JSON string as one implementation scenario; it should not be taken as a property of every workflow API.
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Normalization decodes and maps an incoming representation into a canonical shape. Validation then checks whether that shape satisfies the workflow’s contract: required fields exist, values have acceptable types and ranges, and disallowed keys are rejected when the endpoint requires a strict shape. A successfully parsed object can still be incomplete, wrongly typed, or unsafe to use.
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Define the contract for each entry path
Before implementing a mapper, document what each endpoint or trigger actually accepts. Confirm the media type, body and envelope shape, accepted and required fields, authentication or signature requirements, and error behavior. Do not infer these from another platform or from the fact that an entry point is called a direct API.
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For example, Runsight documents a direct invocation body that must contain only an inputs property and says validation failures return HTTP 422. Those are Runsight-specific contract details, not general rules for workflow APIs. Its documentation also illustrates a useful separation: caller-provided inputs can be kept apart from server-authored run metadata such as source and branch. Runsight documentation
Make policy decisions explicit and versioned: whether unknown keys are rejected, how schema changes are introduced, and whether defaults are safe and unambiguous. A permissive policy can ease compatibility but may silently accept misspelled or unintended fields; a strict policy can catch mistakes early but requires clients to follow the published contract.
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Build a safe normalization boundary
- Retain and authenticate the original request when required. For signed webhooks, keep the raw body and verify the provider’s signature and required identifiers or timestamps against the transmitted representation before parsing or transforming it. Standard Webhooks explains that even small serialization changes can invalidate a signature.
- Decode once according to the documented media type. Reject malformed input with a clear client-facing error. Do not guess whether a body is an object or a JSON-encoded string unless the endpoint contract or confirmed runtime behavior says which representation is valid.
- Map source-specific fields and envelopes. Convert supported trigger formats into the canonical internal object. Keep this mapping in one entry-layer component rather than distributing transport checks across workflow steps.
- Validate the canonical object. Apply a versioned schema and explicit rules for required values, types, unknown keys, and defaults. Return an actionable error before execution if validation fails.
- Pass only validated inputs downstream. Keep server-owned execution metadata separate from caller-controlled input so a request cannot impersonate orchestration context.
Choose the webhook payload shape for its consumers
Standard Webhooks specification v1.0.0 recommends JSON for broad compatibility, while allowing other content types. It describes a conventional event structure with an event type, event timestamp, and event data, but does not mandate a single schema. The specification recommends that typical payloads be smaller than 20 KB; that is guidance, not a technical maximum or a universal API limit. Standard Webhooks specification
Publish event-specific examples and a formal contract such as JSON Schema or OpenAPI. Choose full or thin event payloads based on what consumers need and what the producer can responsibly provide:
- Full payload: includes event and related entity details, so a consumer can often act without another lookup. It may transfer and expose more data than necessary.
- Thin payload: centers on identifiers and possibly change information. It can reduce transfer and generation costs, let consumers fetch only needed details, and provide more control over access, but requires follow-up retrieval when details are needed.
Account for consumer needs, performance, producer capabilities, privacy, access control, and audit requirements; neither shape is universally best.
Preserve webhook signature and delivery semantics
For a signed webhook, the Standard Webhooks specification describes signing the webhook identifier, delivery-attempt timestamp, and body together; its example signing input is msg_id.timestamp.payload. Verify using the provider’s exact signing rules and the original representation. Parsing JSON and serializing it again can change whitespace or representation, causing verification to fail even when the data appears equivalent.
Keep the event’s occurrence time distinct from the time of a delivery attempt. A retry can refer to the same event while carrying a newer attempt timestamp. Where the provider supplies a stable event or webhook identifier, record it and use it to avoid processing the same event repeatedly. Standard Webhooks also recommends retrying failed deliveries with exponential backoff and jitter and treating 2xx responses as successful delivery; apply those practices according to the producer’s contract.
Test equivalent inputs across every trigger
Exercise each supported ingress path, including direct API calls, against the same canonical contract. For inputs that represent the same business request, confirm that each path produces an equivalent canonical object before orchestration begins.
- Valid input with all required fields.
- Malformed JSON or a body with an unexpected media type.
- Missing required values and wrong value types.
- Empty optional data and unknown keys.
- Invalid signatures and replayed webhook identifiers, where applicable.
- Each supported schema version and its intended defaults.
Check that failures stop execution and explain what the caller can fix without exposing sensitive internals. This boundary-focused testing catches both transport-specific parsing errors and contract violations before they reach workflow logic.
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